Multi-environment intelligent regulation device and method for explosion-proof circuit breaker

Abstract

The application discloses a multi-environment intelligent regulation and control device and method of an explosion-proof circuit breaker, and belongs to the field of circuit breaker regulation and control. The device comprises: state sensing of a target application environment of an explosion-proof electrical equipment to obtain real-time environment information; obtaining real-time load information of the explosion-proof electrical equipment; interacting with the explosion-proof circuit breaker to obtain real-time protection actions; initializing a root node by using the real-time environment information, the real-time load information and the real-time protection actions; predefining a parameter-adjusting simulation limit; expanding constraints by taking the root node as the protection actions; taking the parameter-adjusting simulation limit as simulation constraints; performing iterative simulation updating of the protection actions; positioning updated protection actions; and the explosion-proof circuit breaker performing short-term operation protection of the explosion-proof electrical equipment by using the updated protection actions. According to the state of the application environment and the load characteristics of the explosion-proof electrical equipment, the protection actions of the explosion-proof circuit breaker are adaptively adjusted, so that the technical effect of improving the safety and adaptability of the explosion-proof electrical equipment in multiple environments is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of circuit breaker regulation, in particular to a multi-environment intelligent regulation device and method for explosion-proof circuit breaker. BACKGROUND

[0002] Explosion-proof electrical equipment is widely used in industrial production, and its safe operation is directly related to the stability of the production process and the safety of the lives and property of the operating personnel. In order to ensure that the explosion-proof electrical equipment can quickly cut off the power supply when a fault occurs, and protect the equipment and personnel from damage, an explosion-proof circuit breaker is usually used to protect it. In the prior art, the protection parameters of the explosion-proof circuit breaker, such as the overload protection threshold, the short-circuit protection threshold and the protection response delay, are usually set at the time of factory shipment and remain fixed during use. However, the electrical characteristics of explosion-proof electrical equipment, such as insulation resistance, starting current and other parameters, may change significantly in different application environments, such as high temperature, humidity, dust, corrosive gases and other harsh working conditions. The fixed protection parameters of the explosion-proof circuit breaker are difficult to adapt to these changes, resulting in insensitive protection action or frequent misoperation. Therefore, the existing explosion-proof circuit breaker cannot adapt to the changes in electrical characteristics of explosion-proof electrical equipment in different application environments, and cannot meet the protection requirements of explosion-proof electrical equipment in complex and variable working conditions. SUMMARY

[0003] The present application provides a multi-environment intelligent regulation device and method for explosion-proof circuit breaker, which aims to solve the technical problem of fixed protection parameters of explosion-proof circuit breaker in the prior art, which cannot adapt to the changes in electrical characteristics of explosion-proof electrical equipment in different application environments.

[0004] In view of the above problems, the present application provides a multi-environment intelligent regulation device and method for explosion-proof circuit breaker.

[0005] The first aspect of the application discloses a multi-environment intelligent regulation and control device of an explosion-proof circuit breaker, which comprises an environment sensing module, a load monitoring module, a protection action acquisition module, a root node initialization module and an iterative simulation update module.

[0006] Another aspect of the application discloses a multi-environment intelligent regulation and control method of an explosion-proof circuit breaker, which comprises the following steps: acquiring real-time environment information by sensing the target application environment of an explosion-proof electrical device through an environment sensing unit installed on an explosion-proof circuit breaker, wherein the explosion-proof circuit breaker is connected in series in a connection circuit of a power supply and the explosion-proof electrical device; acquiring real-time load information of the explosion-proof electrical device through a load monitoring unit, wherein the load monitoring unit is pre-installed on the explosion-proof electrical device; acquiring a real-time protection action by interacting with the explosion-proof circuit breaker; initializing a root node by using the real-time environment information, the real-time load information and the real-time protection action; performing iterative simulation update of the protection action by defining a simulation parameter adjustment limit, taking the root node as a protection action expansion constraint and taking the simulation parameter adjustment limit as a simulation constraint, and positioning an updated protection action; and performing short-term operation protection of the explosion-proof electrical device by the explosion-proof circuit breaker using the updated protection action.

[0007] The one or more technical solutions provided in the application have at least the following technical effects or advantages:

[0008] The environment perception module obtains real-time environment information by installing an environment perception unit on the explosion-proof circuit breaker to realize real-time monitoring of the environment of the explosion-proof electrical equipment and provide an environment state basis for subsequent intelligent regulation and control. The load monitoring module obtains real-time load information of the explosion-proof electrical equipment by a load monitoring unit to realize real-time collection of the running load of the explosion-proof electrical equipment and provide an equipment state basis for subsequent intelligent regulation and control. The root node initialization module initializes the root node by using the real-time environment information, the real-time load information and the real-time protection action, and constructs an initial optimization scene. The short-term running protection module controls the explosion-proof circuit breaker to perform short-term running protection of the explosion-proof electrical equipment by using the updated protection action, and guides the real-time protection of the equipment.

[0009] The above description is only a summary of the technical scheme of the present application. BRIEF DESCRIPTION OF DRAWINGS

[0010] Figure 1 A structural schematic diagram of the multi-environment intelligent regulation and control device of the explosion-proof circuit breaker is provided for the embodiments of the present application.

[0011] Figure 2 A flow schematic diagram of the multi-environment intelligent regulation and control method of the explosion-proof circuit breaker is provided for the embodiments of the present application.

[0012] Legend: environment perception module 11, load monitoring module 12, protection action acquisition module 13, root node initialization module 14, iterative simulation update module 15, short-term running protection module 16. DETAILED DESCRIPTION

[0013] The general idea of the technical scheme provided by the present application is as follows:

[0014] Embodiments of the present application provide a multi-environment intelligent control device and method for explosion-proof circuit breakers. An environmental sensing module uses an environmental sensing unit installed on the explosion-proof circuit breaker to sense the target application environment of the explosion-proof electrical equipment and obtain real-time environmental information. A load monitoring module uses a load monitoring unit pre-installed on the explosion-proof electrical equipment to collect real-time load information of the explosion-proof electrical equipment. A protection action acquisition module interacts with the explosion-proof circuit breaker to obtain real-time protection action parameters. Based on the real-time information and parameters obtained, a root node initialization module uses the real-time environmental information, real-time load information, and real-time protection action as inputs to an optimization model to initialize the root node. An iterative simulation update module then uses predefined parameter adjustment simulation constraints as constraints and the initialized root node as a starting point to dynamically update and optimize the protection action parameters through iterative simulation, searching for the optimal protection parameter combination that adapts to the current environment and load conditions. The short-term operation protection module then transmits the optimized protection action parameters to the explosion-proof circuit breaker, guiding it to provide real-time safety protection for the explosion-proof electrical equipment. This application continuously monitors changes in the environment and load status of explosion-proof electrical equipment, and dynamically adjusts the circuit breaker's protection parameters based on this monitoring information, ensuring they always match the equipment's actual operating conditions. This reduces false trips and protection leaks while ensuring safety. Compared to existing technologies, this improves the intelligence and adaptability of explosion-proof circuit breakers, providing a strong guarantee for the safe operation of explosion-proof electrical equipment in complex and changing environments.

