Industrial park emergency commanding and dispatching method and platform based on large model

Abstract

The invention provides an industrial park emergency commanding and dispatching method and platform based on a large model, and the method comprises the steps: recognizing potential safety hazards in an industrial park based on a visual technology, building a potential safety hazard disposal scheme of the industrial park through the large model, and carrying out the emergency commanding and dispatching of the industrial park when an emergency occurs in the industrial park, dividing the industrial park into a plurality of emergency influence ranges by using the large model, constructing a corresponding danger disposal scheme for each emergency influence range, counting personnel retention information in each emergency influence range, constructing an evacuation disposal scheme for field personnel according to danger attributes corresponding to the emergency influence ranges, and carrying out evacuation disposal on the field personnel according to the evacuation disposal scheme. According to the field emergency data of the industrial park, the disposal defect of the current emergency disposal is determined, and the corresponding emergency command password is generated to perform field command on the corresponding field, so that the emergency response speed and the decision accuracy are remarkably improved, and the rescue success rate and the department cooperation rate are improved.

Description

Technical Field

[0001] The present invention relates to the field of industrial park emergency technology, and in particular to an industrial park emergency command and dispatch method and platform based on a large model. Background Art

[0002] With the rapid development of industry, the number and scale of various industrial parks are constantly expanding. The chemical industry, which involves multiple branches such as oil refining, metallurgy, pharmaceuticals, and coal chemical industry, plays a vital role in the overall industrial development process. For various industrial parks, safety issues have always been a focus of the industry. For industrial parks, in order to keep pace with the times, they need to continuously expand the scale of the park and introduce new equipment, but this also brings more safety issues. Therefore, many parks have implemented high-intensity management and dispatched more personnel for safety supervision. Although this achieves the purpose of supervision, the effect is not good. Managers have difficulty accumulating experience in daily management, and when accidents actually occur, they are unable to better respond to on-site emergencies. Therefore, there is an urgent need for a method to manage the safety of industrial parks.

[0003] Therefore, the present invention provides an industrial park emergency command and dispatch method and platform based on a large model. Summary of the Invention

[0004] The present invention provides an industrial park emergency command and dispatch method and platform based on a large model, which significantly improves the emergency response speed, decision-making accuracy, and improves the rescue success rate and department coordination rate.

[0005] The present invention provides an industrial park emergency command and dispatch method based on a large model, comprising:

[0006] Step 1: Identify safety hazards in the industrial park using visual technology and use a large model to build a hazard treatment plan for the industrial park;

[0007] Step 2: When an emergency occurs in the industrial park, the industrial park is divided into several emergency impact areas using the large model, and a corresponding hazard disposal plan is constructed for each emergency impact area;

[0008] Step 3: Collecting information on personnel stranded within each emergency impact area, and establishing an evacuation plan for on-site personnel based on the hazard attributes of the emergency impact area;

[0009] Step 4: According to the on-site emergency data of the industrial park, determine the disposal deficiencies of the current emergency disposal, generate corresponding emergency command commands and conduct on-site command of the corresponding site.

[0010] In one practicable manner,

[0011] The step 1 includes:

[0012] Step 11: Using visual recognition technology to extract features from the historical surveillance videos of the industrial park, obtain several historical local features of the industrial park, synchronously compare the historical local features corresponding to the same park area, obtain the local feature cycle corresponding to each park area, and construct the coarse feature change trend of each park area;

[0013] Step 12: Using visual recognition technology to extract features from the real-time surveillance video of the industrial park, obtaining a number of real-time local features of the industrial park, performing feature comparison on the corresponding real-time local features using the coarse feature transformation trends, and extracting target real-time local features that are inconsistent with the coarse feature transformation trends;

[0014] Step 13: Locating a target park area corresponding to the target real-time local feature in the real-time monitoring video, deriving project parameters of the target park area based on regional engineering projects in the target park area and the target real-time local feature, and determining safety hazards in the target park area;

[0015] Step 14: Input the safety hazards and the regional engineering projects into the large model to trace the hazard sources, obtain the causes and locations of the hazards in the target park area, screen the corresponding initial hazard treatment plans, decompose the regional engineering projects, determine the engineering parameters corresponding to the hazard locations, use the engineering parameters to adjust the data of the initial hazard treatment plan, and obtain the hazard treatment plan for the industrial park.

[0016] In one practicable manner,

[0017] Also includes:

[0018] The real-time local features are used to determine the regional engineering progress corresponding to the industrial park area, and the safety hazard database of the industrial park is updated according to the regional engineering progress.

[0019] In one practicable manner,

[0020] The step 2 comprises:

[0021] Step 21: Monitor the real-time surveillance video of the industrial park in real time. When an emergency occurs in the industrial park, the real-time surveillance video is framed and the time point corresponding to each video frame is determined. Each video frame is converted into numerical data, and a multidimensional array corresponding to each video frame is obtained by combining the corresponding time point.

