Safety identification method and device of intelligent power utilization protector, electronic equipment and medium
By acquiring application information and measured power data from power consumption sites, and dynamically matching power equipment, the problem of poor identification performance of smart power protectors in densely populated areas and places with numerous power devices is solved, achieving accurate identification and safety assurance.
Patent Information
- Application Number
- CN202411389960.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-08
- Publication Date
- 2025-01-10
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Existing smart power protection devices have poor identification performance and low security in densely populated areas with many electrical devices, making it difficult to meet the needs of accurate power management.
By acquiring location application information of power consumption sites, the characteristics of power consumption and power equipment are determined. Using measured power data and offset analysis models, power equipment is dynamically matched, and optimization modules are combined to improve identification accuracy.
It enables accurate identification of power consumption locations, improves equipment utilization efficiency, avoids energy waste and safety hazards, promptly detects and handles power failures, and ensures power safety.
Smart Images
Figure CN119298370A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of power systems, and for example, to a method, device, electronic device and medium for safely identifying an intelligent power protector. Background Art
[0002] With the rapid development of smart grid and Internet of Things technologies, the safety and reliability of smart power protectors, as important equipment to ensure power safety, are increasingly valued. By integrating multiple sensors, communication modules and intelligent algorithms, smart power protectors can monitor circuit status in real time, detect and handle electrical faults in a timely manner, and effectively prevent electrical fires and electric shock accidents. However, in practical applications, the safety identification process of smart power protectors still faces many technical challenges.
[0003] In the related technology, current is generally detected to identify high-power electrical appliances or abnormal current fluctuations, and timely measures are taken to prevent accidents such as overload and short circuit. However, the application sites of smart power protectors may have dense personnel and many power equipment, resulting in poor recognition effect and low safety of current recognition methods. Summary of the invention
[0004] The present application aims to provide a method, device, electronic equipment and medium for safely identifying an intelligent power protector.
[0005] According to one aspect of the present application, a method for safely identifying an intelligent power protector is provided, comprising: Obtaining site application information of power consumption sites; According to the site application information, determine the power consumption characteristics of the power consumption site and the power equipment corresponding to the power consumption characteristics; Determine the power consumption deviation characteristics of the power equipment according to the measured power data of the power equipment and the corresponding power consumption characteristics; The electricity consumption identification result is determined based on the electricity consumption deviation characteristics and the measured power data.
[0006] According to some embodiments, determining the power consumption characteristics of the power consumption site and the power equipment corresponding to the power consumption characteristics according to the site application information includes: Determine the basic site information and operation mode of the power consumption site based on the site application information; Determine the electricity consumption characteristics of the electricity consumption sites based on basic site information and operation mode; Determine the site equipment information based on the electricity usage characteristics; Determine the electrical equipment corresponding to the power consumption characteristics based on the site equipment information.
[0007] According to some embodiments, determining the power consumption characteristics of the power consumption site based on the basic site information and the operation mode includes: Determine the load characteristics, key equipment requirements and basic energy efficiency of power consumption sites based on basic site information and operation modes; Determine the electricity consumption characteristics of the power consumption places based on load characteristics, key equipment requirements and basic energy efficiency.
[0008] According to some embodiments, determining the location equipment information based on the electricity usage characteristics includes: According to the characteristics of electricity consumption, determine the total preset electricity load, the corresponding electricity load distribution information, electricity protection requirements, and key equipment requirements; Determine the power distribution equipment information according to the preset total power load and the corresponding power load distribution information; Determine power protection information according to power protection requirements; Determine special equipment information based on key equipment requirements; The power distribution equipment information, power protection information, special equipment information and preset energy-saving requirements are determined as site equipment information.
[0009] According to some embodiments, determining the power usage offset feature of the power equipment according to the measured power data of the power equipment and the corresponding power usage characteristics includes: Determine the data source based on the measured power data; Determine the equipment operation characteristics of power equipment according to the characteristics of power consumption; The data sources and equipment operation characteristics are input into the preset deviation analysis model to determine the characteristics of electricity consumption deviation.
[0010] According to some embodiments, determining a power usage identification result according to the power usage offset feature and the measured power data includes: Perform data fusion on the power consumption offset characteristics and measured power data to determine matching feature data sets; Determine the key features from the matching feature data set according to a preset key feature selection method; Based on the key features, a preset recognition result determining model of a corresponding model type is determined; The power consumption offset characteristics, key characteristics and measured power data are input into a preset identification result determination model to output a determined power consumption identification result.
