Comprehensive situation analysis and display method and system for rail transit emergency command

Abstract

A rail transit emergency command comprehensive situation analysis and display system and method based on GIS, belonging to the field of information processing technology. In the system, the management server is configured to establish a rail transit emergency event association tree model according to the rail transit emergency event description framework; obtain multi-source heterogeneous data related to rail transit emergency events from the data server; associate and comprehensively analyze and process the multi-source heterogeneous data related to rail transit emergency events to generate emergency event comprehensive situation layer data; analyze the client's request to determine whether to send the layer data to the client; the client requests the management server to obtain the emergency event comprehensive situation layer data according to the input instruction; the layer data and GIS data are displayed in an overlapping form through a display unit to display the rail transit emergency event comprehensive situation from different perspectives and time layers, which greatly improves the display efficiency of multi-source heterogeneous data and optimizes the user's utilization of data.

Description

Technical Field

[0001] The invention relates to a rail transit emergency command comprehensive situation analysis and display method and system based on GIS, belonging to the technical field of information processing. Background Art

[0002] The safety of rail transit operation concerns the lives and property of passengers. With the rapid development of my country's economy and society, the types and methods of rail transit emergency events are emerging in an endless stream. In view of the support for unified command and decision-making of rail transit emergency events under the new situation and the need to display the comprehensive situation of rail transit emergency events in a unified "one picture", the rail transit emergency comprehensive situation analysis and display technology is studied, and the information value of multi-source heterogeneous data is fully utilized to analyze and display the comprehensive situation of emergency events, provide comprehensive situation information of emergency events for rail transit emergency disposal, improve the emergency response efficiency of rail transit sites, and effectively control and reduce casualties and economic losses caused by rail transit emergency events. However, there are problems in the existing technology such as poor fit of the comprehensive situation business requirements, low information utilization rate of multi-source heterogeneous data, and low business utilization rate. It is impossible to complete the efficient use of multi-source business data through a set of systems, and it is also difficult to integrate and display multi-source heterogeneous data based on unified standards. Summary of the invention

[0003] Therefore, the present invention provides a comprehensive situation analysis and display system and method based on rail transit emergency business rules, which greatly improves the display efficiency of multi-source heterogeneous data and optimizes the user's utilization of data.

[0004] To achieve the above-mentioned purpose, the present invention provides a rail transit emergency command comprehensive situation analysis and display system based on GIS, which includes: a network for providing GIS data and a management server connected to the network, multiple data servers and multiple clients, the data server stores multiple data, and is characterized in that:

[0005] The management server includes an establishment unit, an acquisition unit, a layer data generation unit and a request analysis unit, wherein the establishment unit is configured to establish a rail transit emergency event association tree model according to a rail transit emergency event description framework; the acquisition unit is configured to acquire multi-source heterogeneous data related to rail transit emergency events from a data server; the layer data generation unit is configured to associate and comprehensively analyze and process information related to rail transit emergency events according to the multi-source heterogeneous data and the rail transit emergency event association tree model, and generate emergency event comprehensive situation layer data; the request analysis unit is configured to analyze the client's request and determine whether to send the layer data to the client;

[0006] The client includes a request unit and an overlapping display unit, wherein the request unit is configured to request the management server to obtain the comprehensive situation layer data of emergency events according to the instructions input by the input unit; the overlapping display unit is configured to display the layer data and GIS data in an overlapping form through the display unit to show the comprehensive situation of rail transit emergency events from different perspectives and time layers.

[0007] To achieve the above-mentioned purpose, the present invention also provides a GIS-based rail transit emergency command comprehensive situation analysis and display method, which includes:

[0008] The management server establishes a rail transit emergency event association tree model according to the rail transit emergency event description framework;

[0009] Obtain multi-source heterogeneous data related to rail transit emergency events from the data server;

[0010] According to the multi-source heterogeneous data and rail transit emergency event association tree model, the rail transit emergency event related information is associated and comprehensively analyzed and processed to generate emergency event comprehensive situation layer data;

[0011] Analyze the client's request and determine whether to send the layer data to the client;

[0012] The client requests the management server to obtain the comprehensive situation layer data of emergency events according to the instructions input by the input unit; the layer data and GIS data are displayed in an overlapping form through the display unit to show the comprehensive situation of rail transit emergency events from different perspectives and time layers.

