CN117873220A - An intelligent temperature control system for a reaction device based on artificial intelligence - Google Patents

Abstract

The present invention belongs to the field of temperature control and relates to data analysis technology, and is used to solve the problem that the temperature control efficiency and material temperature uniformity of the existing reaction device temperature control system cannot be taken into account at the same time. Specifically, it is an intelligent temperature control system for a reaction device based on artificial intelligence, including a temperature control platform, and the temperature control platform is communicatively connected with a temperature control module, a heating analysis module, a control management module and a storage module; the temperature control module is used to intelligently control the temperature of the reaction device: before the reaction device is operated, the user selects a control mode according to his own needs to perform temperature control, and the control mode includes an incremental mode and a top mode; the present invention can intelligently control the temperature of the reaction device, and the user can select the control mode according to his own needs. The incremental mode can ensure the material temperature uniformity of the reaction device, and the top mode can ensure the temperature control efficiency of the reaction device.

Description

An intelligent temperature control system for a reaction device based on artificial intelligence

Technical Field

The invention belongs to the field of temperature control and relates to data analysis technology, and specifically is an intelligent temperature control system for a reaction device based on artificial intelligence.

Background technique

The intelligent temperature control system of the reaction device mainly involves the controlled object, detection and transmission device, control device and execution and adjustment mechanism. Specifically for temperature control, the temperature control of a conventional reactor can be achieved with a simple PID single-loop adjustment.

The existing temperature control system of the reaction device can usually only adopt a single control mode for temperature control, which makes it impossible to balance the temperature control efficiency of the reaction device and the temperature uniformity of the materials. In addition, the traditional temperature control system of the reaction device cannot perform periodic dynamic optimization of the temperature control process through temperature control parameters.

In view of the above technical problems, this application proposes a solution.

Summary of the invention

The purpose of the present invention is to provide an intelligent temperature control system for a reaction device based on artificial intelligence, which is used to solve the problem that the temperature control efficiency and material temperature uniformity of the existing temperature control system of the reaction device cannot be taken into account at the same time;

The technical problem to be solved by the present invention is: how to provide an intelligent temperature control system for a reaction device based on artificial intelligence that can take into account both temperature control efficiency and material temperature uniformity.

The purpose of the present invention can be achieved through the following technical solutions:

An artificial intelligence-based intelligent temperature control system for a reaction device, comprising a temperature control platform, wherein the temperature control platform is communicatively connected with a temperature control module, a heating analysis module, a control management module and a storage module;

The temperature control module is used to intelligently control the temperature of the reaction device: before the reaction device is operated, the user selects a control mode for temperature control according to his own needs, and the control mode includes an incremental mode and a top mode. When the user does not select a control mode, a control mode is randomly selected to control the temperature of the reaction device;

The heating analysis module is used to analyze the heating and temperature control process of the reaction device: when the heating and temperature control process of the reaction device ends, the duration data SC and the uniform data JY of the heating and temperature control process are obtained and numerical calculations are performed to obtain the analysis coefficient FX of the heating and temperature control process, and the heating and temperature control process is marked as a normal process or an abnormal process by the analysis coefficient FX;

The control management module is used to manage and analyze the temperature control mode of the reaction device.

As a preferred embodiment of the present invention, the specific process of controlling the temperature of the reaction device in the incremental mode includes: obtaining the target temperature value of the reaction device, calling the incremental temperature table through the storage module, the incremental temperature table includes the incremental temperature value DZi and the switching temperature value QHi, i=1, 2, ..., n, n is a positive integer, the incremental temperature value DZi and the switching temperature value QHi satisfy: SW=DZi+1-DZi and QHi=t1*DZi, wherein SW is the temperature rise value of the adjacent incremental temperature value DZi, t1 is the proportional coefficient, and 0.75 ≤t1≤0.85; [DZi-1, DZi) constitute n-1 heating intervals, and the heating interval where the target temperature value is located is marked as the termination interval; the medium temperature in the jacket of the reaction device is set to DZ1, and the temperature value of the material in the reaction device is collected in real time and marked as the material temperature value. When the material temperature value reaches QH1, the medium temperature is set to DZ2, and so on, until the medium temperature is set to the maximum boundary value of the termination interval. When the material temperature value reaches the target temperature value, the heating and temperature control process ends, and the medium temperature is set to the target temperature value for constant temperature control.

