Method and system for intelligently generating emergency evacuation scheme

Abstract

The present invention relates to the technical field of intelligent evacuation. Provided are a method and system for intelligently generating an emergency evacuation scheme. The method comprises: performing geographic information scene creation and data association on the basis of a park plane map, so as to obtain a digital visual map; sensing and marking the type, occurrence location, severity degree and influence range of an incident in real time, and performing initial information configuration on an evacuation scheme; determining an evacuation mode; automatically and manually creating or modifying evacuation routes, automatically merging the generated evacuation routes, and automatically supplementing unselected evacuation routes, so as to obtain an optimal evacuation path; and automatically generating key information of the evacuation scheme, so as to obtain an emergency evacuation scheme. The present invention reduces the evacuation design command difficulty of a complex incident site, improves and ensures the feasibility of all evacuation schemes, eliminates the misoperation possibly caused by human factors in the case of a large number of manual plans, and ensures the correctness of an evacuation indication direction, thereby making intelligent evacuation more reliable and safe.

Description

A method and system for intelligently generating emergency evacuation plans Technical Field

[0001] The present invention relates to the field of intelligent evacuation technology, and in particular to a method and system for intelligently generating an emergency evacuation plan. Background Art

[0002] With the modern chemical industry's intensification, large-scale development, and optimization, chemical parks have become an emerging model for the chemical industry's development. However, while promoting rapid local economic development, they also present serious safety issues. In recent years, the chemical industry has faced a severe production safety situation, with a high incidence of major and extremely serious explosions, fires, and leaks. In the event of an accident in a chemical park, emergency evacuation of personnel becomes a critical issue.

[0003] Existing emergency evacuation systems consist of static evacuation signs installed along passageways, pointing to safe exits. These signs are unable to respond to changes at the accident scene, nor can they dynamically adjust escape directions, making on-site escape difficult. Furthermore, these evacuation sign systems lack intelligence. When an accident occurs in a building, the sign system cannot promptly monitor the situation at the scene, potentially misleading personnel to evacuate in directions where the accident is most likely to occur.

[0004] Summary of the Invention

[0005] To this end, embodiments of the present invention provide a method and system for intelligently generating an emergency evacuation plan, which are used to solve the problem in the prior art that the evacuation indication system has low intelligence and cannot provide the optimal evacuation route in a timely manner.

[0006] To solve the above problems, an embodiment of the present invention provides a method for intelligently generating an emergency evacuation plan, comprising:

[0007] Step S1: Based on the park plan map, create a geographic information scene and associate data to obtain a digital visualization map, wherein the digital visualization map includes a starting point, a concentration point, a control point, a path, and a building. The building and the surrounding paths and starting points are associated with each other;

[0008] Step S2: Real-time perception and annotation of the type, location, severity, and impact range of the accident, initialization information configuration of the evacuation plan, marking the location of the accident on the digital visualization map, generating a draggable accident point icon, and associating the accident point icon with the building where the accident occurred;

[0009] Step S3: Based on the basic data information of the digital visualization map, determine the evacuation mode according to the type, severity and impact range of the accident;

[0010] Step S4: according to the evacuation mode, automatically or manually create or modify evacuation routes, automatically merge the generated evacuation routes, and automatically supplement the unselected evacuation routes to obtain the optimal evacuation path;

[0011] Step S5: Automatically generate key information of the evacuation plan based on the optimal evacuation path to obtain an emergency evacuation plan;

[0012] Among them, the starting point is the starting position of the evacuation route of personnel in the park, the concentration point is the end point of the evacuation route of personnel in the park, the control point is the intersection of two or more paths other than the starting point and the concentration point, the path is a line segment connecting two adjacent points among the starting point, the concentration point, and the control point, and the coordinates of the path include at least one of the starting point, the concentration point, and the control point.

[0013] Preferably, the method further includes step S6: intelligently managing and querying the emergency evacuation plan, and selecting a suitable evacuation plan according to actual conditions, including automatic matching of wind speed and direction evacuation plans and automatic matching of regions evacuation plans.

[0014] Preferably, in step S1, based on the park plan map, geographic information scene creation and data association are performed to obtain a digital visualization map, specifically comprising:

[0015] Regional data creation: Based on the park plan map, basic static data is constructed, including the starting point, concentration point, control point, and path;

[0016] Scene image rendering: Based on the starting point, central point and control point, a path weighted undirected graph is constructed with the length of the path as the weight;

[0017] Scenario data association: Based on the path weighted undirected graph, construct building data within the park, associate the building data with the paths and starting points around the building, and obtain the associated paths and associated starting points of the building;

[0018] Equipment geolocation: Based on the associated path, evacuation indication devices are evenly distributed on the path to obtain a digital visualization map; according to the actual location of the meteorological monitoring equipment, it is marked on the digital visualization map, and the location information of the broadcasting equipment and outdoor display screen equipment is associated with at least one of the building data and the starting point associated with the building.

[0019] Preferably, in step S2, the method for configuring the initialization information of the evacuation plan is:

[0020] Enter the evacuation plan name, enter the evacuation plan description text, select the evacuation mode, select the enable status of the meteorological environment monitoring equipment, broadcasting equipment, and outdoor display equipment, select the accident level, enter the wind speed and select the wind direction.

[0021] Preferably, the evacuation modes include: a global evacuation mode, a designated facility evacuation mode, a designated radius evacuation mode and a wind direction angle evacuation mode.

