Method and system for supporting cascading function based on electrician cassette

Abstract

The invention relates to the technical field of electrical engineering, in particular to a method and a system for supporting a cascade function based on electrician cassettes, and the method comprises the following steps: monitoring and collecting the voltage and current data of a plurality of electrician cassettes in real time based on a voltage and current sensor, and generating a real-time power data set; according to the invention, by monitoring the voltage and current data of the electrician cassette in real time, power fluctuation is responded in time, equipment damage and operation interruption are reduced, power consumption modes of a plurality of equipment are analyzed, interdependence and power demands between the equipment are identified, power consumption data are combined, an abnormal power detection threshold value is optimized, and power fluctuation is identified and responded in real time. Fault equipment is quickly isolated, the response capability to abnormal electric power in an electric power network is improved, the safety and reliability of the electric power network are improved, effective isolation of the fault equipment is realized, normal operation of a non-fault area is ensured, and the use efficiency and maintenance cost of electric power resources are optimized.

Description

Technical Field

[0001] The present invention relates to the field of electrical engineering technology, and in particular to a method and system for supporting cascade functions based on an electrical dark box. Background Art

[0002] The field of electrical engineering technology focuses on the generation, transmission, distribution and application of electricity, including circuit design, power systems, automation control, and the development and optimization of electronic equipment. It is applied to data processing, communications, industrial automation, power transmission, and power control. It improves equipment functionality and efficiency through the use of a variety of technologies and software, designs safe and reliable power equipment and systems, ensures the stable operation of power systems in commercial, industrial, and residential environments, and combines renewable energy and smart grids to meet the needs of energy and environmental sustainability.

[0003] Among them, the method based on the cascading function supported by electrical junction boxes realizes efficient interconnection and centralized control of multiple electrical junction boxes through cascade connection. By creating a control network between multiple junction boxes in the target area, multiple devices in the junction box network are managed, the adaptability and response speed of the power system are improved, and power management is made more flexible and safe. It can monitor and control lighting and power equipment in multiple areas from a central location, improve energy efficiency and reduce maintenance costs. It is applied to large office buildings, industrial facilities and residential areas to improve the accuracy of power distribution.

[0004] The traditional electrical box cascade method is insufficient in power management and control, and performs poorly in real-time data processing and rapid fault response. It relies on preset control schemes and manual intervention, and is difficult to meet efficiency and response speed requirements in rapidly changing scenarios, resulting in fault propagation, increased system instability and safety hazards. It lacks flexibility in power distribution optimization and is difficult to dynamically adjust according to real-time power consumption, resulting in poor energy efficiency and increased operating costs. The fault handling mechanism lacks real-time data analysis, resulting in insufficient rapid fault location and isolation, affecting the performance and reliability of the power system. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings in the prior art and to propose a method and system based on an electrical dark box supporting a cascade function.

[0006] In order to achieve the above object, the present invention adopts the following technical solution, based on the method of supporting the cascade function of the electrical box, comprising the following steps: S1: Based on voltage and current sensors, the voltage and current data of multiple electrical boxes are monitored and collected in real time to generate real-time power data sets; S2: Based on the real-time power data set, analyzing power consumption characteristics of various types of equipment, evaluating power usage patterns of various types of equipment, and generating power usage pattern information; S3: According to the power usage pattern information, by analyzing the input-output relationship between the devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control path between the dark boxes, and generating a control path optimization result; S4: Based on the control path optimization result and in combination with the power usage patterns of multiple devices in the dark box control network, abnormal power detection thresholds are set for multiple electrical dark boxes to generate abnormal detection threshold parameters; S5: According to the abnormal detection threshold parameter, real-time monitoring of power fluctuations, responding to detected abnormal voltage and current, controlling the opening and closing of the electrical box, isolating faulty and abnormal equipment, and generating a fault isolation record; S6: Based on the fault isolation record, adjust the cascade control path between the electrical boxes to match the actual power demand, optimize the use of power resources, and generate a box cascade control network.

[0007] As a further solution of the present invention, the real-time power data set includes the voltage value of the electrical box, the current value of the electrical box, and the data collection time; the power usage mode information includes the average energy consumption data of the equipment, the equipment type information, and the peak and valley load operation period information of the equipment; the control path optimization results include the connection sequence adjustment results, the control path configuration adjustment information, and the box control priority list; the abnormal detection threshold parameters include the voltage detection threshold, the current abnormal range, and the abnormal response time; the fault isolation record includes the equipment isolation identification record, the fault time information, and the fault handling record; the box cascade control network includes the cascade path adjustment results, the power network structure, and the box function positioning information.