As a preferred embodiment of the present invention, the specific process of temperature control of the reaction device using the top mode includes: obtaining the target temperature value of the reaction device and marking it as MB, obtaining the top value DD by the formula DD=t2*MB, wherein t2 is the proportional coefficient, and 1.05≤t2≤1.15, setting the medium temperature in the jacket of the reaction device to the top value, collecting the temperature value of the material in the reaction device in real time and marking it as the material temperature value, when the material temperature value reaches the target temperature value, the heating and temperature control process ends, and the medium temperature is set to the target temperature value for constant temperature control.

As a preferred embodiment of the present invention, the duration data SC is the duration of the heating and temperature control process, and the process of obtaining the uniform data JY includes: setting a number of monitoring points in the reaction device, collecting the material temperature values of the monitoring points in real time during the heating and temperature control process and marking them as monitoring values, marking the maximum value of the monitoring values as the material temperature value, and when the material temperature value reaches the target temperature value, the monitoring values of all monitoring points constitute a monitoring set, and the variance of the monitoring set is calculated to obtain the uniform data JY.

As a preferred embodiment of the present invention, the specific process of marking the heating and temperature control process as a normal process or an abnormal process includes: obtaining the analysis threshold FXmax through the storage module, and comparing the analysis coefficient FX with the analysis threshold FXmax: if the analysis coefficient FX is less than the analysis threshold FXmax, it is determined that the heating and temperature control process meets the requirements, and the corresponding heating and temperature control process is marked as a normal process; if the analysis coefficient FX is greater than or equal to the analysis threshold FXmax, it is determined that the heating and temperature control process does not meet the requirements, and the corresponding heating and temperature control process is marked as an abnormal process.

As a preferred embodiment of the present invention, the specific process of the control management module managing and analyzing the temperature control mode of the reaction device includes: generating a management cycle, wherein the target range is formed by the maximum and minimum values of the target temperature values when the reaction device is running during the management cycle, the target range is divided into a number of target intervals, the analysis coefficients FX of all heating and temperature control processes that use the incremental mode for temperature control in the target interval are obtained and summed up to obtain the incremental analysis value, the analysis coefficients of all heating and temperature control processes that use the top mode for temperature control in the target interval are obtained and summed up to obtain the top analysis value, the incremental analysis value is numerically compared with the top analysis value and the priority mode of the target interval is marked by the comparison result; the random selection weight of the priority mode of the target interval is set to t3, 0.65≤t3≤0.75.

As a preferred embodiment of the present invention, the specific process of numerically comparing the incremental analysis value with the top analysis value includes: if the incremental analysis value is less than or equal to the top analysis value, the incremental mode is marked as the priority mode of the target interval; if the incremental analysis value is greater than the top analysis value, the top mode is marked as the priority mode of the target interval.

As a preferred embodiment of the present invention, the specific process of the control management module managing and analyzing the temperature control mode of the reaction device also includes: marking the proportion of the number of abnormal processes in the heating and temperature control process using the incremental mode within the management period as an incremental abnormal value, marking the proportion of the number of abnormal processes in the heating and temperature control process using the top mode within the management period as a top abnormal value, obtaining the abnormal threshold through the storage module, and comparing the incremental abnormal value with the abnormal threshold: if the incremental abnormal value is less than the abnormal threshold, it is determined that the temperature control process of the incremental mode meets the requirements; if the incremental abnormal value is greater than or equal to the abnormal threshold, it is determined that the temperature control process of the incremental mode does not meet the requirements, generating a temperature table optimization signal and sending the temperature table optimization signal to the mobile phone terminal of the manager through the temperature control platform; comparing the top abnormal value with the abnormal threshold: if the top abnormal value is less than the top abnormal threshold, it is determined that the temperature control process of the top mode meets the requirements; if the top abnormal value is greater than or equal to the abnormal threshold, it is determined that the temperature control process of the top mode does not meet the requirements, generating a heating optimization signal and sending the heating optimization signal to the mobile phone terminal of the manager through the temperature control platform.

As a preferred embodiment of the present invention, the working method of the intelligent temperature control system of the reaction device based on artificial intelligence comprises the following steps:

Step 1: Intelligently control the temperature of the reaction device: Before the reaction device is operated, the user selects a control mode for temperature control according to his own needs. The control modes include incremental mode and top mode. If the user does not select a control mode, a control mode is randomly selected to control the temperature of the reaction device;

Step 2: The heating analysis module is used to analyze the heating and temperature control process of the reaction device: when the heating and temperature control process of the reaction device ends, the duration data SC and uniform data JY of the heating and temperature control process are obtained and numerical calculation is performed to obtain the analysis coefficient FX of the heating and temperature control process;

Step 3: Manage and analyze the temperature control mode of the reaction device: generate a management cycle, and the target range is composed of the maximum and minimum values of the target temperature value when the reaction device is running during the management cycle. The target range is divided into several target intervals, and the priority mode of the target interval is marked by the incremental analysis value and the top analysis value.

