Intelligent management method and system for operation and maintenance of smart station

Abstract

The invention relates to the technical field of intelligent stations, and discloses an intelligent management method and system for operation and maintenance of an intelligent station, and the method comprises the steps: collecting equipment operation management data of equipment to be operated, maintained and managed based on a preset collection time point, and determining a plurality of equipment operation management data sets; determining a lower limit equipment operation management data factor and an upper limit equipment operation management data factor corresponding to each equipment operation management data group; determining a plurality of comprehensive equipment operation management data factor combinations; analyzing all the comprehensive equipment operation management data factor combinations, and calculating an operation maintenance management risk coefficient; and judging whether the to-be-operated maintenance management equipment has an operation risk based on the operation maintenance management risk coefficient, if so, giving an alarm, and performing operation maintenance, thereby realizing intelligent operation maintenance management of the smart station, improving the operation maintenance management efficiency and accuracy, improving the operation efficiency, reliability and safety of the smart station, and improving the safety of the smart station. The operation and maintenance cost is reduced.

Description

Technical Field

[0001] The present invention relates to the field of smart station technology, and in particular to an intelligent management method and system for operation and maintenance of a smart station. Background Art

[0002] Smart stations are comprehensive platforms that use modern information technology, the Internet of Things (IoT), big data analysis and other technologies to achieve real-time monitoring, control and intelligent management of station equipment and environment. The core components include: sensor equipment modules, data acquisition and processing systems, intelligent control systems, etc. Smart stations integrate a variety of advanced technologies to achieve intelligent management of station equipment, with functions such as remote monitoring and control, fault diagnosis and early warning, and are widely used in multiple industries to improve operational efficiency, reduce costs, and enhance safety and reliability.

[0003] Traditional intelligent management methods for operation and maintenance often use manual regular inspections, regular maintenance, and post-repairs. However, with the continuous expansion of the scale of smart stations and the increasing complexity of equipment, this traditional model has gradually exposed many problems. For example, manual inspections are difficult to fully cover all equipment and systems, and are prone to missed inspections; regular maintenance may lead to over-maintenance or under-maintenance, affecting the normal operation and service life of the equipment; post-repairs are often carried out after the equipment fails, which will lead to extended equipment downtime and economic losses. In addition, traditional intelligent management methods for operation and maintenance mainly rely on experience and simple statistical analysis for equipment maintenance management, and lack advanced data analysis algorithms to identify equipment safety and health risks. Summary of the invention

[0004] The embodiments of the present invention provide an intelligent management method and system for the operation and maintenance of a smart station. The present invention can realize intelligent operation and maintenance management of smart stations, improve the efficiency and accuracy of operation and maintenance management, enhance the operation efficiency, reliability and safety of smart stations, and reduce operation and maintenance costs.

[0005] In order to achieve the above object, the present invention provides an intelligent management method for operation and maintenance of a smart station, comprising: Determine the equipment to be operated, maintained and managed in the smart station, collect the equipment operation management data of the equipment to be operated, maintained and managed based on a preset collection time point, and determine multiple equipment operation management data groups; Analyze the equipment operation management data group to determine a lower limit equipment operation management data factor and an upper limit equipment operation management data factor corresponding to each equipment operation management data group; Determine a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; Analyze all the comprehensive equipment operation management data factor combinations, and calculate the operation and maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results; Based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and the preset operation, maintenance and management risk coefficient, it is judged whether the equipment to be operated, maintained and managed has an operation risk. If so, an alarm is issued and operation maintenance is performed on the equipment to be operated, maintained and managed.

[0006] Further, when analyzing the equipment operation management data group to determine the lower limit equipment operation management data factor and the upper limit equipment operation management data factor corresponding to each equipment operation management data group, it includes: Determine the maximum equipment operation management data and the minimum equipment operation management data corresponding to the equipment operation management data group; Determine the lower limit equipment operation management data factor corresponding to the equipment operation management data group according to the following formula: ; Among them, k1 is the lower limit equipment operation management data factor corresponding to the equipment operation management data group, j is the number of equipment operation management data in the equipment operation management data group, and g h is the jth device operation management data in the device operation management data group, g max is the maximum equipment operation management data, g min Run management data for the smallest device; Determine the upper limit equipment operation management data factor corresponding to the equipment operation management data group according to the following formula: ; Among them, k2 is the upper limit equipment operation management data factor corresponding to the equipment operation management data group.

