Interval flood gate state-based linkage control method and system

Abstract

The invention relates to a linkage control method and system based on the state of an interval flood gate, and belongs to the technical field of intelligent protection control, and the linkage control method comprises the steps: collecting the real-time state of the flood gate of each interval in an underground facility, external water level data and real-time rainfall data; inputting the external water level data and the real-time rainfall data into a pre-trained risk early warning model to obtain a risk early warning level; determining each corresponding to-be-closed interval according to the risk early warning level; according to the real-time state of the flood gate of each to-be-closed interval, determining the to-be-closed interval of which the real-time state of the flood gate is in an open state, and obtaining a list of the to-be-closed intervals; sorting the to-be-closed interval list based on a preset interval closing priority; and generating a step-by-step closing control instruction according to the sorted to-be-closed interval list. According to the method, the closing requirement of each section can be flexibly met, and the closing safety of important sections and the reliability of personnel evacuation in the disaster diffusion period are fully guaranteed.

Description

Technical Field

[0001] The present application relates to the field of intelligent protection control technology, and in particular to a linkage control method and system based on the state of an interval flood prevention door. Background Art

[0002] Flood control and flood prevention are very important safety protection issues in underground transportation facilities and underground complexes. Underground facilities often have large-scale personnel flow and equipment storage areas. Once there is a threat of heavy rain or flooding, the rising water level may cause water backflow, which in turn leads to serious consequences such as casualties, equipment damage, and operational interruption. For this reason, underground facilities are usually equipped with flood doors, which can be quickly closed in an emergency to prevent floods from entering important areas.

[0003] However, common flood control door control systems usually rely on feedback from a single water level sensor or meteorological data to initiate closure operations, making it difficult to accurately assess real-time risks. Moreover, for long-distance underground facilities such as subway sections and underground tunnels, when faced with different risk situations, it is impossible to flexibly meet the closure needs of each section, making it difficult to ensure priority protection for high-risk sections, and unable to fully guarantee the closure safety of important sections and the reliability of personnel evacuation during the spread of disasters. Summary of the invention

[0004] In order to improve safety and protection reliability, the present application provides a linkage control method and system based on the status of interval flood prevention doors.

[0005] In a first aspect, the present application provides a linkage control method based on the state of an interval flood prevention door, which adopts the following technical solution: A linkage control method based on the state of a zone flood prevention door, the linkage control method comprising: Collect the real-time status of flood control doors in each section of underground facilities, as well as external water level data and real-time rainfall data; Inputting the external water level data and real-time rainfall data into a pre-trained risk warning model for comprehensive analysis to obtain a risk warning level; Determine the corresponding intervals to be closed according to the risk warning level; According to the real-time status of the flood-proof doors of each of the sections to be closed, determine the sections to be closed whose real-time status of the flood-proof doors is open, and obtain a list of sections to be closed; sorting the list of intervals to be closed based on a preset interval closing priority; A step-by-step closing control instruction is generated according to the sorted list of sections to be closed; wherein the step-by-step closing control instruction is used to step-by-step control the closing of the flood control doors of each section to be closed in the list of sections to be closed.

[0006] By adopting the above-mentioned technical solution, real-time data from inside and outside underground facilities are collected, and a comprehensive risk analysis is conducted using a risk warning model. By providing more accurate risk assessment results, the intervals to be closed are determined and sorted according to priority, thereby achieving priority protection for high-risk intervals or important intervals. At the same time, the gradual closure strategy avoids the "one-size-fits-all" control of traditional methods, which not only ensures the safe closure of high-priority intervals, but also provides more flexible scheduling for personnel evacuation and subsequent protection, thereby realizing the intelligent linkage control of interval flood control doors, improving the accuracy and timeliness of flood control emergency response, and effectively ensuring personnel safety and facility integrity.

[0007] Optionally, the control method further includes a training step of the risk warning model, and the training step includes: Acquire a historical sample data set; wherein the historical sample data set includes historical external water level data and historical rainfall data and pre-marked risk warning level labels; Performing data preprocessing on the historical sample data set; Divide the preprocessed historical sample data set into a training set, a validation set, and a test set; The pre-built long short-term memory network model is initially trained based on the training set, and the long short-term memory network model after the initial training is verified and the model parameters are optimized based on the verification set and the test set to obtain the risk warning model.

[0008] By adopting the above technical solutions, the system can learn the laws and patterns of risk warning levels from the time series data of water level and rainfall. The advantages of the LSTM model in processing time series data make it particularly suitable for the risk warning needs of underground facilities. It can accurately predict the risk level at different time steps and provide efficient support for the closure control and warning response of flood control doors.

[0009] Optionally, the steps of performing initial training on a pre-built long short-term memory network model based on the training set, and verifying and optimizing model parameters of the initially trained long short-term memory network model based on the verification set and the test set to obtain the risk warning model include: Inputting the training set into a pre-built long short-term memory network model for training, optimizing the model parameters and calculating the combined loss function of the model until the combined loss function meets the preset conditions, thereby obtaining the trained risk warning model; wherein the combined loss function includes a prediction error and a regularization term; Verifying the risk warning model according to the verification set, evaluating the performance of the risk warning model and adjusting the hyperparameters of the risk warning model; The prediction accuracy of the adjusted risk warning model is tested based on the test set.

