Method and system for supporting cascade function based on electrical box

Abstract

The present invention relates to the field of electrical engineering technology, and specifically to a method and system for supporting cascade functions based on electrical cassettes, comprising the following steps: based on voltage and current sensors, real-time monitoring and collection of voltage and current data from multiple electrical cassettes to generate a real-time power data set. In the present invention, by real-time monitoring of the voltage and current data from the electrical cassettes, timely responses to power fluctuations are achieved, equipment damage and operational interruptions are reduced, power consumption patterns of multiple devices are analyzed, interdependencies and power requirements between devices are identified, and combined with power consumption data, abnormal power detection thresholds are optimized, power fluctuations are identified and responded to in real time, faulty equipment is quickly isolated, the ability to respond to abnormal power in the power network is improved, the safety and reliability of the power network are enhanced, the effective isolation of faulty equipment is achieved, the normal operation of non-fault areas is ensured, and the utilization efficiency and maintenance costs of 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 cassette. 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. By using a variety of technologies and software to improve equipment functionality and efficiency, safe and reliable power equipment and systems are designed to ensure the stable operation of power systems in commercial, industrial, and residential environments. In combination with renewable energy and smart grids, it meets the needs of energy and environmental sustainability.

[0003] Among them, the method based on the cascade function supported by electrical boxes realizes efficient interconnection and centralized control of multiple electrical boxes through cascade connection. By creating a control network between multiple boxes in the target area, multiple devices in the 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 realizes monitoring and control of lighting and power equipment in multiple areas from a central location, improves energy efficiency and reduces 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 capabilities, and performs poorly in real-time data processing and rapid fault response. It relies on preset control schemes and manual intervention, and has difficulty meeting efficiency and response speed requirements in rapidly changing scenarios, leading to 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 utilization efficiency and increased operating costs. The lack of real-time data analysis in the fault handling mechanism leads to 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 of the prior art and to propose a method and system based on an electrical box supporting a cascade function.

[0006] In order to achieve the above object, the present invention adopts the following technical solution, which is based on the method of supporting the cascade function of the electrical box, including the following steps:

[0007] S1: Based on voltage and current sensors, it monitors and collects voltage and current data from multiple electrical boxes in real time to generate a real-time power data set.

[0008] S2: Analyze power consumption characteristics of various types of devices based on the real-time power data set, evaluate power usage patterns of the various devices, and generate power usage pattern information;

[0009] S3: Based on 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 paths between the dark boxes, and generating a control path optimization result;

[0010] S4: Based on the control path optimization result and in combination with the power usage patterns of multiple devices in the switchgear control network, abnormal power detection thresholds are set for multiple electrical switchgear to generate abnormal detection threshold parameters;

[0011] S5: Based on the abnormality detection threshold parameters, monitor power fluctuations in real time, respond to detected abnormal voltage and current, control the opening and closing of the electrical box, isolate faulty and abnormal equipment, and generate a fault isolation record;

[0012] 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.

[0013] 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 abnormality detection threshold parameters include the voltage detection threshold, the current abnormality 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.

[0014] As a further solution of the present invention, the steps of real-time monitoring and collecting voltage and current data of multiple electrical boxes based on voltage and current sensors to generate a real-time power data set are as follows:

[0015] 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;

[0016] S102: Analyze the current and voltage data based on the power monitoring records, identify abnormal values ​​and missing values, adjust the data format, and generate data processing results;

[0017] S103: Based on the data processing result, the time information of the plurality of voltage and current data and the position information of the electrical switch box are recorded, and the average value and peak value of the current and voltage of the plurality of electrical switch boxes are calculated to obtain a real-time power data set.

[0018] As a further embodiment of the present invention, based on the real-time power data set, the power consumption characteristics of various types of devices are analyzed, the power usage patterns of the various devices are evaluated, and the steps of generating power usage pattern information are specifically as follows:

[0019] S201: Analyzing 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;

[0020] S202: Analyzing energy consumption data of various types of equipment based on the power consumption characteristic information, evaluating energy consumption requirements of various power equipment, and obtaining equipment energy consumption analysis records;

[0021] S203: Evaluate the energy consumption patterns of multiple 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.

