Vacuum circuit breaker for 35kv switch cabinet and control method thereof

Abstract

The invention relates to the technical field of circuit breaker control, in particular to a vacuum circuit breaker for a 35kv switch cabinet and a control method thereof, and the method comprises the steps: building a plurality of monitoring sub-regions according to the characteristic parameters of the vacuum circuit breaker; establishing a state evaluation model of the vacuum circuit breaker, and generating a state evaluation value of each monitoring sub-region according to the state evaluation model; setting monitoring time nodes of the monitoring sub-regions according to the state evaluation values, collecting real-time characteristic parameters according to the monitoring time nodes, generating fault probabilities of the monitoring sub-regions, and judging whether to send alarm signals or not according to the fault probabilities. The method comprises the following steps: setting a plurality of monitoring sub-regions, establishing a plurality of state evaluation models to generate an initial evaluation value, carrying out initial environment evaluation and life prediction on the plurality of monitoring sub-regions, obtaining a state evaluation value, determining a monitoring time node, and collecting real-time characteristic parameters according to the monitoring time node to generate a fault probability. And generating an operation and maintenance plan according to the fault probability, thereby ensuring safe operation of the power station.

Description

Technical Field

[0001] The present application relates to the technical field of circuit breaker control, and in particular to a vacuum circuit breaker for a 35kv switch cabinet and a control method thereof. Background Art

[0002] Vacuum circuit breakers are usually installed in switch cabinets and fixed cabinets to control and protect high-voltage electrical equipment. However, when abnormal current occurs in the vacuum circuit breaker, it is easy to cause circuit overload, causing damage to electrical equipment in the circuit due to current overload, and even causing safety hazards.

[0003] In the prior art, the number of vacuum circuit breakers failures has increased, and the operating status of the vacuum circuit breakers cannot be effectively determined. The safety risk is relatively high and the failure cannot be discovered in time, thereby increasing the operation and maintenance costs and reducing the reliability and availability of the power station. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides a vacuum circuit breaker for a 35kv switch cabinet and a control method thereof, aiming to evaluate the status of the operating parameters of the vacuum circuit breaker, predict the failure probability and perform timely operation and maintenance based on the failure probability, thereby reducing safety risks and operation and maintenance costs.

[0005] In some embodiments of the present application, multiple monitoring sub-areas are set to monitor characteristic parameters of the vacuum circuit breaker, multiple state evaluation models are established to generate multiple initial evaluation values, environmental evaluation and life prediction are performed on multiple monitoring sub-areas of the vacuum circuit breaker to obtain state evaluation values, monitoring time nodes are determined according to the state evaluation values, real-time characteristic parameters are collected according to the monitoring time nodes to generate fault probabilities, an operation and maintenance plan is generated according to the fault probabilities, and timely operation and maintenance are performed to ensure safe operation of the power station.

[0006] In some embodiments of the present application, a control method for a vacuum circuit breaker for a 35kv switch cabinet is provided, comprising:

[0007] Establishing multiple monitoring sub-areas according to characteristic parameters of the vacuum circuit breaker;

[0008] Establishing a state evaluation model for the vacuum circuit breaker, and generating a state evaluation value for each monitoring sub-area according to the state evaluation model;

[0009] The monitoring time node of the monitoring sub-area is set according to the status evaluation value, the real-time characteristic parameters are collected according to the monitoring time node and the failure probability of the monitoring sub-area is generated, and whether to send an alarm signal is determined according to the failure probability.

[0010] In some embodiments of the present application, before generating the status evaluation value of each monitoring sub-area according to the status evaluation model, the method further includes:

[0011] Generate a state evaluation model sequence K of the monitoring sub-region according to the historical characteristic parameters of the monitoring sub-region and the corresponding historical state evaluation values, K = (k1, k2 ... kn), where ki is the state evaluation model of the ith monitoring sub-region;

[0012] Generate the initial state evaluation value sequence A corresponding to the monitoring sub-area according to the state evaluation model corresponding to the monitoring sub-area, A = (a1, a2...an), where ai is the initial evaluation value of the i-th monitoring sub-area;

[0013] The status evaluation value of each monitoring sub-area is generated according to the initial evaluation value and the comprehensive risk evaluation value of each monitoring sub-area.