[0011] According to some embodiments, the method further comprises: Determine the verification value of the power consumption identification result according to the preset historical power consumption identification data and the preset evaluation index; The electricity usage identification results are optimized according to the verification value and the preset optimization method to determine the target identification results.
[0012] According to one aspect of the present application, a safety identification device for an intelligent power protector is provided, comprising: An information acquisition module, used to acquire location application information of a power consumption location; An information analysis module is used to determine the power consumption characteristics of the power consumption site and the power equipment corresponding to the power consumption characteristics according to the site application information; An offset determination module, used to determine the power usage offset characteristics of the power equipment according to the measured power data of the power equipment and the corresponding power usage characteristics; The identification result determination module is used to determine the power consumption identification result according to the power consumption offset characteristics and the measured power data.
[0013] Optionally, the information analysis module is specifically used for: Determine the basic site information and operation mode of the power consumption site based on the site application information; Determine the electricity consumption characteristics of the electricity consumption sites based on basic site information and operation mode; Determine the site equipment information based on the electricity usage characteristics; Determine the electrical equipment corresponding to the power consumption characteristics based on the site equipment information.
[0014] Optionally, the information analysis module is specifically used to determine the power consumption characteristics of the power consumption site according to the basic site information and the operation mode: Determine the load characteristics, key equipment requirements and basic energy efficiency of power consumption sites based on basic site information and operation modes; Determine the electricity consumption characteristics of the power consumption places based on load characteristics, key equipment requirements and basic energy efficiency.
[0015] Optionally, when determining the site equipment information according to the electricity usage characteristics, the information analysis module is specifically used to: According to the characteristics of electricity consumption, determine the total preset electricity load, the corresponding electricity load distribution information, electricity protection requirements, and key equipment requirements; Determine the power distribution equipment information according to the preset total power load and the corresponding power load distribution information; Determine power protection information according to power protection requirements; Determine special equipment information based on key equipment requirements; The power distribution equipment information, power protection information, special equipment information and preset energy-saving requirements are determined as site equipment information.
[0016] Optionally, the offset determination module is specifically used for: Determine the data source based on the measured power data; Determine the equipment operation characteristics of power equipment according to the characteristics of power consumption; The data sources and equipment operation characteristics are input into the preset deviation analysis model to determine the characteristics of electricity consumption deviation.
[0017] Optionally, the recognition result determination module is specifically used for: Perform data fusion on the power consumption offset characteristics and measured power data to determine matching feature data sets; Determine the key features from the matching feature data set according to a preset key feature selection method; Based on the key features, a preset recognition result determining model of a corresponding model type is determined; The power consumption offset characteristics, key characteristics and measured power data are input into a preset identification result determination model to output a determined power consumption identification result.
[0018] Optionally, the safety identification device of the intelligent power protector may further include an optimization module for: Determine the verification value of the power consumption identification result according to the preset historical power consumption identification data and the preset evaluation index; The electricity usage identification results are optimized according to the verification value and the preset optimization method to determine the target identification results.
[0019] According to one aspect of the present application, an electronic device is proposed, which includes: a processor; a memory storing a computer program, and when the computer program is executed by the processor, the processor executes the safety identification method of the smart power protector as described above.
[0020] According to one aspect of the present application, a non-transitory computer-readable medium is provided, on which readable instructions are stored. When the instructions are executed by a processor, the processor executes the safety identification method of the smart power protector as described above.
[0021] It should be understood that the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present application. Beneficial Effects
[0022] By obtaining the application information of the power consumption site, this method can accurately grasp the power demand, operation mode and special environmental requirements of the site. This precise identification provides a solid foundation for the subsequent determination of power consumption characteristics and the selection of suitable power equipment, ensuring the scientificity and rationality of power configuration. Based on the site application information, this method can dynamically analyze and determine the power consumption characteristics, and then match the corresponding power equipment. This dynamic matching mechanism not only improves the efficiency of equipment use, but also avoids energy waste and safety hazards caused by equipment mismatch. By comparing the measured power data of the power equipment with the preset power consumption characteristics, this method can timely discover and identify the power consumption deviation characteristics, and can provide power managers with timely and accurate fault information, which helps to quickly locate and solve the problem and avoid the escalation of the situation. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without exceeding the scope of protection required by the present application.
[0024] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2 A flowchart of a method for safely identifying an intelligent power protector provided in an embodiment of the present application; Figure 3 A block diagram of a safety identification device for an intelligent power protector provided in an embodiment of the present application; Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0025] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this application will be comprehensive and complete and will fully convey the concepts of the example embodiments to those skilled in the art. The same reference numerals in the figures represent the same or similar parts, and thus their repeated description will be omitted.