[0022] As a further embodiment of the present invention, based on the power usage pattern information, the interdependence of multiple power devices is evaluated by analyzing the input and output relationships between the devices, optimizing the power distribution scheme and the control paths between the dark boxes, and generating the control path optimization results are specifically as follows:

[0023] S301: Analyze the operating power consumption of multiple devices based on the power usage pattern information, identify energy consumption levels of the multiple devices, and generate a power consumption level identification result;

[0024] S302: Based on the power consumption level identification result, by analyzing the input and output relationships of multiple devices, evaluating the operational dependencies between the devices, adjusting the power supply priorities of the devices, and generating a device dependency graph;

[0025] 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.

[0026] As a further solution of the present invention, based on the control path optimization results and in combination with the power usage patterns of multiple devices in the switchgear control network, abnormal power detection thresholds are set for multiple electrical switchgear. The steps of generating abnormal detection threshold parameters are specifically as follows:

[0027] S401: Analyze 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 generate electrical box functional information;

[0028] S402: Based on the electrical box function information and the devices controlled by the electrical boxes in the power network, analyzing the current and voltage fluctuation ranges of the plurality of electrical boxes to generate fluctuation range information;

[0029] 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.

[0030] As a further solution of the present invention, the Monte Carlo simulation method is according to the formula:

[0031] ;

[0032] 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 follows a 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 influence of the square root of the product of load factor and 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 box.

[0033] As a further solution of the present invention, the steps of monitoring power fluctuations in real time based on the abnormality detection threshold parameters, 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 are specifically as follows:

[0034] S501: According to the abnormality detection threshold parameter, monitor the current and voltage data in real time, compare them with the abnormality detection threshold parameter, identify and record the voltage and current data that exceeds the threshold, and generate abnormal power data records;

[0035] 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;

[0036] 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.

[0037] 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, thereby optimizing the use of power resources and generating the box cascade control network. Specifically, the steps are as follows:

[0038] S601: Based on the fault isolation records, analyze the occurrence time and location of multiple fault events, identify the mode and frequency of fault occurrence, evaluate network reconstruction requirements, and generate a fault impact assessment result;

[0039] S602: Based on the fault impact assessment results, identify key nodes and weak links in the connection, adjust the connection paths and power flow between electrical boxes to optimize power supply stability, and generate control path adjustment data;

[0040] S603: Based on the control path adjustment data, adjust the cascade control path and node connection logic of the electrical junction box, optimize power distribution and usage efficiency, and generate a junction box cascade control network.

[0041] A system based on an electrical cassette supporting a cascade function, wherein the system based on an electrical cassette supporting a cascade function is used to execute the above-mentioned method based on an electrical cassette supporting a cascade function, the system comprising:

[0042] 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;

[0043] 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 the various devices, and generates device power consumption characteristic data;

[0044] The abnormal threshold setting module uses the power consumption characteristic data of the device to analyze the input and 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;

[0045] 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 voltages and currents exceeding the thresholds through the electrical box, isolates faulty and abnormal equipment, and generates an electrical box response record;

[0046] The control path optimization module analyzes the response records of the electrical box, adjusts the cascade control path between the electrical boxes, optimizes the efficiency of power resource use by calculating the adjusted network load and power demand, and generates a box cascade control network.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, by real-time monitoring of the voltage and current data of the electrical box, timely response to power fluctuations, reducing equipment damage and operation interruptions, analyzing the power consumption patterns of multiple devices, identifying the interdependence and power demand between devices, combining power consumption data, optimizing abnormal power detection thresholds, real-time identification and response to power fluctuations, rapid isolation of faulty equipment, improving the response capability to abnormal power in the power network, enhancing the safety and reliability of the power network, achieving effective isolation of faulty equipment, ensuring normal operation of non-fault areas, and optimizing the utilization efficiency and maintenance costs of power resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a schematic diagram of the workflow of the present invention;

