Power consumption management method and system based on Internet of Things electric box, and storage medium

Abstract

The invention discloses a power consumption management method and system based on Internet of Things electric boxes and a storage medium, and relates to the technical field of power grid management, and the power consumption management method comprises the steps: obtaining power consumption load data, power quality data and historical power consumption data of each Internet of Things electric box; generating a distribution scheme of an electric energy filter according to the power utilization load data, the electric energy quality data and the historical power utilization data; wherein the distribution scheme is used for representing the corresponding relation between each electric energy filter and each target area, and each electric energy filter corresponds to one or more target areas; according to the distribution scheme, generating a wiring suggestion graph, and sending the wiring suggestion graph to a master control device; wherein the actual position relation between the target areas and the connection relation between the target areas and the electric energy filter are marked in the wiring suggestion graph. The electric energy filters can be intelligently allocated, and the utilization efficiency of resources is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power grid management, and in particular to a power management method, system and storage medium based on an Internet of Things power box. Background Art

[0002] In modern power systems, with the continuous increase in electricity demand and the increasing complexity of power equipment, how to ensure the stability, reliability and safety of power supply has become an important challenge facing the power system. As a key device, power filters play an important role in electric shock protection in the existing system and can significantly improve the safety of electricity use.

[0003] However, in actual applications, if power filters are installed in each circuit, although it can improve the safety of electricity use, it may also lead to a waste of resources. Especially in some scenarios, such as dormitory areas, multiple dormitories can actually share one power filter. Due to the lack of a scientific and reasonable power filter allocation strategy, power filters are often unevenly allocated or over-allocated, which not only increases the complexity of the system, but also may reduce the efficiency of power use. Summary of the invention

[0004] The present application aims to solve at least one of the technical problems existing in the prior art. To this end, the present application proposes a power management method, system and storage medium based on an Internet of Things power box, which can intelligently allocate power filters and improve resource utilization efficiency.

[0005] In a first aspect, the present application provides a power management method based on an Internet of Things power box, which is applied to a power management system based on an Internet of Things power box, wherein the power management system includes a master control device, a plurality of Internet of Things power boxes and an electric energy filter, wherein the target area detected by each of the Internet of Things power boxes is different, and the Internet of Things power box is communicatively connected to the master control device;

[0006] The electricity management method comprises:

[0007] Obtaining a first operation instruction;

[0008] In response to the first operation instruction, an initial wiring suggestion diagram is generated on the interface of the master control device; wherein the wiring suggestion diagram identifies the actual position relationship of all devices connected to the power grid in the target area, and the connection relationship between the Internet of Things power box and the power filter;

[0009] Obtaining a second operation instruction for the icon corresponding to the electric energy filter;

[0010] In response to the second operation instruction, the position information of the icon corresponding to the power filter in the wiring suggestion diagram is updated, and the wiring suggestion diagram is updated according to the updated position information and displayed on the display screen of the master control device;

[0011] Wherein, generating a wiring suggestion diagram on the interface of the master control device includes:

[0012] Obtaining power load data, power quality data and historical power consumption data of each of the IoT power boxes;

[0013] Generate an allocation scheme of the power filter according to the power load data, the power quality data and the historical power consumption data; wherein the allocation scheme is used to characterize the corresponding relationship between each of the power filters and each of the target areas, and each of the power filters corresponds to one or more of the target areas;

[0014] A wiring suggestion diagram is generated according to the allocation scheme, and the wiring suggestion diagram is sent to the master control device.

[0015] According to the power management method based on the Internet of Things power box of the first embodiment of the present application, there are at least the following beneficial effects: the system generates and displays a wiring suggestion diagram based on the first operation instruction obtained, and the system can intuitively display the actual position relationship between each target area and their connection with the power filter. At the same time, for the layout position of the power filter, the user can modify the icon of the power filter that needs to be modified, thereby generating a second operation instruction, thereby updating the icon corresponding to the power filter in the wiring suggestion diagram, and immediately displaying the updated information on the display screen of the master control device, which can facilitate subsequent installers to install the power filter according to the wiring suggestion diagram. Users only need to use simple instructions to achieve complex power system management tasks, such as viewing the system layout, adjusting equipment connections, etc. This intuitive operation method reduces the dependence on professional knowledge, so that non-professionals can also easily get started. In addition, the user can directly interact with the system through a touch screen or other input device to realize information input and feedback, which not only improves the management efficiency of the power system, but also enhances the user experience and the overall performance of the system. In the step of generating the wiring suggestion map, the system first obtains the power load data, power quality data and historical power consumption data of each target area in real time through the IoT power box, and then generates the allocation plan of the power filter based on the above data. In this allocation plan, the corresponding relationship between each power filter and the target area is mainly clarified to ensure that each target area can get proper power filtering and protection. According to the allocation plan, the system will generate a wiring suggestion map. This map will clearly identify the actual position relationship between the target areas and the connection relationship between the target areas and the power filters. The generated wiring suggestion map will be sent to the master control device, so that the management personnel can intuitively understand the power distribution and the connection relationship between the target area and the power filter, so as to monitor and make decisions more efficiently. By intelligently allocating power filters, it is ensured that each target area can get proper power filtering and protection. While effectively preventing electric shock accidents, it avoids the waste of resources caused by installing power filters in each circuit, realizes the sharing and optimal configuration of power filters, and improves the utilization efficiency of resources.

[0016] According to some embodiments of the first aspect of the present application, generating an allocation scheme of the power filter according to the power load data, the power quality data and the historical power consumption data includes:

[0017] Inputting the power load data and the historical power consumption data into a preset prediction model to obtain load prediction information;

[0018] According to the power quality data, the power quality evaluation level is obtained by inputting the power quality data into a preset evaluation model;

[0019] generating fault record information according to the historical power consumption data;

[0020] An allocation scheme of the power filter is generated according to the load forecast information, the power quality assessment level and the fault record information.

