A method and terminal for optimizing inspection of power equipment in a substation

Abstract

The application discloses a kind of substation power equipment's tour optimization method and terminal, after the performance excellent function of power equipment is obtained by statistical calculation, the performance excellent function of power equipment at preset time point is extracted, the performance excellent value of the power equipment at multiple time points is extracted, the minimum performance excellent value is selected, and the tour cycle of substation power equipment is calculated according to the minimum performance excellent value and the performance excellent value of power equipment at preset time point, can be according to the performance excellent value of power equipment, timely according to the defect information of equipment to carry out the state tour work of strong pertinence, beneficial to improve work efficiency, improve the possibility of tour to find equipment defect, to a certain extent, overcome the blindness of tour.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment operation and maintenance, and in particular to a patrol optimization method and terminal for power equipment in a substation. Background Art

[0002] Currently, 500kV substation equipment and facility inspections focus on regular, comprehensive inspections of all equipment and facilities at predetermined intervals. However, they lack the focus on assessing equipment status and risk analysis based on individual defects, operating conditions, and other factors, and adopting targeted inspection cycles and inspection items. To some extent, this inspection model lacks scientific rationality and is somewhat blind, making it difficult to ensure the rationality and effectiveness of inspections. If the inspection cycle is too long, equipment defects cannot be discovered in a timely manner, which can easily lead to equipment failures and increased economic losses. Conversely, if the inspection cycle is too short, it will result in a significant waste of human and material resources. Excessive inspections can also lead to complacency and insensitivity in inspection staff to changes in equipment status. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a patrol optimization method and terminal for substation power equipment, which can carry out highly targeted status patrol work according to the equipment operation status information, which is conducive to improving work efficiency, increasing the possibility of discovering equipment defects during patrol, and overcoming the blindness of patrol to a certain extent.

[0004] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0005] A method for optimizing inspection of power equipment in a substation, comprising the steps of:

[0006] Counting the performance good functions of each component in the power equipment respectively, and combining the performance good functions of all components in the power equipment to obtain the performance good function of the power equipment;

[0007] Extracting the performance excellence values ​​of the power equipment at multiple time points according to the performance excellence function of the power equipment at a preset time point, and selecting the minimum performance excellence value;

[0008] The inspection cycle of the power equipment in the substation is calculated according to the minimum performance excellence value and the performance excellence value of the power equipment at a preset time point, and the power equipment is inspected based on the inspection cycle.

[0009] In order to solve the above technical problems, another technical solution adopted by the present invention is:

[0010] A patrol optimization terminal for substation power equipment includes a memory, a processor, and a computer program stored in the memory and runnable on the processor. The terminal is characterized in that when the processor executes the computer program, each step of the above-mentioned patrol optimization method for substation power equipment is implemented.

[0011] The beneficial effects of the present invention are: after obtaining the performance excellence function of the power equipment through statistical calculation, the performance excellence value of the power equipment at multiple time points is extracted through the performance excellence function of the power equipment at a preset time point, the minimum performance excellence value is selected, and the inspection cycle of the substation power equipment is calculated based on the minimum performance excellence value and the performance excellence value of the power equipment at the preset time point. According to the performance excellence value of the power equipment, targeted status inspection work can be carried out in a timely manner according to the defect information of the equipment, which is conducive to improving work efficiency, increasing the possibility of discovering equipment defects during inspection, and overcoming the blindness of inspection to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a flow chart of a method for optimizing inspection of power equipment in a substation according to an embodiment of the present invention;

[0013] Figure 2 A schematic diagram of a patrol optimization terminal for power equipment in a substation according to an embodiment of the present invention;

[0014] Figure 3 A flowchart showing the specific steps of a method for optimizing inspection of power equipment in a substation according to an embodiment of the present invention;

[0015] Description of labels:

[0016] 1. A terminal for patrolling and optimizing power equipment in a substation; 2. A memory; 3. A processor. DETAILED DESCRIPTION

[0017] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0018] Please refer to Figure 1 The embodiment of the present invention provides a method for optimizing inspection of power equipment in a substation, comprising the steps of:

[0019] Counting the performance good functions of each component in the power equipment respectively, and combining the performance good functions of all components in the power equipment to obtain the performance good function of the power equipment;

[0020] Extracting the performance excellence values ​​of the power equipment at multiple time points according to the performance excellence function of the power equipment at a preset time point, and selecting the minimum performance excellence value;

[0021] The inspection cycle of the power equipment in the substation is calculated according to the minimum performance excellence value and the performance excellence value of the power equipment at a preset time point, and the power equipment is inspected based on the inspection cycle.

