High-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis

Abstract

The invention discloses a high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis, and relates to the technical field of power distribution control cabinet monitoring. The branch acquisition module is used for acquiring branch data of output electric quantity of a target control cabinet to obtain a branch set, the branch set at least comprises two branch items, the output distribution condition of the target control cabinet on input electric quantity is acquired, and the output electric quantity is independently analyzed; and the electric quantity acquisition module is used for setting a first acquisition threshold value, respectively acquiring the electric quantity use data of the branch items in the first acquisition threshold value, and obtaining at least two groups of electric quantity data items through a matching method. According to the invention, different limit ranges are respectively matched according to different branches, different branches are respectively monitored according to different limit ranges, and when the branch electric quantity use data exceed the allocated limit range, alarm data are output, so that the effect of monitoring the independent limit of different branches is realized, the limit range is independently matched for each branch, the pertinence is stronger, and the efficiency is higher. And a multi-terminal analysis effect is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution control cabinet monitoring, and in particular to a high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis. Background Art

[0002] A high-voltage power distribution control cabinet is an electrical equipment used in a high-voltage power distribution system. It is mainly used to receive, distribute and control electrical energy. It usually contains components such as circuit breakers, fuses, switches, instruments, and protective devices to monitor, protect and control power equipment. Its main functions include distributing high-voltage power to different loads or equipment, and ensuring that the system and equipment will not be damaged under abnormal circumstances through functions such as short-circuit protection and overload protection. Since there are potential safety risks during the operation of high-voltage equipment, monitoring can promptly detect abnormal situations such as short circuits and overloads to prevent accidents. By monitoring the operating status, the health status of the equipment can be evaluated and potential faults can be discovered in advance. Therefore, it is very important to monitor the operation of the high-voltage power distribution control cabinet.

[0003] A distribution network substation equipment grounding operation status monitoring system with patent publication number CN110275088A includes a lightning arrester, a transformer, a JP cabinet, a control cabinet, a graphite grounding strip, an electrical terminal, and a monitoring system. The lightning arrester, transformer, JP cabinet, control cabinet, graphite grounding strip, and electrical terminal are all connected to the monitoring system; each module cooperates closely with the logic to form an efficient monitoring network, which ensures the effectiveness and safety of the grounding operation of the entire distribution network substation equipment, and has a higher degree of intelligence and automation, and realizes real-time monitoring of lightning arrester current, graphite grounding strip resistance, JP cabinet surface current, and graphite grounding strip current. It is efficient and accurate, responds quickly, and has a high degree of real-time monitoring. The PC client can evaluate the monitoring results and take emergency measures, ensuring the high safety of the distribution network substation equipment.

[0004] The above and similar technical solutions need to monitor the input and output power of the control cabinet normally within the rated range when monitoring the operation of the high-voltage power distribution control cabinet. When the control cabinet is used in the factory area, the factory will have peak and low power consumption periods in different time periods. During the peak and low power consumption periods, the input and output power monitored by the control cabinet will fluctuate, which will cause the monitored input and output power to exceed the rated range, causing false alarms. In addition, when the control cabinet is used in the factory, it will distribute power to different areas, and there will be certain differences in power consumption in different areas, which will cause certain interference to the input and output power monitoring of the control cabinet, resulting in poor monitoring accuracy. Summary of the invention

[0005] The purpose of the present invention is to provide a high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis, comprising:

[0007] Branch acquisition module: obtains the branch data of the output power of the target control cabinet, obtains a branch set, and the branch set includes at least two branch items, obtains the output distribution of the target control cabinet to the input power, and analyzes the output power separately;

[0008] Power acquisition module: set a first acquisition threshold, respectively acquire power usage data of branch items within the first acquisition threshold, obtain at least two groups of power data items through a matching method, and obtain a power trend chart;

[0009] Quota allocation module: allocates different quota ranges to branch items through allocation methods, monitors the power usage data of branch items respectively, and outputs alarm data when the power usage data of branch items exceeds the allocated quota range;

[0010] The quota adjustment module: set the second acquisition threshold, obtain the average power data of the branch item within the second acquisition threshold, obtain the branch average item, divide the factory area into at least two levels through the division method, obtain the factory level item, set the value-added item, the value-added item corresponds to the factory area level item, adjust the quota range based on the value-added item, obtain the quota adjustment item, and improve the accurate monitoring of the input and output power of the control cabinet;

