Equipment status evaluation and operation and maintenance strategy formulation implementation system based on digital twin

Abstract

The present invention discloses a device state evaluation and operation and maintenance strategy formulation implementation system based on digital twins, including a station-level device digital twin and a data center; the station-level device digital twin is used to obtain a first device state evaluation result of the device according to the acquired device information, and send the device information and the first device state evaluation result to the data center; the data center is used to obtain the second device state evaluation result of each station-level device digital twin according to the device information and the first device state evaluation result of each station-level device digital twin, and determine the operation and maintenance level and operation and maintenance strategy of each station-level device digital twin, and send the operation and maintenance strategy to each station-level device digital twin, so that each station-level device digital twin adjusts the operation and maintenance plan. The present invention does not need to consume a lot of human resources and time, can improve the accuracy of equipment state evaluation and operation and maintenance strategy formulation for power equipment, and improve the state evaluation efficiency of power equipment.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and in particular to a system for implementing equipment status evaluation and operation and maintenance strategy formulation based on digital twins. Background Art

[0002] In order to ensure the normal operation of power equipment, the equipment operation and maintenance department needs to regularly evaluate the equipment status of power equipment, formulate the operation and maintenance strategy of power equipment according to the evaluation results, and adjust the operation and maintenance plan of power equipment. The existing technology usually uses manual means to evaluate the equipment status of power equipment, and then formulates the operation and maintenance strategy of power equipment. This method requires a lot of human resources and time, and requires the evaluator to be familiar with both the on-site conditions of power equipment and the equipment principles of power equipment, resulting in low accuracy in the evaluation of the equipment status of power equipment and the formulation of operation and maintenance strategies, low efficiency in the status evaluation of power equipment, and untimely adjustment of the operation and maintenance cycle of power equipment. Therefore, it is urgent to study a system for the implementation of equipment status evaluation and operation and maintenance strategy formulation, which can improve the accuracy of equipment status evaluation and operation and maintenance strategy formulation for power equipment, improve the efficiency of status evaluation of power equipment, and realize dynamic adjustment of the operation and maintenance cycle of power equipment. Summary of the invention

[0003] The present invention provides a digital twin-based device status evaluation and operation and maintenance strategy formulation implementation system to solve the technical problem of how to improve the accuracy of device status evaluation and operation and maintenance strategy formulation for power equipment, and improve the efficiency of status evaluation of power equipment. Based on digital twin technology, power equipment is mapped into a three-dimensional model, and the equipment status of the power equipment is evaluated using a knowledge base and an expert library set in a station-level device digital twin. The knowledge base, standard library, and risk library set in a data center are used to formulate an operation and maintenance strategy for the power equipment based on the evaluation results of the station-level device digital twin, so that the station-level device digital twin adjusts the operation and maintenance plan of the power equipment according to the operation and maintenance strategy, without consuming a lot of human resources and time, improving the accuracy of device status evaluation and operation and maintenance strategy formulation for power equipment, and improving the efficiency of status evaluation of power equipment, and realizing dynamic adjustment of the operation and maintenance cycle of power equipment.

[0004] In order to solve the above technical problems, an embodiment of the present invention provides a digital twin-based device status evaluation and operation and maintenance strategy formulation implementation system, including a station-level device digital twin and a data center;

[0005] The station-level device digital twin is used to obtain device information of a device having a mapping relationship therewith, obtain a first device status evaluation result of the device according to the device information, and send the device information and the first device status evaluation result to the data center;

[0006] The data center is used to obtain a second device status evaluation result of at least one station-level device digital twin based on the device information and the first device status evaluation result of the at least one station-level device digital twin, determine the operation and maintenance level and operation and maintenance strategy of the at least one station-level device digital twin based on the second device status evaluation result, and send the operation and maintenance strategy to the at least one station-level device digital twin, so that the at least one station-level device digital twin adjusts the operation and maintenance plan of the device having a mapping relationship with it according to the operation and maintenance strategy.

