A system for building equipment subtype standard point model

Abstract

The present invention discloses a system for constructing a standard point model of a sub-type of equipment, and relates to the technical field of data processing. The system for constructing a standard point model of a sub-type of equipment uses a multidimensional feature clustering algorithm to hierarchically divide the equipment according to the type, function and operating environment characteristics of the primary equipment through a hierarchical division module, and establishes a multi-level equipment sub-type model. The equipment coding module generates equipment point codes through dynamic coding rules according to the hierarchical structure, functional characteristics and environmental characteristics of the equipment. The point model construction module constructs a standard equipment point model based on the inspection specification requirements, combined with the equipment point code and the sub-type model. The point optimization module analyzes the data validity of each monitoring point, calculates the point compliance index, and optimizes the equipment point model according to the comparison results. Through this system, the intelligent level of equipment point management can be effectively improved, and accurate monitoring and data management of primary equipment can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a system for constructing a standard point model of an equipment subtype. Background Art

[0002] In the field of modern industry and infrastructure, the operation status monitoring and precise maintenance of equipment are important links to ensure safe production and improve efficiency. As core basic equipment, primary equipment is complex in type and large in number. Traditional manual inspection methods can no longer meet the needs of efficient management. Faced with the challenges of diversified equipment subtypes and complex operating environments, enterprises urgently need to improve inspection efficiency, unify point management, and improve data standardization and utilization through intelligent technology. By developing a standard point model, digital monitoring of equipment operation and intelligent upgrades of operation and maintenance can be achieved, providing technical support for the stable operation and efficient management of the industry.

[0003] The current naming rules and management methods for equipment inspection points lack unified standards, making it difficult to integrate and compare data between different types of equipment. Failure to refine the diversity of equipment and lack of customized inspection point models for different equipment subtypes makes it difficult to meet the needs of complex scenarios. Point information lacks unique identification, and it is difficult to quickly match inspection records and fault data to specific equipment and components, increasing maintenance costs and time. This limits the improvement of management efficiency. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a system for constructing a standard point model of an equipment subtype, which solves the problems of the above-mentioned background technology.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a system for constructing a standard point model of a device subtype, comprising the following modules: a hierarchical division module, a device coding module, a point model construction module, and a point optimization module; the hierarchical division module is used to analyze the functional characteristics and operating environment characteristics of a primary device according to the type, function and operating environment of the primary device, and hierarchically divide the primary device through a multidimensional feature clustering algorithm to establish a multi-level device subtype model; the device coding module is used to map the hierarchical structure characteristics, functional characteristics and operating environment characteristics of the primary device through a dynamic coding rule engine based on the multi-level device subtype model to generate the device point code; the point model construction module is used to construct a primary device point model according to the inspection specification requirements of the primary device, combined with the multi-level device subtype model and the device point code; the point optimization module is used to identify the primary device according to the primary device point model, analyze the data validity of each point of the primary device, obtain the point compliance index, and optimize the primary device point model; the point compliance index is used to evaluate and accept whether each point of the primary device point model meets the standard.

[0006] Furthermore, according to the type, function and operating environment of the primary equipment, the specific process of analyzing the functional characteristics and operating environment characteristics of the primary equipment is as follows: the primary equipment includes energy conversion equipment, switching equipment, and current-carrying conductors; extracting the functional characteristics of the energy conversion equipment includes extracting its energy conversion efficiency, load capacity, and operating frequency, extracting the functional characteristics of the switching equipment includes switching capacity and response time, and extracting the functional characteristics of the current-carrying conductors includes conductive properties, current carrying capacity, and thermal stability; extracting the operating environment characteristics of the primary equipment includes temperature characteristics, humidity conditions, vibration and impact characteristics; integrating the functional characteristics of the primary equipment with the operating environment characteristics to construct a primary equipment feature set.

[0007] Furthermore, the multi-dimensional feature clustering algorithm is used to divide the primary equipment into levels. The specific process of establishing a multi-level equipment subtype model is as follows: functional features and operating environment features are extracted from the primary equipment feature set as the input dimensions of the clustering algorithm, the extracted feature data are standardized, and the feature differences between primary equipment are evaluated through similarity measurement; the primary equipment is gradually aggregated through the hierarchical clustering algorithm, the equipment with higher similarity is classified into one category, the hierarchical structure of the primary equipment is constructed layer by layer, and the primary equipment is divided into multiple subtypes; a multi-level equipment subtype model is established based on the clustering results.