[0008] As a further solution of the present invention, based on voltage and current sensors, the voltage and current data of multiple electrical boxes are monitored and collected in real time, and the steps of generating a real-time power data set are specifically as follows: S101: Based on the voltage and current sensors, current and voltage data of multiple electrical boxes are collected and recorded in real time to obtain power monitoring records; S102: Based on the power monitoring record, analyze the current and voltage data, identify abnormal values ​​and missing values, adjust the data format, and generate a data processing result; S103: Based on the data processing result, the time information of the multiple voltage and current data and the position information of the electrical box are recorded, and the average value and peak value of the current and voltage of the multiple electrical boxes are calculated to obtain a real-time power data set.

[0009] As a further solution of the present invention, based on the real-time power data set, the power consumption characteristics of various types of equipment are analyzed, the power usage patterns of various types of equipment are evaluated, and the steps of generating power usage pattern information are specifically as follows: S201: Analyze the current and voltage usage patterns of various devices according to the real-time power data set, including the peak and valley power usage patterns, and generate power consumption characteristic information; S202: Based on the power consumption characteristic information, analyzing the energy consumption data of various types of equipment, evaluating the energy consumption requirements of various power equipment, and obtaining equipment energy consumption analysis records; S203: Evaluate the energy consumption patterns of various devices according to the device energy consumption analysis records, including the time periods of peak and valley energy consumption and the average load, and generate power usage pattern information.

[0010] As a further solution of the present invention, according to the power usage pattern information, by analyzing the input-output relationship between the devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control path between the dark boxes, the steps of generating the control path optimization result are specifically as follows: S301: Analyze the operating power consumption of multiple devices based on the power usage mode information, identify energy consumption levels of multiple devices, and generate power consumption level identification results; S302: According to the power consumption level identification result, by analyzing the input-output relationship of multiple devices, evaluating the operation dependency between devices, adjusting the power supply priority of the devices, and generating a device dependency graph; S303: According to the device dependency graph, the power network structure is adjusted, the control path of the electrical box is optimized, and a control path optimization result is generated.

[0011] As a further solution of the present invention, based on the control path optimization result, combined with the power usage mode of multiple devices in the box control network, abnormal power detection thresholds are set for multiple electrical boxes, and the steps of generating abnormal detection threshold parameters are specifically as follows: S401: Analyze the functional roles of multiple electrical boxes in the power network, including a main controller and an auxiliary controller, according to the control path optimization result, and generate electrical box functional information; S402: Based on the electrical box function information and the devices controlled by the electrical box in the power network, analyzing the current and voltage fluctuation ranges of multiple electrical boxes to generate fluctuation range information; S403: Based on the fluctuation range information, a Monte Carlo simulation method is used to analyze the current and voltage detection thresholds required by multiple electrical boxes according to the peak and valley values ​​of power consumption and usage time of multiple devices, combined with actual operating requirements and environmental conditions, and generate abnormal detection threshold parameters.

[0012] As a further solution of the present invention, the Monte Carlo simulation method is according to the formula: ; Calculate the current and voltage detection thresholds, where: For electrical box The current and voltage thresholds, is the average power consumption of the device, is the standard deviation of consumption, is a random variable that conforms to the standard normal distribution, is the weight coefficient used to adjust the impact of the ratio of environmental factors to equipment age, is the weight coefficient used to adjust the square root of the product of the load factor and the time factor, is the environmental parameter, The service life of the equipment, is the load ratio of the equipment, is the relative difference from the peak usage time, It is the serial number of the electrical junction box.

[0013] As a further solution of the present invention, according to the abnormal detection threshold parameter, the power fluctuation is monitored in real time, the abnormal voltage and current detected are responded to, the opening and closing of the electrician's dark box is controlled, the fault and abnormal equipment are isolated, and the steps of generating the fault isolation record are specifically as follows: S501: According to the abnormality detection threshold parameter, monitor the current and voltage data in real time, compare with the abnormality detection threshold parameter, identify and record the voltage and current data exceeding the threshold, and generate abnormal power data record; S502: responding to abnormal current and voltage data based on the abnormal power data record, including triggering a circuit breaker to cut off abnormal power and generating an abnormal data response result; S503: Based on the abnormal data response result, record the location of the electrical box where the power is cut off and the time of the power cut off, and generate a fault isolation record.

[0014] As a further solution of the present invention, based on the fault isolation record, the cascade control path between the electrical boxes is adjusted to match the actual power demand, the use of power resources is optimized, and the steps of generating the box cascade control network are specifically as follows: S601: Based on the fault isolation record, analyze the occurrence time and location of multiple fault events, identify the mode and frequency of fault occurrence, evaluate network reconstruction requirements, and generate fault impact assessment results; S602: According to the fault impact assessment result, identify key nodes and weak links of connection, adjust the connection path and power flow between electrical boxes to optimize power supply stability, and generate control path adjustment data; S603: Based on the control path adjustment data, adjust the cascade control path and node connection logic of the electrical box, optimize power distribution and usage efficiency, and generate a box cascade control network.