[0007] Preferably, the system further comprises a manufacturer end;

[0008] The data center is further used to send the device information of the at least one station-level device digital twin and the first device status evaluation result to the manufacturer end;

[0009] The manufacturer side is used to generate operation and maintenance suggestions for the at least one station-level device digital twin according to the device information of the at least one station-level device digital twin and the first device status evaluation result, and send the operation and maintenance suggestions to the data center.

[0010] Preferably, the data center is also used to obtain the second equipment status evaluation result of the at least one station-level equipment digital twin according to the equipment information and the first equipment status evaluation result of the at least one station-level equipment digital twin and the operation and maintenance suggestions sent by the manufacturer.

[0011] Preferably, the station-level device digital twin is used to obtain a first device status evaluation result of the device according to the device information, specifically:

[0012] Based on the station-level equipment knowledge base and the station-level equipment expert database pre-set in the station-level equipment digital twin, the equipment information is compared and analyzed with the data of the station-level equipment knowledge base and the data of the station-level equipment expert database to obtain the first equipment status evaluation result of the equipment.

[0013] Preferably, the data center is used to obtain the second device status evaluation result of the at least one station-level device digital twin according to the device information of the at least one station-level device digital twin and the first device status evaluation result, specifically:

[0014] Based on the data center knowledge base, data center standard library and data center risk library pre-set in the data center, the equipment information and the first equipment status evaluation result of the at least one station-level equipment digital twin are analyzed to obtain the second equipment status evaluation result of the at least one station-level equipment digital twin.

[0015] Preferably, the manufacturer end is used to generate operation and maintenance suggestions for the at least one station-level device digital twin according to the device information of the at least one station-level device digital twin and the first device status evaluation result, specifically:

[0016] Based on the equipment defect library and manufacturer knowledge base pre-set on the manufacturer side, the equipment information and the first equipment status evaluation result of the at least one station-level equipment digital twin are analyzed, and operation and maintenance suggestions for the at least one station-level equipment digital twin are generated respectively.

[0017] Preferably, the station-level device digital twin is further used to send the device information and the first device status evaluation result to the manufacturer end;

[0018] The manufacturer side is also used to obtain the defect situation of the equipment having a mapping relationship with the station-level equipment digital twin based on the equipment information and the first equipment status evaluation result, using the equipment defect library and the manufacturer knowledge base, generate a defect handling strategy based on the defect situation, and send the defect handling strategy to the station-level equipment digital twin, so that the station-level equipment digital twin handles the defect situation according to the defect handling strategy.

[0019] Preferably, the data center is also used to adjust the evaluation criteria of the equipment according to the equipment operation status, generate the evaluation criteria adjustment results, and send the evaluation criteria adjustment results to the station-level equipment digital twin, so that the station-level equipment digital twin updates the data of the station-level equipment knowledge base and the data of the station-level equipment expert library according to the evaluation criteria adjustment results.

[0020] Preferably, the device information includes static information, dynamic information, configuration information and control signal information.

[0021] Preferably, the static information includes at least the device name, device serial number and manufacturer name;

[0022] The dynamic information includes at least temperature value, pressure value, speed value and current value;

[0023] The configuration information at least includes the equipment installation location, cumulative failure time and cumulative operation time;

[0024] The control signal information includes at least a device status signal and a device alarm signal.

[0025] Compared with the prior art, the beneficial effect of the embodiments of the present invention lies in that, based on the digital twin technology, the power equipment is mapped into a three-dimensional model, and the equipment status of the power equipment is evaluated by using the knowledge base and expert library set in the digital twin of the station-level equipment, and the knowledge base, standard library and risk library set in the data center are used to formulate the operation and maintenance strategy of the power equipment according to the evaluation results of the digital twin of the station-level equipment, so that the digital twin of the station-level equipment adjusts the operation and maintenance plan of the power equipment according to the operation and maintenance strategy, without consuming a lot of human resources and time, thereby improving the accuracy of equipment status evaluation and operation and maintenance strategy formulation of the power equipment, and improving the efficiency of status evaluation of the power equipment, thereby realizing dynamic adjustment of the operation and maintenance cycle of the power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a structural schematic diagram of a digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system provided by an embodiment of the present invention;

[0027] Figure 2 It is a structural schematic diagram of a digital twin of a station-level device provided in an embodiment of the present invention;

[0028] Figure 3 It is a structural schematic diagram of another preferred embodiment of a digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] See also Figure 1 , an embodiment of the present invention provides a digital twin-based device status evaluation and operation and maintenance strategy formulation implementation system, including a station-level device digital twin 101 and a data center 102;

[0031] The station-level device digital twin 101 is used to obtain device information of a device having a mapping relationship therewith, obtain a first device status evaluation result of the device based on the device information, and send the device information and the first device status evaluation result to the data center 102.