[0007] Further, when determining a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor, it includes: Calculate the equipment operation management data factors and values ​​of the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; Extracting the equipment operation management data factors and values ​​corresponding to each equipment operation management data group respectively; Randomly selecting a first equipment operation management data factor and value and a second equipment operation management data factor and value, and using the first equipment operation management data factor and value and the second equipment operation management data factor and value as a first comprehensive equipment operation management data factor combination; Randomly select a third equipment operation management data factor and value, calculate a first sum value corresponding to the first comprehensive equipment operation management data factor combination, calculate a first difference between the first sum value and the third equipment operation management data factor and value, determine whether the first difference is greater than or equal to a preset difference, and if so, update the third equipment operation management data factor and value to the first comprehensive equipment operation management data factor combination; If not, the first comprehensive equipment operation management data factor combination is used as a comprehensive equipment operation management data factor combination, a fourth equipment operation management data factor and value are randomly extracted, and the fourth equipment operation management data factor and value and the third equipment operation management data factor and value are used as a second comprehensive equipment operation management data factor combination; Randomly select a fifth equipment operation management data factor and value, calculate a second sum value corresponding to the second comprehensive equipment operation management data factor combination, and calculate a second difference between the second sum value and the fifth equipment operation management data factor and value, determine whether the second difference value is greater than or equal to the preset difference value, and if so, update the fifth equipment operation management data factor and value to the second comprehensive equipment operation management data factor combination; If not, taking the second comprehensive equipment operation management data factor combination as a comprehensive equipment operation management data factor combination; In this way, updates and iterations are carried out to obtain multiple comprehensive equipment operation management data factor combinations based on all equipment operation management data factors and values.

[0008] Furthermore, when analyzing all the comprehensive equipment operation management data factor combinations and calculating the operation maintenance management risk coefficient of the equipment to be operated, maintained and managed based on the analysis results, it includes: Perform curve fitting for each comprehensive equipment operation management data factor combination, determine the curve slope corresponding to each comprehensive equipment operation management data factor combination, and use it as the horizontal comprehensive equipment operation management data coefficient, wherein if the number of comprehensive equipment operation management data factor combinations is 1, the curve slope is recorded as 1; Calculate the sum value corresponding to each combination of comprehensive equipment operation management data factors and use it as the vertical comprehensive equipment operation management data coefficient; The operation and maintenance management risk coefficient of the equipment to be operated and maintained is calculated based on the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient.

[0009] Further, when calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Randomly extracting a horizontal comprehensive equipment operation management data coefficient and a vertical comprehensive equipment operation management data coefficient corresponding to a comprehensive equipment operation management data factor combination, and using them as the first horizontal comprehensive equipment operation management data coefficient and the first vertical comprehensive equipment operation management data coefficient; Randomly extracting a horizontal comprehensive equipment operation management data coefficient and a vertical comprehensive equipment operation management data coefficient corresponding to another comprehensive equipment operation management data factor combination, and using them as a second horizontal comprehensive equipment operation management data coefficient and a second vertical comprehensive equipment operation management data coefficient; Calculating the absolute value of the difference between the first horizontal comprehensive equipment operation management data coefficient and the second horizontal comprehensive equipment operation management data coefficient; Extracting the maximum horizontal comprehensive equipment operation management data coefficient and the minimum horizontal comprehensive equipment operation management data coefficient from all horizontal comprehensive equipment operation management data coefficients, and calculating the horizontal comprehensive equipment operation management data coefficient range value of the maximum horizontal comprehensive equipment operation management data coefficient and the minimum horizontal comprehensive equipment operation management data coefficient; Calculate the ratio of the absolute value of the horizontally integrated equipment operation management data coefficient difference and the extreme value of the horizontally integrated equipment operation management data coefficient.

[0010] Further, when calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Calculating the absolute value of the difference between the first longitudinal integrated equipment operation management data coefficient and the second longitudinal integrated equipment operation management data coefficient; Extracting the maximum longitudinal integrated equipment operation management data coefficient and the minimum longitudinal integrated equipment operation management data coefficient from all longitudinal integrated equipment operation management data coefficients, and calculating the longitudinal integrated equipment operation management data coefficient range value of the maximum longitudinal integrated equipment operation management data coefficient and the minimum longitudinal integrated equipment operation management data coefficient; Calculate the ratio of the absolute value of the longitudinal comprehensive equipment operation management data coefficient difference and the longitudinal comprehensive equipment operation management data coefficient extreme difference.