[0015] A system based on an electrician's dark box supporting a cascade function, the system based on an electrician's dark box supporting a cascade function is used to execute the above-mentioned method based on an electrician's dark box supporting a cascade function, the system comprising: The power information recording module is based on voltage and current sensors, which detects and records the current and voltage data of multiple electrical boxes in real time, including time and location information, and generates real-time power monitoring records; The device energy consumption analysis module analyzes the energy consumption patterns of various devices based on the real-time power monitoring records, evaluates the average energy consumption and peak demand of various devices, and generates device power consumption characteristic data; The abnormal threshold setting module uses the power consumption characteristic data of the device to analyze the input-output relationship between multiple devices, adjust the connection logic between the dark boxes, set abnormal current and voltage detection thresholds for multiple electrical dark boxes, and generate threshold configuration results; The power fault response module monitors and analyzes power fluctuations in real time according to the threshold configuration result, performs circuit breaking and closing for abnormal voltage and current exceeding the threshold through the electrician dark box, isolates faulty and abnormal equipment, and generates an electrician dark box response record; The control path optimization module analyzes the response record of the electrical darkbox, adjusts the cascade control path between the electrical darkboxes, optimizes the efficiency of power resource use by calculating the adjusted network load and power demand match, and generates a darkbox cascade control network.

[0016] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by real-time monitoring of the voltage and current data of the electrical box, timely response to power fluctuations, reduction of equipment damage and operation interruption, analysis of the power consumption patterns of various devices, identification of the interdependence and power demand between devices, and combination of power consumption data, optimization of abnormal power detection thresholds, real-time identification and response to power fluctuations, rapid isolation of faulty equipment, improvement of the ability to respond to abnormal power in the power network, improvement of the safety and reliability of the power network, effective isolation of faulty equipment, ensuring normal operation of non-faulty areas, and optimization of the use efficiency and maintenance costs of power resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the workflow of the present invention; Figure 2 This is a detailed flow chart of S1 of the present invention; Figure 3 This is a detailed flow chart of S2 of the present invention; Figure 4This is a detailed flow chart of S3 of the present invention; Figure 5 This is a detailed flow chart of S4 of the present invention; Figure 6 This is a detailed flow chart of S5 of the present invention; Figure 7 This is a detailed flow chart of S6 of the present invention; Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, "multiple" means two or more, unless otherwise clearly and specifically defined.

[0020] Example See also Figure 1 The present invention provides a technical solution, based on a method for supporting a cascade function of an electrical box, comprising the following steps: S1: Based on voltage and current sensors, the voltage and current data of multiple electrical boxes are monitored and collected in real time to generate real-time power data sets; S2: Based on the real-time power data set, analyze the power consumption characteristics of various types of equipment, evaluate the power usage patterns of various devices, and generate power usage pattern information; S3: Based on the power usage pattern information, by analyzing the input-output relationship between devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control path between the dark boxes, and generating the control path optimization result; S4: Based on the control path optimization result and in combination with the power usage patterns of multiple devices in the dark box control network, abnormal power detection thresholds are set for multiple electrical dark boxes to generate abnormal detection threshold parameters; S5: Based on the abnormal detection threshold parameters, real-time monitoring of power fluctuations, responding to detected abnormal voltage and current, controlling the opening and closing of the electrical box, isolating faulty and abnormal equipment, and generating fault isolation records; S6: Based on the fault isolation record, adjust the cascade control path between the electrical boxes to match the actual power demand, optimize the use of power resources, and generate a box cascade control network.

[0021] The real-time power data set includes the voltage value of the electrical switchboard, the current value of the electrical switchboard, and the data collection time. The power usage mode information includes the average energy consumption data of the equipment, the equipment type information, and the peak and valley load operation period information of the equipment. The control path optimization results include the connection sequence adjustment results, the control path configuration adjustment information, and the switchboard control priority list. The anomaly detection threshold parameters include the voltage detection threshold, the current anomaly range, and the anomaly response time. The fault isolation record includes the equipment isolation identification record, the fault time information, and the fault handling record. The switchboard cascade control network includes the cascade path adjustment results, the power network structure, and the switchboard function positioning information.

[0022] See also Figure 2 ,Based on the voltage and current sensors, the voltage and current data of multiple electrical boxes are monitored and collected in real time. The steps to generate a real-time power data set are as follows: S101: Based on the voltage and current sensors, the current and voltage data of multiple electrical boxes are collected and recorded in real time to obtain the power monitoring records. In sub-step S101, based on the voltage and current sensors, the current and voltage data of multiple electrical boxes are collected and recorded in real time, the average current and voltage of each electrical box per minute is calculated, the data within each minute is continuously monitored, and the real-time data clustering algorithm is used to classify the fluctuations of current and voltage, identify equipment failures and load surges, ensure the accuracy and reliability of the data, and calculate the real-time power consumption and the expected energy consumption trend by comparing the deviation between the real-time data and the historical data of the same period. The formula is: ,in, is the total power, For the The average current value of an electrical box, is the corresponding average voltage value, The total number of electrical boxes monitored is obtained by the power monitoring record.