[0011] The allocation method includes:

[0012] Step 1: Threshold setting, setting the fluctuation threshold, and creating at least two rated range change items based on the combination of the power trend chart and the fluctuation threshold;

[0013] Step 2: Range matching: the rated range change items are matched with the branch items respectively to obtain different rated range changes of different electric quantities corresponding to different branch items;

[0014] Step 3: Data matching, obtaining real-time time data, obtaining real-time time items, and based on the combination of the rated range change item and the real-time time item, obtaining at least two target rated ranges, which correspond to the branch items respectively, and then allocating different quota ranges to the branch items.

[0015] Furthermore, the method for setting the fluctuation threshold includes:

[0016] S1: setting a third acquisition threshold, and based on the third acquisition threshold, acquiring the highest value and the lowest value of the branch item within the third acquisition threshold, to obtain a peak item and a trough item;

[0017] S2: average value acquisition, acquiring an average power value of the branch item within a third acquisition threshold, and obtaining a plurality of power average items, wherein the power average items correspond to the peak items and the trough items respectively;

[0018] S3: obtaining increase and decrease values, based on the ratio of the peak item and the trough item to the corresponding average item of electric quantity, obtaining a plurality of high electric quantity ratio items and a plurality of low electric quantity ratio items;

[0019] S4: Determine the threshold value, respectively obtain the average value of the high power ratio item and multiple low power ratio items, obtain the extremely high item and the extremely low item, and then obtain the fluctuation threshold value according to the extremely high item and the extremely low item.

[0020] Furthermore, the method for obtaining the extremely high items and the extremely low items includes: setting elimination items, setting the elimination range, judging whether the average values ​​of the high power ratio items and the low power ratio items exceed the elimination range, and when there are individuals exceeding the elimination range in the high power ratio items and the low power ratio items, taking the individuals exceeding the elimination range as elimination items, obtaining the high power screening ratio items and the low power screening ratio items, obtaining the average values ​​of the high power screening ratio items and the low power screening ratio items, and obtaining the extremely high items and the extremely low items.

[0021] Furthermore, the matching method includes: time division, based on a first acquisition threshold, setting a first time node, the number of first time nodes is at least two, obtaining a first time node item, obtaining power data of branch items based on the first time node item respectively, obtaining at least two sets of power data, and then obtaining a power data item.

[0022] Furthermore, the method for obtaining the first time node item includes: uniform division, based on the first acquisition threshold, the first acquisition threshold is evenly divided into a target number, the number of first time nodes is the same as the target number, the first time nodes whose number is the target number are evenly distributed in the first acquisition threshold, the distribution positions of the first time nodes are obtained respectively, and the first time node items are obtained.

[0023] Furthermore, the method for obtaining the branch set includes:

[0024] M1: Destination detection: set at least two target devices to detect the destination of the power input to the target control cabinet to obtain the power destination item;

[0025] M2: Quantity acquisition: Based on the quantity information of the electricity destination item, the quantity information of the branch item is obtained, and the branch items are combined to obtain the branch set.

[0026] Furthermore, the method for obtaining the quantity information of the branch items includes: endpoint judgment, based on the electricity destination item, obtaining the end position of the electricity in the electricity destination item to obtain the electricity end point item; based on the electricity end point item, merging individuals with the same end point position in the electricity end point item to obtain a merged end point item; based on the quantity information of the merged end point item, obtaining the quantity information of the branch item.

[0027] Furthermore, the division method includes:

[0028] Z1: position acquisition, obtain the position information of the branch item and get the branch position item;

[0029] Z2: Range limitation. Based on the branch position item, the operation range of the corresponding position of the branch item is obtained to obtain the branch range item;

[0030] Z3: Average sorting: based on the obtained multiple branch average items, the branch average items are sorted to obtain branch sorting items;

[0031] Z4: Grade determination, based on branch sorting items, the branch sorting items are divided into at least two parts to obtain branch grade items, the branch grade items correspond to factory areas of different grades, and the factory grade items are obtained based on the branch range items.

