CN115687297A - Big data acquisition system of wisdom city - Google Patents

Abstract

The invention discloses a smart city big data collection system, comprising a data information collection module, a smart city cloud server and a mobile intelligent terminal, the data information collection module is used to collect data information, and the smart city cloud server is used to process data information, the mobile smart terminal is installed with a client connected to the smart city cloud server, the smart city cloud server is connected to the data information collection module network, the mobile smart terminal is connected to the smart city cloud server network, and the mobile The smart terminal includes a smart city bus service client, the smart city bus service client is used to realize the smart service of a specific bus, and the data information collection module includes a video collection module, an infrared sensing module, a position information collection module, and a vehicle speed data collection module. The module and the external information acquisition module of the present invention have the characteristics of improving the effective utilization rate of data and the operation efficiency of public transportation.

Description

A smart city big data collection system

technical field

The invention relates to the technical field of smart city data collection, in particular to a smart city big data collection system.

Background technique

A smart city is a smart city that effectively integrates and utilizes city resources to further improve the city's production efficiency and service capabilities. Base. At present, the construction of smart cities has become the focus of research in all countries in the world. As the core travel tool of the city, its development is also the focus of smart city construction. At present, the stop organization form of urban bus stops at booths in my country is mainly multi-line free stops. This will inevitably bring difficulties to passengers, and the platform environment is relatively chaotic, which not only seriously affects the operation efficiency of bus lines, but also brings poor riding experience to passengers; at the same time, there will also be illegal parking of social vehicles, Problems such as conflicts between passengers getting on and off the bus not only have a serious impact on urban public transport, endangering the personal safety of passengers, but also more likely to cause traffic congestion and reduce urban traffic efficiency. Therefore, it is necessary to design a smart city big data acquisition system that improves the effective utilization of data and the efficiency of bus operation.

Contents of the invention

The purpose of the present invention is to provide a smart city big data collection system to solve the problems raised in the above-mentioned background technology.

In order to solve the above technical problems, the present invention provides the following technical solutions: a smart city big data collection system, including a data information collection module, a smart city cloud server and a mobile smart terminal, the data information collection module is used to collect data information, the The smart city cloud server is used to process data information, a client connected to the smart city cloud server is installed in the mobile smart terminal, the smart city cloud server is connected to the data information collection module network, and the mobile smart terminal is connected to the smart city cloud server. City cloud server network connection;

The mobile smart terminal includes a smart city bus service client, and the smart city bus service client is used to realize the smart service of a specific bus.

According to the above technical solution, the data information acquisition module includes a video acquisition module, an infrared sensing module, a position information acquisition module, a vehicle speed data acquisition module and an external information acquisition module, the video acquisition module is used to acquire environmental video information, and the infrared The sensing module is used to identify the number of people through infrared induction, the location information collection module is used to collect bus location information, the vehicle speed data collection module is used to collect vehicle speed data, and the external information acquisition module is used to obtain external information.

According to the above technical solution, the smart city cloud server includes a data transmission module, a data storage module and a data analysis module, the data transmission module is used to transmit data, the data storage module is used to store data, and the data analysis module uses For data analysis, the data storage module is connected to the data transmission module, and the data analysis module is connected to the data storage module.

According to the above technical solution, the smart city bus service client includes a road condition reminder module, an intelligent guidance module and a traffic control auxiliary module, the road condition reminder module is used to realize intelligent reminders according to real-time road conditions, and the intelligent guidance module is used for The bus and passengers are intelligently guided, and the traffic management auxiliary module is used for intelligently assisting relevant illegal and irregular behaviors, and the smart city bus service client is connected to the data analysis module network.

According to the above technical scheme, the operating method of the smart city big data acquisition system mainly includes the following steps:

Step S1: Establish a smart city bus information database to collect and acquire bus stops, platform information and external information respectively;

Step S2: The smart city cloud server receives and collects the bus operation stops, platform information and external information through the data transmission module, and stores them in the smart city bus information database;

Step S3: The data analysis module conducts real-time analysis of bus stops, platform information and external information stored in the database;

Step S4: The client terminal of the mobile smart terminal is connected to the smart city cloud server through the wireless network to share the data analyzed by the data analysis module in real time, and further management and control is performed through the smart city bus service client terminal.

