Power switch cabinet state monitoring system and method

Abstract

The invention discloses a power switch cabinet state monitoring system and method, and relates to the field of switch cabinet state monitoring, the power switch cabinet state monitoring system comprises a data acquisition module, a visual module, a performance module, an environment module and a diagnosis renovation module, and the method comprises the following steps: analyzing the crack, continuity and contour of a switch cabinet insulator and the connection state of a cable joint and a cable; judging and analyzing the discharge state of the power switch cabinet and the operation performance of the power switch cabinet to obtain an electrical property abnormal value of the switch cabinet; analyzing the operation environment state of the power switch cabinet to obtain a ring abnormal value of the switch cabinet; and diagnosing the operation state of the switch cabinet. The operation state of the power switch cabinet can be analyzed and judged from multiple dimensions and multiple directions, the judgment accuracy of the operation state of the switch cabinet can be ensured, the operation states of the switch cabinet in different states can be timely sent to operation and maintenance personnel in corresponding modes, and the operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of power switch cabinet status monitoring, and in particular to a power switch cabinet status monitoring system and method. Background Art

[0002] Electricity plays an increasingly important role in modern society. As a key device in the power system, the operating status of the power switchgear can affect the continuity and reliability of the entire power supply. Therefore, the importance of power switchgear status monitoring is self-evident. Traditional monitoring methods rely too much on simple electrical parameter measurement and manual regular inspections, which cannot meet the current needs of power development. Therefore, the power switchgear status monitoring system came into being.

[0003] When the traditional power switch cabinet status monitoring system is in operation, it is unable to analyze and determine the operating status of the power switch cabinet in multiple dimensions and from multiple aspects, resulting in the inability to guarantee the accuracy of the determination of the switch cabinet operating status. At the same time, it is also impossible to send the operating status of the switch cabinet in different states to the operation and maintenance personnel in a timely manner in a corresponding manner, resulting in increased operation and maintenance costs and a greatly increased incidence of equipment failures.

[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0005] In order to solve the technical problems raised by the above background technology, the present invention is proposed. The embodiments of the present invention provide a power switch cabinet state monitoring system and method.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A power switch cabinet status monitoring system includes a data acquisition module, a visual module, a performance module, an environment module, and a diagnosis and repair module.

[0007] The data acquisition module is used to collect insulator information, cable information, cable joint information, discharge information, performance information and environmental information, and send it to the visual module, performance module and environmental module;

[0008] The visual module is used to analyze the cracks, continuity, contours of the switch cabinet insulators and the connection status of the cable joints and cables to obtain the visual loose and broken virtual values ​​of the switch cabinet components;

[0009] The performance module is used to determine and analyze the discharge state of the power switch cabinet and the operating performance of the power switch cabinet to obtain the electrical abnormality value of the switch cabinet;

[0010] The environment module is used to analyze the operating environment state of the power switch cabinet to obtain the switch cabinet ring abnormal value;

[0011] The diagnosis and repair module is used to receive the visual loose and disconnection virtual values ​​of the switch cabinet components, the electrical abnormal values ​​of the switch cabinet and the electrical abnormal values ​​of the switch cabinet, diagnose the operating status of the switch cabinet, and issue corresponding repair signals and repair measures.

[0012] Furthermore, the corresponding repair signal and repair measure analysis steps are as follows:

[0013] Normalize the visual loose virtual value of the switch cabinet components, the electrical abnormal value of the switch cabinet, and the switch cabinet ring abnormal value. Use the visual loose virtual value of the switch cabinet components as the upper top side length of the trapezoid, the electrical abnormal value of the switch cabinet as the lower bottom side length of the trapezoid, and the switch cabinet ring abnormal value as the trapezoid height to construct a trapezoid. Identify the perimeter of the trapezoid and mark it as the switch cabinet operation comprehensive abnormal value.

[0014] If the switch cabinet operation comprehensive abnormality value is greater than or equal to the threshold value GW1, the corresponding switch cabinet operation status is seriously abnormal, and a switch cabinet key repair signal is issued, corresponding to the repair measure one, to ensure the safe and stable operation of the power system. If the switch cabinet operation comprehensive abnormality value is less than the threshold value GW2, and is greater than the threshold value GW2, the corresponding switch cabinet operation status is slightly abnormal, and a switch cabinet minor repair signal is issued, corresponding to the repair measure two. If the switch cabinet operation comprehensive abnormality value is less than or equal to the threshold value GW2, the corresponding switch cabinet operation status is normal, and no corresponding operation is required.

[0015] Furthermore, the switch cabinet ring outlier analysis steps are as follows:

[0016] The switch cabinet vibration value, air quality pollution value and electromagnetic interference value in the environmental information of the power switch cabinet are obtained, and marked as kzz, kwz and grz respectively. According to the set formula DKH=t1×kzz+t2×kwz+t3×grz, the switch cabinet ring difference value DKH is calculated, where t1, t2 and t3 are the weight factor coefficients of the switch cabinet vibration value, air quality pollution value and electromagnetic interference value respectively.

