Transformer grading operation and maintenance management method, device and equipment based on multiple physical quantities, medium and program product

Abstract

The invention relates to a transformer grading operation and maintenance management method and device based on multiple physical quantities, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that operation state data of the transformer are obtained, and the operation state data are used for representing at least two of the electrical operation condition, the oil chromatography condition, the gas state and the insulating property; according to the operation state data, performing health degree evaluation on the transformer to obtain transformer health evaluation information; and constructing transformer grading operation and maintenance management information according to the transformer health assessment information. By adopting the method, the operation and maintenance accuracy of the transformer can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid operation and maintenance, and in particular to a transformer hierarchical operation and maintenance management method and device based on multiple physical quantities, computer equipment, computer readable storage medium and computer program product. BACKGROUND

[0002] With the development of power grid technology, the operation and maintenance requirements for power grid equipment, especially transformers, are also becoming higher and higher. At present, a fixed operation and maintenance strategy is usually adopted to perform operation and maintenance processing on transformers. However, the use condition of a transformer is uncontrollable, and it is obviously unreasonable to use the same operation and maintenance strategy for transformers in a relatively harsh operating environment and transformers in a normal operating environment, resulting in low accuracy of transformer operation and maintenance management. SUMMARY

[0003] Therefore, it is necessary to provide a transformer hierarchical operation and maintenance management method and device based on multiple physical quantities, computer equipment, computer readable storage medium and computer program product, which can improve the accuracy of transformer operation and maintenance management.

[0004] In a first aspect, the present application provides a transformer hierarchical operation and maintenance management method based on multiple physical quantities, comprising:

[0005] obtaining operation state data of a transformer, wherein the operation state data is used to represent at least two of electrical operating conditions, oil chromatographic conditions, gas state and insulation performance;

[0006] performing health degree evaluation on the transformer according to the operation state data to obtain transformer health evaluation information;

[0007] constructing transformer hierarchical operation and maintenance management information according to the transformer health evaluation information.

[0008] In a second aspect, the present application further provides a transformer hierarchical operation and maintenance management device based on multiple physical quantities, comprising:

[0009] an obtaining module configured to obtain operation state data of a transformer, wherein the operation state data is used to represent at least two of electrical operating conditions, oil chromatographic conditions, gas state and insulation performance;

[0010] an evaluation module configured to perform health degree evaluation on the transformer according to the operation state data to obtain transformer health evaluation information;

[0011] a construction module configured to construct transformer hierarchical operation and maintenance management information according to the transformer health evaluation information.

[0012] In a third aspect, the present application also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0013] obtaining operation state data of the transformer, wherein the operation state data is used to represent at least two of electrical operation condition, oil chromatographic condition, gas state and insulation performance;

[0014] performing health degree evaluation on the transformer according to the operation state data to obtain transformer health evaluation information;

[0015] constructing transformer hierarchical operation and maintenance management information according to the transformer health evaluation information.

[0016] In a fourth aspect, the present application also provides a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the following steps:

[0017] obtaining operation state data of the transformer, wherein the operation state data is used to represent at least two of electrical operation condition, oil chromatographic condition, gas state and insulation performance;

[0018] performing health degree evaluation on the transformer according to the operation state data to obtain transformer health evaluation information;

[0019] constructing transformer hierarchical operation and maintenance management information according to the transformer health evaluation information.

[0020] In a fifth aspect, the present application also provides a computer program product comprising a computer program, wherein the computer program is executed by a processor to implement the following steps:

[0021] obtaining operation state data of the transformer, wherein the operation state data is used to represent at least two of electrical operation condition, oil chromatographic condition, gas state and insulation performance;

[0022] performing health degree evaluation on the transformer according to the operation state data to obtain transformer health evaluation information;

[0023] constructing transformer hierarchical operation and maintenance management information according to the transformer health evaluation information.

