Electrical equipment data monitoring and analyzing method based on Internet of Things

Abstract

The invention discloses an electrical equipment data monitoring and analyzing method based on the Internet of Things, and relates to the technical field of equipment data monitoring. According to the electrical equipment data monitoring and analysis method based on the Internet of Things, invalid data in the operation data is eliminated according to the abnormal state that the operation data is not in the standard data interval, data which does not affect the electrical equipment is eliminated, the accuracy of electrical equipment data monitoring can be enhanced, and the accuracy of electrical equipment data monitoring is improved. The fixed time is used as the basic maintenance time of the electrical equipment, and the maintenance time of the electrical equipment is adjusted according to the maintenance result, so that the maintenance pre-judgment can be made according to the maintenance time of the electrical equipment, the maintenance is prevented from being carried out when problems occur, and different adjustments are reasonably carried out according to different change modes of the maintenance time; and the two types of equipment are uniformly maintained according to non-fixed time, so that the maintenance efficiency of the equipment can be effectively enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment data monitoring, and in particular to an electrical equipment data monitoring and analysis method based on the Internet of Things. Background Art

[0002] Refer to the Chinese patent "A System and Method for Monitoring and Analyzing Electrical Equipment Data Based on the Internet of Things" (Announcement No.: CN118734174A, Announcement Date: 2024-10-01). This patent uses big data technology to collect data on the working time and the number of previous faults of different electrical equipment, and combines the running time data and historical fault number data to analyze the status index of the electrical equipment. By dividing the equipment into three categories according to the size of the status index, taking into account that random classification may result in unclear classification effect and inability to distinguish the three categories of electrical equipment to the greatest extent, the optimal classification method is selected by calculating the goodness metric value, and the classification method with the highest metric value is selected as the optimal classification method. The results obtained by the optimal classification method are used to select appropriate maintenance methods for the three categories of equipment, thereby improving the purposefulness and rationality of maintenance method planning, planning targeted maintenance methods for electrical equipment, and effectively avoiding the problem of excessive maintenance, that is, the problem that the equipment itself has no faults but the effective utilization time of the equipment is lost or even new faults are caused due to planned regular maintenance work.

[0003] However, the existing electrical equipment data monitoring and analysis method based on the Internet of Things still has other defects. For example: when monitoring and analyzing electrical equipment data in the existing technology, real-time collection of electrical equipment operation data is adopted, and the status of the electrical equipment is monitored by comparing whether the operation data is within the set range. However, some of the jumping floating data are actually invalid data. Statistics of all of them will affect the accuracy of electrical equipment data monitoring, and the maintenance time of electrical equipment is a fixed time, which causes some electrical equipment to continue to fail before the fixed maintenance time. At the least, it affects the production progress, and at worst, it causes data loss. The maintenance time of the electrical equipment cannot be adjusted according to the maintenance results, and the maintenance prediction cannot be made according to the maintenance time of the electrical equipment. There is a lack of adaptive adjustment ability for electrical equipment fault maintenance. At the same time, the electrical equipment is repaired one by one according to time, and the maintenance efficiency of the electrical equipment is low. For this reason, the present invention proposes an electrical equipment data monitoring and analysis method based on the Internet of Things to solve the above-mentioned problems. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In view of the shortcomings of the existing technology, the present invention provides an electrical equipment data monitoring and analysis method based on the Internet of Things, which solves the problems mentioned in the above background technology.

[0006] (2) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for monitoring and analyzing electrical equipment data based on the Internet of Things, specifically comprising the following steps:

[0008] Step 1: Collecting operating data of the electrical equipment, setting a standard data interval based on the operating data, and analyzing the status of the electrical equipment based on whether the operating data is within the standard data interval, wherein the status is specifically classified as normal or abnormal;

[0009] Then, according to the abnormal state that the operating data is not within the standard data interval, invalid data in the operating data is eliminated;

[0010] Step 2: Based on the abnormal data of the electrical equipment, when the abnormal data causes the electrical equipment to be repaired, the repair time is non-fixed. When the repair is carried out according to the production recommended repair time of the electrical equipment, the repair time is fixed.