[0011] Further, when calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Calculate the sum of the horizontal comprehensive equipment operation management data coefficient ratio and the vertical comprehensive equipment operation management data coefficient ratio as the comprehensive equipment operation management data coefficient to be calculated; Extract all the comprehensive equipment operation management data coefficients to be calculated, and randomly combine them in pairs to obtain multiple comprehensive equipment operation management data coefficient groups to be calculated; The operation and maintenance management risk coefficient of the equipment to be operated and maintained is calculated based on all the comprehensive equipment operation and management data coefficient groups to be calculated.

[0012] Further, when judging whether the equipment to be operated, maintained and managed has an operation risk based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and the preset operation, maintenance and management risk coefficient, the method includes: When the operation maintenance management risk coefficient is less than the preset operation maintenance management risk coefficient, it is determined that the equipment to be operated maintenance management has no operation risk; When the operation maintenance management risk coefficient is greater than or equal to the preset operation maintenance management risk coefficient, it is determined that the equipment to be operated maintenance management has an operation risk.

[0013] In order to achieve the above objectives, the present invention also provides an intelligent management system for operation and maintenance of a smart station, comprising: A data collection module is used to determine the equipment to be operated, maintained and managed in the smart station, collect the equipment operation management data of the equipment to be operated, maintained and managed based on a preset collection time point, and determine multiple equipment operation management data groups; A data analysis module, used to analyze the equipment operation management data group to determine a lower limit equipment operation management data factor and an upper limit equipment operation management data factor corresponding to each equipment operation management data group; A data determination module, used to determine a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; A data calculation module, used to analyze all the comprehensive equipment operation management data factor combinations, and calculate the operation and maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results; The maintenance management module is used to determine whether the equipment to be operated, maintained and managed has an operation risk based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and a preset operation, maintenance and management risk coefficient. If so, an alarm is issued to perform operation maintenance on the equipment to be operated, maintained and managed.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses an intelligent management method and system for operation and maintenance of a smart station. The method collects equipment operation and management data of equipment to be operated, maintained and managed based on a preset collection time point, and determines multiple equipment operation and management data groups; determines the lower limit equipment operation and management data factor and the upper limit equipment operation and management data factor corresponding to each equipment operation and management data group; determines multiple comprehensive equipment operation and management data factor combinations; analyzes all comprehensive equipment operation and management data factor combinations, and calculates the operation and maintenance management risk coefficient; based on the operation and maintenance management risk coefficient, determines whether the equipment to be operated, maintained and managed has an operation risk, and if so, issues an alarm and performs operation and maintenance, thereby realizing intelligent operation and maintenance management of the smart station, improving the efficiency and accuracy of operation and maintenance management, improving the operation efficiency, reliability and safety of the smart station, and reducing the operation and maintenance cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings: Figure 1 A schematic diagram of a process of an intelligent management method for operation and maintenance of a smart station in an embodiment of the present invention is shown; Figure 2 A structural diagram of an intelligent management system for operation and maintenance of a smart station in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0016] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0017] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0018] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0019] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0021] like Figure 1 As shown, an embodiment of the present invention discloses an intelligent management method for operation and maintenance of a smart station, including: S110: Determine the equipment to be operated, maintained and managed in the smart station, collect equipment operation management data of the equipment to be operated, maintained and managed based on a preset collection time point, and determine multiple equipment operation management data groups; In this embodiment, the equipment to be operated, maintained and managed refers to equipment that requires intelligent operation, maintenance and management.

[0022] In this embodiment, the collection time points are preset, such as the 1st minute, the 2nd minute, the 3rd minute, the 4th minute, etc., which are specifically in an arithmetic progression.

[0023] In this embodiment, the equipment operation management data includes equipment operation temperature, equipment operation voltage, equipment operation current, equipment operation amplitude, etc., which are not shown one by one here.

[0024] In this embodiment, multiple equipment operation management data can be collected at each collection time point.