[0024] The transformer hierarchical operation and maintenance management method, device, computer device, computer readable storage medium and computer program product based on multiple physical quantities can obtain operation state data of the transformer, which can represent at least two of electrical operation state, oil chromatographic state, gas state and insulation performance, can evaluate the health degree of the transformer from the dimensions of electrical operation state, oil chromatographic state, gas state and insulation performance, and can make the transformer health evaluation information obtained by the evaluation more accurate. The transformer hierarchical operation and maintenance management information is constructed based on the transformer health evaluation information, so that the operation and maintenance strategy of the transformer is matched with the operation health degree of the transformer. The transformer hierarchical operation and maintenance management information is the basis for the operation and maintenance of the transformer, so that the operation and maintenance accuracy of the transformer can be improved. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related art, the drawings needed to be used in the description of the embodiments of the present application or the related art will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other related drawings can be obtained by those skilled in the art without creative labor.

[0026] Figure 1 An application environment diagram of the transformer hierarchical operation and maintenance management method based on multiple physical quantities in an embodiment;

[0027] Figure 2 A flowchart of the transformer hierarchical operation and maintenance management method based on multiple physical quantities in an embodiment;

[0028] Figure 3 A flowchart of the step of evaluating the health degree of the transformer according to the operation state data to obtain the transformer health evaluation information in an embodiment;

[0029] Figure 4 A flowchart of the step of constructing the transformer hierarchical operation and maintenance management information according to the transformer health evaluation information in another embodiment;

[0030] Figure 5 A structure block diagram of the transformer hierarchical operation and maintenance management device based on multiple physical quantities in an embodiment;

[0031] Figure 6 An internal structure diagram of the computer device in an embodiment. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0033] It should be noted that the terms "first", "second", and the like used in the present application can be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "include" and "have" and any variations thereof used in the present application are intended to cover non-exclusive inclusion. The term "multiple" used in the present application refers to two or more. The term "and / or" used in the present application refers to one of the options or any combination of multiple options.

[0034] The transformer hierarchical operation and maintenance management method based on multiple physical quantities provided by the embodiments of the present application can be applied to the application environment as shown in Figure 1 The terminal 102 communicates with the server 104 through the network. The data storage system can store the data required to be processed by the server 104. The data storage system can be integrated on the server 104, or placed on the cloud or other network servers. The server 104 obtains the running state data of the transformer, wherein the running state data is used to represent at least two of the electrical running condition, the oil chromatographic condition, the gas state and the insulation performance; according to the running state data, the health degree of the transformer is evaluated to obtain the transformer health evaluation information; according to the transformer health evaluation information, the transformer hierarchical operation and maintenance management information is constructed. The server 104 can push the transformer hierarchical operation and maintenance management information to the terminal 102, so that the user or the operation and maintenance personnel can operate and maintain the transformer according to the transformer hierarchical operation and maintenance management information. The terminal 102 can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, unmanned aerial vehicles, low-altitude flying vehicles, Internet of Things devices and portable wearable devices. The Internet of Things device can be a smart speaker, a smart television, a smart air conditioner, a smart vehicle device, a projection device, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 can be a stand-alone physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0035] In an exemplary embodiment, as shown in Figure 2 A transformer hierarchical operation and maintenance management method based on multiple physical quantities is provided. Taking the server 104 in Figure 1 as an example, the method includes the following steps 202 to 206. Wherein:

[0036] In step 202, operation state data of the transformer is acquired, wherein the operation state data is used to represent at least two of electrical operation condition, oil chromatographic condition, gas state and insulation performance.

[0037] In step 202, the operation state data includes at least one of electrical operation data, oil chromatographic data, gas state data and insulation performance data, the electrical operation data includes at least one of dielectric loss value, capacitance, DC resistance data, winding deformation data, short-circuit impedance, transformation ratio and operation temperature, the DC resistance data includes at least one of DC resistance capacity, inter-phase DC resistance difference value, inter-line DC resistance, average value of three DC resistances and same-site DC resistance change rate, the winding deformation data includes at least one of winding deformation degree data and winding deformation coefficient, the oil chromatographic data includes at least one of moisture content, breakdown voltage, dielectric loss, hydrogen content, acetylene data and oil infiltration amount, the acetylene data includes at least one of acetylene content, total acetylene content and relative acetylene production rate, the gas state data is used to represent gas emission degree, and the insulation performance data includes insulation resistance data, the insulation resistance data includes at least one of insulation resistance value, insulation resistance absorption ratio, insulation resistance change value and insulation resistance polarization index.