[0026] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.
[0027] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.
[0028] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.
[0029] It should be understood that although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one component from another component. Therefore, the first component discussed below can be referred to as the second component without departing from the teachings of the concepts of the present application. As used herein, the term "and / or" includes any one of the associated listed items and all combinations of one or more.
[0030] Figure 1 A schematic diagram of an application scenario according to an exemplary embodiment is shown. In a special power consumption place, multiple power equipment can be set. Figure 1 In the application scenario shown, the method of the present application can be applied to a security identification server. The security identification server can receive measured power data of various power equipment in the power consumption site, and analyze it in combination with relevant information of the power consumption site itself to determine the power consumption identification result.
[0031] For specific implementation methods, please refer to the following embodiments.
[0032] Figure 2 This is a flow chart of a method for securely identifying a smart power protector provided in an embodiment of the present application. The method of this embodiment can be applied to a secure identification server. Figure 2 As shown, the method includes: step S200, step S201, step S202 and step S203.
[0033] In step S200, site application information of a power consumption site is obtained.
[0034] In the present application, the location application information can be used to indicate that the power usage location is set at a certain location and has specific uses at different times, and the specific uses may include the flow of people carried, etc.
[0035] According to an example embodiment, the site application information of the power consumption site may be set in advance according to the construction conditions of the power consumption site and the surrounding environment information, so as to be directly acquired.
[0036] In step S201, the power consumption characteristics of the power consumption site and the power equipment corresponding to the power consumption characteristics are determined according to the site application information.
[0037] In this application, power consumption characteristics can be used to represent the power consumption mode or consumption characteristics of the power consumption site, such as the peak and valley time periods of power load, power quality requirements (such as voltage stability, harmonic suppression, etc.), and energy utilization efficiency, etc. Different power equipment may correspond to different power consumption characteristics.
[0038] According to an example embodiment, the site application information may include the power usage characteristics of the power usage site and the power equipment corresponding to the power usage characteristics. Based on this, the power usage characteristics of the power usage site and the power equipment corresponding to the power usage characteristics can be directly obtained from the site application information.
[0039] In step S202, the power consumption offset characteristics of the power equipment are determined according to the measured power data of the power equipment and the corresponding power consumption characteristics.
[0040] In this application, the measured power data may include real-time detected current, voltage, active power, reactive power, power factor, power consumption, etc. The power usage offset feature may be used to indicate the deviation or change feature of the power equipment in actual operation compared with the expected or normal state.
[0041] According to an example embodiment, a feature determination model may be preset, the model having the capability of inputting measured power data of the power device and corresponding power usage characteristics and outputting a power usage deviation feature of the power device.
[0042] In step S203, a power consumption identification result is determined according to the power consumption offset characteristics and the measured power data.
[0043] In this application, the electricity usage identification result can be used to characterize whether there are any hidden dangers in electricity safety.
[0044] According to an example embodiment, different power usage offset features and corresponding power usage identification results under measured power data may be preset and matched directly.
[0045] In some implementations, a power consumption identification result determination model may be pre-set, and the power consumption identification result may be directly output by inputting power consumption offset characteristics and measured power data into the model.
[0046] This application obtains the application information of the electricity consumption site, and the method can accurately grasp the electricity demand, operation mode and special environmental requirements of the site. This precise identification provides a solid foundation for the subsequent determination of electricity consumption characteristics and the selection of suitable power equipment, ensuring the scientificity and rationality of power configuration. Based on the site application information, the method can dynamically analyze and determine the electricity consumption characteristics, and then match the corresponding power equipment. This dynamic matching mechanism not only improves the efficiency of equipment use, but also avoids energy waste and safety hazards caused by equipment mismatch. By comparing the measured power data of the power equipment with the preset power consumption characteristics, the method can timely discover and identify the power consumption deviation characteristics, and can provide power managers with timely and accurate fault information, which helps to quickly locate and solve problems and avoid the escalation of the situation.
[0047] According to some embodiments, the power usage characteristics and power equipment can be determined specifically by determining the basic site information and operation mode of the power usage site based on the site application information; determining the power usage characteristics of the power usage site based on the basic site information and operation mode; determining the site equipment information based on the power usage characteristics; and determining the power equipment corresponding to the power usage characteristics based on the site equipment information.
