Power distribution cabinet operation state monitoring control system

Abstract

The invention relates to a power distribution cabinet operation state monitoring control system, and the system comprises an electricity utilization information obtaining module which is used for obtaining the historical electricity utilization information of each sub-region in a service region corresponding to each power distribution cabinet, determining a power utilization peak period and a power utilization main purpose of each sub-region corresponding to the power distribution cabinet in a unit time period according to the historical power utilization information of each sub-region; the monitoring grade judgment module is used for analyzing and judging the monitoring grade of the corresponding power distribution cabinet in the current time period according to the power utilization peak time period and the power utilization main purpose of each sub-area in the service area; and the operation state monitoring control module is used for monitoring the operation state of the power distribution cabinet based on the monitoring level. According to the power distribution cabinet running state monitoring method and device, deep running state monitoring on the power distribution cabinet in the time period with the high importance degree is achieved, running state monitoring on the power distribution cabinet in the time period with the low importance degree is reduced, comprehensive and flexible monitoring is conducted on the basis that the monitoring accuracy is effectively met, and waste of monitoring resources is avoided.

Description

Technical Field

[0001] The invention relates to the technical field of power distribution cabinets, and in particular to a power distribution cabinet operation status monitoring and control system. Background Art

[0002] The distribution cabinet is an important equipment in the power system, mainly used to distribute and control electric energy. The distribution cabinet can distribute electric energy to different electrical equipment or areas to ensure the normal operation of the power system. The distribution cabinet monitoring system is an important power facility, which plays a vital role in the power system. It can monitor and manage the electrical equipment in the distribution cabinet. At present, when collecting the operating data of the distribution cabinet, a fixed collection frequency is usually used. If the set collection frequency is too high, the cost of data collection and storage may increase; if the set collection frequency is too low, it may not be possible to obtain enough data to accurately reflect the operating status of the equipment. The existing distribution cabinet operating status monitoring has certain limitations. ‌‌ Summary of the invention

[0003] The present invention provides a distribution cabinet operation status monitoring and control system to solve the technical problems mentioned in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions: A distribution cabinet operation status monitoring and control system, the system comprising: The power consumption information acquisition module is used to obtain the historical power consumption information of each sub-area in the service area corresponding to each distribution cabinet, wherein the historical power consumption information includes the power consumption and the main purpose of power consumption in each time period, and determine the peak power consumption time period and the main purpose of power consumption of each sub-area corresponding to the distribution cabinet in a unit time period according to the historical power consumption information of each sub-area; A monitoring level determination module, used to determine the monitoring level of the corresponding distribution cabinet in the current period according to the peak power consumption period and main power consumption purpose of each sub-area in the service area; The operation status monitoring control module is used to monitor the operation status of the distribution cabinet based on the monitoring level.

[0005] As a further technical solution of the present invention, the electricity consumption information acquisition module includes: A historical information acquisition unit, used to acquire historical power consumption information of each sub-area in the service area corresponding to each distribution cabinet, wherein the historical power consumption information includes power consumption and main purpose of power consumption in each time period; The peak power consumption determination unit is used to calculate the power consumption of each time period in each unit time period of each sub-area. When the power consumption of a certain time period exceeds a preset power consumption threshold, the time period is determined as a peak power consumption period. The power usage main purpose determination unit is used to determine the power usage main purpose in the historical power usage information of each sub-area as the power usage main purpose in the current period.

