CN114996373B

CN114996373B - Public transportation big data system and method based on geographic information system and storage medium

Info

Publication number: CN114996373B
Application number: CN202210345695.1A
Authority: CN
Inventors: 饶明华; 周诗墨; 陈建平; 钟俊; 邓峰; 李慧珠; 袁伯龙
Original assignee: Chongqing Fengzhu Technology Co ltd
Current assignee: Chongqing Fengzhu Technology Co ltd
Priority date: 2022-03-31
Filing date: 2022-03-31
Publication date: 2023-08-08
Anticipated expiration: 2042-03-31
Also published as: CN114996373A

Abstract

The invention relates to the technical field of public transportation, in particular to a public transportation big data system, a public transportation big data method and a public transportation big data storage medium based on a geographic information system, wherein the public transportation big data system comprises the following components: the data acquisition module is used for acquiring bus basic data of different data sources and carrying out standardized processing on the bus basic data; the data aggregation module is used for superposing and marking bus basic data on the map basic geographic information to form a bus professional map; the main database is used for storing bus basic data, map basic geographic information and a bus professional map; and the function application module is used for analyzing big data according to the basic bus data, setting a corresponding bus professional map according to an analysis result and applying the map. The scheme realizes the one-dimensional to multidimensional conversion of the data, is more beneficial to the collection, management, analysis and the like of the data, can form a professional map of the bus, and realizes the unified management and application of the data.

Description

Public transportation big data system and method based on geographic information system and storage medium

Technical Field

The invention relates to the technical field of public transportation, in particular to a public transportation big data system and method based on a geographic information system and a storage medium.

Background

The urban public transportation system is an organic ensemble composed of various urban public transportation modes, and is called public transportation system for short. Public systems can be divided into two subsystems, one is public transportation means and facilities, and the other is public transportation planning and operation management.

The public transportation system provides convenience for people's trip, and it is the road transportation trade, and the core is the service that provides spatial displacement, and the trade on the geographical information system is closely related even the map, but current public transportation system still has a lot of problems, for example: the vehicles of different companies are on the same road, the speed limiting standards are not uniform, and the running of the vehicles is influenced; the site arrangement of the lines is not uniform, so that the site is inconvenient to find; the existing map does not intuitively show the distribution of bus routes, so that passengers cannot know the driving routes of buses in a valued manner, and more targeted selection is performed.

The main reasons for these problems are that the various data of the public transportation system are not centralized, asynchronous and different sources; however, the existing data has the problems of incomplete and inaccurate data even if the data is acquired because of multiple data outlets, non-uniform caliber and preferential acquisition paths, and further, the deviation between the follow-up analysis result and the actual result is caused, so that the flow for managing according to the data is scattered, the working specification is non-uniform, and a professional bus map which can be updated dynamically cannot be formed.

Disclosure of Invention

The invention aims to provide a bus big data system based on a geographic information system, which can form a professional map of a professional bus and realize unified management and application of data.

The basic scheme provided by the invention is as follows: public transportation big data system based on geographic information system includes:

the data acquisition module is used for acquiring bus basic data of different data sources and carrying out standardized processing on the bus basic data;

the data aggregation module is used for superposing and marking bus basic data on the map basic geographic information to form a bus professional map;

the main database is used for storing bus basic data, map basic geographic information and a bus professional map;

and the function application module is used for analyzing big data according to the basic bus data, setting a corresponding bus professional map according to an analysis result and applying the map.

The first basic scheme has the beneficial effects that: the data acquisition module acquires bus basic data of different data sources, performs standardized processing on the bus basic data, stores the bus basic data in main data so as to facilitate other modules or system calls, and the standardized processed data are uniform in format, so that users can obtain data of the same standard to the greatest extent, the problems of incomplete and inaccurate data are solved, and the deviation between a subsequent analysis result and the actual situation does not exist;

The data aggregation module superimposes and marks bus basic data on the map basic geographic information so as to form a bus professional map, realize that various data are displayed in one map, facilitate the application during scheduling and ensure that the working specification is uniform;

the functional application module analyzes big data according to basic bus data, sets a corresponding bus professional map according to analysis results, and applies the map, so that the application of the data from different sources is realized.

The scheme realizes the one-dimensional to multidimensional conversion of the data, is more beneficial to the collection, management, analysis and the like of the data, can form a professional map of the bus, and realizes the unified management and application of the data.