[0048] In this application, basic venue information may include venue types, such as residential buildings, commercial complexes, industrial parks, hospitals, schools, etc., and may also include functional area divisions, power load types, and expected peak values. Operation modes may include whether there are specific work and rest times (such as schools and office buildings have clear working hours), whether there are seasonal peaks in electricity consumption (such as increased heating demand in winter and cooling demand in summer), and whether there are special electricity demands (such as high-reliability power supply requirements for data centers and laboratories). Venue equipment information may include power distribution equipment, protection equipment, control equipment, special power equipment, and energy-saving equipment.
[0049] According to the example embodiment, basic site information and operation mode can be extracted from site application information. Then, the power consumption characteristics of the power consumption site, such as power demand, power consumption peak, power consumption fluctuation range, etc., can be comprehensively evaluated based on the basic site information and operation mode. These characteristics will directly affect the selection and configuration of power equipment. For example, for a data center that requires 24-hour uninterrupted power supply, its power consumption characteristics will be high stability and high reliability; while for agricultural greenhouses with obvious seasonality, its power consumption characteristics may change with changes in crop growth cycles and climatic conditions. The power consumption characteristics corresponding to different basic site information and operation modes can be pre-set for easy matching.
[0050] Then, the power consumption characteristics can be used as tags to search for the corresponding pre-set site equipment information. Then, the power equipment corresponding to the power consumption characteristics can be extracted from the site equipment information.
[0051] This application can accurately identify the unique electricity consumption characteristics of power consumption sites by deeply analyzing the site application information, including its basic site information and operation mode. The site equipment information is determined according to the electricity consumption characteristics, and the corresponding power equipment is further matched. This process ensures the rational allocation of power resources. By optimizing the selection and layout of power equipment, it is possible to achieve accurate docking of power supply and power demand, improve the efficiency of power resource utilization, and reduce unnecessary energy waste. This technical process fully considers the actual situation and electricity consumption characteristics of the power consumption site, so that power equipment that meets safety standards can be selected. At the same time, through the application of advanced technologies such as intelligent monitoring and control systems, real-time monitoring and fault warning of power equipment can be achieved, potential safety hazards can be discovered and dealt with in a timely manner, and the safe operation of power consumption sites can be guaranteed.
[0052] According to some embodiments, the electricity consumption characteristics are determined through basic site information and operation modes, specifically: based on the basic site information and operation modes, the load characteristics, key equipment requirements and basic energy efficiency of the electricity consumption site are determined; based on the load characteristics, key equipment requirements and basic energy efficiency, the electricity consumption characteristics of the electricity consumption site are determined.
[0053] In this application, load characteristics may include the time distribution of load (such as load changes during the day and night, and the difference in load between weekdays and holidays), the type of load (such as lighting, power, air conditioning, elevators, etc.), and the proportion of each type of load. Key equipment requirements can be used to evaluate the requirements of power supply reliability at power consumption sites and distinguish which areas or equipment require higher reliability guarantees, such as data centers, operating rooms, and important production lines. Basic energy efficiency can be the energy efficiency status of power consumption sites analyzed in combination with local energy policies, electricity price structures, and other factors.
[0054] According to the example embodiment, the load characteristics of the power consumption site can be analyzed based on the basic site information and the operation mode. This includes determining the peak period, valley period, load fluctuation range and possible load mutation points of the load. According to the operation mode, key equipment with special requirements for power supply is identified. These equipment may include high-energy-consuming production equipment, key safety equipment (such as fire protection systems, emergency lighting), information technology equipment that requires continuous and stable power supply, etc. For these key equipment, their rated power, operating time, load rate and other parameters are analyzed to determine their power demand characteristics. The basic energy efficiency level of the power consumption site is evaluated by comprehensively considering factors such as the building materials, thermal insulation performance, lighting and ventilation systems of the basic site. Basic energy efficiency reflects the basic power consumption efficiency of the site without considering special power demand. Through energy efficiency evaluation, potential energy-saving transformation points can be identified to provide direction for improving power efficiency.
[0055] In some implementations, basic site information and operation modes can be input into a preset property determination model to directly output the load characteristics, key equipment requirements, and basic energy efficiency of the power consumption site. Then, the pre-set power consumption characteristics can be searched correspondingly with the load characteristics, key equipment requirements, and basic energy efficiency as labels.
