An information management system for subway operation emergency plan
By designing the subway operation emergency plan information management system, using support vector machine models and real-time flooding information, the problem of poor subway operation emergency plan treatment in extreme heavy rainfall situations is solved, and safer and more efficient subway operation is achieved.
Patent Information
- Application Number
- CN202210140027.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-02-16
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2042-02-16
AI Technical Summary
In the prior art, subway operations have poor emergency plans for extreme heavy rainfall, which may cause subway trains to be suspended and affect transportation capacity.
Design a subway operation emergency plan information management system, including a heavy rain warning information acquisition module, a urban hydrological database and an emergency plan initial judgment module, and use a subway operation safety evaluation model based on the support vector machine to determine the initial operation strategy based on the heavy rain warning information and historical hydrological data, and adjust the secondary operation strategy through the actual waterlogging information acquisition module and the emergency plan secondary judgment module.
In the case of heavy rain, subway operation safety evaluation is carried out based on real-time data and historical data, reasonable operation strategies are determined, major casualties are avoided, and the effectiveness of emergency plan handling is improved.
Smart Images
Figure CN114492200B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of disaster emergency management, and in particular to an information management system for subway operation emergency plans. Background Art
[0002] In the case of extremely heavy rainfall, urban areas are prone to serious waterlogging, causing water to flow into subway stations, which may cause subway trains to stop operating in tunnels on certain sections. Therefore, in the prior art, the subway operation emergency plan is not very effective in dealing with disasters such as extremely heavy rainfall. Summary of the invention
[0003] In view of the shortcomings of the prior art, the present invention proposes a subway operation emergency plan information management system to solve the technical problem in the prior art that the subway operation has a poor processing effect on the disaster emergency plan.
[0004] The technical solution adopted in the present invention is as follows
[0005] In the first aspect, a subway operation emergency plan information management system is provided, comprising:
[0006] A rainstorm warning information acquisition module is used to obtain rainstorm warning information;
[0007] Urban hydrological database, which stores historical hydrological data of various areas in the city;
[0008] The initial judgment module of the emergency plan evaluates the safety of subway operation according to the rainstorm warning information and the historical hydrological data of various areas in the city, using the subway operation safety evaluation model based on support vector machine; according to the subway operation safety evaluation results, the initial operation strategy of the subway during the rainstorm warning period is determined.
[0009] Furthermore, the historical hydrological data include historical rainfall, locations of historical waterlogging points, and depths of water accumulation at historical waterlogging points.
[0010] Furthermore, the method for constructing a subway operation safety evaluation model based on support vector machine includes:
[0011] S1. According to the historical rainstorm warning information and the corresponding historical rainfall, historical waterlogging point location, and historical waterlogging point water depth, a data sample set is constructed to obtain a training set and a validation set;
[0012] S2, using a multi-classification support vector machine based on the training set to divide the subway operation safety evaluation hyperplane;
[0013] S3, classify and fit the training set according to the subway operation safety evaluation hyperplane to obtain the subway operation safety evaluation result;
[0014] S4. Verify the subway operation safety evaluation results according to the verification set and obtain a subway operation safety evaluation model based on support vector machine.
[0015] Furthermore, the hyperplanes are divided based on training data samples including historical rainstorm warning information and the corresponding historical rainfall, historical waterlogging point locations, and historical waterlogging point water depths; multiple hyperplanes are divided based on the distance of the historical waterlogging point locations from the subway entrances and the historical waterlogging point water depths.
[0016] Furthermore, when dividing the hyperplane, the distance threshold of the historical waterlogging point location from the subway entrance is 50 meters, and the water depth threshold of the historical waterlogging point location is 1 meter.
[0017] Furthermore, the results of the subway operation safety evaluation include: safe, dangerous, and catastrophic;
[0018] When the distance between the historical waterlogging point and the subway entrance is greater than the distance threshold of 50 meters, the evaluation result is safe;
[0019] When the distance between the historical waterlogging point and the subway entrance is less than the distance threshold of 50 meters, but the water depth of the historical waterlogging point is less than the water depth threshold of 1 meter, the evaluation result is dangerous;
[0020] When the location of the historical waterlogging point is less than the distance threshold of 50 meters from the subway entrance, and the water depth of the historical waterlogging point is greater than the water depth threshold of 1 meter, the evaluation result is catastrophic.
[0021] Furthermore, the initial operation strategy of the subway includes:
[0022] The evaluation results show that the subway operation in the area with safety and danger;
[0023] The evaluation result was catastrophic and the regional subway stopped operating.