[0008] Furthermore, the specific process of mapping the hierarchical characteristics, functional features and operating environment characteristics of a primary device through a dynamic coding rule engine is as follows: the dynamic coding rule engine is used to identify the various levels of the primary device and extract the hierarchical structure information; according to the functional characteristics and operating environment characteristics of the primary device, the dynamic coding rule engine is used to match the primary device characteristics, and the coding rules are dynamically adjusted in real time according to the changes in the functional characteristics and operating environment characteristics of the primary device to optimize the mapping relationship.

[0009] Furthermore, the specific process of generating equipment point codes is as follows: normalize the characteristics of a primary device through a dynamic rule engine, generate standardized equipment point codes based on the equipment hierarchy, functional characteristics and environmental characteristics, and verify the generated equipment point codes; store the generated equipment point codes in a standard point library.

[0010] Furthermore, combining the multi-level equipment subtype model and equipment location code, the specific process of constructing a primary equipment location model is as follows: extract the hierarchical information of the equipment from the multi-level equipment subtype model, and obtain the feature code of each primary equipment from the equipment location code; integrate the hierarchical structure information, functional characteristics, operating environment characteristics and equipment location code to form a comprehensive equipment feature set; according to the inspection specification requirements of the primary equipment, combine the comprehensive equipment feature set and the location code to establish a primary equipment location model.

[0011] Furthermore, the specific process of identifying a primary device according to a primary device point model and analyzing the data validity of each point of the primary device is as follows: the primary device and its various monitoring points are identified through the hierarchical characteristics and point codes of the primary device point model; each monitoring point code is compared with the preset point code to determine the data validity of each monitoring point.

[0012] Furthermore, the specific process of obtaining the point compliance index and optimizing the primary equipment point model is as follows: conduct a comprehensive evaluation based on the validity, completeness and accuracy of the data at each monitoring point, and calculate the point compliance index of each monitoring point; compare the point compliance index with the preset standard value of the point compliance index, analyze the compliance level of each point of the equipment, and when the point compliance index of the monitoring point is less than the standard value of the point compliance index, optimize it by adjusting the monitoring point configuration.

[0013] The present invention has the following beneficial effects:

[0014] (1) This is a device subtype standard point model construction system. Through the hierarchical division module and the device coding module, the system can accurately analyze the type, function and operating environment characteristics of a device, use the multi-dimensional feature clustering algorithm to hierarchically divide the equipment, and use the dynamic coding rule engine to accurately map the hierarchical structure, functional characteristics and operating environment characteristics of the equipment, thereby generating standardized equipment point codes, providing strong data support for subsequent equipment management and monitoring.

[0015] (2) This is a device subtype standard point model construction system. Through the point model construction module and the point optimization module, the system can build a complete primary device point model based on the equipment inspection specification requirements, combined with the equipment subtype model and the equipment point code. At the same time, the point optimization module can analyze the data validity of each point of the equipment, obtain the point compliance index, and continuously improve the accuracy and compliance of the point model through optimization strategies to ensure that the monitoring data of the equipment is efficient and reliable.

[0016] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A system flow chart for constructing a standard point location model for a device subtype of the present invention. DETAILED DESCRIPTION

[0018] The embodiment of the present application solves the problems of insufficient standardization of equipment points, difficulty in evaluating the validity of point data, and low equipment management efficiency through a system for building a standard point model of equipment subtypes. The present invention provides a system for building a standard point model of equipment subtypes, the purpose of which is to improve the accuracy, validity and compliance of the equipment point model by analyzing and optimizing the characteristics, operating environment and patrol requirements of the equipment, thereby improving the efficiency of equipment management and patrol.

[0019] The overall idea of ​​the solution in the embodiments of this application is as follows:

[0020] According to the type, function and operating environment of primary equipment, the functional characteristics and operating environment characteristics of primary equipment are analyzed, and the primary equipment is hierarchically divided through a multidimensional feature clustering algorithm to establish a multi-level equipment subtype model.

[0021] Based on the multi-level equipment subtype model, the hierarchical characteristics, functional features and operating environment characteristics of primary equipment are mapped through the dynamic coding rule engine to generate equipment point codes.

[0022] According to the inspection specification requirements of primary equipment, a primary equipment location model is constructed by combining the multi-level equipment subtype model and equipment location coding.