[0022] Step 22: Inputting each of the multidimensional arrays into the large model for data analysis based on time sequence, dividing the industrial park into a plurality of emergency impact areas according to the emergency hazard location and emergency hazard attributes in the industrial park, and determining the range radius and hazard level corresponding to each emergency impact area;

[0023] Step 23: Derives a plurality of affected features corresponding to each of the emergency impact ranges based on the emergency hazard attributes, performs multi-angle learning training on each of the affected features using a preset collaborative neural network, obtains a plurality of scenario parameters corresponding to each of the affected features, analyzes the parameter logic between different scenario parameters, determines the feature relationships between different affected features, and constructs a corresponding feature tree;

[0024] Step 24: constructing a correlation influence factor corresponding to each affected feature based on the feature tree, constructing a corresponding first feature treatment plan for the target affected feature with the largest correlation influence factor using the large model, determining a causal treatment result of the first feature treatment plan for each affected feature based on the feature tree, and constructing a second treatment plan for the corresponding affected feature based on the causal treatment result;

[0025] Step 25: Obtain the disposal plan corresponding to each of the affected features to construct a hazard disposal plan for the industrial park, search for the hazard disposal plan corresponding to each of the emergency impact areas in the hazard disposal plan, and transmit the hazard disposal plan to a corresponding display terminal for display.

[0026] In one practicable manner,

[0027] The step 3 comprises:

[0028] Step 31: Draw a plurality of park channels of the industrial park based on the park map of the industrial park, map the range radius and danger level corresponding to each emergency impact range and each park channel into the large model, and determine the channel safety corresponding to different park channels in each emergency impact range;

[0029] Step 32: Using visual technology to identify the activity information of on-site personnel in the industrial park, setting a corresponding priority for each of the park channels based on the channel safety, simulating the evacuation path corresponding to each on-site personnel in the large model, and marking a number of path turning points corresponding to each on-site personnel in the large model;

[0030] Step 33: Identify the hazard attributes corresponding to each emergency impact area, determine the hazard dwell time corresponding to each path inflection point, use the hazard dwell time to perform a safety assessment on the number of people waiting to pass through the corresponding path inflection point, and adjust the evacuation path corresponding to the on-site personnel based on the assessment result;

[0031] Step 34: Determine the guided evacuation path and the dangerous prohibited path of the industrial park based on the channel safety corresponding to each of the park channels, and construct an evacuation disposal plan for the industrial park in combination with the effective evacuation path corresponding to each of the on-site personnel and transmit it to the corresponding display terminal for display.

[0032] In one practicable manner,

[0033] Also includes:

[0034] Collect inquiries from relevant users through terminals, answer the inquiries based on the danger disposal plan and the evacuation disposal plan, and provide feedback through the corresponding terminals.

[0035] In one practicable manner,

[0036] The step 4 comprises:

[0037] Step 41: When an emergency occurs in the industrial park, collect on-site emergency data of the industrial park in different dimensions, and restore several real-time emergency measures of the industrial park based on the on-site emergency data;

[0038] Step 42: Determine the real-time emergency response effect of the industrial park based on the emergency location corresponding to each real-time emergency measure, and identify handling deficiencies when executing the real-time emergency measure;

[0039] Step 43: Constructing on-site disposal measures for the disposal defects according to the hazard disposal plan and the evacuation disposal plan;

[0040] Step 44: Construct a corresponding emergency command command based on the on-site disposal measures and transmit it to the target terminal closest to the disposal defect for on-site command.

[0041] In one practicable manner,

[0042] Also includes:

[0043] The potential safety hazards in the industrial park are counted, and a hazard report of the industrial park is constructed and displayed.

[0044] The present invention provides an industrial park emergency command and dispatch platform based on a large model, comprising:

[0045] A hidden danger identification module is used to identify safety hazards in industrial parks based on visual technology and build hidden danger disposal plans for the industrial parks using large models;

[0046] a hazard handling module, configured to divide the industrial park into a number of emergency impact areas using the large model when an emergency occurs in the industrial park, and to construct a corresponding hazard handling plan for each emergency impact area;

[0047] An evacuation and disposal module is used to collect information on the personnel stranded within each emergency impact area and establish an evacuation and disposal plan for on-site personnel based on the dangerous attributes of the emergency impact area;

[0048] The on-site emergency module is used to determine the disposal defects of the current emergency disposal based on the on-site emergency data of the industrial park, generate corresponding emergency command commands and conduct on-site command of the corresponding site.

[0049] In one practicable manner,

[0050] The hazard handling module includes:

[0051] a video processing unit for monitoring the real-time surveillance video of the industrial park in real time, and when an emergency occurs in the industrial park, performing frame processing on the real-time surveillance video, determining the time point corresponding to each video frame, converting each video frame into numerical data, and obtaining a multidimensional array corresponding to each video frame in combination with the corresponding time point;

[0052] a range division unit, configured to input each of the multidimensional arrays into the large model for data analysis based on a chronological order, divide the industrial park into a plurality of emergency impact ranges according to the emergency hazard location and emergency hazard attributes in the industrial park, and determine a range radius and hazard level corresponding to each emergency impact range;

[0053] a training and analysis unit, configured to derive a plurality of affected features corresponding to each of the emergency impact ranges based on the emergency hazard attributes, perform multi-angle learning training on each of the affected features using a preset collaborative neural network, obtain a plurality of scenario parameters corresponding to each of the affected features, analyze parameter logic between different scenario parameters, determine feature relationships between different affected features, and construct a corresponding feature tree;

[0054] a feature analysis unit configured to construct, based on the feature tree, a correlation influence factor corresponding to each affected feature, use the large model to construct a corresponding first feature handling solution for the target affected feature having the largest correlation influence factor, determine, based on the feature tree, a causal treatment result of the first feature handling solution for each affected feature, and construct a second handling solution for the corresponding affected feature based on the causal treatment result;

[0055] A solution generation unit is used to obtain the treatment plan corresponding to each of the affected features to construct a hazard treatment plan for the industrial park, search for the hazard treatment plan corresponding to each of the emergency impact ranges in the hazard treatment plan, and transmit it to the corresponding display terminal for display.