[0023] S102: Based on the power monitoring records, the current and voltage data are analyzed, abnormal values ​​and missing values ​​are identified, and the data format is adjusted to generate the data processing results. The specific process is as follows; In sub-step S102, based on the power monitoring records, the current and voltage data are analyzed, and the standard deviation and mean of each data point are determined by applying statistical analysis techniques. The outliers in the current and voltage data are identified and excluded by setting thresholds. The missing data points are supplemented by linear interpolation to ensure the integrity of the data set, and the data format is standardized. The formula is: ,in, is the normalized data point, is the original data point, is the mean, The data is processed to obtain standard deviation, identify outliers and missing values, and adjust the data format to generate data processing results.

[0024] S103: Based on the data processing result, the time information of multiple voltage and current data and the position information of the electrical box are recorded, and the average value and peak value of the current and voltage of multiple electrical boxes are calculated to obtain the real-time power data set. In sub-step S103, based on the data processing results, the time information of multiple voltage and current data and the position information of the electrical dark box are recorded, and the time series analysis method is used to perform time window smoothing on the current and voltage data, and the current and voltage average values ​​and peak values ​​of each electrical dark box in multiple time periods are calculated. The formula is: ,in, is the average power data within the time period, and The current and voltage at time The average value of The length of the statistical time period is used to obtain the real-time power data set.

[0025] See also Figure 3 ,Based on the real-time power data set, the power consumption characteristics of various types of equipment are analyzed, the power usage patterns of various equipment are evaluated, and the steps of generating power usage pattern information are as follows: S201: Analyzing the current and voltage usage patterns of various devices, including the peak and valley patterns of power consumption, based on the real-time power data set, and generating power consumption characteristic information in detail; In sub-step S201, based on the real-time power data set, the current and voltage usage patterns of various devices are analyzed, including the peak and valley patterns of power consumption, and the current of electrical equipment is extracted from the power data set. and voltage Read the data, perform time series analysis on the data to determine the peak and valley patterns, calculate the average current and voltage of multiple devices in different time periods, and use a linear regression model to model the power consumption behavior of the device. The model formula is ,in, represents the predicted electricity consumption, is the time variable, is the intercept, indicating the basic electricity consumption, It is a time coefficient that indicates the trend of power consumption over time, predicts the power consumption of multiple devices, and generates power consumption characteristic information.

[0026] S202: Based on the power consumption characteristic information, analyzing the energy consumption data of various types of equipment, evaluating the energy consumption requirements of various power equipment, and obtaining the equipment energy consumption analysis record. The specific process is as follows; In sub-step S202, based on the power consumption characteristic information, the power usage data of each device type is integrated, and by comparing the average energy consumption of multiple devices, devices with high energy efficiency and devices that need to be optimized are identified. The devices are divided into several energy consumption level groups through cluster analysis, and the energy consumption patterns and operating efficiency of multiple groups of devices are analyzed to evaluate the overall energy consumption requirements of the devices. The formula is ,in, is the average energy consumption of the equipment, For the The power of the device, Run time for the target device, is the number of equipment types, and the equipment energy consumption analysis records are obtained.

[0027] S203: According to the equipment energy consumption analysis records, the energy consumption patterns of various equipment are evaluated, including the time periods of peak and valley energy consumption and the average load, and the process of generating the power usage pattern information is as follows; In sub-step S203, the energy consumption pattern of each device is analyzed according to the device energy consumption analysis record, including evaluating the energy consumption peaks and valleys of the device in differentiated time periods, smoothing the energy consumption time series using the sliding average method, identifying the exact time of energy consumption peaks and valleys, and calculating the average load and change trend of the device, providing a basis for energy consumption management and optimization of the device. The formula is ,in, Indicates the average load of the device. It's time The load value, is the total length of time considered to generate power usage pattern information.

[0028] See also Figure 4 ,According to the information of power usage pattern, by analyzing the input-output relationship between devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control path between the dark boxes, the steps of generating the control path optimization result are as follows: S301: Based on the power usage pattern information, analyzing the operating power consumption of multiple devices, identifying the energy consumption levels of multiple devices, and generating the power consumption level identification result, the specific process is as follows; In sub-step S301, based on the power usage pattern information, the daily operation power consumption data of multiple devices are summarized and analyzed. By establishing a power consumption analysis model, the devices are classified according to the average power consumption and operation efficiency, and the energy consumption levels of multiple devices are determined. The power consumption of each device is multiplied by the device efficiency parameter to evaluate its energy efficiency ratio. The devices are classified according to the set energy efficiency ratio threshold. The formula is: ,in, Indicates the energy consumption level of the device. is the average power consumption of the device, It is the efficiency coefficient of the device, identifies the energy consumption levels of multiple devices, and generates power consumption level identification results.

