Smart and safe electricity comprehensive management and control platform

Abstract

The present disclosure provides a smart and safe electricity comprehensive management and control platform, which belongs to the field of electricity management technology. The smart and safe electricity comprehensive management and control platform includes: a first electricity management system, a second electricity management system, and a client electricity management device; the client electricity management device is connected to the second electricity management system, and is used to collect first electricity data, and send the second electricity data to the second electricity management system within a first time period, the first electricity data includes electricity data of users in different areas within a preset time period, and the second electricity data is electricity data after processing the first electricity data; the second electricity management system is connected to the first electricity management system, and is used to determine whether the first time period is reasonable based on the second electricity data, and send the second electricity data to the first electricity management system; the first electricity management system is used to perform electricity management and control based on the second electricity data. The present disclosure can detect abnormal electricity consumption, thereby ensuring electricity safety and improving energy efficiency.

Description

Technical Field

[0001] The present disclosure relates to the technical field of electricity management, and in particular to a smart and safe electricity comprehensive management and control platform. Background Art

[0002] With the popularization of electrical equipment and the increase in electricity consumption, electrical fires and electricity safety issues have become increasingly prominent. The traditional electricity safety management model can no longer meet the needs of modern society, so smart and safe electricity has emerged. The development of smart and safe electricity has gone through a process from initial concept proposal to technical exploration and then to the gradual maturity of practical application. With the continuous development of technologies such as the Internet of Things, cloud computing, and big data, the functions and performance of smart and safe electricity systems have been greatly improved.

[0003] Nowadays, smart and safe electricity use has become an important development direction of the power industry, and is also an important means to ensure electricity safety and improve energy efficiency. The current smart and safe electricity use system processes a large amount of data, and it is difficult to accurately determine the equipment and area where the fault occurs from a large amount of data. Summary of the invention

[0004] The disclosed embodiment provides a smart and safe electricity comprehensive management and control platform to solve the problem in the prior art of large data volume and difficulty in determining the faulty equipment.

[0005] The embodiment of the present disclosure provides a smart and safe electricity comprehensive management and control platform, including:

[0006] A first power management system, a second power management system, and a client power management device;

[0007] The client power management device is connected to the second power management system and is used to collect first power usage data and send second power usage data to the second power management system within a first time period, wherein the first power usage data includes power usage data of users in different areas within a preset time period, and the second power usage data is power usage data after processing the first power usage data;

[0008] The second power usage management system is connected to the first power usage management system, and is used to determine whether the first duration is reasonable based on the second power usage data, and send the second power usage data to the first power usage management system;

[0009] The first electricity consumption management system is used to perform electricity consumption management and control based on the second electricity consumption data.

[0010] In an exemplary embodiment of the present disclosure, each data in the first power consumption data corresponds to a label category;

[0011] The determining whether the first duration is reasonable based on the second power usage data includes:

[0012] The second power consumption management system calculates a second duration according to the first power consumption data and the tag category;

[0013] If the first duration is less than or equal to the second duration, the first duration is determined to be reasonable; if the first duration is greater than the second duration, the first duration is determined to be unreasonable.

[0014] In an exemplary embodiment of the present disclosure, there are multiple client power management devices;

[0015] The smart and safe electricity integrated management and control platform also includes:

[0016] When the first duration is unreasonable, the second power management system sends an instruction to the client power management device to control the client power management device to re-process the first power data;

[0017] The time length used by the client power management device to reprocess the first power consumption data is a third time length;

[0018] If the third duration is reasonable, the second power management system sends the second power usage data to the first power management system;

[0019] If the third duration is unreasonable, the second power management system marks the client power management device as a faulty device, and sends the second power usage data and the marking information of the faulty device to the first power management system.

[0020] In an exemplary embodiment of the present disclosure, the first electricity consumption management system is further used to perform a random check on the first electricity consumption data.

[0021] In an exemplary embodiment of the present disclosure, each data in the first power consumption data corresponds to a label category, and the label category includes a key area and a regular area;

[0022] The first power consumption management system is further used to perform a random check on the first power consumption data, including:

[0023] The first power management system uses a first sampling frequency to sample first power data of a key area with a tag type, and the first power management system uses a second sampling frequency to sample first power data of a regular area with a tag type;

[0024] The first sampling frequency is greater than the second sampling frequency.

[0025] In an exemplary embodiment of the present disclosure, each first power usage data corresponds to a load feature;

[0026] The second power management system is further used to determine whether the first duration is reasonable based on the similarity between the load characteristics and the standard characteristics.