[0014] In some embodiments of the present application, generating a status evaluation value of each monitoring sub-area according to the status evaluation model includes:

[0015] Establish operating environment risk model and life prediction model;

[0016] Generate an operation risk assessment value for each monitoring sub-area according to the operation environment risk model;

[0017] Generate a life risk assessment value for each monitoring sub-area according to the life prediction model;

[0018] Generate a comprehensive risk evaluation value of the monitoring sub-area according to the operation risk evaluation value and the life risk evaluation value, and generate a state evaluation value of each monitoring sub-area according to the comprehensive risk evaluation value and the initial evaluation value;

[0019] Mi=ai*(Di*n1+Bi*n2), where Mi is the status evaluation value of the i-th monitoring sub-area, (Di*n1+Bi*n2) is the comprehensive risk assessment value of the i-th monitoring sub-area, Di is the operation risk assessment value of the i-th monitoring sub-area, n1 is the weight coefficient corresponding to the operation risk assessment value, Bi is the life risk assessment value of the i-th monitoring sub-area, and n2 is the weight coefficient corresponding to the life risk assessment value.

[0020] In some embodiments of the present application, setting a monitoring time node of a monitoring sub-area according to a state evaluation value includes:

[0021] Preset a state evaluation value threshold, calculate the evaluation value difference between the preset state evaluation value threshold and the state evaluation value, and set the time interval t between the current monitoring time node and the next monitoring time node of the monitoring sub-area according to the evaluation value difference;

[0022] Presetting a first preset evaluation value difference interval, a second preset evaluation value difference interval and a third preset evaluation value difference interval;

[0023] When the evaluation value difference is within the first preset evaluation value difference interval, setting the first preset time interval t1 as the current time interval;

[0024] When the evaluation value difference is within the second preset evaluation value difference interval, setting the second preset time interval t2 as the current time interval;

[0025] When the evaluation value difference is within the third preset evaluation value difference interval, the third preset time interval t3 is set as the current time interval.

[0026] In some embodiments of the present application, generating the failure probability of the monitoring sub-area includes:

[0027] Collect real-time characteristic parameters according to the monitoring time node, set the normal characteristic parameter interval in each monitoring sub-area according to the historical characteristic parameters, and generate the initial fault probability value P1 according to the relationship between the real-time characteristic parameters and the normal characteristic parameter interval;

[0028] Set the correction factor s according to the life risk assessment value of each monitoring sub-area;

[0029] The failure probability P is generated according to the initial failure probability value P1 and the correction coefficient s, where P=P1*s.

[0030] In some embodiments of the present application, the correction coefficient s is set according to the life risk assessment value of each monitoring sub-area, including:

[0031] Presetting a first preset life risk assessment value interval, a second preset life risk assessment value interval, and a third preset life risk assessment value interval;

[0032] When the life risk assessment value is within the first preset life risk assessment value interval, the correction coefficient s is set to the first preset correction coefficient s1, that is, s=s1;

[0033] When the life risk assessment value is within the second preset life risk assessment value interval, the correction coefficient s is set to the second preset correction coefficient s2, that is, s=s2;

[0034] When the life risk assessment value is in the third preset life risk assessment value interval, the correction coefficient s is set to the third preset correction coefficient s3, that is, s=s3.

[0035] In some embodiments of the present application, determining whether to send an alarm signal according to the failure probability includes:

[0036] Presetting a first preset fault probability threshold and a second preset fault probability threshold, sending a corresponding alarm signal and setting an operation and maintenance area according to the relationship between the fault probability and the preset fault probability threshold, and generating an operation and maintenance plan according to the operation and maintenance area, wherein the first preset fault probability threshold is less than the second preset fault probability threshold;

[0037] When the fault probability is less than the first preset fault probability threshold, no alarm signal is sent;

[0038] When the fault probability is between the first preset fault probability threshold and the second preset fault probability threshold, a first-level alarm signal is sent and the current monitoring sub-area is set as a first-level operation and maintenance area;

[0039] When the fault probability is greater than a second preset fault probability threshold, a secondary alarm signal is sent and the current monitoring sub-area is set as a secondary operation and maintenance area;

[0040] Generate an operation and maintenance plan based on the primary operation and maintenance areas and the secondary operation and maintenance areas.