[0056] This application accurately analyzes the load characteristics, key equipment requirements and basic energy efficiency of power consumption sites. This technology can ensure the rational allocation of power resources, avoid the situation of excess or insufficient power, improve the utilization rate of power equipment, reduce resource waste, thereby reducing costs and improving economic benefits. After clarifying the power consumption characteristics of power consumption sites, power management strategies can be formulated more targeted. For example, demand-side management measures are taken for peak load periods, such as adjusting production plans, optimizing equipment operating hours, etc., to balance power supply and demand; for key equipment, special protection measures are taken to ensure its stable operation and reduce the risk of failure. By evaluating basic energy efficiency and identifying energy-saving potential, energy conservation and emission reduction work in power consumption sites can be promoted. Corresponding energy-saving measures can be formulated according to the characteristics of power consumption, such as upgrading high-efficiency energy-saving equipment, optimizing lighting and ventilation systems, implementing intelligent control, etc., to reduce energy consumption and reduce carbon emissions.
[0057] According to some embodiments, determining the site equipment information based on the electricity usage characteristics can specifically include: determining the preset total power load, the corresponding power load distribution information, the power protection requirements, and the key equipment requirements based on the electricity usage characteristics; determining the power distribution equipment information based on the preset total power load and the corresponding power load distribution information; determining the power protection information based on the power protection requirements; determining the special equipment information based on the key equipment requirements; and determining the power distribution equipment information, power protection information, special equipment information, and preset energy-saving requirements as the site equipment information.
[0058] In this application, the power distribution equipment information may be information for determining the required transformer capacity, quantity and arrangement according to the total amount and distribution of power load, selecting appropriate switch cabinets, distribution boxes and other power distribution equipment, ensuring safe and reliable distribution of electric energy, etc. The power protection information may be information for configuring appropriate protection and control equipment, such as circuit breakers, fuses, leakage protectors, overload protectors, etc., to ensure the safe operation of circuits and prevent the expansion of faults.
[0059] Special equipment information can be information about configuring corresponding special power equipment for special power demand. For example, an uninterruptible power supply (UPS) is configured in the hospital operating room to ensure uninterrupted power supply; a backup generator set, precision air conditioner, temperature and humidity control system, etc. are configured in the data center to ensure environmental stability and data security. The preset energy-saving demand can be the need to use high-efficiency energy-saving power equipment, such as LED lighting fixtures, variable frequency speed regulating motors, intelligent control systems, etc., to improve energy efficiency and reduce operating costs.
[0060] According to the example embodiment, the preset total power load, the corresponding power load distribution information, the power protection requirements and the key equipment requirements can be extracted from the power consumption characteristics. Based on the preset total power load and power load distribution information, a reasonable power distribution system architecture is designed, including transformer capacity selection, distribution cabinet configuration, cable specifications and laying routes, etc. According to the power protection requirements, the corresponding electrical protection equipment is selected and configured. These devices should be able to monitor power parameters such as current, voltage, power factor, etc. in real time, and cut off the power supply or sound an alarm in time when an abnormal situation is detected. In response to the needs of key equipment, special equipment that meets the requirements is selected and configured. These devices may include high-precision power supplies, temperature control systems, special brackets, safety protection devices, etc. to ensure the stable operation and efficient work of key equipment.
[0061] In the process of determining the site equipment information, the energy conservation and emission reduction goals of the power consumption site are achieved by selecting efficient and energy-saving distribution equipment, power equipment and protection measures, and optimizing the design and operation strategies of the distribution system (such as intelligent scheduling, demand-side management, etc.). Then the distribution equipment information, power protection information, special equipment information and preset energy-saving requirements can be used as the site equipment information.
[0062] This application determines the preset total power load and power load distribution information by accurately analyzing the characteristics of power consumption. This technology can ensure the reasonable allocation of power resources, avoid excess or insufficient power, improve the utilization rate of power equipment, reduce resource waste, and thus optimize the allocation of power resources. The power protection information determined according to the power protection needs can ensure that the power facilities in the power consumption site have complete safety protection measures. The special equipment information determined for the needs of key equipment can ensure that these key equipment are properly supported and protected. By equipping these devices with special equipment such as high-precision power supplies, temperature control systems, and special brackets, their stable operation and efficient work can be guaranteed, and production interruptions or efficiency reductions caused by equipment failures can be avoided, thereby ensuring the smooth production and operation of the power consumption site. Incorporating energy-saving needs into the process of determining site equipment information will help promote energy conservation and emission reduction in power consumption sites.
[0063] According to some embodiments, the power usage offset characteristics are determined by: determining the data source based on the measured power data; determining the equipment operation characteristics of the power equipment based on the power usage characteristics; and inputting the data source and equipment operation characteristics into a preset offset analysis model to determine the power usage offset characteristics.