[0032] Furthermore, the method for obtaining the credit adjustment item includes: matching the value-added items, matching the value-added items based on the factory level items, combining the value-added items with the branch items in the factory level items of different levels, and obtaining the credit adjustment item.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis first obtains the number of currents divided by the control cabinet through the branch acquisition module, obtains the output status of the electricity, and sets the first acquisition threshold to obtain the electricity usage data of different branches within the first acquisition threshold. Since the number of branches is multiple, the obtained electricity data items are also multiple, and multiple electricity trend charts are obtained. At this time, by setting the fluctuation threshold, the rated range change items with the same number of branches are obtained according to the obtained electricity trend chart and the fluctuation threshold, and the rated range change items of different branches in the current time state are obtained according to the time obtained in real time. Different quota ranges are matched according to different branches, and different branches are monitored according to different quota ranges. When the electricity usage data of the branch exceeds the allocated quota range, the alarm data is output, thereby realizing the separate quota monitoring effect of different branches, the monitoring accuracy is higher, the quota range is matched separately for each branch, the pertinence is stronger, and the multi-terminal analysis effect is realized.

[0035] At the same time, the average power usage of different branches within the second acquisition threshold is obtained, and the factory area is divided into three levels according to the power usage. Value-added items are set for different levels, and the quota range is adjusted according to the set value-added items, thereby improving the accurate monitoring of the input and output power of the control cabinet. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the relationship between the branch acquisition module, the power acquisition module, the quota allocation module and the quota adjustment module of the present invention;

[0037] Figure 2 It is a schematic diagram of the distribution method of the present invention;

[0038] Figure 3 It is a schematic diagram of a branch item of the present invention;

[0039] Figure 4 It is a schematic diagram of the electric quantity trend chart of the present invention;

[0040] Figure 5 A schematic diagram of the relationship between the real-time time item and the credit limit range of the present invention;

[0041] Figure 6 This is a schematic diagram of sorting average power values ​​of the present invention;

[0042] Figure 7 It is a schematic diagram of the factory area level of the present invention;

[0043] Figure 8 It is a schematic diagram for matching different value-added items of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0045] By using sensors such as current sensors, temperature sensors, and humidity sensors to monitor the operating status inside the electrical cabinet in real time, and transmitting the monitoring data to the central monitoring system through a data acquisition system for analysis and processing, the health status of the equipment can be evaluated, potential faults can be discovered in advance, and the reliability and stability of the system can be improved. However, in the monitoring process, the monitored data will fluctuate with the use of electricity, and the amplitude of the fluctuation will change with time, which will cause certain interference to the monitoring work. The technical solution provided in the present application first obtains the branching situation of the control cabinet for the output power, obtains a branch set, and the branch set includes at least two branch items, sets a first acquisition threshold, and obtains power usage data of different branch items within the first acquisition threshold to obtain at least two power trend charts, sets a fluctuation threshold, and based on the power trend chart, obtains The combination result of the trend diagram and the fluctuation threshold is used to create at least two rated range change items, and the rated range change items are matched with the branch items respectively. Based on the combination result of the real-time time data and the rated range change items, different rated ranges are matched for each branch item, thereby achieving the effect of separately adjusting the rated ranges of different branches, thereby making the monitoring effect of the control cabinet more accurate, and setting a second acquisition threshold to obtain the average power usage data of different branch items within the second acquisition threshold respectively, to obtain at least two branch average values, and dividing the factory area into at least three levels through a division method, and dividing the branch average values ​​into levels, setting value-added items corresponding to factory areas of different levels, and based on the combination result of the value-added items and the fluctuation threshold, setting rated ranges with different fluctuation amounts for different areas of the factory, thereby more accurately monitoring the input and output power of the control cabinet.