Further, the data acquisition module acquires bus basic data including: collecting bus basic data on site, manually counting the bus basic data and retrieving one or more of the bus basic data available in ERP;

the bus basic data comprises: infrastructure data, operational data, security data, crew data, and service data; wherein the infrastructure data comprises: station data, charging pile data and repair shop data;

operation data, comprising: line data, passenger flow data, and shift data;

Secure data, comprising: accident data and speed limit data;

the utility data, comprising: vehicle data and maintenance vehicle data;

service data comprising: complaint data.

The beneficial effects are that: the various data acquisition modes meet different acquisition requirements; the bus basic data comprises infrastructure data, operation data, safety data, machine service data and service data so as to meet the data requirements of different applications.

Further, the data aggregation module is used for calling the basic geographic information of the map and basic bus data in the main database;

on the basis of map data, sequentially adding layers of infrastructure data, operation data, safety data, service data and service data to form a bus professional map.

The beneficial effects are that: and the multi-layer superposition realizes the one-dimensional to multi-dimensional conversion of data.

Further, the function application module includes:

the operation sub-module is used for carrying out big data analysis according to the passenger flow data to obtain real-time passenger flow data and current month and day uniform passenger flow data of each site;

the method comprises the steps of superposing and marking station data, line data, real-time passenger flow data, daily average passenger flow data of the month and shift data on map basic geographic information to form an operation bus professional map;

Acquiring a station selection signal, and displaying station data, line data, real-time passenger flow data, daily average passenger flow data of the month and shift data of the selected station on a professional map of an operation bus according to the station selection signal;

the service sub-module is used for carrying out big data analysis according to complaint data in a preset time period and obtaining complaint quantity data and complaint reason data of each site;

the method comprises the steps of superposing and marking station data, line data, complaint quantity data and complaint reason data on map basic geographic information to form a service bus professional map;

acquiring a station selection signal, and displaying station data, line data, a preset time period, complaint quantity data and complaint reason data of the selected station on a service bus professional map according to the station selection signal;

the safety sub-module is used for carrying out big data analysis according to accident data in a preset time period to obtain road safety accident data, personal injury accident data and other accident data of each site;

the method comprises the steps of superposing and marking station data, line data, road safety accident data, personal injury accident data and other accident data on the map basic geographic information to form a safe bus professional map;

Acquiring a station selection signal, and displaying station data, line data, operation data, preset time period, road safety accident data, personal injury accident data and other accident data of the selected station on a professional map of the safe bus according to the station selection signal;

the engine sub-module is used for carrying out big data analysis according to the basic bus data to obtain the position data, the radiation range data, the radiation bus line data, the bus data, the main vehicle type data and the basic condition information of engine points; the machine service points are a station yard, a charging pile and a maintenance factory;

the method comprises the steps of superposing marking position data, radiation range data, radiation bus line data, bus data, main vehicle type data, machine service point basic condition information, vehicle data and maintenance vehicle data on map basic geographic information to form a professional map of the machine service bus;

acquiring a service point selection signal, and displaying position data, radiation range data, radiation bus line data, bus data, main vehicle type data, service point basic condition information, vehicle data and maintenance vehicle data of a selected service point on a professional map of a service bus according to the service point selection signal;

The manpower submodule is used for carrying out big data analysis according to the station data and the line data to obtain staff address statistical data of departure points of all lines, and comprises the following steps: the method comprises the steps of departure line data, employee number data within a departure point preset distance and employee number data outside the departure point preset distance;

superposing and marking station data, line data and employee address statistical data of departure points of each line on the map basic geographic information to form a professional map of the manual bus;

and acquiring a departure point selection signal, and displaying station data, line data and employee address statistical data of the selected departure point on a professional map of the manual bus according to the departure point selection signal.

The beneficial effects are that: different functional modules realize different applications through different bus basic data so as to meet the comprehensive management of buses.

Further, the system further comprises: the route planning module is used for acquiring each driving area of the new route;

inquiring site data in each driving area;

if the station data exist in each driving area, the stations of each driving area are arranged, combined and connected to form a plurality of planned routes, the planned routes are marked on a bus professional map in a display mode different from the existing routes, and the existing route data of each station are marked at the same time;

If the site data does not exist in the traveling area, planning the site area of the traveling area without the site data; the method comprises the steps of arranging, combining and connecting stations of a running area with the existing station data and the planned station area of the running area without the station data to form a plurality of planned routes, marking the planned routes on a bus professional map in a display mode different from the existing routes, and marking the existing route data of each station.