[0021] According to some embodiments of the first aspect of the present application, generating an allocation scheme of the power filter according to the load forecast information, the power quality assessment level and the fault record information includes:

[0022] generating a priority level for each of the target areas according to the load forecast information, the power quality assessment level and the fault record information;

[0023] According to the priority level, an allocation plan of the electric energy filter is generated.

[0024] According to some embodiments of the first aspect of the present application, generating a priority level for each target area according to the load forecast information, the power quality assessment level and the fault record information includes:

[0025] Obtaining a preset uncertainty level in each of the target areas;

[0026] A priority level for each of the target areas is generated according to the load forecast information, the power quality assessment level, the fault record information and the uncertainty level.

[0027] According to some embodiments of the first aspect of the present application, generating a priority level for each target area according to the load forecast information, the power quality assessment level, the fault record information and the uncertainty level includes:

[0028] Obtaining a preset first weight corresponding to the load forecast information, a second weight corresponding to the electric energy assessment level, a third weight corresponding to the fault record information, and a fourth weight corresponding to the uncertainty level;

[0029] Based on the first weight, the second weight, the third weight and the fourth weight, according to the load forecast information, the power quality assessment level, the fault record information and the uncertainty level, obtain a power consumption score value for each of the target areas;

[0030] The priority level of each target area is generated according to the power consumption score value and a preset level relationship mapping table; wherein the level relationship mapping table is used to characterize the corresponding relationship between the power consumption score value and the priority level.

[0031] According to some embodiments of the first aspect of the present application, after the step of generating an allocation scheme of the power filter according to the power load data, the power quality data and the historical power consumption data, the step further includes:

[0032] Perform simulation test according to the allocation scheme, the power load data corresponding to each target area, the power quality data and the historical power consumption data to obtain test results;

[0033] According to the test result, the allocation scheme is updated until the test result meets a preset allocation threshold.

[0034] According to some embodiments of the first aspect of the present application, the power management method based on the Internet of Things power box provided by the present application also includes:

[0035] Based on the generated wiring suggestion diagram, obtaining a first execution action of the user selecting the power filter and the target area to be connected on the interface of the master control device;

[0036] generating a third operation instruction according to the first execution action;

[0037] In response to the third operation instruction, updating the allocation scheme;

[0038] Perform simulation tests according to the updated allocation scheme, and the power load data, the power quality data, and the historical power consumption data corresponding to each target area, to generate an updated wiring suggestion diagram and corresponding simulation results;

[0039] The updated wiring suggestion diagram is displayed on the display screen of the master control device, and a modification rationality mark is displayed on the display screen of the master control device according to the simulation result.

[0040] According to some embodiments of the first aspect of the present application, the power load data includes a real-time voltage value, a real-time current value, and an active power value; after the step of obtaining the power load data, power quality data, and historical power consumption data of each of the IoT power boxes, the step further includes:

[0041] When the real-time voltage value continuously deviates from the preset voltage threshold by more than or equal to a first range within a first period of time, a first alarm signal is generated;

[0042] When the real-time current value is greater than or equal to a preset current threshold, a second alarm signal is generated;

[0043] When the active power value is greater than or equal to the preset power value, a third alarm signal is generated; wherein the first alarm signal, the second alarm signal and the third alarm signal all contain an identification number corresponding to the IoT power box;

[0044] Recording the power load data and updating the historical power consumption data;

[0045] Based on the first alarm signal, the second alarm signal or the third alarm signal, a corresponding alarm type is generated on the interface of the master control device.

[0046] According to some embodiments of the first aspect of the present application, after the step of obtaining the power load data, power quality data and historical power consumption data of each of the IoT power boxes, the step further includes:

[0047] Based on the generated wiring suggestion diagram, obtaining a second execution action of a user inputting a total power upper limit value for electricity consumption in the target area on an interface of the master control device;

[0048] generating a fourth operation instruction according to the second execution action;

[0049] According to the fourth operation instruction, the Internet of Things power box is controlled to output electric energy to the target area according to the total power upper limit value.

[0050] In the second aspect, the present application also provides a method for managing electricity usage based on an Internet of Things power box, comprising: at least one memory; at least one processor; at least one program; the program is stored in the memory, and the processor executes at least one program to implement the method for managing electricity usage based on an Internet of Things power box as described in any embodiment of the first aspect.

[0051] In a third aspect, the present application further provides a computer-readable storage medium, which stores a computer-executable signal, and the computer-executable signal is used to execute the power management method based on the Internet of Things power box as described in any embodiment of the first aspect.

[0052] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Additional aspects and advantages of the present application will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0054] Figure 1 A flow chart of the power management method based on the Internet of Things power box provided in this application;

[0055] Figure 2 For this application Figure 1 Flow chart of step S120;

[0056] Figure 3 For this application Figure 2 Flow chart of step S122;

[0057] Figure 4 For this application Figure 3 Flow chart of step S240;

[0058] Figure 5 For this application Figure 4 Flow chart of step S310;

[0059] Figure 6 For this application Figure 5 Flow chart of step S420;

[0060] Figure 7 For this application Figure 2 The flowchart after step S122;

[0061] Figure 8 For this application Figure 1 Flowchart about step S130 and step S140;

[0062] Fig. 9 For this application Figure 2 The flowchart after step S121;

[0063] Fig.10 For this application Figure 2 FIG. 1 is a flowchart of another embodiment after step S121. DETAILED DESCRIPTION

[0064] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and cannot be understood as limiting the present application.

