A device state determination method and system for a new energy generator set

Abstract

This invention relates to the field of new energy power generation technology and discloses a method and system for determining the equipment status of new energy generator sets. The method includes: acquiring the operating parameters of each piece of equipment in a new energy power station to obtain standardized time-series data of the equipment; virtualizing the relationships between the equipment based on the standardized time-series data to generate virtual point data; performing hierarchical modeling on the standardized time-series data of the equipment and configuring equipment status determination rules, which are a two-level status determination rule system including a primary status category and a secondary status detail; based on the configured equipment status determination rules, performing status determination on the operating data of all measuring points of each piece of equipment to obtain the equipment status determined by the status determination rules; and determining the current status of the equipment based on the equipment status determined by the status determination rules and a preset default equipment status. This application achieves the effect of accurately and efficiently determining the equipment status of new energy generator sets.

Description

Technical Field

[0001] This invention relates to the field of new energy power generation technology, specifically a method and system for determining the equipment status of a new energy generator set. Background Technology

[0002] With the rapid development of the new energy power generation industry, wind power, photovoltaic, energy storage, and other new energy units are playing an increasingly important role in energy supply. These new energy units not only provide society with clean and sustainable energy but also promote the optimization and upgrading of the energy structure. However, the widespread application of new energy units has also brought a series of management and monitoring challenges, especially in the areas of equipment status assessment and centralized monitoring.

[0003] In traditional new energy generator monitoring systems, to determine equipment status, a simplified, standardized approach is typically used, relying on status codes provided by the original manufacturer for each individual generator model. These solutions map the operating status of equipment to a unified, standardized format based on the status codes provided by each manufacturer, thus enabling basic monitoring of different devices. For example, some wind power systems, photovoltaic power systems, and energy storage monitoring systems send simplified status codes such as "generating," "standby," and "shutdown" through their built-in control units. The monitoring platform determines whether the generator is operating normally based solely on these basic status codes.

[0004] However, existing technologies for status determination based on status code mappings provided by original equipment manufacturers (OEMs) have significant drawbacks. Firstly, because different manufacturers use different communication protocols and status codes, existing technologies suffer from serious compatibility issues. Achieving centralized monitoring across vendors requires developing dedicated adapters for each type of equipment, which not only increases system complexity but also leads to higher maintenance costs. Secondly, existing solutions typically rely solely on simple status codes for judgment, failing to comprehensively reflect the unit's operating status and hindering in-depth analysis of equipment operation or potential problems. Furthermore, unit status determination largely depends on its own data collection, failing to effectively achieve data synchronization and real-time integration between different devices. Summary of the Invention

[0005] To overcome the shortcomings of existing technologies, this invention provides a method and system for determining the equipment status of new energy generator sets, solving the problems of low accuracy in determining the equipment status of new energy generator sets in existing technologies.

[0006] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: Firstly, this application provides a method for determining the equipment status of a new energy generator set, employing the following technical solution: A method for determining the equipment status of a new energy generator set includes: The operating parameters of each device in the new energy power station are obtained, and standardized time-series data of the device are obtained based on the operating parameters of each device. The operating parameters include device identifier, measurement point name, numerical unit and timestamp. The measurement point name includes at least one of device measurement point, measurement point across the same type of device and measurement point across different types of device. Based on standardized time-series data of devices, the relationships between devices are virtualized, and cross-device referencing and function calculations are performed on the standardized time-series data to generate virtual point data; The standardized time-series data of the equipment is hierarchically modeled, and the status determination rules of the equipment are configured. The status determination rules are a two-level status determination rule system including a first-level status category and a second-level status detail. The determination rules of the second-level status detail represent a composite logical expression that can reference at least one of the equipment measurement points, virtual points and work order information. Based on the status determination rules of the configured devices, the status of the operating data of all measurement points of each device is determined to obtain the device status determined by the status determination rules. The current state of the device is determined based on the device state determined by the state determination rules and the preset default device state.