[0017] Furthermore, the steps of analyzing the electrical abnormality of the switch cabinet are as follows:

[0018] The short circuit value of the circuit breaker, the power monitoring value of the circuit breaker, the residual life value of the circuit breaker, and the circuit power quality deviation value in the performance information of the power switch cabinet are obtained, marked as hdz, jcz, syz and dnz respectively, and normalized with the discharge chaos value fdd of the switch cabinet. According to the set formula model The electrical abnormality DXZ of the switch cabinet is calculated, where w1, w2, w3, w4 and w5 are the set influencing factor coefficients.

[0019] Furthermore, the steps for analyzing the discharge chaos value of the switch cabinet are as follows:

[0020] Step 5: Calculate the number of embedded vectors Q using the formula Q = M-(n-1) × ρ, and obtain the embedded vector y q , q=1,2,...,Q, according to the formula Get the mean of the phase space trajectory in m dimensions where y q，m Represents the mth component of each qth embedding vector, according to the formula Get the variance fc of the phase space trajectory in m dimensions m , and sum the variance of the phase space trajectory in each dimension and multiply it by the correction coefficient ψ to obtain the discrete value of the phase space trajectory;

[0021] Step 6: Weighted calculation is performed on the discharge chaos characteristic value and phase space trajectory discrete value of the power switch cabinet, and multiplied by the corresponding weight factor coefficient to obtain the discharge chaos dispersion value fdd of the switch cabinet.

[0022] Furthermore, the steps of analyzing the discharge chaos characteristic value of the power switch cabinet are as follows:

[0023] Step 1: Obtain the voltage amplitude time series x(t) of the power switch cabinet discharge signal, with a length of M, and calculate the autocorrelation function of the voltage amplitude time series x(t) Where υ is the delay time, and the time delay of the first zero-crossing point of the autocorrelation function G(υ) is calculated to obtain the delay time parameter ρ for constructing the embedding vector. By comparing the nearest points under different embedding dimensions, the embedding dimension corresponding to the minimum value of the pseudo nearest neighbor value of the nearest neighbor point is obtained to obtain the embedding dimension parameter n for constructing the embedding vector, and construct the embedding vector y(t), where y(t) = (x(t), x(t+ρ), ..., x(t+(n-1)×ρ));

[0024] Step 2: Select the initial reference point y(t0) in the phase space, and draw a circle with the value β as the radius and the initial reference point as the center. Get the nearest point y'(t0) in the circle. According to the formula The Euclidean distance od0 is calculated, where m is the index number of the embedding dimension parameter, m=0, 1, 2, ..., n-1;

[0025] Step 3: Get the time step of the reference point and the neighboring point, marked as Δt, and track the phase space trajectory of the reference point and the neighboring point, and mark them as y(t0+k×Δt) and y'(t0+k×Δt), respectively, where k is the sequence number of the time step, k=1, 2, ..., K, K is the maximum value of the time step sequence number, according to the formula od k =||y(t0+k×Δt)-y′(t0+k×Δt)||, and obtain the Euclidean distance od between the reference point and the neighboring point k after each time step k , according to the formula The chaotic characteristic values ​​htz of the reference point and the adjacent points are calculated, and λ is the correction factor coefficient;

[0026] Step 4: Select several initial reference points in the phase space, repeat steps 2 and 3 in sequence, average all the obtained chaotic characteristic values, and obtain the discharge chaotic characteristic value of the power switch cabinet.

[0027] Furthermore, the steps of visual loose and virtual value analysis of switch cabinet components are as follows:

[0028] The image of the cable joint is obtained by X-ray imaging. The grayscale threshold segmentation method is used to obtain the connecting area of ​​the core wire and the joint. The pixel value of the connecting area is obtained, and the contour of the connection between the core wire and the joint is obtained by edge detection algorithm. The distance from each point of the core wire to the nearest point of the joint is counted, and the maximum value Xz is taken. The distance from each point of the joint to the nearest point of the core wire is counted, and the maximum value Jz is taken. The maximum value of the maximum value Xz and the maximum value Jz is obtained and the inverse processing is performed to obtain the degree of fit between the core wire and the joint. The pixel value of the connecting area is added to the degree of fit between the core wire and the joint to obtain the connection value of the cable joint. When the connection value of the cable joint is less than or equal to the set threshold, the cable joint is judged as a virtual connection. The image of the cable core is obtained by X-ray imaging, and the cable core is divided into several areas. The gray value difference of adjacent areas is counted. When it is greater than or equal to the set gray value threshold, the adjacent area is judged as a broken core area. The number of virtual connection and broken core areas within a certain range is counted and marked as a cable connection virtual value; a laser speckle interferometer measurement system is set at the cable joint. The system irradiates the joint surface with laser to form a speckle image, obtains the phase change value of each pixel point of the speckle image within a certain period of time, and multiplies it by the correction factor coefficient to obtain the loose connection value of the cable joint;

[0029] The cable disconnection virtual value, the cable joint loose connection value, and the insulator fracture ladder value Jl are calculated to obtain the switch cabinet component visual loosening virtual value Sdz.