[0025] In this embodiment, the same type of data corresponding to each collection time point is combined to determine multiple equipment operation management data groups. For example, the equipment operation temperature corresponding to the 1st minute, the equipment operation temperature corresponding to the 2nd minute, and the equipment operation temperature corresponding to the 3rd minute are combined to obtain an equipment operation management data group, and the remaining data are not shown one by one.

[0026] S120: Analyze the equipment operation management data group to determine a lower limit equipment operation management data factor and an upper limit equipment operation management data factor corresponding to each equipment operation management data group; In some embodiments of the present application, when analyzing the equipment operation management data group to determine the lower limit equipment operation management data factor and the upper limit equipment operation management data factor corresponding to each equipment operation management data group, it includes: Determine the maximum equipment operation management data and the minimum equipment operation management data corresponding to the equipment operation management data group; Determine the lower limit equipment operation management data factor corresponding to the equipment operation management data group according to the following formula: ; Among them, k1 is the lower limit equipment operation management data factor corresponding to the equipment operation management data group, j is the number of equipment operation management data in the equipment operation management data group, and g h is the jth device operation management data in the device operation management data group, g max is the maximum equipment operation management data, g min Run management data for the smallest device; Determine the upper limit equipment operation management data factor corresponding to the equipment operation management data group according to the following formula: ; Among them, k2 is the upper limit equipment operation management data factor corresponding to the equipment operation management data group.

[0027] The beneficial effect of the above technical solution is: the present invention determines the lower limit equipment operation management data factor and the upper limit equipment operation management data factor corresponding to each equipment operation management data group according to the maximum equipment operation management data and the minimum equipment operation management data; the lower limit equipment operation management data factor and the upper limit equipment operation management data factor can reflect the upper limit and lower limit conditions of the equipment operation management data group, thereby realizing a comprehensive analysis of the equipment operation management data group.

[0028] S130: Determine a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; In some embodiments of the present application, when determining a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor, it includes: Calculate the equipment operation management data factors and values ​​of the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; Extracting the equipment operation management data factors and values ​​corresponding to each equipment operation management data group respectively; Randomly selecting a first equipment operation management data factor and value and a second equipment operation management data factor and value, and using the first equipment operation management data factor and value and the second equipment operation management data factor and value as a first comprehensive equipment operation management data factor combination; Randomly select a third equipment operation management data factor and value, calculate a first sum value corresponding to the first comprehensive equipment operation management data factor combination, calculate a first difference between the first sum value and the third equipment operation management data factor and value, determine whether the first difference is greater than or equal to a preset difference, and if so, update the third equipment operation management data factor and value to the first comprehensive equipment operation management data factor combination; If not, the first comprehensive equipment operation management data factor combination is used as a comprehensive equipment operation management data factor combination, a fourth equipment operation management data factor and value are randomly extracted, and the fourth equipment operation management data factor and value and the third equipment operation management data factor and value are used as a second comprehensive equipment operation management data factor combination; Randomly select a fifth equipment operation management data factor and value, calculate a second sum value corresponding to the second comprehensive equipment operation management data factor combination, and calculate a second difference between the second sum value and the fifth equipment operation management data factor and value, determine whether the second difference value is greater than or equal to the preset difference value, and if so, update the fifth equipment operation management data factor and value to the second comprehensive equipment operation management data factor combination; If not, taking the second comprehensive equipment operation management data factor combination as a comprehensive equipment operation management data factor combination; In this way, updates and iterations are carried out to obtain multiple comprehensive equipment operation management data factor combinations based on all equipment operation management data factors and values.

[0029] In this embodiment, the preset difference is preferably 5, and can be adjusted according to actual conditions.

[0030] The beneficial effect of the above technical solution is that the equipment operation management data factors and values ​​of the present invention can divide the lower limit equipment operation management data factors and the upper limit equipment operation management data factors into multiple comprehensive equipment operation management data factor combinations, laying the foundation for subsequent calculations.