[0065] In the description of the present application, it should be understood that descriptions involving orientation, such as up, down, front, back, left, right, etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0066] In the description of this application, if there is a description of first or second, it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0067] In the description of this application, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in this application based on the specific content of the technical solution.

[0068] In modern power systems, with the continuous increase in electricity demand and the increasing complexity of power equipment, how to ensure the stability, reliability and safety of power supply has become an important challenge facing the power system. As a key device, power filters play an important role in electric shock protection in the existing system and can significantly improve the safety of electricity use.

[0069] The power filter achieves the purpose of harmonic suppression by injecting harmonic currents opposite to the harmonic currents on the load side into the power grid, so that the two cancel each other out on the grid side. At the same time, it can also achieve reactive power compensation, improve the power factor of the power system, and reduce power loss. In some power filters, devices such as isolation transformers may be used to isolate the current at the output end from the ground wire, thereby significantly reducing the voltage and current when touched, achieving the effect of "electric shock does not hurt people". In order to prevent electrical fires, power filters may also integrate arc fault protectors. When an arc fault is detected, the protector will quickly cut off the circuit to prevent the arc from sparking, thereby avoiding the occurrence of fire.

[0070] However, in actual applications, if power filters are installed in each circuit, although it can improve the safety of electricity use, it may also lead to a waste of resources. Especially in some scenarios, such as dormitory areas, multiple dormitories can actually share one power filter. Due to the lack of a scientific and reasonable power filter allocation strategy, power filters are often unevenly allocated or over-allocated, which not only increases the complexity of the system, but also may reduce the efficiency of power use.

[0071] Based on this, the present application provides a power management method, system and storage medium based on an Internet of Things power box to solve the above-mentioned technical problems. The technical solutions provided by the present application are described in detail one by one below.

[0072] First, refer to Figure 1 The present application provides a power management method based on an IoT power box, which is applied to a power management system based on an IoT power box. The power management system includes a master control device, a plurality of IoT power boxes and an electric energy filter. The target area detected by each IoT power box is different, and the IoT power box is connected to the master control device in communication. The power management method based on an IoT power box includes but is not limited to the following steps:

[0073] Step S110: obtaining a first operation instruction;

[0074] Step S120: In response to the first operation instruction, an initial wiring suggestion diagram is generated on the interface of the master control device; wherein the wiring suggestion diagram identifies the actual position relationship of all devices connected to the power grid in the target area, and the connection relationship between the IoT power box and the power filter;

[0075] Step S130: obtaining a second operation instruction for the icon corresponding to the power filter;

[0076] Step S140: In response to the second operation instruction, the position information of the icon corresponding to the power filter in the wiring suggestion diagram is updated, and the wiring suggestion diagram is updated according to the updated position information and displayed on the display screen of the master control device.

[0077] The system generates and displays a wiring suggestion diagram based on the first operation instruction obtained. The system can intuitively display the actual position relationship between each target area and their connection with the power filter. At the same time, for the layout position of the power filter, the user can modify the icon of the power filter that needs to be modified, thereby generating a second operation instruction, thereby updating the icon corresponding to the power filter in the wiring suggestion diagram, and immediately displaying the updated information on the display screen of the master control device, which can facilitate subsequent installers to install the power filter according to the wiring suggestion diagram. Users only need to use simple instructions to achieve complex power system management tasks, such as viewing the system layout, adjusting equipment connections, etc. This intuitive operation method reduces the dependence on professional knowledge, allowing non-professionals to easily get started. In addition, users can directly interact with the system through a touch screen or other input devices to realize information input and feedback, which not only improves the management efficiency of the power system, but also enhances the user experience and the overall performance of the system.

[0078] Specifically, the generated wiring suggestion diagram may include an actual position relationship diagram of each electronic device in the target area. When adjusting the actual position of the power filter, the overall wiring suggestion diagram may be updated according to the positions of other devices.

[0079] In addition, the IoT electrical boxes can be uniformly set up in a main machine room. When the power filter is installed on the ground, the corresponding IoT electrical boxes can be directly connected to the power filter in the main machine room.

[0080] Among them, refer to Figure 2 In step S120, the following steps may be included but not limited to:

[0081] Step S121: Obtain power load data, power quality data, and historical power consumption data of each IoT power box;

[0082] Step S122: generating an allocation scheme of power filters according to the power load data, the power quality data and the historical power consumption data; wherein the allocation scheme is used to characterize the corresponding relationship between each power filter and each target area, and each power filter corresponds to one or more target areas;

[0083] Step S123: Generate a wiring suggestion diagram according to the allocation plan, and send the wiring suggestion diagram to the master control device.

[0084] In step S121 to step S123, the system first obtains the power load data, power quality data and historical power consumption data of each target area in real time through the Internet of Things power box, and then generates an allocation plan for the power filter based on the above data. In this allocation plan, the corresponding relationship between each power filter and the target area is mainly clarified to ensure that each target area can be properly filtered and protected. According to the allocation plan, the system will generate a wiring suggestion map. This map will clearly identify the actual position relationship between the target areas and the connection relationship between the target area and the power filter. The generated wiring suggestion map will be sent to the master control device, so that the management personnel can intuitively understand the power distribution and the connection relationship between the target area and the power filter, so as to monitor and make decisions more efficiently. By intelligently allocating power filters, it is ensured that each target area can be properly filtered and protected. While effectively preventing electric shock accidents, it avoids the waste of resources caused by installing power filters in each circuit, realizes the sharing and optimal configuration of power filters, and improves the utilization efficiency of resources.

