Method and system for constructing digital management evaluation index system

Abstract

The invention discloses a digital management evaluation index system construction method and system, and relates to the technical field of power grid equipment risk management. At present, a power grid service unit has the problems of long standby time, high cost and the like, the system comprises a data acquisition module, a data processing module, an index judgment module and a response module, the data processing module comprises a first analysis unit and a second analysis unit, and the first analysis unit generates a first risk index based on equipment operation data of a current company; the second analysis unit generates a second risk index based on the event data of the subordinate supply company, and sets risk levels based on the first risk index and the second risk index, the risk levels including at least first, second, third, and fourth levels. According to the technical scheme, through digital information acquisition and processing, multi-level evaluation indexes and management suggestions are provided for maintenance and replacement of equipment and purchase of parts, and the storage cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid equipment risk management, and in particular to a method and system for constructing a digital management evaluation index system. Background Art

[0002] Some companies cooperating with the power grid are responsible for providing the power equipment required by the power grid and carrying out regular maintenance and replacement of equipment. In order to be able to make replacements in time, the required parts are often kept in reserve. Premature reserve of parts not only increases storage costs but also easily delays the warranty of some vulnerable parts, thereby increasing the cost of using parts. However, the model of purchasing as needed is often restricted by the operation of the lower-level supply company or equipment. That is, when the supply time of the lower-level supply company is unstable or the equipment needs to be replaced urgently, the parts cannot be replaced in time, causing some power grid failures. Obviously, this is unacceptable for the operation of the power grid.

[0003] At present, most power grid cooperative enterprises set a relatively long backup time for the operation of the power grid, which results in the limitation and waste of this part of the cost. In view of this, the present invention proposes a method and system for constructing a digital management evaluation index system, which provides multi-level evaluation indicators and management suggestions for equipment maintenance, replacement and parts procurement through digital information collection and processing, thereby reducing backup costs. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for constructing a digital management evaluation index system to solve the following technical problems: How to provide multi-level evaluation indicators and management suggestions for equipment maintenance, replacement and parts procurement through digital information collection and processing.

[0005] The purpose of the present invention can be achieved by the following technical solutions: The digital management evaluation index system construction system includes: A data collection module, a data processing module, an indicator judgment module and a response module. The data collection module is used to collect the equipment operation data of the current company and the event data of the lower-level supplier of equipment parts and components. The event data includes the off-duty information of the contact personnel of the lower-level supplier company and the event score of the public event; The data processing module includes a first analysis unit and a second analysis unit, wherein the first analysis unit generates a first risk index based on the equipment operation data of the current company, and the second analysis unit generates a second risk index based on the event data of the subordinate supply company; The indicator judgment module sets a risk level based on the first risk index and the second risk index, and the risk level includes at least a first level, a second level, a third level and a fourth level; The response module provides response plans based on risk levels, wherein the first level response plan includes normal replacement of parts according to the planned date and normal stocking of corresponding parts, the second level response plan includes normal replacement of parts according to the planned date and advance stocking of corresponding parts, the third level response plan includes early maintenance, and the fourth level response plan includes emergency maintenance.

[0006] Through the above technical solution: it provides an enterprise management solution for enterprises such as some power supply enterprises that need to strictly and timely replace faulty equipment through digital analysis. In the present invention, through real-time data collection, key data is collected from multiple interfaces and databases of enterprise operations to generate risk level scores. According to the evaluation results, the system automatically starts preset response measures, including notifying relevant departments and adjusting operation strategies. All risk management activities will be recorded and evaluated for future review and optimization. This technical solution provides multi-level evaluation indicators and management suggestions for equipment maintenance and replacement and parts procurement through digital information collection and processing, reducing inventory costs.

[0007] As a further technical solution of the present invention: the process of collecting the equipment operation data of the current company includes: The data acquisition module includes a collection station and a storage terminal, and the collection station numbers the same power equipment and sets a corresponding key; Compress the equipment operation data uploaded by the power equipment to obtain a compressed data packet and add a corresponding key to the compressed data packet according to the equipment number; The storage terminal unlocks and decompresses the received data packet through the key library, and the storage terminal classifies and stores the decompressed device operation data according to the unlocking key and the corresponding device number.

