State evaluation system and equipment model evaluation system of wind power equipment

Abstract

The invention relates to a wind power equipment state evaluation system and equipment model evaluation system, and the system comprises a data obtaining module which obtains the collection data of different measurement points of wind power equipment in a power station; the weight setting module sets a measuring point weight coefficient corresponding to each measuring point according to the data acquisition levels of different measuring points; the state evaluation module performs dimension scoring on the wind power equipment according to the acquired data and the measuring point weight coefficient to obtain an integrity score, an accuracy score, a timeliness score and a consistency score of the wind power equipment respectively; and the state evaluation module performs state evaluation on the wind power equipment in the power station according to the multi-dimensional score of the wind power equipment. Through the method and the device, quantitative scoring of the data quality of the wind power equipment is realized, and reasons for abnormal data generation can be found and solved in time, so that accurate and reliable operation of the wind power equipment is ensured, and the problem of how to improve the operation reliability of the wind power equipment is solved.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a state assessment system and an equipment model assessment system for wind power equipment. Background Art

[0002] Wind power generation has generation characteristics such as randomness, volatility and intermittency, which poses a challenge to the stable operation of the power system. Research on wind turbine fault early warning and diagnosis is of great significance for ensuring the safe and stable operation of the power grid, improving the utilization rate of wind power, reducing operation and maintenance costs, and promoting the advancement of wind power technology.

[0003] The variable operating conditions of wind power equipment, harsh climatic conditions and complex electromagnetic environment affect the collection, communication and storage of wind power equipment data, resulting in redundancy, jumps, missing and errors in wind power equipment monitoring data. There are multiple sites, multiple brands and multiple models of wind power equipment, with different years of operation and large differences in unit performance. The measurement points of equipment from different manufacturers are diverse, and the data quality is uneven. When faced with various types of wind power equipment, the coverage and availability of the diagnostic model have become the focus of attention.

[0004] Currently, no effective solution has been proposed for the problem of how to improve the operational reliability of wind power equipment in related technologies. Summary of the invention

[0005] The embodiments of the present application provide a state assessment system and an equipment model assessment system for wind power equipment, so as to at least solve the problem of how to improve the operational reliability of wind power equipment in the related art.

[0006] In a first aspect, an embodiment of the present application provides a state assessment system for wind power equipment, the system comprising a data acquisition module, a weight setting module and a state assessment module;

[0007] The data acquisition module is used to acquire data collected from different measurement points of wind power equipment in the power station;

[0008] The weight setting module is used to set the measurement point weight coefficient corresponding to each measurement point according to the data collection level of different measurement points;

[0009] The state assessment module is used to evaluate the wind power equipment in terms of integrity, accuracy, timeliness and consistency according to the collected data and the measurement point weight coefficients, and obtain the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment respectively;

[0010] The status assessment module is used to perform status assessment on the wind power equipment in the power generation station according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment.

[0011] In some embodiments, the status assessment module, for performing status assessment on the wind power equipment in the power station according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment, comprises:

[0012] The status assessment module is used to calculate the data quality score of each wind power equipment according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment;

[0013] The state evaluation module is used to calculate the data quality score of wind power equipment of the same model in the power generation station according to the data quality score of each wind power equipment;

[0014] The state evaluation module is used to calculate the data quality score of the power generation station according to the data quality scores of the wind power equipment of the same model.

[0015] In some embodiments, the status assessment module is used to calculate the data quality score of each wind power device according to the integrity score, accuracy score, timeliness score and consistency score of the wind power device, including:

[0016] The status assessment module is used to calculate the data quality score of each wind power equipment through B=a*M1+b*M2+c*M3+d*M4, wherein a is the integrity score of the wind power equipment, b is the accuracy score of the wind power equipment, c is the timeliness score of the wind power equipment, d is the consistency score of the wind power equipment, M1 is the integrity weight, M2 is the accuracy weight, M3 is the timeliness weight, and M4 is the consistency weight.

[0017] In some embodiments, the state assessment module is used to calculate the data quality score of the same type of wind turbines in the power station according to the data quality score of each wind turbine, including:

[0018] The state assessment module is used to The data quality scores of wind power equipment of the same model in the power station are calculated, among which B i is the data quality score of the i-th wind turbine equipment, and n is the total number of wind turbine equipment of the same model in the power plant.

[0019] In some embodiments, the state assessment module is used to calculate the data quality score of the power station according to the data quality score of the same type of wind power equipment, including:

[0020] The state assessment module is used to The data quality score of the power plant is calculated, where score i is the data quality score of wind turbine model i, Oi is the model weight of wind turbine model i, and n is the total number of wind turbine models in the power plant.