According to the above technical scheme, the information collection in the step S1 is specifically: the video collection device collects video information through cameras distributed at various bus stops in the city and the internal positions of the bus; Real-time acquisition through the bus's own positioning device; real-time acquisition of vehicle speed data through the bus's own vehicle speed sensor; all collected information is transmitted to the smart city cloud server in real time;

The acquisition of external information is specifically: connecting other transportation systems of the smart city through big data to obtain relevant external information, and transmitting and storing it in the database.

According to the above technical solution, the step S3 further includes the following steps:

Step S31: Obtain relevant data of the vehicle, and determine the parking time of the vehicle;

Step S32: Arrange the arriving vehicles according to the estimated arrival time from shortest to longest, and calculate the arrival time interval between adjacent vehicles and compare it with the parking time of the preceding vehicle;

Step S33: When the arrival time interval is less than the stopping time of the preceding vehicle, the system considers factors such as the arrival distance of the two vehicles and the stopping time of the following vehicle to determine whether the following vehicle is qualified for overtaking.

According to the above-mentioned technical scheme, in the step S4, the road condition reminder of the smart city bus service client according to the data analysis result is specifically:

Obtain road congestion information in real time and monitor vehicle speed;

Traffic control assistance specifically includes: Obtain video surveillance inside the platform and inside the bus, monitor passengers’ perception and behavior, and when passengers are found to have uncivilized behavior, stop and guide through voice broadcasts. If passengers have disruptive behavior and the persuasion is invalid, Mark and upload to the smart city bus service client, and give feedback to the traffic control department for further coordination;

Obtain monitoring camera images around the platform, combined with the arrival and parking of bus vehicles, determine whether nearby vehicles will affect passengers getting on and off the bus; dissuade illegally parked vehicles from driving them, and transmit them to smart city bus service customers through image capture end, and further feedback processing to the traffic control department.

According to the above technical solution, the intelligent guidance of the smart city bus service client according to the data analysis results in step S4 is specifically: when the system arrives near the bus stop, the user can choose whether to authorize the system to perform intelligent guidance based on their personal basic information. lead.

Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention collects and obtains bus operation stops, platform information and external information by setting a data information collection module, a smart city cloud server and a mobile intelligent terminal , stored in the smart city bus information database, analyzed by the data analysis module, and further managed and controlled through the smart city bus service client; through data analysis, more accurate vehicle stop time can be estimated, and adjacent vehicles can be calculated The arrival time interval between the stations is compared with the stop time of the vehicle in front to reduce the travel time; to avoid confusion and congestion in the station booth area; at the same time, through the video surveillance in each area, the illegal behavior of the vehicle passengers is corrected or recorded to improve Improve the passenger's riding efficiency, reduce the occurrence of uncivilized behavior of passengers in the platform area, further maintain the environment of the bus platform, reduce the impact of illegal parking of motor vehicles on the normal operation of the platform bus and the frequency of such incidents, and further guarantee Reasonable compliance in the platform area; for users who authorize intelligent guidance, the system can obtain personal information based on the user's mobile phone, and profile the user according to the passenger's travel characteristics and behavior characteristics, so as to determine the different needs of the user and be targeted intelligent guidance.

Description of drawings

The accompanying drawings are used to provide a further understanding of the present invention, and constitute a part of the description, and are used together with the embodiments of the present invention to explain the present invention, and do not constitute a limitation to the present invention. In the attached picture:

Fig. 1 is a schematic diagram of the composition of the system modules of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Please refer to Fig. 1, the present invention provides a technical solution: a smart city big data acquisition system, including a data information acquisition module, a smart city cloud server and a mobile intelligent terminal, the data information acquisition module is used to collect data information, and the smart city cloud server uses For processing data information, a client connected to the smart city cloud server is installed in the mobile smart terminal, the smart city cloud server is connected to the data information collection module network, and the mobile smart terminal is connected to the smart city cloud server network. module, smart city cloud server and mobile smart terminal, respectively collect and obtain bus operation and stop information, platform information and external information, store them in the smart city bus information database, analyze them by the data analysis module, and serve customers through smart city bus For further management and control at the terminal; through data analysis to estimate a more accurate vehicle stop time, and calculate the arrival time interval between adjacent vehicles and compare it with the stop time of the preceding vehicle to reduce travel time; avoid parking at the station kiosk The area causes chaos and congestion; at the same time, through the video surveillance of each area, the illegal behavior of vehicle passengers is corrected or recorded, which improves the passenger's riding efficiency, and at the same time reduces the occurrence of uncivilized behavior of passengers in the platform area, and further maintains The environment of the bus platform reduces the impact of illegal parking of motor vehicles on the normal operation of the platform bus and the frequency of such incidents, and further ensures the reasonable compliance of the platform area; for users who authorize intelligent guidance, the system can obtain personal information based on the user's mobile phone , according to the passenger's travel characteristics and behavioral characteristics, make a characteristic portrait of the user, so as to determine the different needs of the user and carry out intelligent guidance in a targeted manner;

The mobile intelligent terminal includes the smart city bus service client, which is used to realize the intelligent service of the specific bus.

The data information acquisition module includes a video acquisition module, an infrared sensing module, a location information acquisition module, a vehicle speed data acquisition module and an external information acquisition module. The information collection module is used to collect bus location information, the vehicle speed data collection module is used to collect vehicle speed data, and the external information acquisition module is used to obtain external information.

The smart city cloud server includes a data transmission module, a data storage module and a data analysis module. The data transmission module is used to transmit data, the data storage module is used to store data, the data analysis module is used to analyze data, and the data storage module is connected to the data transmission module. , the data analysis module is connected to the data storage module through a network.

The smart city bus service client includes a road condition reminder module, an intelligent guidance module and a traffic control auxiliary module. The road condition reminder module is used to realize intelligent reminders based on real-time road conditions. In order to provide intelligent assistance for relevant violations of laws and regulations, the smart city bus service client is connected to the network of the data analysis module.

The operation method of the smart city big data acquisition system mainly includes the following steps:

Step S1: Establish a smart city bus information database to collect and acquire bus stops, platform information and external information respectively;

Step S2: The smart city cloud server receives and collects the bus operation stops, platform information and external information through the data transmission module, and stores them in the smart city bus information database;

Step S3: The data analysis module conducts real-time analysis of bus stops, platform information and external information stored in the database;

Step S4: The client of the mobile smart terminal is connected to the smart city cloud server through the wireless network to share the data analyzed by the data analysis module in real time. The mobile smart terminal is one or more of smart phones, car navigators or driving recorders. Applicable to smart city driving service client, and further management and control through smart city bus service client.

The information collection in step S1 is specifically as follows: the video collection device collects video information through cameras distributed at various bus stops in the city and the internal positions of the bus; real-time statistics of the number of people at the bus stop and inside the bus through infrared sensing devices; the location information is collected in real time through the positioning device of the bus itself ;The vehicle speed data is obtained in real time through the bus's own vehicle speed sensor; all collected information is transmitted to the smart city cloud server in real time;

The acquisition of external information is specifically: connecting other transportation systems of the smart city to obtain relevant external information through big data, and transmitting and storing in the database, including road congestion information, passenger demand information, and specific information of public transport vehicles.

Step S3 further comprises the following steps:

Step S31: Obtain vehicle-related data, determine vehicle parking time, call and integrate past passenger flow, number of people waiting on the platform, and average personal boarding and boarding time data for calculation, estimate the total boarding time of existing passengers, and estimate Multiply the number of people in the car by the average time to get off the bus to get the estimated total time for passengers to get off the bus, and take the larger value as the parking time of the vehicle at the kiosk;

Step S32: Arrange the arriving vehicles according to the estimated arrival time from shortest to longest, and calculate the arrival time interval between adjacent vehicles and compare it with the stopping time of the preceding vehicle. During the stop time, the front and rear vehicles enter the station in normal sequence to get on and off the passengers;