The present invention has the following beneficial effects:

1. The temperature of the reaction device can be intelligently controlled through the temperature control module. Users can select the control mode according to their own needs. The incremental mode can ensure the uniformity of the material temperature of the reaction device, while the top mode can ensure the temperature control efficiency of the reaction device;

2. The heating analysis module can be used to analyze the heating and temperature control process of the reaction device, collect the temperature control effect parameters in the heating and temperature control process, and perform comprehensive calculations to obtain the analysis coefficient. The temperature control effect of the heating and temperature control process can be fed back through the analysis coefficient, and the heating and temperature control process can be differentiated and marked according to the analysis coefficient, providing data support for control mode management and analysis;

3. The control management module can be used to manage and analyze the temperature control mode of the reaction device, mark the priority modes of all target intervals within the management cycle, and improve the overall temperature control effect by setting the random selection weights of the target interval priority modes. At the same time, the necessity of optimizing the temperature control process is evaluated based on the incremental outliers and top outliers.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a system block diagram of Embodiment 1 of the present invention;

FIG. 2 is a flow chart of a method according to a second embodiment of the present invention.

Detailed ways

The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Embodiment 1

As shown in FIG1 , an artificial intelligence-based intelligent temperature control system for a reaction device includes a temperature control platform, which is communicatively connected to a temperature control module, a heating analysis module, a control management module, and a storage module.

The temperature control module is used to intelligently control the temperature of the reaction device: before the reaction device is operated, the user selects a control mode for temperature control according to his own needs. The control modes include an incremental mode and a top mode. When the user does not select a control mode, a control mode is randomly selected to control the temperature of the reaction device; the specific process of using the incremental mode to control the temperature of the reaction device includes: obtaining the target temperature value of the reaction device, calling the incremental temperature table through the storage module, the incremental temperature table includes the incremental temperature value DZi and the switching temperature value QHi, i=1, 2,..., n, n is a positive integer, the incremental temperature value DZi and the switching temperature value QHi satisfy: SW=DZi+1-DZi and QHi=t1*DZi, where SW is the temperature rise value of the adjacent incremental temperature value DZi, t1 is the proportional coefficient, and 0.75≤t1≤0.85; [DZi-1, DZi) constitutes n-1 temperature rise intervals, and the temperature rise interval where the target temperature value is located is marked as the end interval; the medium temperature in the jacket of the reaction device is set to DZ1, and the reaction is collected in real time The temperature value of the material in the device is marked as the material temperature value. When the material temperature value reaches QH1, the medium temperature is set to DZ2, and so on, until the medium temperature is set to the maximum boundary value of the termination interval. When the material temperature value reaches the target temperature value, the heating temperature control process ends, and the medium temperature is set to the target temperature value for constant temperature control; the specific process of using the top mode to control the temperature of the reaction device includes: obtaining the target temperature value of the reaction device and marking it as MB, obtaining the top value DD through the formula DD=t2*MB, where t2 is the proportional coefficient, and 1.05≤t2≤1.15, uniformly increasing the medium temperature in the jacket of the reaction device to the top value, collecting the temperature value of the material in the reaction device in real time and marking it as the material temperature value, when the material temperature value reaches the target temperature value, the heating temperature control process ends, and the medium temperature is set to the target temperature value for constant temperature control; the temperature of the reaction device is intelligently controlled, and the user can select the control mode according to their own needs. The incremental mode can ensure the uniformity of the material temperature of the reaction device, while the top mode can ensure the temperature control efficiency of the reaction device.