[0007] The beneficial effects of this invention are as follows: By acquiring the operating parameters of each device and obtaining standardized time-series data, the incompatibility problem of data between different devices can be solved, enabling seamless connection between different devices, achieving efficient data sharing, and expanding the application scope of data in status judgment; by virtualizing the device association relationship and generating virtual point data, cross-device data sharing and integration can be achieved; by configuring a two-level status judgment rule system, refined status judgment can be achieved, accurately determining the maintenance and repair status of equipment, identifying potential problems in advance, and ensuring the stable operation and safety of the power generation system; by performing status judgment based on the judgment rules and determining the current status, it is convenient for accurate operation of subsequent remote control of the unit, accurate calculation and analysis of power loss, and further judgment of equipment health status by combining intelligent algorithms.

[0008] Based on the above technical solution, the present invention can be further improved as follows.

[0009] Furthermore, obtaining standardized time-series data for each device based on its operating parameters includes the following steps: The equipment is modeled, and a standardized equipment code for each device is generated based on a preset unified coding rule. A digital model containing equipment attributes is then constructed. The operating parameters of the equipment are standardized and associated with the corresponding standardized equipment codes to obtain the standardized time-series data of the equipment. Store standardized time-series data of the device after standardization processing.

[0010] The beneficial effects of adopting the above-mentioned preferred technical solution are as follows: by modeling the equipment and generating standardized equipment codes and constructing digital models, the digital representation of the equipment is realized, which facilitates subsequent unified management and analysis; by standardizing the operating parameters and associating them with standardized equipment codes, the data format between different equipment and measuring points is unified, solving the data compatibility problem and facilitating the unified judgment of subsequent status; storing the standardized data facilitates the extraction and use of data during subsequent status judgment, providing a foundation for the accurate judgment of the status of new energy generator sets and laying a data foundation for realizing centralized monitoring and management across manufacturers and platforms.

[0011] Furthermore, the methods for standardizing the operating parameters of the equipment include one or more of the following: unified timestamp format, measurement point code standardization, and unit standardization; among which, measurement point code standardization is based on the meaning of the original measurement point and is converted into a code according to the full English name or abbreviation of the original measurement point.

[0012] The beneficial effects of adopting the above-mentioned preferred technical solution are: by standardizing the timestamp format, measurement point coding, and unit processing of the equipment operating parameters, and converting the measurement point coding into a code according to the original full English name or abbreviation of the measurement point, it is possible to ensure the uniformity of data format between different devices and measurement points, which facilitates the unified judgment of subsequent status.

[0013] Furthermore, when generating virtual point data by cross-device referencing and function calculation of the standardized time series data, if it is for virtual points of the device itself, the function is one or more of the following: maximum value, minimum value, average value, absolute value, variance value, first value, last value, summation value, and count value.

[0014] The beneficial effects of adopting the above-mentioned preferred technical solution are: it can generate virtual point data by using one or more functions such as maximum value and minimum value to cross-device reference and function calculation of standardized time series data for the virtual points of the equipment itself, realize flexible calculation of the virtual points of the equipment itself, provide richer and more accurate data support for subsequent equipment status judgment, help to more accurately identify the operating status and potential problems of the equipment, and thus realize refined status judgment of new energy generator sets.

[0015] Furthermore, when generating virtual point data by performing cross-device referencing and function calculations on the standardized time-series data, if it is for virtual points across similar devices, the function is one or more of the following: average wind speed, total power.

[0016] The beneficial effects of adopting the above-mentioned preferred technical solution are as follows: After obtaining the operating parameters of each device in the new energy power station and obtaining standardized time-series data, cross-device referencing and function calculation are performed on the standardized time-series data. For virtual points across similar devices, virtual point data is generated by calculating functions such as average wind speed and total power. This enables cross-device data sharing in the new energy power station. The average wind speed and total power of all wind turbines in the entire site or a specific type of wind turbine can be used as virtual points for any device in the entire site for status judgment. This helps to improve the accuracy and comprehensiveness of equipment status judgment and solves the problems of overly simplified status judgment and difficulty in sharing cross-device data in the existing technology.

[0017] Furthermore, when generating virtual point data by performing cross-device referencing and function calculations on the standardized time-series data, if it is for virtual points across heterogeneous devices, the function is one or more of the following: maximum value, minimum value, average value, absolute value, variance value, first value, last value, summation value, and count value.