Step S33: When the arrival time interval is less than the parking time of the vehicle in front, the system integrates the arrival distance of the two vehicles, the parking time of the following vehicle and other factors to determine whether the following vehicle has the overtaking condition. Slow down, and the vehicle behind should accelerate appropriately to overtake, so as to reduce the travel time, and make corresponding corrections to the estimated arrival time; if there is no overtaking condition, guide the vehicle in front to accelerate appropriately, and the vehicle behind to slow down appropriately, prolonging the arrival time interval, To avoid confusion and congestion in the station booth area, and make corresponding corrections to the estimated arrival time.

In step S4, the traffic condition reminder of the smart city bus service client according to the data analysis result is specifically:

Real-time acquisition of road congestion information and monitoring of vehicle speed to remind drivers to accelerate and decelerate in advance according to changes in road conditions, so as to reduce traffic accidents and disputes between passengers and drivers due to driving problems;

Traffic control assistance is specifically: Obtaining video surveillance inside the platform and inside the bus, monitoring the perception and behavior of passengers, and according to the estimated arrival time of the vehicle, reminding passengers when the bus is about to arrive at the station, and discovering that passengers are uncivilized Behaviors are stopped and guided through voice broadcasts. If passengers have behaviors that disrupt order and the persuasion is invalid, they will be marked and uploaded to the smart city bus service client, and feedback will be given to the traffic control department for further coordination. Guide the order of passengers, improve the efficiency of passengers on the bus, and at the same time reduce the occurrence of uncivilized behaviors of passengers in the platform area, and further maintain the environment of the bus platform;

Obtain monitoring camera images around the platform, combined with the arrival and parking of buses, determine whether nearby vehicles will affect passengers getting on and off the bus, such as non-motor vehicles may be affected, guide them to stop or detour through the vehicle gateway; for illegal stops The vehicle persuades it to leave, and transmits it to the smart city bus service client through image capture, and further provides feedback to the traffic control department, so as to reduce the impact of illegal parking of motor vehicles on the normal operation of the platform bus and the frequency of such incidents. Further guarantee the reasonable compliance of the platform area.

In step S4, the intelligent guidance of the smart city bus service client based on the data analysis results is as follows: when the system arrives near the bus stop, the user can choose whether to authorize the system to conduct intelligent guidance based on their personal basic information. If the user chooses to authorize, The system can obtain personal related information based on the user's mobile phone, and profile the user according to the passenger's travel characteristics and behavior characteristics, so as to determine the different needs of the user and provide targeted intelligent guidance; Push the exact time when the vehicle arrives at the platform and the destination, so as to reduce the anxiety during the waiting process, and at the same time better plan the next travel time according to the accurate time; for non-fixed route passengers, the bus with the optimal route is given priority Vehicles to reduce the extra time consumed due to different destinations; for first-time travel passengers, while recommending destination routes to them, information such as scenic spots and shopping malls around each platform in the recommended route are available for them to choose.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is a relationship between these entities or operations. There is no such actual relationship or order between them. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device.

Finally, it should be noted that: the above is only a preferred embodiment of the present invention, and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, it still The technical solutions recorded in the foregoing embodiments may be modified, or some technical features thereof may be equivalently replaced. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims (9)

1. The utility model provides a big data acquisition system in smart city, includes data information acquisition module, smart city cloud server and mobile intelligent terminal, its characterized in that: the smart city cloud server is connected with the data information acquisition module through a network, and the mobile intelligent terminal is connected with the smart city cloud server through a network;

the mobile intelligent terminal comprises a smart city bus service client, and the smart city bus service client is used for realizing intelligent service of specific buses.

2. The smart city big data acquisition system according to claim 1, wherein: the data information acquisition module comprises a video acquisition module, an infrared sensing module, a position information acquisition module, a vehicle speed data acquisition module and an external information acquisition module, wherein the video acquisition module is used for acquiring environment video information, the infrared sensing module is used for identifying the number of people through infrared sensing, the position information acquisition module is used for acquiring bus position information, the vehicle speed data acquisition module is used for acquiring vehicle speed data, and the external information acquisition module is used for acquiring external information.