[0015] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically introduced in conjunction with the drawings in the specification.

[0016] Example 1

[0017] like Figure 1 As shown, an embodiment of the present application provides a multi-environment intelligent control device for an explosion-proof circuit breaker, the device comprising:

[0018] The environmental sensing module 11 is used to sense the state of the target application environment of the explosion-proof electrical equipment through the environmental sensing unit installed on the explosion-proof circuit breaker to obtain real-time environmental information, wherein the explosion-proof circuit breaker is connected in series in the connection circuit between the power supply and the explosion-proof electrical equipment.

[0019] Specifically, the environment perception module 11 monitors the state of the environment in which the explosion-proof electrical equipment is located in real time by arranging an environment perception unit on the explosion-proof circuit breaker, and obtains data information that can reflect the actual situation of the environment. Among them, the explosion-proof circuit breaker is connected between the explosion-proof electrical equipment and the power supply, and plays a protective role for the equipment. Among them, the environment perception unit contains various types of sensors, such as temperature and humidity sensors, gas concentration detection sensors, etc., which can comprehensively grasp the environment around the equipment by collecting different environmental parameters. The environment perception module 11 analyzes the data collected by each sensor, and obtains real-time environment information reflecting the real environment state at the current time, providing a data basis for intelligent regulation and control decisions.

[0020] The load monitoring module 12 is used to collect real-time load information of the explosion-proof electrical equipment through a load monitoring unit, wherein the load monitoring unit is pre-installed in the explosion-proof electrical equipment.

[0021] Specifically, the load monitoring module 12 collects real-time load information of the explosion-proof electrical equipment. This module continuously detects the load parameters during the operation of the equipment through the load monitoring unit pre-installed on the explosion-proof electrical equipment, and obtains data reflecting the actual working state of the equipment, i.e. real-time load information. Among them, the load monitoring unit includes current sensors, voltage sensors, power sensors, etc., which are used to detect the current, voltage, power and other key parameters of the explosion-proof electrical equipment. The load monitoring module 12 can monitor the running load of the equipment in real time by processing and analyzing the data collected by the load monitoring unit, and determine whether the equipment is in a normal working state. The load monitoring unit is pre-integrated in the explosion-proof electrical equipment, which realizes the on-site monitoring of the equipment load, and the information is more complete and accurate, thereby avoiding the interference of external wiring and improving the reliability of the monitoring data.

[0022] The protection action acquisition module 13 is used to interact with the explosion-proof circuit breaker to obtain real-time protection actions.

[0023] Specifically, the protection action acquisition module 13 establishes a communication connection with the explosion-proof circuit breaker, sends a query instruction to the explosion-proof circuit breaker regularly or on demand, requests the explosion-proof circuit breaker to return its current protection action configuration parameters, and obtains real-time protection actions, including real-time overload protection threshold, real-time short-circuit protection threshold, real-time protection response delay, etc., reflecting the protection strategy and action behavior of the explosion-proof circuit breaker under different conditions.

[0024] The real-time protection action obtained by the protection action obtaining module 13 can be comprehensively considered with the real-time environmental information collected by the environmental perception module 11 and the real-time load information obtained by the load monitoring module 12, and the rationality and effectiveness of the current protection action setting are dynamically evaluated. If it is found that the protection action setting cannot fully adapt to the current environmental conditions and equipment load state, the intelligent regulation mechanism can be started to optimize and adjust the protection action parameters, so as to ensure that the explosion-proof electrical equipment is always under safe and reliable protection. Since the protection action obtaining module 13 and the explosion-proof circuit breaker are in real-time interaction, the change of the circuit breaker protection action can be known in the first time, and a quick response is made for corresponding analysis and regulation, thereby improving the real-time performance and flexibility.

[0025] The root node initialization module 14 is configured to initialize the root node by using the real-time environmental information, the real-time load information and the real-time protection action.

[0026] Specifically, the root node initialization module 14 is responsible for collecting the real-time environmental information obtained by the environmental perception module 11, the real-time load information collected by the load monitoring module 12 and the real-time protection action obtained by the protection action obtaining module 13, and initializing the root node based on the three types of data. The root node is the starting node of the decision tree, representing the initial state of the intelligent regulation process. By taking the real-time environmental information, the real-time load information and the real-time protection action as the attribute values of the root node, the external environmental conditions, the internal running state of the explosion-proof electrical equipment and the protection strategy configuration of the circuit breaker are comprehensively described, thereby providing a benchmark and basis for subsequent intelligent regulation decisions.

[0027] Through dynamic updating of the attribute values of the root node, the changes of the running state of the explosion-proof electrical equipment can be reflected in real time, so that the protection action can be adjusted in time in response to the fluctuations of the environment and the load, thereby realizing the optimization of equipment protection.

[0028] The iterative simulation updating module 15 is configured to predefine a simulation limiting, take the root node as a protection action expansion constraint, take the simulation limiting as a simulation constraint, and perform iterative simulation updating of the protection action to locate and update the protection action.

[0029] Specifically, first, the iterative simulation updating module 15 presets the parameter adjustment simulation limit, including the upper limit of the number of simulation iterations, the time limit of a single iteration, etc., for controlling the computational complexity and resource consumption of the entire simulation optimization process, and ensuring the real-time and efficiency of the regulation and control decision. In the process of iterative simulation, taking the root node state initialized by the root node initialization module 14 as the starting point, the iterative simulation updating module 15 generates multiple candidate protection action parameter combinations on the basis of the existing protection action settings of the root node, forming an expanded space of protection actions. Next, the iterative simulation updating module 15 simulates and evaluates each candidate protection action parameter combination, scores and sorts the candidate schemes according to the evaluation results, and selects the optimal protection action parameter combination as the result of this iteration. The iterative simulation updating module 15 repeats the above process to continuously update the protection action parameters until the preset parameter adjustment simulation limit is reached, such as the number of iterations reaching the upper limit or the optimization amplitude of consecutive multiple iterations being less than a threshold, etc., so as to find the optimal protection action parameter combination as the updated protection action.