[0022] Preferably, in step S3, the method for determining the evacuation mode according to the type, severity and impact range of the accident is:

[0023] When the accident affects the entire area, the evacuation mode is determined to be the global evacuation mode; when the accident only affects the building where it is located, the evacuation mode is determined to be the designated facility evacuation mode; when the accident only affects buildings within a certain range, the evacuation mode is determined to be the designated evacuation radius evacuation mode; when the accident type is confirmed to be a toxic gas leak and the wind direction data collected by the meteorological monitoring equipment exceeds the specified threshold, and the accident has an impact on the downwind building, the evacuation mode is determined to be the wind direction angle evacuation mode.

[0024] Preferably, in step S4, the method for automatically creating an evacuation route is:

[0025] Step 1: Read all paths and path weight information in the area;

[0026] Step 2: Based on the type, location, severity, impact range, and determined evacuation mode of the accident, find the set of all starting points S and the set of concentration points J in the entire area;

[0027] Step 3: Encapsulate the two-dimensional matrix array of the relationship between each evacuation point according to the above two steps;

[0028] Step 4: Obtain the shortest distance from each starting point S(i) to all concentrated points J(n) according to the Dijkstra algorithm, then compare the shortest path L from the starting point S(i) to each concentrated point J(n) to find the optimal evacuation path from the starting point to a certain concentrated point.

[0029] Preferably, weights are assigned to the paths bound to the region according to the severity of the accident or are manually assigned to the paths bound to the region.

[0030] Preferably, in step S4, the method for manually creating an evacuation route is:

[0031] First, based on the accident point and accident type, the starting point associated with the building affected by the accident is intelligently identified. This starting point is used as the starting point for manually creating an evacuation route, and the starting points associated with buildings not affected by the accident point are automatically disabled.

[0032] Then manually click each control point, starting point or concentration point. Each time you click, only the adjacent points of the current point are displayed for selection to avoid skipping or missing points. A set of points arranged in sequence is generated as an evacuation path.

[0033] Finally, multiple evacuation paths are obtained through multiple drawing.

[0034] Preferably, in step S4, the method for automatically merging the generated evacuation routes is:

[0035] When a path Rn is part of multiple evacuation routes, if the evacuation directions of multiple routes are the same at Rn, then Rn is a one-way evacuation path; if the evacuation directions of multiple routes are two, then Rn is a two-way evacuation path; traverse all evacuation routes to determine whether the evacuation direction of each path Rn participating in the evacuation is one-way or two-way, and complete the merging of the evacuation routes.

[0036] Preferably, in step S4, the method for automatically supplementing the unselected evacuation routes is:

[0037] Step 1: Generate an evacuation route from the starting point to the central point according to the optimal evacuation route generation algorithm;

[0038] Step 2: Find all control points in the area that are not on the evacuation route, that is, get all control points that are not on the evacuation route;

[0039] Step 3: Generate an evacuation route based on the algorithm for the control points that did not pass through the evacuation route in the second step;

[0040] Step 4: All evacuation points are on the evacuation route. Find the routes that have not been generated and use two-way evacuation.

[0041] Preferably, in step S5, the method for automatically generating key information of the evacuation plan is:

[0042] Automatically extract key information in the evacuation plan configuration and generation process, integrate relevant parameters and naming mapping tables in the data dictionary, and automatically generate key text description information of the evacuation plan.

[0043] Preferably, the key text description information of the evacuation plan includes the type of accident, buildings that need to be evacuated, the evacuation route, and the length of the evacuation route.

[0044] An embodiment of the present invention further provides an emergency evacuation plan intelligent generation system for implementing the above-mentioned emergency evacuation plan intelligent generation method, the system comprising:

[0045] A digital visualization map construction module is used to create a geographic information scene and associate data based on the campus plan map to obtain a digital visualization map. The digital visualization map includes a starting point, a concentration point, a control point, a path, and a building. The building is associated with the path around the building and the starting point.

[0046] An accident perception and configuration module is used to perceive and mark the type, location, severity and impact range of the accident in real time, initialize information configuration for the evacuation plan, mark the location of the accident on the digital visualization map, generate a draggable accident point icon, and associate the accident point icon with the building where the accident occurred;

[0047] The evacuation mode determination module is used to determine the evacuation mode based on the basic data information of the digital visualization map and the type, severity and impact range of the accident;

[0048] An evacuation route generation module is used to automatically or manually create or modify evacuation routes according to the evacuation mode, automatically merge the generated evacuation routes, and automatically supplement the unselected evacuation routes to obtain the optimal evacuation route;

[0049] The evacuation plan generation module is used to automatically generate key information of the evacuation plan based on the optimal evacuation path and obtain the emergency evacuation plan;

[0050] Among them, the starting point is the starting position of the evacuation route of personnel in the park, the concentration point is the end point of the evacuation route of personnel in the park, the control point is the intersection of two or more paths other than the starting point and the concentration point, the path is a line segment connecting two adjacent points among the starting point, the concentration point, and the control point, and the coordinates of the path include at least one of the starting point, the concentration point, and the control point.

[0051] Preferably, it also includes an intelligent management and query module for intelligently managing and querying emergency evacuation plans and selecting appropriate evacuation plans based on actual conditions, including automatic matching of wind speed and direction evacuation plans and automatic matching of regional evacuation plans.

[0052] Preferably, it also includes an evacuation plan execution module for executing the obtained emergency evacuation plan.

[0053] Preferably, the execution modes of the emergency evacuation plan include: Mode 1: multiple emergency evacuation plans are pre-issued and stored, and activated and executed uniformly; Mode 2: emergency evacuation plans are intelligently generated in real time and issued and executed in real time.

[0054] An embodiment of the present invention also provides an electronic device, which includes a processor, a memory and a bus system. The processor and the memory are connected through the bus system. The memory is used to store instructions, and the processor is used to execute the instructions stored in the memory to implement the above-mentioned method for intelligently generating emergency evacuation plans.