[0064] In this application, data source can be used to represent the device that detects the measured power data or sends the measured power data to the security identification server. The equipment operation characteristics can be the operation rules / characteristics identified by preliminary analysis of the power data of the power equipment in combination with the actual situation of the power usage site and the known power usage characteristics (such as load type, usage time, working mode, etc.).
[0065] The preset offset analysis model can be trained based on historical data sources, historical equipment operation characteristics and predefined offset features. The predefined offset features include but are not limited to power consumption time offset, such as early or delayed start of power consumption, power consumption offset, such as the difference between actual power consumption and expected or historical average power consumption, and power consumption mode offset, such as changes in the power load curve caused by changes in the working mode.
[0066] According to an example embodiment, a fixed data bit of the measured power data may be a unique ID symbol of the device, and the corresponding data source may be determined by detecting the corresponding position of the measured power data. Then, the pre-set device operation characteristics may be matched according to the power consumption characteristics. Then, the data source and the device operation characteristics are input into the offset analysis model to output the corresponding power consumption offset characteristics.
[0067] This application can more accurately capture the actual operating conditions of power equipment by directly using the measured power data of power equipment, combined with specific power consumption characteristics, such as seasonal changes, differences between working days and rest days, and phased power demand in the production process. By inputting the measured data and power consumption characteristics into the preset offset analysis model, the power consumption offset characteristics of power equipment in different time periods and different working conditions can be systematically analyzed.
[0068] According to some embodiments, determining the electricity usage identification result can specifically include: performing data fusion on the electricity usage offset characteristics and the measured power data to determine a matching feature data set; determining key features from the matching feature data set according to a preset key feature selection method; determining a preset identification result determination model of a corresponding model type based on the key features; inputting the electricity usage offset characteristics, key features and the measured power data into the preset identification result determination model to output the determined electricity usage identification result.
[0069] In the present application, different types of recognition result determination models may be preset, and the corresponding model types may include decision trees, random forests, neural networks, etc. Different key features may correspond to different model types.
[0070] According to the example embodiment, the measured power data can first be cleaned to remove noise, outliers and missing values. Then the cleaned measured power data can be fused with the power consumption offset features to form a matching feature data set containing multi-dimensional information. This can be achieved by methods such as feature concatenation, feature conversion or feature selection to ensure that the data set contains both detailed information of the original power data and offset information reflecting the characteristics of power consumption behavior. Then, the key features can be determined from the matching feature data set according to the preset key feature selection method.
[0071] A preset recognition result determination model of a model type matching the key features may be obtained, and then the power consumption offset features, key features and measured power data are input into the preset recognition result determination model to directly output the power consumption recognition result.
[0072] This application constructs a matching feature data set containing rich information by fusing the power consumption offset characteristics and measured power data. This fusion not only enhances the comprehensiveness and representativeness of the data, but also enables data analysis to delve into subtle changes in power consumption behavior, thereby improving the accuracy and depth of data analysis. The preset recognition result determination model built based on key features can be customized for specific power consumption scenarios and needs.
[0073] According to some embodiments, the verification value of the power usage identification result can also be determined based on preset historical power usage identification data and preset evaluation indicators; the power usage identification result is optimized based on the verification value and a preset optimization method to determine the target identification result.
[0074] In this application, a large amount of historical electricity recognition data can be collected from the preset power database. These data should cover the recognition results in different time periods, different power equipment and different power usage scenarios to ensure the comprehensiveness and accuracy of the verification. According to actual needs, a series of evaluation indicators can be set to measure the accuracy, stability and reliability of the electricity recognition results. Evaluation indicators may include accuracy, recall rate, F1 score, mean square error (MSE), mean absolute error (MAE), etc. The selection of specific indicators depends on the specific requirements and objectives of the recognition task.
[0075] According to the example embodiment, the historical electricity consumption identification data can be evaluated using preset evaluation indicators to calculate the verification value of each indicator. These verification values will serve as the benchmark and reference for the subsequent optimization process. In some implementations, the preset historical electricity consumption identification data and the preset evaluation indicators can be input into a preset verification value determination model to determine the verification value. Then, the preset optimization method can be called to find the optimization method corresponding to the verification value to optimize the electricity consumption identification result. Specifically, cross-validation, grid search, genetic algorithm, etc. can be used for iterative optimization to determine the target identification result.