[0030] Through the iterative simulation updating of the iterative simulation updating module 15, the key protection parameters of the explosion-proof circuit breaker are adjusted online according to the actual running state of the equipment, the optimal protection strategy is automatically found, and the intelligent level and adaptability of the explosion-proof circuit breaker are improved.

[0031] The short-term operation protection module 16 is used for the explosion-proof circuit breaker to perform short-term operation protection of the explosion-proof electrical equipment using the updated protection action.

[0032] Specifically, after the iterative simulation updating module 15 locates the updated protection action, the updated protection action is transmitted to the short-term operation protection module 16 through the communication interface. After receiving the updated protection action, the short-term operation protection module 16 immediately issues it to the explosion-proof circuit breaker, dynamically adjusts the protection strategy configuration of the explosion-proof circuit breaker, so that it is consistent with the current updated protection action, and realizes the short-term operation protection of the explosion-proof electrical equipment. Among them, the short-term operation protection refers to the use of the updated protection action by the explosion-proof circuit breaker to continuously protect the explosion-proof electrical equipment within a relatively short time range, usually within the time window between two protection action parameter updates. In this process, if an abnormal situation such as overload or short circuit occurs, the explosion-proof circuit breaker will quickly respond according to the updated protection action and cut off the power supply in time to ensure the safety of the equipment.

[0033] Since the environmental conditions and load states are dynamically changing, the environmental perception module 11 and the load monitoring module 12 acquire the latest state information in the running process of the equipment in real time. If it is found that the currently used protection action is no longer suitable for the latest state, a new protection action optimization process is triggered immediately to generate a more matched protection action, and the configuration of the explosion-proof circuit breaker is updated in time to always maintain the dynamic synchronization of the protection strategy and the actual demand.

[0034] Through the dynamic execution mechanism of the short-term operation protection module 16, the explosion-proof electrical equipment can be in an optimized protection state throughout the entire operation cycle, effectively dealing with various sudden abnormal situations, and adjusting the protection strategy in real time according to the changes of the environment and the load, thereby maximizing the safety, reliability and efficiency of the equipment and improving the overall performance.

[0035] Further, the environment perception module 11 includes the following execution steps:

[0036] The preset monitoring and perception interval is constrained by the environment perception unit to perform state perception on the target application environment. When the environment perception unit outputs the real-time environment information, the real-time load information is obtained from the load monitoring unit according to the real-time perception node of the real-time environment information. The load monitoring behavior of the load monitoring unit is updated according to the real-time perception node and the monitoring and perception interval. The load monitoring unit is constrained by the monitoring and perception interval to perform load monitoring on the explosion-proof electrical equipment. When the load monitoring unit outputs the real-time load information, the real-time environment information is obtained from the environment perception unit according to the real-time monitoring node of the real-time load information. The environment perception behavior of the environment perception unit is updated according to the real-time monitoring node and the monitoring and perception interval.

[0037] In a feasible implementation, a more efficient and cooperative environment perception and load monitoring mechanism is provided. By presetting the monitoring and perception interval, bidirectional communication and synchronous calling between the environment perception unit and the load monitoring unit are realized, further improving the real-time performance and accuracy.

[0038] First, a preset monitoring and sensing interval is set as the basic time unit for data collection and state monitoring by the environment sensing unit and the load monitoring unit. The monitoring and sensing interval is set according to the characteristics of the explosion-proof electrical equipment, the requirements of the application scene and other factors, which not only ensures the real-time of information acquisition, but also takes into account the effective use of resources. By setting the monitoring and sensing interval, a unified time reference is provided for the subsequent collaborative sensing mechanism, which facilitates data synchronization and alignment. During normal operation, the environment sensing unit continuously monitors the environment in which the explosion-proof electrical equipment is located at the preset monitoring and sensing interval. When the environment sensing unit completes a data collection and outputs real-time environment information, a time stamp is generated to mark the specific time of this sensing, forming a real-time sensing node. Then, the real-time sensing node is immediately notified to the load monitoring unit, triggering it to perform a synchronous load data collection, and the collection result is returned to the environment sensing unit. In this process, if the environment sensing unit detects that the environmental parameters (such as temperature, humidity, etc.) are abnormal (i.e., exceed the safety range), it will immediately notify the load monitoring unit of the abnormal situation and request it to perform an additional load data collection. At the same time, the time point at which the environment sensing unit discovers the abnormality is taken as a real-time sensing node, and the monitoring period of the load monitoring unit is dynamically adjusted according to the node and the preset monitoring and sensing interval, so that the next data collection of the load monitoring unit is aligned with the real-time sensing node. In this way, it is ensured that the load monitoring unit can follow up in time and provide load state data corresponding to the abnormal time after the environment abnormality occurs.

[0039] Similarly, during the data collection process of the load monitoring unit at the monitoring and sensing interval, if abnormal fluctuations are found in the load current, voltage and other parameters, the environment sensing unit will be immediately notified of the abnormal situation and requested to perform a synchronous environment state sensing, and the sensing result will be fed back to the load monitoring unit. At the same time, the time point at which the load monitoring unit discovers the abnormality is taken as a real-time monitoring node, and the monitoring period of the environment sensing unit is adjusted based on this node, so that the next data collection of the environment sensing unit is synchronized with the real-time monitoring node. In this way, it is ensured that the environment sensing unit can respond quickly and provide environment state data associated with the abnormal time after the load abnormality occurs.

[0040] Through close cooperation between environment sensing and load monitoring, any abnormality found by one monitoring unit will immediately notify the other monitoring unit to perform a synchronous data collection, and dynamically adjust its monitoring period to accurately align the abnormal time with the data collection time, so as to comprehensively and accurately grasp the environmental parameters and load characteristics of the explosion-proof electrical equipment in abnormal state, and provide reliable data support for intelligent control decision.

[0041] Further, the environment sensing module 11 further comprises the following execution steps:

[0042] The N associated environment indicators related to the operation safety of the explosion-proof electrical equipment in the target application environment are obtained through interaction; N environment sensors are configured based on the N associated environment indicators, and the environment perception unit is obtained by integrating the N environment sensors; the environment perception unit perceives the state of the target application environment of the explosion-proof electrical equipment to obtain N updated environment parameters and N historical environment parameters, wherein the collection interval of the N updated environment parameters and the N historical environment parameters is the monitoring and perception interval; the N updated environment parameters and the N historical environment parameters are synchronized to the pre-constructed environment update judgment unit for protection action regulation and judgment; if the output result of the environment update judgment unit is yes, the N updated environment parameters are taken as the real-time environment information, and the load monitoring unit is activated to synchronously call the real-time load information.

