Equipment quality portrait obtaining method and device of power supplier, computer equipment, readable storage medium and program product

Abstract

The invention relates to the technical field of equipment quality evaluation, and provides an equipment quality portrait obtaining method and device of a power supplier, computer equipment, a readable storage medium and a program product. The method comprises the steps of obtaining target equipment data of power equipment of a power supplier in stages of planning design, material purchasing, project construction, operation maintenance and decommissioning and scrapping; determining a plurality of first-level evaluation indexes and a plurality of second-level evaluation indexes corresponding to the first-level evaluation indexes according to the business meaning of the target equipment data in combination with expert experience knowledge information; according to the standardized value of each secondary evaluation index and the weight corresponding to each secondary evaluation index, obtaining the score of each primary evaluation index; and obtaining a comprehensive score of the equipment quality of the power supplier according to the score of each first-level evaluation index and the weight corresponding to each first-level evaluation index so as to obtain an equipment quality portrait of the power supplier. By adopting the method, the accuracy of the equipment quality portrait of the power supplier can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of equipment quality assessment, and in particular to a method, device, computer equipment, computer-readable storage medium, and computer program product for obtaining equipment quality portraits of power suppliers. Background Art

[0002] In the process of purchasing power equipment, paying attention to the quality of power equipment provided by power suppliers is the core of ensuring the efficient and safe operation of the power system. Therefore, it is necessary to obtain the equipment quality portrait of power suppliers to improve the efficiency of power equipment procurement decision-making.

[0003] The existing method for obtaining equipment quality portraits of power suppliers has fewer dimensions of evaluation indicators for power equipment quality, which are mainly static information management indicators. In addition, comprehensive and systematic information on the entire life cycle of power equipment is not utilized when obtaining evaluation indicators. Some factors that are crucial to the quality of power equipment may be ignored, affecting the accuracy of the power supplier's equipment quality portrait. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for obtaining equipment quality portrait of an electricity supplier in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for obtaining a quality portrait of an electric power supplier, comprising:

[0006] Obtain target equipment data of power suppliers' power equipment at various stages of planning and design, material procurement, project construction, operation and maintenance, and decommissioning;

[0007] According to the business meaning of the target device data and in combination with expert experience and knowledge information, a number of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators are determined;

[0008] Obtaining the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators;

[0009] Obtaining a comprehensive score of the equipment quality of the power supplier according to the scores of each first-level evaluation indicator and the weights corresponding to each first-level evaluation indicator;

[0010] Based on the scores of each first-level evaluation indicator and the comprehensive score, an equipment quality portrait of the power supplier is obtained.

[0011] In one embodiment, the acquisition of target equipment data of power suppliers' power equipment in various stages of planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping includes:

[0012] Standardize the data format of the initial equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages to obtain standardized equipment data;

[0013] Determining first-category standardized equipment data and second-category standardized equipment data according to the regularity significance of the standardized equipment data;

[0014] Reading the standardized device data of the type, or performing logical judgment and calculation on the standardized device data of the type, to obtain target device data;

[0015] Data mining is performed on the two types of standardized equipment data to obtain target equipment data.

[0016] In one embodiment, the determining of a plurality of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators based on the business meaning of the target device data and combined with expert experience knowledge information includes:

[0017] Determine the device status evaluation dimension corresponding to the target device data by combining the business meaning of the target device data with expert experience and knowledge information;

[0018] According to the device status evaluation dimension corresponding to the target device data, a plurality of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators are determined.

[0019] In one embodiment, before obtaining the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators, the method further includes:

[0020] Each type of secondary evaluation index is used as a target type secondary evaluation index in turn; wherein each type of secondary evaluation index includes secondary evaluation indicators corresponding to power equipment of multiple power suppliers;

[0021] Obtain the maximum and minimum values ​​of the secondary evaluation indicators of the target class;

[0022] According to the maximum index value and the minimum index value of the secondary evaluation index of the target class, the range value is obtained;

[0023] Obtaining an original difference value according to the original index value of any secondary evaluation index of the target class secondary evaluation index and the minimum index value;

[0024] According to the extreme value and the original difference, a standardized value of any secondary evaluation index is obtained.

