Emergency mobile cabin collaborative control methods, devices, storage media and computer equipment

Abstract

The emergency modular unit collaborative control method, device, storage medium, and computer equipment provided in this application acquire the set of operating parameters for each emergency modular unit in a multi-module combined scenario, and determine personalized control strategies for each modular unit based on risk situation level assessment. Furthermore, considering the collaborative operation relationship between the modular units, the coordinateable items of each control strategy are determined at both the individual risk situation level and the collaborative risk situation level. Based on this, the control strategies are adjusted accordingly, ensuring that the adjusted target control strategy meets the risk control needs of a single modular unit while also adapting to the linkage constraints of multi-module collaborative operation. Simultaneously, it considers both individual risk suppression of a single unit and the cancellation of interference from multi-module linkage, thereby improving the safety and controllability during emergency operations.

Description

Technical Field

[0001] This application relates to the field of power grid equipment technology, and in particular to an emergency modular control method, device, storage medium and computer equipment. Background Technology

[0002] In the field of power grid emergency equipment control, various emergency modular units are often combined in multiple units to collaboratively complete emergency response tasks such as disaster relief, medical treatment, and logistical support. To ensure the stable execution of emergency tasks, the operation of the emergency modular units is generally subject to safety control. Existing emergency modular unit control methods typically involve threshold-triggered monitoring of abnormal operation of individual modular units and issuing alarms or control commands accordingly.

[0003] However, existing methods can only passively respond to local abnormal conditions generated by a single modular unit, focusing on the individual operational status of independent modular units. They lack the overall assessment capability of the impact of multiple modular units in combination, which makes it easy for abnormalities to spread in multi-unit combination scenarios, affecting the safety and controllability of the overall emergency operation. Summary of the Invention

[0004] The purpose of this application is to at least address one of the aforementioned technical deficiencies, particularly the technical deficiency in the prior art that can only passively respond to localized abnormal operating conditions generated by a single modular container, focusing on the individual operational status judgment of an independent modular container, lacking the overall assessment capability of the interconnected impact of multiple modular containers, thus leading to the easy spread of abnormalities in multi-component combination scenarios, affecting the safety and controllability of the overall emergency operation.

[0005] Firstly, this application provides a method for coordinated control of emergency mobile cabins, the method comprising:

[0006] Obtain the set of operating parameters corresponding to each of the multiple emergency modular units in the current multi-module combination scenario;

[0007] Based on each set of operating parameters, the risk situation level of each emergency shelter is assessed, and the control strategy for each emergency shelter is determined according to the risk situation level of each emergency shelter obtained from the assessment.

[0008] Determine the collaborative operation relationship of each emergency modular unit in the current multi-module combination scenario, and based on the collaborative operation relationship, determine the coordinable items of each control strategy at the individual risk state level and the collaborative risk state level respectively;

[0009] The corresponding control strategies are adjusted based on the coordinateable terms corresponding to each control strategy to obtain the target control strategy for each emergency shelter.

[0010] In one embodiment, the risk situation level assessment of each emergency shelter based on each set of operating parameters includes:

[0011] Calculate the operational indicators of each emergency shelter in multiple preset operational evaluation dimensions;

[0012] For each emergency shelter, based on its various operational indicators, the set of operational parameters of the emergency shelter is mapped to a preset risk situation space to obtain the situational position of the emergency shelter.

[0013] Once the situational position of each emergency module is determined in the risk situation space, the risk situation level corresponding to each emergency module is determined based on the spatial relationship between the situational positions of each emergency module in the risk situation space.

[0014] In one embodiment, determining the risk status level of each emergency shelter based on the spatial relationship of the status positions of each emergency shelter in the risk status space includes:

[0015] In the aforementioned risk situation space, a reference situation position is determined as the benchmark for the evolution of the risk situation;

[0016] Obtain the spatial distribution formed by the situational positions of each emergency shelter, and determine the degree of clustering of the situational positions of each emergency shelter in the spatial distribution.

[0017] The spatial offset between the situational position of each emergency shelter and the reference situational position is calculated, and the risk situation level of each emergency shelter is assessed by combining the grouping degree and spatial offset of each emergency shelter.

[0018] In one embodiment, determining the reconcilable items of each control strategy at the individual risk potential level and the collaborative risk potential level based on the cooperative operation relationship includes:

[0019] Based on the aforementioned collaborative operation relationship, predict the path and intensity of the effect of each emergency shelter on other emergency shelters when executing its corresponding control strategy;

[0020] Based on the action path and intensity of each emergency modular unit, we analyze the influencing factors and degree of influence of each emergency modular unit under the coordinated execution of various control strategies.

[0021] Based on the influencing factors and their degree of impact on each emergency shelter, coordinateable items for the control strategies of each emergency shelter are generated at both the individual risk situation level and the collaborative risk situation level.

[0022] In one embodiment, the step of generating coordinateable terms for the control strategies of each emergency shelter at both the individual risk potential level and the collaborative risk potential level, based on the influencing factors and their degree of influence on each emergency shelter, includes:

[0023] Based on the influencing factors and the degree of influence on each emergency shelter, the execution intensity and execution constraints of each emergency shelter in its control strategy are adjusted in a situational manner, generating a coordinateable item for the control strategy of each emergency shelter at the individual risk situation level.

[0024] Based on the influencing factors and their degree of impact on each emergency modular unit, the interaction between the control strategies of each emergency modular unit in the current multi-module combination scenario is reconstructed in a situational manner, generating coordinateable items for the control strategies of each emergency modular unit at the level of collaborative risk situation.

[0025] In one embodiment, adjusting the corresponding control strategy based on the coordinateable term corresponding to each control strategy to obtain the target control strategy for each emergency shelter includes:

[0026] Based on the coordinateable items of each emergency modular unit at the individual risk situation level, the control strategies of each emergency modular unit are modified by parameters to obtain the intermediate control strategies of each emergency modular unit.