[0076] This application introduces historical electricity recognition data and preset evaluation indicators for verification and optimization, which can significantly improve the accuracy of electricity recognition results. The optimization process not only considers the performance of the current data set, but also introduces historical data and evaluation indicators to evaluate the generalization ability of the model, so as to build a more robust and universal recognition model that can adapt to electricity recognition tasks in different scenarios.
[0077] The following describes an apparatus embodiment of the present application, which can be used to execute the method embodiment of the present application. For details not disclosed in the apparatus embodiment of the present application, reference can be made to the method embodiment of the present application.
[0078] Figure 3 This is a block diagram of a safety identification device for an intelligent power protector provided in an embodiment of the present application. Figure 3 As shown, the safety identification device 300 of the intelligent power protector includes an information acquisition module 301 , an information analysis module 302 , an offset determination module 303 and an identification result determination module 304 .
[0079] The information acquisition module 301 is used to acquire the site application information of the power consumption site; The information analysis module 302 is used to determine the power consumption characteristics of the power consumption site and the power equipment corresponding to the power consumption characteristics according to the site application information; The offset determination module 303 is used to determine the power usage offset characteristics of the power equipment according to the measured power data of the power equipment and the corresponding power usage characteristics; The identification result determination module 304 is used to determine the power consumption identification result according to the power consumption offset characteristics and the measured power data.
[0080] Optionally, the information analysis module 302 is specifically used for: Determine the basic site information and operation mode of the power consumption site based on the site application information; Determine the electricity consumption characteristics of the electricity consumption sites based on basic site information and operation mode; Determine the site equipment information based on the electricity usage characteristics; Determine the electrical equipment corresponding to the power consumption characteristics based on the site equipment information.
[0081] Optionally, when determining the power consumption characteristics of the power consumption site according to the basic site information and the operation mode, the information analysis module 302 is specifically used to: Determine the load characteristics, key equipment requirements and basic energy efficiency of power consumption sites based on basic site information and operation modes; Determine the electricity consumption characteristics of the power consumption places based on load characteristics, key equipment requirements and basic energy efficiency.
[0082] Optionally, when determining the site equipment information according to the electricity usage characteristics, the information analysis module 302 is specifically used to: According to the characteristics of electricity consumption, determine the total preset electricity load, the corresponding electricity load distribution information, electricity protection requirements, and key equipment requirements; Determine the power distribution equipment information according to the preset total power load and the corresponding power load distribution information; Determine power protection information according to power protection requirements; Determine special equipment information based on key equipment requirements; The power distribution equipment information, power protection information, special equipment information and preset energy-saving requirements are determined as site equipment information.
[0083] Optionally, the offset determination module 303 is specifically configured to: Determine the data source based on the measured power data; Determine the equipment operation characteristics of power equipment according to the characteristics of power consumption; The data sources and equipment operation characteristics are input into the preset deviation analysis model to determine the characteristics of electricity consumption deviation.
[0084] Optionally, the recognition result determination module 304 is specifically used to: Perform data fusion on the power consumption offset characteristics and measured power data to determine matching feature data sets; Determine the key features from the matching feature data set according to a preset key feature selection method; Based on the key features, a preset recognition result determining model of a corresponding model type is determined; The power consumption offset characteristics, key characteristics and measured power data are input into a preset identification result determination model to output a determined power consumption identification result.
[0085] Optionally, the safety identification device 300 of the intelligent power protection device may further include an optimization module 305, which is used to: Determine the verification value of the power consumption identification result according to the preset historical power consumption identification data and the preset evaluation index; The electricity usage identification results are optimized according to the verification value and the preset optimization method to determine the target identification results.
[0086] The device performs functions similar to the method provided above. For other functions, please refer to the previous description and will not be repeated here.
[0087] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Figure 4 As shown, the electronic device 400 of this embodiment may include: a memory 401 and a processor 402 .
[0088] The memory 401 stores a computer program. When the computer program is executed by the processor 402, the processor 402 executes the method in the above embodiment.
[0089] The processor 402 and the memory 401 are connected, for example, via a bus.
[0090] Optionally, the electronic device 400 may further include a transceiver. It should be noted that in actual applications, the number of transceivers is not limited to one, and the structure of the electronic device 400 does not constitute a limitation on the embodiments of the present application.
[0091] Processor 402 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 402 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.
[0092] The bus may include a path to transmit information between the above components. The bus may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.
[0093] The memory 401 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.
[0094] The memory 401 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 402. The processor 402 is used to execute the application code stored in the memory 401 to implement the contents shown in the above method embodiment.