[0013] Preferably, the processing includes predicting the population density c at the jth station entrance at the kth time in rail transit by using the following model: j (k), average speed v j (k) and traffic volume q j (k):

[0014]

[0015]

[0016]

[0017] In the formula, V(c j )=V f [1-(c j / c max ) l-1 ] 1 / 1-m ; Δt is the time interval (s); c j (k) is the population density of the jth station at time k; v j(k) is the spatial average velocity of the jth station at time k; q j (k) is the traffic volume at the jth station at time k; r j (k) is the flow of people into the jth station at time k; s j (k) is the outflow of personnel from the jth station at time k, V f is the free travel speed; c max is the congestion density, l and m are sensitivity parameters in tracking theory; ΔL, τ, v, α: parameters used in the model.

[0018] Furthermore, the multi-source heterogeneous data includes satellite image data, data acquired by monitoring equipment, data acquired from web pages, communication data, terrain data and positioning data.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] It greatly improves the display efficiency of multi-source heterogeneous data and optimizes users' utilization of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the specific implementation modes of the present invention, the drawings required for use in the description of the specific implementation modes will be briefly introduced below. Obviously, the drawings described below are some implementation modes of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0022] Figure 1 It is a block diagram of the composition of the rail transit emergency command comprehensive situation analysis and display system based on GIS provided by the present invention;

[0023] Figure 2 It is a functional block diagram of the management server provided by the present invention.

[0024] Figure 3 This is a functional block diagram of the client provided by the present invention.

[0025] Figure 4 A flowchart of the GIS-based rail transit emergency command comprehensive situation analysis and display method provided by the present invention;

[0026] Figure 5 It is a structural schematic diagram of the artificial intelligence module provided by the present invention. DETAILED DESCRIPTION

[0027] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] In the description of the present invention, it should be noted that the terms used herein are only used for the purpose of describing specific embodiments and are not intended to limit the present invention. Unless the context clearly indicates, when using terms such as "include" and / or "comprise", it is intended to indicate the presence of the feature, integer, step, operation, element and / or component, without excluding the presence or increase of one or more other features, integers, steps, operations, elements, components, and / or other combinations. The term "and / or" includes any and all combinations of one or more related listed items. The term "emergency event" should be understood in a broad sense, for example, it can be an event that endangers personal safety, or it can be a traffic accident event. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] In addition, the technical features involved in the embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0030] Figure 1 This is a block diagram of the composition of the rail transit emergency command comprehensive situation analysis and display system based on GIS provided by the present invention, such as Figure 1 As shown, the system includes a network for providing GIS data and a management server connected to the network, multiple data servers and multiple clients. The above-mentioned data servers respectively have a layer data database, an input and output unit and a control unit for storing GIS data superimposed with map data (background data). The data server stores track network data and multi-source heterogeneous data, and the multi-source heterogeneous data includes satellite image data, data obtained by monitoring equipment, data obtained from web pages, communication data, terrain data and positioning data. Track network data is data associated with the position of various coordinates such as longitude and latitude coordinates and plane rectangular coordinates.

[0031] Figure 2 It is a block diagram of the management server provided by the present invention, such as Figure 2As shown, the management server 10 includes: an input and output unit 11, a storage unit 18 and a control unit 20, wherein the control unit 20 includes an establishment unit 13, an acquisition unit 14 and a layer data generation unit 15, wherein the establishment unit 13 is configured to establish a rail transit emergency event association tree model according to the rail transit emergency event description framework, and the rail transit emergency event association tree model is composed of an event description model and an event logic relationship model: the event description model describes the element information of the event, including the event theme, development process, participant situation, background, related news reports and comments and other information; the event logic relationship model contains the organizational relationship between the various information elements of the event. The rail transit emergency event association tree model is characterized by being able to extract dynamic information such as event themes, processes and comments from multiple information sources; being able to extract photos, videos and target activities of the event area from multiple monitoring and detection devices; supporting the extraction of event background and related party situation and other information from the business basic data server; supporting the classification, organization, analysis and presentation of the extracted emergency event information according to the association tree model.