[0008] As a further technical solution of the present invention: the process of generating the first risk index based on the equipment operation data of the current company by the first analysis unit includes: Classify the equipment operation data according to data types, and set standard values ​​for each data type based on the historical operation data of the equipment; Obtaining the collected values ​​of the monitoring period from the classified equipment operation data, and obtaining the fluctuation coefficient based on the collected values ​​and the standard value; Perform time series analysis based on the records of the volatility coefficient, and obtain several forecast values ​​based on the results of the time series analysis; A linear regression analysis was performed on several predicted values, and the slope of the regression line was set as the first risk index.

[0009] Through the above technical solution: a process for obtaining the first risk coefficient is provided, which facilitates the corresponding enterprises to quickly deploy effective response measures through prediction to reduce the negative impact that risks may bring. The automated risk response mechanism can ensure that enterprises can respond quickly and accurately when faced with emergencies to maintain business continuity and stability.

[0010] As a further technical solution of the present invention: the process of obtaining the fluctuation coefficient based on the collected value and the standard value includes:

[0011] Among them, the fluctuation coefficient of the current monitoring period is , is the total number of categories of the equipment operation data of the current power equipment, is the number of categories where the collected value and the standard value are the same, is the collected value, is the corresponding standard value, These are the correction values ​​preset for different categories.

[0012] As a further technical solution of the present invention: the event data collection process includes: Set the first query period and obtain the off-duty information of the contact personnel of the subordinate supply company during the first query period; Setting a second query period and an event library, wherein the event library is composed of a plurality of preset events, and each preset event has a corresponding preset scoring interval; During the second query period, the first keyword is obtained through semantic analysis of the text of the company's related web pages, and the target event is selected from the event library based on the first keyword to obtain a scoring interval. Then, the second keyword is obtained through semantic analysis based on the related text of the first keyword, and the event score is selected from the scoring interval based on the second keyword.

[0013] As a further technical solution of the present invention: the process of generating the second risk index based on the event data of the subordinate supply company includes: By formula:

[0014] in, It is the total number of personnel who work with the subordinate supplier company corresponding to the current equipment in the process of supplying corresponding parts. is the number of non-employed personnel among the contact personnel provided by the subordinate supply company during the first query period, is the number of docking links involved by the non-employed personnel of the docking personnel obtained during the first query period, is the difficulty value of the kth docking link among the docking links involving the non-employed personnel of the current supply company, It is a compensation coefficient set based on the difference between the number of non-employed personnel provided by the current supply company and the actual number of non-employed personnel. The position coefficient of the jth event, is the event score of the jth event, is the total number of public events that the event library wants to match. and They are respectively the preset first weight coefficient and the second weight coefficient.

[0015] As a further technical solution of the present invention: the process of setting the risk level based on the first risk index and the second risk index includes: A judgment interval is set for the first risk index. If the first risk index is on the right side of the judgment interval, the output risk level is the fourth level. If the first risk index is within the judgment interval, the output risk level is the third level; If the first risk index is on the left side of the judgment interval, a second risk coefficient is obtained, and the second risk coefficient is compared with a preset safety threshold; If the second risk coefficient is not less than the preset safety threshold, the output risk level is the second level; If the second risk coefficient is less than the preset safety threshold, the output risk level is the first level.

[0016] Through the above technical scheme: a process for performing risk level analysis is provided. Specifically, the present invention performs a first analysis through the data generated by the operation of the equipment, distinguishes the equipment that may fail from the equipment that operates normally by means of data prediction, and then, for the equipment that operates normally, obtains a second risk coefficient by analyzing the event data of the lower-level supplier companies of its parts, and performs a second distinction on the equipment that operates normally based on the second risk coefficient, thereby generating at least four risk levels and providing a more comprehensive operation management solution. Obviously, when there are multiple lower-level suppliers for an electric power equipment, they need to be judged separately.