[0025] In one embodiment, before obtaining the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators, the method further includes:

[0026] According to the importance of the link of the equipment life cycle in which each first-level evaluation indicator and each second-level evaluation indicator are located, the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator is preset;

[0027] Obtaining a weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator from a number of users;

[0028] According to the weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator, the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator is adjusted to obtain the corresponding weight of each first-level evaluation indicator and each second-level evaluation indicator.

[0029] In one embodiment, obtaining the score of each primary evaluation indicator according to the standardized value of each secondary evaluation indicator and the weight corresponding to each secondary evaluation indicator includes:

[0030] For any first-level evaluation indicator, multiple second-level evaluation indicators corresponding to any first-level evaluation indicator are used as target second-level evaluation indicators;

[0031] Multiply the standardized value of each target secondary evaluation indicator and the weight corresponding to each target secondary evaluation indicator to obtain the multiplied value corresponding to each target secondary evaluation indicator;

[0032] The multiplied values ​​corresponding to each target secondary evaluation index are added together as the score of any of the primary evaluation indicators.

[0033] In a second aspect, the present application also provides a device for obtaining a quality portrait of an electric power supplier, including:

[0034] The target equipment data acquisition module is used to obtain the target equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages;

[0035] An evaluation index acquisition module, used to determine a number of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators according to the business meaning of the target device data and in combination with expert experience and knowledge information;

[0036] A comprehensive score acquisition module, used to obtain the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators; and to obtain the comprehensive score of the equipment quality of the power supplier according to the scores of the first-level evaluation indicators and the weights corresponding to the first-level evaluation indicators;

[0037] The equipment quality portrait acquisition module is used to obtain the equipment quality portrait of the power supplier based on the scores of the first-level evaluation indicators and the comprehensive score.

[0038] In a third aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the above method.

[0039] In a fourth aspect, the present application further provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to execute the above method.

[0040] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and the computer program is executed by a processor to execute the above method.

[0041] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for acquiring the equipment quality portrait of the power supplier obtain the target equipment data of the power supplier's power equipment in each stage of planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping; according to the business meaning of the target equipment data, combined with expert experience and knowledge information, determine a number of first-level evaluation indicators and multiple second-level evaluation indicators corresponding to the first-level evaluation indicators; according to the standardized value of each second-level evaluation indicator and the weight corresponding to each second-level evaluation indicator, obtain the score of each first-level evaluation indicator; according to the score of each first-level evaluation indicator and the weight corresponding to each first-level evaluation indicator, obtain the comprehensive score of the power supplier's equipment quality; according to the score of each first-level evaluation indicator and the weight corresponding to each first-level evaluation indicator, obtain the equipment quality portrait of the power supplier. This application determines a number of first-level evaluation indicators and a number of second-level evaluation indicators corresponding to the first-level evaluation indicators based on the business meaning of target equipment data in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages of the power supplier's power equipment, combined with expert experience and knowledge information; obtains a comprehensive score for the power supplier's equipment quality based on a number of first-level evaluation indicators and a number of second-level evaluation indicators corresponding to the first-level evaluation indicators, so as to obtain an equipment quality portrait of the power supplier; when obtaining the first-level evaluation indicators and the second-level evaluation indicators, comprehensive and systematic information on the entire life cycle of the power equipment is taken into account, covering evaluation indicators in both dynamic and static aspects, thereby realizing a multi-dimensional evaluation of the quality of the power equipment, thereby improving the accuracy of the equipment quality portrait of the power supplier. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A diagram of an application environment of a method for obtaining a device quality portrait of a power supplier in one embodiment;

[0044] Figure 2 A schematic diagram of a flow chart of a method for acquiring a device quality portrait of a power supplier in one embodiment;

[0045] Figure 3 A schematic diagram of an equipment quality evaluation index system of a power supplier in one embodiment;

[0046] Figure 4 A schematic diagram of an equipment quality portrait of an electricity supplier in one embodiment;

[0047] Figure 5 A schematic diagram of supplier equipment quality ranking in one embodiment;

[0048] Figure 6 A flowchart of steps of a method for acquiring a quality portrait of equipment of a power supplier in another embodiment;

[0049] Figure 7 A structural block diagram of a device for acquiring a quality portrait of an electric power supplier in one embodiment;

[0050] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] The present application embodiment provides a method for obtaining a device quality portrait of a power supplier. The present application embodiment can be executed by a computer device, such as Figure 1As shown, the computer device can obtain the target equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages, and then obtain the equipment quality portrait of the power supplier. It can be understood that the computer device can be implemented through a server, or through a terminal, or through an interactive system between a terminal and a server. In this embodiment, the method includes Figure 2 The steps shown are:

[0053] Step S201, obtaining target equipment data of the power supplier's power equipment in each stage of planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping.