The beneficial effects are that: therefore, the bus route planning system can help to plan bus routes, and greatly reduces the workload of planners.

The second purpose of the invention is to provide a bus big data method based on a geographic information system, which can form a professional map of a professional bus and realize unified management and application of data.

The invention provides a basic scheme II: the public transportation big data method based on the geographic information system comprises the following contents:

and a data acquisition step: collecting bus basic data of different data sources, and carrying out standardized processing on the bus basic data;

data aggregation step: stacking and marking bus basic data on the map basic geographic information to form a bus professional map;

the function application steps are as follows: and analyzing big data according to the basic bus data, setting a corresponding bus professional map according to an analysis result, and applying the map.

The second basic scheme has the beneficial effects that: collecting bus basic data of different data sources, carrying out standardized processing on the bus basic data so as to facilitate the call of other modules or systems, and unifying the standardized processed data in a format, thereby maximally enabling a user to obtain data of the same standard, solving the problems of incomplete and inaccurate data and enabling the follow-up analysis result to have no deviation with the actual result;

the public transport basic data are overlapped and marked on the map basic geographic information, so that a special map of the public transport is formed, various data are displayed on one map, the application during dispatching is facilitated, and the working specification is unified;

and carrying out big data analysis according to the basic bus data, setting a corresponding bus professional map according to an analysis result, and applying the map, thereby realizing the application of the data from different sources in an accurate and standardized mode.

Further, the collecting bus basic data includes: collecting bus basic data on site, manually counting the bus basic data and retrieving one or more of the bus basic data available in ERP;

operation data, comprising: line data, passenger flow data, and shift data;

secure data, comprising: accident data and speed limit data;

the utility data, comprising: vehicle data and maintenance vehicle data;

service data comprising: complaint data.

Further, the function application step includes:

an operation substep: carrying out big data analysis according to the passenger flow data to obtain real-time passenger flow data and daily passenger flow data of each station;

the service substeps: big data analysis is carried out according to complaint data in a preset time period, and complaint quantity data and complaint reason data of each site are obtained;

the safety substep: carrying out big data analysis according to accident data in a preset time period to obtain road safety accident data, personal injury accident data and other accident data of each site;

a machine service substep: carrying out big data analysis according to the basic bus data to obtain position data, radiation range data, radiation bus line data, bus data, main vehicle type data and basic condition information of the service points; the machine service points are a station yard, a charging pile and a maintenance factory;

The manpower substeps: big data analysis is carried out according to the station data and the line data, and staff address statistical data of departure points of each line are obtained, including: the method comprises the steps of departure line data, employee number data within a departure point preset distance and employee number data outside the departure point preset distance;

The beneficial effects are that: different functional steps realize different applications through different public transport basic data so as to meet the comprehensive management of public transport.

Further, the method further comprises: a route planning step, namely acquiring each driving area of a new route;

inquiring site data in each driving area;

The invention further aims to provide a bus big data storage medium based on the geographic information system, which can form a professional map of a professional bus and realize unified management and application of data.

The invention provides a basic scheme III: a bus big data storage medium based on a geographic information system, the storage medium storing a computer program which, when executed by a processor, implements the steps of any of the above bus big data methods based on a geographic information system.

The third basic scheme has the beneficial effects that: the bus big data storage medium based on the geographic information system is stored with a computer program, and the computer program realizes any one of the steps of the bus big data method based on the geographic information system when being executed by a processor, thereby being more beneficial to the one-dimensional to multi-dimensional conversion of data, the acquisition, the management, the analysis and the like of the data, forming a professional bus professional map, realizing the unified management and the application of the data and being convenient for the application of the bus big data method based on the geographic information system.

Drawings

FIG. 1 is a logic block diagram of an embodiment of a bus big data system based on a geographic information system of the present invention;

fig. 2 is a schematic diagram of a professional map of a safe bus in an embodiment of a public transportation big data system based on a geographic information system.

Detailed Description

The following is a further detailed description of the embodiments:

example 1

This embodiment is basically as shown in fig. 1: public transportation big data system based on geographic information system includes:

the data acquisition module is used for acquiring basic bus data; the data acquisition module is used for acquiring bus basic data of different data sources, carrying out standardized processing on the bus basic data, unifying formats of the bus basic data of the different data sources, and transmitting the standardized bus basic data to the main database for storage; in this embodiment, the normalization processing adopts the minimum-maximum normalization, and the original data are all converted into dimensionless index evaluation values, i.e., the index values are all on the same number level, so that comprehensive evaluation analysis can be performed.