[0017] As a further technical solution of the present invention: the process of preparing corresponding parts in advance in the second-level response solution includes: Obtain case data where the supply time taken by the current power equipment's lower-level supply company exceeds the standard time; A dot matrix is ​​constructed using the difference in the number of days between the time taken and the standard time in multiple case data and the corresponding second risk coefficient; Fitting is performed based on the dot matrix to obtain a control curve; The actually obtained second risk coefficient is substituted into the control curve to obtain the corresponding day difference, and the day difference is used as the advance days in the second-level response plan.

[0018] The method for constructing a digital management evaluation index system includes the following steps: Collect the equipment operation data of the current company and the event data of the equipment parts and components supplier companies; Generate a first risk index based on the current company's equipment operation data; generating a second risk index based on the event data of the subordinate supply company; Setting a risk level based on the first risk index and the second risk index, and providing a response plan according to the risk level, the risk level including at least the first level, the second level, the third level and the fourth level; The first-level response plan includes normal replacement of parts according to the planned date and normal stocking of corresponding parts. The second-level response plan includes normal replacement of parts according to the planned date and advance stocking of corresponding parts. The third-level response plan includes early maintenance. The fourth-level response plan includes emergency maintenance.

[0019] Beneficial effects of the present invention: (1) The present invention provides enterprise management solutions through digital analysis for enterprises that need to strictly and promptly replace faulty equipment, such as some power supply enterprises. Through real-time data acquisition, key data is collected from multiple interfaces and databases of enterprise operations to generate risk level scores. Based on the evaluation results, the system automatically initiates preset response measures, including notifying relevant departments and adjusting operating strategies. All risk management activities will be recorded and evaluated for future review and optimization.

[0020] (2) The present invention facilitates the corresponding enterprises to quickly deploy effective response measures through prediction, thereby reducing the negative impact that risks may bring. The automated risk response mechanism can ensure that enterprises can respond quickly and accurately when faced with emergencies, thereby maintaining business continuity and stability.

[0021] (3) The present invention performs a first analysis on the data generated by the operation of the equipment, and distinguishes the equipment that may fail from the equipment that is operating normally by means of data prediction. Then, for the equipment that is operating normally, a second risk factor is obtained by analyzing the event data of the lower-level supplier companies of its parts, and the equipment that is operating normally is distinguished for a second time based on the second risk factor, thereby generating at least four risk levels and providing a more comprehensive operation management solution.

[0022] (4) The present invention provides multi-level evaluation indicators and management suggestions for equipment maintenance, replacement and parts procurement through digital information collection and processing, thereby reducing inventory costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention will be further described below in conjunction with the accompanying drawings.

[0024] Figure 1 It is a schematic diagram of the overall module composition of the present invention.

[0025] Figure 2 It is a schematic diagram of the composition of the data processing module of the present invention.

[0026] Figure 3 It is a flow chart of the steps of the index system construction method of the present invention. DETAILED DESCRIPTION

[0027] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] See also Figure 1-Figure 2 As shown, in one embodiment, a digital management evaluation index system construction system is provided, including: a data collection module, a data processing module, an index judgment module and a response module, the data collection module is used to collect the equipment operation data of the current company and the event data of the equipment spare parts subordinate supply company, the event data includes the off-duty information of the contact personnel of the subordinate supply company and the event score of the public event; The data processing module includes a first analysis unit and a second analysis unit, the first analysis unit generates a first risk index based on the equipment operation data of the current company, and the second analysis unit generates a second risk index based on the event data of the subordinate supply company; The indicator judgment module sets a risk level based on the first risk index and the second risk index, and the risk level includes at least a first level, a second level, a third level and a fourth level; The response module provides response plans based on the risk level. The first level response plan includes normal replacement of parts according to the planned date and normal stocking of corresponding parts. The second level response plan includes normal replacement of parts according to the planned date and advance stocking of corresponding parts. The third level response plan includes early maintenance. The fourth level response plan includes emergency maintenance.

[0029] This embodiment provides an enterprise management solution through digital analysis for enterprises that need to be able to strictly and promptly replace faulty equipment, such as some power supply companies. In the present invention, through real-time data acquisition, key data is collected from multiple interfaces and databases of enterprise operations to generate risk level scores. Based on the evaluation results, the system automatically initiates preset response measures, including notifying relevant departments and adjusting operating strategies. All risk management activities will be recorded and evaluated for future review and optimization.

