Integrated emergency control method and system based on industrial Internet

Abstract

The present invention provides an integrated emergency management and control method and system based on the industrial Internet, which relates to the field of data processing technology. The method includes: based on the industrial Internet, obtaining map information of the target area; obtaining a rescue location information set in the map information; obtaining a material point information set; constructing and obtaining multiple rescue route information according to the map information and the rescue location information set, obtaining a rescue route information set; obtaining a material route information set according to the map information and the material point information set; combining the rescue route information set and the material route information set to obtain an emergency management and control plan set; optimizing to obtain the optimal emergency management and control plan, and performing integrated emergency management and control. The technical problem that the rescue route and the material route are unreasonable, resulting in low emergency management and control efficiency, is solved, and the technical effect of accurately matching the rescue location and the material point, optimizing the rescue route and the material route, and improving the efficiency of emergency management and control is achieved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to an integrated emergency management and control method and system based on industrial Internet. Background Art

[0002] The Industrial Internet integrates industrial automation infrastructure through 5G high-speed communication technology, combines human-machine interconnection, and builds an industrial chain covering the industry. At this stage, the immediacy of emergency control is constantly improving, but there are still unreasonable phenomena in emergency control. For example, the setting of rescue sites and rescue material points is unreasonable, which makes the actual processing efficiency of emergency control unable to meet the requirements of rescue tasks. After emergencies such as earthquakes, mudslides, and floods, it is impossible to reasonably control the time consumption for the proper resettlement of a large number of people in the emergency control area.

[0003] There are technical problems in the existing technology that rescue routes and material routes are unreasonable, resulting in low efficiency of emergency management and control. Summary of the invention

[0004] This application provides an integrated emergency management and control method and system based on the industrial Internet, which solves the technical problem of unreasonable rescue routes and material routes, resulting in low emergency management efficiency. It achieves the technical effect of accurately matching rescue locations and material points, optimizing rescue routes and material routes, and improving emergency management efficiency.

[0005] In view of the above problems, the present application provides an integrated emergency management and control method and system based on the Industrial Internet.

[0006] In the first aspect, the present application provides an integrated emergency management and control method based on the industrial Internet, wherein the method includes: based on the industrial Internet, collecting and acquiring map information of a target area, wherein the target area is an area where an emergency occurs and emergency management and control is required; in the map information, determining multiple rescue location information and obtaining a rescue location information set; according to the rescue location information set and the map information, determining multiple material point information and obtaining a material point information set; according to the map information and the rescue location information set, constructing and obtaining multiple rescue route information and obtaining a rescue route information set; according to the map information and the material point information set, constructing and obtaining multiple material route information and obtaining a material route information set; combining the rescue route information set and the material route information set to obtain an emergency management and control plan set; optimizing in the emergency management and control plan set to obtain the optimal emergency management and control plan, and performing integrated emergency management and control.

[0007] In the second aspect, the present application provides an integrated emergency management and control system based on the industrial Internet, wherein the system includes: an information collection unit, the information collection unit is used to collect and obtain map information of a target area based on the industrial Internet, wherein the target area is an area where an emergency occurs and emergency management and control is required; an information determination unit, the information determination unit is used to determine multiple rescue location information in the map information and obtain a rescue location information set; a material point determination unit, the material point determination unit is used to determine multiple material point information according to the rescue location information set and the map information, and obtain a material point information set; a route construction unit, the route construction unit is used to construct and obtain multiple rescue route information according to the map information and the rescue location information set, and obtain a rescue route information set; a route information acquisition unit, the route information acquisition unit is used to construct and obtain multiple material route information according to the map information and the material point information set, and obtain a material route information set; a control plan acquisition unit, the control plan acquisition unit is used to combine the rescue route information set and the material route information set to obtain an emergency control plan set; an emergency control unit, the emergency control unit is used to optimize in the emergency control plan set, obtain the optimal emergency control plan, and perform integrated emergency control.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0009] Due to the adoption of the industrial Internet-based system, the map information of the target area is obtained; in the map information, a rescue location information set is obtained; a material point information set is obtained; based on the map information and the rescue location information set, multiple rescue route information is constructed to obtain a rescue route information set; based on the map information and the material point information set, a material route information set is obtained; the rescue route information set and the material route information set are combined to obtain an emergency management and control plan set; optimization is performed to obtain the optimal emergency management and control plan, and integrated emergency management and control is performed. The embodiment of the present application achieves the technical effect of accurately matching rescue locations and material points, optimizing rescue routes and material routes, and improving the efficiency of emergency management and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 A flowchart of an integrated emergency management and control method based on the industrial Internet is provided for this application;

[0011] Figure 2 A flowchart of obtaining an optimal emergency control plan for an integrated emergency control method based on the industrial Internet is provided for this application;

[0012] Figure 3A schematic diagram of a process for obtaining a first fitness level in an integrated emergency management and control method based on the industrial Internet for this application;

[0013] Figure 4 This application provides a structural diagram of an integrated emergency management and control system based on the Industrial Internet.