[0010] By adopting the above technical solution, a robust LSTM risk warning model was constructed through a multi-stage process of optimizing model parameters with a training set, adjusting hyperparameters with a validation set, and verifying generalization performance with a test set. This model can effectively predict the risk level based on water level and rainfall, provide scientific support for risk warning and protection of underground facilities, and ensure that the model is highly accurate and reliable in practical applications.

[0011] Optionally, the step of determining the corresponding intervals to be closed according to the risk warning level includes: Determine whether the risk warning level exceeds the corresponding safety threshold; if so, determine the corresponding interval closure range according to the risk warning level; generating an interval structure diagram based on interval structure information of each interval in the underground facility; Each of the intervals to be closed is identified in the interval structure diagram according to the interval closing range.

[0012] By adopting the above technical solution, we first determine whether the risk level exceeds the safety threshold. If it does, the interval closure range is set according to the warning level, a structural diagram is generated and the interval to be closed is identified, thereby achieving the goal of dynamically adjusting the closure range and determining the priority closure interval according to different risk levels, effectively improving the flexibility and scientific nature of emergency protection, ensuring that key areas can be quickly closed under high-risk conditions, and at the same time reasonably dispatching resources to protect the safety of personnel and assets.

[0013] Optionally, after the step of sorting the list of intervals to be closed based on preset interval closing priorities, the method further includes: Obtaining the real-time status of the flood-proof door of each to-be-closed section in the to-be-closed section list; wherein the real-time status of the flood-proof door includes the communication status, the power supply status and the transmission system status; Determine whether the real-time status of the flood-prevention door of each to-be-closed section is abnormal, and if so, determine the to-be-closed section with the abnormal real-time status of the flood-prevention door as an abnormal section; In the list of intervals to be closed, the closure priority of the intervals to be closed that are adjacent to the abnormal interval is increased, and the abnormal interval is removed from the list of intervals to be closed; According to the location information of the abnormal section and the abnormal type, maintenance alarm information is generated and sent to the maintenance terminal.

[0014] By adopting the above technical solution, the status of the flood-proof doors is detected and abnormal intervals are screened out before generating a closing instruction to ensure that the closing operation only covers the intervals in normal status, reducing the protection gaps caused by abnormal flood-proof doors; at the same time, the steps of increasing the priority of adjacent intervals and sending maintenance alarms further enhance the flexibility and emergency response capabilities of the system, so that the safety of underground facilities can be more robustly guaranteed in emergencies.

[0015] Optionally, after the step of generating maintenance alarm information and sending it to the maintenance terminal, the step further includes: Receive maintenance feedback information from the maintenance terminal in real time and determine whether the maintenance is successful; If yes, the abnormal interval is restored to the interval to be closed and added to the list of intervals to be closed; If not, the abnormal interval is modified and marked as an interval to be monitored, and when there are abnormalities in the water level and environmental conditions of the interval to be monitored, an emergency alarm signal is sent to the maintenance terminal.

[0016] By adopting the above technical solution, the interval status is dynamically adjusted according to the maintenance feedback received in real time, and an emergency alarm mechanism is established to ensure that in the case of abnormal flood control doors, the system can quickly judge and process the maintenance results and realize dynamic management of the interval. In addition, for the intervals where maintenance fails, by setting the "to be monitored" status and monitoring the environmental data in real time, the system can promptly alarm and take countermeasures when sudden risks occur. This technical solution significantly improves the flexibility, emergency response capability and protection efficiency of the system, and provides more robust protection for underground facilities.

[0017] Optionally, before the step of generating a step-by-step closing control instruction according to the sorted list of intervals to be closed, the method further includes: Real-time detection of personnel distribution data of each to-be-closed interval in the to-be-closed interval list; Determine the personnel density level of each to-be-closed area according to the personnel distribution data; Determine a corresponding alarm level according to the personnel density level; Generate corresponding closure alarm information according to the alarm level and send it to the alarm module of each section to be closed; wherein the closure alarm information includes closure alarm prompt and personnel evacuation route.

[0018] By adopting the above technical solutions, in the event of an emergency, clear closure alarms and clear evacuation instructions can provide personnel with timely evacuation guidance. Through the intelligent allocation of different alarm levels and evacuation routes, it can not only guide people to evacuate in a dispersed manner and avoid unnecessary congestion, but also ensure the orderliness of the evacuation process of underground facilities such as subways or tunnels.

[0019] In the second aspect, the present application provides a linkage control system based on the state of the interval flood prevention door, which adopts the following technical solution: A linkage control system based on the state of a zone flood prevention door, the linkage control system comprising: Collect the real-time status of flood control doors in each section of underground facilities, as well as external water level data and real-time rainfall data; Inputting the external water level data and real-time rainfall data into a pre-trained risk warning model for comprehensive analysis to obtain a risk warning level; Determine the corresponding intervals to be closed according to the risk warning level; According to the real-time status of the flood-proof doors of each of the sections to be closed, determine the sections to be closed whose real-time status of the flood-proof doors is open, and obtain a list of sections to be closed; sorting the list of intervals to be closed based on a preset interval closing priority; A step-by-step closing control instruction is generated according to the sorted list of sections to be closed; wherein the step-by-step closing control instruction is used to step-by-step control the closing of the flood control doors of each section to be closed in the list of sections to be closed.