[0055] An embodiment of the present invention further provides a computer storage medium storing a computer software product. The computer software product includes several instructions for enabling a computer device to execute the above-mentioned method for intelligently generating an emergency evacuation plan.

[0056] It can be seen from the above technical solutions that the present invention has the following advantages:

[0057] (1) The present invention has the ability to intelligently plan the best evacuation route based on the imagined complex accident scenario, and has the ability to manually plan or adjust the evacuation route, so that the intelligent emergency evacuation system has better adaptability (such as balancing the evacuation flow), and has the ability to quickly and intelligently plan the best evacuation route in real time according to the actual accident situation. After testing, it can complete the configuration and intelligent generation of the plan within 20 seconds. It has the ability to intelligently manage and query the emergency evacuation plan, and can quickly select the most appropriate evacuation plan and issue it for execution.

[0058] (2) The present invention has two evacuation plan execution modes: a. Multiple evacuation plans are pre-issued and stored, and activated and executed uniformly; b. Evacuation plans are generated intelligently in real time and issued and executed in real time.

[0059] (3) The present invention increases the real-time, diversity and adaptability of the evacuation plan, and realizes the instant intelligent automatic generation of the evacuation plan when the accident alarm occurs. When an emergency occurs, the auxiliary system gives the optimal evacuation plan, which improves the system's evacuation processing capabilities in complex accident environments and effectively ensures the safety of personnel.

[0060] (4) The present invention solves the fire / chemical toxic smoke spread trend analysis and evacuation response strategy, and improves the system's ability to judge and command accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the implementation cases of the present invention or the technical solutions in the prior art, the following is a brief description of the drawings required for use in the embodiments. By referring to the drawings, the features and advantages of the present invention will be more clearly understood. The drawings are schematic and should not be understood as limiting the present invention in any way. Those skilled in the art can derive other drawings based on these drawings without inventive effort. Among them:

[0062] Figure 1 is a schematic diagram of the core business process of an intelligent emergency evacuation system;

[0063] FIG2 is a flow chart of a method for intelligently generating an emergency evacuation plan according to an embodiment;

[0064] Figure 3 is an undirected graph;

[0065] FIG4 is a schematic diagram of the steps of using the Dijkstra algorithm to find the single-source shortest path starting from point A;

[0066] Figure 5 is a diagram showing the shortest route data from the starting point to the central point in the automatically generated evacuation route;

[0067] Figure 6 is an impact weight diagram;

[0068] Figure 7 is a schematic diagram of the evacuation route when the accident is a minor accident;

[0069] Figure 8 is a schematic diagram of the evacuation route when the accident is a serious accident;

[0070] FIG9 is a schematic diagram of manually creating an evacuation route;

[0071] FIG10 is a schematic diagram of manually creating an evacuation route;

[0072] FIG11 is a schematic diagram of manually creating an evacuation route;

[0073] FIG12 is a schematic diagram of manually creating an evacuation route;

[0074] FIG13 is a schematic diagram of manually creating an evacuation route;

[0075] Figure 14 is a schematic diagram of generating an evacuation route;

[0076] FIG15 is a schematic diagram of generating multiple evacuation routes;

[0077] FIG16 is a schematic diagram of automatic merging of unselected evacuation routes;

[0078] FIG17 is a schematic diagram of automatic merging of unselected evacuation routes;

[0079] FIG18 is a schematic diagram showing the result of automatic merging of unselected evacuation routes;

[0080] Figure 19 is a schematic diagram of the evacuation plan when wind direction does not work;

[0081] Figure 20 is a schematic diagram showing the platform automatically matching the southeast wind evacuation plan when the wind direction is in effect and the current wind is southeast;

[0082] Figure 21 shows a schematic diagram of an evacuation plan that is automatically matched to the area where the accident occurred, with the location function of the accident point uploading the location of the area where the accident occurred;

[0083] FIG22 is a block diagram of an intelligent generation system for an emergency evacuation plan according to an embodiment. DETAILED DESCRIPTION

[0084] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. 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 making creative efforts shall fall within the scope of protection of the present invention.

[0085] Example 1

[0086] As shown in Figure 1, the core functional modules of an intelligent emergency evacuation system include: a device management module, a geographic information scene and data association module, an evacuation plan visualization creation module, an evacuation plan execution module, and a device linkage module. The device management module is used to import device data information, control devices, and read device status; the geographic information scene and data association module is used to create a digital visualization of the campus geographic scene based on the actual roads in the campus plan map, which can be interacted with by humans and machines; the evacuation plan visualization creation module is used to perceive the type, location, scope of impact, and severity of the accident based on the created digital visualization of the campus geographic scene, determine the evacuation mode, form an evacuation route, and store and manage it; the evacuation plan execution module is used to map the evacuation route to the evacuation indicator device, which is then turned on to guide personnel to evacuate; and the device linkage module is used to generate evacuation route text information and evacuation route dynamic images based on the evacuation route, and to broadcast and display them in conjunction with network broadcast equipment and outdoor display equipment.