[0014] Explanation of the accompanying drawings: information collection unit 11, information determination unit 12, material point determination unit 13, route construction unit 14, route information acquisition unit 15, management and control plan acquisition unit 16, emergency management and control unit 17. DETAILED DESCRIPTION

[0015] This application provides an integrated emergency management and control method and system based on the industrial Internet, which solves the technical problem of unreasonable rescue routes and material routes, resulting in low emergency management efficiency. It achieves the technical effect of accurately matching rescue locations and material points, optimizing rescue routes and material routes, and improving emergency management efficiency.

[0016] Embodiment 1

[0017] like Figure 1 As shown, the present application provides an integrated emergency management and control method based on the industrial Internet, wherein the method includes:

[0018] S100: Based on the industrial Internet, map information of a target area is collected and obtained, wherein the target area is an area where an emergency occurs and emergency control is required;

[0019] Furthermore, the acquisition of map information of the target area, step S100 further includes:

[0020] S110: Based on the industrial Internet, using a drone to collect and obtain elevation data of the target area;

[0021] S120: Modeling is performed using the elevation data to obtain a three-dimensional stereogram of the target area;

[0022] S130: Using the three-dimensional image as the map information.

[0023] Specifically, the target area is an area where emergency situations occur and emergency control is required. The emergency situation can be an area of ​​emergency control caused by irresistible natural disasters such as earthquakes, floods, mudslides, etc., or it can be an area of ​​emergency control caused by other emergency situations. No restrictive description is given to the emergency situation. The area of ​​the emergency control area is consistent with the disaster-stricken area corresponding to the emergency situation. Based on the industrial Internet, data collection is performed to obtain map information of the target area. The map information includes but is not limited to the area information of the target area and the actual passability information of the roads in the target area, providing a data basis for subsequent data analysis.

[0024] Specifically, the flight altitude of the UAV corresponds to the altitude of the target area. In order to ensure the reliability of the data information collected by the UAV, the flight altitude of the UAV should be limited. The elevation data of the target area is acquired based on the UAV connected to the industrial Internet wireless communication. The elevation data is the data information corresponding to the DEM (Digital Elevation Model). The elevation data includes relevant parameter indicators such as slope, slope direction, and slope change rate. The elevation data is used for modeling and restoration through three-dimensional modeling software to obtain a three-dimensional stereogram of the target area. The three-dimensional stereogram is used as the map information, and combined with data acquisition devices such as UAVs to collect data information of the target area, so as to provide technical support for ensuring the reliability of the data information.

[0025] S200: determining a plurality of rescue location information in the map information, and obtaining a rescue location information set;

[0026] S300: determining a plurality of material point information according to the rescue location information set and the map information, and obtaining a material point information set;

[0027] Specifically, the multiple rescue location information is the multiple location information in the map information where rescue services need to be provided, and the location information is the latitude and longitude information of the multiple rescue locations. Through the multiple rescue location information, the locations of the multiple rescue location information can be uniquely determined. In the map information, based on the multiple rescue location information, a rescue location information set is constructed. The elements of the rescue location information set, namely the multiple rescue location information, are determined according to the distribution information of the rescue location information set in the map information. The multiple material point information is used to provide material support for the multiple rescue locations. The material point information includes but is not limited to material point scale information, material point supply type information, and material point location information. The material point scale information corresponds to the material storage volume of the material point. The material point supply type information includes food materials, medical materials and other related material types. Based on the multiple material point information, a material point information set is constructed. The elements of the material point information set, namely the multiple material point information, are combined with actual data information to provide a sufficient data basis for subsequent data analysis and processing.

[0028] Furthermore, the step S300 further comprises: determining a plurality of material point information according to the rescue location information set and the map information;

[0029] S310: Obtaining a preset range;

[0030] S320: using the preset range, dividing the perimeters of the plurality of rescue location information in the map information into ranges to obtain a plurality of preliminary selection ranges;

[0031] S330: According to the map information, select and obtain the plurality of material point information within the plurality of preliminary selection ranges.

