CN111858797A - Grain sampling management method and system - Google Patents

Abstract

The invention discloses a grain sampling management method and a grain sampling management system, wherein the method comprises the steps that a server generates a sampling operation area through a GIS technology, generates sampling task data based on the sampling operation area, and transmits the sampling task data to a first terminal; the first terminal responds to the sampling task data, sampling verification is carried out on sampling operation, and after the verification is passed, sampling operation data are recorded and uploaded to the server; the server stores, synthesizes and analyzes the sampling operation data and detection data generated by detecting the sampling samples. The invention ensures that the sample task is distributed more reasonably, the sampled sample is more representative, and the sample detection is fair and fair through the separation of the sampling and the detection and the background data synthesis, thereby avoiding possible fraud behaviors.

Description

A kind of grain cutting management method and system

technical field

The invention relates to modern grain equipment and information technology. More specifically, it relates to a grain cutting management method and system.

Background technique

At present, there is a lot of field work in grain scientific research and production practice. Due to the lack of technology and management level, there are the following problems: 1. There is a lack of scientific basis and rationality verification in the selection of the sampling area, resulting in 2. The sampling personnel are not familiar with the geographic location information, so it is difficult to quickly and accurately find the specified sampling location; 3. The sampling personnel may not take the sampling at the designated sampling location as required, and the management personnel cannot It was found that the representativeness of the sampling was insufficient; 4. The sampling personnel and the testing personnel colluded, resulting in fraudulent sampling and testing results; Inspection management platform. Therefore, there is an urgent need for a set of sample management technologies and models based on GIS and cloud platforms to solve the above problems.

SUMMARY OF THE INVENTION

In order to solve at least one of the technical problems raised in the background art, the present invention provides a method and system for managing grains.

A first aspect of the present invention provides a method for managing grains, comprising:

The server generates the sampling operation area through GIS technology, generates the sampling task data based on the sampling operation area, and sends the sampling task data to the first terminal;

The first terminal, in response to the sampling task data, performs sampling verification on the sampling operation, and after the verification is passed, records the sampling operation data and uploads it to the server;

The server stores, synthesizes, and analyzes the sampling operation data and the detection data generated by the detection of the skewer samples.

Optionally, the server generates an operation area by GIS technology and includes:

The server obtains a remote sensing map through GIS technology, plans the location of the production area based on the remote sensing map, draws a map of the production area according to the location of the production area, and divides the map of the production area by X kilometers*X kilometers into grids and Set up the number and determine the work area of the skewer.

Optionally, the skewer verification includes:

Position check and time check for skewer work.

Optionally, the recording sample operation data includes:

Record the start time, end time, location and basic information of the skewer.

Optionally, the basic information of the skewer includes:

The purpose of the cutting, the number of the cutting sample, the type of the cutting sample, the status of the cutting sample, the weight of the cutting sample, the staff of the cutting, the person supplying the sample, the variety of the cutting sample, the time of planting the sample, the time of harvesting the sample, and the use of pesticides and fertilizers.

Optionally, before the first terminal uploads the skewer data to the server, the method further includes:

The first terminal generates and prints a skewer identification code for sticking on the sample obtained by the skewer operation based on the skewer job data.

Optionally, the identification code is a two-dimensional code or a barcode.

Optionally, after the server stores, synthesizes, and analyzes the sampling data and the detection data, the method further includes, displaying the analysis and processing results visually.

Optionally, the displaying the processing result includes:

Based on GIS geographic information, the analysis and processing results are visually displayed at the corresponding positions of the sampling operation area displayed in the remote sensing map.

A second aspect of the present invention provides a grain skewer management system, comprising: a server and a first terminal,

Wherein, the server includes

a skewer task management module, used for generating a skewer work area, creating skewer task data, and sending the skewer task data to the first terminal;

a detection data direct reporting module, used for storing the sampling operation data uploaded by the first terminal and storing the sampling inspection data;

A data processing and display module, used for synthesizing and analyzing the sampling operation data and the sampling inspection data, and displaying the processing results;

The first terminal is used for checking the sampling and recording the sampling operation data, and uploading the sampling operation data to the server.

The beneficial effects of the present invention are as follows:

The technical scheme of the invention establishes a relatively perfect field sampling operation management system, regulates the sampling operation process, and realizes the real-time recording and supervision of the sampling operation; It is more representative. Through the separation of cutting and inspection, the background data synthesis ensures the fairness and impartiality of sample testing, and reduces fraudulent behavior; the system's rich data processing methods make the cutting and inspection results easy to handle and visualized and intuitive. The device of the invention is convenient to carry and use, and the data is backed up in both directions, which improves the operation mode, reduces the field work intensity and improves the work efficiency.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained from these drawings without creative effort.

Fig. 1 shows a block diagram of a grain cutting management system proposed by an embodiment of the present invention.

Fig. 2 shows a flow chart of a method for managing grains according to an embodiment of the present invention.