[0029] S302: According to the power consumption level identification result, by analyzing the input-output relationship of multiple devices, evaluating the operation dependency between devices, adjusting the power supply priority of the devices, and generating the device dependency graph, the specific process is as follows; In sub-step S302, based on the power consumption level identification results, the input-output relationship of multiple devices is analyzed, the operation dependency between devices is evaluated, and the energy flow and interaction between devices are analyzed by building a device operation network model, key devices and secondary devices are determined, and the dependency relationship between devices is revealed by applying graph theory algorithms. The priority of device power supply is adjusted. The formula is: ,in, Indicates the device About equipment The strength of dependence, Yes Equipment For intermediate nodes The weight of Is an intermediate node About equipment The responsiveness, is the total number of intermediate nodes, generating the device dependency graph.

[0030] S303: According to the device dependency diagram, the power network structure is adjusted, the control path of the electrical box is optimized, and the process of generating the control path optimization result is specifically as follows; In sub-step S303, according to the device dependency diagram, the power network structure is adjusted, the control path of the electrical box is optimized, the energy consumption load and time correlation between the devices are analyzed, the efficiency of energy consumption transmission between the devices is quantitatively analyzed, the path optimization algorithm is implemented to determine the optimal way of power distribution, the energy consumption load relationship between the devices is analyzed, the transmission efficiency and loss of each path are calculated, and the optimal path strategy is formulated by dynamic programming method. The formula is: ,in, represents the total optimization cost of the control path, It is The energy transmission efficiency of each path, is the energy consumption difference on the target path, Is the path The loss rate, It is the cost coefficient associated with loss, optimizes the power network structure, reduces energy loss, improves overall energy efficiency, and generates control path optimization results.

[0031] See also Figure 5 , based on the control path optimization results, combined with the power usage patterns of multiple devices in the dark box control network, abnormal power detection thresholds are set for multiple electrical dark boxes. The steps for generating abnormal detection threshold parameters are as follows: S401: Analyze the functional roles of multiple electrical boxes in the power network, including the main controller and the auxiliary controller, according to the control path optimization result, and generate the functional information of the electrical boxes in the following steps; In sub-step S401, according to the control path optimization results, the functional role of each electrical box in the power network is analyzed. By integrating the analysis of data flow and control signals, the role of the electrical box and its interaction and influence in the network are determined. The data transmission volume and control command execution frequency of each box are evaluated, and the role is determined according to the centrality and influence in the network. The formula is: ,in, Represents an electrical box The role index, It's a dark box The control frequency, is the data flow in the network, and It is an adjustment factor used to balance the influence of control frequency and data flow and generate electrical box function information.

[0032] S402: Based on the function information of the electrical box and the devices controlled by the electrical box in the power network, the current and voltage fluctuation ranges of multiple electrical boxes are analyzed, and the specific process of generating the fluctuation range information is as follows; In sub-step S402, based on the functional information of the electrical darkbox, the current and voltage fluctuation range of the equipment controlled by each darkbox is analyzed. By collecting and processing the current and voltage records of the controlled equipment under differentiated operating conditions, the fluctuation range of the current and voltage is determined using statistical analysis. The fluctuation analysis algorithm is applied to process the data to determine the stable operating conditions and fluctuation anomalies of each device. The formula is: ,in, Indicates the device The voltage fluctuation range, Yes Equipment Voltage data set during operation, Represents standard deviation calculation, which is used to measure the size of fluctuations and generate fluctuation range information.

[0033] S403: Based on the fluctuation range information, the Monte Carlo simulation method is used to analyze the current and voltage detection thresholds required by multiple electrical boxes according to the peak and valley values ​​of power consumption and the usage time of multiple devices, combined with actual operation requirements and environmental conditions, and the process of generating abnormal detection threshold parameters is as follows; In sub-step S403, based on the fluctuation range information, the Monte Carlo simulation method is applied to set the current and voltage detection thresholds of the electrical box. By simulating various power consumption scenarios, considering the peak and valley power consumption of the equipment and the actual operating time, the simulation data is adjusted in combination with environmental conditions to obtain a detection threshold that matches the differentiated operating conditions. This is used to determine the safety boundary of the threshold and generate the abnormal detection threshold parameters.

[0034] Monte Carlo simulation method, according to the formula: ; Calculate the current and voltage detection thresholds, where: For electrical box The current and voltage thresholds, The average power consumption of the device, which is used to measure the average energy consumption of the device under standard operating conditions. is the standard deviation of consumption, which is used to indicate the degree of variation of equipment energy consumption. is a random variable that conforms to the standard normal distribution and is used to simulate the natural fluctuation of equipment energy consumption. is the weight coefficient used to adjust the impact of the ratio of environmental factors to equipment age, is the weight coefficient used to adjust the square root of the product of the load factor and the time factor, It is an environmental parameter, indicating the temperature or humidity conditions of the current environment, reflecting the impact of the environment on the operation of the equipment. The service life of the equipment is used to measure the aging degree of the equipment. is the load ratio of the device, which means the ratio of the device’s workload at the target time point to the design load. It is the relative difference from the peak usage time, which is used to indicate the time distance between the calculation time and the peak load of the equipment. It is the serial number of the electrical box, used to distinguish different electrical boxes.