[0018] The beneficial effects of adopting the above-mentioned preferred technical solution are: based on standardized time-series data, it can perform cross-device referencing and function calculations for virtual points across heterogeneous devices, and use functions such as maximum value, minimum value, average value, absolute value, variance value, first value, last value, summation value, and count value to generate virtual point data, providing richer data support for subsequent device status determination, helping to more accurately determine the device status of new energy generator sets, realizing cross-device data sharing and integration, thereby improving the accuracy and reliability of status determination.

[0019] Furthermore, the status determination rules for the configuration device include: Based on the equipment model information, status determination rules are configured in batches for new energy power generation equipment of the same model. The status determination rules adopt a two-level structure, which includes a primary status category and a secondary status detail belonging to the primary status category. The primary status category includes at least one of the following: normal power generation, power-limited operation, standby, maintenance, shutdown, fault, and communication interruption. The secondary status detail is a subdivision of the primary status category based on specific reasons or operating conditions. Configure judgment parameters for each of the secondary status details. The configured judgment parameters include one or more of the following: the judgment rule logical expression, duration, judgment priority parameter, and whether it is enabled for each secondary status detail. The judgment rule logical expression is a composite logical condition composed of multiple data sources and combined by logical operators. The data sources include at least two of the following: original device status codes, collected physical measurement point data, cross-device virtual point data, and work order information from the work order system.

[0020] The beneficial effects of adopting the above-mentioned preferred technical solution are as follows: configuring status determination rules in batches for new energy power generation equipment of the same model can improve the efficiency of rule configuration; the two-level status determination rule system, combining the first-level status category and the second-level status details, can more precisely determine the equipment status; configuring multiple determination parameters for the second-level status details can flexibly adjust the determination conditions; the logical expression of the determination rule is associated with multiple data sources, which can comprehensively determine the status by integrating multiple aspects of information, thereby improving the accuracy and comprehensiveness of status determination.

[0021] Furthermore, based on the status determination rules of the configured devices, when determining the status of the operating data of all measurement points of each device, the determination rules of all secondary status details are sorted from high to low according to the determination priority parameter, and the determination calculation is executed sequentially. Specifically, for the current priority rule, the acquired operating data is substituted into the logical expression of the current priority rule for calculation. If the calculation result meets the condition and the duration reaches the corresponding status duration threshold, the device is determined to enter the secondary status, and subsequent determinations are terminated. If there are multiple rules with the same priority, they are executed one by one in a preset order. When none of the determination rules for the secondary state are met, the determination device enters the preset default state.

[0022] The beneficial effects of adopting the above-mentioned preferred technical solution are as follows: Sorting and calculating the secondary state details according to priority rules allows for prioritizing high-priority states, timely and accurate determination of equipment status, and avoidance of invalid calculations; determining that equipment enters the corresponding secondary state and terminating subsequent determinations only when conditions are met and the duration is sufficient improves accuracy and efficiency; rules with the same priority are executed in a preset order, ensuring the determinism of the determination process; and determining that equipment enters a preset default state when all rules are not met ensures the completeness of equipment status determination, avoids situations with no results, and thus achieves refined and accurate determination of the status of new energy generator sets, improving the reliability and efficiency of equipment operation monitoring.

[0023] Furthermore, the priority order from highest to lowest is as follows: High-priority states include normal power generation state, power-limited operation state, and standby state, and their determination rules are executed first. Low-priority states include maintenance, fault, and shutdown states, and their determination rules are executed subsequently.

[0024] The beneficial effects of adopting the above-mentioned preferred technical solution are as follows: By prioritizing the status determination rules, the rules for determining high-priority states such as normal power generation, power-limited operation, and standby are executed first, followed by the rules for determining low-priority states such as maintenance, fault, and shutdown. This ensures the immediate response of the core operating logic, allows for rapid determination of the equipment's operating status first, and then performs composite verification of abnormal states, thereby improving the efficiency and accuracy of status determination. It also enables a more reasonable allocation of computing resources and processing flow, making equipment status determination more accurate and reliable.

[0025] Secondly, this application provides a system for determining the equipment status of a new energy generator set, which adopts the following technical solution: A system for determining the equipment status of a new energy generator set includes a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, it implements the method for determining the equipment status of a new energy generator set as described in any of the first aspects.