[0032] Specifically, the preset range is a user-defined parameter indicator information, and the preset range can be set to no more than 5km. Specifically, it can be further optimized in combination with the map information. Based on the preset range, the periphery of the multiple rescue location information is divided into ranges in the map information to obtain multiple preliminary ranges. The preliminary range is the range within 5km in diameter of the rescue location. The multiple preliminary ranges correspond one-to-one to the multiple rescue location information. Based on the map information, the multiple material point information is selected within the multiple preliminary ranges. The selection can be defined as the intersection of the multiple preliminary ranges and the flat location. The material points within the intersection can provide materials for at least two rescue locations at the same time if the material reserves are sufficient. The flat location can facilitate the storage of materials. The setting of the material points is optimized in combination with the preset range, which ensures the rationality of the setting of the multiple material point information and provides convenience for the subsequent supply of materials.

[0033] S400: constructing and obtaining a plurality of rescue route information according to the map information and the rescue location information set, and obtaining a rescue route information set;

[0034] S500: constructing and obtaining a plurality of material route information according to the map information and the material point information set, and obtaining a material route information set;

[0035] Specifically, in order to ensure the implementation of the rescue mission, it is necessary to carry out carpet-style rescue. Based on the map information, a variety of rescue route information is constructed through a rescue location information set. The starting point of the multiple rescue route information is any location in the target area, and the end point of the rescue route information is the multiple rescue location information. Through the multiple rescue route information, a rescue route information set is obtained. There is a mapping relationship between the rescue route information set and the rescue location information set. For example, the nearest rescue location A for rescue objects A and B, the nearest rescue location B for rescue object C, the rescue routes of A and B are multiple routes from the discovery point to the A rescue location, and the rescue route of C is from the discovery point to the B rescue location. There are multiple routes to the rescue locations, and there is a mapping relationship between rescue objects A and B and rescue location A, and there is a mapping relationship between rescue object C and rescue location B. Based on the map information, a variety of material route information is obtained through the material point information set, and a material route information set is constructed. The starting point of the multiple material route information is any material supply point outside the target area, and the end point of the multiple material route information is the multiple material point information. There is a mapping relationship between the material route information set and the material point information set, and the mapping relationship corresponds to the circulation of materials. The rescue route information set and the material route information set are constructed to provide data support for emergency management and control to ensure management efficiency.

[0036] Distinctive explanation: During the rescue process, in order to ensure timely rescue, the rescued objects need to be preferentially sent to the nearest rescue point. During the material supply stage, the material reserve status of the material point needs to be given priority. The mapping relationship between the material route information set and the material point information set corresponds to the flow of materials.

[0037] S600: Combining the rescue route information set and the material route information set to obtain an emergency management and control plan set;

[0038] S700: Optimizing the set of emergency control solutions to obtain the optimal emergency control solution and perform integrated emergency control.

[0039] Specifically, in order to implement the execution of the rescue mission, the rescue route information set and the material route information set are combined, and the combination is the binding of the rescue route and the material route to obtain an emergency management and control plan set. Each element of the emergency management and control plan set corresponds to a binding relationship between the rescue route and the material route, and the binding object of the binding relationship can be reused. For example, the preset range of rescue site A includes material points a and b, the binding of the first material supply chain from A to rescue site A and material point a, the binding of the second material supply chain from A to rescue site A and material point a, and the binding of the first material supply chain from A to rescue site A and material point b. All of the binding combinations are established. It is specifically necessary to combine the actual data information for specific refinement, and combine with relevant algorithms to optimize the emergency management and control plan set to obtain the optimal emergency management and control plan. The integrated emergency management and control system uses the optimal emergency management and control plan to perform integrated emergency management and control, so as to provide technical support for ensuring the reliability of the emergency management and control plan, improving the efficiency of emergency management and control, and ensuring the implementation of emergency management and control.

[0040] Further, such as Figure 2 As shown, the optimization is performed in the set of emergency control solutions, and the step S700 further includes:

[0041] S710: Randomly select an emergency control plan from the set of emergency control plans as the first emergency control plan and as the current optimization result;

[0042] S720: Calculate and obtain a first fitness of the first emergency management and control plan according to a preset fitness calculation rule;

[0043] S730: randomly selecting an emergency control plan from the set of emergency control plans again as a second emergency control plan;

[0044] S740: Calculate and obtain a second fitness of the second emergency management and control plan according to the preset fitness calculation rule;

[0045] S750: According to a preset judgment rule, the first emergency control plan or the second emergency control plan is used as a current optimization result;

[0046] S760: Continue iterating the optimization until the preset number of optimizations is reached, output the current optimization result, and obtain the optimal emergency control plan.