[0085] Among them, in step S121, the power load data may include but is not limited to the following information: current, voltage, active power, reactive power, etc. These data reflect the real-time power demand of the target area. The above power load data is usually collected in real time by sensors built into the IoT power box or smart meters. The power quality data may include but is not limited to the following information: harmonic content, voltage fluctuation, frequency deviation, etc., which are used to evaluate the power quality. The above power quality data is also collected by the corresponding sensors in the IoT power box. The historical power consumption data may include but is not limited to the following information: power consumption trends, peak and valley periods, etc. in the past period of time, which is helpful to predict future power demand. The above historical power consumption data is stored in the database and can be extracted through data analysis tools.

[0086] In addition, in step S123, specifically, the power management method based on the Internet of Things power box can be applied in a dormitory building. The wiring suggestion diagram will first show the floor layout of the dormitory building, including how many rooms there are on each floor, the location of the corridor, the stairwell, etc. Each room will have a clear mark on the map, such as the room number or a specific symbol, so as to quickly locate it. For each room or specific area, the type and approximate load of the main electrical equipment can be displayed on the map. For example, air conditioning, lighting, sockets, etc., where the load condition can be represented by color depth or digital labels to intuitively understand the power consumption of each room. The most important thing is that the power filter allocation scheme generated according to the power load data, power quality data and historical power consumption data will be presented in a graphical manner on the map. Each power filter and its corresponding one or more target areas are connected by specific symbols or lines to clearly show the connection relationship and correspondence between them. In addition, the display function of real-time power consumption data can be integrated on the map, that is, the user can click on a dormitory on the screen of the master control device, that is, the power load data of the dormitory can be viewed in real time. In the electricity management method based on the IoT power box applied to dormitory buildings, the wiring suggestion diagram, as an important management tool and information display platform, will include core contents such as floor and room layout, location and coverage of the IoT power box, and power filter allocation plan. It can also be applied in industrial communities, factory workshops, etc., which is not limited in this application.

[0087] Reference Figure 3 It is understandable that step S122 may include but is not limited to the following steps:

[0088] Step S210: inputting the power load data and the historical power consumption data into a preset prediction model to obtain load prediction information;

[0089] Step S220: inputting the power quality data into a preset evaluation model to obtain a power quality evaluation level;

[0090] Step S230: Generate fault record information based on historical power consumption data;

[0091] Step S240: Generate an allocation plan for power filters according to the load forecast information, the power quality assessment level and the fault record information.

[0092] In step S210, before metal processing the power load data and historical power data collected from the IoT power box, these data can be cleaned, denoised and normalized to ensure the data quality of the input model. After the denoising is completed, the power load data and historical power data are input into the preset prediction model, which can be a time series analysis model (ARIMA, LSTM, etc.), a machine learning model (random forest, gradient boosting tree, etc.) or a deep learning model. By performing the prediction operation, the load forecast information for a period of time in the future is obtained. Through the load forecast information, the future power load trend can be understood in advance. The power load trend not only includes the prediction of the power consumption changes in 24 hours a day, but also the prediction of the power consumption in each month of the year, which is helpful to formulate a reasonable power dispatch plan, avoid power shortages or surpluses, and provide data support for the allocation of power filters to ensure that the filters can be efficiently configured according to actual load requirements.

[0093] In step S220, the key indicators such as voltage stability, frequency deviation, harmonic content, etc. can be analyzed through the power quality data, and a power quality assessment model can be constructed according to the power quality standards and requirements. The assessment model can be based on rule judgment, fuzzy comprehensive evaluation or machine learning algorithm. The collected power quality data is input into the assessment model, and the assessment operation is performed to obtain the power quality assessment level of each target area. The power quality assessment level provides an important reference for the allocation of power filters to ensure that the filters can effectively filter and manage power quality problems.

[0094] In step S230, a fault detection algorithm or rule is set according to the historical power consumption data, and the monitored data is analyzed in real time to provide fault information support for the allocation of power filters, ensuring that the filters can be configured and monitored in a focused manner for the faulty areas.

[0095] In step S210 to step S240, the load forecast information, power quality assessment level and fault record information are comprehensively analyzed to evaluate the power demand and problems of each target area, taking into account factors such as load size, severity of power quality problems, frequency of faults, etc. Based on the analysis results, the allocation strategy of power filters is formulated. In this step, the optimal configuration and efficient utilization of power filters are achieved, the stability and reliability of the power system are improved, the power cost and maintenance cost are reduced, and the overall economic and social benefits are improved.

[0096] Reference Figure 4 In step S240, the following steps may be included but not limited to:

[0097] Step S310: generating a priority level for each target area according to load forecast information, power quality assessment level and fault record information;

[0098] Step S320: Generate an allocation plan for power filters according to the priority levels.

[0099] In step S310 to step S320, the load forecast information, power quality assessment level and fault record information are integrated to form a comprehensive assessment data set for each target area, and these data are analyzed in detail to identify which areas may face higher load pressure in the future, which areas have poor power quality, which areas have frequent faults, etc. Based on the analysis results, a priority level is assigned to each target area, and the determination of the priority level should take into account multiple factors, such as peak load in load forecasting, severity level in power quality assessment, fault frequency and severity in fault records, etc.

[0100] In one embodiment, assuming that there are three rooms in a dormitory building, namely Room A, Room B and Room C, according to the load forecast information, the power quality assessment level and the fault record information, the following is obtained:

[0101] Room A: The load forecast shows that there will be two peak loads in the next month. The power quality is assessed as medium (with slight harmonics). The fault record shows no major faults in the recent period.

[0102] Room B: The load forecast shows that the load is relatively stable, but the power quality is assessed as poor (large voltage fluctuations and high harmonic content), and the fault record shows that three equipment failures have occurred in the past three months.