[0030] Furthermore, the insulator breaking gradient value analysis steps are as follows:

[0031] The edge detection algorithm is used to obtain the crack tip radius, crack shape complexity, and crack length in the insulator crack image through the acquired edge sub-surface image, and the sum of the crack shape complexity and the crack length is divided by the crack tip radius to obtain the edge sub-crack miscellaneous tip value;

[0032] The gradient amplitude of the insulator edge image, the continuous value of the insulator edge image, the insulator contour angle variation and the edge sub-crack tip value are marked as tf, lx, wj and zj respectively, and normalized and substituted into the set formula The calculation is performed to obtain the insulator breaking ladder value Jl, where lf represents the complexity of the crack shape, tg1, tg2, tg3, tg4, tg5, tg6, tg7, tg8, tg9, tg10, tg11 and tg12 are all set influencing factor coefficients, and e is a natural constant.

[0033] Furthermore, the steps of analyzing the gradient amplitude of the insulator edge image, the continuous value of the insulator edge image, and the insulator profile angle variation are as follows:

[0034] The image of the insulator surface is obtained by an industrial camera, and the edge image is obtained by an edge detection algorithm. The gradient amplitude of the insulator edge image is obtained, and the edge image is marked from the lower right corner of the image if the pixel is an edge pixel, and the eight adjacent pixels of the pixel are determined. If the adjacent pixels are edge pixels, they are marked, and the above steps are repeated until there are no new edge pixels. The number of marked pixels is counted and the inverse processing is multiplied by the correction factor coefficient to obtain the continuous value of the insulator edge image. The edge detection algorithm is used on the obtained edge sub-surface image to obtain the contour image of the insulator. The minimum circumscribed rectangle of the insulator contour is calculated to obtain the central coordinates of the circumscribed rectangle and mark it as the central position of the insulator contour. The change in the central position of the insulator contour, the change in the aspect ratio of the minimum circumscribed rectangle and the change in the short side angle of the insulator contour within a certain period of time are counted, and the sum is obtained to obtain the insulator contour angle change value.

[0035] As a preferred embodiment of the present invention, a method for monitoring the state of a power switch cabinet is characterized by comprising the following steps:

[0036] S1: Analyze the cracks, continuity, contours of the switch cabinet insulators and the connection status of the cable joints and cables to obtain the visual loose and broken virtual values ​​of the switch cabinet components;

[0037] S2: Determine and analyze the discharge state and operating performance of the power switch cabinet to obtain the abnormal value of the electrical properties of the switch cabinet;

[0038] S3: Analyze the operating environment status of the power switch cabinet to obtain the switch cabinet ring abnormality value;

[0039] S4: Diagnose the operating status of the switch cabinet and issue corresponding repair signals and repair measures.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention obtains visual looseness and virtual values ​​of switch cabinet components by analyzing cracks, continuity, and contours of switch cabinet insulators and the connection status of cable joints and cables, determines and analyzes the discharge status and operating performance of the power switch cabinet to obtain electrical abnormality values ​​of the switch cabinet, analyzes the operating environment status of the power switch cabinet to obtain the ring abnormality values ​​of the switch cabinet, and can analyze and determine the operating status of the power switch cabinet from multiple dimensions and aspects, so that the accuracy of the determination of the operating status of the switch cabinet can be guaranteed.

[0042] 2. The present invention diagnoses the operating status of the switch cabinet by receiving the visual loose and disconnection virtual values ​​of the switch cabinet components, the electrical abnormal values ​​of the switch cabinet and the electrical abnormal values ​​of the switch cabinet, and sends out corresponding repair signals and repair measures. At the same time, the operating status of the switch cabinet in different states can be sent to the operation and maintenance personnel in a corresponding manner in a timely manner, thereby reducing the operation and maintenance costs and greatly reducing the occurrence rate of equipment failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled according to the actual sizes, and the focus is on illustrating the main purpose of the present invention.

[0044] Figure 1 It is a system block diagram of the present invention. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0046] like Figure 1 As shown, a power switch cabinet status monitoring system includes a data acquisition module, a visual module, a performance module, an environment module, and a diagnosis and repair module.