[0047] Specifically, in combination with a random number generation algorithm, a set of random number sequences is generated, and repeated elimination is performed. The repeated elimination is to generate the same random number, and only the first generated random number is retained. In simple terms, ten random numbers [1, 5, 4, 6, 3, 5, 2, 1, 5, 9] are randomly generated, and after repeated elimination, [1, 5, 4, 6, 3, 2, 9] are obtained. Then, it is necessary to continue to generate random numbers so that in the set range, the value of each number is taken once. Then, according to the obtained random number array, an emergency control plan is selected from the emergency control plan set, and the selected emergency control plan is set as the first emergency control plan, and used as the current emergency control plan. The first optimization result is obtained by combining the index score with the preset fitness calculation rule, and the first fitness of the first emergency control plan is calculated according to the preset fitness calculation rule; according to the random array, an emergency control plan is selected from the emergency control plan set again as the second emergency control plan; according to the preset fitness calculation rule, the second fitness of the second emergency control plan is calculated; according to the preset judgment rule, the fitness is compared, and the first emergency control plan or the second emergency control plan is used as the current optimization result; the iterative optimization is continued in the emergency control plan set until the preset number of optimizations is reached, and the preset optimization is The number of times can be set by relevant personnel in this field. The larger the preset number of optimization searches, the longer the time consumption corresponding to the optimization process, and the shorter the time consumption corresponding to the emergency control plan, but the control plan is not flexible; the smaller the preset number of optimization searches, the smaller the time consumption corresponding to the optimization process, and the longer the time consumption corresponding to the emergency control plan, and the more flexible the control plan. A simple explanation is given. The more preset number of optimization searches, the simpler and more fixed the combination of the rescue route information and the material route information is. The smaller the preset number of optimization searches, the richer and more uncertain the combination of the rescue route information and the material route information is. By analogy, there are 6 paths from A to B, and the distance of path m is the shortest. The preset number of optimization searches is large, and the path plan is limited to m paths, which may cause congestion on the m paths. A reasonable preset number of optimization searches is set, and the paths that are too far away from the 6 paths are eliminated, and the remaining paths are retained. Specifically, the preset number of optimization searches needs to be optimized and adjusted in combination with the indicator changes in the iterative optimization process. After the optimization and adjustment, the current optimization result is output to obtain the optimal emergency management and control plan. The optimal emergency management and control plan includes at least one group of binding relationships between the multiple rescue route information of the rescue route information set and the multiple material route information of the material route information set. The simulated annealing algorithm is used for optimization to provide technical support for path optimization.

[0048] Furthermore, the preset judgment rule, the step S750 also includes:

[0049] S751: Determine whether the second fitness is greater than the first fitness;

[0050] S752: If yes, use the second emergency control plan as the current optimization result;

[0051] S753: If not, the second emergency control plan is used as the current optimization result according to probability, and the probability is calculated by the following formula: Among them, e is the natural logarithm, n2 is the second fitness, n1 is the first fitness, and k is the optimization speed factor.

[0052] Specifically, according to the preset fitness calculation rules, the first fitness of the first emergency control plan and the second fitness of the second emergency control plan are calculated to determine whether the second fitness is greater than the first fitness; if the second fitness is greater than the first fitness, the second emergency control plan is used as the current optimization result; if the second fitness is not greater than the first fitness, the second emergency control plan is used as the current optimization result according to probability, and the probability is calculated by the following formula: Among them, e is the natural logarithm, n2 is the second fitness, n1 is the first fitness, and k is the optimization speed factor. In the optimization process, k is the optimization speed factor that decreases exponentially. In the early stage of the optimization process, the k value is large, and the value of probability P is less than 1 and close to 1. According to probability P, the second emergency control plan is used as the current optimization result to improve the optimization speed and avoid stagnation in the local optimum; in the later stage of the optimization process, the k value is small, and the value of probability P is greater than 0 and close to 0. According to probability P, the emergency control plan with poor fitness is used as the current optimization result. By pre-setting judgment rules, the accuracy of optimization is improved.

[0053] Further, such as Figure 3 As shown, the first fitness of the first emergency management and control plan is calculated according to the preset fitness calculation rule, and the step S720 also includes:

[0054] S721: According to the first emergency management and control plan, obtain first rescue route information and first material route information in the first emergency management and control plan;

[0055] S722: inputting the first rescue route information into a rescue route analysis model to obtain a first rescue route score;

[0056] S723: Inputting the first material route information into a material route analysis model to obtain a first material route score;

[0057] S724: Perform a weighted sum of the first rescue route score and the first material route score to obtain the first fitness.