[0056] The above technical solution has the following beneficial effects: in order to reduce the probability of accidents in industrial parks, visual technology is used to identify safety hazards in industrial parks under daily circumstances, and the convenience of large models is used to build a hazard treatment plan for the industrial park. When an emergency occurs in the industrial park, the industrial park is divided into domino areas, death areas, serious injury areas, and minor injury areas with the emergency location as the center in a short time. Then, different hazard treatment plans are formulated for different areas, which can effectively prevent the accident from expanding and minimize the losses within the industrial park. At the same time, the stranded people in each area are located and corresponding evacuation treatment plans are assigned to them. During the emergency treatment process, the current treatment defects are deduced based on the on-site first aid data to timely grasp the progress of the accident treatment, thereby generating corresponding emergency command commands to conduct on-site command and effectively guide the treatment work until the accident is eliminated. In this way, safety hazards and emergency situations in the industrial park can be identified in a short time and corresponding treatment can be carried out for these situations, minimizing the damage to the industrial park caused by the accident and maximizing the safety of people in the park. In addition, the supervision intensity and direction of the industrial park can be updated with the development of technology, achieving the purpose of continuous optimization and upgrading.

[0057] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0058] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 Schematic diagram of the workflow of a large-scale model-based industrial park emergency command and dispatch method in an embodiment of the present invention;

[0061] Figure 2 The figure is a schematic diagram of the composition of an industrial park emergency command and dispatch platform based on a large model in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0063] Example 1

[0064] This embodiment provides an industrial park emergency command and dispatch method based on a large model, such as Figure 1 As shown, including:

[0065] Step 1: Identify safety hazards in the industrial park using visual technology and use a large model to build a hazard treatment plan for the industrial park;

[0066] Step 2: When an emergency occurs in the industrial park, the industrial park is divided into several emergency impact areas using the large model, and a corresponding hazard disposal plan is constructed for each emergency impact area;

[0067] Step 3: Collecting information on personnel stranded within each emergency impact area, and establishing an evacuation plan for on-site personnel based on the hazard attributes of the emergency impact area;

[0068] Step 4: According to the on-site emergency data of the industrial park, determine the disposal deficiencies of the current emergency disposal, generate corresponding emergency command commands and conduct on-site command of the corresponding site.

[0069] In this instance, safety hazards represent possible risks;

[0070] In this example, the hidden danger treatment plan represents a method used to eliminate safety hazards in the industrial park;

[0071] In this instance, emergency situations represent sudden dangers within the industrial park;

[0072] In this example, the emergency impact range includes: the area represented by the domino radius, the area represented by the death radius, the area represented by the serious injury radius, and the area represented by the minor injury radius;

[0073] In this example, the hazard disposal plan includes emergency repairs, leak sealing, and environmental cleanup. It also automatically matches emergency supplies such as ventilators and chemical protective suits within the park, and enables intelligent dispatch of emergency supplies.

[0074] In this example, the evacuation plan includes routes and recommendations for evacuating personnel;

[0075] In this instance, handling defects refer to operational defects that occur during on-site emergency handling;

[0076] In this example, the emergency command command refers to the emergency command command played on site in a voice manner.

[0077] The working principle and beneficial effects of the above technical solution are as follows: In order to reduce the probability of accidents in industrial parks, visual technology is used to identify safety hazards in industrial parks under daily circumstances, and the convenience of large models is used to build a hazard treatment plan for the industrial park. When an emergency occurs in the industrial park, the industrial park is divided into domino areas, death areas, serious injury areas, and minor injury areas with the emergency location as the center in a short time. Then, different hazard treatment plans are formulated for different areas, which can effectively prevent the accident from expanding and minimize the losses within the industrial park. At the same time, the stranded people in each area are located and corresponding evacuation treatment plans are assigned to them. During the emergency treatment process, the current treatment defects are deduced based on the on-site first aid data to timely grasp the progress of the accident treatment, thereby generating corresponding emergency command commands for on-site command and effective guidance of the treatment work until the accident is eliminated. In this way, safety hazards and emergency situations in the industrial park can be identified in a short time and corresponding treatment can be carried out for these situations, minimizing the damage to the industrial park caused by the accident and maximizing the safety of people in the park. In addition, the supervision intensity and direction of the industrial park can be updated with the development of technology, achieving the goal of continuous optimization and upgrading.

[0078] Example 2

[0079] On the basis of Example 1, the large-scale model-based industrial park emergency command and dispatch method, step 1, includes:

[0080] Step 11: Using visual recognition technology to extract features from the historical surveillance videos of the industrial park, obtain several historical local features of the industrial park, synchronously compare the historical local features corresponding to the same park area, obtain the local feature cycle corresponding to each park area, and construct the coarse feature change trend of each park area;

[0081] Step 12: Using visual recognition technology to extract features from the real-time surveillance video of the industrial park, obtaining a number of real-time local features of the industrial park, performing feature comparison on the corresponding real-time local features using the coarse feature transformation trends, and extracting target real-time local features that are inconsistent with the coarse feature transformation trends;

[0082] Step 13: Locating a target park area corresponding to the target real-time local feature in the real-time monitoring video, deriving project parameters of the target park area based on regional engineering projects in the target park area and the target real-time local feature, and determining safety hazards in the target park area;

[0083] Step 14: Input the safety hazards and the regional engineering projects into the large model to trace the hazard sources, obtain the causes and locations of the hazards in the target park area, screen the corresponding initial hazard treatment plans, decompose the regional engineering projects, determine the engineering parameters corresponding to the hazard locations, use the engineering parameters to adjust the data of the initial hazard treatment plan, and obtain the hazard treatment plan for the industrial park.