[0027] In an exemplary embodiment of the present disclosure, each first power usage data corresponds to a label category, and the label category includes a key area and a regular area;

[0028] The determining whether the first duration is reasonable according to the similarity between the load characteristic and the standard characteristic includes:

[0029] Calculating similarity according to the load feature, the standard feature, the tag category and a first formula;

[0030] The first formula includes:

[0031]

[0032] Among them, X represents the similarity between the load characteristics and the standard characteristics, M0 represents the number of key areas, M represents the number of key areas and conventional areas; X1 represents When , the similarity between the load characteristics and the standard characteristics; X2 represents When , the similarity between the load feature and the standard feature; a is a positive number.

[0033] In an exemplary embodiment of the present disclosure, the smart and safe electricity integrated management and control platform further includes:

[0034] X1 is calculated by a second formula, wherein the second formula includes:

[0035]

[0036] Among them, X i represents the i-th load characteristic, Y j represents the jth standard feature of the conventional area, m represents the number of standard features of the conventional area, n represents the number of load features, m and n are positive integers, and b is a positive number;

[0037] X2 is calculated by a third formula, the third formula comprising:

[0038]

[0039] Among them, A i represents the weight coefficient of each load characteristic in the key area, X i represents the i-th load characteristic, Y p represents the pth standard feature of the key area, Yj represents the jth standard feature of the conventional area, m represents the number of standard features of the conventional area, n represents the number of load features, l represents the number of standard features of the key area, m, n, l are positive integers, b is a positive number, m <l。

[0040] In an exemplary embodiment of the present disclosure, the smart and safe electricity integrated management and control platform further includes:

[0041] Early warning systems;

[0042] The early warning system is connected to the second electricity management system.

[0043] In an exemplary embodiment of the present disclosure, the smart and safe electricity integrated management and control platform further includes:

[0044] Mobile terminals;

[0045] The mobile terminal is connected to the first power management system and the second power management system respectively;

[0046] The mobile terminal is used for management personnel to view the power consumption data analysis results of the first power consumption management system and the second power consumption management system in real time.

[0047] The embodiments of the present disclosure provide a smart and safe electricity comprehensive management and control platform with the following beneficial effects:

[0048] First, the present disclosure does not process a large amount of power consumption data at the same time, but processes the power consumption data in real time, which reduces the workload of the client power consumption management device and also reduces the probability of device failure.

[0049] Secondly, the disclosure judges the first duration through the second power management system, ensuring the efficiency and rationality of data processing. This function enables the platform to flexibly adapt to changes in power consumption in different regions, adjust data processing strategies in a timely manner, and ensure the real-time and accuracy of data.

[0050] Finally, the first power management system controls power consumption based on the data sent by the second power management system, realizing intelligent management. The system can analyze the second power consumption data, predict power demand, adjust the power supply strategy, and detect abnormal power consumption, thereby ensuring power safety and improving energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0052] Figure 1 It is a structural diagram of a smart and safe electricity comprehensive management and control platform provided by an embodiment of the present disclosure;

[0053] Figure 2 It is a flow chart of the smart and safe electricity management method provided in the embodiment of the present disclosure. DETAILED DESCRIPTION

[0054] In order to enable people in the technical field to better understand the present solution, the technical solution in the embodiment of the present solution will be clearly described below in conjunction with the drawings in the embodiment of the present solution. Obviously, the described embodiment is an embodiment of a part of the present solution, not all of the embodiments. Based on the embodiments in the present solution, all other embodiments obtained by ordinary technicians in the field without creative work should fall within the scope of protection of the present solution.

[0055] The term "including" and any other variations in the specification and claims of this solution and the above drawings mean "including but not limited to", and is intended to cover non-exclusive inclusions and is not limited to the examples listed in the text. In addition, the terms "first" and "second" are used to distinguish different objects, not to describe a specific order.

[0056] The following is a detailed description of the implementation of the present disclosure in conjunction with the specific drawings:

[0057] Figure 1 This is a schematic diagram of the structure of a smart and safe electricity comprehensive management and control platform provided by the embodiment of the present disclosure. Figure 1 The smart and safe electricity integrated management and control platform includes:

[0058] A first power management system 13, a second power management system 12, and a client power management device 11;

[0059] The client power management device 11 is connected to the second power management system 12, and is used to collect the first power usage data, and send the second power usage data to the second power management system 12 within a first time period, wherein the first power usage data includes the power usage data of users in different areas within a preset time period, and the second power usage data is the power usage data after processing the first power usage data;

[0060] The second power management system 12 is connected to the first power management system 13, and is used to determine whether the first duration is reasonable based on the second power usage data, and send the second power usage data to the first power management system 13;

[0061] The first power consumption management system 13 is used to perform power consumption control based on the second power consumption data.

[0062] In this embodiment, the first power management system 13, the second power management system 12 and the client power management device 11 form an architecture of a smart and safe power integrated management and control platform. The three main components in this architecture realize intelligent management of power safety through data exchange and collaboration.