[0032] Preferably, the device information includes static information, dynamic information, configuration information and control signal information.

[0033] Preferably, the static information includes at least the device name, device serial number and manufacturer name;

[0034] The dynamic information includes at least temperature value, pressure value, speed value and current value;

[0035] The configuration information at least includes the equipment installation location, cumulative failure time and cumulative operation time;

[0036] The control signal information includes at least a device status signal and a device alarm signal.

[0037] Specifically, static information refers to data that reflects the inherent properties of the equipment and is relatively unchanged, such as the equipment name, equipment serial number, and manufacturer name (manufacturer-level data). Dynamic information refers to data that is variable over time and usually measurable during equipment operation, such as temperature values, pressure values, speed values, and current values. In addition, it also includes dynamic measurement data that can be obtained through measurement and dynamic calculation data that can be obtained through calculation. Configuration information refers to settings and parameters related to equipment operating conditions and operating environment, such as equipment installation location, cumulative failure time, and cumulative operating time. Control signal information refers to various equipment status signals and equipment alarm signals generated or received during equipment production and operation, such as low pressure alarms and protection trip signals.

[0038] Static information and configuration information are entered into various business data systems to form equipment ledgers. The station-level equipment digital twin 101 references the equipment ledgers in various business data systems, and uses the unique equipment scheduling number, equipment installation space location, etc. to make physical and virtual associations, and forms a one-to-one mapping with the corresponding physical equipment, generating digital twin virtual devices with the same static data and configuration, and establishing the basic digital twin structure of "entity-data-virtual".

[0039] Measurable dynamic data is collected and uploaded by sensors, instruments, intelligent patrol terminals and other equipment (such as temperature is collected by temperature sensors or infrared imagers arranged on the equipment body, pressure is collected by remote transmission of the equipment pressure gauge or visual recognition of the dial, speed is collected by equipment motion sensors and timers, current and voltage are collected by current transformers and voltage transformers, and sound is collected by ultrasonic sensors arranged on the equipment body). The dynamic data is updated in real time on the digital twin virtual device, so that the digital twin virtual device has the ability to display the status of physical equipment in real time.

[0040] The control signal data is provided by SCADA in real time and synchronously. The data in SCADA needs to be converted into a format and protocol acceptable to the digital twin. Usually, SCADA and the digital twin are connected by optical fiber or RJ45 interface, and TCP / IP protocol is used for data exchange. At the same time, since SCADA belongs to the production control area, the data collected by the digital twin must pass through the forward and reverse isolation device to avoid network security accidents. While controlling the physical equipment or receiving various status signals of the physical equipment, SCADA sends the signal to the station-level equipment digital twin 101. The station-level equipment digital twin 101 synchronously updates the digital twin virtual device status according to the signal.

[0041] Since the interfaces and protocols of devices and systems such as sensors, instruments, intelligent patrol terminals, SCADA, and business data systems are different, the interfaces and protocols of various data sources must be converted and unified before entering the station-level equipment digital twin 101 for simulation and demonstration, and data preprocessing must be performed to make the data structured and standardized.

[0042] Specifically, in order to achieve the conversion and unification of interfaces and protocols of various data sources, the data is uniformly converted through the intelligent gateway for interface and protocol conversion. The intelligent gateway here does not refer to a specific device, but an overall concept of the device that processes data interfaces and protocols in the network link. Some data is aggregated and processed in the edge computing system after collection and converted into a unified interface and protocol. Some data is directly connected to the digital twin 101 of the station-level device after collection, and the interface and protocol conversion is required. In the intelligent gateway, various network access methods such as LORA, WAPI, LTE230, network cable and optical fiber are converted to RJ-45 interfaces, and various protocols such as 104 protocol and 61850 protocol are uniformly converted to 61850 protocol.