[0041] In some embodiments of the present application, a vacuum circuit breaker for a 35kv switch cabinet is also included, the vacuum circuit breaker including a vacuum interrupter, an operating mechanism and a bracket, and further including:

[0042] A monitoring unit, used for establishing a plurality of monitoring sub-areas according to characteristic parameters of the vacuum circuit breaker;

[0043] An evaluation unit, used for establishing a state evaluation model of the vacuum circuit breaker, and generating a state evaluation value of each monitoring sub-area according to the state evaluation model;

[0044] The control unit is used to set the monitoring time node of the monitoring sub-area according to the state evaluation value, collect real-time characteristic parameters according to the monitoring time node and generate the failure probability of the monitoring sub-area, and determine whether to send an alarm signal according to the failure probability.

[0045] In some embodiments of the present application, the evaluation unit includes:

[0046] Establish a subunit for generating a state evaluation model sequence K of the monitoring subregion according to the historical characteristic parameters of the monitoring subregion and the corresponding historical state evaluation values, K = (k1, k2 ... kn), where ki is the state evaluation model of the ith monitoring subregion;

[0047] The establishing subunit is also used to establish an operating environment risk model and a life prediction model;

[0048] The initial evaluation subunit is used to generate an initial state evaluation value sequence A corresponding to the monitoring subregion according to the state evaluation model corresponding to the monitoring subregion, where A = (a1, a2 ... an), wherein ai is the initial evaluation value of the i-th monitoring subregion;

[0049] The initial evaluation subunit is also used to generate an operation risk assessment value for each monitoring sub-area according to the operation environment risk model, generate a life risk assessment value for each monitoring sub-area according to the life prediction model, generate a comprehensive risk assessment value for the monitoring sub-area according to the operation risk assessment value and the life risk assessment value, and generate a status assessment value for each monitoring sub-area according to the comprehensive risk assessment value and the initial assessment value.

[0050] In some embodiments of the present application, the control unit includes:

[0051] A setting subunit is used to calculate the evaluation value difference between the preset state evaluation value threshold and the state evaluation value, and set the time interval t between the current monitoring time node and the next monitoring time node of the monitoring sub-area according to the evaluation value difference;

[0052] A fault probability prediction subunit is used to generate an initial fault probability value according to the relationship between the real-time characteristic parameter and the normal characteristic parameter interval, set a correction coefficient according to the life risk evaluation value of each monitoring sub-area, and generate a fault probability according to the initial fault probability value and the correction coefficient;

[0053] The operation and maintenance subunit is used to pre-set a first preset fault probability threshold and a second preset fault probability threshold, send a corresponding alarm signal and set an operation and maintenance area according to the relationship between the fault probability and the preset fault probability threshold, and generate an operation and maintenance plan according to the operation and maintenance area.

[0054] Compared with the prior art, the vacuum circuit breaker for a 35kv switch cabinet and the control method thereof in the embodiment of the present application have the following beneficial effects:

[0055] Set up multiple monitoring sub-areas to monitor the characteristic parameters of the vacuum circuit breaker, establish multiple state evaluation models to generate multiple initial evaluation values, perform environmental evaluation and life prediction on multiple monitoring sub-areas of the vacuum circuit breaker to obtain state evaluation values, determine the monitoring time nodes according to the state evaluation values, collect real-time characteristic parameters according to the monitoring time nodes to generate fault probabilities, generate operation and maintenance plans according to the fault probabilities and perform timely operation and maintenance to ensure safe operation of the power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a flow chart of a control method for a vacuum circuit breaker for a 35kv switch cabinet in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0057] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0058] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0059] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0060] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0061] like Figure 1 As shown, a control method for a vacuum circuit breaker for a 35kv switch cabinet according to a preferred embodiment of the present application includes:

[0062] Step S101: establishing multiple monitoring sub-areas according to characteristic parameters of the vacuum circuit breaker;

[0063] Step S102: establishing a state evaluation model for the vacuum circuit breaker, and generating a state evaluation value for each monitoring sub-area according to the state evaluation model;

[0064] Step S103: Setting a monitoring time node for the monitoring sub-area according to the status evaluation value, collecting real-time characteristic parameters according to the monitoring time node and generating a failure probability for the monitoring sub-area, and determining whether to send an alarm signal according to the failure probability.