[0063] The client power management device 11 is used to collect the user's power consumption data in real time. For example, a client power management device 11 can collect the power consumption data of an ordinary user, an office building, a school or a factory. The client power management device 11 can pre-process the power consumption data within a preset time period, that is, the first power consumption data, and send it to the second power management system 12, and the pre-processing time period is the first time period.

[0064] In this embodiment, the preset duration is set by the administrator who manages the client power management device 11, but the preset duration can also be automatically adjusted by the client power management device 11 according to the collected power consumption data. For example, if the preset duration set by the administrator who manages the client power management device 11 is 30 minutes, when the amount of power consumption data is large, the client power management device 11 can shorten the preset duration, such as adjusting 30 minutes to 10 minutes, so that the device can more flexibly adapt to the changes in power consumption in different areas, ensure the real-time and accuracy of the data, thereby improving the efficiency and safety of power management and reducing potential risks.

[0065] The pre-processing of the power consumption data by the client power consumption management device 11 includes removing duplicate data, erroneous data or abnormal data, so as to ensure the quality and integrity of the data.

[0066] In this embodiment, the second power management system 12 serves as an intermediate layer, connected to both the client power management device 11 and the first power management system 13. Its main function is to receive the second power usage data from the client power management device 11, and to determine whether the first duration is reasonable based on these data. If the judgment result shows that the first duration is unreasonable, it may be necessary to find the unreasonable reason. The second power usage data includes the first duration of the client power management device 11 processing the first power usage data.

[0067] For example, the preset duration set by the client power management device 11 is 10 minutes, that is, the client pre-processes the power consumption data within 10 minutes each time to obtain the second power consumption data, and the standard processing duration is 1 minute. If the first duration received by the second power management system 12 is 2 minutes, the first duration is determined to be unreasonable; if the first duration received by the second power management system 12 is 30 seconds (within 1 minute), the first duration is determined to be reasonable.

[0068] The second power management system 12 can also store the second power usage data sent by the client power management device 11, and send the second power usage data to the first power management system 13 for further analysis and processing. The second power management system 12 can be regarded as a data backup method. Even if the second power management system 12 fails or data is lost, the corresponding data can be found in the first power management system 13 to ensure the security and integrity of the data.

[0069] The first power management system 13, as the upper management system of the entire platform, performs power management and control based on the second power data sent by the second power management system 12. These management and control measures may include but are not limited to: adjusting power supply strategies, predicting power demand, detecting abnormal power usage, etc. The first power management system 13 ensures power safety and improves energy efficiency through intelligent management and control means.

[0070] In this embodiment, the working process of the smart and safe electricity comprehensive management and control platform is as follows: the client power management device 11 collects the first power consumption data within a preset time period, and pre-processes the first power consumption data to obtain the second power consumption data. The time taken by the client power management device 11 to process the first power consumption data within the preset time period is the first time period. The client power management device 11 sends the second power consumption data and the first time period to the second power management system 12, and the second power management system 12 determines whether the first time period is reasonable. If it is reasonable, the second power consumption data is sent to the first power management system 13; if it is unreasonable, it is determined whether there is an equipment failure, and after confirming the cause of the unreasonable occurrence, the second power consumption data is sent to the first power management system 13. The first power management system 13 further analyzes the second power consumption data and performs power consumption control based on these data. For example, adjusting the power supply strategy, predicting power demand, etc.

[0071] From the above, it can be concluded that, firstly, the present disclosure does not process a large amount of power consumption data at the same time, but processes the power consumption data in real time, which reduces the workload of the client power consumption management device 11 and also reduces the probability of equipment failure. The first power consumption data in the present disclosure includes the power consumption data of users in different areas within a preset time period, and the failed device can be accurately determined based on the first power consumption data and the area corresponding to the first power consumption data.

[0072] Secondly, the present disclosure ensures the efficiency and rationality of data processing by judging the first duration through the second power management system 12. This function enables the platform to flexibly adapt to the changes in power consumption in different regions, adjust the data processing strategy in time, and ensure the real-time and accuracy of the data.

[0073] Finally, the first power management system 13 performs power management and control based on the data sent by the second power management system 12, thus realizing intelligent management. The system can analyze the second power data, predict power demand, adjust the power supply strategy, and detect abnormal power consumption, thereby ensuring power safety and improving energy efficiency.

[0074] In one embodiment of the present disclosure, each data in the first power usage data corresponds to a label category;

[0075] Judging whether the first duration is reasonable based on the second power consumption data includes:

[0076] The second power consumption management system 12 calculates the second duration according to the first power consumption data and the tag category;

[0077] If the first duration is less than or equal to the second duration, the first duration is determined to be reasonable; if the first duration is greater than the second duration, the first duration is determined to be unreasonable.