The heating analysis module is used to analyze the heating and temperature control process of the reaction device: when the heating and temperature control process of the reaction device is completed, the duration data SC and uniform data JY of the heating and temperature control process are obtained, the duration data SC is the duration of the heating and temperature control process, and the process of obtaining the uniform data JY includes: setting a number of monitoring points in the reaction device, collecting the material temperature values of the monitoring points in real time during the heating and temperature control process and marking them as monitoring values, marking the maximum value of the monitoring values as the material temperature value, and when the material temperature value reaches the target temperature value, the monitoring values of all monitoring points constitute a monitoring set, and the variance of the monitoring set is calculated to obtain the uniform data JY, and the analysis coefficient FX of the heating and temperature control process is obtained by the formula FX=α1*SC+α2*JY, where α1 and α2 are both proportional coefficients, and α2＞ α1＞1; the analysis threshold FXmax is obtained through the storage module, and the analysis coefficient FX is compared with the analysis threshold FXmax: if the analysis coefficient FX is less than the analysis threshold FXmax, it is determined that the heating and temperature control process meets the requirements, and the corresponding heating and temperature control process is marked as a normal process; if the analysis coefficient FX is greater than or equal to the analysis threshold FXmax, it is determined that the heating and temperature control process does not meet the requirements, and the corresponding heating and temperature control process is marked as an abnormal process; the heating and temperature control process of the reaction device is analyzed, the temperature control effect parameters in the heating and temperature control process are collected and comprehensively calculated to obtain the analysis coefficient, the temperature control effect of the heating and temperature control process is fed back through the analysis coefficient, and the heating and temperature control process is differentiated according to the analysis coefficient, providing data support for control mode management analysis.

The control management module is used to manage and analyze the temperature control mode of the reaction device: generate a management cycle, the maximum and minimum values of the target temperature value when the reaction device is running during the management cycle constitute the target range, divide the target range into several target intervals, obtain the analysis coefficient FX of all heating temperature control processes that use the incremental mode for temperature control within the target interval, sum and average them to obtain the incremental analysis value, obtain the analysis coefficients of all heating temperature control processes that use the top mode for temperature control within the target interval, sum and average them to obtain the top analysis value, and compare the incremental analysis value with the top analysis value: if the incremental analysis value is less than or equal to the top analysis value, the incremental mode is marked as the priority mode of the target interval; if the incremental analysis value is greater than the top analysis value, the top mode is marked as the priority mode of the target interval; the random selection weight of the priority mode of the target interval is set to t3, 0.65≤t3≤0.75; the proportion of the number of abnormal processes in the heating temperature control process using the incremental mode within the management cycle is marked as the incremental abnormal value, and the number of abnormal processes in the heating temperature control process using the top mode within the management cycle is marked as the incremental abnormal value. The proportion is marked as the top abnormal value, and the abnormal threshold is obtained through the storage module. The increasing abnormal value is compared with the abnormal threshold: if the increasing abnormal value is less than the abnormal threshold, it is determined that the temperature control process of the increasing mode meets the requirements; if the increasing abnormal value is greater than or equal to the abnormal threshold, it is determined that the temperature control process of the increasing mode does not meet the requirements, and a temperature table optimization signal is generated and sent to the mobile terminal of the manager through the temperature control platform; the top abnormal value is compared with the abnormal threshold: if the top abnormal value is less than the top abnormal threshold, it is determined that the temperature control process of the top mode meets the requirements; if the top abnormal value is greater than or equal to the abnormal threshold, it is determined that the temperature control process of the top mode does not meet the requirements, and a temperature increase optimization signal is generated and sent to the mobile terminal of the manager through the temperature control platform; the temperature control mode of the reaction device is managed and analyzed, the priority modes of all target intervals within the management cycle are marked, and the overall temperature control effect is improved by setting the random selection weight of the priority mode of the target interval, and the necessity of optimizing the temperature control process is evaluated according to the increasing abnormal value and the top abnormal value.

Embodiment 2

As shown in FIG2 , an artificial intelligence-based intelligent temperature control method for a reaction device includes the following steps:

Step 1: Intelligently control the temperature of the reaction device: Before the reaction device is operated, the user selects a control mode for temperature control according to his own needs. The control modes include incremental mode and top mode. If the user does not select a control mode, a control mode is randomly selected to control the temperature of the reaction device;

Step 2: The heating analysis module is used to analyze the heating and temperature control process of the reaction device: when the heating and temperature control process of the reaction device ends, the duration data SC and uniform data JY of the heating and temperature control process are obtained and numerical calculation is performed to obtain the analysis coefficient FX of the heating and temperature control process;

Step 3: Manage and analyze the temperature control mode of the reaction device: generate a management cycle, and the target range is composed of the maximum and minimum values of the target temperature value when the reaction device is running during the management cycle. The target range is divided into several target intervals, and the priority mode of the target interval is marked by the incremental analysis value and the top analysis value.