The data acquisition module acquires bus basic data comprising: collecting bus basic data on site, manually counting the bus basic data and retrieving one or more of the bus basic data available in ERP;

operation data, comprising: line data, passenger flow data, and shift data;

secure data, comprising: accident data and speed limit data;

the utility data, comprising: vehicle data and maintenance vehicle data;

service data comprising: complaint data.

specifically, the data aggregation module is used for calling map basic geographic information and bus basic data in the main database; wherein the map base geographic information comprises: map data; in this embodiment, the map base geographic information is information in a geographic information system (Geographic Information System or Geo-Information system, GIS). GIS is a special and important space information system, which is a technical system for collecting, storing, managing, calculating, analyzing, displaying and describing the related geographic distribution data in space under the support of computer hardware and software systems, so that the collecting module can directly call the basic geographic information of the map in GIS;

On the basis of map data, superposition marking public transport basic data comprises the following steps: sequentially adding layers of infrastructure data, operation data, safety data, service data and service data on the basis of map data to form a bus professional map; wherein the map data includes: road data and POI data;

the main database is used for storing bus basic data, map basic geographic information and a bus professional map; the main database is provided with a plurality of data interfaces for interfacing with other systems for other systems to call the data in the main database;

the function application module is used for analyzing big data according to the basic bus data, setting a corresponding bus professional map according to an analysis result and applying the map;

specifically, the functional application module includes:

the method comprises the steps of superposing and marking station data, line data, real-time passenger flow data, current month daily average passenger flow data and shift data on map basic geographic information to form an operation bus professional map, and sending the operation bus professional map to a main database for storage;

And acquiring a station selection signal, and displaying station data, line data, real-time passenger flow data, daily average passenger flow data of the current month and shift data of the selected station on a professional map of the operating bus according to the station selection signal.

the method comprises the steps of superposing and marking station data, line data, complaint quantity data and complaint reason data on map basic geographic information to form a service bus professional map, and sending the service bus professional map to a main database for storage;

through the service sub-module, the line customer service parameter information can be clearly displayed, the service blind area is monitored in real time, and the passenger demands are intuitively known.

The method comprises the steps of superposing and marking station data, line data, road safety accident data, personal injury accident data and other accident data on map basic geographic information to form a safe bus professional map, and sending the safe bus professional map to a main database for storage;

according to the data of the road safety accidents, the safety wind control points in the line are obtained and marked on the special map of the safety bus; specifically, sorting the road safety accident data of each station from large to small, selecting the first N stations as safety wind control points, simultaneously taking the selected safety wind control points as the safety wind control points on the line where the stations are located, marking the stations on a special map of the safety bus, and displaying the station data, the line data, the running data, the preset time period, the road safety accident data, the personal injury accident data and other accident data of the stations, as shown in fig. 2;

Through the safety sub-module, the automatic safety wind control point that produces knows regional safety situation directly perceivedly, is convenient for unify, standardize each regional speed limit simultaneously, helps managers to discover the safe blind area.

the method comprises the steps of superposing marked position data, radiation range data, radiation bus line data, bus data, main vehicle type data, machine service point basic condition information, vehicle data and maintenance vehicle data on map basic geographic information to form a professional map of the machine service bus, and uploading the professional map to a main database for storage;

acquiring a service point selection signal, and displaying position data, radiation range data, radiation bus line data, bus data, main vehicle type data, service point basic condition information, vehicle data and maintenance vehicle data of a selected service point on a professional map of a service bus according to the service point selection signal; the method comprises the steps of carrying out a first treatment on the surface of the

The service sub-module can clearly acquire basic information, service lines and vehicle conditions of the service points, and timely know blind spot areas covered by the service points, so that the possibility of hanging map fight is realized.

the station data, the line data and the employee address statistical data of departure points of each line are overlapped and marked on the map basic geographic information to form a professional map of the manual bus, and the professional map is sent to a main database for storage;

acquiring a departure point selection signal, and displaying station data, line data and employee address statistical data of the selected departure point on a professional map of the manual bus according to the departure point selection signal;

the manpower submodule clearly acquires basic information of staff so as to grasp the address and line conditions of the staff and reasonably distribute the working lines of the staff.

