A monitoring and control system for the operating status of a power distribution cabinet

Abstract

The present invention relates to a monitoring and control system for the operating state of a power distribution cabinet. The system includes: an electricity consumption information acquisition module, which is used to acquire the historical electricity consumption information of each sub-region within the service area corresponding to each power distribution cabinet, and determine the electricity consumption peak period and the main electricity consumption purpose of each sub-region corresponding to the power distribution cabinet within a unit time period according to the historical electricity consumption information of each sub-region; a monitoring level determination module, which is used to analyze and determine the monitoring level of the corresponding power distribution cabinet at the current time according to the electricity consumption peak period and the main electricity consumption purpose of each sub-region within the service area; an operating state monitoring and control module, which is used to monitor the operating state of the power distribution cabinet based on the monitoring level. It realizes in-depth monitoring of the operating state of the power distribution cabinet during periods with higher importance, reduces the monitoring of the operating state of the power distribution cabinet during periods with lower importance, conducts comprehensive and flexible monitoring on the basis of effectively meeting the monitoring accuracy, and avoids waste of monitoring resources.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution cabinets, and specifically to a monitoring and control system for the operating state of a distribution cabinet. Background Art

[0002] Distribution cabinets are important equipment in the power system, mainly used for distributing and controlling 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 crucial role in the power system. It can monitor and manage the electrical equipment in the distribution cabinet. Currently, when collecting the operation data of the distribution cabinet, a fixed collection frequency is usually adopted. If the set collection frequency is too high, it may increase the cost of data collection and storage; if the set collection frequency is too low, it may not be able to obtain enough data to accurately reflect the operating state of the equipment. There are certain limitations in the existing monitoring of the operating state of the distribution cabinet. Summary of the Invention

[0003] The present invention provides a monitoring and control system for the operating state of a distribution cabinet to solve the technical problems mentioned in the above background art.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A monitoring and control system for the operating state of a distribution cabinet, the system includes:

[0006] An electricity consumption information acquisition module, used to acquire the historical electricity consumption information of each sub-region within the service area corresponding to each distribution cabinet. The historical electricity consumption information includes the electricity consumption and the main purpose of electricity consumption in each time period. The peak electricity consumption period and the main purpose of electricity consumption of the distribution cabinet corresponding to each sub-region within the unit time period are determined according to the historical electricity consumption information of each sub-region.

[0007] A monitoring level determination module, used to analyze and determine the monitoring level of the corresponding distribution cabinet at the current time according to the peak electricity consumption period and the main purpose of electricity consumption of each sub-region within the service area.

[0008] An operating state monitoring and control module, used to monitor the operating state of the distribution cabinet based on the monitoring level.

[0009] As a further technical solution of the present invention, the electricity consumption information acquisition module includes:

[0010] A historical information acquisition unit, used to acquire the historical electricity consumption information of each sub-region within the service area corresponding to each distribution cabinet. The historical electricity consumption information includes the electricity consumption and the main purpose of electricity consumption in each time period.

[0011] A peak power consumption determination unit for calculating the power consumption of each sub-region in each time period within each unit time cycle, and when the power consumption in a certain time period exceeds a preset power consumption threshold, determining this time period as a peak power consumption time period;

[0012] A main power consumption purpose determination unit for determining the main power consumption purpose in the historical power consumption information of each sub-region as the main power consumption purpose in the current time period.