[0043] In a preferred embodiment, when the environment perception unit outputs real-time environment information, real-time load information is synchronously called from the load monitoring unit according to the real-time perception node of the real-time environment information, and the load monitoring behavior of the environment perception unit is updated according to the real-time perception node and the monitoring and perception interval. First, through an interactive way, N associated environment indicators closely related to the operation safety of the explosion-proof electrical equipment in the target application environment are obtained. The N associated environment indicators are selected and determined according to the specific type of the equipment, the application scenario, the process requirements and other factors, such as temperature, humidity, gas concentration, dust concentration, etc. By comprehensively considering the influence of various environmental factors on the safe operation of the equipment, a precise and reliable environment perception index system is constructed. Then, according to the determined N associated environment indicators, N corresponding environment sensors are configured. Each sensor corresponds to one indicator and is responsible for the real-time collection and monitoring of the indicator. By integrating the N environment sensors together, a complete environment perception unit is formed, which can perceive the environmental state of the explosion-proof electrical equipment in all directions and multidimensionally.

[0044] In actual operation, the environment perception unit continuously monitors the state of the target application environment at a preset monitoring and perception interval. At the end of each monitoring period, the environment perception unit outputs two sets of data: one set is the latest environment parameters collected in the current period, denoted as N updated environment parameters; the other set is the environment parameters collected in the last monitoring period, denoted as N historical environment parameters. The time interval between the collection of the two sets of data is equal to the preset monitoring and perception interval. In order to determine whether the environment state has changed significantly, the two sets of environment parameters are compared and analyzed. The N updated environment parameters and the N historical environment parameters are transmitted synchronously to a pre-constructed environment update judgment unit. The environment update judgment unit comprehensively considers factors such as the change amplitude, change rate, and overrun degree of each index, and combines with the preset threshold condition to comprehensively evaluate the change of the environment state and give a judgment result of whether the protection action needs to be adjusted, obtaining the environment update judgment unit.

[0045] If the output result of the environment update judgment unit is yes, it indicates that the environment state has changed significantly, and the protection strategy of the explosion-proof electrical equipment needs to be adjusted accordingly. At this time, the N updated environment parameters collected in the current period are taken as real-time environment information to generate a real-time perception node, and the load monitoring unit is triggered to perform a synchronous load data collection immediately, realizing the synchronous calling of real-time load information according to real-time environment information. Among them, synchronous calling refers to that the load monitoring unit responds and performs collection action immediately when the environment perception unit issues a data collection request, so that the load monitoring data and the environment perception data are aligned in time, reflecting the environment state and load state of the device at the same time.

[0046] Through real-time synchronization and dynamic correlation of environment perception information and load monitoring information, when the environment state changes significantly, the change can be captured sensitively, and the time point of the change is accurately recorded through the real-time perception node. At the same time, based on the real-time perception node, the synchronous data collection of the load monitoring unit is triggered, and its monitoring behavior is dynamically adjusted, so that the load monitoring information and the environment perception information are completely synchronized in time, reflecting the real running state of the device at the time of environment change, providing high-quality data support for intelligent control decision, which helps to improve the pertinence and effectiveness of control.

[0047] Further, the environment perception module 11 further comprises the following execution steps:

[0048] The N-level correlation fault tolerance space of the N correlation environment indexes is predefined by using expert evaluation method; an environment fault tolerance evaluation function is introduced, wherein the environment fault tolerance evaluation function is as follows:

[0049] .

[0050] Among them, f(H, U, T) is the extreme value of the validation condition, H= (h1, h2, ... h N ), is a set of N historical environmental parameters, U=(u1,u2,…u N ), is a set of N updated environment parameters, T=(t1, t2,…t N ), which is the N-level associated fault-tolerant space; after constructing N environmental risk identification branches based on the N-level associated fault-tolerant space, the N environmental risk identification branches are connected in parallel to obtain an environmental risk identification layer; after constructing the environmental risk verification layer, the environmental fault-tolerant evaluation function is synchronized to the environmental risk verification layer; interactively obtain the verification condition threshold, and configure the verification condition threshold at the output end of the environmental risk verification layer; cascade the environmental risk identification layer and the environmental risk verification layer to obtain an environmental update judgment unit.

[0051] In a preferred embodiment, an environmental update judgment unit is constructed to synchronously perform protection action control judgments on N updated environmental parameters and N historical environmental parameters. First, an expert evaluation method is adopted to predefine N levels of associated fault tolerance spaces corresponding to N associated environmental indicators. The fault tolerance space of each indicator reflects the reasonable value range of the indicator under normal working conditions, as well as the tolerance for abnormal fluctuations. Among them, the size of the fault tolerance space is reasonably set according to factors such as the importance and stability of the indicator. It is necessary to avoid frequent false alarms due to being too small, and to avoid being unable to detect abnormalities in time due to being too large. Then, an environmental fault tolerance evaluation function is introduced to quantitatively evaluate the severity of changes in environmental conditions. The environmental fault tolerance evaluation function is as follows:

[0052] .

[0053] Among them, f(H, U, T) is the extreme value of the validation condition, H= (h1, h2, ... h N ), is a set of N historical environmental parameters, U=(u1,u2,…u N ), is a set of N updated environment parameters, T=(t1, t2,…t N ), represents the N-level associated fault tolerance space. Using the environmental fault tolerance evaluation function, for each associated environmental indicator, the absolute value of the difference between its updated value and its historical value is calculated. This difference is then divided by the size of the fault tolerance space for that indicator to obtain a dimensionless relative rate of change. The maximum relative rate of change across all indicators is taken as the extreme value of the validation condition for the overall environmental state change. A larger extreme value indicates a more drastic change in the environmental state and a greater likelihood of exceeding the normal fluctuation range.

[0054] To realize the hierarchical judgment of environmental state changes, N environmental risk identification branches are constructed based on N-level correlation fault-tolerant spaces. Each branch corresponds to a correlation environmental index, and a binary risk identification result (0 represents normal, 1 represents abnormal) is given according to whether the updated value of the index falls within the corresponding fault-tolerant space. Parallel combination of the N risk identification branches forms a complete environmental risk identification layer, which can preliminarily screen the state of each index. On the basis of the environmental risk identification layer, an environmental risk verification layer is constructed to further quantitatively evaluate and comprehensively judge the preliminary screening result of the environmental risk identification layer. For this purpose, the environmental fault-tolerant evaluation function is synchronized to the environmental risk verification layer to evaluate the degree of change in the environmental state. At the same time, the verification condition threshold is obtained through human-computer interaction and set as the output threshold of the verification layer. When the extreme value of the verification condition calculated by the environmental fault-tolerant evaluation function exceeds the threshold, it is considered that the environmental state has changed significantly and needs to be regulated and decided. Then, by cascading the environmental risk identification layer and the environmental risk verification layer, a complete environmental update judgment unit is obtained.