[0050] Figure 2 This is a detailed flow chart of S1 of the present invention;

[0051] Figure 3 This is a detailed flow chart of S2 of the present invention;

[0052] Figure 4 This is a detailed flow chart of S3 of the present invention;

[0053] Figure 5 This is a detailed flow chart of S4 of the present invention;

[0054] Figure 6 This is a detailed flow chart of S5 of the present invention;

[0055] Figure 7 This is a detailed flow chart of S6 of the present invention;

[0056] Figure 8 It is a system flow chart of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to 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.

[0058] 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, indicating positions or relationships, are based on the positions or relationships shown in the accompanying drawings and are intended only to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, in the description of the present invention, "plurality" means two or more, unless otherwise expressly and specifically defined.

[0059] Example

[0060] 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:

[0061] S1: Based on voltage and current sensors, it monitors and collects voltage and current data from multiple electrical boxes in real time to generate a real-time power data set.

[0062] S2: Based on real-time power data sets, analyze the power consumption characteristics of various types of equipment, evaluate the power usage patterns of various devices, and generate power usage pattern information;

[0063] S3: Based on the power usage pattern information, the interdependence of multiple power devices is evaluated by analyzing the input and output relationships between the devices, optimizing the power distribution scheme and the control paths between the cassettes, and generating control path optimization results;

[0064] S4: Based on the control path optimization results and combined with the power usage patterns of multiple devices in the switchgear control network, abnormal power detection thresholds are set for multiple electrical switchgear to generate abnormal detection threshold parameters;

[0065] S5: Based on the abnormality detection threshold parameters, it monitors power fluctuations in real time, responds to detected abnormal voltage and current, controls the opening and closing of electrical panels, isolates faulty and abnormal equipment, and generates fault isolation records;

[0066] S6: Based on the fault isolation records, adjust the cascade control path between electrical panels to match the actual power demand, optimize the use of power resources, and generate a panel cascade control network.

[0067] 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 pattern 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.

[0068] See also Figure 2 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 to generate a real-time power data set are as follows:

[0069] 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. The specific process is as follows:

[0070] 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. 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 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 monitored electrical boxes is obtained by the power monitoring record.

[0071] S102: Based on the power monitoring records, analyze the current and voltage data, identify abnormal values ​​and missing values, and adjust the data format to generate the data processing results. The specific process is as follows:

[0072] In sub-step S102, based on the power monitoring records, the current and voltage data are analyzed, and statistical analysis techniques are applied to determine the standard deviation and mean of each data point. 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. The data format is standardized. The formula is: ,in, is the normalized data point, is the original data point, is the mean, Calculate the standard deviation, identify outliers and missing values, adjust the data format, and generate data processing results.

[0073] S103: Based on the data processing results, the time information of the multiple voltage and current data and the position information of the electrical switch box are recorded, and the average and peak values ​​of the current and voltage of the multiple electrical switch boxes are calculated to obtain the real-time power data set.

[0074] 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 box are recorded, and the time series analysis method is used to perform time window smoothing on the current and voltage data. The average and peak values ​​of the current and voltage of each electrical 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.

[0075] See also Figure 3 Based on the real-time power data set, we analyze the power consumption characteristics of various types of equipment, evaluate the power usage patterns of various devices, and generate power usage pattern information in the following steps:

[0076] S201: Analyzing the current and voltage usage patterns of various devices, including peak and valley power usage patterns, based on real-time power data sets to generate power consumption characteristic information.

[0077] 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 devices. The model formula is ,in, represents the predicted electricity consumption, is the time variable, is the intercept, which represents the basic electricity consumption, The time coefficient represents the power consumption trend over time, predicts the power consumption of multiple devices, and generates power consumption characteristic information.