[0035] The specific execution process of the formula is as follows: By collecting the operation data of the equipment, the average power consumption of the equipment is obtained and standard deviation Parameters, monitor the current ambient temperature and humidity to obtain environmental parameters , check the equipment installation record to determine the service life , evaluate the actual load of the device during measurement and the relative difference from peak usage time , using regression analysis to determine the weight coefficient and , the parameter formula is used to calculate the current and voltage detection threshold of each electrical box , used to set the system's abnormal monitoring standards to ensure the stable and safe operation of the power system.

[0036] See also Figure 6 ,According to the abnormal detection threshold parameters, the power fluctuation is monitored in real time, the abnormal voltage and current detected are responded to, the opening and closing of the electrical box is controlled, and the fault and abnormal equipment are isolated. The specific steps of generating the fault isolation record are: S501: According to the abnormal detection threshold parameter, the current and voltage data are monitored in real time, and compared with the abnormal detection threshold parameter, the voltage and current data exceeding the threshold are identified and recorded, and the process of generating abnormal power data record is specifically as follows; In sub-step S501, real-time monitoring of current and voltage data is implemented according to the abnormal detection threshold parameters. The power data of the electrical box is continuously collected by deploying sensors, and the data acquisition system is used for preprocessing and real-time analysis. The collected voltage and current data are compared with the preset abnormal detection threshold. When it is detected that the data exceeds the set threshold, it is recorded as abnormal power data. The voltage and current data exceeding the threshold are identified and recorded, and abnormal power data records are generated.

[0037] S502: Based on the abnormal power data record, respond to the abnormal current and voltage data, including triggering the circuit breaker to cut off the abnormal power, and the process of generating the abnormal data response result is specifically as follows; In sub-step S502, based on the abnormal power data record, respond to the abnormal current and voltage data, including triggering the automatic circuit breaker to cut off the abnormal power to protect the network and equipment from damage. The triggering of the circuit breaker depends on the real-time analysis results of the abnormal data to ensure that it is activated only when it is detected that the threshold is exceeded. The formula is ,in, Represents the number of times the response measure is executed, Indicates abnormal status. is the circuit breaker status, and The numbers of devices and conditions are respectively used to ensure a quick response to abnormal power data and generate abnormal data response results.

[0038] S503: Based on the abnormal data response result, the location and time of the power-off electrical box are recorded, and the specific process of generating the fault isolation record is as follows; In sub-step S503, based on the abnormal data response result, the electrical box location and power outage time of each power outage event are recorded to ensure that all power outage events are recorded and archived, and the power outage data is converted into a structured fault isolation record. The formula is ,in, Representative Location and time records of power outage events, It is the location of the electrical junction box. It is the power outage time and a fault isolation record is generated.

[0039] See also Figure 7 ,Based on the fault isolation record, the cascade control path between the electrical boxes is adjusted to match the actual power demand,,optimizing the use of power resources. The specific steps of generating the cascade control network of the,box are as follows: S601: Based on the fault isolation records, the occurrence time and location of multiple fault events are analyzed, the mode and frequency of the fault occurrence are identified, the network reconstruction requirements are evaluated, and the specific process of generating the fault impact assessment result is as follows; In sub-step S601, based on the fault isolation records, the occurrence time and location of multiple fault events are identified, the time distribution and geographical concentration of faults are evaluated through statistical analysis methods, the pattern and frequency of fault occurrence are identified, including calculating the clustering coefficient of fault interval time and location, determining the area and time of fault concentration, evaluating the reconstruction requirements of the network, and predicting the fault point. The formula is ,in, A quantitative indicator representing the failure mode, It is The frequency of failures, is the impact weight of the target failure, is the total number of faults analyzed to generate the fault impact assessment results.

[0040] S602: According to the fault impact assessment results, identify the key nodes and weak links of the connection, adjust the connection path and power flow between the electrical boxes to optimize the power supply stability, and generate the control path adjustment data. The specific process is as follows; In sub-step S602, based on the fault impact assessment results, identify the weak links of key nodes and connections in the network, identify and evaluate the load bearing capacity and flow distribution of each node and connection through network analysis tools, adjust the connection path and power flow direction between electrical boxes, optimize power supply stability, implement path optimization algorithm, calculate the optimal power flow path and backup path, and reduce the load pressure of key nodes. The formula is ,in, represents the optimized path cost, Is a node To Node The distance Is the path arrive The load factor, and are the number of nodes and paths respectively, generating control path adjustment data.