[0054] It can integrate various equipment management information and real-time equipment information such as power grid management platform, production operation support system, production command system, etc., obtain the target equipment data of various power equipment of power suppliers in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping stages, and realize the full process recording of the entire life cycle of various power equipment.

[0055] Step S202, according to the business meaning of the target device data and in combination with the expert experience and knowledge information, a number of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators are determined.

[0056] The business meaning of target device data refers to the actual significance and impact of target device data in the operation, management and decision-making process of the power system.

[0057] According to the business meaning of the target device data, combined with the expert experience and knowledge information in the power grid field, the device status evaluation dimension corresponding to the target device data can be determined, and according to the level of the device status evaluation dimension corresponding to the target device data, several first-level evaluation indicators and multiple second-level evaluation indicators corresponding to the first-level evaluation indicators can be determined. The evaluation dimension of the first-level evaluation indicator is higher than that of the second-level evaluation indicator.

[0058] Exemplarily, the first-level evaluation indicators may include equipment failure, equipment defects, equipment accident events, equipment life, and equipment cost. The second-level evaluation indicators corresponding to equipment failure are failure frequency, failure repair time, and failure type, etc.; the second-level evaluation indicators corresponding to equipment defects are defect frequency, number of defects, and defect type, etc.; the second-level evaluation indicators corresponding to equipment accident events are equipment accident losses, number of equipment hidden dangers, and number of equipment accidents, etc.; the second-level evaluation indicators corresponding to equipment life are replacement frequency of key parts, degree of wear of key parts, actual life, and expected service life, etc.; the second-level evaluation indicators corresponding to equipment cost are maintenance cost, operation and maintenance cost, and procurement cost, etc.; Based on the above-mentioned first-level evaluation indicators and the above-mentioned second-level evaluation indicators, the following can be obtained: Figure 3 The equipment quality evaluation index system of the power supplier is shown.

[0059] Step S203, obtaining the score of each primary evaluation indicator according to the standardized value of each secondary evaluation indicator and the weight corresponding to each secondary evaluation indicator.

[0060] The target equipment data of all power suppliers' respective power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping stages can be collected, and the value of each secondary evaluation indicator can be obtained based on the definition and calculation method of each secondary evaluation indicator.

[0061] For example, according to the definition and calculation method of the secondary evaluation indicator defect frequency, the value of the secondary evaluation indicator defect frequency is obtained, as shown in formula (1).

[0062] Defect frequency = number of defects / observation period (1)

[0063] For the noun-type secondary evaluation indicators of fault type and defect type, the respective values ​​of the secondary evaluation indicators of defect frequency, fault type and defect type can be obtained according to the quantitative formulas (2) and (3).

[0064] Fault type = number of occurrences of this type of fault / total number of equipment faults (2)

[0065] Defect type = number of occurrences of this type of defect / total number of equipment defects (3)

[0066] The values ​​of the secondary evaluation indicators can be standardized to the maximum and minimum values ​​to obtain the standardized values ​​of the secondary evaluation indicators.

[0067] For any first-level evaluation indicator, the score of the first-level evaluation indicator can be obtained according to the standardized values ​​of multiple second-level evaluation indicators corresponding to the first-level evaluation indicator and the weights corresponding to each of the multiple second-level evaluation indicators.

[0068] Exemplarily, the second-level evaluation indicators corresponding to the first-level evaluation indicator equipment failure are fault frequency, fault repair time and fault type, and the corresponding weights of the fault frequency, fault repair time and fault type are 4, 3, and 3 respectively. The score of the equipment failure can be obtained based on the standardized values ​​of the second-level evaluation indicators corresponding to the first-level evaluation indicator equipment failure, namely, fault frequency, fault repair time and fault type, and the weights corresponding to the above multiple second-level evaluation indicators.

[0069] Equipment failure score = (4 × normalized value of failure frequency) + (3 × normalized value of failure repair time) + (3 × normalized value of failure type) (4)

[0070] Step S204, obtaining a comprehensive score of the equipment quality of the power supplier according to the scores of each first-level evaluation indicator and the weights corresponding to each first-level evaluation indicator.