[0043] Data preprocessing includes data deduplication and data cleaning. Data deduplication refers to the use of a bitmap algorithm to deduplicate data of the same size, name, generation time, and data format. Data that cannot be distinguished by the algorithm are marked for manual processing to ensure the uniqueness of the data. Data cleaning refers to the use of cluster analysis algorithms, ARIMA model fitting, time series model fitting and other methods to analyze and process the legality, accuracy, completeness and consistency of data, automatically fill in the data with model fitting or manually assist in modification, replace noise data, and fill in missing values.

[0044] Furthermore, the digital twin 101 of the station-level equipment is mainly composed of physical equipment and virtual equipment, and includes a real-time database, a relational database and a NoSQL database. The real-time database stores structured data of real-time sampling values ​​such as voltage, current, temperature, and pressure, the relational database stores structured data such as equipment ledgers, defects, important alarm information, and report data, and the NoSQL database stores unstructured data such as pictures, audio and video, and documents. Data from different sources and in different formats need to be classified and uniformly coded, and the coding rules and corresponding content form a data dictionary to facilitate manual identification and docking with other systems.

[0045] For the processing of structured data, data from various sources are encoded through data preprocessing, and metadata such as data source, equipment number, equipment name, relative position of components, data type, generation time, etc. are standardized. It is convenient to unify multivariate heterogeneous data for use on digital twins, and also facilitate query, classification and data deepening applications. JSON format can be used for encoding. In order to avoid ambiguity caused by duplicate data, attention should be paid to the unification of names when encoding, such as: Pu'er Converter Station, Pu'er Station, should be unified as Pu'er Converter Station; ACF1, the first large group of AC filters, should be unified as the first large group of AC filters.

[0046] When processing unstructured data, it is necessary to extract the structured information and encode it uniformly. The encoding principles should be consistent with the structured data type.

[0047] It is worth noting that the three-dimensional model of the equipment in the digital twin 101 of the station-level equipment is built using industrial simulation software (CAE). According to the different parameters of different equipment and different components, different physical field simulation models (such as conductor temperature field model, internal current and voltage model, contact wear model, circuit breaker arc chamber action model, mechanism stress model, etc.) are established according to the physical principles of the equipment. In order to shorten the calculation time of the equipment working condition, the order reduction technology is used to reduce the analysis results of the 3D finite element to a ROM model that can be used for one-dimensional system simulation. According to the equipment material parameters, equipment action characteristics, equipment experimental data, equipment operation data, and equipment defect records, simulation model training samples are formed, and simulation models are built for each equipment component and each physical field that needs to be simulated, and model training is carried out through intelligent deep learning technology and recursive neural network technology.

[0048] Measurable dynamic data such as equipment operating status, external current and voltage can be directly displayed on the digital twin 3D modeling according to preset action animations and virtual instruments. For equipment status that cannot be measured during operation and requires CAE simulation, the simulation algorithm extracts real-time operating data from the database for calculation and outputs the simulation results. For the prediction of equipment operating conditions, the simulation algorithm performs trend prediction based on actual conditions and provides early warning for equipment or components that may reach defect levels.

[0049] The reduced-order model can export the three-dimensional space physical quantity distribution result file so that it can be loaded on the 3D model for rendering and display. At the same time, the characteristics, behaviors, formation process and performance of the digital twin are visually described and updated in real time on the three-dimensional modeling of the digital twin, completing the mapping from physical devices to virtual devices. The structural diagram of the station-level equipment digital twin 101 is shown in the figure. Figure 2 shown.

[0050] Preferably, the station-level device digital twin 101 is used to obtain a first device status evaluation result of the device according to the device information, specifically:

[0051] Based on the station-level equipment knowledge base and the station-level equipment expert database pre-set in the station-level equipment digital twin 101, the equipment information is compared and analyzed with the data of the station-level equipment knowledge base and the data of the station-level equipment expert database to obtain the first equipment status evaluation result of the equipment.