[0046] like Figure 1 , Figure 2 , Figure 4 and Figure 5As shown, the present invention provides a technical solution: a high-voltage distribution control cabinet operation monitoring system based on multi-terminal analysis, including: a branch acquisition module: acquiring branch data of the output power of the target control cabinet to obtain a branch set, the branch set includes at least two branch items, acquiring the output distribution of the target control cabinet to the input power, and analyzing the output power separately; a power acquisition module: setting a first acquisition threshold, respectively acquiring power usage data of the branch items within the first acquisition threshold, obtaining at least two groups of power data items through a matching method, and obtaining a power trend chart; a quota allocation module: allocating different quota ranges to the branch items through an allocation method, respectively monitoring the power usage data of the branch items, and outputting alarm data when the power usage data of the branch items exceeds the allocated quota range; a quota adjustment module: setting a second acquisition threshold, acquiring the average power data of the branch items within the second acquisition threshold According to the data, the branch average item is obtained, the factory area is divided into at least two levels through the division method, the factory level item is obtained, the value-added item is set, the value-added item corresponds to the factory area level item, the quota range is adjusted based on the value-added item, and the quota adjustment item is obtained, so as to improve the accurate monitoring of the input and output power of the control cabinet; the allocation method includes: step one: threshold setting, setting the fluctuation threshold, and creating at least two rated range change items based on the combination result of the power trend chart and the fluctuation threshold; step two: range matching, the rated range change items are matched with the branch items respectively, and different power rated range changes corresponding to different branch items are obtained; step three: data matching, obtaining real-time time data, obtaining real-time time items, and obtaining at least two target rated ranges based on the combination result of the rated range change item and the real-time time item, which correspond to the branch items respectively, and then different quota ranges are allocated to the branch items.

[0047] It should be noted that the high-voltage power distribution control cabinet used in the factory will distribute the input electricity to different areas for use after reducing the voltage. Therefore, the branch acquisition module first obtains the amount of current divided by the control cabinet, obtains the output of electricity, and sets the first acquisition threshold. The first acquisition threshold is 24h, and obtains the electricity usage data of different branches within the first acquisition threshold. Since the number of branches is multiple, the obtained electricity data items are also multiple, and multiple electricity trend charts are obtained. At this time, by setting the fluctuation threshold, the rated range change items with the same number of branches are obtained according to the obtained electricity trend chart and the fluctuation threshold, and the rated range change items of different branches under the current time state are obtained according to the time obtained in real time. At this time, different quota ranges are matched according to different branches, and different branches are monitored according to different quota ranges. When the electricity usage data of the branch exceeds the allocated quota range, alarm data is output.

[0048] In the specific implementation process, Figure 3As shown, the high-voltage power distribution control cabinet used in a factory steps down the input power and transmits it to the living area, work area and office area for use. At this time, the branch item is 3, and the power usage data of the living area, work area and office area are monitored separately within the first acquisition threshold to obtain three power trend charts. The power trend charts mark the power usage of the living area, work area and office area within 24 hours. According to the set fluctuation threshold and the real-time acquisition time, the living area, work area and office area are respectively allocated a quota range, and the power usage of the living area, work area and office area is continuously monitored. When the power usage of the living area, work area and office area exceeds the allocated quota range, alarm data is output.

[0049] It should be noted that the second acquisition threshold is set to 168h, and the average power usage of different branches within the second acquisition threshold is obtained. The factory area is divided into three levels according to the power usage, namely normal demand, medium demand, and advanced demand. Value-added items are set to 100%, 105%, and 110%, corresponding to normal demand, medium demand, and advanced demand, respectively. The quota range is adjusted according to the set value-added items, thereby improving the accurate monitoring of the input and output power of the control cabinet.

[0050] In the specific implementation process, the high-voltage power distribution control cabinet used in a factory will reduce the voltage of the input electricity and transmit it to the living area, work area and office area for use respectively. The average power usage of the living area, work area and office area of ​​the factory within the second acquisition threshold is obtained, and it is determined that the living area of ​​the factory has normal demand, the work area has high demand, and the office area has medium demand. At this time, the set value-added items are matched for the living area, work area and office area respectively, and combined with the fluctuation threshold, the quota range is reallocated.

[0051] The method for setting the fluctuation threshold includes: S1: setting a third acquisition threshold, based on the third acquisition threshold, obtaining the highest value and the lowest value of the branch item within the third acquisition threshold, and obtaining a peak item and a trough item; S2: average value acquisition, obtaining the average power value of the branch item within the third acquisition threshold, and obtaining multiple power average items, and the power average items correspond to the peak item and the trough item respectively; S3: increase and decrease value acquisition, based on the ratio of the peak item and the trough item to the corresponding power average item, obtaining multiple high power ratio items and multiple low power ratio items; S4: threshold determination, respectively obtaining the average value of the high power ratio item and the multiple low power ratio items, obtaining an extremely high item and an extremely low item, and then obtaining the fluctuation threshold according to the extremely high item and the extremely low item.