[0087] The present invention mainly realizes the intelligent generation of evacuation plans in the above-mentioned intelligent emergency evacuation system. Referring to Figure 2, an embodiment of the present invention proposes an intelligent generation method for emergency evacuation plans, which includes:

[0088] Step S1: Based on the park plan map, create a geographic information scene and associate data to obtain a digital visualization map, wherein the digital visualization map includes a starting point, a concentration point, a control point, a path, and a building. The building and the surrounding paths and starting points are associated with each other;

[0089] Step S2: Real-time perception and annotation of the type, location, severity, and impact range of the accident, initialization information configuration of the evacuation plan, marking the location of the accident on the digital visualization map, generating a draggable accident point icon, and associating the accident point icon with the building where the accident occurred;

[0090] Step S3: Based on the basic data information of the digital visualization map, determine the evacuation mode according to the type, severity and impact range of the accident;

[0091] Step S4: according to the evacuation mode, automatically or manually create or modify evacuation routes, automatically merge the generated evacuation routes, and automatically supplement the unselected evacuation routes to obtain the optimal evacuation path;

[0092] Step S5: Automatically generate key information of the evacuation plan based on the optimal evacuation path to obtain an emergency evacuation plan;

[0093] Among them, the starting point is the starting position of the evacuation route of personnel in the park, the concentration point is the end point of the evacuation route of personnel in the park, the control point is the intersection of two or more paths other than the starting point and the concentration point, the path is a line segment connecting two adjacent points among the starting point, the concentration point, and the control point, and the coordinates of the path include at least one of the starting point, the concentration point, and the control point.

[0094] From the above technical solutions, the present invention provides an intelligent generation method for emergency evacuation plans. By creating geographic information scenes and associating data based on a park plan map, a digital visualization map is obtained; the type, location, severity and impact range of the accident are perceived and marked in real time, and the evacuation plan is initialized with information configuration; the evacuation mode is determined according to the type, severity and impact range of the accident; the evacuation route is automatically or manually created or modified, and the generated evacuation route and the unselected evacuation route are automatically merged to obtain the optimal evacuation path; the key information of the evacuation plan is automatically generated to obtain the emergency evacuation plan. The present invention has the ability to intelligently plan the best evacuation route according to the complex accident scenario, and has the ability to manually plan or adjust the evacuation route, so that the intelligent emergency evacuation system has better adaptability (such as balancing the evacuation flow), and has the ability to quickly and intelligently plan the best evacuation route in real time according to the actual accident situation. In addition, the present invention can reduce the difficulty of evacuation design and command at complex accident sites, improve and ensure the feasibility of all evacuation plans, eliminate the possible misoperation caused by human factors when the amount of manual plans is large, ensure the correctness of the evacuation indication direction, and make intelligent evacuation more reliable and safe.

[0095] This embodiment also includes step S6: intelligently managing and querying emergency evacuation plans, selecting an appropriate evacuation plan based on actual conditions, including automatically matching evacuation plans to wind speed and direction, and automatically matching evacuation plans to regions. Therefore, the present invention also has the ability to intelligently manage and query emergency evacuation plans, allowing for the rapid selection and execution of the most appropriate evacuation plan.

[0096] In this embodiment, in step S1, the method of creating a geographic information scene and associating data based on the park plan map to obtain a digital visualization map specifically includes:

[0097] Regional data creation: Based on the park floor plan, basic static data is constructed. The basic static data includes the starting point, concentration point, control point, and path. The starting point is the starting position of the evacuation route for personnel in the park, the concentration point is the end point of the evacuation route for personnel in the park, the control point is the intersection of two or more paths other than the starting point and the concentration point, the path is a line segment connecting two adjacent points among the starting point, concentration point, and control point, and the coordinates of the path include at least one of the starting point, concentration point, and control point.

[0098] Scene image drawing: Based on the starting point, central point and control point, a path weighted undirected graph is constructed with the length of the path as the weight.

[0099] Scenario data association: Based on the path weighted undirected graph, the building data in the park is constructed, and the building data is associated with the paths and starting points around the building to obtain the associated paths and associated starting points of the building.

[0100] Equipment geolocation: Based on the associated path, evacuation indication devices are evenly distributed on the path to obtain a digital visualization map; according to the actual location of the meteorological monitoring equipment, it is marked on the digital visualization map, and the location information of the broadcasting equipment and outdoor display equipment is correlated with at least one of the building data and the starting point associated with the building.

[0101] In this embodiment, step S2 detects and annotates the accident type, location, severity, and impact range in real time, and initializes the evacuation plan. Specifically, the method for initializing the evacuation plan includes: entering the evacuation plan name, entering a description of the evacuation plan, selecting an evacuation mode, selecting the enablement status of meteorological environment monitoring equipment, broadcasting equipment, and outdoor display screen equipment, selecting the accident level, and entering wind speed and direction. Finally, the accident location is marked on a digital visualization map, generating a draggable accident point icon, and associating the accident point icon with the building where the accident occurred.

[0102] The evacuation modes include: global evacuation mode, designated facility evacuation mode, designated radius evacuation mode and wind direction angle evacuation mode.

[0103] In this embodiment, in step S3, based on the basic data information of the digital visualization map, the evacuation mode is determined according to the type, severity, and impact range of the accident. The method for determining the evacuation mode is as follows: when the accident affects the entire area, the evacuation mode is determined to be a global evacuation mode; when the accident only affects the building where it is located, the evacuation mode is determined to be a designated facility evacuation mode; when the accident only affects buildings within a certain range, the evacuation mode is determined to be a designated evacuation radius evacuation mode; when the accident type is confirmed to be a toxic gas leak, and the wind direction data collected by the meteorological monitoring equipment exceeds a specified threshold, and the accident affects the downwind building, the evacuation mode is determined to be a wind direction angle evacuation mode.

[0104] In this embodiment, in step S4, evacuation routes are automatically or manually created or modified according to the evacuation mode, and the generated evacuation routes are automatically merged, and the unselected evacuation routes are automatically supplemented to obtain the optimal evacuation path.