[0011] The fixed time is used as the basic maintenance time of the electrical equipment, and when the non-fixed time is within the fixed time, the maintenance time of the electrical equipment is adjusted according to the maintenance result;

[0012] Step 3: After adjusting the maintenance time of the electrical equipment in step 2, the electrical equipment is divided into Class I equipment and Class II equipment, and the Class I equipment is maintained according to the fixed time or non-fixed time, and the Class II equipment is uniformly maintained according to the non-fixed time.

[0013] As an improved technical solution, in step 1, the specific method of analyzing the state of the electrical device according to whether the operating data is within the standard data interval is:

[0014] S1: First, record the operating data as Su, where Su is a floating value, and record the central value of the operating data Su as ZSu. Then set the floating threshold and record it as Fg. At this time, record the standard data interval as (ZSu-Fg, ZSu+Fg), where Fg is greater than the floating range of the central value of Su. When Su belongs to (ZSu-Fg, ZSu+Fg), the electrical equipment is in a normal state. When Su does not belong to (ZSu-Fg, ZSu+Fg), the electrical equipment is in an abnormal state.

[0015] As an improved technical solution, in step 1, the specific method of eliminating invalid data in the operating data according to the abnormal state that the operating data is not within the standard data interval is:

[0016] S11: When the operating data Su does not belong to (ZSu-Fg, ZSu+Fg), the data display time when Su does not belong to (ZSu-Fg, ZSu+Fg) is recorded as TA, and then the standard time value TB is set. When TA≥TB, the electrical equipment is in an abnormal state. When TA<TB, the electrical equipment is in a normal state.

[0017] S12: Then within the standard time value TB, if the data Su does not belong to (ZSu-Fg, ZSu+Fg) appears more than m times and TA<TB, the electrical equipment is in an abnormal state.

[0018] As an improved technical solution, in step 2, when the non-fixed time is within the fixed time, the specific method of adjusting the maintenance time of the electrical equipment according to the maintenance result is:

[0019] P1: With fixed time as TR, when the use time of electrical equipment reaches TR, the electrical equipment is repaired as required. With non-fixed time as Tn, n is the sequence number of the non-fixed time. When time Tn is within time TR, it means that the electrical equipment has a fault within the production recommended maintenance time, and the electrical equipment is repaired according to the fault.

[0020] P2: Then collect the non-fixed time Tn and analyze the state of Tn. If Tn is in a state of continuous increase until it approaches the fixed time TR, the time for electrical equipment maintenance is ST, which is calculated according to the formula , where j is the final number of occurrences of n, and GT is the set floating days.

[0021] As an improved technical solution, if Tn in P2 is in a continuously decreasing or floating state, and the minimum number of days is recorded as MT, the time for maintenance of the electrical equipment is QST, QST=MT-GT, and GT is the set floating number of days.

[0022] As an improved technical solution, in step 3, the first type of equipment is overhauled according to the fixed time or the non-fixed time, and the second type of equipment is overhauled uniformly according to the non-fixed time in a specific manner as follows:

[0023] M1: First, if electrical equipment is not overhauled twice at the fixed time TR, it is marked as Class II equipment. Then, other electrical equipment is marked as Class I equipment. Class I equipment is overhauled at time TR, or at time ST or QST. The specific overhaul time of Class II equipment can be calculated according to step 2. Among several times ST or QST, the one with the smallest value is selected to overhaul all Class II equipment.

[0024] As an improved technical solution, if the Class II equipment in M1 reaches the maintenance time TR for two consecutive times, it will be converted from Class II equipment to Class I equipment.

[0025] As an improved technical solution, the method further includes step four: when performing maintenance on electrical equipment, the number of maintenance personnel is at least 2, and at least one of the maintenance personnel is a power switch controller. After the power switch controller cuts off the power, the other maintenance personnel perform the maintenance work.