Example two

This embodiment is substantially the same as the above embodiment except that: the system also comprises a route planning module, a route planning module and a route planning module, wherein the route planning module is used for acquiring each driving area of the new route; wherein the driving area includes: a departure point area, a destination area and a route area;

inquiring site data in each driving area;

if the site data does not exist in the traveling area, planning the site area of the traveling area without the site data; specifically, if the driving area where the station data does not exist is a departure point area, acquiring an overlapping area of the departure point area and the radiation range data, and selecting a highway area with the nearest average distance of staff in a preset distance of the departure point area in the overlapping area as a planned station area according to staff address statistical data in the preset distance of the departure point area, wherein the highway area can be a specific highway point; if the running area without the station data is not a departure point area, acquiring an overlapping area of the running area and the service point radiation range data, and taking a highway area in the overlapping area as a planned station area;

The method comprises the steps of arranging, combining and connecting stations of a running area with the existing station data and the planned station area of the running area without the station data to form a plurality of planned routes, marking the planned routes on a bus professional map in a display mode different from the existing routes, and marking the existing route data of each station.

Therefore, the bus route planning system can help to plan the bus route, greatly reduces the workload of planners, only needs to input each driving area into a route planning module, the route planning module outputs all routes which can be planned and the optimal planning route for the driving area, and the planners can select which route to actually develop according to the site saturation condition of the planning route.

Each bus running can shoot the video of the road through the vehicle-mounted camera and upload the video to the system, so that a more real-time urban panoramic map is developed.

The function application module further comprises: and the analysis sub-module is used for analyzing regions, time periods, passenger flows, POI data and the like in the bus professional map and analyzing the interest rule of the consumer group, so that the development of other industries is promoted.

Example III

This embodiment is substantially the same as the above embodiment except that: the data acquisition module is also used for acquiring user portrait data; the data acquisition module can acquire user image data by accessing a plurality of existing riding software, users of the system and cameras arranged on vehicles and used for shooting conditions in the vehicles;

The system further comprises: a user image analysis module and an advertisement matching module;

the user portrait analysis module is used for carrying out user portrait analysis according to the passenger flow data and the user portrait data in a preset time period;

the advertisement matching module is used for matching corresponding advertisements according to the user portrait analysis result, the line data of the current running vehicle, the position data of the current running vehicle and the personnel data in the vehicle, setting corresponding playing frequency and times and playing in the current running vehicle.

In this embodiment, the user portrait data includes: user gender, age, and occupation type; as preset time period morning 7:00-9:00, the user portrait analysis module carries out user portrait analysis according to the passenger flow data and the user portrait data in the time period, so as to obtain that the passenger flow in the time period is large, and the user is mainly female white collar; the advertisement matching module may match corresponding advertisements according to the user portrait analysis result, the line data of the current running vehicle, the position data of the current running vehicle, and the personnel data in the vehicle, for example: in the driving process, advertisements of objects with high female white collar requirements, such as cosmetic shops, public and auxiliary institutions, and the like, which exist near the next site, are played, and according to the personnel data in the vehicle, the playing frequency is high when the number of personnel is large, the playing frequency is low when the number of personnel is small, and the playing times of different advertisements are as follows: the advertisement played comprises male articles and female articles, and when the number of female men in the personnel data in the vehicle is small, the number of times of playing the advertisement of the male articles is small, and the number of times of playing the advertisement of the female articles is large. Therefore, the advertisement playing in the vehicle has better pertinence, so that the played advertisement can generate better propaganda effect, and the user in the vehicle can acquire the advertisement information related to the own demand, thereby increasing the success probability of advertisement propaganda.

The system further comprises: the system comprises a panoramic map construction module, a deduplication optimization module, a privacy processing module, a splicing framework module and a transition construction module;

the panoramic map construction module is used for acquiring image data of each vehicle; in this embodiment, each running vehicle is provided with a vehicle-mounted camera for capturing vehicle influence data, i.e. capturing a video of a road;

the weight-removing optimization module is used for optimizing images contained in the vehicle image data of the same place acquired by multiple vehicle times and multiple vehicles; in the embodiment, the same image is analyzed through an evaluation algorithm, the time, the visual field range, the number of people in the image, the number of vehicles, landmark buildings and the like of the image are included, an optimal image is selected, namely, the time is latest, the visual field range is the widest, landmark buildings are included, and the number of people and the number of vehicles are set to be the largest or the smallest according to requirements;

the privacy processing module is used for carrying out privacy processing; in the embodiment, mosaic processing is carried out on the face and the license plate of the vehicle contained in the image;

the splicing framework module is used for constructing a panoramic map according to the optimal image; and further, the real-time panoramic map updating is realized through a public transportation system covering the city.