[0027] Based on the coordinateable items of each emergency module at the level of collaborative risk situation, the linkage timing and adjustment range distribution relationship between the intermediate control strategies of each emergency module are adapted and modified to obtain the target control strategies corresponding to each emergency module that simultaneously constrain the individual risk of a single module and the linkage risk of multiple modules.

[0028] In one embodiment, the method further includes:

[0029] The risk status level of each emergency module and the collaborative operation relationship of each emergency module are monitored in real time. When the risk status level of an emergency module is detected or the collaborative operation relationship changes, the target control strategy for each emergency module is redefined.

[0030] Secondly, this application provides an emergency mobile cabin coordinated control device, the device comprising:

[0031] The parameter acquisition module is used to acquire the set of operating parameters corresponding to the multiple emergency modular units in the current multi-module combination scenario.

[0032] The strategy determination module is used to assess the risk situation level of each emergency shelter based on each set of operating parameters, and determine the control strategy of each emergency shelter according to the risk situation level corresponding to each emergency shelter obtained from the assessment.

[0033] The coordination analysis module is used to determine the collaborative operation relationship of each emergency module in the current multi-module combination scenario, and based on the collaborative operation relationship, to determine the coordinable items of each control strategy at the individual risk state level and the collaborative risk state level.

[0034] The strategy adjustment module is used to adjust the corresponding control strategy according to the coordinateable items corresponding to each control strategy, so as to obtain the target control strategy for each emergency shelter.

[0035] Thirdly, this application provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the emergency shelter collaborative control method as described in any of the above embodiments.

[0036] Fourthly, this application provides a computer device, including: one or more processors, and a memory;

[0037] The memory stores computer-readable instructions, and when the one or more processors execute the computer-readable instructions, they perform the steps of the emergency mobile cabin collaborative control method as described in any of the above embodiments.

[0038] As can be seen from the above technical solutions, the embodiments of this application have the following advantages:

[0039] The emergency modular unit collaborative control method, device, storage medium, and computer equipment provided in this application acquire the set of operating parameters for each emergency modular unit in a multi-module combined scenario, and determine personalized control strategies for each modular unit based on risk situation level assessment. Furthermore, considering the collaborative operation relationship between the modular units, the coordinateable items of each control strategy are determined at both the individual risk situation level and the collaborative risk situation level. Based on this, the control strategies are adjusted accordingly, ensuring that the adjusted target control strategy meets the risk control needs of a single modular unit while also adapting to the linkage constraints of multi-module collaborative operation. Simultaneously, it considers both individual risk suppression of a single unit and the cancellation of interference from multi-module linkage, thereby improving the safety and controllability during emergency operations. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 A flowchart illustrating an emergency mobile cabin coordinated control method provided in this application embodiment;

[0042] Figure 2 A schematic diagram of the structure of an emergency modular cabin collaborative control device provided in this application embodiment;

[0043] Figure 3 This is an internal structural diagram of a computer device provided in an embodiment of this application. Detailed Implementation

[0044] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0045] In one embodiment, this application provides a method for coordinated control of emergency shelters. The following embodiments illustrate the application of this method to a server. It is understood that the method for coordinated control of emergency shelters can be implemented using a single server or a server cluster consisting of multiple servers; this application does not impose any specific limitations on this.

[0046] like Figure 1 As shown, this application provides a method for coordinated control of emergency mobile cabins, the method comprising:

[0047] S101: Obtain the set of operating parameters corresponding to the multiple emergency modular units in the current multi-module combination scenario.

[0048] Emergency modular units refer to independent operating units with specific emergency functions that can be rapidly deployed on-site. Examples include emergency power generation modular units, emergency drainage modular units, and emergency communication modular units. The operating parameter set refers to a collection of various data reflecting the current operating status of the corresponding emergency modular unit, including temperature, equipment power, equipment start / stop status, and parameter threshold ranges.

[0049] In this step, upon receiving a coordinated control command, the server first determines the multi-module combination scenario based on the command and identifies the emergency modules within that scenario. Then, it reads various monitoring data in real time from the monitoring terminals, sensor modules, or linkage control units corresponding to each emergency module. After aggregating the monitoring data belonging to the same emergency module, it obtains the set of operating parameters for each emergency module. In essence, a multi-module combination scenario represents multiple emergency modules simultaneously deployed and operating under the same mission context, forming a coordinated overall operating environment in terms of spatial layout, operational sequence, and management logic.

[0050] Specifically, the data types of the set of operating parameters can include numerical data used to characterize changes in operating status, enumerated data used to characterize operating status ranges or levels, and identifier data used to represent operating status attributes. By uniformly organizing different data types, the actual operating status of each emergency modular unit in a multi-unit combination scenario can be fully reflected.

[0051] S102: Based on each set of operating parameters, assess the risk level of each emergency shelter, and determine the control strategy for each emergency shelter according to the risk level of each shelter obtained from the assessment.

[0052] Among them, the risk situation level is used to quantitatively characterize the overall operational risk level of a single emergency modular unit. The control strategy refers to the handling operation plan generated according to the corresponding risk situation level, which includes, but is not limited to, a series of constraints and execution instructions such as adjustment of modular unit operating parameters, equipment start-up and shutdown rules, load control range, and alarm handling procedures, in order to specifically reduce the operational risks of the emergency modular unit itself.

[0053] In this step, for each emergency shelter's corresponding set of operating parameters, a comprehensive analysis is conducted according to preset multi-dimensional evaluation indicators to calculate and quantify the overall risk level of each emergency shelter and classify the corresponding risk situation level. Then, a one-to-one mapping relationship between the risk situation level and the strategy plan is obtained, and from this mapping relationship, a control strategy adapted to the current operating condition of the emergency shelter is matched based on the determined risk situation level.