An intelligent temperature control system for a reaction device based on artificial intelligence. When working, before the reaction device is operated, the user selects a control mode for temperature control according to his own needs, and the control modes include an incremental mode and a top mode. When the user does not select a control mode, a control mode is randomly selected to control the temperature of the reaction device. At the end of the heating and temperature control process of the reaction device, the duration data SC and uniform data JY of the heating and temperature control process are obtained, and numerical calculations are performed to obtain the analysis coefficient FX of the heating and temperature control process. A management cycle is generated, and a target range is formed by the maximum and minimum values of the target temperature values when the reaction device is operated within the management cycle, and the target range is divided into a number of target intervals. The priority mode of the target interval is marked by the incremental analysis value and the top analysis value.

The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the real value. The coefficients in the formula are set by technicians in this field according to the actual situation; for example: formula FX=α1*SC+α2*JY; technicians in this field collect multiple groups of sample data and set corresponding analysis coefficients for each group of sample data; substitute the set analysis coefficients and the collected sample data into the formula, any three formulas constitute a three-variable linear equation group, screen the calculated coefficients and take the average, and obtain the values of α1 and α2 as 3.65 and 2.13 respectively;

The size of the coefficient is to quantify each parameter to obtain a specific value for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding analysis coefficient for each group of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value, such as the analysis coefficient is proportional to the value of the duration data.

In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims (9)

1. The intelligent temperature control system of the reaction device based on artificial intelligence is characterized by comprising a temperature control platform, wherein the temperature control platform is in communication connection with a temperature control module, a heating analysis module, a control management module and a storage module;

the temperature control module is used for intelligently controlling the temperature of the reaction device: before the reaction device runs, a user selects a control mode according to the self requirement to control the temperature, wherein the control mode comprises an increasing mode and a top mode, and when the user does not select the control mode, the user randomly selects one control mode to control the temperature of the reaction device;

the heating analysis module is used for analyzing the heating temperature control process of the reaction device: when the heating temperature control process of the reaction device is finished, acquiring duration data SC and uniform data JY of the heating temperature control process, performing numerical calculation to obtain an analysis coefficient FX of the heating temperature control process, and marking the heating temperature control process as a normal process or an abnormal process through the analysis coefficient FX;

the control management module is used for performing management analysis on the temperature control mode of the reaction device.

2. The intelligent temperature control system for a reaction device based on artificial intelligence according to claim 1, wherein the specific process of controlling the temperature of the reaction device in the incremental mode comprises the following steps: the target temperature value of the reaction device is obtained, an incremental temperature table is called through a storage module, the incremental temperature table comprises an incremental temperature value DZi and a switching temperature value QHi, i=1, 2, …, n and n are positive integers, and the incremental temperature value DZi and the switching temperature value QHi meet the following conditions: sw= DZi +1-DZi and QHi =t1× DZi, wherein SW is a temperature rise value of adjacent incremental temperature values DZi, t1 is a proportionality coefficient, and 0.75.ltoreq.t1.ltoreq.0.85; forming n-1 heating intervals by [ DZi-1, DZi), and marking the heating interval where the target temperature value is located as a termination interval; setting the medium temperature in the jacket of the reaction device as DZ1, collecting the temperature value of the materials in the reaction device in real time and marking the temperature value as a material temperature value, setting the medium temperature as DZ2 when the material temperature value reaches QH1, and the like until the medium temperature is set as the maximum boundary value of a termination interval, and setting the medium temperature as the target temperature value for constant temperature control after the heating temperature control process is finished when the material temperature value reaches the target temperature value.

3. The intelligent temperature control system for a reaction device based on artificial intelligence according to claim 2, wherein the specific process of controlling the temperature of the reaction device by using a top mode comprises: obtaining a target temperature value of a reaction device and marking the target temperature value as MB, obtaining a top end value DD through a formula DD=t2×MB, wherein t2 is a proportionality coefficient, t2 is more than or equal to 1.05 and less than or equal to 1.15, setting the medium temperature in a jacket of the reaction device as the top end value, collecting the temperature value of materials in the reaction device in real time and marking the temperature value as a material temperature value, and setting the medium temperature as the target temperature value to perform constant temperature control when the material temperature value reaches the target temperature value.

4. The intelligent temperature control system of an artificial intelligence based reaction apparatus according to claim 3, wherein the duration data SC is duration of a heating temperature control process, and the process of obtaining the uniform data JY comprises: and setting a plurality of monitoring points in the reaction device, collecting material temperature values of the monitoring points in real time in the heating temperature control process, marking the maximum value of the monitoring values as a material temperature value, forming a monitoring set by the monitoring values of all the monitoring points when the material temperature value reaches a target temperature value, and performing variance calculation on the monitoring set to obtain uniform data JY.