[0038] In step 202, the operation state data is acquired by the sensor deployed on the transformer.

[0039] In step 204, health degree of the transformer is evaluated according to the operation state data, and transformer health evaluation information is obtained.

[0040] In step 204, the health degree of the transformer is evaluated according to deviation between the operation state data and standard data corresponding to the operation state data, and the transformer health evaluation information is obtained.

[0041] In step 206, transformer hierarchical operation and maintenance management information is constructed according to the transformer health evaluation information.

[0042] In step 206, the transformer hierarchical operation and maintenance management information is constructed according to the transformer type represented by the transformer health evaluation information.

[0043] In the transformer hierarchical operation and maintenance management method based on multiple physical quantities, the operation state data of the transformer that can represent at least two of the electrical operation state, the oil chromatographic state, the gas state and the insulation performance is acquired, the health degree of the transformer is evaluated from the dimensions of the electrical operation state, the oil chromatographic state, the gas state and the insulation performance, the transformer health evaluation information obtained by the evaluation is more accurate, the transformer hierarchical operation and maintenance management information is constructed based on the transformer health evaluation information, the operation and maintenance strategy of the transformer is matched with the operation health degree of the transformer, and the transformer hierarchical operation and maintenance management information is the basis for the operation and maintenance of the transformer, so that the operation and maintenance accuracy of the transformer can be improved.

[0044] In one exemplary embodiment, as shown in FIG. 3, step 204 includes steps 302 to 308. Wherein: Figure 3

[0045] In step 302, standard data corresponding to the operation state data is acquired, wherein the standard data is used to represent state data of the transformer in a normal operation state.

[0046] The standard data can be a data value or a data range, which is not limited herein.

[0047] Exemplarily, step 302 includes querying the standard data corresponding to the operation state data from a transformer standard operation file.

[0048] Optionally, when the operation state data includes a dielectric loss value, the standard data includes a dielectric loss range under each capacitance limit, and specifically, the capacitance limit is inversely related to the dielectric loss value, for example, the dielectric loss range under a capacitance limit greater than 220 kV is not greater than 0.005; the dielectric loss range under a capacitance limit between 110 kV and 220 kV is not greater than 0.008; and the dielectric loss range under a capacitance limit lower than 110 kV is not greater than 0.015.

[0049] Optionally, when the operation state data includes a phase-to-phase DC resistance difference value, the standard data includes a phase-to-phase DC resistance difference limit value corresponding to the DC resistance capacity and inversely related to the DC resistance capacity; and when the operation state data includes a line-to-line DC resistance, the standard data includes a preset amount (for example, 1%, 2%, etc.) of an average value of three DC resistances, the preset amount of the average value of the three DC resistances corresponding to the DC resistance capacity and inversely related to the DC resistance capacity.

[0050] ​Optionally, when the running state data comprises the moisture content, the standard data comprises a moisture content range under each capacitance limit, and specifically, the capacitance limit and the moisture content range are in an inverse correlation, for example, the moisture content range under the capacitance limit greater than 500 kV is not greater than 15 mg / L; the moisture content range under the capacitance limit between 110 kV and 220 kV is not greater than 25 mg / L; and the moisture content range under the capacitance limit less than 110 kV is not greater than 35 mg / L.

[0051] Optionally, when the running state data comprises the breakdown voltage, the standard data comprises a breakdown voltage range under each capacitance limit, and specifically, the capacitance limit and the breakdown voltage range are in a positive correlation, for example, the breakdown voltage range under the capacitance limit greater than 500 kV is greater than 50 kV; the breakdown voltage range under the capacitance limit between 110 kV and 220 kV is between 35 kV and 50 kV; and the breakdown voltage range under the capacitance limit less than 110 kV is between 30 kV and 35 kV.