[0058] Specifically, according to the first emergency control plan, the first rescue route information and the first material route information in the first emergency control plan are obtained, and the first rescue route information and the first material route information are combined to construct the first emergency control plan; the model basis of the rescue route analysis model is the BP neural network model, and the rescue route analysis model is constructed through data training, and the first rescue route information is input into the rescue route analysis model. The model output result includes the first rescue route score and other relevant indicator information. The first rescue route score is used to evaluate the rescue speed and the smoothness of the rescue process. Generally, the faster the rescue speed and the smoother the rescue process, the higher the score. A low smoothness of the rescue process may cause secondary injuries to the wounded (such as bumps, etc.). The route information is input into the material route analysis model. The material route analysis model performs a comprehensive evaluation based on the material transportation time consumption and the material reserve status of the material transportation point. Under the condition of meeting the material reserve demand of the material point, the shorter the material transportation time consumption, the higher the corresponding first material route score. The first rescue route score and the first material route score are weightedly calculated using the coefficient of variation method. The coefficient of variation method is an objective weighting method. It directly uses the information contained in the first rescue route score and the first material route score to obtain the weights of the first rescue route score and the first material route score through calculation. After determining the weight, the first rescue route score and the first material route score are weightedly summed to obtain the first fitness, thereby effectively ensuring the stability of the first fitness.

[0059] Furthermore, the step of inputting the first rescue route information into a rescue route analysis model further includes:

[0060] S722-1: Determine and obtain a plurality of target regions of the same family according to the target region;

[0061] S722-2: Collect and obtain rescue route information for the multiple same-family target areas to obtain a same-family rescue route information set;

[0062] S722-3: Continue to score the rescue route information in the same family rescue route information set to obtain a same family rescue route score set;

[0063] S722-4: Divide and identify the same-family rescue route information set and the same-family rescue route score set to obtain a training data set, a verification data set, and a test data set;

[0064] S722-5: Construct rescue route analysis model based on BP neural network model;

[0065] S722-6: Perform supervised training, verification and testing on the rescue route analysis model using the training data set, verification data set and test data set to obtain the rescue route analysis model whose accuracy meets preset requirements;

[0066] S722-7: Input the first rescue route information into the rescue route analysis model to obtain an output result, wherein the output result includes identification information of the first rescue route score.

[0067] Specifically, according to the target area, a plurality of target areas of the same family are determined to be obtained, the target areas of the same family are similar areas where similar disasters have occurred in disaster records, the disaster may be a mudslide, and the target area is a mountain area where a mudslide has occurred; disaster records of the plurality of target areas of the same family are extracted, rescue route information for rescue in the plurality of target areas of the same family is obtained, and a set of rescue route information of the same family is obtained, the rescue route information is not limited to rescue route information and rescue drive scheme information, the rescue drive scheme information may be for a car, a hybrid rescue boat, a small kayak, and the rescue drive scheme information corresponds to the rescue route information; data retrieval is performed through big data, the rescue route information is used as a retrieval mark signal, information retrieval and extraction are performed, data information of the same type as the rescue route information and scoring information of the same type of data information are obtained, the data information of the same type as the rescue route information and the scoring information of the same type of data information are used as a knowledge base, a rescue route scoring system is constructed, and the rescue route scoring system is scored for the rescue route information of the same family. The rescue route information in the rescue route information set is scored to obtain a same-family rescue route scoring set, wherein the elements of the same-family rescue route scoring set correspond one-to-one to the rescue route information in the same-family rescue route information set; the same-family rescue route information set and the same-family rescue route scoring set are divided and identified to obtain a training data set, a verification data set and a test data set; a rescue route analysis model is constructed based on a BP neural network model; the rescue route analysis model is supervised trained, verified and tested using the training data set, the verification data set and the test data set respectively to obtain the rescue route analysis model whose accuracy meets the preset requirements, wherein the accuracy is the test pass rate of the test result corresponding to the Sohu test data set; the first rescue route information is input into the rescue route analysis model to obtain an output result, wherein the output result includes the identification information of the first rescue route score, and the stability and rationality of the first rescue route score are further guaranteed through model training.

[0068] In summary, the integrated emergency management and control method and system based on the industrial Internet provided by this application has the following technical effects:

[0069] Due to the adoption of the industrial Internet-based method, the map information of the target area is obtained; in the map information, a rescue location information set is obtained; a material point information set is obtained; based on the map information and the rescue location information set, multiple rescue route information is constructed to obtain a rescue route information set; based on the map information and the material point information set, a material route information set is obtained; the rescue route information set and the material route information set are combined to obtain an emergency management and control plan set; optimization is performed to obtain the optimal emergency management and control plan, and integrated emergency management and control is performed. This application provides an integrated emergency management and control method and system based on the industrial Internet, which achieves the technical effect of accurately matching rescue locations and material points, optimizing rescue routes and material routes, and improving the efficiency of emergency management and control.