[0020] In a third aspect, the present application provides a computer device, which adopts the following technical solution: A computer device comprises a memory, a processor and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the method as described in the first aspect.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the methods in the first aspect.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: by collecting the status of the flood-proof doors of each section in the underground facility in real time and the external water level and rainfall data, a risk warning level is generated based on a comprehensive analysis of the pre-trained risk warning model, thereby accurately identifying the high-risk sections that need to be closed. The system sorts the sections to be closed according to the interval closure priority, and generates a step-by-step closure control instruction to ensure that the flood-proof doors of the high-priority sections are closed first, effectively reducing the risk spread, and improving the protection effect of underground facilities and the accuracy and efficiency of emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a first flow chart of a linkage control method based on the state of an interval flood prevention door in one of the embodiments of the present application.

[0024] Figure 2 It is a second flow chart of a linkage control method based on the state of an interval flood prevention door in one of the embodiments of the present application.

[0025] Figure 3 It is a third flow chart of a linkage control method based on the state of an interval flood prevention door in one of the embodiments of the present application.

[0026] Figure 4 It is a fourth flow chart of a linkage control method based on the state of an interval flood prevention door in one of the embodiments of the present application.

[0027] Figure 5 It is a fifth flow chart of a linkage control method based on the state of an interval flood prevention door in one of the embodiments of the present application.

[0028] Figure 6 It is a sixth flow chart of a linkage control method based on the state of an interval flood prevention door in one of the embodiments of the present application.

[0029] Figure 7 It is the seventh flow chart of a linkage control method based on the state of an interval flood prevention door in one of the embodiments of the present application. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-7 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0031] The embodiment of the present application discloses a linkage control method based on the state of a zone flood prevention door.

[0032] Reference Figure 1 , a linkage control method based on the state of an interval flood prevention door, the linkage control method comprising: Step S101, collecting the real-time status of flood control doors in each section of the underground facility, as well as external water level data and real-time rainfall data; The real-time status of the flood-proof door includes but is not limited to the door opening and closing status, communication status, power supply status, and transmission system status; an interval refers to a closed space between two points in an underground facility, such as between subway stations, different sections of a tunnel, etc., and an interval flood-proof door refers to the flood-proof equipment installed between these space sections, which can be automatically linked and controlled in emergency situations such as floods and heavy rains; Specifically, in underground facilities (such as subways or tunnels), by deploying a sensor network, the opening and closing status data of the flood control doors in each section, as well as the water level data and rainfall data of the external environment are collected in real time. The data collection module then stores the collected information in the system database for subsequent monitoring and analysis. For example, sensors are installed in the underground facilities to monitor the status of the flood control doors in sections A and B in real time, monitor the external water level data through water level sensors, and receive rainfall through the meteorological interface.

[0033] Step S102, inputting the external water level data and the real-time rainfall data into the pre-trained risk warning model for comprehensive analysis to obtain the risk warning level; Specifically, the current risk warning level is evaluated by inputting water level data and rainfall data into a risk warning model trained based on historical data. The model can use a neural network algorithm to output the corresponding risk warning level by comprehensively considering the changing trends of water level and rainfall.

[0034] It is understandable that comprehensive analysis based on multi-source data can achieve more accurate risk warnings, reduce misjudgments caused by single data, and improve the accuracy and timeliness of warnings.

[0035] Step S103, determining the corresponding intervals to be closed according to the risk warning level; Among them, according to different risk warning levels, the system divides the intervals into intervals to be closed and intervals to be monitored. High risk levels will trigger the need to close more intervals, while low risk levels correspond to fewer closed intervals. For example, at the "high" warning level, the system determines that intervals A, B, and C are all intervals to be closed; if the warning level is "medium", only intervals A and B are set as intervals to be closed.

[0036] It is understandable that through hierarchical closed control based on risk levels, a wider protection range and faster closed response can be ensured under high risks, thereby enhancing the safety protection effect of the facility.

[0037] Step S104, according to the real-time status of the flood-proof doors of each section to be closed, determine the sections to be closed whose real-time flood-proof doors are in an open state, and obtain a list of sections to be closed; Among them, after determining the sections to be closed, the system further checks the real-time status of the flood control doors of each section, filters and retains the sections to be closed that are in the "open" state in the list of sections to be closed; for example, assuming that the status of the flood control door of section A to be closed is "open", and the status of the flood control door of section B to be closed is "closed", then section A can be retained, and section B does not need to be closed because it is already in the closed state.

[0038] It can be understood that by ensuring that the closing instructions are only sent to the intervals that actually need to be closed, unnecessary control instruction transmission is reduced and control efficiency is improved.

[0039] Step S105, sorting the list of intervals to be closed based on the preset interval closing priority; Among them, in order to ensure the safety of personnel and the protection of assets, the system can pre-set the closure priority for each area, and sort the list of areas to be closed according to the priority, for example, high-risk or crowded areas can be closed first; For example, assuming that section A is a critical channel with a high priority, and section B is a material warehouse with a lower priority, the system will put section A at the top of the list of sections to be closed, so that the system can give priority to protecting key areas when multiple sections are to be closed, thereby optimizing the safety and timeliness of the closure process.

[0040] Step S106, generating a gradual closure control instruction according to the sorted list of sections to be closed; wherein the gradual closure control instruction is used to gradually control the flood control doors of each section to be closed in the list of sections to be closed to close.

[0041] Specifically, based on the sorted interval list, the system generates a gradual closure control instruction, which is gradually sent to the execution module of the corresponding flood control door in order of priority, ensuring that the closure process is carried out in order of priority, which helps to protect important areas in sequence in an emergency and improve the safety and rationality of linkage control.