[0078] In this embodiment, the label category indicates the area to which the power consumption data belongs. If the label category is a key area, it means that the power consumption data is data collected by the client power consumption management device 11 from the key area; if the label category is a regular area, it means that the power consumption data is data collected by the client power consumption management device 11 from the regular area.

[0079] In this embodiment, each data in the first power consumption data corresponds to a label category, and the second power consumption management system 12 can calculate the duration (second duration) of processing the first power consumption data according to the label category of the first power consumption data. For example, the first power consumption data is the power consumption data of a user within 10 minutes, and the label category of the first power consumption data is a conventional area. Assume that the standard duration for the client power consumption management device 11 to process the first power consumption data is 1 minute (i.e., the second duration), but in fact, the duration for the client power consumption management device 11 to process the first power consumption data is 2 minutes (first duration). The second power consumption management system 12 determines that the first duration is greater than the second duration based on the label category (conventional area) and the second power consumption data, and the first duration is unreasonable. If the first duration is unreasonable, it indicates that the client power consumption management device 11 itself has failed, or the amount of data has increased compared to before.

[0080] Assume that the standard duration for the client power management device 11 to process the first power data is 1 minute (i.e., the second duration), but in fact, the duration for the client power management device 11 to process the first power data is 45 seconds (the first duration). Then, the second power management system 12 determines that the first duration is less than the second duration based on the tag category (conventional area) and the second power data, indicating that the first duration is reasonable.

[0081] In this embodiment, if the second power management system 12 determines that the first duration is reasonable, it means that there is no problem with the device and data processing, and the second power management system 12 can send the second power data to the first power management system 13. If the second power management system 12 determines that the first duration is unreasonable, it may be that the first power data has changed, or the device itself has failed, resulting in an increase in the time to process the data.

[0082] From the above, it can be concluded that the present disclosure optimizes the management and evaluation of electricity consumption data by introducing tag categories. This strategy can more accurately reflect the actual electricity consumption, thereby more accurately judging the rationality of the first duration. This judgment method not only improves the management efficiency of electricity consumption data, but also helps to reduce unnecessary energy waste, promote energy conservation and emission reduction, and provide users with more accurate electricity consumption analysis and optimization suggestions.

[0083] In one embodiment of the present disclosure, there are multiple client power management devices 11;

[0084] The smart and safe electricity integrated management and control platform also includes:

[0085] When the first duration is unreasonable, the second power management system 12 sends an instruction to the client power management device 11 to control the client power management device 11 to reprocess the first power data;

[0086] The time length used by the client power consumption management device 11 to reprocess the first power consumption data is a third time length;

[0087] If the third duration is reasonable, the second power management system 12 sends the second power management system 13;

[0088] If the third duration is unreasonable, the second power management system 12 marks the client power management device 11 as a faulty device, and sends the second power usage data and the marking information of the faulty device to the first power management system 13 .

[0089] In this embodiment, if the second power management system 12 determines that the first duration is unreasonable, the second power management system 12 needs to exclude whether it is caused by a surge in data volume. Although each data in the first power data corresponds to a label category, if the label category corresponding to the first power data is a regular area, when the data volume in the first power data increases, the first power data does not match the label category.

[0090] In this embodiment, when the first duration is unreasonable, the second power management system 12 can send instructions to the client power management device 11, so that the client power management device 11 re-processes the first power data, and then sends the re-processed duration (third duration) and the processed data to the second power management system 12.

[0091] If the second power management system 12 determines that the third duration is reasonable, the second power management system 12 sends the second power management system 12 to the first power management system 13; if the third duration is unreasonable, the second power management system 12 marks the client power management device 11 as a faulty device, and sends the second power management data and the marking information of the faulty device to the first power management system 13.

[0092] For example, if the actual processing time of the first power consumption data (conventional area) by the client power consumption management device 11 is 2 minutes (first time), and the second power consumption management system 12 determines that the standard processing time of the first power consumption data (conventional area) is 1 minute (second time), then the first time is determined to be unreasonable. The unreasonable reason at this time may be that the processing time is extended due to the increase in the amount of power consumption data, or the processing time changes due to a failure of the client power consumption management device 11. In this case, the second power consumption management system 12 sends an instruction to the client power consumption management device 11 to control the client power consumption management device 11 to reprocess the first power consumption data.

[0093] If the time taken by the client power management device 11 to reprocess the first power usage data is still 2 minutes (the third time), and the second power management system 12 analyzes that the data volume of the second power usage data does not match the label category (conventional area), and the data volume of the second power usage data has actually reached the data volume of the key area, then the third time is determined to be reasonable.