[0024] Furthermore, the subway operation emergency plan information management system also includes:
[0025] Actual waterlogging information acquisition module: used to obtain the actual location of waterlogging points and the actual depth of waterlogging points in the city during heavy rain;
[0026] The secondary judgment module of the emergency plan determines the secondary operation strategy of the subway during the rainstorm period based on the actual location of the waterlogging point, the actual water depth of the waterlogging point, and the distance threshold and water depth threshold.
[0027] Furthermore, the secondary operation strategy of the subway includes: when the actual location of the waterlogging point is less than a distance threshold of 50 meters from the subway entrance, and the actual water depth of the waterlogging point is greater than a water depth threshold of 1 meter, the subway station staff will stop operating on their own.
[0028] In a second aspect, an electronic device is provided, including:
[0029] one or more processors;
[0030] A storage device for storing one or more programs;
[0031] When one or more programs are executed by one or more processors, the one or more processors run the subway operation emergency plan information management system provided by the first aspect.
[0032] It can be seen from the above technical solution that the beneficial technical effects of the present invention are as follows:
[0033] Combined with the rainstorm warning information, the initial operation strategy of the subway during the rainstorm warning period can be determined. The subway will be operated in areas where the safety evaluation results of subway operation are safe and dangerous, and the subway will be stopped in areas where the evaluation results are catastrophic. Then, during the actual rainstorm, the actual waterlogging information around the subway station is obtained. According to the actual location of the waterlogging point and the actual waterlogging depth, combined with the distance threshold and the water depth threshold, the secondary operation strategy of the subway during the rainstorm period is determined to realize the information-based linkage management of the subway operation emergency plan and avoid major casualties. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the prior art description. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.
[0035] Figure 1 A schematic diagram of the system architecture of an embodiment of the present invention;
[0036] Figure 2 Schematic diagram of a method for constructing a subway operation safety evaluation model according to an embodiment of the present invention. DETAILED DESCRIPTION
[0037] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.
[0038] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the present invention belongs.
[0039] Example
[0040] This embodiment provides a subway operation emergency plan information management system, such as Figure 1 As shown, including:
[0041] The rainstorm warning information acquisition module is used to obtain the rainstorm warning information issued by the meteorological bureau and transmit it to the emergency plan initial judgment module. In a specific implementation, the rainstorm warning information issued by the meteorological bureau will be published on the Internet. The rainstorm weather warning information receiving module uses a web crawler in the prior art to capture the rainstorm warning information on the Internet and transmit the rainstorm warning information to the emergency plan initial judgment module.
[0042] The urban hydrological database stores historical hydrological data of various areas of the city, including historical rainfall, historical waterlogging point locations, and historical waterlogging point water depths. In a specific implementation, the urban hydrological database may use MySQL.
[0043] The initial judgment module of the emergency plan evaluates the safety of subway operation according to the rainstorm warning information and the historical hydrological data of various areas in the city, using the subway operation safety evaluation model based on support vector machine; according to the subway operation safety evaluation results, the initial operation strategy of the subway during the rainstorm warning period is determined.
[0044] Specifically, the emergency plan initial judgment module is respectively connected to the rainstorm meteorological warning information acquisition module and the urban hydrological database, receives the rainstorm warning information transmitted by the rainstorm meteorological warning information acquisition module, and reads the historical hydrological data of various areas of the city in the urban hydrological database.
[0045] The subway operation safety evaluation model is constructed in the following way:
[0046] S1. Based on the historical rainstorm warning information and the corresponding historical rainfall, historical waterlogging point locations, and historical waterlogging point water depth, a data sample set is constructed to obtain a training set and a validation set.
[0047] In a specific implementation, historical rainstorm warning information is obtained through historical data released by the Meteorological Bureau on the Internet. Each piece of historical rainstorm warning information has corresponding historical rainfall, historical waterlogging point location, and historical waterlogging point water depth. Each piece of historical rainstorm warning information and the corresponding historical rainfall, historical waterlogging point location, and historical waterlogging point water depth are used as an array and defined as a training data sample. Preferably, the data ratio of the training set and the validation set is 7:3.
[0048] S2. Use multi-classification support vector machine based on the training set to divide the subway operation safety evaluation hyperplane
[0049] Multi-classification support vector machines can achieve the effect of classifying and predicting data by finding the partitioning hyperplane that correctly separates the training data samples.