[0052] Optionally, when the running state data comprises the dielectric loss, the standard data comprises a dielectric loss range under each capacitance limit, and specifically, the capacitance limit and the dielectric loss range are in an inverse correlation, for example, the dielectric loss range under the capacitance limit greater than 500 kV is not greater than 2%; the dielectric loss range under the capacitance limit between 500 kV and 220 kV is between 4% and 2%.

[0053] Optionally, when the running state data comprises the acetylene content, the standard data comprises an acetylene content range under each capacitance limit, and specifically, the capacitance limit and the acetylene content range are in an inverse correlation, for example, the acetylene content range under the capacitance limit greater than 500 kV is between 5 μL / L and 1 μL / L; and the acetylene content range under the capacitance limit not greater than 500 kV is greater than 5 μL / L.

[0054] Optionally, when the operation state data comprises DC resistance capacity, the standard data comprises a retention resistance capacity change limit value; when the operation state data comprises a same-part DC resistance change rate, the standard data comprises a same-part DC resistance change limit value; when the operation state data comprises electric capacity, the standard data comprises an electric capacity change limit value; when the operation state data comprises winding deformation degree data, the standard data comprises a winding deformation degree limit value; when the operation state data comprises a winding deformation coefficient, the standard data comprises a winding deformation limit coefficient; when the operation state data comprises short-circuit impedance, the standard data comprises a short-circuit impedance change limit value; when the operation state data comprises a transformation ratio, the standard data comprises a transformation limit ratio; when the operation state data comprises a relative ethyne gas production rate, the standard data comprises a relative ethyne gas limit rate; when the operation state data comprises total alkyne content, the standard data comprises a total alkyne limit content; when the operation state data comprises a gas signaling degree, the standard data comprises a gas signaling limit degree; when the operation state data comprises an insulation resistance value, the standard data comprises an insulation resistance limit value; when the operation state data comprises an insulation resistance absorption ratio, the standard data comprises an insulation resistance absorption limit ratio; when the operation state data comprises an insulation resistance change value, the standard data comprises an insulation resistance change limit value; and when the operation state data comprises an insulation resistance polarization index, the standard data comprises an insulation resistance polarization limit index.

[0055] In step 304, data deviation information between the standard data and the operation state data is identified.

[0056] For example, in step 304, when the standard data comprises a data value, a difference value between the standard data and the operation state data is determined as the data deviation information between the standard data and the operation state data; and when the standard data comprises a data range, a matching result between the operation state data and the data range is determined as the data deviation information.

[0057] In step 306, operation state change information of the transformer is obtained by evaluating the operation state change of the transformer according to the operation state data.

[0058] For example, in step 306, operation state change information of the transformer is obtained by evaluating the operation state change rate of the transformer according to the operation state data.

[0059] In step 308, the health degree of the transformer is evaluated according to the data deviation information and the operation state change information, and transformer health evaluation information is obtained.

[0060] Exemplarily, the step 308 comprises: obtaining the dimension correlation between the dimensions in the running state data; and performing health degree evaluation on the transformer according to the dimension correlation between the dimensions, the data deviation information and the running state change information to obtain transformer health evaluation information.

[0061] Further, the performing health degree evaluation on the transformer according to the dimension correlation between the dimensions, the data deviation information and the running state change information to obtain the transformer health evaluation information comprises: for each dimension, performing health degree evaluation on the transformer according to the data deviation information and the running state change information corresponding to the dimension to obtain dimension health evaluation information corresponding to the dimension; selecting target dimensions from the dimensions according to the dimension correlation between the dimensions and the target dimensions satisfying a preset correlation threshold; correcting the dimension health evaluation information corresponding to the target dimensions according to the dimension health evaluation information corresponding to the target dimensions to obtain target dimension health evaluation information; and fusing the target dimension health evaluation information corresponding to the dimensions to obtain the transformer health evaluation information.

[0062] The deviation degree represented by the data deviation information and the health degree represented by the dimension health evaluation information are in an inverse correlation relationship; when the running state change information represents a change towards the standard data, the change degree represented by the running state change information and the health degree represented by the dimension health evaluation information are in a positive correlation relationship; and when the running state change information does not represent a change towards the standard data, the change degree represented by the running state change information and the health degree represented by the dimension health evaluation information are in an inverse correlation relationship.