[0065] In this embodiment, the characteristic parameters are screened out according to the importance of multiple operating parameters of the vacuum circuit breaker and the frequency of faults, and the characteristic parameters specifically include rated voltage, rated current, opening and closing speed, opening and closing time, etc.

[0066] In some embodiments of the present application, before generating the status evaluation value of each monitoring sub-area according to the status evaluation model, the method further includes:

[0067] Generate a state evaluation model sequence K of the monitoring sub-region according to the historical characteristic parameters of the monitoring sub-region and the corresponding historical state evaluation values, K = (k1, k2 ... kn), where ki is the state evaluation model of the ith monitoring sub-region;

[0068] Generate the initial state evaluation value sequence A corresponding to the monitoring sub-area according to the state evaluation model corresponding to the monitoring sub-area, A = (a1, a2...an), where ai is the initial evaluation value of the i-th monitoring sub-area;

[0069] The status evaluation value of each monitoring sub-area is generated according to the initial evaluation value and the comprehensive risk evaluation value of each monitoring sub-area.

[0070] In this embodiment, the optimal characteristic parameter interval of the characteristic parameters of each monitoring sub-area is set according to the historical characteristic parameters, that is, the parameter interval corresponding to the optimal state of the equipment, and the historical state evaluation value is generated according to the relationship between the historical characteristic parameters and the optimal characteristic parameter interval. The closer the historical characteristic parameters are to the optimal characteristic parameter interval, the larger the historical state evaluation value is, that is, the worse the initial state corresponding to the current monitoring sub-area is, and the easier it is to cause failure.

[0071] In some embodiments of the present application, generating a status evaluation value of each monitoring sub-area according to the status evaluation model includes:

[0072] Establish operating environment risk model and life prediction model;

[0073] Generate an operation risk assessment value for each monitoring sub-area according to the operation environment risk model;

[0074] Generate a life risk assessment value for each monitoring sub-area according to the life prediction model;

[0075] Generate a comprehensive risk evaluation value of the monitoring sub-area according to the operation risk evaluation value and the life risk evaluation value, and generate a state evaluation value of each monitoring sub-area according to the comprehensive risk evaluation value and the initial evaluation value;

[0076] Mi=ai*(Di*n1+Bi*n2), where Mi is the status evaluation value of the i-th monitoring sub-area, (Di*n1+Bi*n2) is the comprehensive risk assessment value of the i-th monitoring sub-area, Di is the operation risk assessment value of the i-th monitoring sub-area, n1 is the weight coefficient corresponding to the operation risk assessment value, Bi is the life risk assessment value of the i-th monitoring sub-area, and n2 is the weight coefficient corresponding to the life risk assessment value.

[0077] In this embodiment, the vacuum circuit breaker is installed in the switch cabinet. There is a certain temperature difference between the inside and outside of the switch cabinet. The hot air in the cabinet forms condensation when it cools down. The vacuum circuit breaker is in a humid environment for a long time, which may lead to a short circuit risk. Therefore, an operating environment risk model is constructed according to the operating environment temperature and humidity to obtain the short circuit risk. An operating risk evaluation value is generated according to the short circuit risk. The greater the short circuit risk, the greater the operating risk evaluation value.

[0078] In this embodiment, the lifespan of the equipment involved in multiple monitoring sub-areas of the vacuum circuit breaker is different. The life prediction value is used to obtain the remaining lifespan of the equipment involved in the current monitoring sub-area, and a life risk assessment value is generated based on the remaining lifespan. The lower the remaining lifespan, the greater the life risk assessment value.