[0094] If the time taken by the client power management device 11 to reprocess the first power data is not 2 minutes, but 80 seconds, 76 seconds or other time, and the second power management system 12 analyzes that the data volume of the second power data does not match the label category (conventional area), the data volume of the second power data has actually reached the data volume of the key area. In this case, it is determined that the third time is unreasonable, which may be due to a failure of the client power management device 11 itself.

[0095] It can be concluded from the above that this embodiment effectively solves the problem of unreasonable data processing time by introducing a reprocessing mechanism of the client power management device 11. When the first time is unreasonable, the second power management system 12 can guide the client power management device 11 to reprocess the data and determine whether the device is faulty based on the rationality of the third time. This mechanism not only improves the accuracy and efficiency of data processing, but also enhances the intelligent level of power management, providing a strong guarantee for safe power use.

[0096] In an embodiment of the present disclosure, the first power consumption management system 13 is further used to perform a random check on the first power consumption data.

[0097] In this embodiment, firstly, random inspection is an effective quality control method, which can ensure the accuracy and reliability of the first power consumption data. Since the first power consumption data may be affected by various factors, such as equipment failure, data transmission error, etc., random inspection can timely discover these problems and correct them, thereby improving the quality of the data.

[0098] Secondly, the advantage of random inspection is that it can effectively monitor the quality of a large amount of data without increasing the workload. Compared with traditional comprehensive inspections, random inspections are more efficient and less costly. At the same time, random inspections can conduct targeted inspections on potential risks, discover and solve problems in advance, and thus avoid larger problems that may arise later.

[0099] Finally, random inspection can also provide real-time feedback and evaluation for the first power management system 13. Through regular or irregular random inspections, managers can understand the status and quality of current power data, adjust and optimize power management strategies in a timely manner, and improve power efficiency and safety.

[0100] In one embodiment of the present disclosure, each data in the first power consumption data corresponds to a label category, and the label category includes a key area and a regular area;

[0101] The first power consumption management system 13 is further used to perform random inspection on the first power consumption data, including:

[0102] The first power management system 13 performs random inspection on the first power usage data of the key area with the tag type using the first random inspection frequency, and the first power management system 13 performs random inspection on the first power usage data of the regular area with the tag type using the second random inspection frequency;

[0103] The first sampling frequency is greater than the second sampling frequency.

[0104] In this embodiment, the sampling process of the first power management system 13 demonstrates its flexible management strategy for different types of tagged power data. Since each data in the first power data corresponds to a tag category, including key areas and regular areas, this classification enables the system to formulate different sampling frequencies according to the characteristics and importance of different areas.

[0105] In this embodiment, first, the first power management system 13 will classify each power consumption data into key areas or regular areas according to its geographical location, purpose, historical power consumption and other factors, and label it accordingly. For example, large commercial centers, schools, hospitals and other places can be classified as key areas, and residential buildings, administrative villages, parks and other places can be classified as regular areas.

[0106] The first electricity management system 13 sets different sampling frequencies according to the tag type. For key areas, since these areas may contain key facilities, high-energy consumption equipment or areas with greater safety hazards, the system uses a higher first sampling frequency for sampling. For conventional areas, since these areas are usually more stable and have lower risks, the system uses a lower second sampling frequency. At the set sampling time point, the system will randomly select part of the data from the electricity consumption data of the corresponding area for inspection according to the predetermined sampling frequency. This process can be completed automatically through an automated program or manually triggered by a manager. For the sampled data, the system will conduct automatic or manual review to verify its accuracy and rationality. For abnormal or unexpected data, the system will record, alarm or take other corresponding processing measures.

[0107] For example, the first electricity consumption data of key areas such as schools and shopping malls can be sampled every 4 hours, such as at 2:00, 6:00, 10:00, 14:00, 18:00, and 22:00 every day. For each administrative village or residential building, it can be sampled every 12 hours, such as at 12:00 and 24:00 every day.

[0108] From the above, it can be concluded that, through random inspections, the first electricity management system 13 can promptly detect and correct errors or anomalies in the data, ensure the accuracy and reliability of electricity data, and provide a reliable basis for subsequent data analysis and decision-making. For key areas, since these areas may have higher risks, such as equipment failure, energy waste or safety hazards, high-frequency random inspections can promptly detect and deal with these problems, reducing the probability and impact of risk occurrence. By setting different random inspection frequencies for different areas, the first electricity management system 13 can allocate resources more reasonably, invest more energy and resources in areas with higher risks or areas that need special attention, and achieve optimal allocation and efficient use of resources.

[0109] In an embodiment of the present disclosure, the first power consumption management system 13 is further used to detect the first power consumption data collected by all the client power consumption management devices 11 marked as faulty devices.