[0052] Specifically, the station-level equipment digital twin 101 generates a station-level equipment knowledge base and a station-level equipment expert base based on equipment operation and maintenance experience, equipment defect library, supplier technical support, and equipment management strategy. The station-level equipment digital twin 101 regularly and automatically uses the station-level equipment knowledge base and the station-level equipment expert base to conduct real-time analysis and judgment on equipment operation and maintenance data, simulation results, and forecast trends, and conducts equipment action frequency statistics, equipment loss assessment, environmental impact assessment, and defect anomaly identification. It scores the equipment based on its importance and health as a station-level equipment status evaluation. In one embodiment, the equipment status evaluation results generated by the station-level equipment digital twin 101 based on the equipment information are shown in the following table:

[0053] Table 1 Equipment status evaluation results

[0054]

[0055] The station-level equipment digital twin 101 determines the equipment status evaluation result according to the evaluation deduction value. Different score ranges correspond to different evaluation results, which can be divided into four levels: normal, attention, abnormal, and severe. The more deductions, the worse the equipment status. The evaluation level score ranges for different equipment and different components should be different.

[0056] The data center 102 is used to obtain a second equipment status evaluation result of at least one station-level equipment digital twin 101 based on the equipment information and the first equipment status evaluation result of at least one station-level equipment digital twin 101, and determine the operation and maintenance level and operation and maintenance strategy of the at least one station-level equipment digital twin 101 based on the second equipment status evaluation result, and send the operation and maintenance strategy to the at least one station-level equipment digital twin 101, so that the at least one station-level equipment digital twin 101 adjusts the operation and maintenance plan of the equipment having a mapping relationship with it according to the operation and maintenance strategy.

[0057] Specifically, each station-level device digital twin 101 provides an access interface to the data center 102 through the cloud server, so that the data center 102 can call the data of the station-level device digital twin 101 as needed. The data center 102 uses geographic information modeling and shares map services through the cloud server to enter the accurate three-dimensional geographic information of each site and line. It can fully display the spatial location of all sites and lines, and can also enter a single site to check the operation and maintenance of the device-level digital twin for real-time dynamic interaction. Business system data is connected to the data center 102 through the cloud server, such as network-level production monitoring and command, major risk management and control, major defect tracking, natural disaster warning, equipment management and control hierarchical decision-making and other businesses. According to geographic information modeling, the business content of the corresponding dimensions is hierarchically displayed on the map according to the different dimensions of province, city, district, station or line, and the corresponding real-time visualization dashboard is designed according to the business content to reflect the operation status, major risks, natural disasters, equipment management and control of each dimension in real time, so as to realize the business visualization of the network-level digital twin composed of each station-level device digital twin 101 and the data center 102.

[0058] Preferably, the data center 102 is used to obtain the second device status evaluation result of the at least one station-level device digital twin 101 according to the device information of the at least one station-level device digital twin 101 and the first device status evaluation result, specifically:

[0059] Based on the data center knowledge base, data center standard library and data center risk library pre-set in the data center 102, the equipment information and the first equipment status evaluation result of the at least one station-level equipment digital twin 101 are analyzed to obtain the second equipment status evaluation result of the at least one station-level equipment digital twin 101 respectively.

[0060] Specifically, after receiving the equipment information and the first equipment status evaluation results sent by the digital twins 101 of each station-level equipment, the data center 102 generates a preliminary evaluation result report for each type of equipment, and based on the data center knowledge base, data center standard library, and data center risk library pre-set in the data center 102, further analyzes and judges the equipment operation and maintenance data with low preliminary scores or greater impact on the system, thereby generating a second equipment status evaluation result. The data center 102 performs big data analysis on the preliminary evaluation results of the equipment: from the time dimension, it can explore the trend of changes in the status of various types of equipment over time, thereby guiding the formulation of operation and maintenance cycles and maintenance plans; from the spatial dimension, it can explore the regional defects of various types of equipment, thereby guiding the formulation of differentiated operation and maintenance strategies under different environments; from the category dimension, it can explore the operating conditions of various types of equipment, thereby discovering batch defects and formulating targeted operation and maintenance measures.