[0105] In order to generate the optimal generation route, the present invention adopts the Dijkstra algorithm. The function of the Dijkstra algorithm is: given a vertex in a weighted connected graph, called the starting point, find the shortest distance between the starting point and all other vertices. The idea of ​​the Dijkstra algorithm is: using the greedy method, perform n-1 searches (PS: n is the total number of vertices in the weighted connected graph, excluding the starting point, there are n-1 vertices left). The first search is performed to find the vertex closest to the starting point and mark it as traversed; the next search is performed, the vertex closest to the starting point is found from the vertices that have not been traversed, and marked as traversed; until n-1 searches are completed, the search ends and the final result is returned.

[0106] 3 and 4 are used to illustrate the process of using the Dijkstra algorithm to find the single-source shortest path starting from point A.

[0107] Specifically, the method for automatically creating evacuation routes:

[0108] Step 1: Read all paths and path weight information in the area;

[0109] Step 2: Based on the type, location, severity, impact range, and determined evacuation mode of the accident, find the set of all starting points S and the set of concentration points J in the entire area;

[0110] Step 3: Encapsulate the two-dimensional matrix array of the relationship between each evacuation point according to the above two steps;

[0111] Step 4: Use the Dijkstra algorithm to determine the shortest distance from each starting point S(i) to all the concentrated points J(n). Then, compare the shortest paths L from the starting point S(i) to each concentrated point J(n) (each L in the table can be obtained using the Dijkstra algorithm), as shown in Table 1 below. Encapsulate the minimum value in each row of Table 1 into a set, convert the data in the set into the data required by the user, and return it. As shown in Figure 5, the "paths" parameter set in Figure 5 returns the data for the five shortest paths from the starting point to the concentrated point.

[0112] Table 1

[0113] To ensure accuracy and automatic calculation of optimal evacuation routes, the emergency evacuation plan introduces the concept of road (path) weights. When an accident occurs in a region, the roads associated with that region are affected by the severity of the accident. Weights can be assigned to the roads associated with the region based on the severity of the accident, or they can be manually assigned weights to restrict their accessibility, thus achieving one of the conditions for automatically calculating the optimal evacuation route. Figure 6 shows the impact weights.

[0114] The following describes the impact of weights with reference to Figures 7 and 8. As shown in Figure 7, an evacuation demonstration shows that an accident occurs at a material warehouse and evacuation is performed from starting point S1 associated with the PP granulation plant in the designated area. If the accident is minor, the impact on the roads surrounding the material warehouse area is negligible, and the optimal evacuation route is to start from starting point S1 and evacuate upwards to the evacuation concentration point J1. The calculated total distance is 450 meters, as shown in the evacuation route marked in Figure 7.

[0115] When the accident is a serious accident, it has a great impact on the roads around the accident site, or even prohibits traffic (as shown by the lines around the accident point area). The optimal route is automatically calculated to start from the starting point S1, bypass the roads around the accident point and evacuate downward to the evacuation concentration point J1. The total distance is calculated to be 671m. If the evacuation is calculated according to the original route, the total distance is 2613m, as shown in the evacuation route in Figure 8.

[0116] To manually create an evacuation route:

[0117] First, based on the accident point G and the accident type, the system intelligently identifies the starting point S associated with the affected building J. S is used as the starting point for manually creating an evacuation route, and the starting point Sn (generally referring to the starting point) associated with buildings Jn (generally referring to unaffected buildings) not affected by the accident point G is automatically disabled. Assuming an accident occurs in building J (PP mixing), affecting only that building (PP mixing) and the surrounding roads, the starting points for manually creating an evacuation route are intelligently identified as S28, S29, and S30. Only S28, S29, and S30 are available for selection, as shown in Figure 9.

[0118] Then manually click each control point, starting point, or concentration point. Each time you click, only its adjacent points are displayed for selection to avoid skipping or missing points. A set of points arranged in sequence is generated as an evacuation route. Taking Figure 9 as an example, manually click the starting point S28, and the point C10 adjacent to S28 is intelligently identified. At the same time, C10 is opened as a clickable control point and connected, as shown in Figure 10.

[0119] Intelligently identify points C9 and C11 adjacent to C10 (remove the already connected adjacent point S28), open C9 and C11 as clickable control points, and connect C9 here, as shown in Figure 11.

[0120] Intelligently identify points S10 and S29 adjacent to C9 (removing the already connected adjacent point C10), open S10 and S29 as clickable control points, and connect S10 here, as shown in Figure 12. Intelligently identify points S12 and C21 adjacent to S10 (removing the already connected point C9), open S12 and C21 as clickable control points, and connect S12 here, as shown in Figure 13. Intelligently identify points Z2 and S15 adjacent to S12 (removing the already connected point S10), open Z2 and S15 as clickable control points, and connect Z2 here, thus forming an evacuation route from starting point S28 to Z2, as shown in Figure 14. Finally, multiple evacuation paths are obtained by drawing multiple times, as shown in Figure 15.

[0121] The methods for manually or automatically modifying evacuation routes include:

[0122] Manual modification: first delete the current evacuation route, then redraw it, and then save the redrawn evacuation route; automatic modification: modify the specified area, or modify the accident point, or the evacuation radius, and then recalculate the evacuation route; manual modification of the evacuation route and automatic modification of the evacuation route are performed separately.

[0123] Furthermore, the method for automatically merging the generated evacuation routes is as follows:

[0124] When a path Rn is part of multiple evacuation routes, if the evacuation directions of multiple routes are the same at Rn, then Rn is a unidirectional evacuation path (horizontally left, horizontally right, vertically upward, vertically downward, determined after the inclined route is rotated); if the multiple routes have two evacuation directions at Rn, then Rn is a bidirectional evacuation path (horizontally bidirectional, vertically bidirectional, determined after the inclined route is rotated); traverse all evacuation routes to determine whether the evacuation direction of each participating path Rn is unidirectional or bidirectional, and complete the merging of evacuation routes.