[0055] Through hierarchical screening and quantitative evaluation, the environmental update judgment unit can comprehensively consider the state changes of various correlation environmental indexes, accurately identify the abnormal conditions that really need to be regulated and decided, ensure the safety of the equipment, avoid too frequent invalid regulation, and improve the stability and efficiency of operation.

[0056] Further, the real-time protection action is composed of a real-time overload protection threshold, a real-time short-circuit protection threshold, and a real-time protection response delay.

[0057] In a preferred embodiment, the real-time protection action is composed of three key parameters, namely the real-time overload protection threshold, the real-time short-circuit protection threshold and the real-time protection response delay, which jointly determine the strategy and manner of the explosion-proof circuit breaker to implement protection action on the explosion-proof electrical equipment at a specific moment. Among them, the real-time overload protection threshold refers to the current overload current trigger value set by the circuit breaker, when the actual working current of the explosion-proof electrical equipment continuously exceeds the real-time overload protection threshold for a certain time, the explosion-proof circuit breaker will judge that the equipment is in an overload state, and start the corresponding protection measures, such as issuing an alarm, limiting the output power, and even cutting off the power supply to avoid equipment damage; the real-time short-circuit protection threshold refers to the current short-circuit current trigger value set by the circuit breaker, when the actual working current of the equipment exceeds the real-time short-circuit protection threshold instantaneously, the explosion-proof circuit breaker will judge that a short-circuit fault has occurred, and immediately cut off the power supply to prevent the equipment and the line from being damaged; the real-time protection response delay refers to the time interval from the detection of overload or short-circuit condition to the actual execution of power-off protection action. Generally speaking, in order to prevent misoperation and premature disconnection of the power load, the explosion-proof circuit breaker will not immediately disconnect the power supply after discovering overload or short-circuit, but will wait for a certain time according to the pre-set real-time protection response delay to confirm that the fault condition really exists.

[0058] Through the real-time protection action, the explosion-proof electrical equipment can maximize its normal working performance under the premise of ensuring the safety of the equipment according to the specific environment and load conditions of the equipment, and improve the service life and reliability of the explosion-proof electrical equipment.

[0059] Further, the embodiments of the present application also include:

[0060] interactively obtaining overload protection requirements, wherein the overload protection requirements comprise adjusting an overload protection threshold, adjusting a short-circuit protection threshold, and adjusting a protection response delay; constructing an overload protection action space based on the overload protection requirements and a real-time overload protection threshold; performing environmental regulation log calling of the explosion-proof circuit breaker with the overload protection action space as a constraint to obtain a plurality of historical protection actions, a plurality of historical environmental information, and a plurality of historical load information; constructing H sub-action trees according to the intersection relationship of the plurality of historical protection actions, and mapping and storing the plurality of historical environmental information and the plurality of historical load information into the sub-nodes of the H sub-action trees; connecting the H sub-action trees to the root node to obtain a basic decision tree; calculating a plurality of first action values of the plurality of historical environmental information and real-time environmental information based on the Euclidean distance, and calculating a plurality of second action values of the plurality of historical load information and real-time load information; after updating the plurality of first action values and the plurality of second action values to the basic decision tree according to the storage relationship of the plurality of historical environmental information and the plurality of historical load information in the sub-nodes of the H sub-action trees, performing cumulative value calculation of the sub-nodes in the basic decision tree to obtain a value decision tree.

[0061] In a preferred embodiment, before the iterative simulation update and positioning of the protection action are performed, first, the overload protection requirements proposed by the user or the expert are obtained through interaction, including adjusting the overload protection threshold, adjusting the short-circuit protection threshold, and adjusting the protection response delay, reflecting the specific demands of the actual application scene on the protection strategy. Then, based on the obtained overload protection requirements and the current real-time overload protection threshold, the overload protection action space is constructed, defining the feasible adjustment range and optimization freedom of the overload protection strategy, providing constraint boundaries and search fields for simulation iteration. Next, with the overload protection action space as a constraint, the historical environmental regulation log data of the explosion-proof circuit breaker is called to obtain a series of historical information related to the overload protection, including a plurality of historical protection action records, a plurality of historical environmental information corresponding thereto, and a plurality of historical load information. These historical data reflect the actual protection behavior and effect of the circuit breaker under different working conditions.

[0062] Subsequently, the acquired historical data is classified, sorted and associated. Specifically, according to the intersection relationship between a plurality of historical protection action records, a number of independent sub-action sets are classified, and H sub-action trees are constructed based thereon. Each sub-action tree represents a group of similar or related protection action sequences. Then, the historical environment information and the historical load information corresponding to each historical protection action record are mapped and stored into the leaf nodes of the corresponding sub-action tree according to certain rules, forming a complete case knowledge base. Subsequently, the H sub-action trees are connected to a common root node to form a complete basic decision tree. The basic decision tree takes the current real-time protection action as the root node and the historical protection action as the branch node, reflecting the protection decision logic and optimization path of the circuit breaker under different conditions.

[0063] Subsequently, the Euclidean distance metric is introduced to calculate the similarity between each historical environment information and the current real-time environment information, and the similarity between each historical load information and the current real-time load information. Then, these similarity values are quantified as corresponding first action values and second action values as evaluation indicators for measuring the matching degree of historical protection actions and current real-time working conditions. Then, according to the storage location and mapping relationship of historical environment information and historical load information in the H sub-action trees, the corresponding first action values and second action values are updated to the corresponding nodes of the basic decision tree to integrate historical experience knowledge and current real-time information, providing quantitative reference for subsequent simulation optimization. After completing the node value update of the decision tree, a bottom-up node cumulative value calculation is performed to obtain a complete value decision tree. Specifically, for each non-leaf node, its cumulative value is equal to the sum of the cumulative values of all its child nodes, plus the first action value and the second action value of the node itself. Through cumulative calculation, the overall advantages and disadvantages of the protection action sequence represented by the sub-tree with the node as the root can be comprehensively reflected, providing a quantitative basis for subsequent decision optimization.