[0079] In this embodiment, a status evaluation value is obtained based on the initial evaluation value and the comprehensive risk value evaluation value of each monitoring sub-area, which greatly improves the status accuracy of the equipment involved in each monitoring sub-area, reduces the safety risk of the vacuum circuit breaker, and improves the reliability and availability of the power station.

[0080] In some embodiments of the present application, setting a monitoring time node of a monitoring sub-area according to a state evaluation value includes:

[0081] Preset a state evaluation value threshold, calculate the evaluation value difference between the preset state evaluation value threshold and the state evaluation value, and set the time interval t between the current monitoring time node and the next monitoring time node of the monitoring sub-area according to the evaluation value difference;

[0082] Presetting a first preset evaluation value difference interval, a second preset evaluation value difference interval and a third preset evaluation value difference interval;

[0083] When the evaluation value difference is within the first preset evaluation value difference interval, setting the first preset time interval t1 as the current time interval;

[0084] When the evaluation value difference is within the second preset evaluation value difference interval, setting the second preset time interval t2 as the current time interval;

[0085] When the evaluation value difference is within the third preset evaluation value difference interval, the third preset time interval t3 is set as the current time interval.

[0086] In this embodiment, t1<t2<t3.

[0087] In this embodiment, when the state evaluation value is larger, the probability of failure will be greater, that is, the time interval between monitoring time nodes should be shorter, so as to solve the potential failure of the vacuum circuit breaker in time and reduce the operation and maintenance cost.

[0088] In some embodiments of the present application, generating the failure probability of the monitoring sub-area includes:

[0089] Collect real-time characteristic parameters according to the monitoring time node, set the normal characteristic parameter interval in each monitoring sub-area according to the historical characteristic parameters, and generate the initial fault probability value P1 according to the relationship between the real-time characteristic parameters and the normal characteristic parameter interval;

[0090] Set the correction factor s according to the life risk assessment value of each monitoring sub-area;

[0091] The failure probability P is generated according to the initial failure probability value P1 and the correction coefficient s, where P=P1*s.

[0092] In some embodiments of the present application, the correction coefficient s is set according to the life risk assessment value of each monitoring sub-area, including:

[0093] Presetting a first preset life risk assessment value interval, a second preset life risk assessment value interval, and a third preset life risk assessment value interval;

[0094] When the life risk assessment value is within the first preset life risk assessment value interval, the correction coefficient s is set to the first preset correction coefficient s1, that is, s=s1;

[0095] When the life risk assessment value is within the second preset life risk assessment value interval, the correction coefficient s is set to the second preset correction coefficient s2, that is, s=s2;

[0096] When the life risk assessment value is in the third preset life risk assessment value interval, the correction coefficient s is set to the third preset correction coefficient s3, that is, s=s3.

[0097] In this embodiment, 1<s1<s2<s3<1.5. When the life risk assessment value is larger, it means that the remaining life is shorter, that is, the probability of failure will increase. The correction coefficient is set according to the life risk value to correct the initial failure probability, so as to obtain a more accurate failure probability value, and predict the failure probability of each monitoring sub-area, thereby reducing operation and maintenance costs and improving availability.

[0098] In some embodiments of the present application, determining whether to send an alarm signal according to the failure probability includes:

[0099] Presetting a first preset fault probability threshold and a second preset fault probability threshold, sending a corresponding alarm signal and setting an operation and maintenance area according to the relationship between the fault probability and the preset fault probability threshold, and generating an operation and maintenance plan according to the operation and maintenance area, wherein the first preset fault probability threshold is less than the second preset fault probability threshold;

[0100] When the fault probability is less than the first preset fault probability threshold, no alarm signal is sent;

[0101] When the fault probability is between the first preset fault probability threshold and the second preset fault probability threshold, a first-level alarm signal is sent and the current monitoring sub-area is set as a first-level operation and maintenance area;

[0102] When the fault probability is greater than a second preset fault probability threshold, a secondary alarm signal is sent and the current monitoring sub-area is set as a secondary operation and maintenance area;

[0103] Generate an operation and maintenance plan based on the primary operation and maintenance areas and the secondary operation and maintenance areas.