[0084] In this example, historical local characteristics represent the characteristics presented by each park area within the industrial park;

[0085] In this example, the local characteristic period represents the periodic characteristics exhibited by the park area;

[0086] In this example, the coarse feature transformation trend represents the trend generated by the periodic transformation of historical local features in a park area;

[0087] In this example, the initial hidden danger treatment plan is popular and not as targeted as the hidden danger treatment plan.

[0088] The working principle and beneficial effects of the above technical solution are as follows: first, visual recognition technology is used to perform feature analysis on historical surveillance videos to determine the coarse feature transformation trend of the park area, and then visual recognition technology is used again to analyze real-time surveillance videos to determine the relationship between each real-time local feature in the industrial park and the corresponding coarse feature transformation trend, thereby extracting the target real-time local feature that is inconsistent with the coarse feature transformation trend, and further locating the target park area corresponding to the feature, and then deriving its project parameters based on the regional engineering projects and real-time local features of the area, determining the safety hazards of the target park area, and finally determining the cause and location of the hazards by tracing the source of the hazards, extracting the corresponding initial hazard disposal plan for adjustment, and constructing a hazard disposal plan for the industrial park. In this way, the changes in the industrial park can be taken into account to identify hazards and construct corresponding plans, effectively reducing identification errors and improving the safety of the industrial park.

[0089] Example 3

[0090] Based on Example 2, the large-scale model-based industrial park emergency command and dispatch method further includes:

[0091] The real-time local features are used to determine the regional engineering progress corresponding to the industrial park area, and the safety hazard database of the industrial park is updated according to the regional engineering progress.

[0092] The working principle and beneficial effects of the above technical solution are as follows: Since the safety hazards that are prone to occur in industrial parks are different in different scenarios, the safety hazard database is updated by inferring the regional engineering progress of the park area based on real-time local characteristics, thereby improving the accuracy of safety hazard identification.

[0093] Example 4

[0094] Based on Example 1, the large-scale model-based industrial park emergency command and dispatch method, step 2, includes:

[0095] Step 21: Monitor the real-time surveillance video of the industrial park in real time. When an emergency occurs in the industrial park, the real-time surveillance video is framed and the time point corresponding to each video frame is determined. Each video frame is converted into numerical data, and a multidimensional array corresponding to each video frame is obtained by combining the corresponding time point.

[0096] Step 22: Inputting each of the multidimensional arrays into the large model for data analysis based on time sequence, dividing the industrial park into a plurality of emergency impact areas according to the emergency hazard location and emergency hazard attributes in the industrial park, and determining the range radius and hazard level corresponding to each emergency impact area;

[0097] Step 23: Derives a plurality of affected features corresponding to each of the emergency impact ranges based on the emergency hazard attributes, performs multi-angle learning training on each of the affected features using a preset collaborative neural network, obtains a plurality of scenario parameters corresponding to each of the affected features, analyzes the parameter logic between different scenario parameters, determines the feature relationships between different affected features, and constructs a corresponding feature tree;

[0098] Step 24: constructing a correlation influence factor corresponding to each affected feature based on the feature tree, constructing a corresponding first feature treatment plan for the target affected feature with the largest correlation influence factor using the large model, determining a causal treatment result of the first feature treatment plan for each affected feature based on the feature tree, and constructing a second treatment plan for the corresponding affected feature based on the causal treatment result;

[0099] Step 25: Obtain the disposal plan corresponding to each of the affected features to construct a hazard disposal plan for the industrial park, search for the hazard disposal plan corresponding to each of the emergency impact areas in the hazard disposal plan, and transmit the hazard disposal plan to a corresponding display terminal for display.

[0100] In this example, frame segmentation processing refers to the process of dividing the real-time monitoring video into picture frames;

[0101] In this example, one video frame corresponds to one time point, and the time point represents the moment when the video frame is generated;

[0102] In this example, the numerical data represents the result of expressing the video frame in a data manner;

[0103] In this example, the multidimensional array represents the result of expressing the video frame using the three dimensions of RGB;

[0104] In this example, the affected feature represents the feature presented when an emergency impact range produces a corresponding impact due to the influence of the emergency danger attribute;

[0105] In this example, the preset collaborative neural network represents a network used for multi-temporal learning;

[0106] In this instance, multi-perspective learning training represents the process of analyzing the manifestations of the affected features in different scenarios;

[0107] In this instance, the scenario parameters represent the parameters presented by the affected features in different scenarios;

[0108] In this instance, parameter logic indicates that there are logical relationships between scene parameters of different affected features;

[0109] In this example, the feature tree represents a binary tree used to express the logical relationship between different affected features;

[0110] In this example, the correlation impact factor indicates the degree to which an affected feature is interfered with by other affected features;

[0111] In this example, the causal treatment result represents the impact of the first feature treatment solution on the affected feature.