[0103] Room C: Load forecast shows that the load is low and stable, the power quality is assessed as good, and the fault record shows that no faults have occurred.

[0104] Based on these data, Room A is given the second highest priority due to the possible peak load in the future and the average power quality. Floor B is given the highest priority due to the poor power quality and frequent failures. Floor C is given the lowest priority due to its good performance in all aspects. The allocation plan of power filters is generated according to the priority: first, a high-performance power filter is configured for Floor B to ensure its power quality and stability; then a medium-performance power filter is configured for Floor A to cope with the possible peak load; finally, according to actual needs and budget, consider whether to configure a power filter for Floor C or take other measures to improve its power environment.

[0105] In addition, in another embodiment, assuming that there are 6 rooms (Room 1 to Room 6) in the dormitory building, each room is connected to the IoT power box, and the following priority evaluation results are obtained according to the load forecast information, power quality assessment level and fault record information:

[0106] Room 1 (high priority): Load forecast shows that there will be continuous peak load in the next week, the power quality is assessed as poor (voltage instability, high harmonic content), and the fault record shows that there have been multiple equipment failures recently.

[0107] Room 2 and Room 3 (medium priority): The load forecast for these two rooms is relatively stable, but the power quality is assessed as medium (there are slight voltage fluctuations or harmonics), and Room 2 has had an equipment failure in the past month, while Room 3 has no major failure records.

[0108] Room 4, Room 5, and Room 6 (low priority): The load forecast for these three rooms is low and stable, the power quality is assessed as good or excellent, and the fault record shows no major faults.

[0109] Then, according to the priority levels, an allocation plan for the power filters is generated.

[0110] Since Room 1 has a high load, poor power quality and frequent faults, a high-performance power filter is separately configured in the distribution plan. This ensures that during peak load periods, the power supply to Room 1 is stable and the power quality is significantly improved.

[0111] Since the power quality of Room 2 and Room 3 is medium and there is a certain risk of failure, but the load is relatively stable, a power filter is shared by these two rooms in the distribution plan. By sharing the filter, the equipment cost can be reduced while ensuring the quality of power supply. In actual installation, the power filter can be installed in the best position to cover both Room 2 and Room 3 according to the physical location of the room and the layout of the power line.

[0112] For the three low-priority rooms 4, 5 and 6, since they have low load, good power quality and low failure rate, they share a power filter or adopt other cost-effective power quality improvement measures (such as optimizing power line layout, adding reactive power compensation devices, etc.) in the distribution plan.

[0113] By intelligently distributing power filters, we can ensure that each target area can receive proper power filtering and protection. While effectively preventing electric shock accidents, we can avoid the waste of resources caused by installing power filters in each circuit, realize the sharing and optimal configuration of power filters, and improve the efficiency of resource utilization.

[0114] Reference Figure 5 In step S310, the following steps may also be included but are not limited to:

[0115] Step S410: Obtain a preset uncertainty level in each target area.

[0116] Step S420: Generate a priority level for each target area based on load forecast information, power quality assessment level, fault record information and uncertainty level.

[0117] In step S410 to step S420, the uncertainty level reflects the unknown risks or potential problems that may exist in the target area in terms of power supply. Existing power quality monitoring methods may not be able to fully cover all potential problems. By considering these uncertain factors, the power demand and risk level of each region can be more comprehensively evaluated. For an uncertain power environment, the introduction of uncertainty levels helps to formulate flexible allocation plans, thereby making more scientific and reasonable allocation decisions.

[0118] The level of uncertainty can be determined based on multiple factors, for example: the dormitory building was previously an industrial plant, and its electricity usage pattern is significantly different from that of the dormitory. In addition, the lines of the industrial plant may have aged due to long-term use, and these lines may not have been completely replaced or upgraded when they were converted into dormitories. Furthermore, new electrical equipment may have been introduced into the dormitory building, and the compatibility of these devices with the original lines and the updating of the equipment will affect the efficiency and stability of the power supply. These differences may lead to uncertainties in line load, voltage requirements, etc. Therefore, the difference in historical electricity usage patterns can be used as an important factor in evaluating the level of uncertainty.

[0119] Reference Figure 6 In step S420, the following steps may be included but not limited to:

[0120] Step S510: Obtain a preset first weight corresponding to the load forecast information, a second weight corresponding to the electric energy assessment level, a third weight corresponding to the fault record information, and a fourth weight corresponding to the uncertainty level.

[0121] Step S520: Based on the first weight, the second weight, the third weight and the fourth weight, according to the load forecast information, the power quality assessment level, the fault record information and the uncertainty level, obtain the power consumption score of each target area.

[0122] Step S530: generating a priority level for each target area according to the power consumption score and a preset level relationship mapping table; wherein the level relationship mapping table is used to characterize the corresponding relationship between the power consumption score and the priority level.

[0123] In steps S510 to S520, the first weight corresponds to the weight value of the load forecast information, which is used to adjust the influence of the load forecast information in the comprehensive score. The importance of the load forecast information can be adjusted according to actual needs. For example, a higher weight can be assigned in high-load seasons or regions. The second weight corresponds to the weight value of the power quality assessment level, which is used to adjust the influence of the power quality assessment level in the comprehensive score. Different weights can be assigned according to the influence of power quality on system stability and user satisfaction. The third weight corresponds to the weight value of the fault record information, which is used to adjust the influence of the fault record information in the comprehensive score. Different weights can be assigned according to the influence of the fault on power supply and user life. The fourth weight corresponds to the weight value of the uncertainty level, which is used to adjust the influence of the uncertainty level in the comprehensive score. Different weights can be assigned according to the influence of uncertainty on power supply stability and reliability. The corresponding calculation formula can be:

[0124] Power consumption score = (load forecast information × first weight) + (power quality assessment level × second weight) + (fault record information × third weight) + (uncertainty level × fourth weight);

[0125] The calculation formula for the above power consumption rating is only an example in this embodiment, and this application does not make any specific limitation on this.