[0013] As a further technical solution of the present invention, the monitoring level determination module includes:

[0014] A target area statistics unit for counting the number of target sub-regions existing in the current time period, where the target sub-region refers to a sub-region where the peak power consumption time period coincides with the current time period;

[0015] A classification statistics unit for obtaining the main power consumption purpose of each target sub-region in the current time period, classifying each target sub-region according to the main power consumption purpose of each target sub-region in the current time period, and counting the number of each type of target sub-region;

[0016] A purpose weight determination unit for determining the weight of each main power consumption purpose according to the main power consumption purpose and the main power consumption purpose weight table, where the main power consumption purpose and its corresponding main power consumption purpose weight are set in pairs in the main power consumption purpose weight table;

[0017] An importance calculation unit for calculating and outputting the importance of the corresponding power distribution cabinet in the current time period according to the number of each type of target sub-region and the main power consumption purpose weight, , where X represents the importance of the power distribution cabinet in the current time period, represents the number of the first type of target sub-regions in the current time period, represents the number of the second type of target sub-regions in the current time period, represents the number of the i-th type of target sub-regions in the current time period, and a, b, and n respectively represent the main power consumption purpose weights of the first, second, and i-th type of target sub-regions in the current time period;

[0018] A monitoring level determination unit for determining the monitoring level of the power distribution cabinet in the current time period according to the importance, and the monitoring levels include first level, second level, and third level.

[0019] As a further technical solution of the present invention, the content of determining the monitoring level of the power distribution cabinet in the current time period according to the importance includes:

[0020] When the importance exceeds the first preset threshold, determining the monitoring level of the power distribution cabinet in the current time period as the first level;

[0021] When the importance exceeds the second preset threshold but does not exceed the first preset threshold, determining the monitoring level of the power distribution cabinet in the current time period as the second level;

[0022] When the importance does not exceed the second preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level three.

[0023] As a further technical solution of the present invention, the operation status monitoring and control module includes:

[0024] A target quantity determination unit, configured to determine a monitoring ratio according to the monitoring level, and determine a target quantity according to the monitoring ratio; the monitoring ratio is directly proportional to the monitoring level, and the number of lines is equal to the total number of lines in the power distribution cabinet multiplied by the monitoring ratio and rounded up;

[0025] A target line selection unit, configured to randomly select a line in the power distribution cabinet as a target line, and synchronously update the selection probability of the remaining lines;

[0026] A cyclic selection unit, configured to cyclically execute the selection process until the number of selected lines reaches the target quantity;

[0027] A risk monitoring and identification unit, configured to perform volatility identification on the selected lines to determine fault information, where the fault information includes a fault type, a fault line, and a fault occurrence time;

[0028] A risk feedback unit, configured to feedback the fault information to the management end.

[0029] As a further technical solution of the present invention, the selection probability calculation formula is as follows:

[0030] ;

[0031] ;

[0032] is the position of the line at the place; is the position of the line at the place, is the sum of the selection eigenvalue of all positions; is the total number of the selected target lines, ; is the th position of the target line; when is zero, the selection probabilities of all positions are the same.

[0033] As a further technical solution of the present invention, the process of performing volatility identification on the selected lines is as follows: collect waveform data (voltage fluctuation, current fluctuation) of the selected lines, analyze the collected waveform data based on a preset fluctuation feature identification model, extract waveform features, and identify the fault type according to the waveform features.

[0034] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention provides a monitoring and control system for the operating state of a power distribution cabinet. In the present invention, the service area of each power distribution cabinet is divided into several sub-areas, and the importance of the corresponding power distribution cabinet at each time period is analyzed and determined according to the peak power consumption time period and the main purpose of power consumption in each sub-area within the service area. The monitoring level of each power distribution cabinet at the current time period is determined according to the importance, and the operating state is monitored according to the monitoring level, realizing in-depth monitoring of the operating state of the power distribution cabinet during the time period with higher importance, reducing the monitoring of the operating state of the power distribution cabinet during the time period with lower importance, achieving comprehensive and flexible monitoring on the basis of effectively meeting the monitoring accuracy, and avoiding waste of monitoring resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a structural block diagram of a monitoring and control system for the operating state of a power distribution cabinet.

[0036] Figure 2 It is a structural block diagram of a monitoring level determination module in a monitoring and control system for the operating state of a power distribution cabinet.

[0037] Figure 3 It is a structural block diagram of an operating state monitoring and control module in a monitoring and control system for the operating state of a power distribution cabinet. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be further described in detail below with reference to 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 used to limit the present invention.