[0112] The working principle and beneficial effects of the above technical solution: Since the projects in the industrial park are complicated, but the logic is clear, when an emergency occurs in the industrial park, it is not possible to deal with it only at the place where the situation occurs, but also to consider the situation of the relevant departments. Therefore, when an emergency occurs, the real-time monitoring video is first frame-processed and numerically converted to obtain several groups of multi-dimensional arrays arranged in time sequence. The large model is used to analyze it, and the industrial park is divided into several emergency impact ranges. The affected features of each emergency impact range when it is disturbed by the emergency are derived, and then the affected features are trained from multiple angles, and the affected features are trained according to their different scenarios. The parameter logic between the scenario parameters is used to construct a feature tree, and the associated impact factors of each affected feature are determined. In order to quickly build a disposal plan, the target affected feature with the largest associated impact factor is first selected to construct the corresponding first disposal plan, and the synchronous disposal results of the plan for the remaining affected features are determined. Then, associated impact factors with increasingly smaller associated impact factors are selected in turn and corresponding disposal plans are built. Finally, a hazard disposal plan for the industrial park is constructed, and a hazard disposal plan for each emergency impact range is determined. In this way, not only can we respond to emergencies within the industrial park in a timely manner, but we can also ensure the normal operation of other areas within the industrial park and reduce losses.

[0113] Example 5

[0114] Based on Example 1, the large-scale model-based industrial park emergency command and dispatch method, step 3, includes:

[0115] Step 31: Draw a plurality of park channels of the industrial park based on the park map of the industrial park, map the range radius and danger level corresponding to each emergency impact range and each park channel into the large model, and determine the channel safety corresponding to different park channels in each emergency impact range;

[0116] Step 32: Using visual technology to identify the activity information of on-site personnel in the industrial park, setting a corresponding priority for each of the park channels based on the channel safety, simulating the evacuation path corresponding to each on-site personnel in the large model, and marking a number of path turning points corresponding to each on-site personnel in the large model;

[0117] Step 33: Identify the hazard attributes corresponding to each emergency impact area, determine the hazard dwell time corresponding to each path inflection point, use the hazard dwell time to perform a safety assessment on the number of people waiting to pass through the corresponding path inflection point, and adjust the evacuation path corresponding to the on-site personnel based on the assessment result;

[0118] Step 34: Determine the guided evacuation path and the dangerous prohibited path of the industrial park based on the channel safety corresponding to each of the park channels, and construct an evacuation disposal plan for the industrial park in combination with the effective evacuation path corresponding to each of the on-site personnel and transmit it to the corresponding display terminal for display.

[0119] In this example, the guided evacuation path represents an evacuation path that on-site personnel can select based on actual needs, and the dangerous prohibited path represents a path that is prone to serious accidents and is not recommended for on-site personnel to enter.

[0120] The working principle and beneficial effects of the above technical solution are as follows: When an emergency occurs in an industrial park, the personal safety of people in the park must be guaranteed to the greatest extent possible. First, the park channels in the industrial park are drawn according to the park map of the industrial park. The channel safety of each park channel is determined by combining the range radius and danger level of each emergency impact range, so as to set the corresponding priority for the park channel. Then, by locating the position of the on-site personnel and through continuous adjustment, an evacuation path is created for each on-site personnel. At the same time, the guided evacuation path and dangerous stationary path in the park are determined according to the channel safety, and evacuation guidance is given to the on-site personnel. Finally, an evacuation disposal plan is constructed for reference by on-site personnel and off-site managers to guide on-site personnel to evacuate as soon as possible and ensure their life safety.

[0121] Example 6

[0122] Based on Example 1, the large-scale model-based industrial park emergency command and dispatch method further includes:

[0123] Collect inquiries from relevant users through terminals, answer the inquiries based on the danger disposal plan and the evacuation disposal plan, and provide feedback through the corresponding terminals.

[0124] The working principle and beneficial effects of the above technical solution: Using AI Q&A can guide on-site personnel to make correct responses in a short time.

[0125] Example 7

[0126] On the basis of Example 1, the large-scale model-based industrial park emergency command and dispatch method, step 4, includes:

[0127] Step 41: When an emergency occurs in the industrial park, collect on-site emergency data of the industrial park in different dimensions, and restore several real-time emergency measures of the industrial park based on the on-site emergency data;

[0128] Step 42: Determine the real-time emergency response effect of the industrial park based on the emergency location corresponding to each real-time emergency measure, and identify handling deficiencies when executing the real-time emergency measure;

[0129] Step 43: Constructing on-site disposal measures for the disposal defects according to the hazard disposal plan and the evacuation disposal plan;

[0130] Step 44: Construct a corresponding emergency command command based on the on-site disposal measures and transmit it to the target terminal closest to the disposal defect for on-site command.

[0131] The working principle and beneficial effects of the above technical solution: By analyzing the handling defects generated during the emergency process to issue verbal commands to on-site personnel, it can not only respond to emergencies on site, but also provide technical references to on-site personnel, guiding them to handle on-site accidents as quickly as possible and leave the scene as soon as possible, thereby ensuring the safety of the industrial park and on-site personnel.

[0132] Example 8

[0133] Based on Example 2, the large-scale model-based industrial park emergency command and dispatch method further includes:

[0134] The potential safety hazards in the industrial park are counted, and a hazard report of the industrial park is constructed and displayed.