[0063] Further, the correcting the dimension health evaluation information corresponding to the target dimensions according to the dimension health evaluation information corresponding to the target dimensions to obtain the target dimension health evaluation information comprises: generating a correction coefficient according to a health evaluation information deviation value between the dimension health evaluation information corresponding to the target dimensions and the dimension health evaluation information corresponding to the target dimensions, wherein the health evaluation information deviation value and the correction coefficient are in a positive correlation relationship; and fusing the correction coefficient and the dimension health evaluation information corresponding to the target dimensions to obtain the target dimension health evaluation information, wherein the fusion manner comprises but is not limited to summation fusion and product fusion.

[0064] As an embodiment, the target dimension health assessment information corresponding to each dimension is integrated to obtain the transformer health assessment information, including: according to the dimension weight of each dimension, the target dimension health assessment information corresponding to each dimension is weighted to obtain the target dimension weighted health assessment information corresponding to each dimension, wherein the dimension weight can be set by the user as needed, or can be an empirical value, and can also be related to the target dimension health assessment information corresponding to each dimension, specifically, the dimension weight is positively correlated with the degree of unhealth represented by the target dimension health assessment information; the target dimension weighted health assessment information corresponding to each dimension is integrated to obtain the transformer health assessment information, wherein the fusion method includes but is not limited to sum fusion and product fusion.

[0065] In this embodiment, by obtaining standard data representing the status data of the transformer in normal operating state, the two factors of data deviation and operating status change are taken into account, and the data deviation information between the standard data and the operating status data and the operating status change information representing the degree of change in the operating status of the transformer are used together as the basis for evaluating the health of the transformer, thereby improving the accuracy of the transformer health status assessment.

[0066] In an exemplary embodiment, Figure 4 As shown, step 206 includes steps 402 to 406. Among them:

[0067] Step 402: Identify the transformer type of the transformer based on the transformer health assessment information.

[0068] The transformer type in step 402 is used to characterize the health status.

[0069] Exemplarily, step 402 includes: when the health degree represented by the transformer health assessment information is within a preset health degree range, determining the type corresponding to the preset health degree range as the transformer type of the transformer. For example, when the health degree represented by the transformer health assessment information is below 70%, determining type D as the transformer type of the transformer; when the health degree represented by the transformer health assessment information is between 70% and 80%, determining type C as the transformer type of the transformer; when the health degree represented by the transformer health assessment information is between 88% and 80%, determining type B as the transformer type of the transformer; when the health degree represented by the transformer health assessment information is above 90%, determining type A as the transformer type of the transformer.

[0070] Step 404: construct a transformer operation and maintenance management project and a transformer operation and maintenance management cycle according to the transformer type.

[0071] Exemplarily, the transformer operation and maintenance project is constructed according to the transformer type, including: obtaining a pre-configured operation and maintenance project management file, wherein the operation and maintenance project management file includes a correspondence between each preset transformer type and a preset operation and maintenance project; and querying the operation and maintenance project management file according to the transformer type to obtain the transformer operation and maintenance management project.

[0072] The grade represented by the transformer type is positively correlated with the health degree represented by the transformer health assessment information; the grade represented by the transformer type is inversely correlated with the number of the transformer operation and maintenance management projects; and the grade represented by the transformer type is inversely correlated with the complexity of the transformer operation and maintenance management projects.

[0073] Optionally, in the case that the transformer type is D, the transformer operation and maintenance management project includes at least one of a cover lifting inspection project, a core lifting inspection project, an internal component operation and maintenance project, and a factory return repair project, the internal component includes at least one of a winding and a core, and the component operation and maintenance project includes at least one of a component modification project, a component replacement project, and a component repair project; in the case that the transformer type is C, the transformer operation and maintenance management project includes at least one of a main component replacement project, a main component treatment project, an oil discharge inspection project, a drying treatment project, and a diagnostic test project; in the case that the transformer type is B, the transformer operation and maintenance management project includes at least one of a routine test project, a cleaning project, a maintenance project, an inspection project, and a repair project; and in the case that the transformer type is A, the transformer operation and maintenance management project includes at least one of a live detection project, a maintenance project, a maintenance project, a live water flushing project, and a patrol project.