[0110] In this embodiment, by detecting the first power consumption data collected by the faulty device, the first power consumption management system 13 can more accurately locate the location and cause of the fault. These data provide key information about device performance, load, energy consumption, etc., which helps engineers and technicians quickly identify problems and repair them.

[0111] In this embodiment, the benefits of detecting the first power consumption data of all devices marked as faulty rather than spot checking are as follows:

[0112] Full testing ensures that the data of each faulty device is carefully checked, thus avoiding the situation where some faults may be missed due to random inspections. This is crucial to ensure the stability and reliability of the entire power management system. Full testing ensures the integrity of the data and provides a rich data source for subsequent data analysis and data mining. Through in-depth analysis of the power consumption data of faulty devices, potential system problems or room for improvement can be discovered.

[0113] Based on a comprehensive analysis of all faulty equipment data, managers can develop more effective repair strategies and optimization measures. This not only solves the current problem, but also prevents similar failures from happening again. By fully testing the power consumption data of all faulty equipment, managers can ensure that all potential problems are dealt with in a timely manner, thereby improving the reliability of the entire power management system. Comprehensively testing all faulty equipment and reporting the results to customers can enhance customer trust in the power management system. This helps to build long-term customer relationships and improve customer satisfaction.

[0114] In one embodiment of the present disclosure, each first power usage data corresponds to a load feature;

[0115] The second power management system 12 is further used to determine whether the first duration is reasonable according to the similarity between the load characteristics and the standard characteristics.

[0116] In this embodiment, each first power consumption data corresponds to a load feature. These load features may include various factors such as the type of power-consuming equipment, output voltage, output current, output power, usage time, power consumption mode, etc. A set of standard features is preset in the second power consumption management system 12. These standard features may be derived from the analysis of historical data, industry specifications, equipment performance standards, etc., and represent typical load features of the equipment under normal operating conditions.

[0117] In this embodiment, the second power management system 12 compares the similarity between the load characteristics corresponding to the current first power consumption data and the preset standard characteristics. The similarity calculation method may adopt a variety of algorithms, such as Euclidean distance, cosine similarity, etc., depending on the design and requirements of the system. The system will set a similarity threshold. When the calculated similarity is higher than the threshold, it is considered that the current load characteristics are similar to the standard characteristics, so that the first duration (which may refer to the usage time of the equipment or a certain period of power consumption) is reasonable. On the contrary, if the similarity is lower than the threshold, it is considered that the current load characteristics are abnormal and the first duration may be unreasonable.

[0118] According to the comparison result between the similarity and the threshold, the second power management system 12 can automatically determine whether the first duration is reasonable. If reasonable, normal monitoring will continue; if unreasonable, it may be necessary to trigger an alarm, notify maintenance personnel, or take other corresponding measures.

[0119] It can be concluded from the above that the second power management system 12 can also continuously learn and optimize the standard features and similarity thresholds according to the actual operation conditions. For example, by analyzing a large amount of historical data, the system can update the standard features to more accurately reflect the actual operation conditions of the equipment; at the same time, the similarity threshold can also be adjusted according to historical alarms and maintenance records to improve the accuracy and reliability of the judgment.

[0120] In one embodiment of the present disclosure, each first power consumption data corresponds to a label category, and the label category includes a key area and a regular area;

[0121] Whether the first duration is reasonable is determined based on the similarity between the load characteristics and the standard characteristics, including:

[0122] Calculate similarity based on load characteristics, standard characteristics, label categories and the first formula;

[0123] The first formula includes:

[0124]

[0125] Among them, X represents the similarity between the load characteristics and the standard characteristics, M0 represents the number of key areas, M represents the number of key areas and conventional areas; X1 represents When , the similarity between the load characteristics and the standard characteristics; X2 represents When , the similarity between the load feature and the standard feature; a is a positive number.

[0126] In this embodiment, when the proportion of the number of key areas to the total number of key areas and conventional areas is less than or equal to a certain value, the similarity between the load characteristics and the standard characteristics is X1; when the proportion of the number of key areas to the total number of key areas and conventional areas is greater than a certain value, the similarity between the load characteristics and the standard characteristics is X2.

[0127] From the above, it can be concluded that this method of dynamically adjusting the similarity evaluation between load characteristics and standard characteristics by considering the proportion of key areas in the total area makes the power management system more flexible and accurate, and can customize the similarity threshold according to the importance of different areas. This dynamic adjustment strategy helps to optimize resource allocation, improve power management efficiency, and provide strong guarantee for the stable operation of the power system.