[0061] Preferably, the system further comprises a manufacturer end;

[0062] The data center 102 is further used to send the device information of the at least one station-level device digital twin 101 and the first device status evaluation result to the manufacturer end;

[0063] The manufacturer side is used to generate operation and maintenance suggestions for the at least one station-level device digital twin 101 according to the device information of the at least one station-level device digital twin 101 and the first device status evaluation result, and send the operation and maintenance suggestions to the data center 102.

[0064] Preferably, the manufacturer end is used to generate operation and maintenance suggestions for the at least one station-level device digital twin 101 according to the device information of the at least one station-level device digital twin 101 and the first device status evaluation result, specifically:

[0065] Based on the equipment defect library and manufacturer knowledge base pre-set on the manufacturer side, the equipment information and the first equipment status evaluation result of the at least one station-level equipment digital twin 101 are analyzed, and operation and maintenance suggestions for the at least one station-level equipment digital twin 101 are generated respectively.

[0066] It is worth noting that since a large number of equipment design documents and three-dimensional drawings are controlled by the manufacturer, the manufacturer side is added and participates in the operation and maintenance process of the equipment. The manufacturer side communicates with the data center 102 through an encrypted channel. The data center 102 classifies the data sent by the digital twin 101 of each station-level device according to the manufacturer of the device after review, and encrypts and sends it to the manufacturer side corresponding to each device. The manufacturer side determines the equipment operation and maintenance status based on the equipment defect library and manufacturer knowledge base pre-set on the manufacturer side, generates operation and maintenance suggestions, and encrypts the operation and maintenance suggestions and sends them to the data center 102.

[0067] Preferably, the data center 102 is also used to obtain the second equipment status evaluation result of the at least one station-level equipment digital twin 101 according to the equipment information and the first equipment status evaluation result of the at least one station-level equipment digital twin 101 and the operation and maintenance suggestions sent by the manufacturer.

[0068] Preferably, the station-level device digital twin 101 is also used to send the device information and the first device status evaluation result to the manufacturer end;

[0069] The manufacturer side is also used to obtain the defect situation of the equipment having a mapping relationship with the station-level equipment digital twin 101 based on the equipment information and the first equipment status evaluation result, using the equipment defect library and the manufacturer knowledge base, generate a defect handling strategy based on the defect situation, and send the defect handling strategy to the station-level equipment digital twin 101, so that the station-level equipment digital twin 101 handles the defect situation according to the defect handling strategy.

[0070] Specifically, when an emergency defect occurs in a station-level device, the site where the device is located opens the manufacturer's assistance authority, and the station-level device digital twin 101 sends the device information and the first device status evaluation result to the manufacturer. The manufacturer obtains the device information and the first device status evaluation result through the real-time mapping function of the digital twin, and uses the device defect library and the manufacturer knowledge base to obtain the defect conditions of the equipment that has a mapping relationship with the station-level device digital twin 101. According to the defect conditions, a defect handling strategy is generated, and the defect handling strategy is sent to the station-level device digital twin 101, so that the station-level device digital twin 101 handles the defect conditions according to the defect handling strategy. More intuitive point-to-point technical support for sites is achieved, faults are quickly located, and defect handling is accelerated.

[0071] Preferably, the data center 102 is also used to adjust the evaluation criteria of the equipment according to the equipment operation status, generate the evaluation criteria adjustment results, and send the evaluation criteria adjustment results to the station-level equipment digital twin 101, so that the station-level equipment digital twin 101 updates the data of the station-level equipment knowledge base and the data of the station-level equipment expert library according to the evaluation criteria adjustment results.