[0026] Compared with the prior art, the present invention has the following advantages: 1. Unified data standards and interface compatibility: By acquiring device operating parameters and obtaining standardized time-series data, the problem of poor device compatibility in existing technologies is solved. Data from devices from different manufacturers can be uniformly converted into a standard format for processing, enabling unified monitoring of devices across different manufacturers. 2. Refined status judgment: By constructing a two-level status judgment rule system, and using equipment measurement points, virtual points and work order information for composite logic judgment, abnormal operating conditions of equipment can be identified more accurately, rather than just relying on simple status codes. 3. Achieve real-time synchronization and integration of cross-device data sharing. By referencing standardized time-series data across devices and performing function calculations to generate virtual point data, the generator set status judgment can accurately rely on data from other types of devices throughout the site, ensuring that the judgment is always based on the most accurate and timely data. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating a method for determining the status of a new energy generator set, as provided in one embodiment of the present invention. Detailed Implementation

[0028] The present invention will be further described in detail below with reference to the embodiments and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0029] The principles and features of the present invention are described below. The embodiments given are only for explaining the present invention and are not intended to limit the scope of the present invention.

[0030] To address the shortcomings of existing technologies, this invention provides a new energy generator set status judgment and centralized monitoring system compatible with different manufacturers' models, improving the accuracy of new energy generator set status judgment and realizing unified monitoring and management of cross-manufacturer equipment.

[0031] This invention employs a flexible and standardized data acquisition and parsing method, enabling equipment from different manufacturers to uniformly transmit its operational data to the monitoring platform and display it in a unified, standardized format. Furthermore, the monitoring platform needs to possess powerful data fusion and analysis capabilities, capable of unified analysis based on the data characteristics of different models, thereby accurately determining the operating status of each unit, achieving centralized monitoring and management across manufacturers and platforms, and improving equipment operating efficiency and fault prediction capabilities.

[0032] This application provides a method for determining the status of a new energy generator set. This method can be executed by an electronic device, which can be a server or a mobile terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The mobile terminal device can be a laptop computer, a desktop computer, etc., but is not limited to these.

[0033] like Figure 1 As shown, a method for determining the status of a new energy generator set includes: S01, obtain the operating parameters of each device in the new energy power station, and obtain the standardized time series data of the device based on the operating parameters of each device. The operating parameters include device identifier, measurement point name, numerical unit and timestamp. The measurement point name includes at least one of device measurement point, measurement point across the same type of device and measurement point across different types of device. In this embodiment of the application, obtaining standardized time-series data of the devices based on the operating parameters of each device includes the following steps: The equipment is modeled, and a standardized equipment code for each device is generated based on a preset unified coding rule. A digital model containing equipment attributes is then constructed. The operating parameters of the equipment are standardized and associated with the corresponding standardized equipment codes to obtain the standardized time-series data of the equipment. Store standardized time-series data of the device after standardization processing.

[0034] Methods for standardizing equipment operating parameters include one or more of the following: unified timestamp format, measurement point code standardization, and unit standardization; among which, measurement point code standardization is based on the meaning of the original measurement point and is converted into a code according to the full English name or abbreviation of the original measurement point.

[0035] In the above implementation, the key dimensions of the equipment (such as site, model, equipment operation number or name, etc.) are first converted into a digital model and implemented in a specific coding format such as regional administrative code, manufacturer model code, equipment serial number, etc., so as to facilitate subsequent judgment and analysis.

[0036] If needed, other dimensions of the equipment, such as region, phase, line, and manufacturer, can also be included in the modeling scope.

[0037] Then, real-time data from the equipment is collected through a data acquisition system. The scope of the collected equipment covers key equipment in new energy power stations (such as wind turbines, photovoltaic inverters, and energy storage converters), and the scope of the collected measurement points covers key physical parameters (such as temperature, pressure, vibration, and current) to obtain the status information of the equipment in real time.

[0038] To ensure the integrity and timeliness of the collected data, the data collection frequency can be set, such as collecting data once every second or every three seconds.