[0125] Furthermore, as shown in Figure 16, where S(n) is the evacuation starting point, C(n) is the evacuation control point, and J(n) is the evacuation assembly point, the method for automatically supplementing the unselected evacuation routes is as follows:

[0126] Step 1: Generate an evacuation route from the starting point S to the concentration point J according to the algorithm for generating the optimal evacuation route.

[0127] Step 2: Find all control points C in the area that are not on the evacuation route, that is, obtain all control points that are not on the evacuation route: C1, C5, C8, C9.

[0128] Step 3: As shown in Figure 17, the control points that did not pass through the evacuation route in the second step are used to generate evacuation routes according to the algorithm; among them, the "first step" generates route a: S2-C6-C2-C3-J1, and the "second step" generates route b: C9-S2-C6-C2-C3-J1. Since "route b" completely contains "route a", these two routes can be merged into one route according to actual conditions.

[0129] Step 4: As shown in Figure 18, all evacuation control points are on the evacuation route. Find the routes that have not been generated and use two-way evacuation. The routes that have not been generated are: route (C3, C4) and route (S2, S3).

[0130] In this embodiment, in step S5, based on the obtained optimal evacuation path, key evacuation plan information is automatically generated to obtain an emergency evacuation plan. The method for automatically generating key evacuation plan information includes automatically extracting key information from the evacuation plan configuration and generation process, integrating relevant parameters and naming mapping tables in a data dictionary, and automatically generating key textual description information of the evacuation plan. The key textual description information of the evacuation plan includes the type of accident, the buildings to be evacuated, the evacuation route, and the length of the evacuation route.

[0131] In this embodiment, step S6: intelligently manage and query the emergency evacuation plan, and select a suitable evacuation plan according to the actual situation, including automatic matching of wind speed and direction evacuation plan and automatic matching of area evacuation plan.

[0132] Specifically, the automatic wind speed and direction evacuation plan matching function works as follows: When an incident occurs, the platform automatically matches an evacuation plan that matches the wind speed and direction data collected by meteorological sensors, providing the user with a choice. If wind direction is ineffective, all evacuation plans are loaded, as shown in Figure 19. If wind direction is effective, and the current wind is southeast, the platform automatically matches the southeast wind evacuation plan, as shown in Figure 20.

[0133] Automatically matching regional evacuation plans: When an accident occurs, the location of the accident site is uploaded using the location function of the accident point, and an evacuation plan that matches that area is automatically matched. As shown in Figure 21, when an accident occurs in the ethylbenzene styrene area, the platform can detect the accident based on location and automatically matches an evacuation plan that matches that area.

[0134] Furthermore, the method of the present invention can also be applied to large-scale multi-story complex buildings. The above method is a method for generating an evacuation plan for a single floor. Based on the existing plan, by taking into account the stairs between floors, the automatic generation of evacuation plans for multi-story buildings can be achieved. Therefore, the intelligent automatic and manual creation or modification of evacuation route algorithms for the intelligent emergency evacuation system of large-scale multi-story complex buildings can be implemented by making certain modifications to the algorithm of this patent and are also within the scope of protection of this patent.

[0135] In addition, the present invention is also capable of handling multiple accident points occurring simultaneously. In such cases, evacuation plans tailored to different accident points can be generated simply by modifying the weights of the local paths.

[0136] Example 2

[0137] As shown in FIG22 , the present invention provides an intelligent generation system for emergency evacuation plans, which includes:

[0138] A digital visualization map construction module 10 is used to create a geographic information scene and associate data based on the campus plan map to obtain a digital visualization map. The digital visualization map includes a starting point, a concentration point, a control point, a path, and a building. The building is associated with the path around the building and the starting point.

[0139] The accident perception and configuration module 20 is used to perceive and mark the type, location, severity and impact range of the accident in real time, initialize information configuration for the evacuation plan, mark the location of the accident on the digital visualization map, generate a draggable accident point icon, and associate the accident point icon with the building where the accident occurred;

[0140] An evacuation mode determination module 30 is used to determine an evacuation mode based on the basic data information of the digital visualization map and according to the type, severity and impact range of the accident;

[0141] An evacuation route generation module 40 is configured to automatically or manually create or modify evacuation routes according to the evacuation mode, automatically merge the generated evacuation routes, and automatically supplement the unselected evacuation routes to obtain the optimal evacuation route;

[0142] An evacuation plan generation module 50 is used to automatically generate key information of the evacuation plan based on the optimal evacuation path to obtain an emergency evacuation plan;

[0143] Among them, the starting point is the starting position of the evacuation route of personnel in the park, the concentration point is the end point of the evacuation route of personnel in the park, the control point is the intersection of two or more paths other than the starting point and the concentration point, the path is a line segment connecting two adjacent points among the starting point, the concentration point, and the control point, and the coordinates of the path include at least one of the starting point, the concentration point, and the control point.

[0144] In this embodiment, an intelligent management and query module 60 is also included for intelligently managing and querying emergency evacuation plans and selecting appropriate evacuation plans according to actual conditions, including automatic matching of wind speed and direction evacuation plans and automatic matching of regions evacuation plans.

[0145] In this embodiment, an evacuation plan execution module is also included for executing the obtained emergency evacuation plan. The execution modes of the emergency evacuation plan are: (1) multiple emergency evacuation plans are pre-issued and stored, and then activated and executed uniformly; (2) emergency evacuation plans are generated intelligently in real time and issued and executed in real time.