[0026] (3) Beneficial effects

[0027] The present invention provides an electrical equipment data monitoring and analysis method based on the Internet of Things. Compared with the existing technology, it has the following advantages:

[0028] This electrical equipment data monitoring and analysis method based on the Internet of Things can enhance the accuracy of electrical equipment data monitoring by eliminating invalid data in the operating data according to abnormal conditions in which the operating data is not within the standard data range, and eliminating data that has no impact on the electrical equipment. In addition, a fixed time is used as the basic maintenance time of the electrical equipment, and the maintenance time of the electrical equipment is adjusted according to the maintenance results. Not only can maintenance predictions be made based on the maintenance time of the electrical equipment to avoid maintenance when problems occur, but also different adjustments can be made reasonably according to the different ways in which the maintenance time changes. In conjunction with the unified maintenance of the second type of equipment according to non-fixed time, the maintenance efficiency of the equipment can be effectively enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is a flow chart of a method for monitoring and analyzing electrical equipment data based on the Internet of Things, according to an embodiment of the present application;

[0030] Figure 2 This is a schematic diagram of the structure of an electronic device shown in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0032] See also Figure 1-Figure 2 , the embodiment of the present invention provides four technical solutions:

[0033] Example 1

[0034] A method for monitoring and analyzing electrical equipment data based on the Internet of Things, specifically comprising the following steps:

[0035] Step 1: Collecting operating data of the electrical equipment, setting a standard data interval based on the operating data, analyzing the status of the electrical equipment based on whether the operating data is within the standard data interval, wherein the status is specifically classified as normal or abnormal; and then eliminating invalid data in the operating data based on abnormal status where the operating data is not within the standard data interval;

[0036] The specific method for analyzing the status of electrical equipment based on whether the operating data is within the standard data range is as follows:

[0037] S1: First, record the operating data as Su, where Su is a floating value, and record the central value of the operating data Su as ZSu. Then set the floating threshold and record it as Fg. At this time, record the standard data interval as (ZSu-Fg, ZSu+Fg), where Fg is greater than the floating range of the central value of Su. When Su belongs to (ZSu-Fg, ZSu+Fg), the electrical equipment is in a normal state. When Su does not belong to (ZSu-Fg, ZSu+Fg), the electrical equipment is in an abnormal state.

[0038] Combined with specific example analysis, taking the central value ZSu as 200 and Fg as 20 as an example, at this time (ZSu-Fg, ZSu+Fg) is specifically (180, 220). When Su belongs to (180, 220), the electrical equipment is in normal state. When Su does not belong to (180, 220), the electrical equipment is in abnormal state and needs to be repaired.

[0039] The specific method of eliminating invalid data in the operating data according to the abnormal state that the operating data is not within the standard data range is:

[0040] S11: When the operating data Su does not belong to (ZSu-Fg, ZSu+Fg), the data display time when Su does not belong to (ZSu-Fg, ZSu+Fg) is recorded as TA, and then the standard time value TB is set. When TA≥TB, the electrical equipment is in an abnormal state. When TA<TB, the electrical equipment is in a normal state. S12: Then within the standard time value TB, if the data Su does not belong to (ZSu-Fg, ZSu+Fg) appears more than m times and TA<TB, the electrical equipment is in an abnormal state.

[0041] Combined with the specific example analysis, taking the central value ZSu as 200 and Fg as 20 as an example, when the value of Su jumps to 300, the time TA is 3s, the time TB is 10s, TA<TB, the electrical equipment is in normal state. If in this process, m is 3, the value of Su jumps to 300, and the time occurs 3 times or more within 10s, even if TA<TB is satisfied, the electrical equipment is in abnormal state and needs to be repaired.

[0042] Step 2: Based on the abnormal data of the electrical equipment, when the abnormal data causes the electrical equipment to be repaired, the repair time is non-fixed. When the repair is carried out according to the production recommended repair time of the electrical equipment, the repair time is fixed.