[0071] The scores of each first-level evaluation index and the weights corresponding to each first-level evaluation index may be multiplied to obtain the multiplied values ​​corresponding to each first-level evaluation index; the multiplied values ​​corresponding to each first-level evaluation index may be added together to serve as the comprehensive score of the equipment quality of the power supplier.

[0072] For example, the first-level evaluation indicators of the equipment quality of the power supplier include equipment failure, equipment defect, equipment accident event, equipment life and equipment cost. The weights of equipment failure, equipment defect, equipment accident event, equipment life and equipment cost are 2, 1, 2, 2 and 3 respectively. Then, the comprehensive score of the equipment quality of the power supplier can be obtained according to formula (5).

[0073] The comprehensive score of the power supplier's equipment quality = (2 × equipment failure score) + (1 × equipment defect score) + (2 × equipment accident score) + (2 × equipment life score) + (3 × equipment cost score) (5)

[0074] Step S205, obtaining the equipment quality portrait of the power supplier according to the scores and comprehensive scores of each first-level evaluation indicator.

[0075] The scores and comprehensive scores of each primary evaluation index of the power supplier's equipment quality can be presented in the form of a multi-dimensional radar chart, as shown in the following figure: Figure 4 The equipment quality portrait of the power supplier shown in Figure 2. It should be noted that the higher the score of the first-level evaluation indicator, the more attention should be paid to the first-level evaluation indicator.

[0076] The target equipment data of various power equipment of the power supplier can be integrated to obtain the scores of the first-level evaluation indicators, and the weighted average of the scores of the first-level evaluation indicators can be used to obtain the comprehensive score of the power supplier; based on the comprehensive score of the power supplier, the following can be obtained: Figure 5 The equipment quality ranking of suppliers is shown. Please note that the higher the score, the more points will be deducted, and the lower the evaluation of the supplier.

[0077] In the above-mentioned method for obtaining the equipment quality portrait of the power supplier, according to the business meaning of the target equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping stages, combined with expert experience and knowledge information, several first-level evaluation indicators and multiple second-level evaluation indicators corresponding to the first-level evaluation indicators are determined; according to the several first-level evaluation indicators and multiple second-level evaluation indicators corresponding to the first-level evaluation indicators, a comprehensive score of the equipment quality of the power supplier is obtained to obtain the equipment quality portrait of the power supplier; when obtaining the first-level evaluation indicators and the second-level evaluation indicators, comprehensive and systematic information on the entire life cycle of the power equipment is taken into account, covering dynamic and static evaluation indicators, thereby realizing a multi-dimensional evaluation of the quality of the power equipment, thereby improving the accuracy of the equipment quality portrait of the power supplier.

[0078] In one of the embodiments, target equipment data of power suppliers' power equipment in each stage of planning and design, material procurement, project construction, operation and maintenance, and decommissioning are obtained, and the specific steps are as follows: the data format of the initial equipment data of the power suppliers' power equipment in each stage of planning and design, material procurement, project construction, operation and maintenance, and decommissioning is standardized to obtain standardized equipment data; according to the regular significance of the standardized equipment data, a first category of standardized equipment data and a second category of standardized equipment data are determined; the first category of standardized equipment data is read, or logical judgment and calculation are performed on the first category of standardized equipment data to obtain target equipment data; data mining is performed on the second category of standardized equipment data to obtain target equipment data.

[0079] The initial equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages are standardized to obtain standardized equipment data. The specific steps for data format standardization are as follows:

[0080] For the data field names in the initial device data, define clear and unique field names for each data item. The field names should be in Chinese or English or a combination of Chinese and English, and avoid using special characters and spaces. For the data types in the initial device data, select appropriate data types according to the actual meaning of the data items, such as integers (INT), floating point numbers (FLOAT / DOUBLE), strings (VARCHAR), dates (DATE / DATETIME), etc. For data that requires a specific format (such as date, time), the format standard should be clearly specified. For the data length in the initial device data, for string type data, the maximum length should be specified to avoid data overflow or inconsistency. For other types of data, such as integers or floating point numbers, the precision and range should be determined according to actual needs. For the text encoding format in the initial device data, UTF-8 or other compatible encoding methods should be uniformly used to ensure the correct parsing and display of text data. For special characters or internationalized data, special attention should be paid to the compatibility of the encoding method.