[0021] In some embodiments, the state assessment module is used to evaluate the integrity dimension of the wind power equipment according to the collected data and the measurement point weight coefficient to obtain the integrity score of the wind power equipment, including:

[0022] The state assessment module is used to The integrity dimension of the wind power equipment is evaluated to obtain the integrity score a of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and a ni is the completeness rate of collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0023] In some embodiments, the state assessment module is used to evaluate the accuracy dimension of the wind power equipment according to the collected data and the measurement point weight coefficient, and obtain the accuracy score of the wind power equipment including:

[0024] The state assessment module is used to The wind power equipment is evaluated in the accuracy dimension to obtain the accuracy score b of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and b ni is the accuracy of the collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0025] In some embodiments, the state assessment module is used to evaluate the wind power equipment in terms of timeliness according to the collected data and the measurement point weight coefficients, and obtain the timeliness score of the wind power equipment, including:

[0026] The state assessment module is used to The wind power equipment is evaluated in terms of timeliness to obtain a timeliness score c of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and c ni is the normal rate of communication of collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0027] In some embodiments, the state assessment module is used to evaluate the consistency dimension of the wind power equipment according to the collected data and the measurement point weight coefficient, and obtain the consistency score of the wind power equipment, including:

[0028] The state assessment module is used to The wind power equipment is evaluated in consistency dimension to obtain the consistency score d of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and d ni is the consistency rate of the collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0029] In a second aspect, an embodiment of the present application provides an equipment model evaluation system for wind power equipment, the construction of the system is based on the state evaluation system for wind power equipment described in the first aspect above, and the system includes:

[0030] The model evaluation module is used to perform model coverage evaluation and model availability evaluation on the equipment models applied to the wind power equipment according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment, wherein the model coverage evaluation represents the ratio of the number of wind power equipment in normal operation of any equipment model to the total data of wind power equipment in the power plant, and the model availability evaluation represents the ratio of the number of equipment models in normal operation of any wind power equipment to the total number of equipment models.

[0031] Compared with the related art, the embodiment of the present application provides a state assessment system and an equipment model assessment system for wind power equipment, wherein the state assessment system includes: a data acquisition module, which is used to acquire collected data from different measurement points of wind power equipment in a power plant; a weight setting module, which is used to set the measurement point weight coefficient corresponding to each measurement point according to the data collection level of different measurement points; a state assessment module, which is used to evaluate the wind power equipment in terms of integrity, accuracy, timeliness and consistency according to the collected data and the measurement point weight coefficient, and obtain the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment respectively; the state assessment module, which is used to evaluate the state of the wind power equipment in the power plant according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment. Through the state assessment system, quantitative scoring of the data quality of the wind power equipment is achieved, and the causes of abnormal data can be discovered and resolved in a timely manner, thereby ensuring the accurate and reliable operation of the wind power equipment and solving the problem of how to improve the operational reliability of the wind power equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0033] Figure 1 is a structural block diagram of a wind power equipment status assessment system provided according to an embodiment of the present application;

[0034] Figure 2It is a schematic diagram of a flow chart corresponding to a wind power equipment status assessment system provided in an embodiment of the present application;

[0035] Figure 3 It is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0037] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0038] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0039] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0040] The present application provides a wind power equipment status assessment system. Figure 1 is a structural block diagram of a wind power equipment status assessment system provided according to an embodiment of the present application, such as Figure 1 As shown, the system includes a data acquisition module 11, a weight setting module 12 and a state evaluation module 13;

[0041] The data acquisition module 11 is used to acquire the collected data from different measurement points of the wind power equipment in the power station;

[0042] The weight setting module 12 is used to set the measurement point weight coefficient corresponding to each measurement point according to the data collection level of different measurement points;

[0043] The state evaluation module 13 is used to evaluate the wind power equipment in terms of integrity, accuracy, timeliness and consistency according to the collected data and the weight coefficient of the measuring points, and obtain the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment respectively;

[0044] The status assessment module 13 is used to perform status assessment on the wind power equipment in the power generation station according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment.