[0047] The data acquisition module is used to collect insulator information, cable information, cable joint information, discharge information, performance information and environmental information, and send it to the visual module, performance module and environmental module.

[0048] The visual module receives insulator information, cable information, and cable joint information, analyzes the cracks, continuity, and contours of the switch cabinet insulators and the connection status of the cable joints and cables, and obtains the visual loose and broken virtual values ​​of the switch cabinet components. The specific analysis is as follows:

[0049] The image of the insulator surface is obtained by an industrial camera, and the edge image is obtained by an edge detection algorithm. The gradient amplitude of the insulator edge image is obtained, and the edge image is marked from the lower right corner of the image. If the pixel is an edge pixel, it is marked, and the eight adjacent pixels of the pixel are determined. If the adjacent pixels are edge pixels, they are marked. Repeat the above steps until there are no new edge pixels. The number of marked pixels is counted and multiplied by the correction factor coefficient to obtain the continuous value of the insulator edge image. The edge detection algorithm is used on the obtained edge sub-surface image to obtain the contour image of the insulator. The center coordinates of the circumscribed rectangle are obtained by calculating the minimum circumscribed rectangle of the insulator contour and marked as The center position of the insulator contour is counted within a certain period of time. The change in the center position of the insulator contour, the change in the aspect ratio of the minimum circumscribed rectangle and the change in the short side angle are summed to obtain the change in the insulator contour angle. The short side angle refers to the angle between the short side of the rectangle and the vertical axis of the coordinate system. The edge detection algorithm is used to obtain the crack tip radius, crack shape complexity and crack length in the insulator crack image through the acquired edge sub-surface image. The sum of the crack shape complexity and the crack length is divided by the crack tip radius to obtain the edge sub-crack miscellaneous tip value. The crack shape complexity refers to the ratio of the circumference of the crack to the area. It should be noted that when the crack tip radius is smaller, the stress concentration is higher and the edge sub-crack miscellaneous tip value is higher.

[0050] The gradient amplitude of the insulator edge image, the continuous value of the insulator edge image, the insulator contour angle variation and the edge sub-crack tip value are marked as tf, lx, wj and zj respectively, and normalized and substituted into the set formula The calculation is performed to obtain the insulator breaking gradient value Jl, where lf represents the complexity of the crack shape, tg1, tg2, tg3, tg4, tg5, tg6, tg7, tg8, tg9, tg10, tg11 and tg12 are all set influence factor coefficients, and tg1 <tg5<tg9,tg2<tg6<tg10,tg3<tg7<tg11,tg4> tg8>tg12, the specific value is determined by professionals in this field, e is a natural constant, and its value is 2.178. It can be seen from the formula that when the complexity of the crack shape is less than 1, it has little effect on the insulator breaking ladder value, and when the complexity of the crack shape is greater than 10, it has a greater impact on the insulator breaking ladder value;

[0051] The image of the cable joint is obtained by X-ray imaging. The grayscale threshold segmentation method is used to obtain the connecting area of ​​the core wire and the joint. The pixel value of the connecting area is obtained, and the contour of the connection between the core wire and the joint is obtained by edge detection algorithm. The distance from each point of the core wire to the nearest point of the joint is counted, and the maximum value Xz is taken. The distance from each point of the joint to the nearest point of the core wire is counted, and the maximum value Jz is taken. The maximum value of the maximum value Xz and the maximum value Jz is obtained and the inverse processing is performed to obtain the degree of fit between the core wire and the joint. The pixel value of the connecting area is added to the degree of fit between the core wire and the joint to obtain the connection value of the cable joint. When the connection value of the cable joint is less than or equal to the set threshold, the cable joint is judged as a virtual connection. The image of the cable core is obtained by X-ray imaging, and the cable core is divided into several areas. The gray value difference of adjacent areas is counted. When it is greater than or equal to the set gray value threshold, the adjacent area is judged as a broken core area. The number of virtual connection and broken core areas within a certain range is counted and marked as a cable connection virtual value; a laser speckle interferometer measurement system is set at the cable joint. The system irradiates the joint surface with laser to form a speckle image, obtains the phase change value of each pixel point of the speckle image within a certain period of time, and multiplies it by the correction factor coefficient to obtain the loose connection value of the cable joint;

[0052] The cable disconnection virtual value and the cable joint loose connection value are marked as lx and js respectively, and normalized with the insulator breaking ladder value Jl. According to the set formula Sdz=ζ×(p1×lx+p2×js+p3×Jl), the visual looseness virtual value Sdz of the switch cabinet components is calculated, wherein p1, p2 and p3 are the set influencing factor coefficients of the cable disconnection virtual value, the cable joint loose connection value and the insulator breaking ladder value respectively, ζ is the correction factor coefficient, and the sizes of p1, p2, p3 and ζ are all customized by technical personnel in this field according to actual use. For example, the values ​​of p1, p2, p3 are 1.1, 1.1 and 2.1, and the value of ζ is 0.87.