[0135] Example 9

[0136] This embodiment provides an industrial park emergency command and dispatch platform based on a large model, such as Figure 2 As shown, including:

[0137] A hidden danger identification module is used to identify safety hazards in industrial parks based on visual technology and build hidden danger disposal plans for the industrial parks using large models;

[0138] a hazard handling module, configured to divide the industrial park into a number of emergency impact areas using the large model when an emergency occurs in the industrial park, and to construct a corresponding hazard handling plan for each emergency impact area;

[0139] An evacuation and disposal module is used to collect information on the personnel stranded within each emergency impact area and establish an evacuation and disposal plan for on-site personnel based on the dangerous attributes of the emergency impact area;

[0140] The on-site emergency module is used to determine the disposal defects of the current emergency disposal based on the on-site emergency data of the industrial park, generate corresponding emergency command commands and conduct on-site command of the corresponding site.

[0141] In this instance, safety hazards represent possible risks;

[0142] In this example, the hidden danger treatment plan represents a method used to eliminate safety hazards in the industrial park;

[0143] In this instance, emergency situations represent sudden dangers within the industrial park;

[0144] In this example, the emergency impact range includes: the area represented by the domino radius, the area represented by the death radius, the area represented by the serious injury radius, and the area represented by the minor injury radius;

[0145] In this example, the hazard disposal plan includes emergency repairs, leak sealing, and environmental cleanup. It also automatically matches emergency supplies such as ventilators and chemical protective suits within the park, and enables intelligent dispatch of emergency supplies.

[0146] In this example, the evacuation plan includes routes and recommendations for evacuating personnel;

[0147] In this instance, handling defects refer to operational defects that occur during on-site emergency handling;

[0148] In this example, the emergency command command refers to the emergency command command played on site in a voice manner.

[0149] The working principle and beneficial effects of the above technical solution are as follows: In order to reduce the probability of accidents in industrial parks, visual technology is used to identify safety hazards in industrial parks under daily circumstances, and the convenience of large models is used to build a hazard treatment plan for the industrial park. When an emergency occurs in the industrial park, the industrial park is divided into domino areas, death areas, serious injury areas, and minor injury areas with the emergency location as the center in a short time. Then, different hazard treatment plans are formulated for different areas, which can effectively prevent the accident from expanding and minimize the losses within the industrial park. At the same time, the stranded people in each area are located and corresponding evacuation treatment plans are assigned to them. During the emergency treatment process, the current treatment defects are deduced based on the on-site first aid data to timely grasp the progress of the accident treatment, thereby generating corresponding emergency command commands for on-site command and effective guidance of the treatment work until the accident is eliminated. In this way, safety hazards and emergency situations in the industrial park can be identified in a short time and corresponding treatment can be carried out for these situations, minimizing the damage to the industrial park caused by the accident and maximizing the safety of people in the park. In addition, the supervision intensity and direction of the industrial park can be updated with the development of technology, achieving the goal of continuous optimization and upgrading.

[0150] Example 10

[0151] Based on Example 9, the large-scale model-based industrial park emergency command and dispatch platform, the hazard handling module includes:

[0152] a video processing unit for monitoring the real-time surveillance video of the industrial park in real time, and when an emergency occurs in the industrial park, performing frame processing on the real-time surveillance video, determining the time point corresponding to each video frame, converting each video frame into numerical data, and obtaining a multidimensional array corresponding to each video frame in combination with the corresponding time point;

[0153] a range division unit, configured to input each of the multidimensional arrays into the large model for data analysis based on a chronological order, divide the industrial park into a plurality of emergency impact ranges according to the emergency hazard location and emergency hazard attributes in the industrial park, and determine a range radius and hazard level corresponding to each emergency impact range;

[0154] a training and analysis unit, configured to derive a plurality of affected features corresponding to each of the emergency impact ranges based on the emergency hazard attributes, perform multi-angle learning training on each of the affected features using a preset collaborative neural network, obtain a plurality of scenario parameters corresponding to each of the affected features, analyze parameter logic between different scenario parameters, determine feature relationships between different affected features, and construct a corresponding feature tree;

[0155] a feature analysis unit configured to construct, based on the feature tree, a correlation influence factor corresponding to each affected feature, use the large model to construct a corresponding first feature handling solution for the target affected feature having the largest correlation influence factor, determine, based on the feature tree, a causal treatment result of the first feature handling solution for each affected feature, and construct a second handling solution for the corresponding affected feature based on the causal treatment result;

[0156] A solution generation unit is used to obtain the treatment plan corresponding to each of the affected features to construct a hazard treatment plan for the industrial park, search for the hazard treatment plan corresponding to each of the emergency impact ranges in the hazard treatment plan, and transmit it to the corresponding display terminal for display.