[0041] S603: Based on the control path adjustment data, the cascade control path and node connection logic of the electrical box are adjusted to optimize power distribution and use efficiency, and the specific process of generating the box cascade control network is as follows; In sub-step S603, based on the control path adjustment data, the cascade control path and node connection logic of the electrical switchboard are adjusted, and the power distribution and utilization efficiency are optimized by reconfiguring the topology of the power network. The network reconstruction algorithm is applied to adjust the cascade connection between the electrical switchboards to ensure the balance and efficiency of power distribution. The formula is: ,in, represents the total control cost of the cascade network, It is The efficiency of the connection, is the energy consumption of the target connection, is the total number of connections, generating the dark box cascade control network.

[0042] See also Figure 8 , a system based on an electrician's dark box supporting a cascade function, the system based on an electrician's dark box supporting a cascade function is used to execute the above-mentioned method based on an electrician's dark box supporting a cascade function, the system comprising: The power information recording module is based on voltage and current sensors, which detects and records the current and voltage data of multiple electrical boxes in real time, including time and location information, and generates real-time power monitoring records; The equipment energy consumption analysis module analyzes the energy consumption patterns of various equipment based on real-time power monitoring records, evaluates the average energy consumption and peak demand of various equipment, and generates equipment power consumption characteristic data; The abnormal threshold setting module uses the equipment power consumption characteristic data to analyze the input and output relationship between multiple devices, adjust the connection logic between the dark boxes, set the abnormal current and voltage detection thresholds for multiple electrical dark boxes, and generate threshold configuration results; The power fault response module monitors and analyzes power fluctuations in real time based on the threshold configuration results, performs circuit breaking and closing for abnormal voltage and current exceeding the threshold through the electrical dark box, isolates faulty and abnormal equipment, and generates electrical dark box response records; The control path optimization module analyzes the response records of the electrical switchboards, adjusts the cascade control paths between the electrical switchboards, optimizes the efficiency of power resource use by calculating the adjusted network load and power demand match, and generates a switchboard cascade control network.

[0043] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method based on an electrical box supporting a cascade function, characterized in that: The following steps are involved: Based on voltage and current sensors, the voltage and current data of multiple electrical boxes are monitored and collected in real time to generate real-time power data sets; Based on the real-time power data set, analyzing power consumption characteristics of various types of equipment, evaluating power usage patterns of various types of equipment, and generating power usage pattern information; According to the power usage pattern information, by analyzing the input-output relationship between the devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control path between the dark boxes, and generating a control path optimization result; Based on the control path optimization result, combined with the power usage patterns of multiple devices in the dark box control network, abnormal power detection thresholds are set for multiple electrical dark boxes to generate abnormal detection threshold parameters; According to the abnormal detection threshold parameters, real-time monitoring of power fluctuations, responding to detected abnormal voltages and currents, controlling the opening and closing of the electrical box, isolating faulty and abnormal equipment, and generating fault isolation records; Based on the fault isolation record, the cascade control path between the electrical boxes is adjusted to match the actual power demand, the use of power resources is optimized, and a box cascade control network is generated.

2. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: The real-time power data set includes the voltage value of the electrical box, the current value of the electrical box, and the data collection time. The power usage mode information includes the average energy consumption data of the equipment, the equipment type information, and the peak and valley load operation period information of the equipment. The control path optimization results include the connection sequence adjustment results, the control path configuration adjustment information, and the box control priority list. The abnormal detection threshold parameters include the voltage detection threshold, the current abnormal range, and the abnormal response time. The fault isolation record includes the equipment isolation identification record, the fault time information, and the fault handling record. The box cascade control network includes the cascade path adjustment results, the power network structure, and the box function positioning information.

3. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: Based on voltage and current sensors, the voltage and current data of multiple electrical boxes are monitored and collected in real time. The specific steps for generating real-time power data sets are as follows: Based on voltage and current sensors, the current and voltage data of multiple electrical boxes are collected and recorded in real time to obtain power monitoring records; Based on the power monitoring records, current and voltage data are analyzed to identify abnormal values ​​and missing values, and data formats are adjusted to generate data processing results; Based on the data processing results, the time information of multiple voltage and current data and the position information of the electrical darkbox are recorded, and the average values ​​and peak values ​​of the current and voltage of multiple electrical darkboxes are calculated to obtain a real-time power data set.

4. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: Based on the real-time power data set, the steps of analyzing the power consumption characteristics of various types of equipment, evaluating the power usage patterns of various types of equipment, and generating power usage pattern information are specifically as follows: Analyzing the current and voltage usage patterns of various devices, including peak and valley power usage patterns, based on the real-time power data set, to generate power consumption characteristic information; Based on the power consumption characteristic information, analyzing the energy consumption data of various types of equipment, evaluating the energy consumption requirements of various power equipment, and obtaining equipment energy consumption analysis records; Based on the equipment energy consumption analysis records, the energy consumption patterns of various equipment are evaluated, including the time periods of peak and valley energy consumption and the average load, to generate power usage pattern information.

5. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: According to the power usage pattern information, by analyzing the input-output relationship between devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control path between the dark boxes, and generating the control path optimization result, the specific steps are: Based on the power usage pattern information, analyzing the operating power consumption of multiple devices, identifying the energy consumption levels of multiple devices, and generating power consumption level identification results; According to the power consumption level identification result, by analyzing the input-output relationship of multiple devices, evaluating the operation dependency between devices, adjusting the power supply priority of the devices, and generating a device dependency graph; According to the device dependency diagram, the power network structure is adjusted, the control path of the electrical box is optimized, and the control path optimization result is generated.

6. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: Based on the control path optimization result, combined with the power usage patterns of multiple devices in the dark box control network, abnormal power detection thresholds are set for multiple electrical dark boxes. The steps of generating abnormal detection threshold parameters are specifically as follows: Analyzing the functional roles of multiple electrical boxes in the power network, including a main controller and an auxiliary controller, based on the control path optimization result, and generating electrical box functional information; Based on the electrical box function information and according to the devices controlled by the electrical box in the power network, analyzing the current and voltage fluctuation ranges of the plurality of electrical boxes to generate fluctuation range information; Based on the fluctuation range information, the Monte Carlo simulation method is adopted to analyze the current and voltage detection thresholds required by multiple electrical boxes according to the peak and valley values ​​of power consumption and usage time of multiple devices, combined with actual operating requirements and environmental conditions, and generate abnormal detection threshold parameters.

7. The method based on the electrical box supporting cascade function according to claim 6, characterized in that: The Monte Carlo simulation method is based on the formula: ； Calculate the current and voltage detection thresholds, where: For electrical box The current and voltage thresholds, is the average power consumption of the device, is the standard deviation of consumption, is a random variable that conforms to the standard normal distribution, is the weight coefficient used to adjust the impact of the ratio of environmental factors to equipment age, is the weight coefficient used to adjust the square root of the product of the load factor and the time factor, is the environmental parameter, The service life of the equipment, is the load ratio of the equipment, is the relative difference from the peak usage time, It is the serial number of the electrical junction box.

8. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: According to the abnormal detection threshold parameter, the power fluctuation is monitored in real time, the abnormal voltage and current detected are responded to, the opening and closing of the electrical box is controlled, the fault and abnormal equipment are isolated, and the steps of generating the fault isolation record are specifically as follows: According to the abnormal detection threshold parameter, the current and voltage data are monitored in real time, and compared with the abnormal detection threshold parameter, the voltage and current data exceeding the threshold are identified and recorded, and abnormal power data records are generated; Based on the abnormal power data record, respond to the abnormal current and voltage data, including triggering a circuit breaker to cut off the abnormal power and generating an abnormal data response result; Based on the abnormal data response result, the location of the electrical box where the power is cut off and the time of the power cut off are recorded, and a fault isolation record is generated.

9. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: Based on the fault isolation record, the cascade control path between the electrical boxes is adjusted to match the actual power demand, the use of power resources is optimized, and the steps of generating the box cascade control network are as follows: Based on the fault isolation records, analyzing the occurrence time and location of multiple fault events, identifying the mode and frequency of fault occurrence, evaluating network reconstruction requirements, and generating fault impact assessment results; According to the fault impact assessment results, identify key nodes and weak links of connections, adjust the connection paths and power flow between electrical boxes to optimize power supply stability, and generate control path adjustment data; Based on the control path adjustment data, the cascade control path and node connection logic of the electrical box are adjusted to optimize power distribution and usage efficiency, and a box cascade control network is generated.

10. A system based on an electrical box supporting cascade function, characterized in that: According to the method for supporting cascading function based on an electrical box according to any one of claims 1 to 9, the system comprises: The power information recording module is based on voltage and current sensors, which detects and records the current and voltage data of multiple electrical boxes in real time, including time and location information, and generates real-time power monitoring records; The device energy consumption analysis module analyzes the energy consumption patterns of various devices based on the real-time power monitoring records, evaluates the average energy consumption and peak demand of various devices, and generates device power consumption characteristic data; The abnormal threshold setting module uses the power consumption characteristic data of the device to analyze the input-output relationship between multiple devices, adjust the connection logic between the dark boxes, set abnormal current and voltage detection thresholds for multiple electrical dark boxes, and generate threshold configuration results; The power fault response module monitors and analyzes power fluctuations in real time according to the threshold configuration result, performs circuit breaking and closing for abnormal voltage and current exceeding the threshold through the electrician dark box, isolates faulty and abnormal equipment, and generates an electrician dark box response record; The control path optimization module analyzes the response record of the electrical darkbox, adjusts the cascade control path between the electrical darkboxes, optimizes the efficiency of power resource use by calculating the adjusted network load and power demand match, and generates a darkbox cascade control network.

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