[0039] As Figure 1 shown, the embodiment of the present invention provides a monitoring and control system for the operating state of a power distribution cabinet, and the system includes:

[0040] The electricity consumption information acquisition module 100 is used to acquire the historical electricity consumption information of each sub-region within the service area corresponding to each power distribution cabinet, and determine the electricity consumption peak period and main electricity consumption purpose of each sub-region corresponding to the power distribution cabinet within a unit time period according to the historical electricity consumption information of each sub-region; the historical electricity consumption information includes the electricity consumption and main electricity consumption purpose of each time period, and the main electricity consumption purpose of each sub-region is based on the main electricity consumption purpose corresponding to the sub-region during the electricity consumption peak period, and each sub-region is obtained by dividing the service area according to the main electricity consumption purpose during the electricity consumption peak period; the main electricity consumption purposes include medical treatment, production operation, office, life, etc., and the service area corresponding to the power distribution cabinet refers to the area corresponding to the power distribution and supply of the power distribution cabinet; the method for determining the main electricity consumption purpose: if the electricity meter provides electricity consumption classification data (such as medical treatment, production operation, office, life, etc.), then directly use this data; if not, other means (such as investigation, expert judgment, etc.) are needed to estimate or infer the main electricity consumption purpose of each sub-region;

[0041] The monitoring level determination module 200 is used to analyze and determine the monitoring level of the corresponding power distribution cabinet at the current time according to the electricity consumption peak period and main electricity consumption purpose of each sub-region within the service area;

[0042] The operation status monitoring and control module 300 is used to monitor the operation status of the power distribution cabinet based on the monitoring level.

[0043] In the present invention, the service area of each power distribution cabinet is divided into several sub-regions, the importance of the corresponding power distribution cabinet at each time period is analyzed and determined according to the electricity consumption peak period and main electricity consumption purpose of each sub-region within the service area, the monitoring level of each power distribution cabinet at the current time is determined according to the importance, and the operation status is monitored according to the monitoring level, realizing in-depth operation status monitoring of the power distribution cabinet during the period with higher importance, reducing the operation status monitoring of the power distribution cabinet during the period with lower importance, achieving comprehensive and flexible monitoring on the basis of effectively meeting the monitoring accuracy, and avoiding waste of monitoring resources.

[0044] As another preferred embodiment of the present invention, the electricity consumption information acquisition module 100 includes:

[0045] The historical information acquisition unit is used to acquire the historical electricity consumption information of each sub-region within the service area corresponding to each power distribution cabinet, and the historical electricity consumption information includes the electricity consumption and main electricity consumption purpose of each time period;

[0046] The electricity consumption peak determination unit is used to calculate the electricity consumption of each time period within each unit time period (such as one day, one week or one month) of each sub-region, and when the electricity consumption of a certain time period exceeds the preset electricity consumption threshold, then determine this time period as the electricity consumption peak period;

[0047] The main electricity usage determination unit is used to determine the main electricity usage in the historical electricity usage information of each sub-region as the main electricity usage in the current period.

[0048] Please refer to Figure 2 , as another preferred embodiment of the present invention, the monitoring level determination module 200 includes:

[0049] The target area statistics unit 201 is used to count the number of target sub-regions existing in the current period, where the target sub-region refers to a sub-region where the peak electricity consumption period coincides with the current period;

[0050] The classification statistics unit 202 is used to obtain the main electricity usage of each target sub-region in the current period, classify each target sub-region according to the main electricity usage of each target sub-region in the current period, and count the number of each type of target sub-region;

[0051] The usage weight determination unit 203 is used to determine the weight of each main electricity usage according to the main electricity usage and the main electricity usage weight table, where the main electricity usage and its corresponding main electricity usage weight in the main electricity usage weight table are set in pairs, and among them, the weight of medical treatment > the weight of production operation > the weight of office work > the weight of life;

[0052] The importance calculation unit 204 is used to calculate and output the importance of the corresponding power distribution cabinet in the current period according to the number of each type of target sub-region and the main electricity usage weight, , where X represents the importance of the power distribution cabinet in the current period, represents the number of the first type of target sub-regions in the current period, represents the number of the second type of target sub-regions in the current period, represents the number of the i-th type of target sub-regions in the current period, and a, b, and n respectively represent the main electricity usage weights of the first, second, and i-th type of target sub-regions in the current period;

[0053] 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 levels include level one, level two, and level three.