[0032] The acquisition unit 14 is configured to acquire multi-source heterogeneous data related to rail transit emergency events from a data server; the layer data generation unit 15 is configured to associate and comprehensively analyze and process the multi-source heterogeneous data related to rail transit emergency events according to the multi-source heterogeneous data and the rail transit emergency event association tree model, and generate emergency event comprehensive situation layer data, such as accessing the data monitored by the monitoring device and / or satellite image data, and calculating the traffic flow entering and exiting the rail transit station within the specified operating time; by accessing the terrain data, drawing a predetermined symbol at a position such as a predetermined longitude and latitude coordinate to obtain layer data; by accessing the positioning data, calculating the circular area with a point as the center and a radius of a predetermined distance to obtain layer data, etc., and associating the names of the above various layer data, the names of the operation processing, etc., and storing them in the management server layer name table. In the present invention, the layer data generation unit 15 can also use the location based on the longitude and latitude coordinates to perform the corresponding operation processing and generate the corresponding layer data.

[0033] In the present invention, the processing of multi-source heterogeneous data includes predicting the population density c at the jth station entrance at the kth time in rail transit by the following model: j (k), average speed v j (k) and traffic volume q j (k):

[0034]

[0035]

[0036]

[0037] In the formula, V(cj )=V f [1-(c j / c max ) l-1 ] 1 / 1-m ; Δt is the time interval (s); ΔL j is the change rate of the personnel density at the jth station at the distance time k; r j (k-1) is the inflow of people at the jth station at time k-1; s j (k-1) is the outflow of people from the jth station at time k-1; c j-1 (k), c j (k) and c j+1 (k) are the population densities of the j-1th, jth and j+1th stations at time k; v j-1 (k), v j (k) and v j+1 (k) are the spatial average velocities of the j-1th, jth and j+1th stations adjacent to each other at time k; q j-1 (k), q j (k) and q j+1 (k) are the traffic volumes of the j-1th, jth and j+1th stations at time k; V f is the free travel speed; c max is the congestion density, l and m are the sensitivity parameters in the tracking theory; ΔL, τ, v, α are the parameters used in the model.

[0038] According to one embodiment, the control unit 20 further includes a layer name collection unit 12, which accesses the management information at predetermined time intervals to collect the data names of the layer data stored in the data server and the data server layer name table, the data server layer name table stores the addresses of the collected data servers and the layer names associated with the multi-source heterogeneous data, such as the environment, resource allocation data, personnel distribution data, geographic coordinate data, police force deployment data, event development data, etc. The control unit 20 further includes a transformation unit 13, which transforms the address information in the data into information such as longitude and latitude coordinates, and during the transformation, refers to the address database 22 of the storage unit. The management server layer name table and the data server layer name table together constitute a layer name table 21, thereby, the data names of the above-mentioned layer data that can be provided to the client are concentrated in the layer name table 21. The layer name table 21 also stores the data names of the map data, etc.

[0039] The control unit 20 further includes a sending unit 16 configured to send the map data and the layer data together with the location data based on the latitude and longitude coordinates to the client, so that the client can display the map data and the layer data in a superimposable manner.

[0040] The control unit 20 also includes a request analysis unit 17, which is configured to analyze the request of the client and determine whether to send the map data and layer data and their layer names to the client. If it is determined that the map data and layer data and their layer names are sent to the client, the map data corresponding to the map data name and the acquisition instruction of the layer data corresponding to the layer data name are output to the data acquisition unit 14 together with the position data stored in the data server. In response to the request from the request analysis unit 17, the data acquisition unit 14 refers to the layer name table 21, obtains the map data, the layer data corresponding to the layer data name, and the latitude and longitude coordinates and other information from the data server, and then sends them to the client through the sending unit 16. When acquiring the map data, the position data stored in the data server is used to specify the map area to be acquired. If it is necessary to perform superimposed arithmetic processing on the acquired layer data, the control unit 20 outputs the layer data to the layer data generation unit 15 to generate another layer of data.