[0045] In some specific embodiments, specifically, the state assessment module 13 is used to evaluate the integrity dimension of the wind power equipment according to the collected data and the measurement point weight coefficient, and the integrity score of the wind power equipment is obtained, including:

[0046] Status assessment module 13, used to The integrity dimension of the wind power equipment is evaluated to obtain the integrity score a of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and a ni is the completeness rate of collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0047] In some specific embodiments, specifically, the state assessment module 13 is used to evaluate the accuracy dimension of the wind power equipment according to the collected data and the measurement point weight coefficient, and the accuracy score of the wind power equipment is obtained, including:

[0048] Status assessment module 13, used to The wind power equipment is evaluated in the accuracy dimension to obtain the accuracy score b of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and b ni is the accuracy of the collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0049] In some specific embodiments, specifically, the state evaluation module 13 is used to evaluate the timeliness dimension of the wind power equipment according to the collected data and the measurement point weight coefficient, and obtain the timeliness score of the wind power equipment including:

[0050] Status assessment module 13, used to The wind power equipment is evaluated in terms of timeliness, and the timeliness score c of the wind power equipment is obtained, where Ki is the total number of measurement points of the wind power equipment, and c ni is the normal rate of communication of collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0051] In some specific embodiments, specifically, the state evaluation module 13 is used to evaluate the consistency dimension of the wind power equipment according to the collected data and the measurement point weight coefficient, and obtain the consistency score of the wind power equipment including:

[0052] Status assessment module 13, used to The consistency dimension of the wind power equipment is evaluated to obtain the consistency score d of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and d ni is the consistency rate of the collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

[0053] In some specific embodiments, specifically:

[0054] The status assessment module 13 is used to calculate the data quality score of each wind power equipment according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment;

[0055] The status evaluation module 13 is used to calculate the data quality score of the same type of wind power equipment in the power station according to the data quality score of each wind power equipment;

[0056] The status evaluation module 13 is used to calculate the data quality score of the power plant according to the data quality scores of the same type of wind power equipment.

[0057] In some preferred embodiments, preferably, the status assessment module 13 is used to calculate the data quality score of each wind power equipment through B=a*M1+b*M2+c*M3+d*M4, wherein a is the integrity score of the wind power equipment, b is the accuracy score of the wind power equipment, c is the timeliness score of the wind power equipment, d is the consistency score of the wind power equipment, M1 is the integrity weight, M2 is the accuracy weight, M3 is the timeliness weight, and M4 is the consistency weight.

[0058] In some preferred embodiments, preferably, the state evaluation module 13 is used to The data quality scores of wind power equipment of the same model in the power station are calculated, among which B i is the data quality score of the i-th wind turbine equipment, and n is the total number of wind turbine equipment of the same model in the power plant.

[0059] In some preferred embodiments, preferably, the state evaluation module 13 is used to The data quality score of the power station is calculated, where score i is the data quality score of wind turbine model i, Oi is the model weight of wind turbine model i, and n is the total number of wind turbine models in the power plant.

[0060] Through the above application embodiments, the data quality of wind power equipment is quantitatively scored, thereby ensuring that the operating data of wind power equipment is accurate and reliable. Data quality is the basis for wind power equipment operation monitoring, fault diagnosis and early warning. If there are errors or anomalies in the data, it will directly affect the accuracy and reliability of the early warning diagnosis model. Therefore, by scoring the data quality, data problems can be discovered and solved in a timely manner, and the accuracy and completeness of the data can be improved.

[0061] The embodiment of the present application provides a state assessment system for wind power equipment, wherein the state assessment module 13 is further used to calculate the completeness rate a of the collected data at each measurement point on the wind power equipment. ni , data collection accuracy b ni , Collection data communication normal rate c ni, the consistency rate of collected data d ni , specifically:

[0062] Completeness rate of collected data at measuring points:

[0063] a ni =A1 / B1*100%

[0064] Among them, A1 is the number of elements actually assigned in the collected data, and B1 is the number of elements expected to be assigned in the collected data.

[0065] Accuracy of data collected at measuring points:

[0066] b ni =1-(X3+X4+X5+X6)

[0067] Among them, X3=1-A3 / B3*100%, X4=A4 / B4*100%, X5=A5 / B5*100%, X6=A6 / B6*100%, A3 is the number of elements in the collected data that are actually assigned non-empty values, B3 is the number of elements in the collected data that are expected to be assigned values, A4 is the number of elements in the collected data that are assigned out-of-range values, B4 is the number of collected data elements that are evaluated, A5 is the number of elements in the collected data that are assigned non-refreshed repeated values, B5 is the number of collected data elements that are evaluated, A6 is the number of elements in the collected data that are judged to have unreasonable data values, and B6 is the number of collected data elements that are evaluated.

[0068] Normal rate of data collection communication at the measurement point:

[0069] c ni =A7 / B7*100%

[0070] Among them, A7 is the number of data elements with normal communication status in the collected data, and B7 is the number of evaluated collected data elements.