[0157] In this example, frame segmentation processing refers to the process of dividing the real-time monitoring video into picture frames;

[0158] In this example, one video frame corresponds to one time point, and the time point represents the moment when the video frame is generated;

[0159] In this example, the numerical data represents the result of expressing the video frame in a data manner;

[0160] In this example, the multidimensional array represents the result of expressing the video frame using the three dimensions of RGB;

[0161] In this example, the affected feature represents the feature presented when an emergency impact range produces a corresponding impact due to the influence of the emergency danger attribute;

[0162] In this example, the preset collaborative neural network represents a network used for multi-temporal learning;

[0163] In this instance, multi-perspective learning training represents the process of analyzing the manifestations of the affected features in different scenarios;

[0164] In this instance, the scenario parameters represent the parameters presented by the affected features in different scenarios;

[0165] In this instance, parameter logic indicates that there are logical relationships between scene parameters of different affected features;

[0166] In this example, the feature tree represents a binary tree used to express the logical relationship between different affected features;

[0167] In this example, the correlation impact factor indicates the degree to which an affected feature is interfered with by other affected features;

[0168] In this example, the causal treatment result represents the impact of the first feature treatment solution on the affected feature.

[0169] The working principle and beneficial effects of the above technical solution: Since the projects in the industrial park are complicated, but the logic is clear, when an emergency occurs in the industrial park, it is not possible to deal with it only at the place where the situation occurs, but also to consider the situation of the relevant departments. Therefore, when an emergency occurs, the real-time monitoring video is first frame-processed and numerically converted to obtain several groups of multi-dimensional arrays arranged in time sequence. The large model is used to analyze it, and the industrial park is divided into several emergency impact ranges. The affected features of each emergency impact range when it is disturbed by the emergency are derived, and then the affected features are trained from multiple angles, and the affected features are trained according to their different scenarios. The parameter logic between the scenario parameters is used to construct a feature tree, and the associated impact factors of each affected feature are determined. In order to quickly build a disposal plan, the target affected feature with the largest associated impact factor is first selected to construct the corresponding first disposal plan, and the synchronous disposal results of the plan for the remaining affected features are determined. Then, associated impact factors with increasingly smaller associated impact factors are selected in turn and corresponding disposal plans are built. Finally, a hazard disposal plan for the industrial park is constructed, and a hazard disposal plan for each emergency impact range is determined. In this way, not only can we respond to emergencies within the industrial park in a timely manner, but we can also ensure the normal operation of other areas within the industrial park and reduce losses.

[0170] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A large-scale model-based industrial park emergency command and dispatch method, characterized in that: include: Step 1: Identify safety hazards in the industrial park using visual technology and use a large model to build a hazard treatment plan for the industrial park; Step 2: When an emergency occurs in the industrial park, the industrial park is divided into several emergency impact areas using the large model, and a corresponding hazard disposal plan is constructed for each emergency impact area; Step 3: Collecting information on personnel stranded within each emergency impact area, and establishing an evacuation plan for on-site personnel based on the hazard attributes of the emergency impact area; Step 4: According to the on-site emergency data of the industrial park, determine the disposal deficiencies of the current emergency disposal, generate corresponding emergency command commands and conduct on-site command of the corresponding site.

2. The large-scale model-based industrial park emergency command and dispatch method according to claim 1, characterized in that: The step 1 comprises: Step 11: Using visual recognition technology to extract features from the historical surveillance videos of the industrial park, obtain several historical local features of the industrial park, synchronously compare the historical local features corresponding to the same park area, obtain the local feature cycle corresponding to each park area, and construct the coarse feature change trend of each park area; Step 12: Using visual recognition technology to extract features from the real-time surveillance video of the industrial park, obtaining a number of real-time local features of the industrial park, performing feature comparison on the corresponding real-time local features using the coarse feature transformation trends, and extracting target real-time local features that are inconsistent with the coarse feature transformation trends; Step 13: Locating a target park area corresponding to the target real-time local feature in the real-time monitoring video, deducing project parameters of the target park area based on regional engineering projects in the target park area and the target real-time local feature, and determining safety hazards in the target park area; Step 14: Input the safety hazards and the regional engineering projects into the large model to trace the hazard sources, obtain the causes and locations of the hazards in the target park area, screen the corresponding initial hazard treatment plans, decompose the regional engineering projects, determine the engineering parameters corresponding to the hazard locations, use the engineering parameters to adjust the data of the initial hazard treatment plan, and obtain the hazard treatment plan for the industrial park.

3. The large-scale model-based industrial park emergency command and dispatch method according to claim 2, characterized in that: Also includes: The real-time local features are used to determine the regional engineering progress corresponding to the industrial park area, and the safety hazard database of the industrial park is updated according to the regional engineering progress.

4. The large-scale model-based industrial park emergency command and dispatch method according to claim 1, characterized in that: The step 2 comprises: Step 21: Monitor the real-time surveillance video of the industrial park in real time. When an emergency occurs in the industrial park, the real-time surveillance video is framed and the time point corresponding to each video frame is determined. Each video frame is converted into numerical data, and a multidimensional array corresponding to each video frame is obtained by combining the corresponding time point. Step 22: Inputting each of the multidimensional arrays into the large model for data analysis based on time sequence, dividing the industrial park into a plurality of emergency impact areas according to the emergency hazard location and emergency hazard attributes in the industrial park, and determining the range radius and hazard level corresponding to each emergency impact area; Step 23: Derives a plurality of affected features corresponding to each of the emergency impact ranges based on the emergency hazard attributes, performs multi-angle learning training on each of the affected features using a preset collaborative neural network, obtains a plurality of scenario parameters corresponding to each of the affected features, analyzes the parameter logic between different scenario parameters, determines the feature relationships between different affected features, and constructs a corresponding feature tree; Step 24: constructing a correlation influence factor corresponding to each affected feature based on the feature tree, constructing a corresponding first feature treatment plan for the target affected feature with the largest correlation influence factor using the large model, determining a causal treatment result of the first feature treatment plan for each affected feature based on the feature tree, and constructing a second treatment plan for the corresponding affected feature based on the causal treatment result; Step 25: Obtain the disposal plan corresponding to each of the affected features to construct a hazard disposal plan for the industrial park, search for the hazard disposal plan corresponding to each of the emergency impact areas in the hazard disposal plan, and transmit the hazard disposal plan to a corresponding display terminal for display.