[0042] In the above implementation mode, data from inside and outside the underground facilities are collected in real time, and a comprehensive risk analysis is performed using a risk warning model. By providing more accurate risk assessment results, the intervals to be closed are determined and sorted according to priority, thereby achieving priority protection for high-risk intervals or important intervals. At the same time, the gradual closure strategy avoids the "one-size-fits-all" control of traditional methods, which not only ensures the safe closure of high-priority intervals, but also provides more flexible scheduling for personnel evacuation and subsequent protection, thereby realizing intelligent linkage control of interval flood control doors, improving the accuracy and timeliness of flood control emergency response, and effectively ensuring personnel safety and facility integrity.

[0043] Reference Figure 2 As an implementation method of the risk warning model, the training steps of the risk warning model include: Step S201, obtaining a historical sample data set; Among them, the historical sample data set includes historical external water level data and historical rainfall data as well as pre-annotated risk warning level labels; In some embodiments, risk warning level labels are pre-labeled based on actual risk conditions brought about by different water levels and rainfall amounts in historical events, providing an effective learning objective for the model.

[0044] It is understandable that the acquisition of historical sample data provides the model with risk scenarios in actual environments, enabling the model to learn risk assessment standards through real data and provide high-quality training samples for warning level prediction.

[0045] Step S202, performing data preprocessing on the historical sample data set; Specifically, since historical sample data may contain noise, missing values ​​or abnormal data, a data preprocessing step can ensure the data quality of the model input; among them, data preprocessing usually includes missing value filling, outlier processing, normalization and other operations, so that the data meets a unified numerical range and format standards before model input.

[0046] For example, if some water level data is missing in the sample data, the system can fill it in through interpolation, normalizing all water level values ​​and rainfall data to the range of 0-1 to ensure that different data levels will not affect model training.

[0047] Step S203, dividing the preprocessed historical sample data set into a training set, a validation set and a test set; The training set is used for model learning, the validation set is used to adjust model parameters, and the test set is used to evaluate the performance of the model on unseen data to avoid overfitting of the model. For example, 70% of the sample data can be allocated as a training set, 15% as a validation set, and 15% as a test set.

[0048] Step S204, initially training the pre-built long short-term memory network model based on the training set, and verifying and optimizing the model parameters of the initially trained long short-term memory network model based on the verification set and the test set to obtain a risk warning model.

[0049] Specifically, the long short-term memory network (LSTM) is a better choice of neural network model. It is good at processing time series data and can well capture the trends and patterns of water level and rainfall changes over time. It is very suitable for risk warning scenarios based on water level and rainfall in this application.

[0050] Among them, the network structure of the risk warning model obtained by the present application based on the long short-term memory network includes an input layer, an LSTM layer, a fully connected layer and an output layer; the input layer is mainly used to receive time series data, including historical water level data and rainfall data, and each time step corresponds to a set of features (for example, a combination of water level and rainfall); the LSTM layer includes one or more layers of LSTM units, which are responsible for processing the time series relationship of the input data, and can enable the model to effectively understand the trend of the current risk level by remembering the water level and rainfall information of the previous steps; the fully connected layer is used to pass the output of the LSTM layer to the fully connected layer, and convert the time series output into an output space suitable for the classification task; the output layer is used to output the probability distribution of different risk warning levels (such as "low", "medium", and "high").

[0051] During the training process, the data of the training set is input into the LSTM model in time steps. The model gradually adjusts the network parameters through back propagation and gradient descent algorithms to make the output risk warning level closer to the label. The LSTM layer can extract patterns in multi-step time data through memory and forgetting mechanisms to predict the current risk level. After the training is completed, the system evaluates the accuracy of the model through the validation set and optimizes the model performance by adjusting the learning rate, regularization parameters, etc. Finally, the generalization effect of the model on unknown data is evaluated through the test set to ensure the performance of the model in the actual environment.

[0052] In the above implementation, the system can learn the rules and patterns of risk warning levels from the time series data of water level and rainfall. The advantages of the LSTM model in processing time series data make it particularly suitable for the risk warning needs of underground facilities. It can accurately predict the risk level at different time steps and provide efficient support for the closure control and warning response of flood control doors.

[0053] Reference Figure 3 As an implementation method of step S204, the pre-built long short-term memory network model is initially trained based on the training set, and the long short-term memory network model after the initial training is verified and the model parameters are optimized based on the verification set and the test set, and the step of obtaining the risk warning model includes: Step S301, input the training set into the pre-built long short-term memory network model for training, optimize the model parameters and calculate the combined loss function of the model until the combined loss function meets the preset conditions, and obtain the trained risk warning model; Among them, the combined loss function includes prediction error and regularization term; In one of the embodiments of the present application, the training set data is input into a pre-built LSTM model for preliminary training. The training process uses a gradient descent algorithm to gradually optimize the parameters of the model through back propagation. The model measures the gap between the predicted value and the actual label by calculating a combined loss function (specifically including prediction error and regularization terms). The value of the combined loss function is used to evaluate the performance of the model. The system continuously adjusts the model parameters until the combined loss function reaches a preset condition (that is, the loss function value is less than a set threshold or there is no obvious decrease after multiple iterations) to ensure that the model error converges.