[0023] Identify the primary equipment according to the primary equipment point model, analyze the data validity of each point of the primary equipment, obtain the point compliance index, and optimize the primary equipment point model.

[0024] See also Figure 1 The embodiment of the present invention provides a technical solution: a system for constructing a standard point model of a device subtype, comprising the following modules: a hierarchical division module, a device coding module, a point model construction module, and a point optimization module; the hierarchical division module is used to analyze the functional characteristics and operating environment characteristics of a primary device according to the type, function and operating environment of the primary device, and hierarchically divide the primary device through a multi-dimensional feature clustering algorithm to establish a multi-level device subtype model; the device coding module is used to map the hierarchical structure characteristics, functional characteristics and operating environment characteristics of the primary device through a dynamic coding rule engine based on the multi-level device subtype model to generate the device point code; the point model construction module is used to construct a primary device point model according to the inspection specification requirements of the primary device, combined with the multi-level device subtype model and the device point code; the point optimization module is used to identify the primary device according to the primary device point model, analyze the data validity of each point of the primary device, obtain the point compliance index, and optimize the primary device point model; the point compliance index is used to evaluate and accept whether each point of the primary device point model meets the standard.

[0025] In this implementation scheme, the hierarchical division module: This module analyzes the type, function and operating environment characteristics of a primary device. Through the multi-dimensional feature clustering algorithm, the device is hierarchically divided according to its function, operating environment and other characteristics to generate multiple device sub-type models. Each sub-type of equipment has a specific function and operating environment. Function: Dividing the equipment into different sub-types helps to customize the inspection and maintenance strategies according to the specific type. Equipment coding module: Based on the aforementioned multi-level equipment sub-type model, the hierarchical structure characteristics, functional characteristics and operating environment characteristics of the equipment are mapped using a dynamic coding rule engine to generate the corresponding equipment point code. Function: Assign a unique code to each device and its point to achieve standardization of equipment management and data tracking. Point model construction module: According to the inspection specification requirements of the equipment, combined with the multi-level equipment sub-type model and equipment point coding, the point model of the equipment is constructed. This module defines the location, type, function and other information of each point of the equipment to meet specific inspection requirements. Function: Clarify the monitoring points and inspection requirements of each device to ensure that equipment maintenance and monitoring have a basis. Point optimization module: This module identifies the equipment and its various monitoring points based on the constructed equipment point model, analyzes the data validity of each monitoring point, and obtains the point compliance index. This index is used to evaluate whether the data of each point meets the predetermined standards. Function: By obtaining and analyzing the point compliance index, the equipment point model is judged and optimized to ensure the accuracy and validity of the point data, and further improve the quality of equipment management and monitoring. Point compliance index: This index is used to evaluate whether each point of a single equipment point model meets the predetermined standards, taking into account the validity, accuracy and completeness of the point data. By comparing the compliance standard values, the system can determine which points do not meet the standards and make corresponding optimizations and adjustments. Through the collaborative work of these modules, the system can effectively realize the construction, optimization and management of the equipment point model, ensure the efficiency and reliability of the equipment point data, and improve the accuracy and intelligence of equipment management.

[0026] Specifically, according to the type, function and operating environment of the primary equipment, the specific process of analyzing the functional characteristics and operating environment characteristics of the primary equipment is as follows: the primary equipment includes energy conversion equipment, switching equipment, and current-carrying conductors; extracting the functional characteristics of the energy conversion equipment includes extracting its energy conversion efficiency, load capacity, and operating frequency, extracting the functional characteristics of the switching equipment includes switching capacity and response time, and extracting the functional characteristics of the current-carrying conductors includes conductivity, current carrying capacity, and thermal stability; extracting the operating environment characteristics of the primary equipment includes temperature characteristics, humidity conditions, vibration and impact characteristics; the functional characteristics of the primary equipment are integrated with the operating environment characteristics to construct a primary equipment feature set.