[0054] Specifically, when setting multi-dimensional evaluation indicators, considerations can be made from aspects such as the operational dimension of the mobile cabin, the internal environment dimension, and the energy supply dimension; this application does not impose specific limitations on these aspects. Furthermore, in constructing the mapping relationship between risk status levels and strategic solutions, detailed handling procedures can be pre-prepared for each risk status level, taking into account the type of mobile cabin equipment and the operational scenario. This allows for the determination of complete control strategies, including the intensity of control execution, the magnitude of parameter adjustments, the frequency of monitoring, and the alarm handling logic, under each risk status level, thereby completing the mapping relationship construction.

[0055] S103: Determine the collaborative operation relationship of each emergency module in the current multi-module combination scenario, and based on the collaborative operation relationship, determine the coordinable items of each control strategy at the individual risk potential level and the collaborative risk potential level.

[0056] Among them, the collaborative operation relationship refers to the mutual influence relationship formed by multiple emergency modular units in the same mission context due to task division, operation sequence, or resource association. It can be used to characterize the link and degree of tightness of the disturbance that a single modular unit's control action will cause to other modular units. The coordinateable item refers to the adjustment requirements that need to be imposed on the control strategy to reduce the risk of a single modular unit or to suppress the collaborative risk of multiple modular units.

[0057] In this step, the server first determines the collaborative operational relationship reflecting the mutual influence paths of multiple modules in the current multi-module combination scenario. Then, based on this collaborative operational relationship, it determines coordinateable items at two levels: At the individual risk situation level, for each emergency module's control strategy, it analyzes the influencing factors and their degree of influence during execution, generating content that needs to be adjusted in terms of the execution intensity and constraints of that emergency module, forming coordinateable items at the individual level. At the collaborative risk situation level, from the perspective of the overall operation of the multi-module system, it analyzes the interaction between different module control strategies, identifying the necessary coordinated adjustments to suppress the overall risk level, forming coordinateable items at the collaborative level.

[0058] Specifically, the coordinateable items at the individual risk situation level reflect the adjustments required by the corresponding emergency shelter to its control strategies to reduce its own operational risks under the current operating conditions. The coordinateable items at the collaborative risk situation level reflect the coordinated adjustments required by multiple emergency shelters to mitigate the overall risk level during joint operation.

[0059] For example, the initial control strategy for high-risk power supply modules is to significantly reduce the load. At the individual level, this will generate a coordinated item to reduce the output power and increase the heat dissipation start threshold. At the same time, considering that multiple modules rely on this power supply module for power supply, at the collaborative level, a coordinated item will be generated to stagger the load reduction and share the power reduction, so as to balance the risk management of a single module with the overall operational stability of multiple modules.

[0060] Furthermore, the process of creating collaborative operation relationships may include: reading the layout and deployment ledger of multi-compartment combination scenarios, energy pipeline topology diagrams, and equipment linkage control bus configuration files, and extracting basic association information on the physical location, power supply pipelines, communication links, and work procedures between each emergency modular unit. Then, combining the real-time operation data of the modular units, the synchronous change patterns of the fluctuations in the working conditions of different modular units are statistically analyzed. The relationships are distinguished into two types: direct connection and indirect transmission, and the degree of connection is marked. The inter-compartment interaction links, including the direction of action, transmission level, and strength of influence, are sorted out, which constitute the collaborative operation relationship.

[0061] S104: Adjust the corresponding control strategy according to the coordinateable terms corresponding to each control strategy to obtain the target control strategy corresponding to each emergency shelter.

[0062] Among them, the target control strategy refers to the final implementation plan obtained by adjusting the individual risk potential coordination items and the collaborative risk potential coordination items.

[0063] In this step, for each emergency shelter, the server can comprehensively analyze the coordinateable items at the individual risk potential level and the coordinated risk potential level to determine the adjustment direction reflected by each coordinateable item and its corresponding constraints. This allows the server to identify the adjustment requirements that directly affect the control strategy for the emergency shelter. Subsequently, the adjustment requirements identified by the two types of coordinateable items are unified. By coordinating and selecting different adjustment contents, the control strategy can meet both the requirements of reducing the operational risk of the shelter itself and the constraints of multi-cabin collaborative operation on overall risk control.

[0064] In the above embodiments, by acquiring the set of operating parameters for each emergency modular unit in a multi-module combined scenario, and determining a personalized control strategy for each modular unit based on a risk situation level assessment, a further personalized control strategy is determined by considering the collaborative operation relationship between the modular units. Based on this, the coordinateable items of each control strategy are determined at both the individual risk situation level and the collaborative risk situation level. Accordingly, the control strategies are adjusted in a targeted manner, ensuring that the adjusted target control strategy meets the risk control needs of a single modular unit while also adapting to the linkage constraints of multi-module collaborative operation. Furthermore, it simultaneously considers both individual risk suppression in a single unit and the cancellation of interference from multi-module linkage, thereby improving the safety and controllability during emergency operations.

[0065] In one embodiment, a risk situation level assessment is performed on each emergency shelter based on various sets of operating parameters, including:

[0066] S1: Calculate the operational indicators of each emergency shelter on multiple preset operational evaluation dimensions.

[0067] S2: For each emergency shelter, based on the various operational indicators of the emergency shelter, the set of operational parameters of the emergency shelter is mapped to a preset risk situation space to obtain the situation position of the emergency shelter.

[0068] S3: After determining the situational position of each emergency module in the risk situation space, determine the risk situation level corresponding to each emergency module based on the spatial relationship of the situational positions of each emergency module in the risk situation space.