[0064] Through the value decision tree, historical experience data and current real-time information are comprehensively integrated, providing a rich knowledge source and reference sample for simulation optimization. At the same time, through the quantitative action values and cumulative values, an intuitive and reasonable evaluation standard is provided for the comparison of the advantages and disadvantages of different protection action sequences, indicating the direction for the search of the optimal decision.

[0065] Further, the iterative simulation update module 15 includes the following execution steps:

[0066] Traverse the value decision tree, locate the target sub-node with the highest cumulative action value, and call the historical protection action of the target sub-node as an extended protection action; perform network data calling based on the extended protection action and overload protection requirements, and construct a first updated decision tree based on the calling result; recursively traverse the first updated decision tree, locate the target sub-node with the highest cumulative action value, and perform second updated decision tree construction; perform local extension of the updated decision tree and iterative simulation update of the protection action with the simulation parameter adjustment limit as the simulation constraint, until the updated protection action is located.

[0067] In a preferred embodiment, when optimizing the protection action, first, preset the simulation parameter adjustment limit, such as the upper limit of the simulation iteration number, the single-step extension depth limit, and the like, to balance the optimization effect and the calculation cost. At the same time, take the current real-time protection action (i.e., the root node) as a reference to appropriately constrain the possible protection action adjustment range, to ensure that the optimized strategy meets the actual demand and safety requirements. After completing the above preparation work, recursively traverse and iteratively update the value decision tree, until the optimal protection action strategy is obtained. First, traverse the current value decision tree, find the target sub-node with the highest value by comparing the cumulative action values of the nodes, and exclude the root nodes of the H trees in the traversal process. The historical protection action corresponding to the node is regarded as a reference sample most likely to improve the real-time protection strategy, and is therefore selected as the extended protection action for this round of optimization. Then, based on the extended protection action and in combination with the previously obtained overload protection requirements, collect external information and knowledge related to the action strategy through network data calling, such as the operation experience of similar devices, expert opinions and suggestions, and the like. Then, based on the calling results, appropriately correct and improve the extended protection action, and take the extended protection action as the root node to construct a new decision tree, referred to as the first updated decision tree. The construction process of the tree is similar to that of the aforementioned basic decision tree, which forms a local optimization space around the extended protection action by associating the historical data and calculating the node value and the cumulative value. Then, recursively traverse and analyze the first updated decision tree, find the new target sub-node with the highest cumulative action value in the tree, and construct a second updated decision tree with the node as the root, to further approximate the optimal solution by performing more in-depth and detailed local search and improvement based on the first round of optimization.

[0068] Repeat the above process to perform multiple rounds of iterative extension and simulation optimization of the updated decision tree with the simulation parameter adjustment limit as the constraint condition. In each iteration, select the current most potential protection action node, and construct an updated decision tree around the local area of the node to gradually refine and improve the protection strategy. When the preset iteration termination condition of the simulation parameter adjustment limit is met, the protection action corresponding to the target sub-node obtained in the last round is taken as the final optimization result, i.e., the updated protection action.

[0069] Through the iterative simulation optimization, the historical experience knowledge in the value decision tree can be fully utilized, and the real-time working condition information and external data are combined to perform adaptive dynamic adjustment and optimization on the protection action strategy. Each iteration focuses on the most promising local optimization direction, and through the construction of an updated decision tree, the protection strategy is continuously refined and improved, and finally an optimal solution that balances all factors is obtained as an updated protection action.

[0070] In summary, the multi-environment intelligent regulation and control device of the explosion-proof circuit breaker provided in the embodiments has the following technical effects:

[0071] The environment perception module is configured to perceive the state of the target application environment of the explosion-proof electrical equipment through an environment perception unit installed on the explosion-proof circuit breaker, and obtain real-time environment information. The explosion-proof circuit breaker is connected in series in a connection circuit of a power supply and the explosion-proof electrical equipment, and provides a basis for the subsequent intelligent regulation and control of the state of the external environment of the equipment. The load monitoring module is configured to collect real-time load information of the explosion-proof electrical equipment through a load monitoring unit. The load monitoring unit is pre-installed in the explosion-proof electrical equipment, and provides a basis for the subsequent intelligent regulation and control of the internal running state of the equipment. The protection action acquisition module is configured to interact with the explosion-proof circuit breaker to obtain a real-time protection action, and provides an optimization starting point for the subsequent intelligent regulation and control, i.e., the original protection setting of the circuit breaker. The root node initialization module is configured to initialize a root node using the real-time environment information, the real-time load information, and the real-time protection action to start the intelligent regulation and control process. The iterative simulation update module is configured to predefine a simulation parameter adjustment limit, expand a constraint with the root node as the protection action, and perform iterative simulation update on the protection action, locate an updated protection action, and search for an optimal parameter combination that is adapted to the current environment and load state by repeatedly iterating simulation and continuously correcting and updating the protection action parameters. The short-term running protection module is configured to use the updated protection action to perform short-term running protection of the explosion-proof electrical equipment, apply the result of the intelligent regulation and control to the equipment running practice, and realize adaptive adjustment of the protection action of the explosion-proof circuit breaker to improve the safety and adaptability of the explosion-proof electrical equipment in multiple environments.

[0072] Embodiment Two

[0073] Based on the same inventive concept as the multi-environment intelligent regulation and control device of the explosion-proof circuit breaker in the foregoing embodiments, as shown in Figure 2 The embodiments of the present application provide a multi-environment intelligent regulation and control method of an explosion-proof circuit breaker. The method comprises the following steps:

[0074] The real-time environment information is obtained by a state sensing of a target application environment of the explosion-proof electrical equipment through an environment sensing unit installed on an explosion-proof circuit breaker in series in a connecting circuit of a power supply and the explosion-proof electrical equipment.

[0075] The real-time load information of the explosion-proof electrical equipment is obtained by a load monitoring unit pre-installed on the explosion-proof electrical equipment.

[0076] The explosion-proof circuit breaker is interacted to obtain a real-time protection action.

[0077] The real-time environment information, the real-time load information and the real-time protection action are used to initialize a root node.

[0078] A parameter-adjusting simulation limit is predefined, a constraint is expanded for the protection action with the root node, an iterative simulation update of the protection action is performed with the parameter-adjusting simulation limit as a simulation constraint, and an updated protection action is located.

[0079] The explosion-proof circuit breaker performs short-term operation protection of the explosion-proof electrical equipment with the updated protection action.