[0054] Step S302, verifying the risk warning model according to the verification set, evaluating the performance of the risk warning model and adjusting the hyperparameters of the risk warning model; Specifically, after the initial training is completed, the system inputs the validation set data into the model for verification, with the aim of evaluating the model's generalization ability on unseen data. During the verification process, the system evaluates the model's performance indicators (such as accuracy, recall, F1 score, etc.) to determine the applicability of the model. If the model performance does not meet expectations, the system can optimize the model performance by adjusting the model's hyperparameters (such as learning rate, number of LSTM units, regularization coefficient, etc.) to reduce overfitting or underfitting.

[0055] Step S303, testing the prediction accuracy of the adjusted risk warning model based on the test set.

[0056] Specifically, after the hyperparameter adjustment is completed, the system uses the test set to perform a final evaluation of the model to test the prediction accuracy of the model on unseen data. The test set data does not participate in the training and validation process to ensure that the evaluation results reflect the performance of the model in actual applications, and the prediction accuracy and stability of the model are confirmed by analyzing the test results. In some embodiments, the test indicators may include accuracy, recall, mean square error, etc.

[0057] In the above implementation, a robust LSTM risk warning model is constructed through a multi-stage process of optimizing model parameters with a training set, adjusting hyperparameters with a validation set, and verifying generalization performance with a test set. The model can effectively predict the risk level based on water level and rainfall, provide scientific support for risk warning and protection of underground facilities, and ensure that the model is highly accurate and reliable in practical applications.

[0058] Reference Figure 4 As an implementation of step S103, the step of determining the corresponding intervals to be closed according to the risk warning level includes: Step S401, determine whether the risk warning level exceeds the corresponding safety threshold; if so, jump to step S402; if not, do not perform any operation; Among them, after receiving the latest risk warning level, the system first determines whether the level exceeds the preset safety threshold. The risk warning level is generated based on real-time monitoring of environmental data such as water level and rainfall. If the risk warning level is higher than the safety threshold, it indicates that the current situation has a high potential risk and more stringent closure measures are needed to ensure the safety within the facility.

[0059] Step S402, determining the corresponding interval closure range according to the risk warning level; Specifically, when the risk warning level exceeds the safety threshold, the system determines the specific interval closure range based on the warning level. High risk levels usually correspond to larger closure intervals to cover areas with higher potential risks and prevent water flows or other disasters from spreading to adjacent areas.

[0060] Step S403, generating an interval structure diagram according to the interval structure information of each interval in the underground facility; The system retrieves structural information of each section in the underground facility from the database, including the adjacent relationship of the sections, channel connections, main functions (such as channels, storage areas, etc.), personnel flow and importance level, etc. Based on these data, a section structure diagram is generated to clearly show the location relationship and connection of each section, providing support for subsequent closure decisions.

[0061] Step S404: Mark each interval to be closed in the interval structure diagram according to the interval closing range.

[0062] The system combines the determined closed range with the interval structure diagram, and marks the intervals to be closed one by one on the structure diagram. The identification information of each interval to be closed includes its position and the adjacent relationship with other intervals.

[0063] In the above implementation, it is first determined whether the risk level exceeds the safety threshold. If so, the interval closure range is set according to the warning level, a structural diagram is generated and the interval to be closed is identified, thereby achieving the goal of dynamically adjusting the closure range and determining the priority closure interval according to different risk levels, effectively improving the flexibility and scientific nature of emergency protection, ensuring that key areas can be quickly closed under high-risk conditions, and at the same time reasonably dispatching resources to protect the safety of personnel and assets.

[0064] Reference Figure 5 As a further implementation of the linkage control method, after the step of sorting the list of intervals to be closed based on the preset interval closing priority, the method further includes: Step S501, obtaining the real-time status of the flood control door of each section to be closed in the list of sections to be closed; Among them, the real-time status of the flood control door includes communication status, power status and transmission system status; Specifically, after sorting the list of sections to be closed by priority, the system further obtains the real-time status information of the flood-proof doors in each section to be closed to ensure that the system has a comprehensive understanding of the operability of the flood-proof doors before performing the closing operation, and to ensure that the closing operation will not fail due to a failure of the flood-proof doors; wherein the real-time status of the flood-proof doors includes the communication status, power status and transmission system status.

[0065] For example, assuming that sections A, B, and C are determined to be sections to be closed, the system obtains the communication status (whether they are online), power status (power sufficiency or power switching status), and transmission system status (whether there is jamming or abnormal resistance when opening or closing) of the flood prevention doors in these sections one by one.

[0066] Step S502, respectively determine whether the real-time status of the flood-proof door of each section to be closed is abnormal, if yes, jump to step S503; if no, return to step S502 to continue to determine the real-time status of the flood-proof door of the next section to be closed; Step S503, determining the to-be-closed section where the real-time status of the flood prevention door is abnormal as an abnormal section; Among them, if the communication status shows offline, the power status is abnormal, or the transmission system fails, the system will mark the flood control door as "abnormal status". By timely identifying potential abnormal flood control doors, it ensures that the problem can be discovered before the closing operation, thereby avoiding operational failure during actual closure.

[0067] Step S504, increasing the closing priority of the interval to be closed that is adjacent to the abnormal interval in the list of intervals to be closed, and removing the abnormal interval from the list of intervals to be closed; Specifically, once the real-time status of the anti-flooding door is detected to be abnormal, the system removes the interval from the list of intervals to be closed and marks it as an "abnormal interval" to avoid the inability to execute the closing instruction due to the abnormality of the anti-flooding door.