[0052] It should be noted that the third acquisition threshold is 48h. The highest and lowest values ​​of different branch items within 48 hours are obtained, and the average power value of the branch items is obtained. The highest value ratio and the lowest value ratio are determined based on the ratio of the highest value and the lowest value to the average power value. The fluctuation threshold is determined based on the average value of the obtained highest value ratio and the lowest value ratio.

[0053] In the specific implementation process, the high-voltage distribution control cabinet used in a factory reduces the voltage of the input electricity and transmits it to the living area, work area and office area for use. The highest and lowest values ​​of the three areas within the third acquisition threshold are obtained: the highest and lowest values ​​of the living area are 20kwh and 10kwh respectively, the highest and lowest values ​​of the work area are 50kwh and 10kwh respectively, and the highest and lowest values ​​of the office area are 30kwh and 10kwh respectively. The average power values ​​of the living area, work area and office area are obtained respectively. The ratios of the highest and lowest values ​​to the average power consumption in the living area, working area and office area are 15kwh, 35kwh and 20kwh, respectively: the highest value ratio in the living area is 133.33%, and the lowest value ratio is 66.66%; the highest value ratio in the working area is 142.86%, and the lowest value ratio is 28.57%; the highest value ratio in the office area is 150%, and the lowest value ratio is 50%. At this time, the average values ​​of the highest value ratio and the lowest value ratio are 142.06% and 48.41% respectively, and the fluctuation threshold is 142.06%-48.41%.

[0054] The method for obtaining extremely high items and extremely low items includes: setting elimination items, setting elimination ranges, judging whether the average values ​​of high power ratio items and low power ratio items exceed the elimination ranges, and when there are individuals exceeding the elimination ranges in the high power ratio items and low power ratio items, taking the individuals exceeding the elimination ranges as elimination items, obtaining high power screening ratio items and low power screening ratio items, obtaining the average values ​​of high power screening ratio items and low power screening ratio items, and obtaining extremely high items and extremely low items.

[0055] It should be noted that due to individual emergencies, such as lower electricity consumption due to holidays, or higher electricity consumption due to sudden overtime work, an elimination range is set at this time, and the elimination range is 160%-10%. When there are individuals in the high electricity ratio item and the low electricity ratio item that exceed the elimination range, they will be eliminated and the average value after elimination will be obtained again.

[0056] The matching method includes: time division, based on a first acquisition threshold, setting a first time node, the number of first time nodes is at least two, obtaining a first time node item, obtaining power data of branch items based on the first time node item respectively, obtaining at least two sets of power data, and then obtaining a power data item.

[0057] It should be noted that the first acquisition threshold is marked and divided according to the first time node, and the power usage of the branch items at the first time node is obtained respectively to obtain the same number of power data items as the branch items.

[0058] Methods for acquiring first time node items include: uniform division, based on a first acquisition threshold, uniformly dividing the first acquisition threshold into a target number, the number of first time nodes is the same as the target number, uniformly distributing the target number of first time nodes in the first acquisition threshold, respectively acquiring the distribution positions of the first time nodes, and obtaining the first time node items.

[0059] It should be noted that the target number is 24, and the number of first nodes is 24 at this time. Since the first acquisition threshold is 24h, the first acquisition threshold is divided into 24 parts, and the first time nodes are distributed within the first acquisition threshold.

[0060] The method for obtaining a branch set includes: M1: destination detection, setting at least two target devices to detect the destination of the power input to the target control cabinet to obtain the power destination item; M2: quantity acquisition, based on the quantity information of the power destination item, obtaining the quantity information of the branch item, and combining the branch items to obtain the branch set.

[0061] Methods for obtaining quantity information of branch items include: endpoint judgment, based on the electricity destination item, obtaining the end position of the electricity in the electricity destination item to obtain the electricity end point item; based on the electricity end point item, merging individuals with the same end point position in the electricity end point item to obtain a merged end point item; based on the quantity information of the merged end point item, obtaining the quantity information of the branch item.