[0069] Among them, operational indicators refer to the quantitatively calculated values ​​under the corresponding operational assessment dimensions. The risk situation space refers to the state space used to describe the overall operational risks, and its various dimensions are used to represent the operational status under different operational assessment dimensions. The situation position is used to characterize the risk state position of the corresponding emergency shelter under the combined effects of various operational assessment dimensions.

[0070] In this embodiment, the server first quantifies the set of operational parameters for each emergency shelter using corresponding conversion formulas and threshold rules for each preset operational evaluation dimension, outputting multiple operational indicators. Then, the operational indicators of a single emergency shelter in each dimension are used as spatial coordinate components, and these components are filled into the coordinate axes of the risk situation space to generate a unique situation position representing the current risk status of the emergency shelter. Finally, after obtaining the situation positions of each emergency shelter in the risk situation space, the spatial relationships such as distance, distribution clustering, and relative offset from the baseline position are compared among the situation positions of all emergency shelters to classify different levels of risk situation. In the above process, risk classification is completed by analyzing the spatial distribution and offset relationships of points, breaking the limitations of traditional single-parameter threshold-based risk assessment, and achieving an integrated spatial quantitative expression of multi-dimensional operating conditions, thereby fully reflecting the overall risk level of the shelter and the relative risk differences between shelters.

[0071] Specifically, when analyzing the spatial relationships of the status positions of various emergency shelters in the risk situation space, the following aspects can be considered: by analyzing the spatial distance between each status position, the proximity of the operational risks of different emergency shelters can be reflected; by analyzing the clustering or dispersion of each status position in space, the concentration of operational risks of different emergency shelters in overall operation can be reflected; by analyzing the region or level in space where each status position is located, the position level of the current operational status of the emergency shelter within the risk range can be reflected.

[0072] For example, within a certain operating cycle, some parameters of Emergency Container A exhibit high numerical levels under numerical operating indicators, while others fall outside the normal operating range under interval operating indicators. Simultaneously, its status indicator shows an operating state under restricted conditions. Based on these operating indicator values, the status of the emergency container under each operational assessment dimension is mapped to the corresponding dimension of the risk situation space, thus forming a definite situational position within the risk situation space. This situational position comprehensively reflects the overall risk status of Emergency Container A within the current operating cycle, allowing its operational risk to be intuitively represented through spatial location and enabling comparative analysis with the situational positions of other emergency containers.

[0073] In one embodiment, the risk status level of each emergency shelter is determined based on the spatial relationship between the status positions of each emergency shelter and the risk status space, including:

[0074] S1: Determine the reference position in the risk situation space as the benchmark for the evolution of the risk situation.

[0075] S2: Obtain the spatial distribution formed by the situational positions of each emergency module and determine the degree of clustering of the situational positions of each emergency module in the spatial distribution.

[0076] S3: Calculate the spatial offset between the situational position and the reference situational position of each emergency module, and assess the risk situational level of each emergency module by combining the grouping degree and spatial offset corresponding to each emergency module.

[0077] The reference position refers to a baseline spatial point in the risk situation space, either pre-set or dynamically determined based on the current operational status, used to characterize the standard state corresponding to the normal operating level. The degree of clustering refers to the spatial alignment of the emergency shelter's position with the overall position clustering of other shelters. Spatial offset is used to quantify the extent to which the current operational status of the emergency shelter deviates from the baseline level.

[0078] In this embodiment, a reference situation position representing the standard safe operating condition can first be marked within a preset risk situation space. Then, the situation positions of all emergency shelters are aggregated to form a spatial distribution cluster. A distance algorithm is used to calculate the fit between the situation position of each emergency shelter and the cluster center and main gathering area, quantifying the clustering degree of each emergency shelter. Subsequently, the spatial offset of each emergency shelter's situation position relative to the reference situation position can be obtained by calculating Euclidean distance. Finally, the clustering degree and spatial offset are weighted and fused, and gradient intervals are divided based on the calculation results to determine the risk situation level of each emergency shelter. This approach accurately measures the deviation of a single shelter's operating condition from the safety standard based on spatial offset, and identifies any disconnect or anomaly in the overall operating status of the emergency shelter and the shelter cluster using the clustering degree, comprehensively assessing risk from both individual operating conditions and cluster collaboration dimensions.

[0079] Specifically, when determining the reference situation position, it can be determined directly during the risk situation space construction stage. That is, without relying on the current operational status, a spatial position representing the baseline operational level is pre-defined in the risk situation space, serving as a fixed reference benchmark throughout the entire operation. Alternatively, it can be determined based on the situation positions corresponding to each emergency module within the current operational cycle. That is, by analyzing the distribution of overall situation positions in the risk situation space, a spatial position that reflects the baseline operational level under the current operational context is selected as the reference situation position. This application does not impose specific limitations on this.

[0080] It is understandable that when calculating the degree of clustering of a situation location in the overall distribution, if a situation location has many neighboring points around it and the distance between them is small, then its degree of clustering is high, indicating that the operation of the shelter is consistent with the overall operation trend. Conversely, if the location is isolated outside the main distribution area, its degree of clustering is low, indicating that the operation of the shelter has deviated significantly from the normal group state.

[0081] For example, within the current operating cycle, if the situational position of a certain emergency module remains close to that of most emergency modules in the risk situation space, and is generally distributed near the reference situational position, it indicates that the operating status of the emergency module is consistent with the baseline operating level, and its risk situation level is determined to be low. If the situational position of a certain emergency module is still within the overall distribution area, but has a significant spatial deviation relative to the reference situational position, it indicates that its operating status has begun to deviate from the baseline operating level, and its risk situation level is determined to be medium. If the situational position of a certain emergency module is significantly far from the reference situational position in the risk situation space, and is isolated or significantly dispersed from the situational positions of other emergency modules, it indicates that its operational risk is in a prominent position in the overall risk structure, and its risk situation level is determined to be high.