[0030] The process of collecting the current company's equipment operation data includes: The data acquisition module includes a collection station and a storage terminal. The collection station numbers the same power equipment and sets the corresponding key. The collection station can be set one-to-one or one-to-many, based on the use cost and the historical judgment record of the power equipment. When the collection station is set one-to-many, the maintenance personnel need to repair multiple devices, which will reduce the maintenance accuracy but reduce the data collection cost; Compress the equipment operation data uploaded by the power equipment to obtain a compressed data packet and add a corresponding key to the compressed data packet according to the equipment number; The storage terminal unlocks and decompresses the received data packet through the key library, and the storage terminal classifies and stores the decompressed device operation data according to the unlocking key and the corresponding device number.

[0031] The process of the first analysis unit generating the first risk index based on the equipment operation data of the current company includes: Classify the equipment operation data according to data types, and set standard values ​​for each data type based on the historical operation data of the equipment; Obtaining the collected values ​​of the monitoring period from the classified equipment operation data, and obtaining the fluctuation coefficient based on the collected values ​​and the standard value; Perform time series analysis based on the records of the volatility coefficient, and obtain a number of forecast values ​​based on the results of the time series analysis. The specific model used in the time series analysis is not limited, and the Winter addition model is preferred; A linear regression analysis was performed on several predicted values, and the slope of the regression line was set as the first risk index.

[0032] This embodiment provides a process for obtaining the first risk coefficient, which facilitates the corresponding enterprises to quickly deploy effective response measures through prediction to reduce the negative impact that risks may bring. The automated risk response mechanism can ensure that enterprises can respond quickly and accurately when faced with emergencies and maintain business continuity and stability.

[0033] The process of obtaining the fluctuation coefficient based on the collected value and the standard value includes:

[0034] Among them, the fluctuation coefficient of the current monitoring period is , is the total number of categories of the equipment operation data of the current power equipment, is the number of categories where the collected value and the standard value are the same, is the collected value, is the corresponding standard value, It is the correction value preset for different categories and is a constant.

[0035] As an example, the event data collection process includes: Set the first query period, and obtain the off-duty information of the contact personnel of the subordinate supply company during the first query period, including resignation information and leave information. The first query period is set based on the resignation and leave regulations of the subordinate supply company, which is generally a few days before the maximum procurement cycle. The several days are the time span between the resignation report and the resignation time as defaulted or required by law by the subordinate supply company. Resignation or leave during the procurement period planned by the superior equipment management company is considered as off-duty; Set the second query period and event library. The event library consists of multiple preset events. Each preset event has a preset scoring interval. The second query period can be set within the first two months of the maximum procurement cycle. During the second query period, the first keyword is obtained through semantic analysis of the text of the company's related web pages, and the target event is selected from the event library based on the first keyword to obtain a scoring interval. Then, the second keyword is obtained through semantic analysis based on the related text of the first keyword, and the event score is selected from the scoring interval based on the second keyword.

[0036] The process of generating the second risk index based on the event data of the lower-tier supply company includes: By formula:

[0037] in, It is the total number of personnel who work with the subordinate supplier company corresponding to the current equipment in the process of supplying corresponding parts. is the number of non-employed personnel among the contact personnel provided by the subordinate supply company during the first query period, is the number of docking links involved by the non-employed personnel of the docking personnel obtained during the first query period, is the difficulty value of the kth docking link among the docking links involving the non-employed personnel of the current supply company, It is a compensation coefficient set based on the difference between the number of non-employed personnel provided by the current supply company and the actual number of non-employed personnel. It can be selected and set through the preset comparison table. The position coefficient of the jth event, is the event score of the jth event, is the total number of public events that the event library wants to match. is greater than 0 and less than +1 natural number, and They are respectively a preset first weight coefficient and a second weight coefficient, which are set based on empirical data and are constants.