The transition construction module is used for constructing the environment transition of the person in the panoramic image when the person moves according to the vehicle image data, and solves the problem caused by the transition in the conventional mode of photo deformation.

The system further comprises: the road analysis module and the road maintenance management module are used for analyzing the road;

the road analysis module is used for analyzing road damage according to the vehicle image data and obtaining road damage data; specifically, the road analysis module includes: the system comprises a point position detection sub-module, a vibration detection and identification module and a road analysis sub-module;

the point detection sub-module is used for carrying out point detection based on the image contained in the vehicle image data;

the vibration detection and identification module is used for detecting image vibration based on vehicle image data and images contained in the vehicle image data and detecting vehicle vibration data;

the road analysis sub-module is used for judging the road damage position based on the vehicle image data and the image contained in the vehicle image data according to the point position detection result, the image vibration data and the vehicle vibration data detection result and recording the road damage data, wherein the road damage data comprises: road damage location, vehicle image data for the location, and panoramic map; specifically, when the image vibration data and the vehicle vibration data are detected to be higher than the preset image vibration data and the preset vehicle vibration data, judging that the road at the corresponding point position is damaged;

The road maintenance management module is used for generating a road maintenance order according to the road damage data; specifically, generating a road maintenance order comprising a road damage position, vehicle image data of the position and a panoramic map, and pushing the road maintenance order to a road maintenance function department; therefore, the road damage condition can be automatically detected, timely found and timely maintained, and damage diffusion or accidents are prevented.

Example IV

The embodiment provides a public transportation big data method based on a geographic information system, which comprises the following contents:

and a data acquisition step: collecting bus basic data of different data sources, and carrying out standardized processing on the bus basic data; wherein collecting bus basic data comprises: collecting bus basic data on site, manually counting the bus basic data and retrieving one or more of the bus basic data available in ERP; the bus basic data comprises: infrastructure data, operational data, security data, crew data, and service data; wherein the infrastructure data comprises: station data, charging pile data and repair shop data; operation data, comprising: line data, passenger flow data, and shift data; secure data, comprising: accident data and speed limit data; the utility data, comprising: vehicle data and maintenance vehicle data; service data comprising: complaint data.

Data aggregation step: stacking and marking bus basic data on the map basic geographic information to form a bus professional map; specifically, on the basis of map data, stacking and labeling public transportation basic data comprises the following steps: sequentially adding layers of infrastructure data, operation data, safety data, service data and service data on the basis of map data to form a bus professional map; wherein the map data includes: road data and POI data;

Specifically, the function application step includes:

The method can be implemented through the system in the first embodiment, can realize one-dimensional to multidimensional conversion of data, is more beneficial to data acquisition, management, analysis and the like, can form a professional bus professional map, and realizes unified management and application of data.

The embodiment also provides a public transportation big data storage medium based on the geographic information system, wherein the storage medium is stored with a computer program, and the computer program realizes the steps of any public transportation big data method based on the geographic information system when being executed by a processor.

The bus big data method based on the geographic information system can be stored in a storage medium if the bus big data method is realized in the form of a software functional unit and sold or used as an independent product. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of the method embodiment. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.

Example five

This embodiment is substantially the same as the fourth embodiment except that: further comprises: a route planning step, namely acquiring each driving area of a new route; wherein the driving area includes: a departure point area, a destination area and a route area;

inquiring site data in each driving area;

Therefore, the bus route planning system can help to plan the bus route, greatly reduces the workload of planners, can acquire all routes which can be planned and the optimal planned route only by inputting each driving area into a route planning module, and can select which route to actually develop according to the site saturation condition of the planned route.

The function application step further comprises: and an analysis sub-step, namely analyzing region, time period, passenger flow, POI data and the like in the bus professional map, and analyzing the interest rule of the consumer group, so as to promote the development of other industries.

Example six

This embodiment is substantially the same as the above embodiment except that:

the data acquisition step further comprises the step of acquiring user portrait data; the method comprises the steps that a user of a system constructed by the method and a camera arranged on a vehicle and used for shooting conditions in the vehicle are connected with existing riding software, so that user image data are collected;

The method further comprises the steps of: a user image analysis step and an advertisement matching step;

the user portrait analysis step: carrying out user portrait analysis according to the passenger flow data and the user portrait data in a preset time period;

the advertisement matching step: and matching corresponding advertisements according to the user portrait analysis result, the line data of the current running vehicle, the position data of the current running vehicle and the personnel data in the vehicle, setting corresponding playing frequency and times, and playing in the current running vehicle.