[0071] Consistency rate of collected data at measurement points:

[0072] d ni =A8 / B8*100%

[0073] Among them, A8 is the number of elements that remain consistent in the collected data, and B8 is the number of elements in the evaluated collected data.

[0074] The embodiment of the present application provides a device model evaluation system for wind power equipment. The system is constructed based on the state evaluation system for wind power equipment in the first aspect above. The system includes:

[0075] The model evaluation module is used to perform model coverage evaluation and model availability evaluation on the equipment models applied to the wind power equipment according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment. The model coverage evaluation represents the ratio of the number of wind power equipment in normal operation of any equipment model to the total data of wind power equipment in the power plant, and the model availability evaluation represents the ratio of the number of equipment models in normal operation of any wind power equipment to the total number of equipment models.

[0076] In some of the specific embodiments, specifically, the model coverage evaluation:

[0077] This embodiment defines two key parameters: the total number of devices in the field m1, which represents the total number of all devices in the entire system or field (including devices of various types and specifications), and the number of devices that can operate normally in a certain model m2, which is the number of devices that can maintain a stable operating state after the specific model is deployed and operated. On this basis, the concept of model coverage m is introduced. This indicator is calculated by calculating the ratio of the number of devices m2 that can operate normally in a certain model to the total number of devices m1 in the field, and multiplying it by 100% to obtain a percentage form, that is, m = (m2 / m1) * 100%, to intuitively and accurately reflect the coverage and applicability of the model in the entire field. Through the model coverage evaluation, equipment manufacturers, model developers, and system operation and maintenance personnel can more scientifically evaluate the performance of the model, provide strong data support and decision-making basis for the optimization and upgrading of the model, the selection and configuration of the equipment, and the overall planning and layout of the system, thereby improving the overall efficiency and reliability of the system.

[0078] In some specific embodiments, specifically, the model availability evaluation is:

[0079] This embodiment defines two core sets: one is the set n1 containing all available models, which comprehensively covers all models that may be deployed on the device; the other is the set n2 of models that can run normally on a single device. On this basis, the concept of model availability n is introduced, which is an indicator used to quantify the compatibility and support degree of a single device for a model. The model availability is defined as the ratio of the model set n2 on which the device can run normally to the set n1 of all models, and multiplied by 100% to get the percentage form, that is, n = n2 / n1*100%. It provides equipment manufacturers, model developers and system operation and maintenance personnel with an efficient and accurate tool for evaluating the compatibility of equipment with models and the availability of models on equipment, thereby guiding the optimal deployment of models and the upgrade and improvement of equipment, and further improving the overall performance and reliability of the system.

[0080] Figure 2 is a flow chart corresponding to the wind power equipment status assessment system provided in the embodiment of the present application, such as Figure 2As shown in the figure, the equipment model (such as the early warning diagnosis model) is an important tool for early warning and diagnosis of wind power equipment faults, and its operation effect directly affects the operational safety and reliability of wind power equipment. The operation of the early warning diagnosis model is evaluated based on the score of each measuring point of the wind power equipment, and two indicators, the model coverage rate and the model applicability rate of the equipment, are proposed. In other words, by scoring the data quality of each measuring point, we can understand the operation of the early warning diagnosis model in each wind power equipment, timely discover problems in the model operation, and carry out targeted optimization and improvement, thereby improving the accuracy and reliability of the early warning diagnosis model.

[0081] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0082] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0083] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0084] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0085] In addition, in combination with the equipment model evaluation system for wind power equipment in the above embodiments, the present application embodiment can provide a storage medium for implementation. The storage medium stores a computer program; when the computer program is executed by a processor, the method corresponding to the equipment model evaluation system for wind power equipment in any of the above embodiments is implemented.

[0086] In one embodiment, a computer device is provided, which may be a terminal. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected via a system bus. The processor of the computer device is used 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 the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method corresponding to an equipment model evaluation system of a wind power equipment is implemented. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0087] In one embodiment, Figure 3 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application, such as Figure 3 As shown, an electronic device is provided, which may be a server, and its internal structure diagram may be as shown in Figure 3 As shown. The electronic device includes a processor, a network interface, an internal memory and a non-volatile memory connected through an internal bus, wherein the non-volatile memory stores an operating system, a computer program and a database. The processor is used to provide computing and control capabilities, the network interface is used to communicate with an external terminal through a network connection, the internal memory is used to provide an environment for the operation of the operating system and the computer program, the computer program is executed by the processor to implement a method corresponding to a device model evaluation system for wind power equipment, and the database is used to store data.