[0027] In this implementation scheme, the classification of primary equipment: primary equipment refers to equipment used for the production, transmission or conversion of energy in the power system. Equipment includes: Energy conversion equipment: used for the energy conversion process, such as generators and transformers. Switchgear: equipment used to control the on and off of current, such as circuit breakers and switches. Current-carrying conductor: wires and conductor bars used to transmit current. Extraction of functional characteristics: For different types of primary equipment, the extraction of their functional characteristics is different, and the specific process is as follows: Energy conversion equipment: Energy conversion efficiency: refers to the efficiency of the equipment when converting energy, usually expressed as the ratio of input energy to output energy, the higher the better. Load capacity: refers to the maximum load that the equipment can withstand, generally used to describe the stability and durability of the equipment under high load conditions. Operating frequency: refers to the frequency range of the equipment under normal working conditions, especially for AC equipment, this feature is very critical. Switchgear: Switching capacity: refers to the maximum current capacity that the switching equipment can withstand, usually related to the switching frequency and voltage level of the equipment. Response time: refers to the response speed of the equipment after receiving an operation command, especially in a fast protection control system. Current-carrying conductor: Conductive performance: refers to the conductivity of the conductor when current passes through it, which is usually related to the conductor's material (such as copper, aluminum) and cross-sectional size. Current carrying capacity: the maximum current value that the conductor can carry without overheating or damage. Thermal stability: the temperature change range that the conductor can withstand when working for a long time to prevent overheating from causing electrical failures. Extracting operating environment characteristics: The operating environment of the equipment directly affects its working performance and life. The process of extracting operating environment characteristics includes: Temperature characteristics: the temperature range that the equipment can withstand, including performance under extremely low and high temperature conditions. Humidity conditions: the ability of the equipment to work under different humidity environments, including corrosion and changes in conductive properties that may occur in high or low humidity environments. Vibration and shock characteristics: the ability of the equipment to withstand mechanical vibration or shock, especially for large equipment such as transformers, generators, etc. The structural stability has an important impact. Feature fusion and feature set construction: The purpose of fusing the functional characteristics of primary equipment with the operating environment characteristics is to form a complete set of features that can describe the performance of the equipment and the operating environment. Specific fusion methods include: Weighted combination: assign weights to each feature and conduct a comprehensive evaluation to fully reflect the comprehensive performance of the equipment. Multi-dimensional analysis: Analyze each feature in multiple dimensions to further optimize the operation and maintenance strategy of the equipment.

[0028] Specifically, the hierarchical division of primary devices is carried out through a multidimensional feature clustering algorithm, and the specific process of establishing a multi-level device subtype model is as follows: functional features and operating environment features are extracted from the feature set of primary devices as the input dimensions of the clustering algorithm, the extracted feature data are standardized, and the feature differences between primary devices are evaluated through similarity measurement; primary devices are gradually aggregated through a hierarchical clustering algorithm, devices with higher similarity are classified into one category, the hierarchical structure of primary devices is constructed layer by layer, and primary devices are divided into multiple subtypes; a multi-level device subtype model is established based on the clustering results.

[0029] In this implementation scheme, the primary device feature set includes: functional characteristics: such as energy conversion efficiency, switching capacity, current carrying capacity, etc., which describe the performance indicators of the device when working. Operating environment characteristics: such as temperature characteristics, humidity conditions, vibration and shock characteristics, etc., which describe the external environmental conditions of the device. These characteristics provide necessary data support for subsequent clustering analysis. Since the functional characteristics and operating environment characteristics of primary equipment may be different in dimension, unit and value range, it is necessary to standardize the feature data. The purpose of standardization is to adjust the feature data of different dimensions to the same dimension so that the differences between different features can be compared fairly. Through the standardized feature data, we use the similarity measurement method to evaluate the feature differences between different primary devices. Through the similarity measurement, the system can identify which primary devices have similar functional characteristics and operating environment characteristics. Hierarchical Clustering is a commonly used unsupervised learning algorithm used to classify devices by similarity measurement. The basic idea of ​​the algorithm is to build a hierarchical structure of devices layer by layer by gradually merging (or splitting) similar devices. Agglomerative Clustering: Starting from each device, the most similar devices are gradually merged into one class until all devices are merged into one large class. Divisive Clustering: Starting from all devices forming a large class, they are gradually split into multiple classes until each class contains only one device. In this process, the algorithm will classify devices with higher similarity into one class based on the similarity between the devices. In this way, the devices are gradually divided into multiple subclasses, each of which represents a subtype of a device. Based on the results of hierarchical clustering, a multi-level device subtype model is finally formed. This model includes multiple levels, and the devices in each level have similar functions and operating environment characteristics. The model can clearly show: different subtypes of devices (for example, energy conversion device subtypes, switch device subtypes, etc.). The feature aggregation information of the devices under each subtype helps to further understand the differences and commonalities between devices.