[0072] Specifically, after the data center 102 generates the second equipment status evaluation result and formulates the equipment operation and maintenance strategy, the evaluation criteria of the equipment are adjusted according to the equipment operation status, such as equipment batch quality, dynamic changes in external risks, improvement of operation and maintenance technology, environmental impact, etc., and the evaluation criteria adjustment results are generated to ensure that the evaluation criteria are timely. The data center 102 sends the evaluation criteria adjustment results to the station-level equipment digital twin 101, so that the station-level equipment digital twin 101 updates the data of the station-level equipment knowledge base and the data of the station-level equipment expert library according to the evaluation criteria adjustment results, and executes the new scoring standards to ensure the accuracy, timeliness and compliance of the initial equipment evaluation results.

[0073] Furthermore, when the data center 102 sends the operation and maintenance strategy to the station-level equipment digital twin 101, the station-level equipment digital twin 101 will link the intelligent patrol system according to the operation and maintenance strategy, dynamically adjust the equipment collection cycle and robot patrol task cycle according to the new equipment operation and maintenance strategy, and highlight the key equipment data on the display interface of the station-level equipment digital twin 101.

[0074] An embodiment of the present invention provides a digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system. Based on the digital twin technology, the power equipment is mapped into a three-dimensional model, and the equipment status of the power equipment is evaluated based on the knowledge base and expert library set in the station-level equipment digital twin. The manufacturer of the equipment generates operation and maintenance suggestions based on the evaluation results of the station-level equipment digital twin. Then, based on the knowledge base, standard library and risk library set in the data center, the operation and maintenance suggestions and the evaluation results of the station-level equipment digital twin are analyzed and judged, and the operation and maintenance strategy of the power equipment is formulated so that the station-level equipment digital twin adjusts the operation and maintenance plan of the power equipment according to the operation and maintenance strategy, without consuming a large amount of human resources and time, thereby improving the accuracy of equipment status evaluation and operation and maintenance strategy formulation for the power equipment, and improving the status evaluation efficiency of the power equipment, so as to realize dynamic adjustment of the operation and maintenance cycle of the power equipment.

[0075] In order to better illustrate the operation process of the digital twin-based device status evaluation and operation and maintenance strategy formulation implementation system provided by the embodiment of the present invention, Figure 3 Provide explanation.

[0076] (1) The digital twin of the station-level equipment determines the equipment defects based on the acquired equipment information, its knowledge base and expert database, determines the defect level, generates the first equipment status evaluation result, and uploads it to the data center.

[0077] (2) The data center receives the first equipment status evaluation results sent by multiple station-level equipment digital twins, all of which are the same model of equipment and the same type of defect information. The data center sends the first equipment status evaluation results to the manufacturer.

[0078] (3) Based on its equipment defect database and knowledge base, the manufacturer determines the possibility of batch defects in the equipment model and sends operation and maintenance suggestions to the data center.

[0079] (4) The data center uses the knowledge base, standard library, and risk library to analyze and judge based on the first equipment status evaluation results sent by the station-level equipment digital twin and the operation and maintenance suggestions sent by the manufacturer, obtains the second equipment status evaluation results, generates an operation and maintenance strategy, and sends it to each station-level equipment digital twin.

[0080] (5) The digital twin of each station-level equipment adjusts the equipment's operation and maintenance plan and handles equipment defects based on the operation and maintenance strategy.