[0095] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.
[0096] The electronic device of this embodiment can be used to execute the method of any of the above embodiments, and its implementation principle and technical effect are similar, which will not be described in detail here.
[0097] The present application also provides a non-transitory computer-readable storage medium having computer-readable instructions stored thereon. When the aforementioned instructions are executed by a processor, the processor executes the method in the above embodiment.
[0098] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a non-transient computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.
[0099] The embodiments of the present application are described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application. At the same time, changes or deformations made by those skilled in the art based on the ideas of the present application, the specific implementation methods and the scope of application of the present application, all belong to the scope of protection of the present application. In summary, the content of this specification should not be construed as a limitation on the present application.
Claims
1. A method for safely identifying an intelligent power protector, characterized in that: include: Obtaining site application information of power consumption sites; Determining the power usage characteristics of the power usage location and the power equipment corresponding to the power usage characteristics according to the location application information; Determining the power usage offset characteristics of the power equipment according to the measured power data of the power equipment and the corresponding power usage characteristics; A power consumption identification result is determined according to the power consumption offset feature and the measured power data.
2. The method according to claim 1, characterized in that The determining, based on the site application information, the power usage characteristics of the power usage site and the power equipment corresponding to the power usage characteristics, includes: Determine the basic site information and operation mode of the power consumption site according to the site application information; Determining the electricity consumption characteristics of the electricity consumption site according to the basic site information and the operation mode; Determine the site equipment information according to the electricity usage characteristics; According to the site equipment information, the power equipment corresponding to the power usage characteristics is determined.
3. The method according to claim 2, characterized in that The determining, based on the basic site information and the operation mode, the electricity consumption characteristics of the electricity consumption site includes: Determine the load characteristics, key equipment requirements and basic energy efficiency of the power consumption site according to the basic site information and the operation mode; The electricity consumption characteristics of the electricity consumption site are determined according to the load characteristics, the key equipment requirements and the basic energy efficiency.
4. The method according to claim 3, characterized in that The determining of the location equipment information according to the electricity usage characteristics includes: According to the electricity consumption characteristics, determine the preset total power load, the corresponding power load distribution information, the power protection requirements, and the key equipment requirements; Determine the power distribution equipment information according to the preset total power load and the corresponding power load distribution information; Determining power protection information according to the power protection demand; Determine the special equipment information according to the key equipment requirements; The power distribution equipment information, the power protection information, the special equipment information and the preset energy-saving requirements are determined as the site equipment information.
5. The method according to claim 1, characterized in that The determining the power usage offset feature of the power equipment according to the measured power data of the power equipment and the corresponding power usage characteristics includes: Determining the data source according to the measured power data; Determining the equipment operation characteristics of the electric equipment according to the electricity consumption characteristics; The data source and the equipment operation characteristics are input into a preset deviation analysis model to determine the power usage deviation characteristics.
6. The method according to claim 1, characterized in that The determining of the power usage identification result according to the power usage offset feature and the measured power data includes: Performing data fusion on the power consumption offset feature and the measured power data to determine a matching feature data set; Determining key features from the matching feature data set according to a preset key feature selection method; Based on the key features, determine a preset recognition result determination model of a corresponding model type; The power usage offset feature, the key feature and the measured power data are input into the preset recognition result determination model to output and determine the power usage recognition result.
7. The method according to any one of claims 1 to 6, characterized in that: Also includes: Determine the verification value of the power consumption identification result according to the preset historical power consumption identification data and the preset evaluation index; The power usage identification result is optimized according to the verification value and a preset optimization method to determine a target identification result.
8. A safety identification device for an intelligent power protector, characterized in that: include: An information acquisition module, used to acquire location application information of a power consumption location; An information analysis module, used to determine the power consumption characteristics of the power consumption site and the power equipment corresponding to the power consumption characteristics according to the site application information; An offset determination module, used to determine the power usage offset characteristics of the power equipment according to the measured power data of the power equipment and the corresponding power usage characteristics; The identification result determination module is used to determine the power consumption identification result according to the power consumption offset characteristics and the measured power data.
9. An electronic device, characterized in that: include: processor; A memory storing a computer program, which, when executed by the processor, enables the processor to execute the safety identification method for the intelligent power protector according to any one of claims 1 to 7.
10. A non-transitory computer-readable storage medium, characterized in that: Computer-readable instructions are stored thereon, and when the instructions are executed by a processor, the processor executes the safety identification method for the intelligent power protector as described in any one of claims 1-7.