[0041] Figure 3 is a functional block diagram of the client provided by the present invention, such as Figure 3 As shown, the client includes an input unit 31 composed of a mouse or keyboard, an output unit 32, a display unit 33 composed of a display, a control unit 34 and a storage unit 35, wherein the storage unit 35 stores a display program based on GIS rail transit, and the program can be run on an appropriate operating system. The control unit 34 includes: a data name acquisition unit 36, which is configured to access the data server at a specified time interval and obtain the data name stored in the database. The control unit 34 also includes a data name display unit 37, which is configured to make the display unit 33 display the data name obtained by the data name acquisition unit 42. The client can access the data in the database of the data server, obtain the data name of the database and the address and data server name of the data server storing the data name from the data server. A data name table is set in the storage unit 35, and the data name table stores the address and data server name of the data server storing each data in association with the data name stored in the data server.

[0042] The control unit 34 further includes a layer name acquisition unit 40, which accesses the management server and acquires the layer name from the layer name table 21. The layer name acquisition unit 40 uses the address of the management server and the layer name table 21 stored in the storage unit to access the management server at a predetermined time interval, and the acquired layer name is displayed on the display unit 33 by the layer name display unit 41. In addition to the above, the layer name acquisition unit 40 also acquires the data name of the map data, and the layer name display unit 41 also displays the data name of the map data on the display unit 33.

[0043] The control unit 34 also includes a request unit 38 and an overlapping display control unit 39, wherein the request unit 38 is configured to request the management server to obtain the comprehensive situation layer data of the emergency event according to the instruction input through the input unit 31; the overlapping display unit 39 is configured to display the layer data and the GIS data in an overlapping form through the display unit to show the comprehensive situation of rail transit emergency events from different perspectives and time layers. The request unit 38 includes a flowchart making tool and a demand management unit. Once the flowchart making tool is started, a specified flowchart making area will be set in the display image of the above-mentioned display unit 33. In addition, in the flowchart making area, drawing auxiliary tools for drawing processing marks, data marks, line marks, and marks indicating display processing are displayed.

[0044] According to one embodiment of the present invention, a flowchart of a rail transit emergency command comprehensive situation analysis and display method based on GIS is also provided. Figure 4 As shown, the method provided by the present invention comprises:

[0045] S1: The management server establishes a rail transit emergency event association tree model according to the rail transit emergency event description framework;

[0046] S2: Obtain multi-source heterogeneous data related to rail transit emergency events from the data server;

[0047] S3: According to the multi-source heterogeneous data and the rail transit emergency event association tree model, the rail transit emergency event related information is associated and comprehensively analyzed and processed to generate the emergency event comprehensive situation layer data; the client request is analyzed to determine whether to send the layer data to the client R. The processing of multi-source heterogeneous data includes predicting the personnel density c at the jth station in the rail transit at the kth time through the data model of formulas (1), (2) and (3) j (k), average speed v j (k) and traffic volume q j (k);

[0048] S4: The client requests the management server to obtain the comprehensive situation layer data of emergency events according to the instructions input by the input unit; the layer data and GIS data are displayed in an overlapping form through the display unit to show the comprehensive situation of rail transit emergency events from different perspectives and time layers.

[0049] According to one embodiment of the present invention, when the acquisition unit is configured to acquire multi-source heterogeneous data related to rail transit emergency events from a data server, it also determines the confidence of the first type of data through an artificial intelligence module, and uses data with a confidence higher than a set threshold to form layer data.

[0050] According to an optional embodiment of the present invention, when the acquisition unit acquires multi-source heterogeneous data related to rail transit emergency events from the data server, it is necessary to perform confidence analysis on each type of data. Figure 5 The artificial intelligence module shown analyzes the confidence of each data. Figure 5 As shown, the data acquisition unit processes each of the multi-source heterogeneous data to obtain data input to the input layer 50 of the deep learning model. In the present invention, the deep learning model adopts a bidirectional ultra short-term memory (bi-LSTM) deep learning model, which has an input layer 50, a forward LSTM layer 51, a reverse LSTM layer 52 and an output layer 53. The input layer inputs a time series of a certain data of the multi-source heterogeneous data, and the input layer outputs the data confidence score. The confidence score can be bound to the binding layer 54. In some embodiments, the deep learning model can be trained by data streams.