[0128] In one embodiment of the present disclosure, the smart and safe electricity integrated management and control platform further includes:

[0129] X1 is calculated by the second formula, which includes:

[0130]

[0131] Among them, X i represents the i-th load characteristic, Y j represents the jth standard feature of the conventional area, m represents the number of standard features of the conventional area, n represents the number of load features, m and n are positive integers, and b is a positive number;

[0132] X2 is calculated by the third formula, which includes:

[0133]

[0134] Among them, A i represents the weight coefficient of each load characteristic in the key area, X i represents the i-th load characteristic, Y p represents the pth standard feature of the key area, Y j represents the jth standard feature of the conventional area, m represents the number of standard features of the conventional area, n represents the number of load features, l represents the number of standard features of the key area, m, n, l are positive integers, b is a positive number, m <l。

[0135] In this embodiment, the smaller the difference between the load feature and the corresponding standard feature, the higher the similarity between the load feature and the standard feature. b is a constant, which can be obtained through multiple tests or based on historical electricity consumption data. i Represents the weight coefficient of each load characteristic in the key area, A i The value of is generally between 1 and 2. The weight coefficient is added to highlight the importance of each power consumption data in the key areas. X2 represents the similarity between the load characteristics and the standard characteristics when the proportion of the key area is greater than a certain value.

[0136] In one embodiment of the present disclosure, the smart and safe electricity integrated management and control platform further includes:

[0137] Early warning systems;

[0138] The early warning system is connected to the second power management system 12 .

[0139] In this embodiment, the early warning system is closely connected and works in coordination with the second power management system 12. The second power management system 12 is responsible for collecting, analyzing and processing power consumption data from each client power management device 11, including load characteristics and other information. At the same time, it is also responsible for comparing the analysis results with the preset standard characteristics to determine whether the operating status of the power consumption device is normal.

[0140] When the second power management system 12 detects that the similarity between the load characteristics of one or more power-consuming devices and the standard characteristics is lower than the preset threshold, that is, when it determines that an abnormal situation exists, it will immediately pass this information to the early warning system. After receiving this signal, the early warning system will quickly activate the early warning mechanism and send early warning information to relevant personnel through various methods such as sound and light alarms, SMS notifications, and email reminders according to the preset early warning strategy.

[0141] In addition, the early warning system can automatically adjust the warning level and response speed according to the severity and urgency of the abnormal situation to ensure that the abnormal situation is handled in the shortest possible time. At the same time, the early warning system will also save each warning record in the database for subsequent data analysis and troubleshooting.

[0142] It can be concluded from the above that real-time monitoring and rapid response of electrical equipment can be achieved through the connection between the early warning system and the second power management system 12. Once an abnormal situation is detected, the early warning system can immediately activate the early warning mechanism to ensure that relevant personnel can quickly receive the early warning information and take corresponding measures.

[0143] In one embodiment of the present disclosure, the smart and safe electricity integrated management and control platform further includes:

[0144] Mobile terminals;

[0145] The mobile terminal is connected to the first power management system 13 and the second power management system 12 respectively;

[0146] The mobile terminal is used by the management personnel to view the power consumption data analysis results of the first power consumption management system 13 and the second power consumption management system 12 in real time.

[0147] In this embodiment, after the first power management system 13 and the second power management system 12 complete their respective power data collection, processing and analysis, they will send the analysis results to the mobile terminal. After receiving the data, the mobile terminal will present the information to the user in an intuitive and easy-to-understand manner, such as in the form of charts, reports or real-time data updates.

[0148] Managers can view the power consumption data analysis results of the two systems in real time through mobile terminals, and understand the operating status, energy consumption, abnormal warning and other information of power-consuming equipment. At the same time, managers can also remotely control and operate the power management system through mobile terminals, such as setting power consumption parameters and adjusting power consumption strategies.

[0149] From the above, it can be concluded that managers can view the power consumption data analysis results in real time and conveniently, quickly understand the operation and energy consumption status of power-consuming equipment, and provide strong support for decision-making. Secondly, through remote control via mobile terminals, managers can adjust power consumption parameters and strategies anytime and anywhere to improve management efficiency. Finally, this real-time, remote management method also helps to respond to and handle abnormal situations in a timely manner, ensure power safety, and reduce potential risks.

[0150] Corresponding to the above-mentioned smart and safe electricity comprehensive management and control platform, Figure 2 A flowchart of a smart and safe electricity management method provided in one embodiment of the present disclosure. The smart and safe electricity management method is applied to a smart and safe electricity integrated management and control platform;

[0151] The smart and safe electricity integrated management and control platform includes the first electricity management system, the second electricity management system and the client electricity management equipment;

[0152] Smart and safe electricity management methods include:

[0153] S101: Collecting first power usage data, and sending second power usage data to a second power usage management system within a first time period, wherein the first power usage data includes power usage data of users in different areas within a preset time period, and the second power usage data is power usage data after processing the first power usage data;

[0154] S102: determining whether the first duration is reasonable based on the second power usage data, and sending the second power usage data to the first power usage management system;

[0155] S103: Performing power consumption control based on the second power consumption data.