[0053] The performance module is used to receive discharge information and performance information, determine and analyze the discharge state of the power switch cabinet and the operating performance of the power switch cabinet, and obtain the electrical abnormality value of the switch cabinet. The specific analysis is as follows:

[0054] Step 1: Obtain the voltage amplitude time series x(t) of the power switch cabinet discharge signal, with a length of M, and calculate the autocorrelation function of the voltage amplitude time series x(t) Where υ is the delay time, and the time delay of the first zero-crossing point of the autocorrelation function G(υ) is calculated to obtain the delay time parameter ρ for constructing the embedding vector. By comparing the nearest points under different embedding dimensions, the embedding dimension corresponding to the minimum value of the pseudo nearest neighbor value of the nearest neighbor point is obtained to obtain the embedding dimension parameter n for constructing the embedding vector. The embedding vector y(t) is constructed, where y(t) = (x(t), x(t+ρ), ..., x(t+(n-1)×ρ)), so that the one-dimensional time series is converted into a multi-dimensional phase-space embedding vector;

[0055] Step 2: Select the initial reference point y(t0) in the phase space, and draw a circle with the initial reference point as the center and the value β as the radius, and obtain the nearest point y'(t0) in the circle, where the value β is determined by professionals in this field. It should be noted that if the value β is too small, the neighboring point cannot be found, and if it is too large, the neighboring point is not representative. According to the formula The Euclidean distance od0 is calculated, where m is the index number of the embedding dimension parameter, m=0, 1, 2, ..., n-1;

[0056] Step 3: Get the time step of the reference point and the neighboring point, marked as Δt, and track the phase space trajectory of the reference point and the neighboring point, and mark them as y(t0+k×Δt) and y'(t0+k×Δt), respectively, where k is the sequence number of the time step, k=1, 2, ..., K, K is the maximum value of the time step sequence number, according to the formula od k =||y(t0+k×Δt)-y′(t0+k×Δt)||, and obtain the Euclidean distance od between the reference point and the neighboring point k after each time step k , according to the formula The chaotic characteristic values ​​htz of the reference point and the adjacent points are calculated, and λ is the correction factor coefficient, which is used to improve the accuracy of the calculation;

[0057] Step 4: Select several initial reference points in the phase space, repeat steps 2 and 3 in sequence, average all the obtained chaotic characteristic values, and obtain the discharge chaotic characteristic value of the power switch cabinet;

[0058] Step 5: Calculate the number of embedded vectors Q using the formula Q = M-(n-1) × ρ, and obtain the embedded vector y q , q=1,2,...,Q, according to the formula Get the mean of the phase space trajectory in m dimensions where y q，m Represents the mth component of each qth embedding vector, according to the formula Get the variance fc of the phase space trajectory in m dimensions m , and sum the variance of the phase space trajectory in each dimension and multiply it by the correction coefficient ψ to obtain the discrete value of the phase space trajectory;

[0059] Step 6: Weighted calculation is performed on the discharge chaos characteristic value and the phase space trajectory discrete value of the power switch cabinet, and multiplied by the corresponding weight factor coefficient to obtain the discharge chaos dispersion value fdd of the switch cabinet;

[0060] The short circuit value of the circuit breaker, the power monitoring value of the circuit breaker, the residual life value of the circuit breaker, and the circuit power quality deviation value in the performance information of the power switch cabinet are obtained, marked as hdz, jcz, syz and dnz respectively, and normalized with the discharge chaos value fdd of the switch cabinet. According to the set formula model The switch cabinet electrical abnormality value DXZ is calculated, where w1, w2, w3, w4 and w5 are the setting influencing factor coefficients of the circuit current short value, the power switch cabinet power monitoring value, the circuit breaker life value, the circuit power quality deviation value, and the switch cabinet discharge chaos value, respectively, and the specific values ​​are 1.2, 2.1, 5, 6 and 5;

[0061] It should be noted that the short circuit value of the loop current refers to the number of times the loop current of the power switch cabinet is overloaded, short-circuited, or current is unbalanced within a certain period of time; the power monitoring value of the power switch cabinet refers to the sum of the power factor and electric energy utilization rate of the power switch cabinet; the remaining life value of the circuit breaker refers to the number of times the circuit breaker has been operated, and the value is obtained by subtracting the total number of operations that can be set; the loop power quality deviation value refers to the number of times the circuit circuit has voltage drops, voltage interruptions, and voltage rises within a certain period of time, and the sum of the harmonic content;

[0062] The environment module is used to receive environmental information, analyze the operating environment status of the power switch cabinet, and obtain the switch cabinet ring value. The specific analysis is as follows:

[0063] Obtain the switch cabinet vibration value, air quality pollution value, and electromagnetic interference value in the environmental information of the power switch cabinet, and mark them as kzz, kwz, and grz respectively. According to the set formula DKH=t1×kzz+t2×kwz+t3×grz, calculate the switch cabinet ring difference value DKH, where t1, t2, and t3 are the weight factor coefficients of the switch cabinet vibration value, air quality pollution value, and electromagnetic interference value, respectively. The specific values ​​are determined by professionals in this field;

[0064] It should be noted that the switch cabinet vibration value refers to the sum of the acceleration, velocity and displacement of the switch cabinet base within a certain period of time; the air pollution value refers to the content and value of dust, particulate matter and corrosive gas outside the switch cabinet; corrosive gas refers to hydrogen sulfide, chlorine and sulfur dioxide; the electromagnetic interference value refers to the electromagnetic field strength outside the switch cabinet;

[0065] The diagnosis and repair module is used to receive the visual loose and disconnection virtual values ​​of switchgear components, the electrical abnormal values ​​of the switchgear, and the electrical abnormal values ​​of the switchgear, diagnose the operating status of the switchgear, and issue corresponding repair signals and repair measures. The specific analysis is as follows:

[0066] Normalize the visual loose virtual value of the switch cabinet components, the electrical abnormal value of the switch cabinet, and the switch cabinet ring abnormal value. Use the visual loose virtual value of the switch cabinet components as the upper top side length of the trapezoid, the electrical abnormal value of the switch cabinet as the lower bottom side length of the trapezoid, and the switch cabinet ring abnormal value as the trapezoid height to construct a trapezoid. Identify the perimeter of the trapezoid and mark it as the switch cabinet operation comprehensive abnormal value.

[0067] Set the switch cabinet operation comprehensive abnormality thresholds GW1 and GW2, and compare and analyze the switch cabinet operation comprehensive abnormality value with the thresholds GW1 and GW2, where the threshold GW1>GW2;

[0068] If the comprehensive operation abnormality of the switch cabinet is greater than or equal to the threshold value GW1, the operating status of the corresponding switch cabinet is seriously abnormal, and a switch cabinet key overhaul signal is issued, and the on-site maintenance personnel are notified to bring professional tools and equipment for immediate maintenance, and remote opening and closing operations are performed through the monitoring terminal to ensure the safe and stable operation of the power system. If the comprehensive operation abnormality of the switch cabinet is less than the threshold value GW2 and greater than the threshold value GW2, the operating status of the corresponding switch cabinet is slightly abnormal, and a switch cabinet minor overhaul signal is issued, and the operation and maintenance personnel are notified to view detailed data and analysis results through the monitoring terminal, remotely adjust the operating parameters, and increase the maintenance frequency. If the comprehensive operation abnormality of the switch cabinet is less than or equal to the threshold value GW2, the operating status of the corresponding switch cabinet is normal and no corresponding operation is performed.

[0069] A method for monitoring the state of a power switch cabinet comprises the following steps:

[0070] S1: Analyze the cracks, continuity, contours of the switch cabinet insulators and the connection status of the cable joints and cables to obtain the visual loose and broken virtual values ​​of the switch cabinet components;

[0071] S2: Determine and analyze the discharge state and operating performance of the power switch cabinet to obtain the abnormal value of the electrical properties of the switch cabinet;

[0072] S3: Analyze the operating environment status of the power switch cabinet to obtain the switch cabinet ring abnormality value;

[0073] S4: Diagnose the operating status of the switch cabinet and issue corresponding repair signals and repair measures.

[0074] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A power switch cabinet status monitoring system, characterized in that: include: A data acquisition module is used to collect insulator information, cable information, cable joint information, discharge information, performance information and environmental information, and send it to a visual module, a performance module and an environmental module; The visual module is used to analyze the cracks, continuity, contours of the switch cabinet insulators and the connection status of the cable joints and cables to obtain the visual loose and broken virtual values ​​of the switch cabinet components; The performance module is used to determine and analyze the discharge state and operating performance of the power switch cabinet and obtain the electrical abnormality value of the switch cabinet; The environment module is used to analyze the operating environment status of the power switch cabinet and obtain the switch cabinet ring abnormality value; The diagnosis and renovation module is used to receive the visual loose and disconnection virtual values ​​of the switch cabinet components, the abnormal electrical values ​​of the switch cabinet and the abnormal electrical values ​​of the switch cabinet, diagnose the operating status of the switch cabinet, and issue corresponding renovation signals and renovation measures.