[0082] In one embodiment, based on the cooperative operation relationship, the reconcilable items of each control strategy at the individual risk potential level and the cooperative risk potential level are determined, including:

[0083] S1: Based on the collaborative operation relationship, predict the path and intensity of the effect of each emergency module on other emergency modules when it executes its corresponding control strategy.

[0084] S2: Based on the action path and intensity of each emergency modular unit, analyze the influencing factors and degree of influence of each emergency modular unit under the coordinated execution of various control strategies.

[0085] S3: Based on the influencing factors and their degree of influence on each emergency shelter, generate the coordinable items of the control strategies for each emergency shelter at the individual risk state level and the collaborative risk state level.

[0086] Among them, the action path is used to describe the direction and level of transmission of the influence of the control strategy in the multi-compartment combined operation structure.

[0087] In this embodiment, based on the operational association structure, operational sequence, and operational status transmission relationships reflected in the collaborative operation relationships between various emergency modules, the link sequence of operational disturbances transmitted outward when a single module executes a control strategy can be deduced, i.e., the action path. Simultaneously, the disturbance strength of each action path on surrounding different emergency modules is quantified, i.e., the action intensity. Then, according to each action path, combined with the corresponding action intensity, the sources of external disturbances that each emergency module will receive are analyzed, i.e., influencing factors, and the degree of impact from each source is quantified and distinguished. Finally, the identified influencing factors and their corresponding impact degrees are used as the basis for calculation to generate coordinateable items adapted to the risk management of a single module and coordinateable items adapted to the coordinated control of multiple modules.

[0088] Specifically, by deduce the transmission path and strength of the control strategy disturbance through the inter-cabin collaborative operation relationship, and then identify the external disturbance factors and disturbance levels of each cabin based on the transmission link, and finally generate two types of coordinateable items by combining the disturbance information in layers, and predict the cross-cabin chain interference caused by the single cabin control action in advance, and provide quantitative correction basis from two dimensions: the single cabin's own risk and the overall linkage risk of multiple cabins, so as to avoid the superposition and diffusion of inter-cabin risks when the initial control strategies are implemented.

[0089] For example, during the combined operation of multiple modules, when emergency module A executes its control strategy and causes a change in its operational status, this change is first transmitted along the direct collaborative operation relationship to emergency module B, which has a direct operational association with it, forming a direct action path. Under this action path, the influencing factor is mainly reflected in the direct linkage of operational status, and its impact on emergency module B is determined to be high. Subsequently, this change in operational status is transmitted through emergency module B to emergency module C, which has an indirect operational association with it, forming an indirect action path. Under this action path, the influencing factor is mainly reflected in the transfer effect of the status change, and its impact on module C is determined to be medium. Furthermore, for emergency module D, which is only indirectly associated through multi-level collaborative relationships, its action path level is far, and the change in operational status is significantly weakened during the transmission process. Under this action path, the influencing factor is mainly reflected in the indirect constraint of the overall operational rhythm, and its impact on emergency module D is determined to be low.

[0090] In one embodiment, based on the influencing factors and their degree of influence on each emergency shelter, coordinateable terms for the control strategies of each emergency shelter are generated at both the individual risk potential level and the collaborative risk potential level, including:

[0091] S1: Based on the influencing factors and the degree of influence on each emergency modular unit, the execution intensity and execution constraints of each emergency modular unit in its control strategy are adjusted in a situational manner, generating a coordinateable item for the control strategy of each emergency modular unit at the individual risk situation level.

[0092] S2: Based on the influencing factors and their degree of influence on each emergency modular unit, the interaction between the control strategies of each emergency modular unit in the current multi-modal combination scenario is reconstructed in a situational manner, generating coordinateable items for the control strategies of each emergency modular unit at the level of collaborative risk situation.

[0093] Among these, execution intensity refers to the magnitude of adjustment to operating parameters during the implementation of the control strategy. Execution constraints are used to limit the boundary conditions during the implementation of the control strategy. Interaction mode refers to the cooperative or restrictive relationship structure formed between the control strategies of different emergency shelters during coordinated execution.

[0094] In this embodiment, on the one hand, for each emergency shelter, the intensity of its control strategy is adjusted according to the degree of influence of the influencing factors on its operational status. This results in more significant intensity changes for influencing factors with higher impact, and more moderate intensity changes for influencing factors with lower impact. Simultaneously, execution constraints are adjusted in conjunction with operational stability requirements, including upper limits on the adjustment range and control over the rate of change. This transforms the control strategy from a fixed execution method into a situational execution plan that dynamically adapts to changes in individual risk. Based on this, through the coordinated adjustment of execution intensity and execution constraints, the control strategy is transformed from a fixed execution method into a situational execution result that dynamically reflects changes in individual risk situation. Finally, based on the required adjustments, coordinateable items for each emergency shelter at the individual risk situation level are generated.

[0095] On the other hand, based on the influencing factors and their degree of influence on each emergency modular unit, the interaction between various control strategies is reconstructed in a situational manner. In this process, synergistic effects and conflicting relationships between different control strategies can be identified, thereby adjusting the coordination and timing of each control strategy during coordinated execution. This ensures that the coordinated action of control strategies with higher impact is highlighted in the reconstructed structure, while less impactful interactions are correspondingly converged. Based on this, the control strategies of each emergency modular unit form an interaction structure adapted to the current collaborative risk situation in a multi-unit combination scenario. Therefore, based on the synergistic range and relative strength distribution of each control strategy reflected in the reconstructed interaction structure, the coordinateable terms of each emergency modular unit at the collaborative risk situation level are derived.