[0030] Specifically, the specific process of mapping the hierarchical characteristics, functional features and operating environment characteristics of a primary device through a dynamic coding rule engine is as follows: the dynamic coding rule engine is used to identify the various levels of the primary device and extract the hierarchical structure information; according to the functional characteristics and operating environment characteristics of the primary device, the dynamic coding rule engine is used to match the primary device characteristics, and the coding rules are dynamically adjusted in real time according to the changes in the functional characteristics and operating environment characteristics of the primary device to optimize the mapping relationship.

[0031] In this implementation scheme, the various levels of the primary equipment are identified and the hierarchical structure information is extracted. In the process of generating the equipment point code, the hierarchical structure of the primary equipment needs to be identified first. This process includes the following: Hierarchical structure definition: The primary equipment is usually composed of multiple levels, and each level represents a different level of equipment function. For example, the first-level equipment may be the main equipment, the second-level equipment is the auxiliary equipment, and the third-level equipment may be a component or part. Equipment at different levels has different requirements and attributes in terms of function, characteristics and location. Extracting hierarchical information: By identifying the various levels of the equipment and their functions, detailed information of each level can be extracted, such as equipment type, functional module, control relationship, etc. The dynamic coding rule engine helps the system better understand the structure of the equipment and the relationship between the parts by analyzing the type, function and hierarchical information of the equipment. Mapping according to the functional characteristics and operating environment characteristics of the equipment: Once the hierarchical structure of the equipment is identified, the next step is to map the code according to the functional characteristics and operating environment characteristics of the equipment. This process includes: Functional characteristics: For example, for an electric power equipment, the functional characteristics may include power generation capacity, load capacity, switch capacity, etc. Environmental characteristics: For example, the environment in which the equipment is located may include conditions such as temperature, humidity, vibration, and electromagnetic interference, which directly affect the normal operation of the equipment. Based on the information of these characteristics, the dynamic coding rule engine maps them with the equipment level information and generates a preliminary coding scheme. Specifically: Mapping of functional characteristics and levels: According to the functional characteristics of the equipment, a specific code is assigned to each level of the equipment. For example, the main control part of the power generation equipment may have a specific code, while the auxiliary components have different codes. Mapping of environmental characteristics and levels: The environmental conditions in which the equipment is located also affect the generation of codes. For example, the code of equipment working in extreme environments (such as high temperature, humidity, etc.) may add specific environmental tags to distinguish it from conventional equipment. Dynamic adjustment of coding rules is one of the key features of the system. The specific process is as follows: Real-time change recognition: The functional characteristics and environmental characteristics of the equipment may change over time. For example, the load of a certain equipment may change due to different working conditions, and the environmental conditions may fluctuate due to seasons or external factors. The dynamic coding rule engine can recognize these changes in real time to ensure real-time adaptation of the coding rules. Dynamic adjustment rules: Once changes in device functional characteristics or operating environment characteristics are identified, the system will automatically adjust the coding rules according to the preset adjustment logic. For example, if the functional module of the device changes, the system can automatically reallocate new codes to maintain the accuracy of the device's hierarchy, function, and environmental information. Optimize mapping relationships: Through dynamic adjustment, coding rules can continuously optimize mapping relationships in a changing environment. For example, when a device needs to be upgraded or a component needs to be replaced, the system will automatically adjust the coding so that the new device still conforms to the original standard structure and ensures system consistency.The dynamic coding rule engine can not only identify and adjust the coding rules, but also optimize during the operation of the equipment: Performance optimization: For example, based on the operation data of the equipment, the system can identify which functional characteristics or environmental characteristics have changed and affected the performance of the equipment, thereby optimizing the coding mapping of these characteristics so that the coding can more accurately reflect the actual status of the equipment. Adaptability optimization: With the continuous development of equipment technology, the characteristics, functions, environmental requirements, etc. of the equipment may change. The dynamic rule engine continuously optimizes the mapping relationship so that the point coding of the equipment can always adapt to new needs and standards, thereby improving the flexibility and long-term stability of the system.

[0032] Specifically, the specific process of generating equipment point codes is as follows: normalize the characteristics of a device through a dynamic rule engine, generate standardized equipment point codes based on the equipment hierarchy, functional characteristics and environmental characteristics, and verify the generated equipment point codes; store the generated equipment point codes in a standard point library.