[0126] In step S530, the priority level of each target area can be generated by the power consumption score and a preset level relationship mapping table. In one embodiment, the level mapping table can be shown in the following table:

[0127] Electricity rating range Priority 90-100 high 70-89 middle 0-69 Low

[0128] In the above-mentioned hierarchical relationship mapping table, for example, the electricity consumption score of target area A is 85. According to the hierarchical relationship mapping table, this score falls within the range of 70-89, so the priority level of target area A is "medium". For another example, the electricity consumption score of target area B is 95, which is higher than 90. Therefore, according to the hierarchical relationship mapping table, the priority level of target area B is "high".

[0129] In practical applications, the hierarchical relationship mapping table can be adjusted according to specific circumstances. For example, if a certain area has particularly high requirements for the stability of power supply (such as data centers, hospital operating rooms, etc.), the mapping table can be adjusted so that the power consumption scores of these areas can more easily meet the high priority standards. In addition, the mapping table can also contain more hierarchical divisions to provide more refined priority management. For example, intermediate levels such as "extremely high", "medium-high", and "medium-low" can be added to better meet the power needs of different areas or equipment. Specifically, the form of the hierarchical relationship mapping table is not specifically limited in this application.

[0130] In addition, if the power filters are installed in a dispersed manner near each target area, it is necessary to consider how to optimize the layout to reduce cable length and possible power loss. When determining the priority level, the distance information between the target area and other target areas can be added as one of the evaluation conditions. This is not restricted in this application.

[0131] Reference Figure 7 It is understandable that after step S122, the following steps may also be included but not limited to:

[0132] Step S610: Perform simulation test according to the allocation scheme, power load data corresponding to each target area, power quality data and historical power consumption data to obtain test results;

[0133] Step S620: Update the allocation plan according to the test result until the test result meets the preset allocation threshold.

[0134] In step S610 to step S620, through simulation testing, the actual power grid environment can be simulated, and various possible changes in power load and power quality can be considered, so that the allocation plan can better adapt to the power demand in different areas and different time periods, thereby discovering and correcting potential unreasonable allocations and improving the overall operating efficiency and stability of the power grid.

[0135] Specifically, before simulation, according to the allocation scheme, key parameters such as the number, location, and capacity of the power filter in the simulation model are set. At the same time, simulation parameters such as simulation time and step length need to be set to ensure the accuracy and reliability of the simulation process. Start the simulation model, perform simulation according to the set parameters and input data, and pay attention to the operating status of the power grid and the performance of the power filter, and record relevant data. Finally, conduct an in-depth analysis of the simulation results to evaluate the actual effect of the allocation scheme. According to the analysis results, determine whether the allocation scheme meets the preset allocation threshold (such as the degree of improvement in power quality, load balance, etc.). If not, the allocation scheme needs to be adjusted and optimized according to the information fed back by the simulation results. Repeat the above simulation test process until the test results meet the preset allocation threshold, and the final allocation scheme will be used as the basis for practical application.

[0136] Reference Figure 8 It is understandable that step S130 may include but is not limited to the following steps:

[0137] Step S710: based on the generated wiring suggestion diagram, obtaining a first execution action of the user selecting the power filter and the target area to be connected on the interface of the master control device;

[0138] Step S720: Generate a third operation instruction according to the first execution action.

[0139] In step S710 to step S720, it is assumed that we have an electricity management system based on an IoT power box, in which a wiring suggestion diagram is displayed on the interface of the master control device, showing the positional relationship between each IoT power box, each target area and power filter, and the current connection status between them. The user selects a suitable power filter X based on the power demand of room A and the performance of the available power filter. Once the user selects room A and power filter X, the system may provide a clear operation button or option, such as "establish connection", "allocate power", etc. The user clicks this button as the first execution action to issue an instruction to the system to establish a connection between power filter X and room A. After receiving the user's click instruction, the system will automatically generate a modification instruction based on the user's selection and the current system status. This instruction contains the content to be modified, that is, the connection relationship between power filter X and room A, and the necessary parameters. After the system executes the modification instruction, it will update the internal power distribution plan and regenerate the wiring suggestion diagram. The updated wiring suggestion diagram will show the new connection relationship between power filter X and room A, and may also include other related power distribution information. The system then displays the updated wiring suggestion diagram on the display screen of the master control device for the user to view and confirm.

[0140] In addition, step S140 may include but is not limited to the following method steps:

[0141] Step S730: in response to the third operation instruction, updating the allocation plan;

[0142] Step S740: Perform simulation tests according to the updated allocation scheme, as well as the power load data, power quality data, and historical power consumption data corresponding to each target area, to generate an updated wiring suggestion diagram and corresponding simulation results;

[0143] Step S750: Displaying the updated wiring suggestion diagram on the display screen of the master control device, and displaying a modification rationality mark on the display screen of the master control device according to the simulation result.

[0144] In step S730 to step S750, after responding to the modification instruction, while updating the allocation plan, a simulation test is also performed based on the latest power load data, power quality data and historical power consumption data to simulate the actual operation and evaluate the impact of the modified wiring suggestion diagram on the power system, thereby ensuring the scientificity and accuracy of the decision. At the same time, through the modification rationality mark generated by the simulation results, managers can intuitively understand whether the modification plan is feasible and whether there are potential risks. The simulation results and modification rationality mark provide users with important decision-making basis, thereby helping users better understand the impact and consequences of the modification plan and make more informed decisions.