[0050] In this embodiment, the classification decision function of the multi-classification support vector machine is as follows:
[0051] f(x)=sgn(ω T x+b) (1)
[0052] In the above formula (1), ω is the slope, T is the training set, and b is the intercept.
[0053] The expression of the subway operation safety status evaluation hyperplane is as follows:
[0054] ω *T x+b * =0 (2)
[0055] In the above formula (2), ω * represents the optimal solution for the slope, b * represents the optimal solution for the intercept.
[0056] Specifically, the division of the subway operation safety status evaluation hyperplane is based on the training data samples including the historical rainstorm warning information and the corresponding historical rainfall, the location of the historical waterlogging point, and the depth of waterlogging at the historical waterlogging point. According to the distance of the historical waterlogging point from the subway entrance and the depth of waterlogging at the historical waterlogging point, multiple hyperplanes are divided. Preferably, the distance threshold is 50 meters and the water depth threshold is 1 meter.
[0057] S3. Classify and fit the training set according to the subway operation safety evaluation hyperplane to obtain the subway operation safety evaluation results
[0058] In this embodiment, according to the subway operation safety evaluation hyperplane, the sample data in the training set can be classified and fitted to obtain three subway operation safety status evaluation results for subway operation safety evaluation, namely: safe, dangerous, and catastrophic. When the distance between the historical waterlogging point and the subway entrance is greater than the distance threshold of 50 meters, the evaluation result is safe; when the distance between the historical waterlogging point and the subway entrance is less than the distance threshold of 50 meters, but the water depth of the historical waterlogging point is less than the water depth threshold of 1 meter, the evaluation result is dangerous; when the distance between the historical waterlogging point and the subway entrance is less than the distance threshold of 50 meters, and the water depth of the historical waterlogging point is greater than the water depth threshold of 1 meter, the evaluation result is catastrophic.
[0059] Since there are three categories of evaluation results, a conventional binary classification support vector machine cannot be used, but a multi-classification support vector machine provided in this embodiment needs to be used.
[0060] S4. Verify the subway operation safety evaluation results according to the verification set and obtain a subway operation safety evaluation model based on support vector machine.
[0061] For the subway operation safety evaluation model, since its training sample is an array, which contains historical rainstorm warning information, the trained subway operation safety evaluation model can be used to determine which subway entrances in the urban area will have operation safety hazards under a certain rainstorm warning information. The operation safety hazards include dangerous and catastrophic.
[0062] The initial judgment module of the emergency plan determines the initial operation strategy of the subway during the rainstorm warning period based on the evaluation results of subway operation safety. Specifically, the subway will operate in areas with safe and dangerous evaluation results, and will stop operating in areas with catastrophic evaluation results. For areas with dangerous evaluation results, the reason why the subway's initial operation strategy is configured as subway operation is to take into account the error of meteorological warnings. While avoiding the risk of subway operation, it is also necessary to consider that too many subway suspension areas will affect the load of urban transportation capacity. Even if the subway should be suspended in areas with dangerous evaluation results after actual rainfall, it can be promptly compensated in the future through the secondary judgment of the emergency plan.
[0063] Actual waterlogging information acquisition module; used to obtain the actual location of waterlogging points and the actual depth of water in waterlogging points in the city during heavy rain. In a specific implementation, the actual location of waterlogging points and the actual depth of water in waterlogging points in the city during heavy rain can be obtained through video surveillance and manual on-site confirmation. Specifically, the staff of each subway station can intuitively see whether there is water accumulation within the distance threshold near the subway entrance through the video surveillance equipment installed at the subway entrance of the subway station. When water accumulation occurs, the staff will walk to the water accumulation site to measure on-site and determine the actual depth of water accumulation at the waterlogging point; then the data of the actual location of the waterlogging point and the depth of water accumulation are input into the secondary judgment module of the emergency plan.
[0064] The secondary judgment module of the emergency plan determines the secondary operation strategy of the subway during the rainstorm period according to the actual location of the waterlogging point, the actual waterlogging depth, the distance threshold and the water depth threshold. Specifically, when the actual waterlogging point is less than the distance threshold of 50 meters from the subway entrance, and the actual waterlogging depth is greater than the water depth threshold of 1 meter, the secondary operation strategy of the subway station is to stop operation. According to the secondary operation strategy of the subway, the staff of the subway station can determine that the subway station will stop operating without waiting for a reply from the superior.