[0039] In addition, data standardization is required before data is stored to ensure consistent data formats across different devices and measuring points, facilitating unified status assessment later. This step primarily involves formatting the raw data collected from different devices, including standardizing timestamp formats, measuring point codes, and units, especially for necessary measuring points involved in status assessment. Measuring point code standardization generally converts the original measuring point's meaning into a code based on its full English name or abbreviation. For example, for a wind turbine status word, the telemetry point's code is Turstatus, with no unit; for wind turbine wind speed, the telemetry point is WindSpeed1, with the unit being m / s.

[0040] Finally, data is stored. Generally, data can be stored using formats such as relational databases, cache databases, time-series databases, and data streams, depending on the needs. This invention uses a combination of a cache database and a time-series database for data storage; a time-series database is a database system specifically designed for processing time-series data.

[0041] S02, based on the standardized time-series data of the devices, the relationship between the devices is virtualized, and cross-device referencing and function calculation are performed on the standardized time-series data to generate virtual point data; In this embodiment of the application, according to S01, the relationship between devices is modeled, such as a certain dependency relationship between device A and device B, and virtual point calculation is performed through a custom function to realize flexible scheduling and application across devices.

[0042] Specifically, for virtual points within a single device, functions can include maximum, minimum, average, absolute, variance, first value, last value, summation, and count. For example, for the wind speed of a fan, its maximum and minimum values ​​over a period of time can be calculated as virtual points. Functions for virtual points within a single device can be extended based on specific monitoring needs. For virtual points across similar devices, functions can include average wind speed and total power. For example, calculating the average wind speed of all fans in the field. Functions for virtual points across similar devices can also be adjusted according to different application scenarios. For virtual points across dissimilar devices, functions can include maximum, minimum, average, absolute, variance, first value, last value, summation, and count. These functions enable data sharing and integration across devices.

[0043] S03, perform hierarchical modeling of the standardized time series data of the equipment and configure the status determination rules of the equipment. The status determination rules are a two-level status determination rule system including a first-level status category and a second-level status detail. The determination rules of the second-level status detail represent a composite logical expression that can reference at least one of the equipment measurement points, virtual points and work order information. In this embodiment of the application, the status determination rules for the configuration device include: Based on the equipment model information, status determination rules are configured in batches for new energy power generation equipment of the same model. The status determination rules adopt a two-level structure, which includes a primary status category and a secondary status detail belonging to the primary status category. The primary status category includes at least one of the following: normal power generation, power-limited operation, standby, maintenance, shutdown, fault, and communication interruption. The secondary status detail is a subdivision of the primary status category based on specific reasons or operating conditions. Configure judgment parameters for each of the secondary status details. The configured judgment parameters include one or more of the following: the judgment rule logical expression, duration, judgment priority parameter, and whether it is enabled for each secondary status detail. The judgment rule logical expression is a composite logical condition composed of multiple data sources and combined by logical operators. The data sources include at least two of the following: original device status codes, collected physical measurement point data, cross-device virtual point data, and work order information from the work order system.

[0044] In the above embodiments, appropriate measurement point rules are configured for different models to ensure that each device can be accurately monitored. In order to maximize the efficiency of state rule determination, this invention configures state rules for batch devices according to the model model in S01, and distinguishes between primary major states and secondary minor states to achieve refined rule division. The key parameters configured include detailed determination rules, duration, determination priority, and whether to enable each secondary minor state.

[0045] The judgment rules are associated with the original status codes of new energy power generation equipment manufacturers, all collected measurement points, virtual points across equipment, and work order operation status. They are combined with operators such as AND, OR, greater than, less than, equal to, contain, and parentheses take priority to perform logical combination judgment and classification.

[0046] The source of the measurement points can be freely selected; it can be any of the current collectable measurement points of the new energy power generation equipment, or any of the virtual points configured in step S01.

[0047] S04, Based on the status determination rules of the configured devices, perform status determination on the operating data of all measuring points of each device to obtain the device status determined by the status determination rules; In this embodiment of the application, when determining the status of all measurement points of each device based on the status determination rules of the configured device, the determination rules of all secondary status details are sorted from high to low according to the determination priority parameter, and the determination calculation is performed sequentially. Specifically, for the current priority rule, the acquired operating data is substituted into the logical expression of the current priority rule for calculation. If the calculation result meets the condition and the duration reaches the corresponding status duration threshold, the device is determined to enter the secondary status, and the subsequent determination is terminated. If there are multiple rules with the same priority, they are executed one by one in a preset order. When none of the determination rules for the secondary state are met, the determination device enters the preset default state.