[0006] As a further technical solution of the present invention, the monitoring level determination module includes: A target area counting unit, used to count the number of target sub-areas existing in the current time period, wherein the target sub-areas refer to sub-areas whose peak power consumption period overlaps with the current period; A classification and statistics unit is used to obtain the main purpose of electricity consumption of each target sub-area in the current period, classify each target sub-area according to the main purpose of electricity consumption of each target sub-area in the current period, and count the number of each type of target sub-area; a usage weight determination unit, configured to determine the weight of each main usage of electricity according to the main usage of electricity and the weight table of the main usage of electricity, wherein the main usage of electricity and its corresponding main usage weight in the weight table of the main usage of electricity are arranged in pairs; The importance calculation unit is used to calculate and output the importance of the corresponding distribution cabinet in the current period according to the number of various target sub-areas and the weight of the main power usage. , where X represents the importance of the distribution cabinet in the current period, Indicates the number of first-class target sub-regions in the current period, Indicates the number of the second type of target sub-areas in the current period, represents the number of the i-th target sub-area in the current period, a, b and n represent the weights of the main electricity use of the first, second and i-th target sub-areas in the current period respectively; A monitoring level determination unit is used to determine the monitoring level of the distribution cabinet in the current time period according to the importance, and the monitoring level includes level one, level two and level three.

[0007] As a further technical solution of the present invention, the content of determining the monitoring level of the power distribution cabinet in the current period according to the importance includes: When the importance exceeds a first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level one; When the importance exceeds the second preset threshold but does not exceed the first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level 2; When the importance does not exceed the second preset threshold, it is determined that the monitoring level of the distribution cabinet in the current time period is level three.

[0008] As a further technical solution of the present invention, the operating status monitoring control module includes: A target quantity determination unit, used to determine a monitoring ratio according to the monitoring level, and determine a target quantity according to the monitoring ratio; the monitoring ratio is proportional to the monitoring level, and the number of lines is equal to the total number of lines in the distribution cabinet multiplied by the monitoring ratio and rounded up; The target line selection unit is used to randomly select a line in the power distribution cabinet as the target line and synchronously update the selection probability of the remaining lines; A cyclic selection unit, used for cyclically executing the selection process until the number of selected routes reaches the target number; A risk monitoring and identification unit, used to identify the volatility of the selected line and determine the fault information, wherein the fault information includes the fault type, the fault line and the time when the fault occurs; The risk feedback unit is used to feed back fault information to the management end.

[0009] As a further technical solution of the present invention, the selection probability calculation formula is as follows: ; ; It's location The probability of selecting the line at It's location The selected characteristic value of the line at is the sum of the selected eigenvalues ​​at all positions; is the total number of target lines that have been selected, ; It is The location of the target line; When it is zero, all positions have the same probability of being selected.

[0010] As a further technical solution of the present invention, the process of identifying the fluctuation of the selected line is: collecting waveform data (voltage fluctuation, current fluctuation) of the selected line, analyzing the collected waveform data based on a preset fluctuation feature recognition model, extracting waveform features, and identifying the fault type according to the waveform features.

[0011] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a distribution cabinet operation status monitoring and control system, in which the service area of ​​each distribution cabinet is divided into several sub-areas, and the importance of the corresponding distribution cabinet in each time period is determined according to the peak power consumption period and the main power consumption purpose of each sub-area in the service area, and the monitoring level of each distribution cabinet in the current time period is determined according to the importance, and the operation status is monitored according to the monitoring level, thereby realizing in-depth operation status monitoring of the distribution cabinet in the time period with higher importance, reducing the operation status monitoring of the distribution cabinet in the time period with lower importance, and conducting comprehensive and flexible monitoring on the basis of effectively meeting the monitoring accuracy and precision, and avoiding the waste of monitoring resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 The figure is a structural block diagram of a distribution cabinet operation status monitoring and control system.

[0013] Figure 2 The present invention is a structural block diagram of a monitoring level determination module in a distribution cabinet operation status monitoring and control system.