[0038] The process of setting the risk level based on the first risk index and the second risk index includes: A judgment interval is set for the first risk index. If the first risk index is on the right side of the judgment interval, the output risk level is the fourth level. If the first risk index is within the judgment interval, the output risk level is the third level; If the first risk index is on the left side of the judgment interval, a second risk coefficient is obtained, and the second risk coefficient is compared with a preset safety threshold; If the second risk coefficient is not less than the preset safety threshold, the output risk level is the second level; If the second risk coefficient is less than the preset safety threshold, the output risk level is the first level, wherein the judgment interval and the preset safety threshold are set according to empirical data within the value range of the first risk index and the second risk index, respectively.

[0039] The present embodiment provides a process for performing risk level analysis. Specifically, the present invention performs a first analysis through the data generated by the operation of the equipment, distinguishes the equipment that may fail from the equipment that is operating normally through data prediction, and then, for the equipment that is operating normally, obtains a second risk coefficient by analyzing the event data of the lower-level supplier companies of its parts, and performs a second distinction on the equipment that is operating normally based on the second risk coefficient, thereby generating at least four risk levels and providing a more comprehensive operation management solution. Obviously, when there are multiple lower-level suppliers for an electric power equipment, they need to be judged separately.

[0040] The process of preparing corresponding parts in advance in the second-level response plan includes: Obtain case data where the supply time taken by the current power equipment's lower-level supply company exceeds the standard time; A dot matrix is ​​constructed using the difference in the number of days between the time taken and the standard time in multiple case data and the corresponding second risk coefficient; Fitting is performed based on the dot matrix to obtain a control curve; The actually obtained second risk coefficient is substituted into the control curve to obtain the corresponding day difference, and the day difference is used as the advance days in the second-level response plan.

[0041] refer to Figure 3 This embodiment provides a method for constructing a digital management evaluation index system, including the following steps: S1. Collect the equipment operation data of the current company and the event data of the equipment parts and components supplier companies; S2. Generate a first risk index based on the current company's equipment operation data; S3. generating a second risk index based on the event data of the subordinate supply company; S4. Setting a risk level based on the first risk index and the second risk index, and providing a response plan according to the risk level, wherein the risk level includes at least the first level, the second level, the third level and the fourth level; The first-level response plan includes normal replacement of parts according to the planned date and normal stocking of corresponding parts. The second-level response plan includes normal replacement of parts according to the planned date and advance stocking of corresponding parts. The third-level response plan includes early maintenance. The fourth-level response plan includes emergency maintenance.

[0042] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A digital management evaluation index system construction system, including a data acquisition module, a data processing module, an index judgment module and a response module, characterized by: The data collection module is used to collect the equipment operation data of the current company and the event data of the equipment parts and components subordinate supply company, the event data including the off-duty information of the contact personnel of the subordinate supply company and the event score of the public event; The data processing module includes a first analysis unit and a second analysis unit, wherein the first analysis unit generates a first risk index based on the equipment operation data of the current company, and the second analysis unit generates a second risk index based on the event data of the subordinate supply company; The indicator judgment module sets a risk level based on the first risk index and the second risk index, and the risk level includes at least a first level, a second level, a third level and a fourth level; The response module provides response plans based on risk levels, wherein the first level response plan includes normal replacement of parts according to the planned date and normal stocking of corresponding parts, the second level response plan includes normal replacement of parts according to the planned date and advance stocking of corresponding parts, the third level response plan includes early maintenance, and the fourth level response plan includes emergency maintenance.

2. The digital management evaluation index system construction system according to claim 1 is characterized in that: The process of collecting the company's current equipment operation data includes: The data acquisition module includes a collection station and a storage terminal, and the collection station numbers the same power equipment and sets a corresponding key; Compress the equipment operation data uploaded by the power equipment to obtain a compressed data packet and add a corresponding key to the compressed data packet according to the equipment number; The storage terminal unlocks and decompresses the received data packet through the key library, and the storage terminal classifies and stores the decompressed device operation data according to the unlocking key and the corresponding device number.