[0088] Those skilled in the art will understand that Figure 3 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0089] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0090] Those skilled in the art should understand that the technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0091] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A wind power equipment status assessment system, characterized in that: The system includes a data acquisition module, a weight setting module and a state evaluation module; The data acquisition module is used to acquire data collected from different measurement points of wind power equipment in the power station; The weight setting module is used to set the measurement point weight coefficient corresponding to each measurement point according to the data collection level of different measurement points; The state assessment module is used to evaluate the wind power equipment in terms of integrity, accuracy, timeliness and consistency according to the collected data and the measurement point weight coefficients, and obtain the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment respectively; The status assessment module is used to perform status assessment on the wind power equipment in the power generation station according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment.

2. The system according to claim 1, characterized in that The state assessment module, for performing state assessment on the wind power equipment in the power station according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment, comprises: The status assessment module is used to calculate the data quality score of each wind power equipment according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment; The state evaluation module is used to calculate the data quality score of wind power equipment of the same model in the power generation station according to the data quality score of each wind power equipment; The state evaluation module is used to calculate the data quality score of the power generation station according to the data quality scores of the wind power equipment of the same model.

3. The system according to claim 2, characterized in that The state assessment module is used to calculate the data quality score of each wind power equipment according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment, including: The status assessment module is used to calculate the data quality score of each wind power equipment through B=a*M1+b*M2+c*M3+d*M4, wherein a is the integrity score of the wind power equipment, b is the accuracy score of the wind power equipment, c is the timeliness score of the wind power equipment, d is the consistency score of the wind power equipment, M1 is the integrity weight, M2 is the accuracy weight, M3 is the timeliness weight, and M4 is the consistency weight.

4. The system according to claim 2, characterized in that The state evaluation module is used to calculate the data quality scores of wind power equipment of the same model in the power generation station according to the data quality scores of each wind power equipment, including: The state assessment module is used to The data quality scores of wind power equipment of the same model in the power station are calculated, among which B i is the data quality score of the i-th wind turbine equipment, and n is the total number of wind turbine equipment of the same model in the power plant.

5. The system according to claim 2, characterized in that The state evaluation module is used to calculate the data quality score of the power station according to the data quality score of the same type of wind power equipment, including: The state assessment module is used to The data quality score of the power plant is calculated, where score i is the data quality score of wind turbine model i, Oi is the model weight of wind turbine model i, and n is the total number of wind turbine models in the power plant.

6. The system according to claim 1, characterized in that The state assessment module is used to evaluate the integrity dimension of the wind power equipment according to the collected data and the measurement point weight coefficient to obtain the integrity score of the wind power equipment, including: The state assessment module is used to The integrity dimension of the wind power equipment is evaluated to obtain the integrity score a of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and a ni is the completeness rate of collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

7. The system according to claim 1, characterized in that The state evaluation module is used to evaluate the accuracy dimension of the wind power equipment according to the collected data and the measurement point weight coefficient, and obtain the accuracy score of the wind power equipment, including: The state assessment module is used to The wind power equipment is evaluated in the accuracy dimension to obtain the accuracy score b of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and b ni is the accuracy of the collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

8. The system according to claim 1, characterized in that The state evaluation module is used to evaluate the wind power equipment in terms of timeliness according to the collected data and the measurement point weight coefficients, and obtain the timeliness score of the wind power equipment, including: The state assessment module is used to The wind power equipment is evaluated in terms of timeliness to obtain a timeliness score c of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and c ni is the normal rate of communication of collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

9. The system according to claim 1, characterized in that The state evaluation module is used to evaluate the consistency dimension of the wind power equipment according to the collected data and the measurement point weight coefficient to obtain the consistency score of the wind power equipment, including: The state assessment module is used to The wind power equipment is evaluated in consistency dimension to obtain the consistency score d of the wind power equipment, where Ki is the total number of measurement points of the wind power equipment, and d ni is the consistency rate of the collected data at the measuring point, and Li is the measuring point weight coefficient of the measuring point.

10. A wind power equipment model evaluation system, characterized in that: The system is constructed based on the wind power equipment status assessment system according to any one of claims 1 to 9, and the system comprises: The model evaluation module is used to perform model coverage evaluation and model availability evaluation on the equipment models applied to the wind power equipment according to the integrity score, accuracy score, timeliness score and consistency score of the wind power equipment, wherein the model coverage evaluation represents the ratio of the number of wind power equipment in normal operation of any equipment model to the total data of wind power equipment in the power plant, and the model availability evaluation represents the ratio of the number of equipment models in normal operation of any wind power equipment to the total number of equipment models.

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