[0080] Further, the embodiments of the present application further include:

[0081] A monitoring and sensing interval is preset, the environment sensing unit performs state sensing on the target application environment with the monitoring and sensing interval as a constraint, the real-time load information is synchronously called from the load monitoring unit according to a real-time sensing node of the real-time environment information when the environment sensing unit outputs the real-time environment information, a load monitoring behavior of the load monitoring unit is updated according to the real-time sensing node and the monitoring and sensing interval, the load monitoring unit performs load monitoring on the explosion-proof electrical equipment with the monitoring and sensing interval as a constraint, the real-time environment information is synchronously called from the environment sensing unit according to a real-time monitoring node of the real-time load information when the load monitoring unit outputs the real-time load information, and an environment sensing behavior of the environment sensing unit is updated according to the real-time monitoring node and the monitoring and sensing interval.

[0082] Further, the embodiments of the present application further include:

[0083] Interactively obtain N associated environmental indicators associated with the operational safety of the explosion-proof electrical equipment in the target application environment; configure N environmental sensors based on the N associated environmental indicators, and obtain the environmental perception unit by integrating the N environmental sensors; the environmental perception unit performs state perception of the target application environment in which the explosion-proof electrical equipment is located, and obtains N updated environmental parameters and N historical environmental parameters, wherein the collection interval of the N updated environmental parameters and the N historical environmental parameters is the monitoring perception interval; synchronize the N updated environmental parameters and the N historical environmental parameters to a pre-built environmental update judgment unit for protection action regulation judgment; if the output result of the environmental update judgment unit is yes, use the N updated environmental parameters as the real-time environmental information, and activate the load monitoring unit to perform synchronous call of the real-time load information.

[0084] Furthermore, the embodiment of the present application also includes:

[0085] An expert evaluation method is used to predefine the N-level associated fault tolerance space of the N associated environmental indicators; an environmental fault tolerance evaluation function is introduced, wherein the environmental fault tolerance evaluation function is as follows:

[0086] .

[0087] Among them, f(H, U, T) is the extreme value of the validation condition, H= (h1, h2, ... h N ), is a set of N historical environmental parameters, U=(u1,u2,…u N ), is a set of N updated environment parameters, T=(t1, t2,…t N ), which is the N-level associated fault-tolerant space; after constructing N environmental risk identification branches based on the N-level associated fault-tolerant space, the N environmental risk identification branches are connected in parallel to obtain an environmental risk identification layer; after constructing the environmental risk verification layer, the environmental fault-tolerant evaluation function is synchronized to the environmental risk verification layer; interactively obtain the verification condition threshold, and configure the verification condition threshold at the output end of the environmental risk verification layer; cascade the environmental risk identification layer and the environmental risk verification layer to obtain an environmental update judgment unit.

[0088] Furthermore, the real-time protection action is composed of a real-time overload protection threshold, a real-time short-circuit protection threshold and a real-time protection response delay.

[0089] Furthermore, the embodiment of the present application also includes:

[0090] The interactive overload protection requirement is obtained, wherein the overload protection requirement comprises adjusting an overload protection threshold, adjusting a short-circuit protection threshold, and adjusting a protection response delay; an overload protection action space is constructed based on the overload protection requirement and a real-time overload protection threshold; an environmental regulation log of the explosion-proof circuit breaker is called with the overload protection action space as a constraint to obtain a plurality of historical protection actions, a plurality of historical environmental information, and a plurality of historical load information; H sub-action trees are constructed according to a relationship of intersection of the plurality of historical protection actions, and the plurality of historical environmental information and the plurality of historical load information are mapped and stored into sub-nodes of the H sub-action trees; the H sub-action trees are connected to the root node to obtain a basic decision tree; a plurality of first action values of the plurality of historical environmental information and real-time environmental information are calculated based on a Euclidean distance, and a plurality of second action values of the plurality of historical load information and real-time load information are calculated; after the plurality of first action values and the plurality of second action values are updated to the basic decision tree according to a storage relationship of the plurality of historical environmental information and the plurality of historical load information in the sub-nodes of the H sub-action trees, a cumulative value calculation of the sub-nodes in the basic decision tree is performed to obtain a value decision tree.

[0091] Further, the embodiments of the present application further include:

[0092] The value decision tree is traversed to locate a target sub-node with the highest cumulative action value, and a historical protection action of the target sub-node is called as an extended protection action; networking data is called based on the extended protection action and the overload protection requirement, and a first updated decision tree is constructed based on a calling result; by analogy, the first updated decision tree is traversed to locate a target sub-node with the highest cumulative action value, and a second updated decision tree is constructed; local extension of the updated decision tree and iterative simulation update of the protection action are performed with the parameter adjustment simulation restriction as a simulation constraint until the updated protection action is located.

[0093] Any step of the above-described method can be stored as computer instructions or programs in an unrestricted computer memory and can be called and recognized by an unrestricted computer processor to implement any method in the embodiments of the present application, without redundant limitations.

[0094] Further, the above-described first or second may not only represent a sequence relationship, but also may represent a certain specific concept, and / or refer to a plurality of elements that can be selected individually or collectively. Obviously, those skilled in the art can make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technologies, the present application is intended to include these modifications and variations.

Claims

1. The multi-environment intelligent control device for explosion-proof circuit breakers is characterized by: The device comprises: An environmental perception module, which is used to perceive the state of the target application environment of the explosion-proof electrical equipment through an environmental perception unit installed on an explosion-proof circuit breaker to obtain real-time environmental information, wherein the explosion-proof circuit breaker is connected in series in the connection circuit between the power supply and the explosion-proof electrical equipment; A load monitoring module, the load monitoring module is used to collect and obtain real-time load information of the explosion-proof electrical equipment through a load monitoring unit, wherein the load monitoring unit is pre-installed on the explosion-proof electrical equipment; A protection action acquisition module, the protection action acquisition module is used to interact with the explosion-proof circuit breaker to obtain real-time protection actions; A root node initialization module, the root node initialization module is used to initialize the root node using the real-time environment information, real-time load information and real-time protection action; An iterative simulation update module, wherein the iterative simulation update module is used to predefine parameter adjustment simulation restrictions, use the root node as a protection action expansion constraint, use the parameter adjustment simulation restrictions as simulation constraints, perform iterative simulation updates on the protection action, and locate and update the protection action; A short-term operation protection module, wherein the short-term operation protection module is used for the explosion-proof circuit breaker to perform short-term operation protection of the explosion-proof electrical equipment by adopting the updated protection action; The environment perception module further includes the following execution steps: Preset monitoring perception interval; The environment perception unit performs state perception of the target application environment based on the monitoring perception interval as a constraint, and when the environment perception unit outputs the real-time environment information, synchronously calls the load monitoring unit to obtain the real-time load information according to the real-time perception node of the real-time environment information; updating the load monitoring behavior of the load monitoring unit according to the real-time sensing node and the monitoring sensing interval; The load monitoring unit performs load monitoring on the explosion-proof electrical equipment based on the monitoring sensing interval. When the load monitoring unit outputs the real-time load information, the real-time environmental information is synchronously obtained from the environmental sensing unit according to the real-time monitoring node of the real-time load information. Update the environment sensing behavior of the environment sensing unit according to the real-time monitoring node and the monitoring sensing interval; The real-time protection action is composed of a real-time overload protection threshold, a real-time short-circuit protection threshold and a real-time protection response delay.