[0014] Figure 3 The present invention is a structural block diagram of an operation status monitoring control module in an operation status monitoring control system of a power distribution cabinet. DETAILED DESCRIPTION

[0015] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] like Figure 1 As shown, an embodiment of the present invention provides a distribution cabinet operation status monitoring and control system, the system comprising: The electricity consumption information acquisition module 100 is used to obtain the historical electricity consumption information of each sub-area in the service area corresponding to each distribution cabinet, and determine the peak electricity consumption time period and main electricity use purpose of each sub-area corresponding to the distribution cabinet within a unit time period according to the historical electricity consumption information of each sub-area; the historical electricity consumption information includes the electricity consumption and main electricity use purpose of each time period, and the main electricity use purpose of each sub-area is based on the main electricity use purpose corresponding to the sub-area during the peak electricity consumption period, and each sub-area is obtained by dividing the service area according to the main electricity use purpose during the peak electricity consumption period; the main electricity use purposes include medical treatment, production operation, office, life, etc., and the service area corresponding to the distribution cabinet refers to the area where the distribution cabinet distributes power; the main electricity use purpose determination method: if the meter provides electricity classification data (such as medical treatment, production operation, office, life, etc.), the data is directly used; if not, it is necessary to estimate or infer the main electricity use purpose of each sub-area through other means (such as surveys, expert judgment, etc.); A monitoring level determination module 200 is used to determine the monitoring level of the corresponding power distribution cabinet in the current period according to the peak power consumption period and main power consumption purpose of each sub-area in the service area; The operation status monitoring control module 300 is used to monitor the operation status of the power distribution cabinet based on the monitoring level.

[0017] In the present invention, the service area of ​​each distribution cabinet is divided into several sub-areas, and the importance of the corresponding distribution cabinet in each time period is determined according to the peak power consumption period and the main purpose of electricity consumption of each sub-area in the service area. The monitoring level of each distribution cabinet in the current time period is determined according to the importance, and the operation status monitoring is performed according to the monitoring level. In-depth operation status monitoring of the distribution cabinets in time periods with higher importance is achieved, and operation status monitoring of the distribution cabinets in time periods with lower importance is reduced. Comprehensive and flexible monitoring is performed on the basis of effectively meeting the monitoring accuracy and precision, and waste of monitoring resources is avoided.

[0018] As another preferred embodiment of the present invention, the power consumption information acquisition module 100 includes: A historical information acquisition unit, used to acquire historical power consumption information of each sub-area in the service area corresponding to each distribution cabinet, wherein the historical power consumption information includes power consumption and main purpose of power consumption in each time period; The peak power consumption determination unit is used to calculate the power consumption of each time period in each unit time period (such as one day, one week or one month) of each sub-area. When the power consumption of a certain time period exceeds a preset power consumption threshold, the time period is determined as a peak power consumption period. The power usage main purpose determination unit is used to determine the power usage main purpose in the historical power usage information of each sub-area as the power usage main purpose in the current period.

[0019] See also Figure 2 As another preferred embodiment of the present invention, the monitoring level determination module 200 includes: The target area counting unit 201 is used to count the number of target sub-areas existing in the current time period, wherein the target sub-areas refer to the sub-areas whose peak power consumption period overlaps with the current period; The classification and statistics unit 202 is used to obtain the main purpose of electricity consumption of each target sub-area in the current period, classify each target sub-area according to the main purpose of electricity consumption of each target sub-area in the current period, and count the number of each type of target sub-area; A usage weight determination unit 203 is used to determine the weight of each main usage of electricity according to the main usage of electricity and the weight table of the main usage of electricity, wherein the main usage of electricity and its corresponding main usage weight in the weight table of the main usage of electricity are arranged in pairs, wherein the medical treatment weight> the production operation weight> the office weight> the life weight; The importance calculation unit 204 is used to calculate and output the importance of the corresponding distribution cabinet in the current period according to the number of each type of target sub-area and the weight of the main power usage. , where X represents the importance of the distribution cabinet in the current period, Indicates the number of first-class target sub-regions in the current period, Indicates the number of the second type of target sub-areas in the current period, represents the number of the i-th target sub-area in the current period, a, b and n represent the weights of the main electricity use of the first, second and i-th target sub-areas in the current period respectively; The monitoring level determination unit 205 is used to determine the monitoring level of the power distribution cabinet in the current period according to the importance, and the monitoring level includes level one, level two and level three.