[0081] Standardized equipment data with high regularity significance can be identified as Class I standardized equipment data; standardized equipment data with high irregularity significance can be called standardized equipment data with low regularity significance; standardized equipment data with low regularity significance can be identified as Class II standardized equipment data. For example, if the standardized equipment data used to describe the static or basic properties of power equipment has high regularity significance, then the standardized equipment data is identified as Class I standardized equipment data.

[0082] A type of standardized equipment data can be read, or a type of standardized equipment data can be logically judged and calculated to obtain the target equipment data. For example, a type of standardized equipment data used to describe the static or basic attributes of power equipment, such as the type and production year of power equipment, belongs to a type of standardized equipment data of the direct mapping type, and a type of standardized equipment data can be read as the target equipment data. For a type of standardized equipment data that reflects the operating status and performance of power equipment, it is necessary to perform logical judgment and calculation on the type of standardized equipment data, such as defect statistics and failure rate calculation based on equipment accident event counts.

[0083] The data of the second type of standardized equipment can be mined according to the data mining algorithm to obtain the target equipment data. The data mining algorithm may include the following: intelligent classification algorithm, cluster mining algorithm, association analysis algorithm, regression prediction algorithm and text mining algorithm.

[0084] In this embodiment, the initial equipment data of the power supplier's power equipment in each stage of planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping is standardized in data format and classified into first-class standardized equipment data and second-class standardized equipment data; based on the first-class standardized equipment data and the second-class standardized equipment data, the target equipment data is obtained.

[0085] In one of the embodiments, a number of first-level evaluation indicators and a number of second-level evaluation indicators corresponding to the first-level evaluation indicators are determined based on the business meaning of the target device data in combination with expert experience and knowledge information. The specific steps are as follows: through the business meaning of the target device data in combination with expert experience and knowledge information, the device status evaluation dimension corresponding to the target device data is determined; based on the device status evaluation dimension corresponding to the target device data, a number of first-level evaluation indicators and a number of second-level evaluation indicators corresponding to the first-level evaluation indicators are determined.

[0086] The equipment status evaluation dimension corresponding to the target equipment data can be determined based on the business meaning of the target equipment data and the expert experience and knowledge information in the power grid field. The first-level evaluation index can be obtained based on the target equipment data with a high equipment status evaluation dimension, and the second-level evaluation index can be obtained based on the target equipment data with a low equipment status evaluation dimension; the second-level evaluation index for evaluating the status of a certain type of equipment can be used as the second-level evaluation index corresponding to the first-level evaluation index of the status of this type of equipment. For example, the second-level evaluation index for evaluating the equipment failure status can be used as the second-level evaluation index corresponding to the first-level evaluation index of the equipment failure status.

[0087] In this embodiment, the business meaning of the target equipment data is combined with expert experience and knowledge information to determine the equipment status evaluation dimension corresponding to the target equipment data, so as to determine a number of first-level evaluation indicators and multiple second-level evaluation indicators corresponding to the first-level evaluation indicators, thereby covering dynamic and static evaluation indicators, realizing a multi-dimensional evaluation of the quality of power equipment, and improving the accuracy of the equipment quality portrait of the power supplier.

[0088] In one of the embodiments, before obtaining the scores of each primary evaluation indicator based on the standardized values ​​of each secondary evaluation indicator and the corresponding weights of each secondary evaluation indicator, the method provided by the present application also includes: taking each type of secondary evaluation indicator as the target type secondary evaluation indicator in turn; wherein each type of secondary evaluation indicator includes secondary evaluation indicators corresponding to power equipment of multiple power suppliers; obtaining the maximum indicator value and the minimum indicator value among the target type secondary evaluation indicators; obtaining the range value based on the maximum indicator value and the minimum indicator value of the target type secondary evaluation indicators; obtaining the original difference based on the original indicator value and the minimum indicator value of any secondary evaluation indicator in the target type secondary evaluation indicators; and obtaining the standardized value of any secondary evaluation indicator based on the range value and the original difference.

[0089] This application can collect target equipment data of all power suppliers, so for the same secondary evaluation indicator, each power supplier's power equipment has a corresponding original indicator value. The original indicator values ​​of the secondary evaluation indicators corresponding to the power equipment of all power suppliers are called a type of secondary evaluation indicators.