[0074] Exemplarily, the transformer operation and maintenance cycle is constructed according to the transformer type, including: obtaining a basic operation and maintenance cycle of the transformer; if the transformer type represents that the transformer is in normal operation, the basic operation and maintenance cycle is extended to obtain the transformer operation and maintenance cycle; and if the transformer type represents that the transformer is not in normal operation, the basic operation and maintenance cycle is shortened to obtain the transformer operation and maintenance cycle.

[0075] The grade represented by the transformer type is positively correlated with the cycle length of the transformer operation and maintenance cycle.

[0076] Optionally, in the case that the transformer type is A, any length of time within 3 to 6 years is determined as the transformer operation and maintenance cycle; in the case that the transformer type is B, any length of time within 6 months to 3 years is determined as the transformer operation and maintenance cycle; in the case that the transformer type is C, any length of time within 6 months to 1 month is determined as the transformer operation and maintenance cycle; and in the case that the transformer type is D, any length of time within 1 day or a few hours to 1 month is determined as the transformer operation and maintenance cycle.

[0077] Step 406, fuse the transformer operation and maintenance project and the transformer operation and maintenance cycle to obtain the transformer hierarchical operation and maintenance information.

[0078] In this embodiment, the transformer operation and maintenance project and the transformer operation and maintenance cycle are constructed based on the transformer type, and the transformer type can represent the transformer health assessment information of the transformer, that is, represent the health status of the transformer. In addition, the transformer operation and maintenance project and the transformer operation and maintenance cycle are the basis for generating the transformer hierarchical operation and maintenance information, so that the transformer hierarchical operation and maintenance information can match the health status of the transformer. The transformer hierarchical operation and maintenance information is the basis for the operation and maintenance of the transformer, so the operation and maintenance accuracy of the transformer can be improved.

[0079] As a detailed embodiment, the running state data of the transformer is obtained, wherein the running state data is used to represent at least two of the electrical running state, the oil chromatographic state, the gas state and the insulation performance; the standard data corresponding to the running state data is obtained, wherein the standard data is used to represent the state data of the transformer in the normal running state; the data deviation information between the standard data and the running state data is identified; the running state change of the transformer is evaluated according to the running state data to obtain the running state change information; the dimension correlation between each dimension in the running state data is obtained; the health degree of the transformer is evaluated according to the dimension correlation between each dimension, the data deviation information and the running state change information to obtain the transformer health assessment information.

[0080] Further, according to the transformer health assessment information, the transformer type of the transformer is identified; the preconfigured operation and maintenance project management file is obtained, wherein the operation and maintenance project management file includes the corresponding relationship between each preset transformer type and the preset operation and maintenance project; the transformer operation and maintenance project is obtained by querying the operation and maintenance project management file according to the transformer type; the basic operation and maintenance cycle of the transformer is obtained; if the transformer type represents the normal operation of the transformer, the basic operation and maintenance cycle is extended to obtain the transformer operation and maintenance cycle; if the transformer type represents the abnormal operation of the transformer, the basic operation and maintenance cycle is shortened to obtain the transformer operation and maintenance cycle; the transformer operation and maintenance project and the transformer operation and maintenance cycle are fused to obtain the transformer hierarchical operation and maintenance information.

[0081] Therefore, by obtaining the operation state data of the transformer that can represent at least two of the electrical operation state, the oil chromatographic state, the gas state and the insulation performance, the health degree of the transformer can be evaluated from the dimensions of the electrical operation state, the oil chromatographic state, the gas state and the insulation performance, so that the transformer health evaluation information obtained by the evaluation is more accurate. Based on the transformer health evaluation information, the transformer hierarchical operation and maintenance management information is constructed, so that the operation and maintenance strategy of the transformer matches the operation health degree of the transformer. The transformer hierarchical operation and maintenance management information is the basis for the operation and maintenance of the transformer, so the operation and maintenance accuracy of the transformer can be improved. In addition, based on the transformer type, the transformer operation and maintenance management project and the transformer operation and maintenance management cycle are constructed. The transformer type can represent the transformer health evaluation information of the transformer, that is, the health status of the transformer. In addition, the transformer operation and maintenance management project and the transformer operation and maintenance management cycle are the basis for generating the transformer hierarchical operation and maintenance management information, so that the transformer hierarchical operation and maintenance management information can match the health status of the transformer. The transformer hierarchical operation and maintenance management information is the basis for the operation and maintenance of the transformer, so the operation and maintenance accuracy of the transformer can be improved.