[0054] In this embodiment, by calculating the importance of the power distribution cabinet in each period through the electricity usage information of each sub-region within the service area of the power distribution cabinet, when the main electricity usage of a sub-region (i.e., a medical institution) within the service area is medical treatment and it is the peak electricity consumption period, at this time, the electricity demand is relatively high, and the corresponding importance and monitoring level will increase, and comprehensive operation monitoring of the power distribution cabinet is carried out.

[0055] 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:

[0056] When the importance exceeds the first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level one;

[0057] 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 two;

[0058] When the importance does not exceed the second preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current period is level three, and the first preset threshold > the second preset threshold > 0.

[0059] Please refer to Figure 3 , as another preferred embodiment of the present invention, the operating state monitoring and control module 300 includes:

[0060] A target quantity determination unit 301, configured to determine a monitoring ratio according to the monitoring level, and determine a target quantity according to the monitoring ratio; the monitoring ratio is directly proportional to the monitoring level, and the number of lines is equal to the total number of lines in the power distribution cabinet multiplied by the monitoring ratio and rounded up;

[0061] A target line selection unit 302, configured to randomly select a line in the power distribution cabinet as the target line, and synchronously update the selection probability of the remaining lines;

[0062] A loop selection unit 303, configured to loop through the selection process until the number of selected lines reaches the target quantity;

[0063] A risk monitoring and identification unit 304, configured to perform volatility identification on the selected lines to determine fault information, where the fault information includes the fault type, the fault line, and the fault occurrence time;

[0064] A risk feedback unit 305, configured to feedback the fault information to the management terminal.

[0065] In this embodiment, the selection probability calculation formula is as follows:

[0066] ;

[0067] ;

[0068] is the selection probability of the line at position ; is the selection eigenvalue of the line at position ; is the sum of the selection eigenvalues of all positions; is the total number of selected target lines, ; is the The position of a target line; when is zero, the selection probability of all positions is the same. On the basis of effectively meeting the monitoring accuracy in this embodiment, comprehensive and flexible monitoring is carried out, avoiding the waste of monitoring resources.

[0069] In this embodiment, the process of identifying the volatility of the selected line is as follows: collect the waveform data (voltage fluctuation, current fluctuation) of the selected line, analyze the collected waveform data based on a preset fluctuation feature recognition model, extract waveform features, and identify the fault type according to the waveform features. Among them, the waveform features include phase features, amplitude features, etc. The fault types at least include short-circuit faults, open-circuit faults, defect faults, etc. The preset fluctuation feature recognition model is usually constructed based on machine learning or deep learning algorithms, used to analyze the collected voltage and current waveform data, extract key waveform features, and identify the fault type accordingly. Machine learning algorithms: such as using unsupervised learning algorithms such as Isolation Forest (IF) or Local Outlier Factor (LOF) to learn the potential decision function from historical data to distinguish normal fluctuations and abnormal fluctuations. These algorithms can automatically fit the data pattern and effectively process big data and multi-dimensional data. Deep learning algorithms: use deep learning models such as convolutional neural network (CNN) or recurrent neural network (RNN) to extract features and classify the voltage and current waveform data. These models can learn the potential laws from complex waveform data and automatically perform fault identification and classification.

[0070] It should be noted that in this article, the term "including" 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 not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article or device including the element.