[0145] Reference Fig. 9 It is understood that after step S121, the following steps may be included but not limited to:

[0146] Step S810: When the real-time voltage value continuously deviates from the preset voltage threshold by more than or equal to a first range within a first time, a first alarm signal is generated;

[0147] Step S820: When the real-time current value is greater than or equal to the preset current threshold, a second alarm signal is generated;

[0148] Step S830: When the active power value is greater than or equal to the preset power value, a third alarm signal is generated; wherein the first alarm signal, the second alarm signal and the third alarm signal all contain the identification number of the corresponding IoT power box;

[0149] Step S840: Record power load data and update historical power consumption data;

[0150] Step S850: Based on the first alarm signal, the second alarm signal or the third alarm signal, a corresponding alarm type is generated on the interface of the master control device.

[0151] In steps S810 to S830, in the solution of the present application, in addition to providing basic data for the allocation of power filters, the IoT power box can also monitor the real-time power consumption of each target area in real time. By real-time monitoring of key parameters such as voltage, current, and active power, the system can quickly identify abnormal conditions in the power grid. When these parameters deviate from the preset safety range, the system can automatically generate corresponding alarm signals. This real-time performance ensures the timely discovery and response of power grid faults, and helps to reduce the impact of faults on power grid operations. The alarm signal contains the identification number of the corresponding IoT power box, which enables operation and maintenance personnel to quickly locate the specific location of the fault, shorten the time for troubleshooting and repair, and improve the reliability and stability of the power grid.

[0152] In step S840 to step S850, the system not only records the current power load data, but also updates the historical power load data in real time. This provides valuable data support for subsequent data analysis and fault prediction. By analyzing historical data, the laws and trends of power grid operation can be revealed, providing a scientific basis for the optimization and transformation of the power grid.

[0153] Automated alarm and recording functions reduce the workload of maintenance personnel, allowing them to focus more on troubleshooting and grid optimization. At the same time, through data analysis, maintenance personnel can formulate maintenance plans more accurately and improve the efficiency and effectiveness of maintenance work.

[0154] Reference Fig.10 It is understandable that after step S121, the following steps may also be included but not limited to:

[0155] Step S910: based on the generated wiring suggestion diagram, obtaining a second execution action of the user inputting a total power upper limit value for the target area power consumption on the interface of the master control device;

[0156] Step S920: generating a fourth operation instruction according to the second execution action;

[0157] Step S930: According to the fourth operation instruction, the IoT power box is controlled to output electric energy to the target area according to the total power upper limit value.

[0158] In step S910 to step S930, the user can set the total power upper limit for each target area on the interface of the master control device. The master control device generates a second execution action based on the input total power upper limit, and generates a setting instruction according to the second execution action, thereby controlling the IoT power box to output power to the target area according to the total power upper limit, which can effectively prevent problems such as grid overload and overheating of power equipment. When the power output by the IoT power box to the target area approaches or reaches the total power upper limit, the system will take corresponding measures to control and adjust to ensure that the power grid operates within a safe and stable range.

[0159] In one application scenario, such as in a college dormitory, each dormitory is equipped with an IoT power box to monitor the students' electricity usage in the dormitory. If the school stipulates that students cannot use dangerous high-power equipment such as electric kettles and induction cookers in the dormitory, the electricity usage of each dormitory can be controlled by setting a total power upper limit. For example, if the total power upper limit is set to 1100W, then under the monitoring of the IoT power box, only 1100W of electricity is allowed to be output to the student dormitory.

[0160] In the second aspect, the present application also provides an electricity management system based on an Internet of Things power box, comprising: at least one memory, at least one processor and at least one program, the program is stored in the memory, and the processor executes one or more programs to implement the above-mentioned electricity management method based on the Internet of Things power box.

[0161] As a non-transient computer-readable storage medium, the memory can be used to store non-transient software programs, non-transient computer executable programs and signals, such as program instructions / signals corresponding to the processing module in the embodiment of the present application. The processor executes various functional applications and data processing by running the non-transient software programs, instructions and signals stored in the memory, that is, the power management method based on the Internet of Things power box of the above method embodiment is realized.

[0162] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store relevant data of the above-mentioned power management method based on the Internet of Things power box, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device or other non-volatile solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processing module via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0163] One or more signals are stored in a memory, and when executed by one or more processors, the power management method based on the Internet of Things power box in any of the above method embodiments is executed.

[0164] In a third aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. The computer program is executed by one or more processors, enabling the one or more processors to execute the power management method based on the Internet of Things power box in the above method embodiment.

[0165] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0166] Through the description of the above embodiments, it will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed methods above can be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as a computer-readable signal, a data structure, a program module or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassette, magnetic tape, disk storage or other magnetic storage device, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media generally embodies computer readable signals, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0167] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0168] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0169] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0170] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0171] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0172] The embodiments of the present application are described in detail above in conjunction with the accompanying drawings, but the present application is not limited to the above embodiments, and various changes can be made within the knowledge scope of ordinary technicians in the relevant technical field without departing from the purpose of the present application.