5. The industrial park emergency command and dispatch method based on a large model as claimed in claim 1, characterized in that: The step 3 comprises: Step 31: Draw a plurality of park channels of the industrial park based on the park map of the industrial park, map the range radius and danger level corresponding to each emergency impact range and each park channel into the large model, and determine the channel safety corresponding to different park channels in each emergency impact range; Step 32: Using visual technology to identify the activity information of on-site personnel in the industrial park, setting a corresponding priority for each of the park channels based on the channel safety, simulating the evacuation path corresponding to each on-site personnel in the large model, and marking a number of path turning points corresponding to each on-site personnel in the large model; Step 33: Identify the hazard attributes corresponding to each emergency impact area, determine the hazard dwell time corresponding to each path inflection point, use the hazard dwell time to perform a safety assessment on the number of people waiting to pass through the corresponding path inflection point, and adjust the evacuation path corresponding to the on-site personnel based on the assessment result; Step 34: Determine the guided evacuation path and the dangerous prohibited path of the industrial park based on the channel safety corresponding to each of the park channels, and construct an evacuation disposal plan for the industrial park in combination with the effective evacuation path corresponding to each of the on-site personnel and transmit it to the corresponding display terminal for display.

6. The large-scale model-based industrial park emergency command and dispatch method according to claim 1, characterized in that: Also includes: Collect inquiries from relevant users through terminals, answer the inquiries based on the danger disposal plan and the evacuation disposal plan, and provide feedback through the corresponding terminals.

7. The large-scale model-based industrial park emergency command and dispatch method according to claim 1, characterized in that: The step 4 comprises: Step 41: When an emergency occurs in the industrial park, collect on-site emergency data of the industrial park in different dimensions, and restore several real-time emergency measures of the industrial park based on the on-site emergency data; Step 42: Determine the real-time emergency response effect of the industrial park based on the emergency location corresponding to each real-time emergency measure, and identify handling deficiencies when executing the real-time emergency measure; Step 43: Constructing on-site disposal measures for the disposal defects according to the hazard disposal plan and the evacuation disposal plan; Step 44: Construct a corresponding emergency command command based on the on-site disposal measures and transmit it to the target terminal closest to the disposal defect for on-site command.

8. The large-scale model-based industrial park emergency command and dispatch method according to claim 2, characterized in that: Also includes: The potential safety hazards in the industrial park are counted, and a hazard report of the industrial park is constructed and displayed.

9. An industrial park emergency command and dispatch platform based on a large model, characterized by: include: A hidden danger identification module is used to identify safety hazards in industrial parks based on visual technology and build hidden danger disposal plans for the industrial parks using large models; a hazard handling module, configured to divide the industrial park into a number of emergency impact areas using the large model when an emergency occurs in the industrial park, and to construct a corresponding hazard handling plan for each emergency impact area; An evacuation and disposal module is used to collect information on the personnel stranded within each emergency impact area and establish an evacuation and disposal plan for on-site personnel based on the dangerous attributes of the emergency impact area; The on-site emergency module is used to determine the disposal defects of the current emergency disposal based on the on-site emergency data of the industrial park, generate corresponding emergency command commands and conduct on-site command of the corresponding site.

10. The large-scale model-based industrial park emergency command and dispatch platform according to claim 9, characterized in that: The hazard handling module includes: a video processing unit for monitoring the real-time surveillance video of the industrial park in real time, and when an emergency occurs in the industrial park, performing frame processing on the real-time surveillance video, determining the time point corresponding to each video frame, converting each video frame into numerical data, and obtaining a multidimensional array corresponding to each video frame in combination with the corresponding time point; a range division unit, configured to input each of the multidimensional arrays into the large model for data analysis based on a chronological order, divide the industrial park into a plurality of emergency impact ranges according to the emergency hazard location and emergency hazard attributes in the industrial park, and determine a range radius and hazard level corresponding to each emergency impact range; a training and analysis unit, configured to derive a plurality of affected features corresponding to each of the emergency impact ranges based on the emergency hazard attributes, perform multi-angle learning training on each of the affected features using a preset collaborative neural network, obtain a plurality of scenario parameters corresponding to each of the affected features, analyze parameter logic between different scenario parameters, determine feature relationships between different affected features, and construct a corresponding feature tree; a feature analysis unit configured to construct, based on the feature tree, a correlation influence factor corresponding to each affected feature, use the large model to construct a corresponding first feature handling solution for the target affected feature having the largest correlation influence factor, determine, based on the feature tree, a causal treatment result of the first feature handling solution for each affected feature, and construct a second handling solution for the corresponding affected feature based on the causal treatment result; A solution generation unit is used to obtain the treatment plan corresponding to each of the affected features to construct a hazard treatment plan for the industrial park, search for the hazard treatment plan corresponding to each of the emergency impact ranges in the hazard treatment plan, and transmit it to the corresponding display terminal for display.

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