[0104] In this embodiment, the secondary alarm signal strength is greater than the primary alarm signal strength. The operation and maintenance order is set according to the alarm signal strength. The secondary operation and maintenance area is operated and maintained first, and then the primary operation and maintenance area is operated and maintained. This greatly reduces the operation and maintenance cost and ensures the safe and stable operation of the vacuum circuit breaker.

[0105] In some embodiments of the present application, a vacuum circuit breaker for a 35kv switch cabinet is also included, the vacuum circuit breaker including a vacuum interrupter, an operating mechanism and a bracket, and further including:

[0106] A monitoring unit, used for establishing a plurality of monitoring sub-areas according to characteristic parameters of the vacuum circuit breaker;

[0107] An evaluation unit, used for establishing a state evaluation model of the vacuum circuit breaker, and generating a state evaluation value of each monitoring sub-area according to the state evaluation model;

[0108] The control unit is used to set the monitoring time node of the monitoring sub-area according to the state evaluation value, collect real-time characteristic parameters according to the monitoring time node and generate the failure probability of the monitoring sub-area, and determine whether to send an alarm signal according to the failure probability.

[0109] In this embodiment, a plurality of monitoring submodules are arranged in the monitoring subregion, and the control unit is electrically connected to the monitoring submodules in the plurality of monitoring subregions. The monitoring submodules include a current monitoring submodule, a voltage monitoring submodule, a time monitoring submodule, and the like.

[0110] In some embodiments of the present application, the evaluation unit includes:

[0111] Establish a subunit for generating a state evaluation model sequence K of the monitoring subregion according to the historical characteristic parameters of the monitoring subregion and the corresponding historical state evaluation values, K=(k1, k2...kn), where ki is the state evaluation model of the ith monitoring subregion;

[0112] The establishing subunit is also used to establish an operating environment risk model and a life prediction model;

[0113] The initial evaluation subunit is used to generate an initial state evaluation value sequence A corresponding to the monitoring subregion according to the state evaluation model corresponding to the monitoring subregion, where A = (a1, a2 ... an), wherein ai is the initial evaluation value of the i-th monitoring subregion;

[0114] The initial evaluation subunit is also used to generate an operation risk assessment value for each monitoring sub-area according to the operation environment risk model, generate a life risk assessment value for each monitoring sub-area according to the life prediction model, generate a comprehensive risk assessment value for the monitoring sub-area according to the operation risk assessment value and the life risk assessment value, and generate a status assessment value for each monitoring sub-area according to the comprehensive risk assessment value and the initial assessment value.

[0115] In some embodiments of the present application, the control unit includes:

[0116] A setting subunit is used to calculate the evaluation value difference between the preset state evaluation value threshold and the state evaluation value, and set the time interval t between the current monitoring time node and the next monitoring time node of the monitoring sub-area according to the evaluation value difference;

[0117] A fault probability prediction subunit is used to generate an initial fault probability value according to the relationship between the real-time characteristic parameter and the normal characteristic parameter interval, set a correction coefficient according to the life risk evaluation value of each monitoring sub-area, and generate a fault probability according to the initial fault probability value and the correction coefficient;

[0118] The operation and maintenance subunit is used to pre-set a first preset fault probability threshold and a second preset fault probability threshold, send a corresponding alarm signal and set an operation and maintenance area according to the relationship between the fault probability and the preset fault probability threshold, and generate an operation and maintenance plan according to the operation and maintenance area.

[0119] According to the first concept of the present application, multiple monitoring sub-areas are set up to monitor the characteristic parameters of the vacuum circuit breaker, multiple state evaluation models are established to generate multiple initial evaluation values, environmental evaluation and life prediction are performed on the multiple monitoring sub-areas of the vacuum circuit breaker to obtain state evaluation values, monitoring time nodes are determined according to the state evaluation values, real-time characteristic parameters are collected according to the monitoring time nodes to generate fault probabilities, an operation and maintenance plan is generated according to the fault probabilities, and timely operation and maintenance are performed to ensure safe operation of the power station.