[0156] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure.

Claims

1. A smart and safe electricity integrated management and control platform, characterized in that: include: A first power management system, a second power management system, and a client power management device; The client power management device is connected to the second power management system and is used to collect first power usage data and send second power usage data to the second power management system within a first time period, wherein the first power usage data includes power usage data of users in different areas within a preset time period, and the second power usage data is power usage data after processing the first power usage data; The second power usage management system is connected to the first power usage management system, and is used to determine whether the first duration is reasonable based on the second power usage data, and send the second power usage data to the first power usage management system; Each data in the first electricity consumption data corresponds to a label category; The tag category indicates the area to which the power consumption data belongs. If the tag category is a key area, it means that the power consumption data is collected by the client power consumption management device from the key area; If the tag category is a regular area, it means that the power consumption data is data collected by the client power consumption management device from the regular area; The determining whether the first duration is reasonable based on the second power usage data includes: The second power consumption management system calculates a second duration according to the first power consumption data and the tag category; If the first duration is less than or equal to the second duration, the first duration is determined to be reasonable; if the first duration is greater than the second duration, the first duration is determined to be unreasonable; There are multiple power management devices on the client side; The smart and safe electricity integrated management and control platform also includes: When the first duration is unreasonable, the second power management system sends an instruction to the client power management device to control the client power management device to re-process the first power data; The time length used by the client power management device to reprocess the first power consumption data is a third time length; If the third duration is equal to the first duration, and the data volume of the second power usage data analyzed by the second power usage management system does not match the label category, the third duration is determined to be reasonable; if the third duration is not equal to the first duration, and the data volume of the second power usage data analyzed by the second power usage management system does not match the label category, the third duration is determined to be unreasonable; If the third duration is reasonable, the second power management system sends the second power usage data to the first power management system; If the third duration is unreasonable, the second power management system marks the client power management device as a faulty device, and sends the second power usage data and the marking information of the faulty device to the first power management system; The first power consumption management system is used to perform power consumption control based on the second power consumption data; The first electricity consumption management system is further used to perform a random check on the first electricity consumption data; Each data in the first power consumption data corresponds to a label category, and the label category includes a key area and a regular area; The first power consumption management system is further used to perform a random check on the first power consumption data, including: The first power management system uses a first sampling frequency to sample first power data of a key area with a tag type, and the first power management system uses a second sampling frequency to sample first power data of a regular area with a tag type; The first power management system is further used to detect first power data collected by all client power management devices marked as faulty devices; The first sampling frequency is greater than the second sampling frequency.

2. The smart and safe electricity integrated management and control platform according to claim 1, characterized in that: Each first power consumption data corresponds to a load characteristic; The second power management system is further used to determine whether the first duration is reasonable based on the similarity between the load characteristics and the standard characteristics.

3. The smart and safe electricity integrated management and control platform according to claim 2, characterized in that: Each first power consumption data corresponds to a label category, and the label category includes a key area and a regular area; The determining whether the first duration is reasonable according to the similarity between the load characteristic and the standard characteristic includes: Calculating similarity according to the load feature, the standard feature, the tag category and a first formula; The first formula includes: Among them, X represents the similarity between the load characteristics and the standard characteristics, M0 represents the number of key areas, M represents the number of key areas and conventional areas; X1 represents When , the similarity between the load characteristics and the standard characteristics; X2 represents When , the similarity between the load feature and the standard feature; a is a positive number.

4. The smart and safe electricity integrated management and control platform as claimed in claim 3 is characterized in that: Also includes: X1 is calculated by a second formula, wherein the second formula includes: Among them, X i represents the i-th load characteristic, Y j represents the jth standard feature of the conventional area, m represents the number of standard features of the conventional area, n represents the number of load features, m and n are positive integers, and b is a positive number; X2 is calculated by a third formula, the third formula comprising: Among them, A i represents the weight coefficient of each load characteristic in the key area, X i represents the i-th load characteristic, Y p represents the pth standard feature of the key area, Y j represents the jth standard feature of the conventional area, m represents the number of standard features of the conventional area, n represents the number of load features, l represents the number of standard features of the key area, m, n, l are positive integers, b is a positive number, m <l。 5. The smart and safe electricity integrated management and control platform according to claim 1, characterized in that: Also includes: Early warning systems; The early warning system is connected to the second electricity management system.

6. The smart and safe electricity integrated management and control platform according to claim 1, characterized in that: Also includes: Mobile terminals; The mobile terminal is connected to the first power management system and the second power management system respectively; The mobile terminal is used for management personnel to view the power consumption data analysis results of the first power consumption management system and the second power consumption management system in real time.

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