2. A power switch cabinet status monitoring system according to claim 1, characterized in that: The corresponding repair signal and repair measure analysis steps are as follows: Normalize the visual loose virtual value of the switch cabinet components, the electrical abnormal value of the switch cabinet, and the switch cabinet ring abnormal value. Use the visual loose virtual value of the switch cabinet components as the upper top side length of the trapezoid, the electrical abnormal value of the switch cabinet as the lower bottom side length of the trapezoid, and the switch cabinet ring abnormal value as the trapezoid height to construct a trapezoid. Identify the perimeter of the trapezoid and mark it as the switch cabinet operation comprehensive abnormal value. If the switch cabinet operation comprehensive abnormality value is greater than or equal to the threshold value GW1, the corresponding switch cabinet operation status is seriously abnormal, and a switch cabinet key repair signal is issued, corresponding to the repair measure one, to ensure the safe and stable operation of the power system. If the switch cabinet operation comprehensive abnormality value is less than the threshold value GW2 and greater than the threshold value GW2, the corresponding switch cabinet operation status is slightly abnormal, and a switch cabinet minor repair signal is issued, corresponding to the repair measure two. If the switch cabinet operation comprehensive abnormality value is less than or equal to the threshold value GW2, the corresponding switch cabinet operation status is normal and no corresponding operation is required.

3. A power switch cabinet status monitoring system according to claim 2, characterized in that: The steps of switch cabinet ring outlier analysis are as follows: The switch cabinet vibration value, air quality pollution value and electromagnetic interference value in the environmental information of the power switch cabinet are obtained, and marked as kzz, kwz and grz respectively. According to the set formula DKH=t1×kzz+t2×kwz+t3×grz, the switch cabinet ring difference value DKH is calculated, where t1, t2 and t3 are the weight factor coefficients of the switch cabinet vibration value, air quality pollution value and electromagnetic interference value respectively.

4. A power switch cabinet status monitoring system according to claim 2, characterized in that: The steps for analyzing the electrical abnormality of the switch cabinet are as follows: The short circuit value of the circuit breaker, the power monitoring value of the circuit breaker, the residual life value of the circuit breaker, and the circuit power quality deviation value in the performance information of the power switch cabinet are obtained, marked as hdz, jcz, syz and dnz respectively, and normalized with the discharge chaos value fdd of the switch cabinet. According to the set formula model The electrical abnormality DXZ of the switch cabinet is calculated, where w1, w2, w3, w4 and w5 are the set influencing factor coefficients.

5. A power switch cabinet status monitoring system according to claim 4, characterized in that: The steps for analyzing the discharge chaos value of the switch cabinet are as follows: Step 5: Calculate the number of embedded vectors Q using the formula Q = M-(n-1) × ρ, and obtain the embedded vector y q , q=1,2,...,Q, according to the formula Get the mean of the phase space trajectory in m dimensions where y q，m Represents the mth component of each qth embedding vector, according to the formula Get the variance fc of the phase space trajectory in m dimensions m , and sum the variance of the phase space trajectory in each dimension and multiply it by the correction coefficient ψ to obtain the discrete value of the phase space trajectory; Step 6: Weighted calculation is performed on the discharge chaos characteristic value and phase space trajectory discrete value of the power switch cabinet, and multiplied by the corresponding weight factor coefficient to obtain the discharge chaos dispersion value fdd of the switch cabinet.

6. A power switch cabinet status monitoring system according to claim 5, characterized in that: The steps of analyzing the discharge chaos characteristic value of the power switch cabinet are as follows: Step 1: Obtain the voltage amplitude time series x(t) of the power switch cabinet discharge signal, with a length of M, and calculate the autocorrelation function G of the voltage amplitude time series x(t) Where υ is the delay time, and the time delay of the first zero-crossing point of the autocorrelation function G(υ) is calculated to obtain the delay time parameter ρ for constructing the embedding vector. By comparing the nearest points under different embedding dimensions, the embedding dimension corresponding to the minimum value of the pseudo nearest neighbor value of the nearest neighbor point is obtained to obtain the embedding dimension parameter n for constructing the embedding vector, and construct the embedding vector y(t), where y(t) = (x(t), x(t+ρ), ..., x(t+(n-1)×ρ)); Step 2: Select the initial reference point y(t0) in the phase space, and draw a circle with the value β as the radius and the initial reference point as the center. Get the nearest point y'(t0) in the circle. According to the formula The Euclidean distance od0 is calculated, where m is the index number of the embedding dimension parameter, m=0, 1, 2, ..., n-1; Step 3: Get the time step of the reference point and the neighboring point, marked as Δt, and track the phase space trajectory of the reference point and the neighboring point, and mark them as y(t0+k×Δt) and y'(t0+k×Δt), respectively, where k is the sequence number of the time step, k=1, 2, ..., K, K is the maximum value of the time step sequence number, according to the formula od k =||y(t0+k×Δt)-y′(t0+k×Δt)||, and obtain the Euclidean distance od between the reference point and the neighboring point k after each time step k , according to the formula The chaotic characteristic values ​​htz of the reference point and the adjacent points are calculated, and λ is the correction factor coefficient; Step 4: Select several initial reference points in the phase space, repeat steps 2 and 3 in sequence, average all the obtained chaotic characteristic values, and obtain the discharge chaotic characteristic value of the power switch cabinet.