In this embodiment, the user portrait data includes: user gender, age, and occupation type; as preset time period morning 7:00-9:00, the user portrait analysis module carries out user portrait analysis according to the passenger flow data and the user portrait data in the time period, so as to obtain that the passenger flow in the time period is large, and the user is mainly female white collar; corresponding advertisements may be matched based on the user profile analysis, the route data of the current traveling vehicle, the position data of the current traveling vehicle, and the in-vehicle personnel data, such as: in the driving process, advertisements of objects with high female white collar requirements, such as cosmetic shops, public and auxiliary institutions, and the like, which exist near the next site, are played, and according to the personnel data in the vehicle, the playing frequency is high when the number of personnel is large, the playing frequency is low when the number of personnel is small, and the playing times of different advertisements are as follows: the advertisement played comprises male articles and female articles, and when the number of female men in the personnel data in the vehicle is small, the number of times of playing the advertisement of the male articles is small, and the number of times of playing the advertisement of the female articles is large. Therefore, the advertisement playing in the vehicle has better pertinence, so that the played advertisement can generate better propaganda effect, and the user in the vehicle can acquire the advertisement information related to the own demand, thereby increasing the success probability of advertisement propaganda.

The method further comprises the steps of: a panoramic map construction step, a deduplication optimization step, a privacy processing step, a splicing framework step and a transition construction step;

panoramic map construction: acquiring image data of each vehicle; in this embodiment, each running vehicle is provided with a vehicle-mounted camera for capturing vehicle influence data, i.e. capturing a video of a road;

the weight removal optimization step comprises the following steps: the method comprises the steps of selecting and optimizing images contained in vehicle image data of the same place acquired by multiple vehicles and multiple vehicles; in the embodiment, the same image is analyzed through an evaluation algorithm, the time, the visual field range, the number of people in the image, the number of vehicles, landmark buildings and the like of the image are included, an optimal image is selected, namely, the time is latest, the visual field range is the widest, landmark buildings are included, and the number of people and the number of vehicles are set to be the largest or the smallest according to requirements;

privacy processing step: privacy processing is carried out on the image; in the embodiment, mosaic processing is carried out on the face and the license plate of the vehicle contained in the image;

splicing the framework: constructing a panoramic map according to the optimal image; and further, the real-time panoramic map updating is realized through a public transportation system covering the city.

The transition construction step comprises the following steps: according to the vehicle image data, the environment transition when the personnel in the panoramic image move is constructed, and the problem caused by the transition in the conventional mode of photo deformation is solved.

The method further comprises the steps of: a road analysis step and a road maintenance management step;

and (3) road analysis: analyzing road damage according to the vehicle image data to obtain road damage data; in particular, the method comprises the steps of,

performing point location detection based on an image contained in the vehicle image data;

detecting image vibration based on the vehicle image data and the image contained in the vehicle image data, and detecting vehicle vibration data;

based on the vehicle image data and the image contained therein, judging the road damage position according to the point position detection result, the image vibration data and the vehicle vibration data detection result, and recording the road damage data, wherein the road damage data comprises: road damage location, vehicle image data for the location, and panoramic map; specifically, when the image vibration data and the vehicle vibration data are detected to be higher than the preset image vibration data and the preset vehicle vibration data, judging that the road at the corresponding point position is damaged;

and (3) road maintenance management: generating a road maintenance order according to the road damage data; specifically, generating a road maintenance order comprising a road damage position, vehicle image data of the position and a panoramic map, and pushing the road maintenance order to a road maintenance function department; therefore, the road damage condition can be automatically detected, timely found and timely maintained, and damage diffusion or accidents are prevented.

The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.

Claims

1. The public transit big data system based on geographic information system, its characterized in that: comprising the following steps:

The data acquisition module is used for acquiring bus basic data of different data sources and carrying out standardized processing on the bus basic data; wherein the public transport basic data includes: infrastructure data; wherein the infrastructure data comprises: site data;

the function application module is used for analyzing big data according to the basic bus data, setting a corresponding bus professional map according to an analysis result and applying the map; wherein the function application module comprises: the manpower submodule is used for acquiring employee address statistical data of departure points of all lines;

the route planning module is used for acquiring each driving area of the new route; wherein the driving area includes: a departure point area, a destination area and a route area;

inquiring site data in each driving area;