[0051] The data processing for converting multi-source heterogeneous data into the input layer of the deep learning model can include various data processing techniques. For example, specific features of the data are analyzed to determine their relationship with confidence. The data input to the input layer can be provided to each neuron in the forward LSTM layer and each neuron in the reverse LSTM layer. In this way, the deep learning model can use future data and historical data to determine the confidence of a certain information.

[0052] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A rail transit emergency command comprehensive situation analysis and display system based on GIS, comprising: A network for providing GIS data and a management server, multiple data servers and multiple clients connected to the network, wherein the data server stores multiple data, characterized in that: The management server includes an establishment unit, an acquisition unit, a layer data generation unit and a request analysis unit, wherein the establishment unit is configured to establish a rail transit emergency event association tree model according to a rail transit emergency event description framework; the acquisition unit is configured to acquire multi-source heterogeneous data related to rail transit emergency events from a data server; the layer data generation unit is configured to associate and comprehensively analyze and process the multi-source heterogeneous data related to rail transit emergency events according to the multi-source heterogeneous data and the rail transit emergency event association tree model, and generate emergency event comprehensive situation layer data; the request analysis unit is configured to analyze the client's request and determine whether to send the emergency event comprehensive situation layer data to the client; The client includes a request unit and an overlapping display control unit, wherein the request unit is configured to request the management server to obtain the comprehensive situation layer data of the emergency event according to the instruction input by the input unit; the overlapping display control unit is configured to display the comprehensive situation layer data of the emergency event and the GIS data in an overlapping form through the display unit to show the comprehensive situation of the rail transit emergency event from different perspectives and time layers; The processing includes predicting the first Station No. Density of people over time , average speed and traffic volume : ， ， ， In the formula, ; is the time interval (s); For the Stations at time Density of people; For the The average speed of each station at time k; For the Stations at time Traffic volume; For the The inflow of people at a station entrance at time k; For the The outflow of people from a station at time k, is the free travel speed; is the congestion density, and is the sensitivity parameter in tracking theory; , , , are the parameters of the model.

2. The GIS-based rail transit emergency command comprehensive situation analysis and display system according to claim 1 is characterized in that: Multi-source heterogeneous data include satellite image data, data obtained by surveillance equipment, data obtained from web pages, communication data, terrain data and positioning data.

3. A GIS-based rail transit emergency command comprehensive situation analysis and display method, which includes: The management server establishes a rail transit emergency event association tree model according to the rail transit emergency event description framework; Obtain multi-source heterogeneous data related to rail transit emergency events from the data server; According to the multi-source heterogeneous data and rail transit emergency event association tree model, the rail transit emergency event related information is associated and comprehensively analyzed and processed to generate emergency event comprehensive situation layer data; Analyze the client's request and determine whether to send the emergency event comprehensive situation layer data to the client; The client requests the management server to obtain the comprehensive situation layer data of the emergency event according to the instruction input by the input unit; The comprehensive situation layer data of emergency events and GIS data are displayed in an overlapping form through a display unit to present the comprehensive situation of rail transit emergency events from different perspectives and time layers; The processing includes predicting the first Station No. Density of people over time , average speed and traffic volume : ， ， ， In the formula, ; is the time interval (s); For the Stations at time Density of people; For the The average speed of each station at time k; For the Stations at time Traffic volume; For the The inflow of people at a station entrance at time k; For the The outflow of people from a station at time k, is the free travel speed; is the congestion density, and is the sensitivity parameter in tracking theory; , , , are the parameters used for the model.

4. The GIS-based rail transit emergency command comprehensive situation analysis and display method according to claim 3 is characterized in that: Multi-source heterogeneous data include satellite image data, data obtained from surveillance equipment, data obtained from web pages, communication data, terrain data and positioning data.

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