[0065] By adopting the technical solution of this embodiment, the initial operation strategy of the subway during the rainstorm warning period can be determined in combination with the rainstorm warning information. The subway will be operated in areas where the safety evaluation result of the subway operation is safe or dangerous, and the subway will be stopped in areas where the evaluation result is catastrophic. Then, during the actual rainstorm, the actual waterlogging information around the subway station is obtained, and the secondary operation strategy of the subway during the rainstorm period is determined based on the actual location of the waterlogging point and the actual waterlogging depth, combined with the distance threshold and the water depth threshold, to achieve the information-based linkage management of the subway operation emergency plan and avoid major casualties.
[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.
Claims
1. A subway operation emergency plan information management system, characterized in that: include: A rainstorm warning information acquisition module is used to obtain rainstorm warning information; Urban hydrological database, which stores historical hydrological data of various areas in the city; The initial judgment module of the emergency plan uses the subway operation safety evaluation model based on support vector machines to predict the distance between the historical waterlogging point and the subway entrance, as well as the depth of waterlogging at the historical waterlogging point, based on the rainstorm warning information and the historical hydrological data of various areas in the city. The subway operation safety is evaluated based on the distance between the historical waterlogging point and the subway entrance, as well as the depth of waterlogging at the historical waterlogging point. According to the subway operation safety evaluation results, which include: safe, dangerous, and catastrophic, determine the initial subway operation strategy within the rainstorm warning period; the initial subway operation strategy includes: operating the subway in areas where the evaluation results are safe and dangerous; and stopping the subway in areas where the evaluation results are catastrophic; Actual waterlogging information acquisition module: used to obtain the actual location of waterlogging points and the actual depth of waterlogging points in the city during heavy rain; The secondary judgment module of the emergency plan determines the secondary operation strategy of the subway during the rainstorm period according to the actual location of the waterlogging point, the actual depth of water accumulation at the waterlogging point, combined with the distance threshold and the water accumulation depth threshold; the secondary operation strategy of the subway includes: when the actual location of the waterlogging point is less than the distance threshold from the subway entrance, and the actual depth of water accumulation at the waterlogging point is greater than the water accumulation depth threshold, the subway station staff will stop operating on their own.
2. The subway operation emergency plan information management system according to claim 1 is characterized in that: The historical hydrological data include historical rainfall, locations of historical waterlogging points, and water accumulation depths at historical waterlogging points.
3. The subway operation emergency plan information management system according to claim 2 is characterized in that: The method for constructing a subway operation safety evaluation model based on support vector machine includes: S1. According to the historical rainstorm warning information and the corresponding historical rainfall, historical waterlogging point location, and historical waterlogging point water depth, a data sample set is constructed to obtain a training set and a validation set; S2, using a multi-classification support vector machine based on the training set to divide the subway operation safety evaluation hyperplane; S3, classify and fit the training set according to the subway operation safety evaluation hyperplane to obtain the subway operation safety evaluation result; S4. Verify the subway operation safety evaluation results according to the verification set and obtain a subway operation safety evaluation model based on support vector machine.
4. The subway operation emergency plan information management system according to claim 3 is characterized in that: The basis for dividing the hyperplane is training data samples including historical rainstorm warning information and the corresponding historical rainfall, historical waterlogging point locations, and historical waterlogging point water depths; multiple hyperplanes are divided according to the distance of the historical waterlogging point locations from the subway entrances and the historical waterlogging point water depths.
5. The subway operation emergency plan information management system according to claim 4 is characterized in that: When dividing the hyperplane, the distance threshold of the historical waterlogging point location from the subway entrance is 50 meters, and the water depth threshold of the historical waterlogging point location is 1 meter.
6. The subway operation emergency plan information management system according to claim 1 is characterized in that: The determination method of subway operation safety evaluation results is as follows: When the distance between the historical waterlogging point and the subway entrance is greater than the distance threshold of 50 meters, the evaluation result is safe; When the distance between the historical waterlogging point and the subway entrance is less than the distance threshold of 50 meters, but the water depth of the historical waterlogging point is less than the water depth threshold of 1 meter, the evaluation result is dangerous; When the location of the historical waterlogging point is less than the distance threshold of 50 meters from the subway entrance, and the water depth of the historical waterlogging point is greater than the water depth threshold of 1 meter, the evaluation result is catastrophic.
7. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors run the subway operation emergency plan information management system described in any one of claims 1-6.
Citation Information
Patent Citations
Urban inland inundation early warning method based on SVM algorithm
CN112528563A