[0078] S202: Based on the power consumption characteristic information, analyze the energy consumption data of various types of equipment, evaluate the energy consumption requirements of various power equipment, and obtain the equipment energy consumption analysis record. The specific process is as follows:

[0079] In sub-step S202, based on the power consumption characteristic information, the power usage data of each device type is integrated. 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. 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.

[0080] S203: Based on the device energy consumption analysis records, the energy consumption patterns of multiple devices are evaluated, including the peak and valley time periods and average loads of energy consumption, and the process of generating power usage pattern information is as follows:

[0081] In sub-step S203, based on the equipment energy consumption analysis records, the energy consumption pattern of each device is analyzed, including evaluating the energy consumption peaks and valleys of the equipment in different 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 equipment, providing a basis for energy consumption management and optimization of the equipment. 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.

[0082] See also Figure 4 Based on the power usage pattern information, the interdependence of multiple power devices is evaluated by analyzing the input and output relationships between devices, optimizing the power distribution scheme and the control paths between the cassettes. The specific steps for generating the control path optimization results are as follows:

[0083] S301: Based on the power usage pattern information, the operating power consumption of multiple devices is analyzed, the energy consumption levels of the multiple devices are identified, and the process of generating the power consumption level identification result is specifically as follows;

[0084] In sub-step S301, based on the power usage pattern information, the daily operating 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 operating 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.

[0085] S302: Based on the power consumption level identification result, the input and output relationships of multiple devices are analyzed, the operation dependencies between the devices are evaluated, and the power supply priorities of the devices are adjusted to generate a device dependency graph.

[0086] In sub-step S302, based on the power consumption level identification results, the input and output relationships of multiple devices are analyzed, the operational dependencies between devices are evaluated, and by building a device operation network model, the energy flow and interaction between devices are analyzed, key devices and secondary devices are identified, and graph theory algorithms are applied to reveal the dependencies between devices and adjust the priority of device power supply. The formula is: ,in, Representation device For equipment The strength of dependence, It is a device For intermediate nodes The weight of Is an intermediate node For equipment The responsiveness, is the total number of intermediate nodes, generating the device dependency graph.

[0087] S303: 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.

[0088] 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 path for 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 using the 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.

[0089] See also Figure 5 Based on the control path optimization results and combined with the power usage patterns of multiple devices in the switchgear control network, abnormal power detection thresholds are set for multiple electrical switchgear. The specific steps for generating abnormal detection threshold parameters are as follows:

[0090] S401: Analyze the functional roles of multiple electrical boxes in the power network, including the main controller and the auxiliary controller, based on the control path optimization results, and generate the functional information of the electrical boxes.

[0091] In sub-step S401, based on 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 based on the centrality and influence in the network. The formula is: ,in, Represents electrical box The role index, It's a dark box The control frequency, is the data traffic 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.

[0092] S402: Based on the electrical box function information and the devices controlled by the electrical box in the power network, the current and voltage fluctuation ranges of multiple electrical boxes are analyzed to generate the fluctuation range information. Specifically, the process is as follows:

[0093] In sub-step S402, based on the functional information of the electrical box, the current and voltage fluctuation range of the equipment controlled by each box 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 the data to determine the stable operating conditions and fluctuation anomalies of each device. The formula is: ,in, Representation device The voltage fluctuation range, It is a device Voltage dataset during operation, Indicates standard deviation calculation, which is used to measure the size of fluctuations and generate fluctuation range information.

[0094] 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. The specific process for generating abnormality detection threshold parameters is as follows:

[0095] 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.

[0096] Monte Carlo simulation method, according to the formula:

[0097] ;

[0098] 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 influence of the square root of the product of load factor and 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 represents the ratio of the device's workload at the target time point to its 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.

[0099] The specific execution process of the formula is as follows:

[0100] Obtain the average power consumption of the device by collecting the device's operating data 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.