[0082] It should be understood that, although each step in the flowchart involved in the above embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in the above embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be alternately or alternately executed with at least part of other steps or stages. It can be understood that the steps in different embodiments can be freely combined as needed, and various non-contradictory schemes formed by the combination are within the scope of protection of the present application.

[0083] Based on the same inventive concept, the present application also provides a multi-physical quantity based transformer hierarchical operation and maintenance management device for implementing the above-mentioned multi-physical quantity based transformer hierarchical operation and maintenance management method. The problem-solving implementation scheme provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more multi-physical quantity based transformer hierarchical operation and maintenance management device embodiments provided below can refer to the limitations of the multi-physical quantity based transformer hierarchical operation and maintenance management method described above, which will not be repeated here.

[0084] In one exemplary embodiment, as Figure 5As shown, a transformer hierarchical operation and maintenance management device 500 based on multiple physical quantities is provided, comprising: an acquisition module 502, an evaluation module 504, and a construction module 506, wherein:

[0085] The acquisition module 502 is configured to acquire operation state data of the transformer, wherein the operation state data is used to represent at least two of electrical operation condition, oil chromatographic condition, gas state, and insulation performance.

[0086] The evaluation module 504 is configured to evaluate the health degree of the transformer according to the operation state data, to obtain transformer health evaluation information.

[0087] The construction module 506 is configured to construct transformer hierarchical operation and maintenance management information according to the transformer health evaluation information.

[0088] In one embodiment, the evaluation module 504 is further configured to acquire standard data corresponding to the operation state data, wherein the standard data is used to represent state data when the transformer is in a normal operation state; identify data deviation information between the standard data and the operation state data; evaluate operation state changes of the transformer according to the operation state data, to obtain operation state change information; and evaluate the health degree of the transformer according to the data deviation information and the operation state change information, to obtain the transformer health evaluation information.

[0089] In one embodiment, the evaluation module 504 is further configured to acquire dimension correlation between each dimension in the operation state data; and evaluate the health degree of the transformer according to the dimension correlation between each dimension, the data deviation information, and the operation state change information, to obtain the transformer health evaluation information.

[0090] In one embodiment, the construction module 506 is further configured to identify a transformer type of the transformer according to the transformer health evaluation information; construct a transformer operation and maintenance management project and a transformer operation and maintenance management period according to the transformer type; and fuse the transformer operation and maintenance management project and the transformer operation and maintenance management period, to obtain the transformer hierarchical operation and maintenance management information.

[0091] In one embodiment, the construction module 506 is further configured to acquire a preconfigured operation and maintenance project management file, wherein the operation and maintenance project management file comprises a correspondence relationship between each preset transformer type and a preset operation and maintenance project; and query the operation and maintenance project management file according to the transformer type, to obtain the transformer operation and maintenance management project.

[0092] In one embodiment, the construction module 506 is further configured to acquire a basic operation and maintenance period of the transformer; if the transformer type represents that the transformer is in normal operation, then extend the basic operation and maintenance period, to obtain the transformer operation and maintenance management period; and if the transformer type represents that the transformer is not in normal operation, then shorten the basic operation and maintenance period, to obtain the transformer operation and maintenance management period.

[0093] The modules in the transformer hierarchical operation and maintenance management device based on multiple physical quantities can be implemented by software, hardware, or a combination thereof. The modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a memory in the computer device in software form, so that the processor can call and execute the operations corresponding to the modules.