[0070] If the second fitness is greater than the first fitness, the second emergency control plan is used as the current optimization result; if the second fitness is not greater than the first fitness, the second emergency control plan is used as the current optimization result according to the probability, and the probability is calculated by the following formula: Improve the accuracy of optimization by presetting judgment rules.

[0071] By adopting the first emergency management and control plan, the first rescue route information and the first material route information are obtained, the first rescue route information is input into the rescue route analysis model to obtain the first rescue route score; the first material route information is input into the material route analysis model to obtain the first material route score; the first rescue route score and the first material route score are weightedly summed to obtain the first fitness, thereby effectively ensuring the stability of the first fitness.

[0072] Embodiment 2

[0073] Based on the same inventive concept as the integrated emergency management method based on the industrial Internet in the aforementioned embodiment, Figure 4 As shown, the present application provides an integrated emergency management and control system based on the industrial Internet, wherein the system includes:

[0074] An information collection unit 11, the information collection unit 11 is used to collect and obtain map information of a target area based on the industrial Internet, wherein the target area is an area that requires emergency control in case of an emergency;

[0075] An information determination unit 12, the information determination unit 12 is used to determine a plurality of rescue location information in the map information to obtain a rescue location information set;

[0076] A material point determination unit 13, the material point determination unit 13 is used to determine a plurality of material point information according to the rescue location information set and the map information, and obtain a material point information set;

[0077] A route construction unit 14, the route construction unit 14 is used to construct and obtain a plurality of rescue route information according to the map information and the rescue location information set, and obtain a rescue route information set;

[0078] A route information obtaining unit 15, wherein the route information obtaining unit 15 is used to construct and obtain a plurality of material route information according to the map information and the material point information set, and obtain a material route information set;

[0079] A control scheme obtaining unit 16, the control scheme obtaining unit 16 is used to combine the rescue route information set and the material route information set to obtain an emergency control scheme set;

[0080] The emergency control unit 17 is used to search for the best among the emergency control schemes, obtain the best emergency control scheme, and perform integrated emergency control.

[0081] Furthermore, the system comprises:

[0082] An elevation data acquisition unit, wherein the elevation data acquisition unit is used to acquire elevation data of the target area by using a drone based on the industrial Internet;

[0083] A three-dimensional modeling unit, the three-dimensional modeling unit is used to use the elevation data to perform modeling to obtain a three-dimensional image of the target area;

[0084] A map information determination unit is used to use the three-dimensional stereogram as the map information.

[0085] Furthermore, the system comprises:

[0086] A preset range obtaining unit, wherein the preset range obtaining unit is used to obtain a preset range;

[0087] A range division unit, the range division unit is used to divide the perimeter of the plurality of rescue location information in the map information by using the preset range to obtain a plurality of preliminary selection ranges;

[0088] A material point acquisition unit is used to select and obtain the plurality of material point information within the plurality of preliminary selection ranges according to the map information.

[0089] Furthermore, the system comprises:

[0090] A first emergency control scheme selection unit, wherein the first emergency control scheme selection unit is used to randomly select an emergency control scheme from the set of emergency control schemes as the first emergency control scheme and as the current optimization result;

[0091] A first fitness obtaining unit, the first fitness obtaining unit being used to calculate and obtain a first fitness of the first emergency management and control plan according to a preset fitness calculation rule;

[0092] A second emergency control scheme selection unit, wherein the second emergency control scheme selection unit is used to randomly select an emergency control scheme from the set of emergency control schemes again as the second emergency control scheme;

[0093] A second fitness obtaining unit, the second fitness obtaining unit being used to calculate and obtain a second fitness of the second emergency management and control plan according to the preset fitness calculation rule;

[0094] An optimization result determination unit, the optimization result determination unit is used to use the first emergency management and control plan or the second emergency management and control plan as a current optimization result according to a preset judgment rule;

[0095] The iterative optimization unit is used to continue iterative optimization until a preset number of optimization times is reached, output the current optimization result, and obtain the optimal emergency control plan.