5. The intelligent temperature control system for an artificial intelligence based reaction apparatus according to claim 4, wherein the specific process of marking the heating temperature control process as a normal process or an abnormal process comprises: the analysis threshold FXmax is acquired through the storage module, and the analysis coefficient FX is compared with the analysis threshold FXmax: if the analysis coefficient FX is smaller than the analysis threshold FXmax, judging that the heating temperature control process meets the requirement, and marking the corresponding heating temperature control process as a normal process; if the analysis coefficient FX is greater than or equal to the analysis threshold FXmax, judging that the heating temperature control process does not meet the requirement, and marking the corresponding heating temperature control process as an abnormal process.

6. The intelligent temperature control system of a reaction device based on artificial intelligence according to claim 5, wherein the specific process of controlling and analyzing the temperature control mode of the reaction device by the management module comprises: generating a management period, forming a target range by the maximum value and the minimum value of target temperature values when the reaction device operates in the management period, dividing the target range into a plurality of target intervals, acquiring analysis coefficients FX of all heating temperature control processes which adopt an incremental mode for temperature control in the target intervals, summing and averaging to obtain incremental analysis values, acquiring analysis coefficients of all heating temperature control processes which adopt a top mode for temperature control in the target intervals, summing and averaging to obtain a top analysis value, comparing the incremental analysis values with the top analysis value, and marking the priority mode of the target intervals by a comparison result; the random selection weight of the priority mode of the target interval is set to be t3, and t3 is more than or equal to 0.65 and less than or equal to 0.75.

7. The intelligent temperature control system for an artificial intelligence based reaction apparatus according to claim 6, wherein the specific process of comparing the incremental analysis value with the top analysis value comprises: if the incremental analysis value is smaller than or equal to the top analysis value, marking the incremental mode as a priority mode of the target interval; if the incremental analysis value is greater than the tip analysis value, marking the tip mode as a priority mode of the target interval.

8. The intelligent temperature control system of a reaction device based on artificial intelligence according to claim 7, wherein the specific process of controlling the management module to manage and analyze the temperature control mode of the reaction device further comprises: marking the number proportion of abnormal processes in the heating temperature control process adopting the increment mode in the management period as an increment abnormal value, marking the number proportion of abnormal processes in the heating temperature control process adopting the top mode in the management period as a top abnormal value, acquiring an abnormal threshold value through a storage module, and comparing the increment abnormal value with the abnormal threshold value: if the incremental abnormal value is smaller than the abnormal threshold value, judging that the temperature control process of the incremental mode meets the requirement; if the increment abnormal value is greater than or equal to the abnormal threshold value, judging that the temperature control process of the increment mode does not meet the requirement, generating a thermometer optimization signal and sending the thermometer optimization signal to a mobile phone terminal of a manager through a temperature control platform; comparing the top anomaly value to an anomaly threshold value: if the top abnormal value is smaller than the top abnormal threshold value, judging that the temperature control process of the top mode meets the requirement; if the top abnormal value is greater than or equal to the abnormal threshold value, judging that the temperature control process of the top mode does not meet the requirement, generating a temperature rise optimizing signal and sending the temperature rise optimizing signal to a mobile phone terminal of a manager through a temperature control platform.

9. The intelligent temperature control system for an artificial intelligence based reaction apparatus according to any one of claims 1 to 8, wherein the working method of the intelligent temperature control system for an artificial intelligence based reaction apparatus comprises the steps of:

step one: the temperature of the reaction device is intelligently controlled: before the reaction device runs, a user selects a control mode according to the self requirement to control the temperature, wherein the control mode comprises an increasing mode and a top mode, and when the user does not select the control mode, the user randomly selects one control mode to control the temperature of the reaction device;

step two: the heating analysis module is used for analyzing the heating temperature control process of the reaction device: when the heating temperature control process of the reaction device is finished, acquiring duration data SC and uniform data JY of the heating temperature control process, and performing numerical value calculation to obtain an analysis coefficient FX of the heating temperature control process;

step three: management analysis is performed on the temperature control mode of the reaction device: generating a management period, forming a target range by the maximum value and the minimum value of target temperature values when the reaction device operates in the management period, dividing the target range into a plurality of target sections, and marking the priority mode of the target sections by increasing the analysis value and the top analysis value.