[0031] S140: Analyze all the comprehensive equipment operation management data factor combinations, and calculate the operation and maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results; In some embodiments of the present application, when analyzing all the comprehensive equipment operation management data factor combinations and calculating the operation maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results, it includes: Perform curve fitting for each comprehensive equipment operation management data factor combination, determine the curve slope corresponding to each comprehensive equipment operation management data factor combination, and use it as the horizontal comprehensive equipment operation management data coefficient, wherein if the number of comprehensive equipment operation management data factor combinations is 1, the curve slope is recorded as 1; Calculate the sum value corresponding to each combination of comprehensive equipment operation management data factors and use it as the vertical comprehensive equipment operation management data coefficient; The operation and maintenance management risk coefficient of the equipment to be operated and maintained is calculated based on the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient.

[0032] In this embodiment, if the number of the comprehensive equipment operation management data factor combination is 1, the slope of the curve is recorded as 1. If the number is greater than 1, the slope of the curve is determined.

[0033] The beneficial effect of the above technical solution is that the present invention obtains the horizontal comprehensive equipment operation management data coefficient and the vertical comprehensive equipment operation management data coefficient by calculation, thereby laying a foundation for calculating the operation and maintenance management risk coefficient.

[0034] In some embodiments of the present application, when calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Randomly extracting a horizontal comprehensive equipment operation management data coefficient and a vertical comprehensive equipment operation management data coefficient corresponding to a comprehensive equipment operation management data factor combination, and using them as the first horizontal comprehensive equipment operation management data coefficient and the first vertical comprehensive equipment operation management data coefficient; Randomly extracting a horizontal comprehensive equipment operation management data coefficient and a vertical comprehensive equipment operation management data coefficient corresponding to another comprehensive equipment operation management data factor combination, and using them as a second horizontal comprehensive equipment operation management data coefficient and a second vertical comprehensive equipment operation management data coefficient; Calculating the absolute value of the difference between the first horizontal comprehensive equipment operation management data coefficient and the second horizontal comprehensive equipment operation management data coefficient; Extracting the maximum horizontal comprehensive equipment operation management data coefficient and the minimum horizontal comprehensive equipment operation management data coefficient from all horizontal comprehensive equipment operation management data coefficients, and calculating the horizontal comprehensive equipment operation management data coefficient range value of the maximum horizontal comprehensive equipment operation management data coefficient and the minimum horizontal comprehensive equipment operation management data coefficient; Calculate the ratio of the absolute value of the horizontally integrated equipment operation management data coefficient difference and the extreme value of the horizontally integrated equipment operation management data coefficient.

[0035] In this embodiment, the difference between the first horizontal integrated equipment operation management data coefficient and the second horizontal integrated equipment operation management data coefficient is calculated, and then the absolute value is taken to obtain the absolute value of the difference between the horizontal integrated equipment operation management data coefficients.

[0036] In some embodiments of the present application, when calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Calculating the absolute value of the difference between the first longitudinal integrated equipment operation management data coefficient and the second longitudinal integrated equipment operation management data coefficient; Extracting the maximum longitudinal integrated equipment operation management data coefficient and the minimum longitudinal integrated equipment operation management data coefficient from all longitudinal integrated equipment operation management data coefficients, and calculating the longitudinal integrated equipment operation management data coefficient range value of the maximum longitudinal integrated equipment operation management data coefficient and the minimum longitudinal integrated equipment operation management data coefficient; Calculate the ratio of the absolute value of the longitudinal comprehensive equipment operation management data coefficient difference and the longitudinal comprehensive equipment operation management data coefficient extreme difference.

[0037] In this embodiment, the difference between the first longitudinal integrated equipment operation management data coefficient and the second longitudinal integrated equipment operation management data coefficient is calculated, and then the absolute value is taken to obtain the absolute value of the difference between the longitudinal integrated equipment operation management data coefficients.

[0038] In some embodiments of the present application, when calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Calculate the sum of the horizontal comprehensive equipment operation management data coefficient ratio and the vertical comprehensive equipment operation management data coefficient ratio as the comprehensive equipment operation management data coefficient to be calculated; Extract all the comprehensive equipment operation management data coefficients to be calculated, and randomly combine them in pairs to obtain multiple comprehensive equipment operation management data coefficient groups to be calculated; The operation and maintenance management risk coefficient of the equipment to be operated and maintained is calculated based on all the comprehensive equipment operation and management data coefficient groups to be calculated.

[0039] In this embodiment, after all the comprehensive equipment operation management data coefficients to be calculated are randomly combined in pairs, if there are separate comprehensive equipment operation management data coefficients to be calculated, they can be deleted.