[0071] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification and drawings of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A monitoring and control system for the operating state of a power distribution cabinet, characterized in that, The system includes: An electricity consumption information acquisition module, which is used to acquire the historical electricity consumption information of each sub-region in the service area corresponding to each power distribution cabinet. The historical electricity consumption information includes the electricity consumption and the main electricity consumption purpose in each time period. The peak electricity consumption time period and the main electricity consumption purpose of the power distribution cabinet corresponding to each sub-region within a unit time period are determined according to the historical electricity consumption information of each sub-region; A monitoring level determination module, which is used to analyze and determine the monitoring level of the corresponding power distribution cabinet in the current time period according to the peak electricity consumption time period and the main electricity consumption purpose of each sub-region in the service area; An operating status monitoring and control module, which is used to monitor the operating status of the power distribution cabinet based on the monitoring level; The monitoring level determination module includes: A target area statistics unit, which is used to count the number of target sub-regions existing in the current time period, where the target sub-region refers to a sub-region where the peak electricity consumption time period coincides with the current time period; A classification statistics unit, which is used to obtain the main electricity consumption purpose of each target sub-region in the current time period, classify each target sub-region according to the main electricity consumption purpose of each target sub-region in the current time period, and count the number of each type of target sub-region; A use weight determination unit, which is used to determine the weight of each main electricity consumption purpose according to the main electricity consumption purpose and the main electricity consumption purpose weight table, where the main electricity consumption purpose and its corresponding main electricity consumption purpose weight are set in pairs in the main electricity consumption purpose weight table; An importance calculation unit is used to calculate and output the importance of the corresponding power distribution cabinet in the current period according to the number of various target sub-regions and the power consumption main-purpose weights. , where X represents the importance of the power distribution cabinet in the current period. represents the number of the first type of target sub-regions in the current period. represents the number of the second type of target sub-regions in the current period. represents the number of the i-th type of target sub-regions in the current period, and a, b, and n respectively represent the power consumption main-purpose weights of the first, second, and i-th type of target sub-regions in the current period. A monitoring level determination unit, which is used to determine the monitoring level of the power distribution cabinet in the current time period according to the importance degree, and the monitoring level includes level one, level two, and level three.

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

3. The operating state monitoring and control system of a power distribution cabinet according to claim 1, characterized in that, The determination of the monitoring level of the power distribution cabinet in the current time period according to the importance degree includes: When the importance degree exceeds the first preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current time period is level one; When the importance degree 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 time period is level two; When the importance degree does not exceed the second preset threshold, it is determined that the monitoring level of the power distribution cabinet in the current time period is level three.

4. A monitoring and control system for the operating state of a power distribution cabinet according to claim 1, characterized in that The operating status monitoring and control module includes: A target quantity determination unit, which is used to determine the monitoring ratio according to the monitoring level and determine the target quantity according to the monitoring ratio; the monitoring ratio is directly proportional to the monitoring level, and the number of lines is equal to the total number of lines in the power distribution cabinet multiplied by the monitoring ratio and rounded up; A target line selection unit, which 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 loop selection unit, which is used to loop through the selection process until the number of selected lines reaches the target quantity; A risk monitoring and identification unit is used to identify the volatility of the selected line and determine the fault information, where the fault information includes the fault type, the fault line, and the fault occurrence time; A risk feedback unit is used to feedback the fault information to the management end.

5. The monitoring and control system for the operating state of a power distribution cabinet according to claim 4, wherein The selection probability calculation formula is as follows: ； ； P(x,y) is the selection probability of the line at the position ; I(x,y) is the selection eigenvalue of the line at the position ; is the sum of the selection eigenvalues of all positions; N is the total number of target lines that have been selected, N≥1; is the position of the i-th target line.

6. The monitoring and control system for the operating state of a power distribution cabinet according to claim 4, characterized in that, The process of identifying the volatility of the selected line is: collecting the waveform data of the selected line, analyzing the collected waveform data based on a preset fluctuation feature identification model, extracting waveform features, and identifying the fault type according to the waveform features.

Images