Detailed ways

In order to make the technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

As shown in FIG. 1 , on the other hand, an embodiment of the present invention provides a grain skewer management system, including:

server and first terminal,

in,

1. The hardware equipment involved in the server is mainly a cloud server (PC computer), and the software part adopts the BS structure, using the advanced cloud technology model, the system is placed on the server of the cloud platform, and the burden of establishing server memory for basic user units is eliminated. , and the analysis and statistics of the result data can be carried out on the basis of national or regional data.

The function of the server is to edit the sampling task and remotely deliver it to the first terminal user, remotely receive the sampling and inspection and testing data through the Internet, process it, and perform statistics and display of the data; the server includes the sampling task management. module, test data direct reporting module and data processing and display module;

a skewer task management module, used for generating a skewer work area, creating skewer task data, and sending the skewer task data to the first terminal;

Specifically, the skewer task management module can realize the following functions:

1) The registration and management of the end user of the skewer is convenient for the management and monitoring of the staff of the skewer;

2) Using GIS technology, the map is divided into grids according to the specifications of X kilometers * X kilometers, and the numbering rules are established to realize the grid definition of cutting tasks;

3) View, create and modify the task list;

4) Issue the remote sampling task.

a detection data direct reporting module, used for storing the sampling operation data uploaded by the first terminal and storing the sampling inspection data;

Specifically, the detection data direct reporting module can realize the following functions:

1) Carry out the registration and user management of the detection service end, which is convenient for the management and monitoring of the detection personnel;

2) Scan and identify the sample QR code and extract data;

3) Input and preliminary processing of sample testing data according to WHO format;

4) Establish a database of test results;

5) The detection data can be uploaded to the data processing system platform.

A data processing and display module, used for synthesizing and analyzing the sampling operation data and the sampling inspection data, and displaying the processing results;

Specifically, the data processing and display module can implement the following functions:

1) Establish a data management cloud platform to realize remote processing and service of basic data such as monitoring stations;

2) Using the two-dimensional code of the skewer as the unique identifier, the background synthesis of the skewer data and the detection data is realized, and the skewer operation data and the detection data are mapped one-to-one;

3) According to the sample detection results based on geographic information, it can be accurately displayed on the map. Display method: according to different indicators, different pollution levels or statistical methods, according to administrative divisions, according to thematic maps;

4) Randomly select a number of sample marker points on the map, which can automatically calculate and display the average value, variance and other related data statistical analysis;

5) The color rendering of the quality status of the administrative area where the sample is selected (such as heavy metals, health indicators, normal green, yellow warning, red pollution, etc.) can be performed as required, and displayed directly on the map;

2. The first terminal is used to check the samples and record the data of the samples, and upload the data of the samples to the server;

Specifically, the first terminal may be a handset;

The hardware equipment involved in the field operation and data acquisition, transmission and temporary storage system of the hand-held sample are: field operation handheld (Android system tablet or mobile phone with camera and Bluetooth function), for example: can be installed Industrial handheld terminals, mobile phones, PADs, etc., which are equipped with the cutting sample management system; two-dimensional code printer; the software system attached to the hardware is the grain cutting sample terminal management system, which realizes the following functions:

1) Realize the connection with the sample task management system;

2) With a mobile GIS system platform, according to the geographic information location specified by the task and the GPS positioning information of the actual location of the handset, automatic verification of the geographical location of the sample can be performed. If the verification is passed, the task can be started, otherwise, continue to search for the task. Specifies that the geographic location is executed until the verification is passed;

3) Enter the basic information of the sample. The information mainly includes the purpose of the sample, the sample number, the sample type, the sample state, the weight of the sample, the sampler, the sample supplier, the sample location, the sample variety, the sowing time, and the harvest time. , the use of pesticides and fertilizers, etc.;

4) Automatically record the time and position information of the sampling process;

5) Systematic record of process-related data such as photos and videos;

6) Selectively generate a two-dimensional code (with digital code) for the recorded data of the sampling process and print it on site;

7) Export and upload the record file of the sampling process.

Various quality data in the system are automatically stored in the database system, and automatically circulated and assigned to realize the whole-process quality traceability, monitoring and early warning of food security. Realize the authenticity of grain samples, the quality traceability of testing process control, monitoring and early warning, and the analysis and display of testing and monitoring results.

As shown in FIG. 2 , on the other hand, an embodiment of the present invention provides a method for managing grains, including:

The server generates the sampling operation area through GIS technology, generates the sampling task data based on the sampling operation area, and sends the sampling task data to the first terminal;

Specifically, the server generates an operation area through GIS technology and includes:

The server obtains a remote sensing map through GIS technology, plans the location of the production area based on the remote sensing map, draws a map of the production area according to the location of the production area, and divides the map of the production area by X kilometers*X kilometers into grids and Set up the serial number and determine the work area of the skewer;

The first terminal, in response to the sampling task data, performs sampling verification on the sampling operation, and after the verification is passed, records the sampling operation data and uploads it to the server;

Specifically, the sample verification includes:

Position verification and time verification of the sampling operation;

The record sampling operation data includes:

Record the start time, end time, location and basic information of the skewer;

The basic information of the skewer includes:

The purpose of the cutting, the number of the cutting sample, the type of the cutting sample, the status of the cutting sample, the weight of the cutting sample, the staff of the cutting, the person supplying the sample, the variety of the cutting sample, the time of planting the sample, the time of harvesting the sample, and the use data of pesticides and fertilizers, etc.;

The server stores, synthesizes, and analyzes the sampling operation data and the detection data generated by the detection of the skewer samples.