[0040] In this embodiment, the operation and maintenance management risk coefficient of the equipment to be operated and maintained is calculated according to the following formula: ; Among them, q is the operation and maintenance management risk coefficient of the equipment to be operated and maintained, n is the number of comprehensive equipment operation and management data coefficient groups to be calculated, and u1 y is a coefficient of the comprehensive equipment operation management data to be calculated in the yth group of comprehensive equipment operation management data coefficients to be calculated, u2 y is another comprehensive equipment operation management data coefficient to be calculated in the yth comprehensive equipment operation management data coefficient group to be calculated, For all The minimum value of For all The maximum value of .

[0041] The beneficial effects of the above technical solution are: the present invention extracts all the comprehensive equipment operation management data coefficients to be calculated, and randomly combines them in pairs to obtain multiple comprehensive equipment operation management data coefficient groups to be calculated; the operation and maintenance management risk coefficients of the equipment to be operated and maintained are calculated based on all the comprehensive equipment operation management data coefficient groups to be calculated, thereby ensuring the calculation accuracy and efficiency of the operation and maintenance management risk coefficients, and providing a reliable basis for judging whether the smart station needs operation and maintenance management, without the need for manual experience judgment, ensuring judgment accuracy, and eliminating judgment errors.

[0042] S150: judging whether the equipment to be operated, maintained and managed has an operation risk based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and a preset operation, maintenance and management risk coefficient; if so, issuing an alarm and performing operation and maintenance on the equipment to be operated, maintained and managed.

[0043] In some embodiments of the present application, when judging whether the equipment to be operated, maintained and managed has an operation risk based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and a preset operation, maintenance and management risk coefficient, it includes: When the operation maintenance management risk coefficient is less than the preset operation maintenance management risk coefficient, it is determined that the equipment to be operated maintenance management has no operation risk; When the operation maintenance management risk coefficient is greater than or equal to the preset operation maintenance management risk coefficient, it is determined that the equipment to be operated maintenance management has an operation risk.

[0044] In this embodiment, the preset operation, maintenance and management risk coefficient is preferably 4, and can be set specifically according to actual conditions.

[0045] The beneficial effect of the above technical solution is: the present invention determines whether there is an operation risk of the equipment to be operated and maintained based on the operation and maintenance risk coefficient of the equipment to be operated and maintained and the preset operation and maintenance risk coefficient, realizes intelligent operation and maintenance management of smart stations, improves the efficiency and accuracy of operation and maintenance management, improves the operation efficiency, reliability and safety of smart stations, and reduces operation and maintenance costs.

[0046] In order to further explain the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0047] Correspondingly, such as Figure 2 As shown, the present application also provides an intelligent management system for operation and maintenance of a smart station, including: A data collection module is used to determine the equipment to be operated, maintained and managed in the smart station, collect the equipment operation management data of the equipment to be operated, maintained and managed based on a preset collection time point, and determine multiple equipment operation management data groups; A data analysis module, used to analyze the equipment operation management data group to determine a lower limit equipment operation management data factor and an upper limit equipment operation management data factor corresponding to each equipment operation management data group; A data determination module, used to determine a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; A data calculation module, used to analyze all the comprehensive equipment operation management data factor combinations, and calculate the operation and maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results; The maintenance management module is used to determine whether the equipment to be operated, maintained and managed has an operation risk based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and a preset operation, maintenance and management risk coefficient. If so, an alarm is issued to perform operation maintenance on the equipment to be operated, maintained and managed.

[0048] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0049] Although the present invention has been described above with reference to the embodiments, various modifications may be made thereto and parts thereof may be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed by the present invention may be used in combination with each other in any manner, and the fact that these combinations are not fully described in this specification is only for the sake of omitting space and saving resources.

[0050] Those skilled in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart station operation and maintenance intelligent management method, characterized in that: include: Determine the equipment to be operated, maintained and managed in the smart station, collect the equipment operation management data of the equipment to be operated, maintained and managed based on a preset collection time point, and determine multiple equipment operation management data groups; Analyze the equipment operation management data group to determine a lower limit equipment operation management data factor and an upper limit equipment operation management data factor corresponding to each equipment operation management data group; Determine a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; Analyze all the comprehensive equipment operation management data factor combinations, and calculate the operation and maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results; Based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and the preset operation, maintenance and management risk coefficient, it is judged whether the equipment to be operated, maintained and managed has an operation risk. If so, an alarm is issued and operation maintenance is performed on the equipment to be operated, maintained and managed.