[0096] Furthermore, the system comprises:

[0097] a fitness determination unit, the fitness determination unit being used to determine whether the second fitness is greater than the first fitness;

[0098] a current optimization result determination unit, wherein the current optimization result determination unit is used to take the second emergency control plan as the current optimization result;

[0099] A probability calculation unit, wherein if no, the second emergency control plan is used as the current optimization result according to the probability, and the probability is calculated by the following formula: Among them, e is the natural logarithm, n2 is the second fitness, n1 is the first fitness, and k is the optimization speed factor.

[0100] Furthermore, the system comprises:

[0101] A rescue route information and material route obtaining unit, the rescue route information and material route obtaining unit being used to obtain first rescue route information and first material route information in the first emergency management and control plan according to the first emergency management and control plan;

[0102] a rescue route score obtaining unit, the rescue route score obtaining unit being used to input the first rescue route information into a rescue route analysis model to obtain a first rescue route score;

[0103] a material route score obtaining unit, the material route score obtaining unit being used to input the first material route information into a material route analysis model to obtain a first material route score;

[0104] A weighted summation unit is used to perform a weighted summation on the first rescue route score and the first material route score to obtain the first fitness.

[0105] Furthermore, the system comprises:

[0106] A target region determining unit, the target region determining unit being used to determine and obtain a plurality of target regions of the same family according to the target region;

[0107] A rescue route information collection unit, the rescue route information collection unit is used to collect and obtain rescue route information for performing rescue in the plurality of target areas of the same family, and obtain a set of rescue route information of the same family;

[0108] A rescue route information scoring unit, the rescue route information scoring unit is used to continue scoring the rescue route information in the same family rescue route information set to obtain a same family rescue route scoring set;

[0109] A data division and identification unit, the data division and identification unit is used to divide and identify the same-family rescue route information set and the same-family rescue route score set to obtain a training data set, a verification data set and a test data set;

[0110] A model building unit, wherein the model building unit is used to build a rescue route analysis model based on a BP neural network model;

[0111] A model acquisition unit, the model acquisition unit is used to use the training data set, the verification data set and the test data set to perform supervised training, verification and testing on the rescue route analysis model to obtain the rescue route analysis model whose accuracy meets the preset requirements;

[0112] An output result obtaining unit, wherein the output result obtaining unit is used to input the first rescue route information into the rescue route analysis model to obtain an output result, wherein the output result includes identification information of the first rescue route score.

[0113] This specification and drawings are merely exemplary illustrations of the present application, and various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. These modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, and the present application intends to include these modifications and variations.

Claims

1. An integrated emergency management and control method based on the industrial Internet, characterized in that: include: Based on the Industrial Internet, map information of the target area is collected and obtained, wherein the target area is an area where emergency situations occur and emergency control is required; In the map information, multiple rescue location information is determined to obtain a rescue location information set; Determine a plurality of material point information according to the rescue location information set and the map information, and obtain a material point information set; Constructing and obtaining a plurality of rescue route information according to the map information and the rescue location information set to obtain a rescue route information set; Constructing and obtaining a plurality of material route information according to the map information and the material point information set, and obtaining a material route information set; Combining the rescue route information set and the material route information set to obtain an emergency management and control plan set; Searching for the best solution in the set of emergency control solutions to obtain the optimal emergency control solution and perform integrated emergency control; The optimization in the set of emergency control solutions includes: Randomly select an emergency control plan from the set of emergency control plans as the first emergency control plan and as the current optimization result; Calculate and obtain the first fitness of the first emergency control plan according to a preset fitness calculation rule; Randomly selecting an emergency control plan from the set of emergency control plans again as the second emergency control plan; According to the preset fitness calculation rule, calculate and obtain the second fitness of the second emergency control plan; According to the preset judgment rules, the first emergency control plan or the second emergency control plan is used as the current optimization result; Continue iterating the optimization until the preset number of optimizations is reached, output the current optimization result, and obtain the optimal emergency control plan; The preset judgment rules include: Determining whether the second fitness is greater than the first fitness; If yes, then the second emergency control plan is used as the current optimization result; If not, the second emergency control plan is used as the current optimization result according to the probability, and the probability is calculated by the following formula: Among them, e is the natural logarithm, n2 is the second fitness, n1 is the first fitness, and k is the optimization speed factor; The step of calculating the first fitness of the first emergency management and control plan according to a preset fitness calculation rule includes: According to the first emergency control plan, obtaining first rescue route information and first material route information in the first emergency control plan; Inputting the first rescue route information into a rescue route analysis model to obtain a first rescue route score; Inputting the first material route information into a material route analysis model to obtain a first material route score; The first rescue route score and the first material route score are weightedly summed to obtain the first fitness.