[0068] It is understandable that since the flood prevention doors in the abnormal interval cannot be closed normally, the system will increase the closure priority of the adjacent intervals to form alternative protection. By ensuring that the protection of the adjacent intervals is completed earlier, the safety gap in the abnormal interval is filled, and abnormal situations in a single interval can be effectively dealt with.

[0069] For example, if interval A is an abnormal interval, the system will increase the closure priority of interval B adjacent to it from medium priority to high priority to ensure that the protection of interval B is completed earlier near the abnormal interval.

[0070] Step S505: Generate maintenance alarm information according to the location information of the abnormal section and the abnormal type and send it to the maintenance terminal.

[0071] Among them, the maintenance alarm information includes the location of the abnormal section, the type of abnormality (communication failure, power failure or transmission failure, etc.), and the information is sent to the maintenance terminal to ensure that maintenance personnel understand and take repair measures in time to provide support for subsequent closed operations and overall safety protection.

[0072] In the above implementation, the status of the flood control doors is detected and abnormal intervals are screened out before generating a closing instruction to ensure that the closing operation only covers intervals with normal status, thereby reducing protection gaps caused by abnormal flood control doors; at the same time, the steps of increasing the priority of adjacent intervals and sending maintenance alarms further enhance the flexibility and emergency response capabilities of the system, so that the safety of underground facilities can be more robustly protected in emergencies.

[0073] Reference Figure 6 As a further implementation of the linkage control method, after the step of generating maintenance alarm information and sending it to the maintenance terminal, it also includes: Step S601, receiving maintenance feedback information from the maintenance terminal in real time and determining whether the maintenance is successful; if so, jumping to step S602; if not, jumping to step S603; Specifically, after sending the maintenance alarm information, the system monitors the feedback information of the maintenance terminal in real time. After the maintenance personnel complete the repair operation, they feedback the maintenance status (such as repair completion or repair failure) through the maintenance terminal. The system determines whether the normal function of the flood prevention door is successfully restored based on the feedback information, ensuring that the operability of the flood prevention door is effectively restored in an emergency, laying the foundation for the subsequent execution of the closure command.

[0074] For example, the flood control door transmission system of section A is abnormal, and the maintenance personnel perform maintenance and repair after receiving the alarm; after completing the repair, the maintenance personnel feedback the "repair completed" status through the maintenance terminal; the system receives this feedback information and determines that the maintenance is successful.

[0075] Step S602, restore the abnormal interval to the interval to be closed and add it to the list of intervals to be closed; Specifically, when the system determines that the maintenance is successful, it automatically re-marks the abnormal interval as a "to-be-closed interval" and adds it to the list of intervals to be closed for closure control in the original or updated priority order. This process ensures that the repaired interval can resume normal closure function and improves the overall protection capability of the system.

[0076] Step S603: modify the abnormal interval to be marked as a monitored interval, and send an emergency alarm signal to the maintenance terminal when the water level and environmental conditions of the monitored interval are abnormal.

[0077] Specifically, if the system receives "repair failure" feedback information from the maintenance terminal, it will mark the section as "section to be monitored", indicating that the section cannot restore the closure function under the current conditions and needs to be transferred to the monitoring state. By timely adjusting the state of the section that cannot be restored, the system can focus resources on other closable sections for protection operations, improve the efficiency of system resource utilization, and reduce invalid operations. For example, if the anti-flood door of section A fails in the repair of the transmission system fault, the system will mark section A as "section to be monitored" and will no longer issue a closure instruction to it.

[0078] It should be noted that for the monitored intervals that are in abnormal state and cannot be maintained in time, the water level and environmental status (such as humidity data) in the tracking interval should be monitored in real time. When the water level continues to rise or the humidity exceeds the set threshold, an emergency alarm will be triggered to the maintenance terminal, so as to timely upgrade the closure priority of adjacent intervals or set temporary protection measures according to the risk changes. For example, temporary protection equipment such as emergency water pumps and temporary water retaining plates can be deployed in advance near the monitored interval, so that in an emergency, the water level in the interval can be controlled within an acceptable range or the water flow can be prevented from spreading to adjacent intervals, which helps to improve the emergency response capability of the entire system.

[0079] In the above implementation, the interval status is dynamically adjusted according to the maintenance feedback received in real time, and an emergency alarm mechanism is established to ensure that in the case of abnormal flood control doors, the system can quickly determine and process the maintenance results, thereby achieving dynamic management of the interval. In addition, for intervals where maintenance fails, by setting the "to be monitored" status and monitoring environmental data in real time, the system can promptly alarm and take countermeasures when sudden risks occur. This technical solution significantly improves the flexibility, emergency response capabilities and protection efficiency of the system, and provides more robust protection for underground facilities.

[0080] Reference Figure 7 As a further implementation of the linkage control method, before the step of generating a step-by-step closing control instruction according to the sorted list of intervals to be closed, the method further includes: Step S701, real-time detection of personnel distribution data of each to-be-closed interval in the to-be-closed interval list; Among them, by arranging personnel detection sensors in each section to be closed, the personnel distribution data of each section is collected in real time. These data will be used to determine the density of personnel distribution in each section and provide a basis for subsequent evacuation decisions.