[0022] From the above description, it can be seen that the beneficial effects of the present invention are: after the performance excellence function of the power equipment is obtained by statistical calculation, the performance excellence value of the power equipment at multiple time points is extracted through the performance excellence function of the power equipment at the preset time point, the minimum performance excellence value is selected, and the inspection cycle of the substation power equipment is calculated based on the minimum performance excellence value and the performance excellence value of the power equipment at the preset time point. According to the performance excellence value of the power equipment, targeted status inspection work can be carried out in a timely manner according to the defect information of the equipment, which is conducive to improving work efficiency, increasing the possibility of discovering equipment defects during inspections, and overcoming the blindness of inspections to a certain extent.

[0023] Furthermore, the statistical performance function of each component in the power equipment includes:

[0024] Classify components in power equipment into multiple types according to the frequency of defects of each component;

[0025] Different types of components in t n If the performance is excellent before the moment, then the performance function at moment t is:

[0026]

[0027]

[0028] Where n represents the number of types, and p(t) represents t n The probability of failure within unit time △t after time.

[0029] From the above description, we can see that the defect frequencies of various components in power equipment are different, and their corresponding t n The higher the frequency, the higher the corresponding t n The smaller it is, the better the performance value can be adaptively calculated for different types of components according to the frequency of defects, further improving the accuracy of subsequent calculations of patrol cycles.

[0030] Furthermore, the performance good function of the power equipment obtained by combining the performance good functions of all components in the power equipment includes:

[0031] The performance function w(t) of the power equipment at time t is: w(t)=w1(t)w2(t)…w n (t).

[0032] From the above description, it can be seen that the power equipment is a series system composed of various components. Therefore, the function values ​​of each component are multiplied to obtain the excellent function of the power equipment, which further improves the accuracy of subsequent calculation of the patrol cycle.

[0033] Furthermore, extracting the performance excellence values ​​of the power equipment at multiple time points based on the performance excellence function of the power equipment at a preset time point, and selecting the minimum performance excellence value includes:

[0034] According to the performance good function of the power equipment at the preset time point t, the performance good value set P of the power equipment at the preset number N time points within [0, t] is obtained = {P1, P2, P3, ..., P N};

[0035] The minimum good performance value is selected from the set.

[0036] From the above description, it can be seen that the minimum value can be obtained from the historical excellent performance values ​​of the substation power equipment, which facilitates the subsequent targeted calculation of the inspection cycle.

[0037] Furthermore, calculating the inspection period of the substation power equipment according to the minimum performance excellence value and the performance excellence value of the power equipment at a preset time point includes:

[0038] Calculate the patrol period T(t):

[0039]

[0040] Where, P min represents the minimum performance excellence value, and w(t) represents the performance excellence value of the power equipment at a preset time point.

[0041] From the above description, it can be seen that the calculation formula of the inspection cycle is fitted based on the historical data of historical substation equipment status assessment, which increases the possibility of discovering equipment defects during inspections and overcomes the blindness of inspections to a certain extent.

[0042] Please refer to Figure 2 Another embodiment of the present invention provides a patrol optimization terminal for substation power equipment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0043] Counting the performance good functions of each component in the power equipment respectively, and combining the performance good functions of all components in the power equipment to obtain the performance good function of the power equipment;

[0044] Extracting the performance excellence values ​​of the power equipment at multiple time points according to the performance excellence function of the power equipment at a preset time point, and selecting the minimum performance excellence value;

[0045] The inspection cycle of the power equipment in the substation is calculated according to the minimum performance excellence value and the performance excellence value of the power equipment at a preset time point, and the power equipment is inspected based on the inspection cycle.