[0048] Furthermore, the priority order from highest to lowest is as follows: High-priority states include normal power generation state, power-limited operation state, and standby state, and their determination rules are executed first. Low-priority states include maintenance, fault, and shutdown states, and their determination rules are executed subsequently.

[0049] In the above implementation, the calculation can be divided into two levels: the first level is to determine the initial state based on the standard threshold and correlation of the configured measurement point rules, and the second level is to conduct in-depth analysis in combination with work order maintenance records.

[0050] This invention uses regular expressions to match all device measurement points used in the configured status rules, extracts all necessary judgment measurement point data from the database, extracts cases where the device has not closed the work order from the work order system, and combines the duration and priority of all categories of power generation equipment status to comprehensively calculate the status.

[0051] The equipment status classification judgment process adopts a priority-based approach, verifying each judgment condition in turn. The system prioritizes the execution of high-priority status judgment rules. If the condition is not met, it automatically proceeds to the next priority judgment until a matching condition is found or all levels of checks are completed.

[0052] When multiple judgment conditions with the same priority exist, the system will strictly perform the checks one by one in the order defined in the configuration list.

[0053] When all secondary state judgment conditions are not met, the system will return to the preset default state (such as "communication interruption") or the dynamically specified fallback state.

[0054] The state determination calculation can be set with a scheduling frequency, such as making a determination every second. The background records in detail the start time, end time, and duration of each type of primary major state and secondary minor state of the new energy power generation equipment.

[0055] 1) Regarding state priority classification: High priority (running status): This includes, but is not limited to, basic states such as normal power generation, power-limited operation, and standby. These states are directly determined through real-time measurement data (such as power output, pitch angle, and speed) to ensure the immediate response of the core operating logic.

[0056] Low priority (abnormal state): It covers abnormal operating states such as maintenance, failure, and downtime, and requires composite verification by associating with external data sources such as operation and maintenance work order system and fault code library.

[0057] 2) Work order interference elimination mechanism When multiple created but unexecuted work orders exist, the following filtering strategy can be used to resolve the issue of false maintenance status reports caused by work order redundancy: Only work orders created within the last 72 hours will be associated; Exclude work orders that have not started, have not been planned, or have no task description; The status confidence level is determined by introducing a work order validity weight coefficient based on the work order creation time. A preset state transition matrix is ​​used to further prioritize and dynamically arbitrate to resolve conflicts.

[0058] S05, determine the current state of the device based on the device state determined by the state determination rules and the preset default device state.

[0059] In this embodiment of the application, if a specific rule is matched, the corresponding secondary state and its primary state are output; otherwise, the default device state is automatically assigned.

[0060] Subsequently, the equipment is visualized based on user-defined color configurations (e.g., green for normal power generation, red for faults). The unified monitoring page supports sorting, grouping, and filtering of equipment by multiple attributes such as site, phase, line, or model. A global status summary is also provided (displaying the distribution of equipment quantity for each status in numerical or graphical form). Users can drill down to view details by clicking on the equipment panel, including core real-time operating indicators (e.g., wind speed, power), complete measurement point data, and status switching history logs. This achieves an efficient transformation from complex data analysis to an intuitive, interactive monitoring view, significantly improving centralized monitoring efficiency and decision support capabilities.

[0061] In this embodiment of the application, for abnormal rules that are not satisfied in all classification states, the present invention can set to automatically classify them into other shutdown or communication interruption states, or directly process them as undeterminable.

[0062] By designing a unified monitoring page for all new energy wind, solar and energy storage equipment across the entire region or province, the operating status of the equipment can be monitored in a centralized and real-time manner.

[0063] This invention supports user-defined status classification and color display, and can quickly identify the real-time status of the equipment and the overall distribution of the number of equipment statuses through color and other means, and supports filtering the corresponding unit according to the status.

[0064] It supports arranging equipment by station, phase, line, and model based on the modeling results of S01, which facilitates quick location of target equipment and improves monitoring efficiency.