[0081] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system, It is characterized in that Includes digital twins of station-level equipment and data centers; The station-level device digital twin is used to obtain device information of a device having a mapping relationship therewith, obtain a first device status evaluation result of the device according to the device information, and send the device information and the first device status evaluation result to the data center; The data center is used to obtain a second device status evaluation result of the at least one station-level device digital twin according to the device information of the at least one station-level device digital twin and the first device status evaluation result, and determine the operation and maintenance level and operation and maintenance strategy of the at least one station-level device digital twin according to the second device status evaluation result, and send the operation and maintenance strategy to the at least one station-level device digital twin, so that the at least one station-level device digital twin adjusts the operation and maintenance plan of the device having a mapping relationship with it according to the operation and maintenance strategy; The station-level device digital twin is used to obtain a first device status evaluation result of the device according to the device information, specifically: Based on the station-level equipment knowledge base and the station-level equipment expert base pre-set in the digital twin of the station-level equipment, the equipment information is compared and analyzed with the data of the station-level equipment knowledge base and the data of the station-level equipment expert base, and the equipment is scored according to the equipment importance and equipment health, and the evaluation and deduction values ​​of different state quantities are obtained; wherein the state quantities include SF6 pressure, infrared imager temperature measurement, and SF6 pressure reduction trend; Obtaining a first device status evaluation result of the device according to the evaluation deduction value; wherein the first device status evaluation result includes a normal level, a caution level, an abnormal level or a serious level; The data center is used to obtain a second device status evaluation result of at least one station-level device digital twin according to device information of the at least one station-level device digital twin and a first device status evaluation result, specifically: Generate a preliminary evaluation result report of the at least one station-level device digital twin according to the device information of the at least one station-level device digital twin and the first device status evaluation result; Based on the data center knowledge base, data center standard library and data center risk library pre-set in the data center, the preliminary evaluation result report is analyzed to obtain the second equipment status evaluation result of the at least one station-level equipment digital twin respectively; wherein, the analysis of the preliminary evaluation result report includes: mining the trend of various equipment status changes along time from the time dimension, mining various equipment regional defects from the spatial dimension, and mining the operating status of various types of equipment from the category dimension; The data center is also used to: access business system data through a cloud server, and display business content in a hierarchical manner on a map by province, city, district, station or line based on geographic information modeling; wherein the business system data includes network-level production monitoring and command business data, major risk management business data, major defect tracking business data, natural disaster warning business data and equipment management and control hierarchical decision-making business data.

2. The digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system as claimed in claim 1, It is characterized in that The system also includes a manufacturer side; The data center is further used to send the device information of the at least one station-level device digital twin and the first device status evaluation result to the manufacturer end; The manufacturer side is used to generate operation and maintenance suggestions for the at least one station-level device digital twin according to the device information of the at least one station-level device digital twin and the first device status evaluation result, and send the operation and maintenance suggestions to the data center.

3. The digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system as claimed in claim 2, It is characterized in that The data center is also used to obtain a second device status evaluation result of the at least one station-level device digital twin based on the device information and the first device status evaluation result of the at least one station-level device digital twin and the operation and maintenance suggestions sent by the manufacturer.

4. The digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system as claimed in claim 3, It is characterized in that The manufacturer end is used to generate operation and maintenance suggestions for the at least one station-level device digital twin according to the device information of the at least one station-level device digital twin and the first device status evaluation result, specifically: Based on the equipment defect library and manufacturer knowledge base pre-set on the manufacturer side, the equipment information and the first equipment status evaluation result of the at least one station-level equipment digital twin are analyzed, and operation and maintenance suggestions for the at least one station-level equipment digital twin are generated respectively.

5. The digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system as claimed in claim 4, It is characterized in that The station-level device digital twin is further used to send the device information and the first device status evaluation result to the manufacturer end; The manufacturer side is also used to obtain the defect situation of the equipment having a mapping relationship with the station-level equipment digital twin based on the equipment information and the first equipment status evaluation result, using the equipment defect library and the manufacturer knowledge base, generate a defect handling strategy based on the defect situation, and send the defect handling strategy to the station-level equipment digital twin, so that the station-level equipment digital twin handles the defect situation according to the defect handling strategy.

6. The digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system according to claim 1, It is characterized in that The data center is also used to adjust the evaluation criteria of the equipment according to the equipment operation status, generate the evaluation criteria adjustment results, and send the evaluation criteria adjustment results to the station-level equipment digital twin, so that the station-level equipment digital twin updates the data of the station-level equipment knowledge base and the data of the station-level equipment expert library according to the evaluation criteria adjustment results.

7. The digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system as claimed in claim 3, It is characterized in that The device information includes static information, dynamic information, configuration information and control signal information.

8. The digital twin-based equipment status evaluation and operation and maintenance strategy formulation implementation system as claimed in claim 7, It is characterized in that The static information includes at least the device name, device serial number and manufacturer name; The dynamic information includes at least temperature value, pressure value, speed value and current value; The configuration information at least includes the equipment installation location, cumulative failure time and cumulative operation time; The control signal information includes at least a device status signal and a device alarm signal.

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