[0020] In this embodiment, the importance of the distribution cabinet in each time period is calculated through the power consumption information of each sub-area within the service area of ​​the distribution cabinet. When there is a sub-area (i.e., a medical institution) in the service area whose main purpose of electricity consumption is medical treatment and it is a peak period of electricity consumption, the demand for electricity is high, the corresponding importance and monitoring level will increase, and the distribution cabinet will be fully monitored in operation.

[0021] As another preferred embodiment of the present invention, the content of determining the monitoring level of the power distribution cabinet in the current period according to the importance includes: When the importance exceeds a first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level one; When the importance exceeds the second preset threshold but does not exceed the first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level 2; When the importance does not exceed the second preset threshold, it is determined that the monitoring level of the distribution cabinet in the current time period is level three, and the first preset threshold>the second preset threshold>0.

[0022] See also Figure 3 As another preferred embodiment of the present invention, the operating status monitoring control module 300 includes: A target quantity determination unit 301 is used to determine a monitoring ratio according to the monitoring level, and determine a target quantity according to the monitoring ratio; the monitoring ratio is proportional to the monitoring level, and the number of lines is equal to the total number of lines in the distribution cabinet multiplied by the monitoring ratio and rounded up; The target line selection unit 302 is used to randomly select a line in the power distribution cabinet as the target line and synchronously update the selection probability of the remaining lines; A cyclic selection unit 303, configured to cyclically execute the selection process until the number of selected routes reaches the target number; The risk monitoring and identification unit 304 is used to identify the volatility of the selected line and determine the fault information, wherein the fault information includes the fault type, the fault line and the time when the fault occurs; The risk feedback unit 305 is used to feed back the fault information to the management end.

[0023] In this embodiment, the selection probability calculation formula is as follows: ; ; It's location The probability of selecting the line at It's location The selected characteristic value of the line at is the sum of the selected eigenvalues ​​at all positions; is the total number of target lines that have been selected, ; It is The location of the target line; When is 0, the selection probability of all positions is the same. This embodiment effectively meets the monitoring accuracy and performs comprehensive and flexible monitoring, thus avoiding the waste of monitoring resources.

[0024] In this embodiment, the process of identifying the fluctuation of the selected line is: collecting waveform data (voltage fluctuation, current fluctuation) of the selected line, analyzing the collected waveform data based on a preset fluctuation feature recognition model, extracting waveform features, and identifying the fault type according to the waveform features, wherein the waveform features include phase features and amplitude features. The fault type includes at least short circuit fault, open circuit fault and defect fault. The preset fluctuation feature recognition model is usually built based on machine learning or deep learning algorithms, which is used to analyze the collected voltage and current waveform data, extract key waveform features, and identify the fault type accordingly. Machine learning algorithm: For example, using unsupervised learning algorithms such as Isolation Forest (IF) or Local Outlier Factor (LOF), learn potential decision functions from historical data to distinguish normal fluctuations from abnormal fluctuations. These algorithms can automatically fit data patterns and effectively process big data and multi-dimensional data. Deep learning algorithm: Using deep learning models such as convolutional neural networks (CNN) or recurrent neural networks (RNN), feature extraction and classification of voltage and current waveform data. These models are able to learn underlying patterns from complex waveform data and automatically perform fault identification and classification.

[0025] It should be noted that, in this article, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0026] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A distribution cabinet operation status monitoring and control system, characterized in that: The system comprises: The power consumption information acquisition module is used to obtain the historical power consumption information of each sub-area in the service area corresponding to each distribution cabinet, wherein the historical power consumption information includes the power consumption and the main purpose of power consumption in each time period, and determine the peak power consumption time period and the main purpose of power consumption of each sub-area corresponding to the distribution cabinet in a unit time period according to the historical power consumption information of each sub-area; A monitoring level determination module, used to determine the monitoring level of the corresponding distribution cabinet in the current period according to the peak power consumption period and main power consumption purpose of each sub-area in the service area; The operation status monitoring control module is used to monitor the operation status of the distribution cabinet based on the monitoring level.