[0065] In addition, it supports the display of unit summary information, showing real-time indicators such as unit wind speed and power collected in S01, and allowing users to quickly view the status information of all measuring points of the unit.

[0066] Specific examples are shown in Tables 1 to 4.

[0067] Table 1: Example Table of Modeling and Data Standardization for New Energy Wind Power Equipment Table 2: Examples of Work Order Identification for New Energy Wind Turbine Units Table 3: Examples of Classification of Primary and Secondary Standard States for New Energy Wind Turbine Units

[0068] Table 4. Example of Communication Interruption Status Determination Rules for a Certain Model of New Energy Wind Turbine

[0069] By adopting a unified data sharing protocol and standardized data format, this invention can solve the problem of data incompatibility between devices, ensuring seamless connection between different devices (wind turbines, photovoltaic inverters, energy storage converters, booster stations, wind measurement towers, AGC, etc.), achieving efficient data sharing, and expanding the application scope of data in the status judgment of new energy generator sets.

[0070] This invention utilizes advanced sensing technology, data analysis, and intelligent algorithms to achieve precise status assessment, particularly for the accurate determination of the maintenance and repair status of generator sets. This allows for the early detection of potential equipment problems, enabling timely maintenance or component replacement, preventing major equipment failures, and ensuring the stable operation and safety of the power generation system. Furthermore, continuous monitoring of equipment operating status through an automated system facilitates accurate remote control of the unit, precise calculation and analysis of power loss, and further assessment of equipment health using intelligent algorithms such as machine learning.

[0071] The present invention has the following technical effects: (1) Unified data standards and interface compatibility: This invention designs a standardized data acquisition and standardization method that is compatible with devices from different manufacturers and converts data from different devices into a unified standard format for processing. In this way, regardless of which manufacturer the device comes from, it can be monitored uniformly through a centralized platform, solving the problem of poor device compatibility in the prior art.

[0072] (2) Refined Status Judgment: This invention does not rely solely on simple status classifications such as "power generation," "standby," and "shutdown," but rather uses more detailed and comprehensive real-time data (such as temperature, power, yaw, lubrication, work orders, etc.) to dynamically assess the unit's operating status. This enables more accurate identification of abnormal operating conditions of the equipment.

[0073] (3) Real-time synchronization and integration of cross-device data sharing: This invention designs an efficient cross-device data synchronization and integration mechanism to ensure that the generator set status judgment can accurately rely on the data of other types of equipment throughout the site. By introducing a unified data format conversion method, data from various types of equipment can be transmitted in a timely manner and seamlessly integrated with the real-time status of new energy wind, solar and energy storage power generation equipment. In addition, by adopting advanced data fusion and intelligent algorithms, the data processing frequency and update timing can be automatically adjusted according to the collaborative relationship between the generator set and other types of equipment, thereby ensuring that the judgment of the generator set status is always based on the most accurate and timely data.

[0074] The following describes a system for determining the equipment status of a new energy generator set, as provided in an embodiment of this application.

[0075] A system for determining the equipment status of a new energy generator set includes a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, it represents the aforementioned method for determining the equipment status of a new energy generator set.

[0076] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0077] In the description of this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0078] In the description of this invention, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0079] In the description of this invention, although embodiments of the invention have been shown and described herein, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of this invention.

[0080] In the description of this invention, all features disclosed in all embodiments of this specification, or steps in all methods or processes implied in the disclosure, may be combined and / or extended or replaced in any way, except for mutually exclusive features and / or steps.

[0081] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Based on the technical essence of the present invention, any simple modifications, equivalent substitutions, and improvements made to the above embodiments within the spirit and principles of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method of determining the state of a device of a new energy power generating unit, characterized by, Includes the following steps: The operating parameters of each device in the new energy power station are obtained, and standardized time-series data of the device are obtained based on the operating parameters of each device. The operating parameters include device identifier, measurement point name, numerical unit and timestamp. The measurement point name includes at least one of device measurement point, measurement point across the same type of device and measurement point across different types of device. Based on standardized time-series data of devices, the relationships between devices are virtualized, and cross-device referencing and function calculations are performed on the standardized time-series data to generate virtual point data; The standardized time-series data of the equipment is hierarchically modeled, and the status determination rules of the equipment are configured. The status determination rules are a two-level status determination rule system including a first-level status category and a second-level status detail. The determination rules of the second-level status detail represent a composite logical expression that can reference at least one of the equipment measurement points, virtual points and work order information. Based on the status determination rules of the configured devices, the status of the operating data of all measurement points of each device is determined to obtain the device status determined by the status determination rules. The current state of the device is determined based on the device state determined by the state determination rules and the preset default device state.