[0043] The fixed time is used as the basic maintenance time of the electrical equipment, and when the non-fixed time is within the fixed time, the maintenance time of the electrical equipment is adjusted according to the maintenance result;

[0044] When the non-fixed time is within the fixed time, the specific method of adjusting the maintenance time of the electrical equipment according to the maintenance results is as follows:

[0045] P1: With fixed time as TR, when the use time of the electrical equipment reaches TR, the electrical equipment is repaired as required. With non-fixed time as Tn, n is the sequence number of the non-fixed time. When time Tn is within time TR, it means that the electrical equipment has a fault within the production recommended maintenance time. At this time, the electrical equipment is repaired according to the fault. P2: Then collect the non-fixed time Tn and analyze the state of Tn. If Tn is in a state of continuous increase until it approaches the fixed time TR, the time for the electrical equipment to be repaired is ST, which is calculated according to the formula , where j is the final number of occurrences of n, and GT is the set floating days; if Tn in P2 is in a continuously decreasing or floating state, and the minimum number of days is recorded as MT, the time for electrical equipment maintenance is QST, QST=MT-GT, and GT is the set floating days.

[0046] Combined with the specific example analysis, take one of the electrical equipment with a fixed time TR of 20 days as an example, and the time T1 when the non-fixed time Tn first appears is 15 days. Since 15 days is within 20 days, the electrical equipment needs to be repaired on the 15th day if it has not reached the fixed time of 20 days. Then the floating days GT is set to 2 days. In this way, according to the formula , it can be concluded that the next time for maintenance is 13 days, and the inspection and maintenance can be completed after 13 days. For example, the time T1 when the non-fixed time Tn appears for the second time is 17 days. According to the formula , we can conclude that the second time required for maintenance is , ST is 14 days. By analogy, if the maintenance time Tn is reduced, for example, it is 15 days, then according to the method of QST=15-2, the QST is 13 days.

[0047] Example 2

[0048] This embodiment is based on the first embodiment, and differs from the first embodiment in that it further includes step three: after adjusting the maintenance time of the electrical equipment in step two, the electrical equipment is divided into Class I equipment and Class II equipment, and Class I equipment is maintained at a fixed time or a non-fixed time, and then Class II equipment is uniformly maintained at a non-fixed time.

[0049] In step 3, the specific method for inspecting the first type of equipment according to fixed or irregular time and then inspecting the second type of equipment at irregular time is as follows:

[0050] M1: First, if electrical equipment is not overhauled at the fixed time TR twice, it will be marked as Class II equipment. Then, other electrical equipment will be marked as Class I equipment. Class I equipment is overhauled at time TR, or at time ST or QST. The specific overhaul time of Class II equipment can be calculated according to step 2. Among several times ST or QST, the one with the smallest value is taken to overhaul all Class II equipment. In M1, if Class II equipment reaches the fixed time TR for overhaul twice in a row, it will be converted from Class II equipment to Class I equipment.

[0051] Based on a specific example analysis, if a piece of electrical equipment undergoes maintenance twice within a fixed time TR, it is marked as a Class II device. The number of Class II devices is counted. When one or more Class II devices require maintenance the most recently, the maintenance time of the remaining Class II devices is advanced and all repairs are performed simultaneously. If a fault is repaired once or 0 times within the fixed time TR, it is marked as a Class I device. Class I devices can be repaired normally according to the set fixed time or the next calculated maintenance time. As the Class II devices undergo maintenance, the maintenance time of some electrical equipment becomes longer and longer until the fixed time TR is reached twice in a row. At this point, the Class II device is converted to a Class I device. It should be noted that Class II devices account for a very small proportion of the total operating time, with single-digit units as the measurement unit, such as 2-3 units.

[0052] Example 3

[0053] Compared with Example 1 and Example 2, and the difference from Example 1 and Example 2 is that it also includes step 4: when repairing electrical equipment, the number of maintenance personnel is at least 2 people, and at least one of the maintenance personnel is a power switch control personnel. After the power switch control personnel cuts off the power, the other maintenance personnel perform the maintenance work.