[0096] Specifically, the interaction modes include paired interactions between the control strategies of one emergency module and another, multi-directional linkages where the control strategies of one emergency module simultaneously act on multiple other emergency modules, and global interactions where the control strategies of one emergency module exert overall constraints on all other emergency modules in a multi-module combination scenario. Through these different combinations, the scope and hierarchy of each interaction mode in the overall operation are adjusted according to their degree of influence. This aims to ensure that the linkages of control strategies with higher influence are prominently reflected in the reconstructed interaction structure, while linkages with lower influence are correspondingly converged.

[0097] It is understood that the solution in this embodiment can not only specifically mitigate the negative impact of external interference on the risk management of a single compartment, but also eliminate the superimposed coordination risks caused by the conflict between the control actions of multiple compartments at the cluster level, thereby improving the safety and controllability during emergency operations.

[0098] In one embodiment, the corresponding control strategy is adjusted according to the coordinateable term corresponding to each control strategy to obtain the target control strategy for each emergency shelter, including:

[0099] S1: Based on the coordinateable items of each emergency module at the individual risk situation level, the control strategies of each emergency module are modified to obtain the intermediate control strategies of each emergency module.

[0100] S2: Based on the coordinateable items of each emergency module at the level of collaborative risk situation, the linkage timing and adjustment range distribution relationship between the intermediate control strategies of each emergency module are adapted and modified to obtain the target control strategy corresponding to each emergency module that simultaneously constrains the individual risk of a single module and the linkage risk of multiple modules.

[0101] Among them, the linkage sequence refers to the order, interval, and timing of the control actions performed by each emergency module in a multi-module combination scenario. The adjustment amplitude allocation relationship refers to the sharing ratio and coordination method among the emergency modules in different parameter adjustment amounts.

[0102] In this embodiment, firstly, based on the coordinateable factors of each emergency module at the individual risk situation level, the control strategy of each emergency module is modified by adjusting the execution intensity values ​​and resetting the execution constraint boundaries, so that the modified control strategy forms an intermediate control strategy while meeting the operational safety requirements of each individual module. Subsequently, based on the coordinateable factors of each emergency module at the collaborative risk situation level, the linkage timing between the intermediate control strategies is adapted and modified. For example, it is clarified that the control action of one emergency module must be executed before that of another related module, or a specific time interval must be set between the two to avoid the superimposed impact caused by simultaneous actions. Simultaneously, the adjustment amplitude allocation relationship is adapted and modified. For example, when the control targets of two modules are coupled with the same operating parameter, the adjustment ratio to be undertaken by each emergency module can be reasonably divided according to their adjustment capabilities and the degree of impact, ultimately obtaining the target control strategy.

[0103] Through the aforementioned step-by-step correction process, the parameter adjustments at the individual level are combined with the timing and magnitude allocation at the collaborative level. This ensures that the final output target control strategy accurately responds to the risk control needs of each mobile shelter, while also achieving coordination and unity among multiple shelters in both the time and adjustment dimensions. This improves the control precision and collaborative efficiency of mobile shelters in multi-cabin combination scenarios.

[0104] In one embodiment, the emergency mobile cabin coordinated control method further includes:

[0105] The risk status level of each emergency module and the collaborative operation relationship of each emergency module are monitored in real time. When the risk status level of an emergency module is detected or the collaborative operation relationship changes, the target control strategy for each emergency module is redefined.

[0106] In this embodiment, the server continuously collects real-time operating parameters of each emergency modular unit, updates the status and position of each unit, and refreshes the risk level. Simultaneously, it reads information on inter-unit pipelines, power supply, communication, and layout to dynamically update collaborative operating relationships. When any change in the risk level of any modular unit is detected, or when changes occur in the collaborative operating relationships between units, such as energy links, operational sequences, or spatial layout, the emergency modular unit collaborative control method is automatically triggered to re-execute. This process involves recalculating operating indicators, updating status and position, reclassifying risk levels, recalculating inter-unit action paths and impact levels, and finally revising and issuing a new target control strategy. This avoids the problems of untimely risk handling and uncontrolled inter-unit disturbances caused by static control strategies lagging behind actual on-site conditions.

[0107] In one embodiment, a situation convergence condition can also be introduced as the basis for terminating real-time monitoring. For example, during dynamic coordination, the situation positions of each emergency module in the risk situation space are tracked. When the situation position of each emergency module remains within a preset spatial range for multiple consecutive operating cycles, and the offset relative to the reference situation position does not change significantly, while the relative distance relationship and overall distribution structure between the situation positions of different emergency modules remain consistent, it can be determined that the situation convergence condition is met, indicating that both the individual risk situation and the collaborative risk situation have entered a stable range. Therefore, it is considered that the operational risks under the current operating state have been effectively coordinated and handled, and the real-time monitoring process is terminated at this time to save resource costs.

[0108] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0109] The emergency modular hospital collaborative control device provided in the embodiments of this application is described below. The emergency modular hospital collaborative control device described below and the emergency modular hospital collaborative control method described above can be referred to in correspondence with each other.

[0110] like Figure 2 As shown, this application provides an emergency mobile cabin collaborative control device 200, the device comprising:

[0111] The parameter acquisition module 201 is used to acquire the set of operating parameters corresponding to the multiple emergency modular units in the current multi-module combination scenario.

[0112] The strategy determination module 202 is used to assess the risk situation level of each emergency shelter based on each set of operating parameters, and determine the control strategy of each emergency shelter according to the risk situation level corresponding to each emergency shelter obtained from the assessment.

[0113] The coordination analysis module 203 is used to determine the collaborative operation relationship of each emergency module in the current multi-module combination scenario, and based on the collaborative operation relationship, to determine the coordinable items of each control strategy at the individual risk state level and the collaborative risk state level.