Claims

1. A power management method based on an Internet of Things power box, characterized in that: Applied to an electricity management system based on an IoT power box, the electricity management system includes a master control device, a plurality of IoT power boxes and an electric energy filter, each IoT power box has a different target area to detect, and the IoT power box is communicatively connected to the master control device; The electricity management method comprises: Obtaining a first operation instruction; In response to the first operation instruction, an initial wiring suggestion diagram is generated on the interface of the master control device; wherein the wiring suggestion diagram identifies the actual position relationship of all devices connected to the power grid in the target area, and the connection relationship between the Internet of Things power box and the power filter; Obtaining a second operation instruction for the icon corresponding to the electric energy filter; In response to the second operation instruction, the position information of the icon corresponding to the power filter in the wiring suggestion diagram is updated, and the wiring suggestion diagram is updated according to the updated position information and displayed on the display screen of the master control device; Wherein, generating a wiring suggestion diagram on the interface of the master control device includes: Obtaining power load data, power quality data and historical power consumption data of each of the IoT power boxes; Generate an allocation scheme of the power filter according to the power load data, the power quality data and the historical power consumption data; wherein the allocation scheme is used to characterize the corresponding relationship between each of the power filters and each of the target areas, and each of the power filters corresponds to one or more of the target areas; A wiring suggestion diagram is generated according to the allocation scheme, and the wiring suggestion diagram is sent to the master control device.

2. The power management method based on the Internet of Things power box according to claim 1 is characterized in that: The step of generating the allocation scheme of the power filter according to the power load data, the power quality data and the historical power consumption data comprises: Inputting the power load data and the historical power consumption data into a preset prediction model to obtain load prediction information; Inputting the power quality data into a preset evaluation model to obtain a power quality evaluation grade; generating fault record information according to the historical power consumption data; An allocation scheme of the power filter is generated according to the load forecast information, the power quality assessment level and the fault record information.

3. The power management method based on the Internet of Things power box according to claim 2 is characterized in that: The step of generating the allocation scheme of the electric energy filter according to the load forecast information, the power quality assessment level and the fault record information comprises: generating a priority level for each of the target areas according to the load forecast information, the power quality assessment level and the fault record information; According to the priority level, an allocation plan of the electric energy filter is generated.

4. The power management method based on the Internet of Things power box according to claim 3 is characterized in that: The step of generating a priority level for each target area according to the load forecast information, the power quality assessment level and the fault record information includes: Obtaining a preset uncertainty level in each of the target areas; A priority level for each of the target areas is generated according to the load forecast information, the power quality assessment level, the fault record information and the uncertainty level.

5. The power management method based on the Internet of Things power box according to claim 4 is characterized in that: The step of generating a priority level for each target area according to the load forecast information, the power quality assessment level, the fault record information and the uncertainty level includes: Obtaining a preset first weight corresponding to the load forecast information, a second weight corresponding to the electric energy assessment level, a third weight corresponding to the fault record information, and a fourth weight corresponding to the uncertainty level; Based on the first weight, the second weight, the third weight and the fourth weight, according to the load forecast information, the power quality assessment level, the fault record information and the uncertainty level, obtain a power consumption score value for each of the target areas; The priority level of each target area is generated according to the power consumption score value and a preset level relationship mapping table; wherein the level relationship mapping table is used to characterize the corresponding relationship between the power consumption score value and the priority level.

6. The power management method based on the Internet of Things power box according to claim 1 is characterized in that: After the step of generating the allocation scheme of the power filter according to the power load data, the power quality data and the historical power consumption data, the step further includes: Perform simulation test according to the allocation scheme, the power load data corresponding to each target area, the power quality data and the historical power consumption data to obtain test results; According to the test result, the allocation scheme is updated until the test result meets a preset allocation threshold.

7. The power management method based on the Internet of Things power box according to claim 1 is characterized in that: Also includes: Based on the generated wiring suggestion diagram, obtaining a first execution action of the user selecting the power filter and the target area to be connected on the interface of the master control device; generating a third operation instruction according to the first execution action; In response to the third operation instruction, updating the allocation scheme; Perform simulation tests according to the updated allocation scheme, and the power load data, the power quality data, and the historical power consumption data corresponding to each target area, to generate an updated wiring suggestion diagram and corresponding simulation results; The updated wiring suggestion diagram is displayed on the display screen of the master control device, and a modification rationality mark is displayed on the display screen of the master control device according to the simulation result.

8. The power management method based on the Internet of Things power box according to claim 1 is characterized in that: The power load data includes real-time voltage value, real-time current value and active power value; After the step of obtaining the power load data, power quality data and historical power consumption data of each of the IoT power boxes, the method further includes: When the real-time voltage value continuously deviates from the preset voltage threshold by more than or equal to a first range within a first period of time, a first alarm signal is generated; When the real-time current value is greater than or equal to a preset current threshold, a second alarm signal is generated; When the active power value is greater than or equal to the preset power value, a third alarm signal is generated; wherein the first alarm signal, the second alarm signal and the third alarm signal all contain an identification number corresponding to the IoT power box; Recording the power load data and updating the historical power consumption data; Based on the first alarm signal, the second alarm signal or the third alarm signal, a corresponding alarm type is generated on the interface of the master control device.

9. The power management method based on the Internet of Things power box according to claim 7 is characterized in that: After the step of obtaining the power load data, power quality data and historical power consumption data of each of the IoT power boxes, the method further includes: Based on the generated wiring suggestion diagram, obtaining a second execution action of a user inputting a total power upper limit value for electricity consumption in the target area on an interface of the master control device; generating a fourth operation instruction according to the second execution action; According to the fourth operation instruction, the Internet of Things power box is controlled to output electric energy to the target area according to the total power upper limit value.

10. An electricity management system based on an Internet of Things power box, characterized in that: include: at least one memory; at least one processor; at least one program; The program is stored in the memory, and the processor executes at least one of the programs to implement the power consumption management method based on the Internet of Things power box as described in any one of claims 1 to 9.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer-executable signal, and the computer-executable signal is used to execute the power consumption management method based on the Internet of Things power box as described in any one of claims 1 to 9.

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