[0054] Example 4

[0055] A method for monitoring and analyzing electrical equipment data based on the Internet of Things, specifically comprising the following steps:

[0056] Step 1: Collecting operating data of the electrical equipment, setting a standard data interval based on the operating data, analyzing the status of the electrical equipment based on whether the operating data is within the standard data interval, wherein the status is specifically classified as normal or abnormal; and then eliminating invalid data in the operating data based on abnormal status where the operating data is not within the standard data interval;

[0057] Step 2: Based on abnormal data of the electrical equipment, when the abnormal data causes the electrical equipment to be repaired, the repair time is a non-fixed time; when the repair is carried out according to the production recommended repair time of the electrical equipment, the repair time is a fixed time; the fixed time is used as the basic repair time of the electrical equipment, and when the non-fixed time is within the fixed time, the repair time of the electrical equipment is adjusted according to the repair result;

[0058] Step 3: After adjusting the maintenance time of the electrical equipment in step 2, the electrical equipment is divided into Class I equipment and Class II equipment, and the Class I equipment is maintained according to the fixed time or the non-fixed time, and the Class II equipment is uniformly maintained according to the non-fixed time;

[0059] Step 4: When inspecting electrical equipment, the number of inspectors is at least 2, and at least one of the inspectors is a power switch controller. After the power switch controller cuts off the power, the other inspectors perform the inspection work.

[0060] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0061] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0062] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

[0063] Corresponding to the aforementioned application function implementation method embodiment, the present application also provides an electronic device and corresponding embodiments.

[0064] See also Figure 2 , the electronic device 1000 includes a memory 1010 and a processor 1020.

[0065] The processor 1020 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0066] Memory 1010 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage. ROM may store static data or instructions required by processor 1020 or other computer modules. Permanent storage may be a readable and writable storage device. Permanent storage may be a non-volatile storage device that retains stored instructions and data even when the computer is powered off. In some embodiments, the permanent storage device utilizes a mass storage device (e.g., a magnetic or optical disk, flash memory). In other embodiments, the permanent storage device may be a removable storage device (e.g., a floppy disk, optical drive). System memory may be a readable and writable storage device or a volatile readable and writable storage device, such as dynamic random access memory (DRAM). System memory may store some or all instructions and data required by the processor during operation. Furthermore, memory 1010 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), as well as magnetic disks and / or optical disks. In some embodiments, the memory 1010 may include a readable and / or writable removable storage device, such as a compact disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0067] The memory 1010 stores executable codes. When the executable codes are processed by the processor 1020 , the processor 1020 may execute part or all of the above-mentioned methods.

[0068] The scheme of the present application has been described in detail above with reference to the accompanying drawings. In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. Those skilled in the art should also be aware that the actions and modules involved in the description are not necessarily required for this application. In addition, it is understood that the steps in the method of the embodiment of the present application can be adjusted in order, combined, and deleted according to actual needs, and the modules in the device of the embodiment of the present application can be combined, divided, and deleted according to actual needs.

[0069] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.

[0070] Alternatively, the present application can also be implemented as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) on which executable code (or computer program, or computer instruction code) is stored. When the executable code (or computer program, or computer instruction code) is executed by a processor of an electronic device (or electronic device, server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.

[0071] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the application herein may be implemented as electronic hardware, computer software, or combinations of both.

[0072] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems and methods according to multiple embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a part of a module, program segment or code, and the part of the module, program segment or code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0073] The embodiments of the present application have been described above. The above description is illustrative and not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, their practical applications, or improvements to the technology in the market, or to enable other persons skilled in the art to understand the embodiments disclosed herein.

Claims

1. A method for monitoring and analyzing electrical equipment data based on the Internet of Things, characterized in that: The specific steps include: Step 1: Collecting operating data of the electrical equipment, setting a standard data interval based on the operating data, and analyzing the status of the electrical equipment based on whether the operating data is within the standard data interval, wherein the status is specifically classified as normal or abnormal; Then, according to the abnormal state that the operating data is not within the standard data interval, invalid data in the operating data is eliminated; Step 2: Based on the abnormal data of the electrical equipment, when the abnormal data causes the electrical equipment to be repaired, the repair time is non-fixed. When the repair is carried out according to the production recommended repair time of the electrical equipment, the repair time is fixed. The fixed time is used as the basic maintenance time of the electrical equipment, and when the non-fixed time is within the fixed time, the maintenance time of the electrical equipment is adjusted according to the maintenance result; Step 3: After adjusting the maintenance time of the electrical equipment in step 2, the electrical equipment is divided into Class I equipment and Class II equipment, and the Class I equipment is maintained according to the fixed time or non-fixed time, and the Class II equipment is uniformly maintained according to the non-fixed time.