[0114] The strategy adjustment module 204 is used to adjust the corresponding control strategy according to the coordinateable item corresponding to each control strategy, so as to obtain the target control strategy corresponding to each emergency shelter.

[0115] In the above embodiments, by acquiring the set of operating parameters for each emergency modular unit in a multi-module combined scenario, and determining a personalized control strategy for each modular unit based on a risk situation level assessment, a further personalized control strategy is determined by considering the collaborative operation relationship between the modular units. Based on this, the coordinateable items of each control strategy are determined at both the individual risk situation level and the collaborative risk situation level. Accordingly, the control strategies are adjusted in a targeted manner, ensuring that the adjusted target control strategy meets the risk control needs of a single modular unit while also adapting to the linkage constraints of multi-module collaborative operation. Furthermore, it simultaneously considers both individual risk suppression in a single unit and the cancellation of interference from multi-module linkage, thereby improving the safety and controllability during emergency operations.

[0116] In one embodiment, the strategy determination module includes:

[0117] The indicator calculation submodule is used to calculate the operational indicators of each emergency shelter on multiple preset operational evaluation dimensions.

[0118] The spatial mapping submodule is used to map the set of operating parameters of each emergency shelter to a preset risk situation space based on the various operating indicators of the emergency shelter, so as to obtain the situation position of the emergency shelter.

[0119] The risk assessment submodule is used to determine the risk level of each emergency module after determining its position in the risk situation space, based on the spatial relationship between the positions of each emergency module and the risk situation space.

[0120] In one embodiment, the rating assessment submodule includes:

[0121] The benchmark determination unit is used to determine the reference position in the risk situation space as the benchmark for the evolution of the risk situation;

[0122] The first determining unit is used to obtain the spatial distribution formed by the situational positions of each emergency shelter and to determine the degree of clustering of the situational positions of each emergency shelter in the spatial distribution.

[0123] The second determining unit is used to calculate the spatial offset between the situational position and the reference situational position of each emergency shelter, and to assess the risk situation level of each emergency shelter by combining the grouping degree and spatial offset corresponding to each emergency shelter.

[0124] In one embodiment, the coordination analysis module includes:

[0125] The impact prediction submodule is used to predict the path and intensity of the effect of each emergency module on other emergency modules when it executes its corresponding control strategy, based on the collaborative operation relationship.

[0126] The factor analysis submodule is used to analyze the influencing factors and their degree of influence on each emergency modular unit under the coordinated execution of various control strategies, based on the action path and intensity of each unit.

[0127] The coordination term generation submodule is used to generate coordinateable terms for the control strategies of each emergency module at both the individual risk state level and the collaborative risk state level, based on the influencing factors and the degree of influence on each emergency module.

[0128] In one embodiment, the coordination item generation submodule includes:

[0129] The first generation unit is used to adjust the execution intensity and execution constraints of each emergency module in its control strategy according to the influencing factors and the degree of influence of each emergency module, and generate the coordinateable items of the control strategy of each emergency module at the individual risk situation level.

[0130] The second generation unit is used to reconstruct the interaction between the control strategies of each emergency module in the current multi-module combination scenario based on the influencing factors and the degree of influence of each emergency module, and generate the coordinateable items of the control strategies of each emergency module at the level of collaborative risk situation.

[0131] In one embodiment, the policy adjustment module includes:

[0132] The first adjustment submodule is used to modify the parameters of the control strategy of each emergency module based on the coordinateable items of each emergency module at the individual risk situation level, so as to obtain the intermediate control strategy of each emergency module.

[0133] The second adjustment submodule is used to adapt and modify the linkage timing and adjustment range distribution relationship between the intermediate control strategies of each emergency module based on the coordinateable items of each emergency module at the level of collaborative risk situation, so as to obtain the target control strategy corresponding to each emergency module that simultaneously constrains the individual risk of a single module and the linkage risk of multiple modules.

[0134] In one embodiment, the emergency mobile cabin coordinated control device further includes:

[0135] The continuous monitoring module is used to monitor the risk status level of each emergency module and the collaborative operation relationship of each emergency module in real time. When the risk status level of an emergency module is detected, or when the collaborative operation relationship changes, the target control strategy for each emergency module is redefined.

[0136] The division of modules in the above-described emergency modular control device is merely illustrative. In other embodiments, the emergency modular control device can be divided into different modules as needed to complete all or part of its functions. Each module in the above-described emergency modular control device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the operations corresponding to each module.

[0137] In one embodiment, this application also provides a storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the steps of the emergency shelter collaborative control method as described in any of the above embodiments.

[0138] In one embodiment, this application also provides a computer device storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the emergency shelter collaborative control method as described in any of the above embodiments.

[0139] Indicatively, such as Figure 3 As shown, Figure 3 This is a schematic diagram of the internal structure of a computer device 300 provided in an embodiment of this application. The computer device 300 can be provided as a server. (Refer to...) Figure 3 The computer device 300 includes a processing component 302, which further includes one or more processors, and memory resources represented by memory 301 for storing instructions, such as application programs, that can be executed by the processing component 302. The application programs stored in memory 301 may include one or more modules, each corresponding to a set of instructions. Furthermore, the processing component 302 is configured to execute instructions to perform the emergency shelter collaborative control method of any of the above embodiments.

[0140] The computer device 300 may also include a power supply component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate on an operating system stored in memory 301, such as Windows Server™, Mac OS X™, Unix™, Linux™, Free BSD™, or similar.