[0101] 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, and the opening and closing of the electrical,box is controlled to isolate the fault and abnormal equipment.,The specific steps of generating the fault isolation record are as follows:

[0102] S501: According to the abnormality detection threshold parameter, the current and voltage data are monitored in real time, and compared with the abnormality detection threshold parameter, and the voltage and current data exceeding the threshold are identified and recorded, and the abnormal power data record is generated. The specific process is as follows;

[0103] In sub-step S501, real-time monitoring of current and voltage data is implemented based on the abnormality 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 abnormality detection threshold. When the data is detected to exceed the set threshold, it is recorded as abnormal power data. The voltage and current data exceeding the threshold are identified and recorded to generate abnormal power data records.

[0104] S502: 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 generate the abnormal data response result. The specific process is as follows:

[0105] In sub-step S502, based on the abnormal power data record, a response is made to the abnormal current and voltage data, including triggering an 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 a 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.

[0106] 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:

[0107] In sub-step S503, based on the abnormal data response results, 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, This is the location of the electrical box. It is the power outage time and the fault isolation record is generated.

[0108] See also Figure 7 Based on the fault isolation records, the cascade control path between electrical boxes is adjusted to match the actual power demand and optimize the use of power resources. The specific steps for generating the cascade control network of the electric boxes are as follows:

[0109] S601: Based on the fault isolation records, analyze the occurrence time and location of multiple fault events, identify the fault pattern and frequency, evaluate network reconstruction requirements, and generate fault impact assessment results.

[0110] 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 the time and location of fault intervals, determining the area and time of fault concentration, evaluating the network reconstruction requirements, 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 fault, is the total number of faults analyzed to generate the fault impact assessment results.

[0111] S602: Based on the fault impact assessment results, identify key nodes and weak links in the connection, adjust the connection paths and power flow between electrical boxes to optimize power supply stability, and generate control path adjustment data. The specific process is as follows:

[0112] 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 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 distance, Is the path arrive The load factor, and are the number of nodes and paths, respectively, to generate control path adjustment data.

[0113] S603: Based on the control path adjustment data, the cascade control path and node connection logic of the electrical switchgear are adjusted to optimize power distribution and usage efficiency, and the specific process of generating the switchgear cascade control network is as follows;

[0114] In sub-step S603, based on the control path adjustment data, the cascade control path and node connection logic of the electrical switchgear are adjusted. By reconfiguring the topology of the power network, the power distribution and utilization efficiency are optimized. The network reconstruction algorithm is applied to adjust the cascade connection between the electrical switchgear 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.

[0115] See also Figure 8 , a system based on an electrical box supporting a cascade function, a system based on an electrical box supporting a cascade function is used to execute the above-mentioned method based on an electrical box supporting a cascade function, and the system includes:

[0116] 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;

[0117] The device energy consumption analysis module analyzes the energy consumption patterns of various devices based on real-time power monitoring records, evaluates the average energy consumption and peak demand of various devices, and generates device power consumption characteristic data;

[0118] The abnormal threshold setting module uses the device power consumption characteristic data to analyze the input and output relationship between multiple devices, adjust the connection logic between the switch boxes, set the abnormal current and voltage detection thresholds for multiple electrical switch boxes, and generate the threshold configuration results;

[0119] The power fault response module monitors and analyzes power fluctuations in real time based on threshold configuration results. It uses the electrical panel to disconnect and close circuits for abnormal voltages and currents exceeding the thresholds, isolates faulty and abnormal equipment, and generates electrical panel response records.

[0120] The control path optimization module analyzes the response records of the electrical switchgear, adjusts the cascade control paths between the electrical switchgear, and optimizes the efficiency of power resource utilization by calculating the adjusted network load and power demand, thereby generating a switchgear cascade control network.