2. The multi-environment intelligent control device for explosion-proof circuit breaker according to claim 1, characterized in that: The environment perception module further includes the following execution steps: Interactively obtaining N associated environmental indicators associated with the operational safety of the explosion-proof electrical equipment in the target application environment; Configuring N environmental sensors based on the N associated environmental indicators, and obtaining the environmental perception unit by integrating the N environmental sensors; The environmental perception unit performs state perception on the target application environment in which the explosion-proof electrical equipment is located, and obtains N updated environmental parameters and N historical environmental parameters, wherein the collection interval of the N updated environmental parameters and the N historical environmental parameters is the monitoring perception interval; Synchronizing the N updated environmental parameters and the N historical environmental parameters to a pre-built environmental update judgment unit for protection action control judgment; If the output result of the environment update judgment unit is yes, the N updated environment parameters are used as the real-time environment information, and the load monitoring unit is activated to perform synchronous calling of the real-time load information.

3. The multi-environment intelligent control device for explosion-proof circuit breaker according to claim 2, characterized in that: The environment perception module further includes the following execution steps: Predefine N-level correlation fault tolerance spaces of the N correlation environment indicators using an expert evaluation method; An environmental fault tolerance evaluation function is introduced, wherein the environmental fault tolerance evaluation function is as follows: ； in, f(H, U, T) is the extreme value of the validation condition, H=(h 1 ，h 2 ，…h N ） , is a set of N historical environmental parameters, U=(u 1 ， u 2 ，…u N ） , is a set of N updated environment parameters, T=(t 1 ，t 2 ，…t N ） , is the N-level associated fault-tolerant space; After constructing N environmental risk identification branches based on the N-level associated fault-tolerant space, the N environmental risk identification branches are connected in parallel to obtain an environmental risk identification layer; After constructing the environmental risk verification layer, synchronizing the environmental fault tolerance evaluation function to the environmental risk verification layer; Interactively obtaining a validation condition threshold, and configuring the validation condition threshold at an output end of the environmental risk validation layer; The environmental risk identification layer and the environmental risk verification layer are cascaded to obtain an environmental update judgment unit.

4. The multi-environment intelligent control device for explosion-proof circuit breaker according to claim 1, characterized in that: The iterative simulation update module also includes the following execution steps: Interactively obtaining overload protection requirements, wherein the overload protection requirements include adjusting an overload protection threshold, adjusting a short-circuit protection threshold, and adjusting a protection response delay; Constructing an overload protection action space based on the overload protection requirement and the real-time overload protection threshold; The environmental control log of the explosion-proof circuit breaker is called based on the overload protection action space as a constraint to obtain a plurality of historical protection actions, a plurality of historical environmental information, and a plurality of historical load information; Constructing H sub-action trees according to the intersection relationship of the multiple historical protection actions, and mapping and storing the multiple historical environment information and the multiple historical load information into the child nodes of the H sub-action trees; Connecting the H sub-action trees to the root node to obtain a basic decision tree; Calculate multiple first action values ​​of the multiple historical environment information and the real-time environment information based on the Euclidean distance, and calculate multiple second action values ​​of the multiple historical load information and the real-time load information; According to the storage relationship of the sub-nodes in the H sub-action trees of the multiple historical environmental information and the multiple historical load information, after the multiple first action values ​​and the multiple second action values ​​are updated to the basic decision tree, the cumulative value calculation of the sub-nodes in the basic decision tree is performed to obtain a value decision tree.

5. The multi-environment intelligent control device for explosion-proof circuit breaker according to claim 4, characterized in that: The iterative simulation update module includes the following execution steps: Traversing the value decision tree, locating the target child node with the highest cumulative action value, and calling the historical protection action of the target child node as the extended protection action; Performing a network data call based on the extended protection action and the overload protection requirement, and constructing a first update decision tree based on the call result; Similarly, traverse the first updated decision tree, locate the target child node with the highest cumulative action value, and construct the second updated decision tree; Taking the parameter adjustment simulation limit as the simulation constraint, the local expansion of the update decision tree and the iterative simulation update of the protection action are performed until the update protection action is located.

6. A multi-environment intelligent control method for explosion-proof circuit breakers, characterized in that: The method comprises: The environment sensing unit installed on the explosion-proof circuit breaker senses the state of the target application environment of the explosion-proof electrical equipment to obtain real-time environmental information, wherein the explosion-proof circuit breaker is connected in series in the connection circuit between the power supply and the explosion-proof electrical equipment; Acquiring real-time load information of the explosion-proof electrical equipment through a load monitoring unit, wherein the load monitoring unit is pre-installed on the explosion-proof electrical equipment; Interact with the explosion-proof circuit breaker to obtain real-time protection actions; Initializing a root node using the real-time environment information, real-time load information, and real-time protection actions; Predefine parameter adjustment simulation restrictions, use the root node as the protection action expansion constraint, use the parameter adjustment simulation restrictions as the simulation constraint, perform iterative simulation update of the protection action, and locate the updated protection action; The explosion-proof circuit breaker adopts the updated protection action to perform short-term operation protection of the explosion-proof electrical equipment; A monitoring perception interval is preset; the environmental perception unit performs state perception of the target application environment with the monitoring perception interval as a constraint, and when the environmental perception unit outputs the real-time environmental information, the real-time load information is synchronously called from the load monitoring unit according to the real-time perception node of the real-time environmental information; the load monitoring behavior of the load monitoring unit is updated according to the real-time perception node and the monitoring perception interval; the load monitoring unit performs load monitoring on the explosion-proof electrical equipment with the monitoring perception interval as a constraint, and when the load monitoring unit outputs the real-time load information, the real-time load information is synchronously called from the environmental perception unit according to the real-time monitoring node of the real-time load information; the environmental perception behavior of the environmental perception unit is updated according to the real-time monitoring node and the monitoring perception interval; Furthermore, the real-time protection action is composed of a real-time overload protection threshold, a real-time short-circuit protection threshold and a real-time protection response delay.

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