2. A distribution cabinet operation status monitoring and control system according to claim 1, characterized in that: The electricity consumption information acquisition module includes: A historical information acquisition unit, used to acquire historical power consumption information of each sub-area in the service area corresponding to each distribution cabinet, wherein the historical power consumption information includes power consumption and main purpose of power consumption in each time period; The peak power consumption determination unit is used to calculate the power consumption of each time period in each unit time period of each sub-area. When the power consumption of a certain time period exceeds a preset power consumption threshold, the time period is determined as a peak power consumption period. The power usage main purpose determination unit is used to determine the power usage main purpose in the historical power usage information of each sub-area as the power usage main purpose in the current period.

3. A distribution cabinet operation status monitoring and control system according to claim 1, characterized in that: The monitoring level determination module comprises: A target area counting unit, used to count the number of target sub-areas existing in the current time period, wherein the target sub-areas refer to sub-areas whose peak power consumption period overlaps with the current period; A classification and statistics unit is used to obtain the main purpose of electricity consumption of each target sub-area in the current period, classify each target sub-area according to the main purpose of electricity consumption of each target sub-area in the current period, and count the number of each type of target sub-area; a usage weight determination unit, configured to determine the weight of each main usage of electricity according to the main usage of electricity and the weight table of the main usage of electricity, wherein the main usage of electricity and its corresponding main usage weight in the weight table of the main usage of electricity are arranged in pairs; The importance calculation unit is used to calculate and output the importance of the corresponding distribution cabinet in the current period according to the number of various target sub-areas and the weight of the main power usage. , where X represents the importance of the distribution cabinet in the current period, Indicates the number of first-class target sub-regions in the current period, Indicates the number of the second type of target sub-areas in the current period, represents the number of the i-th target sub-area in the current period, a, b and n represent the weights of the main electricity use of the first, second and i-th target sub-areas in the current period respectively; A monitoring level determination unit is used to determine the monitoring level of the distribution cabinet in the current time period according to the importance, and the monitoring level includes level one, level two and level three.

4. A distribution cabinet operation status monitoring and control system according to claim 3, characterized in that: The content of determining the monitoring level of the power distribution cabinet in the current period according to the importance includes: When the importance exceeds a first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level one; When the importance exceeds the second preset threshold but does not exceed the first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level 2; When the importance does not exceed the second preset threshold, it is determined that the monitoring level of the distribution cabinet in the current time period is level three.

5. A distribution cabinet operation status monitoring and control system according to claim 1, characterized in that: The operating status monitoring control module includes: A target quantity determination unit, used to determine a monitoring ratio according to the monitoring level, and determine a target quantity according to the monitoring ratio; the monitoring ratio is proportional to the monitoring level, and the number of lines is equal to the total number of lines in the distribution cabinet multiplied by the monitoring ratio and rounded up; The target line selection unit is used to randomly select a line in the power distribution cabinet as the target line and synchronously update the selection probability of the remaining lines; A cyclic selection unit, used for cyclically executing the selection process until the number of selected routes reaches the target number; A risk monitoring and identification unit, used to identify the volatility of the selected line and determine the fault information, wherein the fault information includes the fault type, the fault line and the time when the fault occurs; The risk feedback unit is used to feed back fault information to the management end.

6. A distribution cabinet operation status monitoring and control system according to claim 5, characterized in that: The selection probability calculation formula is as follows: ； ； It's location The probability of selecting the line at It's location The selected characteristic value of the line at is the sum of the selected eigenvalues ​​at all positions; is the total number of target lines that have been selected, ; It is The location of the target line.

7. A distribution cabinet operation status monitoring and control system according to claim 5, characterized in that: The process of identifying the fluctuation characteristics of the selected line is as follows: collecting waveform data of the selected line, analyzing the collected waveform data based on a preset fluctuation characteristic recognition model, extracting waveform characteristics, and identifying the fault type according to the waveform characteristics.

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