[0094] In an example embodiment, a computer device, which can be a terminal, can have an internal structure as shown in Figure 6 The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for running the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals. The wireless communication can be achieved through WIFI, mobile cellular network, near field communication (NFC), or other technologies. The computer program is executed by the processor to implement a transformer hierarchical operation and maintenance management method based on multiple physical quantities. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball, or touchpad arranged on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0095] Those skilled in the art can understand that Figure 6 The structure shown in the above

[0096] In an example embodiment, a computer device is provided, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0097] In an embodiment, a computer readable storage medium is provided, having stored thereon a computer program which, when executed by a processor, implements the steps of any of the above method embodiments.

[0098] In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of any of the above method embodiments.

[0099] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0100] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by a computer program instructing relevant hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, the processes of the above-mentioned embodiment methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., but is not limited thereto. The processor involved in the embodiments provided in the present application can be a general processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but is not limited thereto.

[0101] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the range disclosed in the present application.

[0102] The above embodiments only express several implementation ways of the present application, and the description is specific and detailed, but it should not be understood as a limitation to the patent scope of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A transformer hierarchical operation and maintenance management method based on multiple physical quantities, characterized in that: The method comprises: Acquiring operating status data of the transformer, wherein the operating status data is used to characterize at least two of electrical operating conditions, oil chromatography conditions, gas conditions, and insulation performance; Performing a health assessment on the transformer according to the operating status data to obtain transformer health assessment information; Based on the transformer health assessment information, transformer hierarchical operation and maintenance management information is constructed.

2. The method according to claim 1, characterized in that The step of performing a health assessment on the transformer according to the operating status data to obtain transformer health assessment information includes: Acquire standard data corresponding to the operating status data, wherein the standard data is used to represent status data of the transformer in a normal operating state; Identifying data deviation information between the standard data and the operating status data; Evaluate the operating state change of the transformer according to the operating state data to obtain operating state change information; The health of the transformer is evaluated based on the data deviation information and the operating status change information to obtain transformer health evaluation information.

3. The method according to claim 2, characterized in that The step of performing a health assessment on the transformer according to the data deviation information and the operating status change information to obtain transformer health assessment information includes: Obtaining dimensional correlation between dimensions in the operating status data; According to the dimensional correlation between the dimensions, the data deviation information and the operating status change information, the health of the transformer is evaluated to obtain transformer health evaluation information.

4. The method according to claim 1, wherein The step of constructing transformer hierarchical operation and maintenance management information based on the transformer health assessment information includes: identifying a transformer type of the transformer according to the transformer health assessment information; According to the transformer type, establish a transformer operation and maintenance management project and a transformer operation and maintenance management cycle; The transformer operation and maintenance management project and the transformer operation and maintenance management cycle are integrated to obtain transformer hierarchical operation and maintenance management information.

5. The method according to claim 4, characterized in that According to the transformer type, a transformer operation and maintenance management project is constructed, including: Obtain a preconfigured operation and maintenance project management file, wherein the operation and maintenance project management file includes a correspondence between each preset transformer type and a preset operation and maintenance project; According to the transformer type, the operation and maintenance project management file is queried to obtain the transformer operation and maintenance management project.

6. The method according to claim 4, characterized in that Based on the transformer type, a transformer operation and maintenance management cycle is constructed, including: Obtaining the basic operation and maintenance cycle of the transformer; If the transformer type indicates that the transformer is operating normally, then the basic operation and maintenance cycle is extended to obtain a transformer operation and maintenance management cycle; If the transformer type indicates that the transformer is not operating normally, the basic operation and maintenance cycle is shortened to obtain a transformer operation and maintenance management cycle.

7. A transformer hierarchical operation and maintenance management device based on multiple physical quantities, characterized in that: The device comprises: an acquisition module, configured to acquire operating status data of the transformer, wherein the operating status data is used to characterize at least two of electrical operating conditions, oil chromatography conditions, gas conditions, and insulation performance; An evaluation module, configured to perform a health evaluation on the transformer according to the operating status data to obtain transformer health evaluation information; A construction module is used to construct transformer hierarchical operation and maintenance management information based on the transformer health assessment information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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