[0120] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. A control method for a vacuum circuit breaker for a 35kv switch cabinet, characterized in that: include: Establishing multiple monitoring sub-areas according to characteristic parameters of the vacuum circuit breaker; Establishing a state evaluation model for the vacuum circuit breaker, and generating a state evaluation value for each monitoring sub-area according to the state evaluation model; The monitoring time node of the monitoring sub-area is set according to the status evaluation value, the real-time characteristic parameters are collected according to the monitoring time node and the failure probability of the monitoring sub-area is generated, and whether to send an alarm signal is determined according to the failure probability.

2. The control method of the vacuum circuit breaker for a 35kv switch cabinet according to claim 1, characterized in that: Before generating the status evaluation value of each monitoring sub-area according to the status evaluation model, the method further includes: Generate a state evaluation model sequence K of the monitoring sub-region according to the historical characteristic parameters of the monitoring sub-region and the corresponding historical state evaluation values, K = (k1, k2 ... kn), where ki is the state evaluation model of the ith monitoring sub-region; Generate the initial state evaluation value sequence A corresponding to the monitoring sub-area according to the state evaluation model corresponding to the monitoring sub-area, A = (a1, a2...an), where ai is the initial evaluation value of the i-th monitoring sub-area; The status evaluation value of each monitoring sub-area is generated according to the initial evaluation value and the comprehensive risk evaluation value of each monitoring sub-area.

3. The control method of the vacuum circuit breaker for a 35kv switch cabinet according to claim 2, characterized in that: Generating a status evaluation value of each monitoring sub-area according to the status evaluation model includes: Establish operating environment risk model and life prediction model; Generate an operation risk assessment value for each monitoring sub-area according to the operation environment risk model; Generate a life risk assessment value for each monitoring sub-area according to the life prediction model; Generate a comprehensive risk evaluation value of the monitoring sub-area according to the operation risk evaluation value and the life risk evaluation value, and generate a state evaluation value of each monitoring sub-area according to the comprehensive risk evaluation value and the initial evaluation value; Mi=ai*(Di*n1+Bi*n2), where Mi is the status evaluation value of the i-th monitoring sub-area, (Di*n1+Bi*n2) is the comprehensive risk assessment value of the i-th monitoring sub-area, Di is the operation risk assessment value of the i-th monitoring sub-area, n1 is the weight coefficient corresponding to the operation risk assessment value, Bi is the life risk assessment value of the i-th monitoring sub-area, and n2 is the weight coefficient corresponding to the life risk assessment value.

4. The control method of the vacuum circuit breaker for a 35kv switch cabinet according to claim 3, characterized in that: The monitoring time nodes of the monitoring sub-areas are set according to the status evaluation values, including: Preset a state evaluation value threshold, calculate the evaluation value difference between the preset state evaluation value threshold and the state evaluation value, and set the time interval t between the current monitoring time node and the next monitoring time node of the monitoring sub-area according to the evaluation value difference; Presetting a first preset evaluation value difference interval, a second preset evaluation value difference interval and a third preset evaluation value difference interval; When the evaluation value difference is within the first preset evaluation value difference interval, setting the first preset time interval t1 as the current time interval; When the evaluation value difference is within the second preset evaluation value difference interval, setting the second preset time interval t2 as the current time interval; When the evaluation value difference is within the third preset evaluation value difference interval, the third preset time interval t3 is set as the current time interval.

5. The control method of the vacuum circuit breaker for the 35kv switch cabinet according to claim 4, characterized in that: Generate failure probabilities for monitoring sub-areas, including: Collect real-time characteristic parameters according to the monitoring time node, set the normal characteristic parameter interval in each monitoring sub-area according to the historical characteristic parameters, and generate the initial fault probability value P1 according to the relationship between the real-time characteristic parameters and the normal characteristic parameter interval; Set the correction factor s according to the life risk assessment value of each monitoring sub-area; The failure probability P is generated according to the initial failure probability value P1 and the correction coefficient s, where P=P1*s.