2. The method for monitoring and analyzing electrical equipment data based on the Internet of Things according to claim 1, characterized in that: The specific method of analyzing the state of the electrical equipment according to whether the operating data is within the standard data interval in step 1 is: S1: First, record the operating data as Su, where Su is a floating value, and record the central value of the operating data Su as ZSu. Then set the floating threshold and record it as Fg. At this time, record the standard data interval as (ZSu-Fg, ZSu+Fg), where Fg is greater than the floating range of the central value of Su. When Su belongs to (ZSu-Fg, ZSu+Fg), the electrical equipment is in a normal state. When Su does not belong to (ZSu-Fg, ZSu+Fg), the electrical equipment is in an abnormal state.

3. The method for monitoring and analyzing electrical equipment data based on the Internet of Things according to claim 2, characterized in that: In step 1, the specific method of eliminating invalid data in the operating data according to the abnormal state that the operating data is not within the standard data interval is: S11: When the operating data Su does not belong to (ZSu-Fg, ZSu+Fg), the data display time when Su does not belong to (ZSu-Fg, ZSu+Fg) is recorded as TA, and then the standard time value TB is set. When TA≥TB, the electrical equipment is in an abnormal state. When TA<TB, the electrical equipment is in a normal state. S12: Then within the standard time value TB, if the data Su does not belong to (ZSu-Fg, ZSu+Fg) appears more than m times and TA<TB, the electrical equipment is in an abnormal state.

4. The method for monitoring and analyzing electrical equipment data based on the Internet of Things according to claim 1, wherein: When the non-fixed time is within the fixed time in step 2, the specific method of adjusting the maintenance time of the electrical equipment according to the maintenance result is: P1: With fixed time as TR, when the use time of electrical equipment reaches TR, the electrical equipment is repaired as required. With non-fixed time as Tn, n is the sequence number of the non-fixed time. When time Tn is within time TR, it means that the electrical equipment has a fault within the production recommended maintenance time, and the electrical equipment is repaired according to the fault. P2: Then collect the non-fixed time Tn and analyze the state of Tn. If Tn is in a state of continuous increase until it approaches the fixed time TR, the time for electrical equipment maintenance is ST, which is calculated according to the formula , where j is the final number of occurrences of n, and GT is the set floating days.

5. The method for monitoring and analyzing electrical equipment data based on the Internet of Things according to claim 4, characterized in that: If Tn in P2 is in a continuously decreasing or floating state, and the minimum number of days is recorded as MT, the time for electrical equipment maintenance is QST, QST=MT-GT, GT is the set floating number of days.

6. The method for monitoring and analyzing electrical equipment data based on the Internet of Things according to claim 5, characterized in that: In step 3, the first type of equipment is overhauled according to the fixed time or the non-fixed time, and the second type of equipment is overhauled uniformly according to the non-fixed time. The specific method is: M1: First, if electrical equipment is not overhauled twice at the fixed time TR, it is marked as Class II equipment. Then, other electrical equipment is marked as Class I equipment. Class I equipment is overhauled at time TR, or at time ST or QST. The specific overhaul time of Class II equipment can be calculated according to step 2. Among several times ST or QST, the one with the smallest value is selected to overhaul all Class II equipment.

7. The method for monitoring and analyzing electrical equipment data based on the Internet of Things according to claim 6, characterized in that: If the Class II equipment in M1 reaches the fixed time TR for maintenance twice in a row, it will be converted from Class II equipment to Class I equipment.

8. The method for monitoring and analyzing electrical equipment data based on the Internet of Things according to claim 1, characterized in that: It also includes step four: when repairing electrical equipment, the number of repair personnel is at least 2, and at least one of the repair personnel is a power switch controller. After the power switch controller cuts off the power, the other repair personnel perform the repair work.

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