[0046] From the above description, it can be seen that the beneficial effects of the present invention are: after the performance excellence function of the power equipment is obtained by statistical calculation, the performance excellence value of the power equipment at multiple time points is extracted through the performance excellence function of the power equipment at the preset time point, the minimum performance excellence value is selected, and the inspection cycle of the substation power equipment is calculated based on the minimum performance excellence value and the performance excellence value of the power equipment at the preset time point. According to the performance excellence value of the power equipment, targeted status inspection work can be carried out in a timely manner according to the defect information of the equipment, which is conducive to improving work efficiency, increasing the possibility of discovering equipment defects during inspections, and overcoming the blindness of inspections to a certain extent.

[0047] Furthermore, the statistical performance function of each component in the power equipment includes:

[0048] Classify components in power equipment into multiple types according to the frequency of defects of each component;

[0049] Different types of components in t n If the performance is excellent before the moment, then the performance function at moment t is:

[0050]

[0051]

[0052] Where n represents the number of types, and p(t) represents t n The probability of failure within unit time △t after time.

[0053] From the above description, we can see that the defect frequencies of various components in power equipment are different, and their corresponding t n The higher the frequency, the higher the corresponding t n The smaller it is, the better the performance value can be adaptively calculated for different types of components according to the frequency of defects, further improving the accuracy of subsequent calculations of patrol cycles.

[0054] Furthermore, the performance good function of the power equipment obtained by combining the performance good functions of all components in the power equipment includes:

[0055] The performance function w(t) of the power equipment at time t is: w(t)=w1(t)w2(t)…w n (t).

[0056] From the above description, it can be seen that the power equipment is a series system composed of various components. Therefore, the function values ​​of each component are multiplied to obtain the excellent function of the power equipment, which further improves the accuracy of subsequent calculation of the patrol cycle.

[0057] Furthermore, extracting the performance excellence values ​​of the power equipment at multiple time points based on the performance excellence function of the power equipment at a preset time point, and selecting the minimum performance excellence value includes:

[0058] According to the performance good function of the power equipment at the preset time point t, the performance good value set P of the power equipment at the preset number N time points within [0, t] is obtained = {P1, P2, P3, ..., P N};

[0059] The minimum good performance value is selected from the set.

[0060] From the above description, it can be seen that the minimum value can be obtained from the historical excellent performance values ​​of the substation power equipment, which facilitates the subsequent targeted calculation of the inspection cycle.

[0061] Furthermore, calculating the inspection period of the substation power equipment according to the minimum performance excellence value and the performance excellence value of the power equipment at a preset time point includes:

[0062] Calculate the patrol period T(t):

[0063]

[0064] Where, P min represents the minimum performance excellence value, and w(t) represents the performance excellence value of the power equipment at a preset time point.

[0065] From the above description, it can be seen that the calculation formula of the inspection cycle is fitted based on the historical data of historical substation equipment status assessment, which increases the possibility of discovering equipment defects during inspections and overcomes the blindness of inspections to a certain extent.

[0066] The above-mentioned inspection optimization method and terminal for substation power equipment of the present invention are applicable to the inspection strategy optimization of 500kV substation power equipment. They can carry out targeted status inspection work according to the equipment operation status information, which is conducive to improving work efficiency, increasing the possibility of discovering equipment defects during inspection, and overcoming the blindness of inspection to a certain extent. The following is an explanation through specific implementation methods:

[0067] Example 1

[0068] Please refer to Figure 1 and Figure 3 A method for optimizing inspection of power equipment in a substation, comprising the steps of:

[0069] S1. Counting the performance good functions of each component in the power equipment respectively, and combining the performance good functions of all components in the power equipment to obtain the performance good function of the power equipment.

[0070] Specifically, the components of the power equipment are divided into the first type, the second type, the third type, the fourth type and the fifth type according to the frequency of defects in the components.

[0071] Among them, different types of components are n If the performance is excellent before time t, then the excellent performance value at time t is:

[0072]

[0073]

[0074] Where n represents the number of types, and p(t) represents t n The probability of failure within unit time △t after time.