2. The intelligent management method for operation and maintenance of a smart station according to claim 1 is characterized in that: When analyzing the equipment operation management data group to determine the lower limit equipment operation management data factor and the upper limit equipment operation management data factor corresponding to each equipment operation management data group, it includes: Determine the maximum equipment operation management data and the minimum equipment operation management data corresponding to the equipment operation management data group; Determine the lower limit equipment operation management data factor corresponding to the equipment operation management data group according to the following formula: ； Among them, k1 is the lower limit equipment operation management data factor corresponding to the equipment operation management data group, j is the number of equipment operation management data in the equipment operation management data group, and g h is the jth device operation management data in the device operation management data group, g max is the maximum equipment operation management data, g min Run management data for the smallest device; Determine the upper limit equipment operation management data factor corresponding to the equipment operation management data group according to the following formula: ； Among them, k2 is the upper limit equipment operation management data factor corresponding to the equipment operation management data group.

3. The intelligent management method for operation and maintenance of a smart station according to claim 1 is characterized in that: When determining a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor, it includes: Calculate the equipment operation management data factors and values ​​of the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; Extracting the equipment operation management data factors and values ​​corresponding to each equipment operation management data group respectively; Randomly selecting a first equipment operation management data factor and value and a second equipment operation management data factor and value, and using the first equipment operation management data factor and value and the second equipment operation management data factor and value as a first comprehensive equipment operation management data factor combination; Randomly select a third equipment operation management data factor and value, calculate a first sum value corresponding to the first comprehensive equipment operation management data factor combination, calculate a first difference between the first sum value and the third equipment operation management data factor and value, determine whether the first difference is greater than or equal to a preset difference, and if so, update the third equipment operation management data factor and value to the first comprehensive equipment operation management data factor combination; If not, the first comprehensive equipment operation management data factor combination is used as a comprehensive equipment operation management data factor combination, a fourth equipment operation management data factor and value are randomly extracted, and the fourth equipment operation management data factor and value and the third equipment operation management data factor and value are used as a second comprehensive equipment operation management data factor combination; Randomly select a fifth equipment operation management data factor and value, calculate a second sum value corresponding to the second comprehensive equipment operation management data factor combination, and calculate a second difference between the second sum value and the fifth equipment operation management data factor and value, determine whether the second difference value is greater than or equal to the preset difference value, and if so, update the fifth equipment operation management data factor and value to the second comprehensive equipment operation management data factor combination; If not, taking the second comprehensive equipment operation management data factor combination as a comprehensive equipment operation management data factor combination; In this way, updates and iterations are carried out to obtain multiple comprehensive equipment operation management data factor combinations based on all equipment operation management data factors and values.

4. The intelligent management method for operation and maintenance of a smart station according to claim 1 is characterized in that: When analyzing all the comprehensive equipment operation management data factor combinations and calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results, it includes: Perform curve fitting for each comprehensive equipment operation management data factor combination, determine the curve slope corresponding to each comprehensive equipment operation management data factor combination, and use it as the horizontal comprehensive equipment operation management data coefficient, wherein if the number of comprehensive equipment operation management data factor combinations is 1, the curve slope is recorded as 1; Calculate the sum value corresponding to each combination of comprehensive equipment operation management data factors and use it as the vertical comprehensive equipment operation management data coefficient; The operation and maintenance management risk coefficient of the equipment to be operated and maintained is calculated based on the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient.