[0033] In this implementation scheme, normalization processing refers to converting the characteristic data of a primary device (such as functional characteristics, environmental characteristics, etc.) into a unified dimension to eliminate the differences between different characteristic units and ranges. Ensure that the data of all device characteristics are within the same standard range to avoid the uneven impact of different characteristic scales on the final coding results. Combined with the device hierarchy, functional characteristics and environmental characteristics, this step combines the normalized device characteristics (hierarchy, functional characteristics, environmental characteristics) for multi-dimensional mapping. Specifically: Device hierarchy: represents different functional modules of the device (such as main control module, auxiliary module, sensor, etc.), each module has different status and role in the device. Functional characteristics: specific functions of the device, such as power generation capacity, load capacity, and switch capacity. Environmental characteristics: conditions of the environment in which the device is located, such as temperature, humidity, and vibration. By taking these characteristics into consideration, a standardized point code with a comprehensive description of the characteristics of the device is generated. Generate standardized device point code: map the normalized device characteristics to the device's coding structure through a dynamic rule engine. Generate a unique and standardized point code based on the device's hierarchy, functional characteristics and environmental characteristics. This code can accurately represent the characteristics of the device at each level, ensuring the uniqueness and identifiability of the device. Dynamic rule engine: responsible for automatically adjusting the code generation rules according to the changes in the device. Every time the device characteristics change, the rule engine will recalculate and generate the corresponding device point code to ensure the timeliness and accuracy of the code. Through the standardized coding system, the device can be accurately identified and consistently managed and monitored in different systems or platforms. Verify the generated device point code: After the device point code is generated, it needs to be verified to ensure that the generated code meets the preset standards and rules. The verification content includes: Format verification: Ensure that the generated code meets the specified format requirements. Consistency verification: Ensure that the generated code is consistent with the existing device information to avoid duplication or incorrect coding. Functional verification: Check whether the code accurately reflects the functional characteristics, hierarchical structure and environmental characteristics of the device. Ensure the validity, correctness and consistency of the device point code to avoid errors in device management or data analysis due to incorrect coding. Store the generated device point code in the standard point library: Store the verified device point code in the standard point library. The point library is a database that stores all equipment point codes and related information for easy subsequent call and management. It ensures that the point codes of all equipment are managed uniformly, facilitating subsequent query, management, analysis and use, while avoiding coding conflicts and information loss.

[0034] Specifically, the specific process of constructing a primary equipment location model by combining the multi-level equipment subtype model and equipment location coding is as follows: extract the hierarchical information of the equipment from the multi-level equipment subtype model, and obtain the feature code of each primary equipment from the equipment location coding; integrate the hierarchical structure information, functional characteristics, operating environment characteristics and equipment location coding to form a comprehensive equipment feature set; according to the inspection specification requirements of the primary equipment, combine the comprehensive equipment feature set and the location coding to establish a primary equipment location model.

[0035] In this implementation scheme, the hierarchical information of the device is extracted from the multi-level device subtype model: the multi-level device subtype model describes the hierarchical structure of the device. A primary device may contain multiple submodules or components (such as control modules, sensors, execution modules, etc.), which are organized according to functions and hierarchical relationships. In this step, these hierarchical information are extracted from the multi-level model so that the functional modules of the device are clearly divided. The hierarchical structure information of the device is provided for the construction of the device point model to ensure that each device module can be accurately represented in the point model. The feature code of each primary device is obtained from the device point code: the device point code is a standardized code that uniquely identifies each device point, including the functional characteristics, operating environment characteristics and hierarchical characteristics of the device. In this step, the feature code of each primary device is extracted from the generated device point code as the basis for building the device point model. The coding information of the device is extracted to ensure that the point model can accurately describe the characteristics of the device and its position in the device. The hierarchical structure information, functional characteristics, operating environment characteristics and device point code are integrated: this step combines the hierarchical structure information, functional characteristics and operating environment characteristics of the device with the device point code to form a comprehensive feature set. After fusion, the equipment point model can not only reflect the structure and function of the equipment, but also take into account the environmental conditions of the equipment, such as temperature, humidity, etc. By integrating multi-dimensional equipment information, a comprehensive equipment feature set is created to ensure that the point model can accurately express all important characteristics of the equipment.

[0036] Specifically, the specific process of identifying a primary device according to a primary device point model and analyzing the data validity of each point of the primary device is as follows: identify the primary device and its various monitoring points through the hierarchical characteristics and point codes of the primary device point model; compare each monitoring point code with the preset point code to determine the data validity of each monitoring point.