[0075] In this embodiment, the first type of component 1 is in excellent working condition before time t1, and the performance excellent function w1(t) of component 1 at time t is:

[0076]

[0077] The second type of component 2 is in good working order before time t2, and the performance goodness function w2(t) of component 2 at time t is:

[0078]

[0079] The third type of component 3 is in good working order before time t3, and the performance goodness function w3(t) of component 3 at time t is:

[0080]

[0081] The fourth type of component 4 is in good working order before time t4, and the performance goodness function w4(t) of component 4 at time t is:

[0082]

[0083] The fifth type of component 5 is in good working order before time t5, and the performance goodness function w5(t) of component 5 at time t is:

[0084]

[0085] Among them, w n The value range of (t) is [0,1].

[0086] S12. The performance function w(t) of the power equipment at time t is: w(t) = w1(t)w2(t)…w n (t).

[0087] S2. According to the performance excellence function of the power equipment at a preset time point, extract the performance excellence values ​​of the power equipment at multiple time points, and select the minimum performance excellence value.

[0088] Specifically, step S2 includes the following steps:

[0089] According to the performance good function of the power equipment at the preset time point t, the performance good value set P of the power equipment at the preset number N time points within [0, t] is obtained = {P1, P2, P3, ..., P N};

[0090] Select the minimum performance value P from the set min .

[0091] S3. Calculate an inspection cycle of the substation power equipment according to the minimum performance excellence value and the performance excellence value of the power equipment at a preset time point, and inspect the power equipment based on the inspection cycle.

[0092] Specifically, the inspection cycle T(t) is obtained by fitting the historical data of historical substation equipment status evaluation:

[0093]

[0094] Where, P min Indicates the minimum good performance value.

[0095] Therefore, this embodiment can timely discover equipment defects, reduce economic losses, rationally utilize human and material resources, ensure the rationality and effectiveness of inspection work, improve the efficiency of inspection work, increase the possibility of discovering equipment defects during inspection, and overcome the blindness of inspection to a certain extent.

[0096] Example 2

[0097] Please refer to Figure 2 A patrol optimization terminal 1 for substation power equipment includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, each step of a patrol optimization method for substation power equipment in embodiment 1 is implemented.

[0098] To sum up, the present invention provides a patrol optimization method and terminal for substation power equipment. After statistically calculating the performance excellence function of the power equipment, the performance excellence function of the power equipment at a preset time point is used to extract the performance excellence values ​​of the power equipment at multiple time points, select the minimum performance excellence value, and calculate the patrol cycle of the substation power equipment based on the minimum performance excellence value and the performance excellence value of the power equipment at the preset time point. It can carry out targeted status patrol work in a timely manner according to the defect information of the equipment according to the performance excellence value of the power equipment, which is conducive to improving work efficiency, increasing the possibility of discovering equipment defects during patrol, and overcoming the blindness of patrol to a certain extent.

[0099] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A patrol optimization method for substation power equipment, characterized in that: Including steps: Counting the performance good functions of each component in the power equipment respectively, and combining the performance good functions of all components in the power equipment to obtain the performance good function of the power equipment; The performance function of each component in the power equipment is statistically analyzed separately. The function includes: dividing the components into multiple types according to the defect frequency of each component in the power equipment, and different types of components are classified into different types at t n If the performance is excellent before the moment, then the performance function at moment t is: ； ； Where n represents the number of types, and p(t) represents t n Unit time after moment Probability of internal failure; The performance function of the power equipment is obtained by combining the performance functions of all components in the power equipment, including: the performance function w(t) of the power equipment at time t is: w(t)=w1(t)w2(t)…w n (t); According to the performance excellence function of the power equipment at a preset time point, extracting the performance excellence values ​​of the power equipment at multiple time points, and selecting the minimum performance excellence value includes: according to the performance excellence function of the power equipment at a preset time point t, obtaining the performance excellence value set P={P1, P2, P3, ..., P N }, select the minimum performance good value from the set; Calculating the inspection period of the power equipment in the substation according to the minimum excellent performance value and the excellent performance value of the power equipment at a preset time point includes: calculating the inspection period T(t), and inspecting the power equipment based on the inspection period; ； Where, P min represents the minimum performance excellence value, and w(t) represents the performance excellence value of the power equipment at a preset time point.

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