[0062] It should be noted that the target device is a smart meter, which is used to record the input and output of current. Based on the output recording information of the smart meter on current, the quantity information of branch items is obtained, and the terminal position of the destination of the electricity is determined. When the terminal positions are the same, the currents going to the same terminal are merged, and the final number obtained is the number of branch items.

[0063] In a specific implementation process, the smart meter detects that the current is divided into four branches, and the end points of two of the four branches are the same end point. At this time, the number of branch items is 3.

[0064] The division method includes: Z1: position acquisition, obtaining the position information of the branch item to obtain the branch position item; Z2: range limitation, based on the branch position item, respectively obtaining the operating range of the corresponding position of the branch item to obtain the branch range item; Z3: average value sorting, based on the obtained multiple branch average items, sorting the branch average items to obtain branch sorting items; Z4: level determination, based on the branch sorting items, dividing the branch sorting items into at least two parts to obtain branch level items, the branch level items correspond to factory areas of different levels, and the factory level items are obtained based on the branch range items.

[0065] It should be noted that the location information and range information of the branch items are obtained, and the branch average items are sorted. The sorted branch average items are divided into three parts to obtain three branch level items, namely high demand, medium demand and normal demand. The branch level items correspond to different levels of factory areas.

[0066] In the specific implementation process, Figure 6-Figure 7 As shown, three branch items are detected, and they correspond to three different areas, namely the living area, the working area and the office area, wherein the average power values ​​of the living area, the working area and the office area are 15kwh, 35kwh and 20kwh respectively, and the result after sorting the branch average items is the working area > office area > living area, and according to the sorting result of the branch average items, the branch items are divided into three levels, corresponding to high demand, medium demand and normal demand respectively, at this time, the working area is the high demand area, the office area is the medium demand area, and the living area is the normal demand area.

[0067] The method for obtaining the quota adjustment item includes: matching the value-added items, matching the value-added items based on the factory level items, and combining the value-added items with the branch items in the factory level items of different levels to obtain the quota adjustment item.

[0068] It should be noted that the value-added items are 100%, 105% and 110%, corresponding to normal demand, medium demand and advanced demand respectively.

[0069] In the specific implementation process, Figure 8As shown, a factory is divided into Zone 1, Zone 2 and Zone 3, wherein the average power values ​​of Zone 1, Zone 2 and Zone 3 are 15kwh, 35kwh and 20kwh respectively. At this time, the result after sorting the branch average items is Zone 2> Zone 3> Zone 1, and according to the sorting result of the branch average items, the branch items are divided into three levels, corresponding to advanced demand, medium demand and normal demand respectively. At this time, Zone 2 is the advanced demand area, Zone 3 is the medium demand area, and Zone 1 is the normal demand area. By obtaining the fluctuation threshold of 140%-50%, the fluctuation threshold of Zone 1, Zone 2 and Zone 3 is matched with the value-added items, which are 100%, 110% and 105% respectively. At this time, the fluctuation threshold of Zone 1 is 140%-50%, the fluctuation threshold of Zone 2 is 154%-45%, and the fluctuation threshold of Zone 3 is 147%-47.5%.

[0070] Although 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 the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is limited by the attached embodiments and their equivalents.

Claims

1. A high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis, characterized in that: include: Branch acquisition module: obtains the branch data of the output power of the target control cabinet, obtains a branch set, and the branch set includes at least two branch items, obtains the output distribution of the target control cabinet to the input power, and analyzes the output power separately; Power acquisition module: set a first acquisition threshold, respectively acquire power usage data of branch items within the first acquisition threshold, obtain at least two groups of power data items through a matching method, and obtain a power trend chart; Quota allocation module: allocates different quota ranges to branch items through allocation methods, monitors the power usage data of branch items respectively, and outputs alarm data when the power usage data of branch items exceeds the allocated quota range; The quota adjustment module: set the second acquisition threshold, obtain the average power data of the branch item within the second acquisition threshold, obtain the branch average item, divide the factory area into at least two levels through the division method, obtain the factory level item, set the value-added item, the value-added item corresponds to the factory area level item, adjust the quota range based on the value-added item, obtain the quota adjustment item, and improve the accurate monitoring of the input and output power of the control cabinet; The allocation method includes: Step 1: Threshold setting, setting the fluctuation threshold, and creating at least two rated range change items based on the combination of the power trend chart and the fluctuation threshold; Step 2: Range matching: the rated range change items are matched with the branch items respectively to obtain different rated range changes of different electric quantities corresponding to different branch items; Step 3: Data matching, obtaining real-time time data, obtaining real-time time items, and based on the combination of the rated range change item and the real-time time item, obtaining at least two target rated ranges, which correspond to the branch items respectively, and then allocating different quota ranges to the branch items.

2. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 1 is characterized in that: The method for setting the fluctuation threshold comprises: S1: setting a third acquisition threshold, and based on the third acquisition threshold, acquiring the highest value and the lowest value of the branch item within the third acquisition threshold, to obtain a peak item and a trough item; S2: average value acquisition, acquiring an average power value of the branch item within a third acquisition threshold, and obtaining a plurality of power average items, wherein the power average items correspond to the peak items and the trough items respectively; S3: obtaining increase and decrease values, based on the ratio of the peak item and the trough item to the corresponding average item of electric quantity, obtaining a plurality of high electric quantity ratio items and a plurality of low electric quantity ratio items; S4: Determine the threshold value, respectively obtain the average value of the high power ratio item and multiple low power ratio items, obtain the extremely high item and the extremely low item, and then obtain the fluctuation threshold value according to the extremely high item and the extremely low item.

3. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 2 is characterized in that: The method for obtaining extremely high items and extremely low items includes: setting elimination items, setting elimination ranges, judging whether the average values ​​of high power ratio items and low power ratio items exceed the elimination ranges, and when there are individuals exceeding the elimination ranges in the high power ratio items and low power ratio items, taking the individuals exceeding the elimination ranges as elimination items, obtaining high power screening ratio items and low power screening ratio items, obtaining the average values ​​of the high power screening ratio items and the low power screening ratio items, and obtaining extremely high items and extremely low items.

4. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 1 is characterized in that: The matching method includes: time division, based on a first acquisition threshold, setting a first time node, the number of first time nodes is at least two, obtaining a first time node item, obtaining power data of branch items based on the first time node item respectively, obtaining at least two groups of power data, and then obtaining a power data item.

5. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 4 is characterized in that: The acquisition method of the first time node item includes: uniform division, based on the first acquisition threshold, the first acquisition threshold is evenly divided into a target number, the number of first time nodes is the same as the target number, the first time nodes of the target number are evenly distributed in the first acquisition threshold, the distribution positions of the first time nodes are respectively obtained, and the first time node items are obtained.

6. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 1 is characterized in that: The method for obtaining the branch set includes: M1: Destination detection: set at least two target devices to detect the destination of the power input to the target control cabinet to obtain the power destination item; M2: Quantity acquisition: Based on the quantity information of the electricity destination item, the quantity information of the branch item is obtained, and the branch items are combined to obtain the branch set.

7. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 6 is characterized in that: The method for obtaining the quantity information of the branch items includes: endpoint judgment, based on the electricity destination item, obtaining the end position of the electricity in the electricity destination item to obtain the electricity end point item; based on the electricity end point item, merging individuals with the same end point position in the electricity end point item to obtain a merged end point item; based on the quantity information of the merged end point item, obtaining the quantity information of the branch items.

8. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 1 is characterized in that: The division method comprises: Z1: position acquisition, obtain the position information of the branch item and get the branch position item; Z2: Range limitation. Based on the branch position item, the operation range of the corresponding position of the branch item is obtained to obtain the branch range item; Z3: Average value sorting, based on the obtained multiple branch average items, the branch average items are sorted to obtain branch sorting items; Z4: Grade determination, based on branch sorting items, the branch sorting items are divided into at least two parts to obtain branch grade items, the branch grade items correspond to factory areas of different grades, and the factory grade items are obtained based on the branch range items.

9. The high-voltage power distribution control cabinet operation monitoring system based on multi-terminal analysis according to claim 1 is characterized in that: The method for obtaining the quota adjustment item includes: matching the value-added items, matching the value-added items based on the factory level items, and combining the value-added items with the branch items in the factory level items of different levels to obtain the quota adjustment item.

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