[0141] Those skilled in the art will understand that Figure 3The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0142] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising a…" does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element. In this document, the singular forms "a," "an," and "the" may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms “comprising / including” or “having” specify the presence of the stated features, wholes, steps, operations, components, parts or combinations thereof, but do not exclude the possibility of the presence or addition of one or more other features, wholes, steps, operations, components, parts or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0143] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0144] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for coordinated control of emergency mobile cabins, characterized in that, The method includes: Obtain the set of operating parameters corresponding to each of the multiple emergency modular units in the current multi-module combination scenario; Based on each set of operating parameters, the risk situation level of each emergency shelter is assessed, and the control strategy for each emergency shelter is determined according to the risk situation level of each emergency shelter obtained from the assessment. Determine the collaborative operation relationship of each emergency modular unit in the current multi-module combination scenario, and based on the collaborative operation relationship, determine the coordinable items of each control strategy at the individual risk state level and the collaborative risk state level respectively; The corresponding control strategies are adjusted based on the coordinateable terms corresponding to each control strategy to obtain the target control strategy for each emergency shelter.

2. The emergency modular hospital collaborative control method according to claim 1, characterized in that, The risk situation level assessment of each emergency shelter based on various sets of operating parameters includes: Calculate the operational indicators of each emergency shelter in multiple preset operational evaluation dimensions; For each emergency shelter, based on its various operational indicators, the set of operational parameters of the emergency shelter is mapped to a preset risk situation space to obtain the situational position of the emergency shelter. Once the situational position of each emergency module is determined in the risk situation space, the risk situation level corresponding to each emergency module is determined based on the spatial relationship between the situational positions of each emergency module in the risk situation space.

3. The emergency mobile cabin coordinated control method according to claim 2, characterized in that, The step of determining the risk status level of each emergency shelter based on its spatial relationship with the risk status space, according to the situational location of each emergency shelter, includes: In the aforementioned risk situation space, a reference situation position is determined as the benchmark for the evolution of the risk situation; Obtain the spatial distribution formed by the situational positions of each emergency shelter, and determine the degree of clustering of the situational positions of each emergency shelter in the spatial distribution. The spatial offset between the situational position of each emergency shelter and the reference situational position is calculated, and the risk situation level of each emergency shelter is assessed by combining the grouping degree and spatial offset of each emergency shelter.

4. The emergency modular hospital coordinated control method according to claim 1, characterized in that, The determination of the coordinable items for each control strategy at both the individual risk potential level and the collaborative risk potential level, based on the aforementioned collaborative operational relationship, includes: Based on the aforementioned collaborative operation relationship, predict the path and intensity of the effect of each emergency shelter on other emergency shelters when executing its corresponding control strategy; Based on the action path and intensity of each emergency modular unit, we analyze the influencing factors and degree of influence of each emergency modular unit under the coordinated execution of various control strategies. Based on the influencing factors and their degree of impact on each emergency shelter, coordinateable items for the control strategies of each emergency shelter are generated at both the individual risk situation level and the collaborative risk situation level.

5. The emergency modular hospital collaborative control method according to claim 4, characterized in that, The process of generating coordinateable terms for the control strategies of each emergency shelter at both the individual risk state and collaborative risk state levels, based on the influencing factors and their degree of impact on each shelter, includes: Based on the influencing factors and the degree of influence on each emergency shelter, the execution intensity and execution constraints of each emergency shelter in its control strategy are adjusted in a situational manner, generating a coordinateable item for the control strategy of each emergency shelter at the individual risk situation level. Based on the influencing factors and their degree of impact on each emergency modular unit, the interaction between the control strategies of each emergency modular unit in the current multi-module combination scenario is reconstructed in a situational manner, generating coordinateable items for the control strategies of each emergency modular unit at the level of collaborative risk situation.

6. The emergency mobile cabin coordinated control method according to claim 1, characterized in that, The step of adjusting the corresponding control strategies based on the coordinateable terms corresponding to each control strategy to obtain the target control strategy for each emergency shelter includes: Based on the coordinateable items of each emergency modular unit at the individual risk situation level, the control strategies of each emergency modular unit are modified by parameters to obtain the intermediate control strategies of each emergency modular unit. Based on the coordinateable items of each emergency module at the level of collaborative risk situation, the linkage timing and adjustment range distribution relationship between the intermediate control strategies of each emergency module are adapted and modified to obtain the target control strategies corresponding to each emergency module that simultaneously constrain the individual risk of a single module and the linkage risk of multiple modules.

7. The emergency mobile cabin coordinated control method according to any one of claims 1 to 6, characterized in that, The method further includes: The risk status level of each emergency module and the collaborative operation relationship of each emergency module are monitored in real time. When the risk status level of an emergency module is detected or the collaborative operation relationship changes, the target control strategy for each emergency module is redefined.

8. An emergency mobile cabin collaborative control device, characterized in that, The device includes: The parameter acquisition module is used to acquire the set of operating parameters corresponding to the multiple emergency modular units in the current multi-module combination scenario. The strategy determination module is used to assess the risk situation level of each emergency shelter based on each set of operating parameters, and determine the control strategy of each emergency shelter according to the risk situation level corresponding to each emergency shelter obtained from the assessment. The coordination analysis module is used to determine the collaborative operation relationship of each emergency module in the current multi-module combination scenario, and based on the collaborative operation relationship, to determine the coordinable items of each control strategy at the individual risk state level and the collaborative risk state level. The strategy adjustment module is used to adjust the corresponding control strategy according to the coordinateable items corresponding to each control strategy, so as to obtain the target control strategy for each emergency shelter.

9. A storage medium, characterized in that: The storage medium stores computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the emergency shelter collaborative control method as described in any one of claims 1 to 7.

10. A computer device, characterized in that, include: One or more processors, and memory; The memory stores computer-readable instructions, which, when executed by the one or more processors, perform the steps of the emergency shelter collaborative control method as described in any one of claims 1 to 7.

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