[0037] In this implementation scheme, the equipment point model contains the hierarchical characteristics of the equipment and the code of each monitoring point. By analyzing the hierarchical characteristics of the equipment (such as the structural level of the equipment, functional modules, etc.) and the point code (such as sensor location, equipment function point, etc.), the specific equipment type and the monitoring point associated with it can be identified. By matching the hierarchical characteristics of the equipment and the point code, the equipment and its corresponding monitoring point can be accurately identified, providing a basis for subsequent data validity analysis. According to each monitoring point code, it is compared with the preset point code to determine the data validity of each monitoring point: In this step, the system compares the code of each monitoring point with the preset standard point code. The standard point code defines the characteristics or requirements required for valid data, such as the exact location of the point, the frequency of data collection, etc. By comparing the code, it is determined whether the data of each monitoring point meets the preset standard, and then the validity of the data is confirmed. By comparing the point code with the standard value, it is ensured that the monitoring data meets the prescribed validity standards (such as data accuracy, completeness, etc.), providing a reliable basis for data analysis or subsequent operations.

[0038] Specifically, the specific process of obtaining the point compliance index and optimizing the primary equipment point model is as follows: conduct a comprehensive evaluation based on the validity, completeness and accuracy of the data at each monitoring point, and calculate the point compliance index of each monitoring point; compare the point compliance index with the preset standard value of the point compliance index, analyze the compliance level of each point of the equipment, and when the point compliance index of the monitoring point is less than the standard value of the point compliance index, optimize it by adjusting the monitoring point configuration.

[0039] In this implementation plan, the point compliance index calculation formula is: ; Parameter explanation: No. The number of valid data points at each monitoring point, that is, the total number of data points without missing or error. Calculation method: Determined by counting the validity of the data points. For example, if the total number of data points is 1000 and 950 are found to be valid data, then . No. The total number of data points at each monitoring point, including valid and invalid data points. Calculation method: directly count the total number of all collected raw data points. For example, if the total number of data points is 1000, then . No. The number of complete data points at each monitoring point, that is, the total number of data points with all necessary fields filled in, is calculated by counting the number of complete data points. For example, if 900 of 1,000 data meet the integrity requirements, then ; This is the The measurement value of each monitoring point at a set time point. This is the The true value of each monitoring point, that is, the standard or reference value, The sum of the absolute errors between the measured value and the true value. Calculation method: Calculate the absolute difference between the measured value and the true value one by one and add them up. For example, if the three measured values ​​are 98, 102, and 100, and the true value is 100, then the sum of the errors is |98-100|+|102-100|+|100-100|=2+2+0=4. The sum of the true values ​​of all data points. Calculation method: Add the true values. For example, if the true values ​​are 100, 100, and 100, then 100+100+100=300. The weighting coefficients of validity, completeness and accuracy are used to adjust the contribution of each factor to the compliance index. Constraints: .

[0040] In summary, this application has at least the following effects:

[0041] A system for constructing a standard point model for equipment subtypes can ensure more accurate calculation of the point compliance index by comprehensively evaluating the validity, completeness and accuracy of the data of the monitoring points, thereby improving the accuracy of the equipment monitoring data. By analyzing the point compliance index, it is possible to identify monitoring points that do not meet the standards, and by optimizing and adjusting the monitoring point configuration, the overall performance and reliability of the equipment point model can be improved. By comparing the point compliance index with the preset standard value, the compliance level of the equipment can be effectively evaluated, and the equipment point model can be ensured to comply with relevant standards, thereby improving the standardization and consistency of equipment management. By dynamically adjusting the monitoring point configuration, real-time optimization can be performed according to actual needs and changes, thereby ensuring the adaptability and flexibility of the system and meeting the requirements of different scenarios. By monitoring and optimizing the point compliance index, problems can be discovered and adjusted in a timely manner, improving the maintainability of the system and reducing the risks caused by equipment failures or point problems.

[0042] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0043] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0044] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0045] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0046] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0047] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A system for constructing a standard point model of equipment subtypes, characterized in that: It includes the following modules: hierarchical division module, equipment coding module, point model building module, and point optimization module; The hierarchical division module is used to analyze the functional characteristics and operating environment characteristics of the primary equipment according to the type, function and operating environment of the primary equipment, and hierarchically divide the primary equipment through a multi-dimensional feature clustering algorithm to establish a multi-level equipment sub-type model; The device coding module is used to map the hierarchical structure characteristics, functional characteristics and operating environment characteristics of a primary device through a dynamic coding rule engine based on a multi-level device sub-type model to generate a device point code; The point model building module is used to build a primary equipment point model according to the inspection specification requirements of the primary equipment, combined with the multi-level equipment sub-type model and the equipment point code; The point optimization module is used to identify the primary equipment according to the primary equipment point model, analyze the data validity of each point of the primary equipment, obtain the point compliance index, and optimize the primary equipment point model; The point compliance index is used to evaluate and accept whether each point of a primary equipment point model complies with the standard.