6. The control method of the vacuum circuit breaker for a 35kv switch cabinet according to claim 5, characterized in that: The correction factor s is set according to the life risk assessment value of each monitoring sub-area, including: Presetting a first preset life risk assessment value interval, a second preset life risk assessment value interval, and a third preset life risk assessment value interval; When the life risk assessment value is within the first preset life risk assessment value interval, the correction coefficient s is set to the first preset correction coefficient s1, that is, s=s1; When the life risk assessment value is within the second preset life risk assessment value interval, the correction coefficient s is set to the second preset correction coefficient s2, that is, s=s2; When the life risk assessment value is in the third preset life risk assessment value interval, the correction coefficient s is set to the third preset correction coefficient s3, that is, s=s3.

7. The control method of the vacuum circuit breaker for a 35kv switch cabinet according to claim 5, characterized in that: Determine whether to send an alarm signal based on the fault probability, including: Presetting a first preset fault probability threshold and a second preset fault probability threshold, sending a corresponding alarm signal and setting an operation and maintenance area according to the relationship between the fault probability and the preset fault probability threshold, and generating an operation and maintenance plan according to the operation and maintenance area, wherein the first preset fault probability threshold is less than the second preset fault probability threshold; When the fault probability is less than the first preset fault probability threshold, no alarm signal is sent; When the fault probability is between the first preset fault probability threshold and the second preset fault probability threshold, a first-level alarm signal is sent and the current monitoring sub-area is set as a first-level operation and maintenance area; When the fault probability is greater than a second preset fault probability threshold, a secondary alarm signal is sent and the current monitoring sub-area is set as a secondary operation and maintenance area; Generate an operation and maintenance plan based on the primary operation and maintenance areas and the secondary operation and maintenance areas.

8. A vacuum circuit breaker for a 35kv switch cabinet, comprising a vacuum interrupter, an operating mechanism and a bracket, characterized in that: Also includes: A monitoring unit, used for establishing a plurality of monitoring sub-areas according to characteristic parameters of the vacuum circuit breaker; An evaluation unit, used for establishing a state evaluation model of the vacuum circuit breaker, and generating a state evaluation value of each monitoring sub-area according to the state evaluation model; The control unit is used to set the monitoring time node of the monitoring sub-area according to the state evaluation value, collect real-time characteristic parameters according to the monitoring time node and generate the failure probability of the monitoring sub-area, and determine whether to send an alarm signal according to the failure probability.

9. The 35kv vacuum circuit breaker for switch cabinet according to claim 8, characterized in that: The evaluation unit comprises: Establish a subunit for generating a state evaluation model sequence K of the monitoring subregion according to the historical characteristic parameters of the monitoring subregion and the corresponding historical state evaluation values, K=(k1, k2...kn), where ki is the state evaluation model of the ith monitoring subregion; The establishing subunit is also used to establish an operating environment risk model and a life prediction model; The initial evaluation subunit is used to generate an initial state evaluation value sequence A corresponding to the monitoring subregion according to the state evaluation model corresponding to the monitoring subregion, where A = (a1, a2 ... an), wherein ai is the initial evaluation value of the i-th monitoring subregion; The initial evaluation subunit is also used to generate an operation risk assessment value for each monitoring sub-area according to the operation environment risk model, generate a life risk assessment value for each monitoring sub-area according to the life prediction model, generate a comprehensive risk assessment value for the monitoring sub-area according to the operation risk assessment value and the life risk assessment value, and generate a status assessment value for each monitoring sub-area according to the comprehensive risk assessment value and the initial assessment value.

10. The 35kv vacuum circuit breaker for switch cabinet according to claim 9, characterized in that: The control unit comprises: A setting subunit is used to calculate the evaluation value difference between the preset state evaluation value threshold and the state evaluation value, and set the time interval t between the current monitoring time node and the next monitoring time node of the monitoring sub-area according to the evaluation value difference; A fault probability prediction subunit is used to generate an initial fault probability value according to the relationship between the real-time characteristic parameter and the normal characteristic parameter interval, set a correction coefficient according to the life risk evaluation value of each monitoring sub-area, and generate a fault probability according to the initial fault probability value and the correction coefficient; The operation and maintenance subunit is used to pre-set a first preset fault probability threshold and a second preset fault probability threshold, send a corresponding alarm signal and set an operation and maintenance area according to the relationship between the fault probability and the preset fault probability threshold, and generate an operation and maintenance plan according to the operation and maintenance area.

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