[0081] It is understandable that when the water level in the subway or tunnel rises or a sudden flood occurs, the density of people in each section is directly related to the evacuation needs. Real-time detection of personnel data enables the system to understand the personnel situation in each section in a timely manner, providing key support for subsequent alarms and evacuations, and ensuring the safety of passengers and staff.

[0082] Step S702, determining the personnel density level of each to-be-closed area according to the personnel distribution data; Among them, the division of personnel density levels allows the system to distinguish the density of people in each area, making it easier to accurately issue closure alarms. Especially in high-density areas, higher alarm levels can be used to remind people to evacuate, which can effectively avoid congestion and ensure a safe and orderly evacuation process.

[0083] Step S703, determining the corresponding alarm level according to the personnel density level; Specifically, the system sets an alarm level for each area to be closed based on the population density level. For example, the alarm levels are divided into low, medium, and high, corresponding to different alarm methods and intensities, to ensure that people in high-density areas can obtain clear alarm information in the first place, thereby effectively reminding people in high-density areas to evacuate quickly and ensure the safety of crowded areas. While avoiding waste of resources, it also reduces excessive alarms in low-density areas and prevents the spread of panic.

[0084] Step S704, generating corresponding closure alarm information according to the alarm level, and sending it to the alarm module of each section to be closed; Among them, the closure warning information includes closure warning prompts and personnel evacuation routes.

[0085] Specifically, the system generates corresponding closure warning information according to different warning levels, including closure prompts and evacuation routes. Closure prompts can be issued to personnel in the to-be-closed section through sound and light alarms, voice broadcasts, screen text, etc., while evacuation routes provide the best evacuation direction for personnel based on the current traffic status.

[0086] For example, when a medium-level alarm is triggered in section A, the system will issue an audible and visual alarm in section A, and display a closure prompt and evacuation route guidance; when a low-level alarm is triggered in section B, only a closure prompt and evacuation direction will be displayed, and no prompt will be given if there is no alarm in section C. Through graded alarms and intelligent evacuation guidance, this application can greatly improve the safety and emergency efficiency of the protection system, and is particularly suitable for densely populated underground facilities such as subways and tunnels.

[0087] In the above implementation, in the event of an emergency, clear closure alarms and clear evacuation instructions can provide personnel with timely evacuation guidance. Through the intelligent allocation of different alarm levels and evacuation routes, it can not only guide the flow of people to evacuate in a dispersed manner and avoid unnecessary congestion, but also ensure the orderliness of the evacuation process of underground facilities such as subways or tunnels.

[0088] In actual application, this application has important practical significance in the flood control and flood prevention management of underground facilities. By accurately analyzing real-time water level and rainfall data, dynamically judging risks and controlling the closing order of flood prevention doors in a coordinated manner, high-risk areas are protected first, which improves the timeliness and accuracy of emergency response, ensures that risks can be effectively isolated when disasters occur, protects the safety of facilities and personnel, and reduces the losses caused to underground facilities by water disasters or sudden floods.

[0089] The embodiment of the present application also discloses a linkage control system based on the state of the interval flood prevention door.

[0090] A linkage control system based on the state of a zone flood prevention door, the linkage control system comprising: Collect the real-time status of flood control doors in each section of underground facilities, as well as external water level data and real-time rainfall data; The external water level data and real-time rainfall data are input into the pre-trained risk warning model for comprehensive analysis to obtain the risk warning level; Determine the corresponding intervals to be closed according to the risk warning level; According to the real-time status of the flood-proof doors of each section to be closed, determine the sections to be closed whose real-time status of the flood-proof doors is open, and obtain a list of sections to be closed; Sorting the list of intervals to be closed based on the preset interval closing priority; A step-by-step closure control instruction is generated according to the sorted list of sections to be closed; wherein the step-by-step closure control instruction is used to step-by-step control the closing of the flood control doors of each section to be closed in the list of sections to be closed.

[0091] In the above implementation, by collecting the status of the flood-proof doors of each section in the underground facility and the external water level and rainfall data in real time, the risk warning level is generated based on the pre-trained risk warning model through comprehensive analysis, so as to accurately identify the high-risk sections that need to be closed. The system sorts the sections to be closed according to the closure priority of the sections, and generates step-by-step closure control instructions to ensure that the flood-proof doors of the high-priority sections are closed first, effectively reducing the risk spread, and improving the protection effect of underground facilities and the accuracy and efficiency of emergency response.

[0092] A linkage control system based on the state of an interval flood prevention door in an embodiment of the present application can implement any of the above-mentioned linkage control methods based on the state of an interval flood prevention door, and the specific working process of each module in the linkage control system can refer to the corresponding process in the above-mentioned method embodiment.

[0093] In the several embodiments provided in this application, it should be understood that the provided methods and systems can be implemented in other ways. For example, the system embodiments described above are only illustrative; for example, the division of a certain module is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed.

[0094] The embodiment of the present application also discloses a computer device.

[0095] The computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, a linkage control method based on the state of an interval flood prevention door as described above is implemented.

[0096] The embodiment of the present application also discloses a computer-readable storage medium.

[0097] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the above-mentioned linkage control methods based on the state of an interval flood prevention door.