Specifically, before the first terminal uploads the skewer data to the server, the method further includes:

The first terminal generates and prints a skewer identification code for sticking on the sample obtained by the skewer operation based on the uniqueness data of the skewer operation sample, wherein the identification code is a two-dimensional code or a barcode.

Specifically, after the server stores, synthesizes, and analyzes the sampling data and the detection data, the method further includes, visually displaying the analysis and processing results;

The displaying of the processing results includes:

Based on GIS geographic information, the analysis and processing results are visually displayed at the corresponding positions of the sampling operation area displayed in the remote sensing map.

Based on the present embodiment, a grain cutting management system is provided, and the overall workflow for carrying out grain cutting is as follows:

According to the remote sensing map, the server can obtain the location of the production area of the species to be harvested, draw a map of the production area according to the location of the production area, divide the map into a grid of X km*X km, and according to the actual needs and the number of villages in the grid Determine the number and location of the cuttings according to the scale of the village, and give the latitude and longitude information of the cuttings;

The sampler accepts the task and goes to the sample location specified in the task according to the map navigation function loaded on the first terminal;

After arriving at the place, check the time and place for the task on the first terminal. If the time and place pass the check, continue to record the sample information. If the check is not passed, find the correct place according to the prompt latitude and longitude information until the geographic location is passed. check;

The sampler starts to sample and fill in the information and other related work, and the handheld terminal records the start time, location information and the filling content;

The handheld terminal generates a QR code of sample information, which is printed and pasted on the surface of the sample bag;

Take pictures of the sample environment and sample bag with the handheld terminal;

Complete the work related to the skewer, record the end time and location information with the handheld terminal, and generate a complete skewer record;

The sample information is uploaded to the cloud server;

The inspector receives the sample, scans the QR code to obtain the sample code information, establishes the information association, conducts the sample inspection and uploads the data to the cloud server;

The cloud server performs data merging and processing to form the display and analysis of the test results based on GIS geographic information.

Obviously, the above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Changes or changes in other different forms cannot be exhausted here, and all obvious changes or changes derived from the technical solutions of the present invention are still within the protection scope of the present invention.

Claims (10)

1. A grain sampling management method is characterized by comprising the following steps:

the method comprises the steps that a server generates a sampling operation area through a GIS technology, generates sampling task data based on the sampling operation area, and issues the sampling task data to a first terminal;

the first terminal responds to the sampling task data, sampling verification is carried out on sampling operation, and after the verification is passed, sampling operation data are recorded and uploaded to the server;

the server stores, synthesizes and analyzes the sampling operation data and detection data generated by detecting the sampling samples.

2. The method of claim 1, wherein the server generating the job region through GIS technology comprises:

the method comprises the steps that a server obtains a remote sensing map through a GIS technology, plans a sampling production area position based on the remote sensing map, draws the production area map according to the production area position, carries out gridding segmentation on the production area map according to X kilometers by X kilometers, establishes numbers, and determines a sampling operation area.

3. The method according to claim 1, wherein the skewer verification comprises:

and checking the position and time of the sampling operation.

4. The method according to claim 1, wherein the recording the skewing job data comprises:

Recording the sampling start time, the sampling end time, the sampling position and the sampling basic information.

5. The method according to claim 4, wherein the skewing base information comprises:

sampling application, sampling sample number, sampling sample type, sampling sample state, sampling weight, sampling personnel, sample supply personnel, sampling sample type, sample sowing time, sample harvesting time and pesticide and fertilizer use data.

6. The method according to claim 1, wherein prior to the first terminal uploading the skewing data to the server further comprises:

the first terminal generates and prints a sampling identification code for attaching to a sample obtained by a sampling operation based on the sampling operation sample data.

7. The method of claim 6, wherein the identification code is a two-dimensional code or a bar code.

8. The method according to claim 2, wherein after the storing, synthesizing and analyzing the sample data and the test data by the server, the method further comprises visually presenting the results of the analyzing.

9. The method of claim 8, wherein the presenting the processing results comprises:

And visually displaying the analysis processing result at the corresponding position of the sampling operation area displayed in the remote sensing map based on GIS geographic information.

10. A grain sampling system for performing the method of managing as claimed in claims 1 to 9, comprising:

a server and a first terminal, wherein the server is connected with the first terminal,

wherein the server comprises

The sampling task management module is used for generating a sampling operation area, creating sampling task data and issuing the sampling task data to a first terminal;

the detection data direct reporting module is used for storing the sampling operation data uploaded by the first terminal and storing sampling inspection data;

the data processing and displaying module is used for synthesizing and analyzing the sampling operation data and the sampling inspection data and displaying a processing result;

the first terminal is used for carrying out sampling verification and recording sampling operation data, and uploading the sampling operation data to the server.

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