2. A system for constructing a standard point model of a device subtype according to claim 1, characterized in that: According to the type, function and operating environment of the primary equipment, the specific process of analyzing the functional characteristics and operating environment characteristics of the primary equipment is as follows: The primary equipment includes energy conversion equipment, switch equipment, and current-carrying conductors; Extracting the functional characteristics of energy conversion equipment includes extracting its energy conversion efficiency, load capacity, and operating frequency; extracting the functional characteristics of switch equipment includes switching capacity and response time; extracting the functional characteristics of current-carrying conductors includes conductive properties, current carrying capacity, and thermal stability; Extract the operating environment characteristics of primary equipment including temperature characteristics, humidity conditions, vibration and shock characteristics; The functional characteristics of a primary device are integrated with the characteristics of the operating environment to construct a primary device feature set.

3. A system for constructing a standard point model of a device subtype according to claim 2, characterized in that: The specific process of hierarchical division of primary equipment through multi-dimensional feature clustering algorithm and establishment of multi-level equipment sub-type model is as follows: Extract functional features and operating environment features from the primary device feature set as the input dimension of the clustering algorithm, standardize the extracted feature data, and evaluate the feature differences between primary devices through similarity measurement; The primary devices are gradually aggregated through the hierarchical clustering algorithm, and the devices with high similarity are classified into one category. The hierarchical structure of the primary devices is constructed layer by layer, and the primary devices are divided into multiple subtypes. A multi-level equipment subtype model is established based on the clustering results.

4. A system for constructing a standard point model of a device subtype according to claim 3, characterized in that: The specific process of mapping the hierarchical characteristics, functional characteristics and operating environment characteristics of a primary device through the dynamic coding rule engine is as follows: Identify each level of a device and extract the level structure information through a dynamic coding rule engine; According to the functional characteristics of the primary device and the operating environment characteristics, the primary device characteristics are matched through the dynamic coding rule engine, and the coding rules are dynamically adjusted to optimize the mapping relationship in real time according to the changes in the functional characteristics of the primary device and the operating environment characteristics.

5. The device subtype standard point model construction system according to claim 4, characterized in that: The specific process of generating equipment point code is as follows: The dynamic rule engine is used to normalize the characteristics of primary equipment, generate standardized equipment point codes based on the equipment hierarchy, functional characteristics, and environmental characteristics, and verify the generated equipment point codes; Store the generated equipment point codes in the standard point library.

6. A system for constructing a standard point model of a device subtype according to claim 5, characterized in that: Combining the multi-level equipment subtype model and equipment location coding, the specific process of constructing an equipment location model is as follows: Extract the hierarchical information of the equipment from the multi-level equipment subtype model, and obtain the characteristic code of each primary equipment from the equipment point code; Integrate hierarchical information, functional characteristics, operating environment characteristics and equipment point codes to form a comprehensive equipment feature set; According to the inspection specification requirements of primary equipment, a primary equipment point model is established by combining the equipment comprehensive feature set and point coding.

7. A system for constructing a standard point model of a device subtype according to claim 6, characterized in that: The specific process of identifying the primary equipment according to the primary equipment point model and analyzing the data validity of each point of the primary equipment is as follows: Identify the primary equipment and its monitoring points through the hierarchical features and point coding of the primary equipment point model; The code of each monitoring point is compared with the preset point code to determine the validity of the data at each monitoring point.

8. The device subtype standard point model construction system according to claim 7, characterized in that: The specific process of obtaining the point compliance index and optimizing the primary equipment point model is as follows: Conduct a comprehensive assessment based on the validity, completeness and accuracy of the data at each monitoring point, and calculate the compliance index of each monitoring point; Compare the point compliance index with the preset standard value of the point compliance index, analyze the compliance level of each point of the equipment, and when the point compliance index of the monitoring point is less than the standard value of the point compliance index, optimize it by adjusting the monitoring point configuration.

Images