[0098] Among them, computer-readable storage media can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus or device; the program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0099] It should be noted that in the above embodiments, the description of each embodiment has different emphases, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0100] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A linkage control method based on the state of a zone flood prevention door, characterized in that: The linkage control method comprises: Collect the real-time status of flood control doors in each section of underground facilities, as well as external water level data and real-time rainfall data; Inputting the external water level data and real-time rainfall data into a pre-trained risk warning model for comprehensive analysis to obtain a risk warning level; Determine the corresponding intervals to be closed according to the risk warning level; According to the real-time status of the flood-proof doors of each of the intervals to be closed, determine the intervals to be closed whose real-time status of the flood-proof doors is open, and obtain a list of intervals to be closed; sorting the list of intervals to be closed based on a preset interval closing priority; A step-by-step closing control instruction is generated according to the sorted list of sections to be closed; wherein the step-by-step closing control instruction is used to step-by-step control the closing of the flood control doors of each section to be closed in the list of sections to be closed.

2. A linkage control method based on the state of the zone flood prevention door according to claim 1, characterized in that: The control method further comprises a training step of the risk warning model, wherein the training step comprises: Acquire a historical sample data set; wherein the historical sample data set includes historical external water level data and historical rainfall data and pre-marked risk warning level labels; Performing data preprocessing on the historical sample data set; Divide the preprocessed historical sample data set into a training set, a validation set, and a test set; The pre-built long short-term memory network model is initially trained based on the training set, and the long short-term memory network model after the initial training is verified and the model parameters are optimized based on the verification set and the test set to obtain the risk warning model.

3. The linkage control method based on the state of the zone flood prevention door according to claim 2 is characterized in that: The steps of performing initial training on the pre-built long short-term memory network model based on the training set, and verifying and optimizing the model parameters of the long short-term memory network model after initial training based on the verification set and the test set, and obtaining the risk warning model include: Inputting the training set into a pre-built long short-term memory network model for training, optimizing the model parameters and calculating the combined loss function of the model until the combined loss function meets the preset conditions, thereby obtaining the trained risk warning model; wherein the combined loss function includes a prediction error and a regularization term; Verifying the risk warning model according to the verification set, evaluating the performance of the risk warning model and adjusting the hyperparameters of the risk warning model; The prediction accuracy of the adjusted risk warning model is tested based on the test set.

4. The linkage control method based on the state of the zone flood prevention door according to claim 1 is characterized in that: The step of determining the corresponding intervals to be closed according to the risk warning level includes: Determine whether the risk warning level exceeds the corresponding safety threshold; if so, determine the corresponding interval closure range according to the risk warning level; generating an interval structure diagram based on interval structure information of each interval in the underground facility; Each of the intervals to be closed is identified in the interval structure diagram according to the interval closing range.

5. The linkage control method based on the state of the zone flood prevention door according to claim 4 is characterized in that: After the step of sorting the list of intervals to be closed based on the preset interval closing priority, the method further includes: Obtaining the real-time status of the flood-proof door of each to-be-closed section in the to-be-closed section list; wherein the real-time status of the flood-proof door includes the communication status, the power supply status and the transmission system status; Determine whether the real-time status of the flood-prevention door of each to-be-closed section is abnormal, and if so, determine the to-be-closed section with the abnormal real-time status of the flood-prevention door as an abnormal section; In the list of intervals to be closed, the closure priority of the intervals to be closed that are adjacent to the abnormal interval is increased, and the abnormal interval is removed from the list of intervals to be closed; According to the location information of the abnormal section and the abnormal type, maintenance alarm information is generated and sent to the maintenance terminal.

6. A linkage control method based on the state of the zone flood prevention door according to claim 5, characterized in that: After the step of generating maintenance alarm information and sending it to the maintenance terminal, the following steps are further included: Receive maintenance feedback information from the maintenance terminal in real time and determine whether the maintenance is successful; If yes, the abnormal interval is restored to the interval to be closed and added to the list of intervals to be closed; If not, the abnormal interval is modified and marked as an interval to be monitored, and when there are abnormalities in the water level and environmental conditions of the interval to be monitored, an emergency alarm signal is sent to the maintenance terminal.

7. A linkage control method based on the state of a zone flood prevention door according to any one of claims 1 to 5, characterized in that: Before the step of generating a step-by-step closing control instruction according to the sorted list of intervals to be closed, the step also includes: Real-time detection of personnel distribution data of each to-be-closed interval in the to-be-closed interval list; Determine the personnel density level of each to-be-closed area according to the personnel distribution data; Determine a corresponding alarm level according to the personnel density level; Generate corresponding closure alarm information according to the alarm level and send it to the alarm module of each section to be closed; wherein the closure alarm information includes closure alarm prompt and personnel evacuation route.

8. A linkage control system based on the state of the interval flood prevention door, characterized in that: The linkage control system comprises: Collect the real-time status of flood control doors in each section of underground facilities, as well as external water level data and real-time rainfall data; Inputting the external water level data and real-time rainfall data into a pre-trained risk warning model for comprehensive analysis to obtain a risk warning level; Determine the corresponding intervals to be closed according to the risk warning level; According to the real-time status of the flood-proof doors of each of the intervals to be closed, determine the intervals to be closed whose real-time status of the flood-proof doors is open, and obtain a list of intervals to be closed; sorting the list of intervals to be closed based on a preset interval closing priority; A step-by-step closing control instruction is generated according to the sorted list of sections to be closed; wherein the step-by-step closing control instruction is used to step-by-step control the closing of the flood control doors of each section to be closed in the list of sections to be closed.

9. A computer device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 7 when executing the program.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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