2. The method according to claim 1, characterized in that The collecting and obtaining map information of the target area includes: Based on the industrial Internet, drones are used to collect and obtain elevation data of the target area; Using the elevation data to build a model, and obtaining a three-dimensional stereogram of the target area; The three-dimensional stereogram is used as the map information.

3. The method according to claim 1, characterized in that The determining of a plurality of material point information according to the rescue location information set and the map information includes: Get the preset range; Using the preset range, dividing the perimeters of the plurality of rescue location information in the map information into ranges to obtain a plurality of preliminary selection ranges; According to the map information, the plurality of material point information is selected and obtained within the plurality of preliminary selection ranges.

4. The method according to claim 1, characterized in that: The step of inputting the first rescue route information into a rescue route analysis model includes: According to the target area, determining to obtain a plurality of target areas of the same family; Collecting and acquiring rescue route information for the multiple target areas of the same group, and obtaining a set of rescue route information of the same group; Continue to score the rescue route information in the same-family rescue route information set to obtain a same-family rescue route score set; Dividing and marking the same-family rescue route information set and the same-family rescue route score set to obtain a training data set, a verification data set, and a test data set; Based on the BP neural network model, a rescue route analysis model is constructed; The rescue route analysis model is supervisedly trained, verified and tested using the training data set, the verification data set and the test data set to obtain the rescue route analysis model whose accuracy meets the preset requirements; The first rescue route information is input into the rescue route analysis model to obtain an output result, wherein the output result includes identification information of the first rescue route score.

5. An integrated emergency management and control system based on the industrial Internet, characterized in that: The system comprises: An information collection unit, the information collection unit is used to collect and obtain map information of a target area based on the industrial Internet, wherein the target area is an area that requires emergency control in case of an emergency; an information determination unit, the information determination unit being used to determine a plurality of rescue location information in the map information to obtain a rescue location information set; A material point determination unit, the material point determination unit is used to determine a plurality of material point information according to the rescue location information set and the map information, and obtain a material point information set; A route construction unit, the route construction unit is used to construct and obtain a plurality of rescue route information according to the map information and the rescue location information set, and obtain a rescue route information set; A route information obtaining unit, the route information obtaining unit is used to construct and obtain a plurality of material route information according to the map information and the material point information set, and obtain a material route information set; A control scheme obtaining unit, the control scheme obtaining unit is used to combine the rescue route information set and the material route information set to obtain an emergency control scheme set; An emergency control unit, the emergency control unit is used to search for the best among the emergency control scheme set, obtain the optimal emergency control scheme, and perform integrated emergency control; The system further comprises: A first emergency control scheme selection unit, wherein the first emergency control scheme selection unit is used to randomly select an emergency control scheme from the set of emergency control schemes as the first emergency control scheme and as the current optimization result; A first fitness obtaining unit, the first fitness obtaining unit being used to calculate and obtain a first fitness of the first emergency management and control plan according to a preset fitness calculation rule; A second emergency control scheme selection unit, wherein the second emergency control scheme selection unit is used to randomly select an emergency control scheme from the set of emergency control schemes again as a second emergency control scheme; A second fitness obtaining unit, the second fitness obtaining unit being used to calculate and obtain a second fitness of the second emergency management and control plan according to the preset fitness calculation rule; An optimization result determination unit, the optimization result determination unit is used to use the first emergency management and control plan or the second emergency management and control plan as a current optimization result according to a preset judgment rule; An iterative optimization unit, wherein the iterative optimization unit is used to continue iterative optimization until a preset number of optimization times is reached, output the current optimization result, and obtain the optimal emergency control plan; a fitness determination unit, the fitness determination unit being used to determine whether the second fitness is greater than the first fitness; a current optimization result determination unit, wherein the current optimization result determination unit is configured to use the second emergency management and control plan as the current optimization result; A probability calculation unit, wherein if no, the second emergency control plan is used as the current optimization result according to the probability, and the probability is calculated by the following formula: Among them, e is the natural logarithm, n2 is the second fitness, n1 is the first fitness, and k is the optimization speed factor; A rescue route information and material route obtaining unit, the rescue route information and material route obtaining unit being used to obtain first rescue route information and first material route information in the first emergency management and control plan according to the first emergency management and control plan; a rescue route score obtaining unit, the rescue route score obtaining unit being used to input the first rescue route information into a rescue route analysis model to obtain a first rescue route score; a material route score obtaining unit, the material route score obtaining unit being used to input the first material route information into a material route analysis model to obtain a first material route score; A weighted summation unit is used to perform a weighted summation on the first rescue route score and the first material route score to obtain the first fitness.

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