3. The digital management evaluation index system construction system according to claim 1 is characterized in that: The process of generating the first risk index by the first analysis unit based on the equipment operation data of the current company includes: Classify the equipment operation data according to data types, and set standard values ​​for each data type based on the historical operation data of the equipment; Obtaining the collected values ​​of the monitoring period from the classified equipment operation data, and obtaining the fluctuation coefficient based on the collected values ​​and the standard value; Perform time series analysis based on the records of the volatility coefficient, and obtain several forecast values ​​based on the results of the time series analysis; A linear regression analysis was performed on several predicted values, and the slope of the regression line was set as the first risk index.

4. The digital management evaluation index system construction system according to claim 3 is characterized in that: The process of obtaining the fluctuation coefficient based on the collected value and the standard value includes: Among them, the fluctuation coefficient of the current monitoring period is , is the total number of categories of the equipment operation data of the current power equipment, is the number of categories where the collected value and the standard value are the same, is the collected value, is the corresponding standard value, These are the correction values ​​preset for different categories.

5. The digital management evaluation index system construction system according to claim 1 is characterized in that: The event data collection process includes: Set the first query period and obtain the off-duty information of the contact personnel of the subordinate supply company during the first query period; Setting a second query period and an event library, wherein the event library is composed of a plurality of preset events, and each preset event has a corresponding preset scoring interval; During the second query period, the first keyword is obtained through semantic analysis of the text of the company's related web pages, and the target event is selected from the event library based on the first keyword to obtain a scoring interval. Then, the second keyword is obtained through semantic analysis based on the related text of the first keyword, and the event score is selected from the scoring interval based on the second keyword.

6. The digital management evaluation index system construction system according to claim 5 is characterized in that: The process of generating the second risk index based on the event data of the lower-tier supply company includes: By formula: in, It is the total number of personnel who work with the subordinate supplier company corresponding to the current equipment in the process of supplying corresponding parts. is the number of non-employed personnel among the contact personnel provided by the subordinate supply company during the first query period, is the number of docking links involved by the non-employed personnel of the docking personnel obtained during the first query period, is the difficulty value of the kth docking link among the docking links involving the non-employed personnel of the current supply company, It is a compensation coefficient set based on the difference between the number of non-employed personnel provided by the current supply company and the actual number of non-employed personnel. The position coefficient of the jth event, is the event score of the jth event, is the total number of public events that the event library wants to match. and They are respectively the preset first weight coefficient and the second weight coefficient.

7. The digital management evaluation index system construction system according to claim 1 is characterized in that: The process of setting the risk level based on the first risk index and the second risk index includes: A judgment interval is set for the first risk index. If the first risk index is on the right side of the judgment interval, the output risk level is the fourth level. If the first risk index is within the judgment interval, the output risk level is the third level; If the first risk index is on the left side of the judgment interval, a second risk coefficient is obtained, and the second risk coefficient is compared with a preset safety threshold; If the second risk coefficient is not less than the preset safety threshold, the output risk level is the second level; If the second risk coefficient is less than the preset safety threshold, the output risk level is the first level.

8. The digital management evaluation index system construction system according to claim 1 is characterized in that: The process of preparing corresponding parts in advance in the second-level response plan includes: Obtain case data where the supply time taken by the current power equipment's lower-level supply company exceeds the standard time; A dot matrix is ​​constructed using the difference in the number of days between the time taken and the standard time in multiple case data and the corresponding second risk coefficient; Fitting is performed based on the dot matrix to obtain a control curve; The actually obtained second risk coefficient is substituted into the control curve to obtain the corresponding day difference, and the day difference is used as the advance days in the second-level response plan.

9. A method for constructing a digital management evaluation index system, applied to a digital management evaluation index system construction system as claimed in claims 1 to 8, characterized in that: The steps include: Collect the equipment operation data of the current company and the event data of the equipment parts and components supplier companies; Generate a first risk index based on the current company's equipment operation data; generating a second risk index based on the event data of the subordinate supply company; Setting a risk level based on the first risk index and the second risk index, and providing a response plan according to the risk level, the risk level including at least the first level, the second level, the third level and the fourth level; The first-level response plan includes normal replacement of parts according to the planned date and normal stocking of corresponding parts. The second-level response plan includes normal replacement of parts according to the planned date and advance stocking of corresponding parts. The third-level response plan includes early maintenance. The fourth-level response plan includes emergency maintenance.

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