[0121] The above are merely preferred embodiments of the present invention and do not limit the present invention in any other form. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention shall still fall within the scope of protection 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; Analyzing power consumption characteristics of various types of devices based on the real-time power data set, evaluating power usage patterns of the various devices, and generating power usage pattern information; Based on the power usage pattern information, by analyzing the input and output relationships between devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control paths between the dark boxes, and generating a control path optimization result; Based on the control path optimization results and in combination with the power usage patterns of multiple devices in the switchgear control network, abnormal power detection thresholds are set for multiple electrical switchgear to generate abnormal detection threshold parameters; Based on the control path optimization results and combined with the power usage patterns of multiple devices in the switchgear control network, abnormal power detection thresholds are set for multiple electrical switchgear. The steps for generating abnormal detection threshold parameters are as follows: Based on the control path optimization results, the role of the electrical box and its interaction and influence in the network are determined by analyzing the integrated data flow and control signals. The data transmission volume and control command execution frequency of each box are evaluated. The role is determined based on the centrality and influence in the network. The functional roles of multiple electrical boxes in the power network, including main controllers and auxiliary controllers, are analyzed to generate 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, 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 anomaly detection threshold parameters; Based on the abnormality 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; The steps of monitoring power fluctuations in real time based on the abnormality detection threshold parameters, 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 are as follows: According to the anomaly detection threshold parameter, sensors are deployed to continuously collect power data from the electrical box, monitor current and voltage data in real time, and compare them with the anomaly detection threshold parameter, identify and record voltage and current data that exceed the threshold, and generate abnormal power data records; 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, record the location of the electrical box that has lost power and the time of the power outage, and generate a fault isolation record; Based on the fault isolation record, the cascade control path between the electrical boxes is adjusted to match the actual power demand, the power resource usage 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 abnormality detection threshold parameters include the voltage detection threshold, the current abnormality 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: Using voltage and current sensors, we monitor and collect voltage and current data from multiple electrical boxes in real time. The steps to generate a real-time power data set 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, analyzing the current and voltage data, identifying abnormal values ​​and missing values, adjusting the data format, and generating data processing results; Based on the data processing results, 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.

4. The method based on the electrical box supporting cascade function according to claim 1, characterized in that: The steps of analyzing the power consumption characteristics of various types of devices based on the real-time power data set, evaluating the power usage patterns of the various devices, and generating power usage pattern information are as follows: Analyzing 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 usage 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: Based on the power usage pattern information, the steps of analyzing the input-output relationship between devices, evaluating the interdependence of multiple power devices, optimizing the power distribution scheme and the control paths between the dark boxes, and generating the control path optimization results are as follows: Analyzing the operating power consumption of multiple devices based on the power usage pattern information, identifying energy consumption levels of the multiple devices, and generating power consumption level identification results; Based on the power consumption level identification result, by analyzing the input and output relationships of multiple devices, evaluating the operational dependencies between the devices, adjusting the power supply priorities 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 a control path optimization result is generated.

6. The method based on the electrical box supporting cascade function according to claim 1, 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 follows a 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 influence of the square root of the product of load factor and 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 box.

7. 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, thereby optimizing the use of power resources and generating the box cascade control network. Specifically, the steps are as follows: Based on the fault isolation records, analyze the time and location of multiple fault events, identify the pattern and frequency of fault occurrence, evaluate network reconstruction requirements, and generate fault impact assessment results; Based on the fault impact assessment results, identify key nodes and weak links in the connection, 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.

8. A system based on an electrical box supporting cascade function, characterized in that: According to any one of claims 1 to 7, the method for supporting cascade functions based on an electrical box 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 the 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 and 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 based on the threshold configuration results, performs circuit breaking and closing for abnormal voltages and currents exceeding the thresholds through the electrical box, isolates faulty and abnormal equipment, and generates an electrical box response record; The control path optimization module analyzes the response records of the electrical box, adjusts the cascade control path between the electrical boxes, optimizes the efficiency of power resource use by calculating the adjusted network load and power demand, and generates a box cascade control network.

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