2. The method of claim 1, wherein The process of obtaining standardized time-series data for each device based on its operating parameters includes the following steps: The equipment is modeled, and a standardized equipment code for each device is generated based on a preset unified coding rule. A digital model containing equipment attributes is then constructed. The operating parameters of the equipment are standardized and associated with the corresponding standardized equipment codes to obtain the standardized time-series data of the equipment. Store standardized time-series data of the device after standardization processing.

3. The method for determining the equipment status of a new energy generator set according to claim 2, characterized in that, Methods for standardizing equipment operating parameters include one or more of the following: unified timestamp format, measurement point code standardization, and unit standardization; among which, measurement point code standardization is based on the meaning of the original measurement point and is converted into a code according to the full English name or abbreviation of the original measurement point.

4. The method of claim 1, wherein When generating virtual point data by cross-device referencing and function calculation of the standardized time series data, if it is for virtual points of the device itself, the function is one or more of the following: maximum value, minimum value, average value, absolute value, variance value, first value, last value, summation value, count value.

5. The method of claim 1, wherein When generating virtual point data by cross-device referencing and function calculation of the standardized time-series data, if it is for virtual points across similar devices, the function is one or more of the following: average wind speed, total power.

6. The method for determining the equipment status of a new energy generator set according to claim 1, characterized in that, When generating virtual point data by performing cross-device referencing and function calculations on the standardized time-series data, if it is for virtual points across heterogeneous devices, the function is one or more of the following: maximum value, minimum value, average value, absolute value, variance value, first value, last value, summation value, and count value.

7. The method for determining the equipment status of a new energy generator set according to claim 1, characterized in that, The status determination rules for the configured device include: Based on the equipment model information, status determination rules are configured in batches for new energy power generation equipment of the same model. The status determination rules adopt a two-level structure, which includes a primary status category and a secondary status detail belonging to the primary status category. The primary status category includes at least one of the following: normal power generation, power-limited operation, standby, maintenance, shutdown, fault, and communication interruption. The secondary status detail is a subdivision of the primary status category based on specific reasons or operating conditions. Configure judgment parameters for each of the secondary status details. The configured judgment parameters include one or more of the following: the judgment rule logical expression, duration, judgment priority parameter, and whether it is enabled for each secondary status detail. The judgment rule logical expression is a composite logical condition composed of multiple data sources and combined by logical operators. The data sources include at least two of the following: original device status codes, collected physical measurement point data, cross-device virtual point data, and work order information from the work order system.

8. The method for determining the equipment status of a new energy generator set according to any one of claims 7, characterized in that, Based on the status determination rules of the configured devices, when determining the status of the operating data of all measurement points of each device, the determination rules of all secondary status details are sorted from high to low according to the determination priority parameter, and the determination calculation is executed sequentially. Specifically, for the current priority rule, the acquired operating data is substituted into the logical expression of the current priority rule for calculation. If the calculation result meets the condition and the duration reaches the corresponding status duration threshold, the device is determined to enter the secondary status, and subsequent determinations are terminated. If there are multiple rules with the same priority, they are executed one by one in a preset order. When none of the determination rules for the secondary state are met, the determination device enters the preset default state.

9. The method for determining the equipment status of a new energy generator set according to claim 8, characterized in that, The priority order from highest to lowest is as follows: High-priority states include normal power generation state, power-limited operation state, and standby state, and their determination rules are executed first. Low-priority states include maintenance, fault, and shutdown states, and their determination rules are executed subsequently.

10. A system for determining the equipment status of a new energy generator set, characterized in that, The device includes a processor, a memory, and a computer program stored in the memory. When the computer program is executed by the processor, it implements the device status determination method for a new energy generator set as described in any one of claims 1 to 9.

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