If the site data does not exist in the traveling area, planning the site area of the traveling area without the site data: if the driving area without the station data is a departure point area, acquiring an overlapping area of the departure point area and the radiation range data, and selecting a highway area with the nearest average distance of staff in a preset distance of the departure point area in the overlapping area as a planned station area according to staff address statistical data in the preset distance of the departure point area, wherein the highway area can be a specific highway point; if the running area without the station data is not a departure point area, acquiring an overlapping area of the running area and the service point radiation range data, and taking a highway area in the overlapping area as a planned station area;

the method comprises the steps that stations of a running area with station data and station areas planned by the running area without the station data are arranged, combined and connected to form a plurality of planned routes, the planned routes are marked on a bus professional map in a display mode different from the existing routes, and meanwhile the existing route data of each station are marked;

each bus running can shoot the video of the road through the vehicle-mounted camera and upload the video to the system, so that a panoramic map is developed; shooting videos of roads as vehicle influence data;

Further comprises: the road analysis module and the road maintenance management module are used for analyzing the road;

the road analysis module is used for analyzing road damage according to the vehicle image data and obtaining road damage data;

the road analysis module comprises: the system comprises a point position detection sub-module, a vibration detection and identification module and a road analysis sub-module;

the road analysis sub-module is used for judging the road damage position based on the vehicle image data and the image contained in the vehicle image data according to the point position detection result, the image vibration data and the vehicle vibration data detection result and recording the road damage data, wherein the road damage data comprises: road damage location, vehicle image data for the location, and panoramic map;

the road maintenance management module is used for generating a road maintenance order according to the road damage data;

the data acquisition module is also used for acquiring user portrait data;

further comprises: a user image analysis module and an advertisement matching module;

2. The geographic information system-based public transportation big data system according to claim 1, wherein: the data acquisition module acquires bus basic data and comprises the following steps: collecting bus basic data on site, manually counting the bus basic data and retrieving one or more of the bus basic data available in ERP;

the bus basic data comprises: infrastructure data, operational data, security data, crew data, and service data; wherein the infrastructure data further comprises: station yard data, charging pile data and repair shop data;

operation data, comprising: line data, passenger flow data, and shift data;

secure data, comprising: accident data and speed limit data;

the utility data, comprising: vehicle data and maintenance vehicle data;

Service data comprising: complaint data.

3. The geographic information system-based public transportation big data system according to claim 1, wherein: the data aggregation module is used for calling map basic geographic information and bus basic data in the main database;

4. The geographic information system-based public transportation big data system according to claim 2, wherein: the function application module comprises:

5. The public transportation big data method based on the geographic information system is characterized in that: the method comprises the following steps:

and a data acquisition step: collecting bus basic data of different data sources, and carrying out standardized processing on the bus basic data; wherein the public transport basic data includes: infrastructure data; wherein the infrastructure data comprises: site data;

the function application steps are as follows: according to the basic bus data, analyzing big data, setting a corresponding bus professional map according to an analysis result, and applying the map; wherein the function application module comprises: a manpower substep, namely acquiring employee address statistical data of departure points of all lines;

A route planning step, namely acquiring each driving area of a new route; wherein the driving area includes: a departure point area, a destination area and a route area;

inquiring site data in each driving area;

further comprises: a road analysis step and a road maintenance management step;

and (3) road analysis: analyzing the road damage according to the vehicle image data to obtain road damage data, including:

based on the vehicle image data and the image contained therein, judging the road damage position according to the point position detection result, the image vibration data and the vehicle vibration data detection result, and recording the road damage data, wherein the road damage data comprises: road damage location, vehicle image data for the location, and panoramic map;

And (3) road maintenance management: generating a road maintenance order according to the road damage data;

the data acquisition step further comprises the step of acquiring user portrait data;

further comprises: a user image analysis step and an advertisement matching step;

6. The bus big data method based on the geographic information system as set forth in claim 5, wherein: the collecting bus basic data comprises the following steps: collecting bus basic data on site, manually counting the bus basic data and retrieving one or more of the bus basic data available in ERP;

Operation data, comprising: line data, passenger flow data, and shift data;

secure data, comprising: accident data and speed limit data;

the utility data, comprising: vehicle data and maintenance vehicle data;

service data comprising: complaint data.

7. The bus big data method based on the geographic information system as set forth in claim 6, wherein: the function application step includes:

8. Public transit big data storage medium based on geographic information system, the storage medium has stored computer program on, its characterized in that: the computer program when executed by a processor implements the steps of the bus big data method based on a geographical information system as defined in any one of claims 5-7.