5. The intelligent management method for operation and maintenance of a smart station according to claim 4 is characterized in that: When calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Randomly extracting a horizontal comprehensive equipment operation management data coefficient and a vertical comprehensive equipment operation management data coefficient corresponding to a comprehensive equipment operation management data factor combination, and using them as the first horizontal comprehensive equipment operation management data coefficient and the first vertical comprehensive equipment operation management data coefficient; Randomly extracting a horizontal comprehensive equipment operation management data coefficient and a vertical comprehensive equipment operation management data coefficient corresponding to another comprehensive equipment operation management data factor combination, and using them as a second horizontal comprehensive equipment operation management data coefficient and a second vertical comprehensive equipment operation management data coefficient; Calculating the absolute value of the difference between the first horizontal comprehensive equipment operation management data coefficient and the second horizontal comprehensive equipment operation management data coefficient; Extracting the maximum horizontal comprehensive equipment operation management data coefficient and the minimum horizontal comprehensive equipment operation management data coefficient from all horizontal comprehensive equipment operation management data coefficients, and calculating the horizontal comprehensive equipment operation management data coefficient range value of the maximum horizontal comprehensive equipment operation management data coefficient and the minimum horizontal comprehensive equipment operation management data coefficient; Calculate the ratio of the absolute value of the horizontally integrated equipment operation management data coefficient difference and the extreme value of the horizontally integrated equipment operation management data coefficient.

6. The intelligent management method for operation and maintenance of a smart station according to claim 5 is characterized in that: When calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Calculating the absolute value of the difference between the first longitudinal integrated equipment operation management data coefficient and the second longitudinal integrated equipment operation management data coefficient; Extracting the maximum longitudinal integrated equipment operation management data coefficient and the minimum longitudinal integrated equipment operation management data coefficient from all longitudinal integrated equipment operation management data coefficients, and calculating the longitudinal integrated equipment operation management data coefficient range value of the maximum longitudinal integrated equipment operation management data coefficient and the minimum longitudinal integrated equipment operation management data coefficient; Calculate the ratio of the absolute value of the longitudinal comprehensive equipment operation management data coefficient difference and the longitudinal comprehensive equipment operation management data coefficient extreme difference.

7. The intelligent management method for operation and maintenance of a smart station according to claim 6 is characterized in that: When calculating the operation and maintenance management risk coefficient of the equipment to be operated and maintained according to the horizontal integrated equipment operation and management data coefficient and the vertical integrated equipment operation and management data coefficient, it includes: Calculate the sum of the horizontal comprehensive equipment operation management data coefficient ratio and the vertical comprehensive equipment operation management data coefficient ratio as the comprehensive equipment operation management data coefficient to be calculated; Extract all the comprehensive equipment operation management data coefficients to be calculated, and randomly combine them in pairs to obtain multiple comprehensive equipment operation management data coefficient groups to be calculated; The operation and maintenance management risk coefficient of the equipment to be operated and maintained is calculated based on all the comprehensive equipment operation and management data coefficient groups to be calculated.

8. The intelligent management method for operation and maintenance of a smart station according to claim 1 is characterized in that: When judging whether the equipment to be operated, maintained and managed has an operation risk based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and the preset operation, maintenance and management risk coefficient, the method includes: When the operation maintenance management risk coefficient is less than the preset operation maintenance management risk coefficient, it is determined that the equipment to be operated maintenance management has no operation risk; When the operation maintenance management risk coefficient is greater than or equal to the preset operation maintenance management risk coefficient, it is determined that the equipment to be operated maintenance management has an operation risk.

9. A smart station operation and maintenance intelligent management system, applied to the smart station operation and maintenance intelligent management method according to any one of claims 1 to 8, characterized in that: include: A data collection module is used to determine the equipment to be operated, maintained and managed in the smart station, collect the equipment operation management data of the equipment to be operated, maintained and managed based on a preset collection time point, and determine multiple equipment operation management data groups; A data analysis module, used to analyze the equipment operation management data group to determine a lower limit equipment operation management data factor and an upper limit equipment operation management data factor corresponding to each equipment operation management data group; A data determination module, used to determine a plurality of comprehensive equipment operation management data factor combinations corresponding to the equipment to be operated, maintained and managed according to the lower limit equipment operation management data factor and the upper limit equipment operation management data factor; A data calculation module, used to analyze all the comprehensive equipment operation management data factor combinations, and calculate the operation and maintenance management risk coefficient of the equipment to be operated and maintained based on the analysis results; The maintenance management module is used to determine whether the equipment to be operated, maintained and managed has an operation risk based on the operation, maintenance and management risk coefficient of the equipment to be operated, maintained and managed and a preset operation, maintenance and management risk coefficient. If so, an alarm is issued to perform operation maintenance on the equipment to be operated, maintained and managed.

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