7. A power switch cabinet state monitoring system according to claim 2, characterized in that: The steps for visual loose and virtual value analysis of switch cabinet components are as follows: The image of the cable joint is obtained by X-ray imaging. The grayscale threshold segmentation method is used to obtain the connecting area of ​​the core wire and the joint. The pixel value of the connecting area is obtained, and the contour of the connection between the core wire and the joint is obtained by edge detection algorithm. The distance from each point of the core wire to the nearest point of the joint is counted, and the maximum value Xz is taken. The distance from each point of the joint to the nearest point of the core wire is counted, and the maximum value Jz is taken. The maximum value of the maximum value Xz and the maximum value Jz is obtained and the inverse processing is performed to obtain the degree of fit between the core wire and the joint. The pixel value of the connecting area is added to the degree of fit between the core wire and the joint to obtain the connection value of the cable joint. When the connection value of the cable joint is less than or equal to the set threshold, the cable joint is judged as a virtual connection. The image of the cable core is obtained by X-ray imaging, and the cable core is divided into several areas. The gray value difference of adjacent areas is counted. When it is greater than or equal to the set gray value threshold, the adjacent area is judged as a broken core area. The number of virtual connection and broken core areas within a certain range is counted and marked as a cable connection virtual value; a laser speckle interferometer measurement system is set at the cable joint. The system irradiates the joint surface with laser to form a speckle image, obtains the phase change value of each pixel point of the speckle image within a certain period of time, and multiplies it by the correction factor coefficient to obtain the loose connection value of the cable joint; The cable disconnection virtual value, the cable joint loose connection value, and the insulator fracture ladder value Jl are calculated to obtain the switch cabinet component visual loosening virtual value Sdz.

8. A power switch cabinet status monitoring system according to claim 7, characterized in that: The steps of analyzing the breaking gradient of the insulator are as follows: The edge detection algorithm is used to obtain the crack tip radius, crack shape complexity, and crack length in the insulator crack image through the acquired edge sub-surface image, and the sum of the crack shape complexity and the crack length is divided by the crack tip radius to obtain the edge sub-crack miscellaneous tip value; The gradient amplitude of the insulator edge image, the continuous value of the insulator edge image, the insulator contour angle variation and the edge sub-crack tip value are marked as tf, lx, wj and zj respectively, and normalized and substituted into the set formula The calculation is performed to obtain the insulator breaking ladder value Jl, where lf represents the complexity of the crack shape, tg1, tg2, tg3, tg4, tg5, tg6, tg7, tg8, tg9, tg10, tg11 and tg12 are all set influencing factor coefficients, and e is a natural constant.

9. A power switch cabinet status monitoring system according to claim 8, characterized in that: The steps of analyzing the gradient amplitude of the insulator edge image, the continuous value of the insulator edge image, and the insulator profile angle variation are as follows: The image of the insulator surface is obtained by an industrial camera, and the edge image is obtained by an edge detection algorithm. The gradient amplitude of the insulator edge image is obtained, and the edge image is marked from the lower right corner of the image if the pixel is an edge pixel, and the eight adjacent pixels of the pixel are determined. If the adjacent pixels are edge pixels, they are marked, and the above steps are repeated until there are no new edge pixels. The number of marked pixels is counted and the inverse processing is multiplied by the correction factor coefficient to obtain the continuous value of the insulator edge image. The edge detection algorithm is used on the obtained edge sub-surface image to obtain the contour image of the insulator. The minimum circumscribed rectangle of the insulator contour is calculated to obtain the central coordinates of the circumscribed rectangle and mark it as the central position of the insulator contour. The change in the central position of the insulator contour, the change in the aspect ratio of the minimum circumscribed rectangle and the change in the short side angle of the insulator contour within a certain period of time are counted, and the sum is obtained to obtain the insulator contour angle change value.

10. A method for monitoring the state of a power switch cabinet, characterized in that A power switch cabinet state monitoring system applied to any one of claims 1 to 9, comprising the following steps: S1: Analyze the cracks, continuity, contours of the switch cabinet insulators and the connection status of the cable joints and cables to obtain the visual loose and broken virtual values ​​of the switch cabinet components; S2: Determine and analyze the discharge state and operating performance of the power switch cabinet to obtain the abnormal value of the electrical properties of the switch cabinet; S3: Analyze the operating environment status of the power switch cabinet to obtain the switch cabinet ring abnormality value; S4: Diagnose the operating status of the switch cabinet and issue corresponding repair signals and repair measures.

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