[0146] An emergency evacuation plan intelligent generation system of the present embodiment is used to implement the aforementioned emergency evacuation plan intelligent generation method. Therefore, the specific implementation methods of the emergency evacuation plan intelligent generation system can be seen in the embodiment part of the emergency evacuation plan intelligent generation method mentioned above. For example, the digital visualization map construction module 10, the accident perception and configuration module 20, the evacuation mode determination module 30, the evacuation path generation module 40, the evacuation plan generation module 50, and the intelligent management and query module 60 are respectively used to implement steps S1, S2, S3, S4, S5, and S6 in the above-mentioned emergency evacuation plan intelligent generation method. Therefore, its specific implementation methods can refer to the descriptions of the corresponding embodiments of each part. In order to avoid redundancy, they will not be repeated here.

[0147] Example 3

[0148] An embodiment of the present invention also provides an electronic device, which includes a processor, a memory and a bus system. The processor and the memory are connected through the bus system. The memory is used to store instructions, and the processor is used to execute the instructions stored in the memory to implement the above-mentioned method for intelligently generating emergency evacuation plans.

[0149] Example 4

[0150] An embodiment of the present invention further provides a computer storage medium storing a computer software product. The computer software product includes several instructions for enabling a computer device to execute the above-mentioned method for intelligently generating an emergency evacuation plan.

[0151] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0152] The present application is described with reference to the flow chart and / or block diagram of the method, device (system), and computer program product according to the embodiment of the present application. It should be understood that each flow process and / or box in the flow chart and / or block diagram and the combination of the flow process and / or box in the flow chart and / or block diagram can be realized by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processing machine or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device produce a device for realizing the function specified in one flow chart flow or multiple flows and / or one box or multiple boxes of the block diagram.

[0153] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device that implements the functions specified in one or more processes of the flowchart and / or one or more blocks of the block diagram. These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes of the flowchart and / or one or more blocks of the block diagram.

[0154] Obviously, the above embodiments are merely examples for clarity of explanation and are not intended to limit the implementation methods. Those skilled in the art will appreciate that other variations or modifications can be made based on the above description. It is not necessary and impossible to enumerate all implementation methods here. Obvious variations or modifications arising therefrom remain within the scope of protection of the present invention.

Claims

1. A method for intelligently generating an emergency evacuation plan, characterized in that: include: Step S1: Based on the park plan map, geographic information scene creation and data association are performed to obtain a digital visualization map, wherein the digital visualization map includes a starting point, a concentration point, a control point, a path, and a building, wherein the building and the path around the building and the starting point are mutually associated; Step S2: Real-time perception and annotation of the type, location, severity and impact range of the accident, initialization information configuration of the evacuation plan, marking the location of the accident on the digital visualization map, generating a draggable accident point icon, and associating the accident point icon with the building where the accident occurred; Step S3: Based on the basic data information of the digital visualization map, determine the evacuation mode according to the type, severity and impact range of the accident; Step S4: according to the evacuation mode, automatically or manually create or modify the evacuation routes, automatically merge the generated evacuation routes, and automatically supplement the unselected evacuation routes to obtain the optimal evacuation path; Step S5: According to the optimal evacuation path, key information of the evacuation plan is automatically generated to obtain an emergency evacuation plan; Among them, the starting point is the starting position of the evacuation route for personnel in the park, the concentration point is the end point of the evacuation route for personnel in the park, the control point is the intersection of two or more paths other than the starting point and the concentration point, the path is a line segment connected by two adjacent points among the starting point, the concentration point and the control point, and the coordinates of the path include at least one of the starting point, the concentration point and the control point.

2. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: The method also includes step S6: intelligently managing and querying the emergency evacuation plan, and selecting a suitable evacuation plan according to the actual situation, including an evacuation plan automatically matching the wind speed and direction and an evacuation plan automatically matching the area.

3. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S1, based on the park plan map, geographic information scene creation and data association are performed to obtain a method for obtaining a digital visualization map, specifically including: Regional data creation: Based on the park plan map, basic static data is constructed, and the basic static data includes a starting point, a concentration point, a control point, and a path; Scene image drawing: Based on the starting point, the center point and the control point, a path weighted undirected graph is constructed with the length of the path as the weight; Scene data association: Based on the path weighted undirected graph, the building data in the park is constructed, and the building data is associated with the path and starting point around the building to obtain the associated path and associated starting point of the building; Equipment geo-positioning: Based on the associated path, the evacuation indication equipment is evenly distributed on the path to obtain a digital visualization map; according to the actual location of the meteorological monitoring equipment, it is marked on the digital visualization map, and the location information of the broadcasting equipment and the outdoor display screen equipment is correlated with at least one of the building data and the starting point associated with the building.

4. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S2, the method for initializing information configuration for the evacuation plan is: Enter the name of the evacuation plan, enter the description text of the evacuation plan, select the evacuation mode, select the enable status of the meteorological environment monitoring equipment, broadcasting equipment, and outdoor display equipment, select the accident level, and enter the wind speed to select the wind direction.

5. The method for intelligently generating an emergency evacuation plan according to claim 4, characterized in that: The evacuation modes include: a global evacuation mode, a designated facility evacuation mode, a designated radius evacuation mode and a wind direction angle evacuation mode.

6. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S3, the method for determining the evacuation mode according to the type, severity and impact range of the accident is: When the accident affects the entire area, the evacuation mode is determined to be the global evacuation mode; when the accident only affects the building where it is located, the evacuation mode is determined to be the designated facility evacuation mode; when the accident only affects buildings within a certain range, the evacuation mode is determined to be the designated evacuation radius evacuation mode; when the accident type is confirmed to be a toxic gas leak and the wind direction data collected by the meteorological monitoring equipment exceeds the specified threshold, and the accident has an impact on the building downwind, the evacuation mode is determined to be the wind direction angle evacuation mode.

7. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S4, the method for automatically creating an evacuation route is: Step 1: Read all paths and path weight information in the area; Step 2: According to the type, location, severity, impact range and determined evacuation mode of the accident, find the set of all starting points S and the set of concentration points J in the whole area; Step 3: Encapsulate the two-dimensional matrix array of the relationship between each evacuation point according to the above two steps; Step 4: According to the Dijkstra algorithm, the shortest distance from each starting point S(i) to all concentrated points J(n) is obtained, and then the shortest route L from the starting point S(i) to each concentrated point J(n) is compared to find the optimal evacuation path from the starting point to a certain concentrated point.

8. The method for intelligently generating an emergency evacuation plan according to claim 7, characterized in that: Assign weights to the paths bound to the area according to the severity of the accident or manually assign weights to the paths bound to the area.

9. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S4, the method for manually creating an evacuation route is: First, the starting point associated with the building affected by the accident is intelligently identified based on the accident point and accident type, and the starting point is used as the starting point for manually creating an evacuation route, and the starting points associated with the buildings not affected by the accident point are automatically disabled; Then manually click each control point, starting point or concentration point. Each time you click, only the adjacent points of the current point are displayed for selection to avoid skipping and omissions, and generate a set of points arranged in sequence as an evacuation path; finally, multiple evacuation paths are obtained by drawing multiple times.

10. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S4, the method for automatically merging the generated evacuation routes is: When a path Rn is a component of multiple evacuation routes, if the evacuation directions of multiple routes are the same at Rn, then Rn is a unidirectional evacuation path; if multiple routes have two evacuation directions at Rn, then Rn is a bidirectional evacuation path; traverse all evacuation routes to obtain whether the evacuation direction of each path Rn participating in the evacuation is unidirectional or bidirectional, and complete the merging of evacuation routes.

11. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S4, the method for automatically supplementing the unselected evacuation routes is: Step 1: Generate an evacuation route from the starting point to the concentration point according to the algorithm for generating the optimal evacuation route; Step 2: Find all control points in the area that are not on the evacuation route, that is, get all control points that do not pass through the evacuation route; Step 3: Generate an evacuation route according to the algorithm for the control points that did not pass through the evacuation route in the second step; Step 4: All evacuation points are on the evacuation routes. Find out the routes that have not been generated for evacuation and use two-way evacuation.

12. The method for intelligently generating an emergency evacuation plan according to claim 1, characterized in that: In step S5, the method for automatically generating key information of the evacuation plan is: Automatically extract key information in the process of evacuation plan configuration and generation, and integrate relevant Parameter and naming mapping table to automatically generate key text description information of the evacuation plan.

13. The method for intelligently generating an emergency evacuation plan according to claim 12, characterized in that: The key text description information of the evacuation plan includes the type of accident, the buildings to be evacuated, the evacuation route and the length of the evacuation route.

14. An intelligent generation system for emergency evacuation plans, characterized in that: The system is used to implement the intelligent generation method of emergency evacuation plan according to any one of claims 1 to 13, comprising: A digital visualization map construction module is used to create a geographic information scene and associate data based on the park plan map to obtain a digital visualization map, wherein the digital visualization map includes a starting point, a concentration point, a control point, a path, and a building, wherein the building is associated with the path around the building and the starting point; An accident perception and configuration module is used to perceive and mark the type, location, severity and impact range of the accident in real time, perform initial information configuration on the evacuation plan, mark the location of the accident on the digital visualization map, generate a draggable accident point icon, and associate the accident point icon with the building where the accident occurred; An evacuation mode determination module is used to determine the evacuation mode based on the basic data information of the digital visualization map and according to the type, severity and impact range of the accident; An evacuation route generation module is used to automatically or manually create or modify evacuation routes according to the evacuation mode, automatically merge the generated evacuation routes, and automatically supplement the unselected evacuation routes to obtain the optimal evacuation route; An evacuation plan generation module is used to automatically generate key information of the evacuation plan based on the optimal evacuation path to obtain an emergency evacuation plan; The starting point is the starting position of the evacuation route of personnel in the park, the concentration point is the end point of the evacuation route of personnel in the park, and the control point is the two points other than the starting point and the concentration point. The intersection of the above paths, the path is a line segment formed by connecting two adjacent points among the starting point, the centering point and the control point, and the coordinates of the path include at least one of the starting point, the centering point and the control point.

15. The intelligent generation system for emergency evacuation plan according to claim 14, characterized in that: It also includes an intelligent management and query module for intelligent management and query of emergency evacuation plans, and selection of appropriate evacuation plans based on actual conditions, including automatic matching of evacuation plans with wind speed and direction and automatic matching of evacuation plans with regions.

16. The intelligent generation system for emergency evacuation plan according to claim 14, characterized in that: It also includes an evacuation plan execution module, which is used to execute the obtained emergency evacuation plan.

17. The intelligent generation system for emergency evacuation plan according to claim 16, characterized in that: The execution modes of the emergency evacuation plan include: Mode 1: multiple emergency evacuation plans are pre-issued and stored, and activated and executed uniformly; Mode 2: emergency evacuation plans are intelligently generated in real time and issued and executed in real time.

18. An electronic device, characterized in that: The electronic device includes a processor, a memory and a bus system, the processor and the memory are connected through the bus system, the memory is used to store instructions, and the processor is used to execute the instructions stored in the memory to implement the intelligent generation method of emergency evacuation plan according to any one of claims 1 to 13.

19. A computer storage medium, characterized in that: The computer storage medium stores a computer software product, and the computer software product includes several instructions for enabling a computer device to execute the method for intelligently generating an emergency evacuation plan as described in any one of claims 1 to 13.

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