3. The smart city big data collecting system according to claim 2, characterized in that: the smart city cloud server comprises a data transmission module, a data storage module and a data analysis module, wherein the data transmission module is used for transmitting data, the data storage module is used for storing data, the data analysis module is used for analyzing the data, the data storage module is in network connection with the data transmission module, and the data analysis module is in network connection with the data storage module.

4. The smart city big data collection system of claim 3, wherein: the smart city bus service client comprises a road condition reminding module, an intelligent guide module and a traffic management auxiliary module, wherein the road condition reminding module is used for realizing intelligent reminding according to real-time road conditions, the intelligent guide module is used for intelligently guiding buses and passengers, the traffic management auxiliary module is used for intelligently assisting related illegal behaviors, and the smart city bus service client is connected with the data analysis module through a network.

5. The smart city big data acquisition system according to claim 4, wherein: the operation method of the smart city big data acquisition system mainly comprises the following steps:

step S1: establishing a smart city bus information database, and respectively acquiring and obtaining bus running and stopping information, platform information and external information;

step S2: the smart city cloud server receives and acquires bus running stop, platform information and external information through the data transmission module, and stores the bus running stop, the platform information and the external information in a smart city bus information database;

and step S3: the data analysis module analyzes the bus running and stopping, the station information and the external information stored in the database in real time;

and step S4: the client of the mobile intelligent terminal is connected with the smart city cloud server through a wireless network to share the data analyzed by the data analysis module in real time, and further management control is carried out through the smart city bus service client.

6. The smart city big data collection system of claim 5, wherein: the information acquisition in the step S1 specifically includes: the video acquisition device acquires video information through cameras distributed at each bus stop and at the internal positions of buses in a city; the number of people at the bus stop and inside is counted in real time through an infrared sensing device; the position information acquisition is obtained in real time through a bus self-positioning device; the speed data is acquired in real time through a bus speed sensor; all collected information is transmitted to a smart city cloud server in real time;

the external information acquisition specifically comprises: and the big data is connected with other traffic systems of the smart city to obtain relevant external information, and the external information is transmitted and stored in the database.

7. The smart city big data collecting system according to claim 6, characterized in that: the step S3 further comprises the steps of:

step S31: acquiring relevant data of the vehicle and determining the parking time of the vehicle;

step S32: arranging the vehicles which are about to arrive at the station in the order of the estimated arrival time from short to long, and calculating the arrival time interval between adjacent vehicles and comparing the arrival time interval with the parking time of the front vehicle;

step S33: when the arrival time interval is smaller than the stop time of the front vehicle, the system integrates the arrival distance of the two vehicles, the stop time of the rear vehicle and other factors to judge whether the rear vehicle has the overtaking condition.

8. The smart city big data collection system of claim 7, wherein: the road condition reminding of the intelligent city bus service client in the step S4 according to the data analysis result specifically comprises the following steps:

acquiring road congestion information in real time and monitoring the running speed of a vehicle;

the auxiliary pipe crossing is as follows: acquiring video monitoring in a platform and a bus, sensing and behavior monitoring the passengers, stopping and guiding the passengers through voice broadcasting when the passengers are found to have an uncivilized behavior, marking the passengers and uploading the passengers to a smart city bus service client if the passengers have a disorderly behavior and dissuade the passengers from being invalid, feeding the passengers back to a traffic management department, and performing further coordination processing by the passengers;

acquiring monitoring camera images around a platform, and judging whether nearby vehicles influence passengers getting on or off the bus or not by combining the arrival and stop conditions of the bus; vehicles stopping illegally are dissuaded, and the images are shot and transmitted to a smart city bus service client, so that feedback processing is further performed on traffic management departments.

9. The smart city big data collecting system according to claim 8, wherein: the intelligent guidance of the intelligent city bus service client in the step S4 according to the data analysis result specifically comprises the following steps: when the passenger arrives near the bus stop, the system can be selected by the user whether to authorize the system to intelligently guide according to the personal basic information.

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