[0090] The following takes the example of obtaining the standardized value of the j-th secondary evaluation indicator in the i-th category of secondary evaluation indicators to introduce the specific steps for obtaining the standardized value of any secondary evaluation indicator.

[0091] The i-th type of secondary evaluation index can be used as the target class secondary evaluation index; the maximum value among the original index values ​​of all target secondary evaluation indexes in the target class secondary evaluation index can be called the maximum index value; the minimum value among the original index values ​​of all target secondary evaluation indexes in the target class secondary evaluation index can be called the minimum index value; the maximum index value and the minimum index value of the target class secondary evaluation index can be subtracted to obtain the extreme difference value; the original index value and the minimum index value of the j-th secondary evaluation index in the target class secondary evaluation index can be subtracted to obtain the original difference value; the ratio of the extreme difference value to the original difference can be used as the standardized value of the j-th secondary evaluation index, as shown in formula (6).

[0092] Standardized value = original difference / range value

[0093] =Original index value - minimum index value / maximum index value - minimum index value (6)

[0094] In this embodiment, each type of secondary evaluation index is taken as the target type secondary evaluation index in turn; the extreme value is obtained according to the maximum index value and the minimum index value of the target type secondary evaluation index; the original difference is obtained according to the original index value and the minimum index value of any secondary evaluation index in the target type secondary evaluation index; the standardized value of any secondary evaluation index is obtained according to the extreme value and the original difference, so as to convert the original index value of any secondary evaluation index into a comparable numerical value.

[0095] In one of the embodiments, before obtaining the scores of each first-level evaluation indicator based on the standardized values ​​of each second-level evaluation indicator and the corresponding weights of each second-level evaluation indicator, the method provided by the present application also includes: presetting the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator according to the importance of the link in the equipment life cycle in which each first-level evaluation indicator and each second-level evaluation indicator are located; obtaining the weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator by several users; adjusting the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator according to the weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator, and obtaining the corresponding weights of each first-level evaluation indicator and each second-level evaluation indicator.

[0096] The importance of the links in the equipment life cycle can be determined based on the expert experience and knowledge information in the power grid field; the initial weight range of each first-level evaluation indicator and each second-level evaluation indicator can be preset according to the importance of the link in the equipment life cycle in which each first-level evaluation indicator and each second-level evaluation indicator are located; the higher the importance of the link in the equipment life cycle in which each first-level evaluation indicator and each second-level evaluation indicator are located, the greater the initial weight of each first-level evaluation indicator and each second-level evaluation indicator.

[0097] Several users may be experts in power equipment management, quality control and procurement. The experts in power equipment management, quality control and procurement may conduct multiple rounds of scoring on the importance of each first-level evaluation indicator and each second-level evaluation indicator, and perform weighted averaging based on the results of the multiple rounds of scoring to obtain a weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator.

[0098] According to the weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator, the initial weight range of each first-level evaluation indicator and each second-level evaluation indicator can be adjusted to obtain the corresponding weights of each first-level evaluation indicator and each second-level evaluation indicator. For example, in the first-level evaluation indicators, the corresponding weights of equipment failure, equipment defect, equipment accident event, equipment life, and equipment cost are 2, 1, 2, 2, and 3 respectively; in the second-level evaluation indicators, the corresponding weights of failure frequency, failure repair time, and failure type are 4, 3, and 3 respectively.

[0099] In this embodiment, the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator is preset according to the importance of the link of the equipment life cycle in which each first-level evaluation indicator and each second-level evaluation indicator are located; according to the weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator, the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator is adjusted to obtain the corresponding weights of each first-level evaluation indicator and each second-level evaluation indicator, and the weights can be allocated according to the importance of each first-level evaluation indicator and each second-level evaluation indicator.

[0100] In one of the embodiments, the score of each first-level evaluation indicator is obtained according to the standardized value of each second-level evaluation indicator and the weight corresponding to each second-level evaluation indicator. The specific steps are as follows: for any first-level evaluation indicator, multiple second-level evaluation indicators corresponding to any first-level evaluation indicator are used as the target second-level evaluation indicator; the standardized value of each target second-level evaluation indicator and the weight corresponding to each target second-level evaluation indicator are multiplied to obtain the multiplied value corresponding to each target second-level evaluation indicator; the multiplied values ​​corresponding to each target second-level evaluation indicator are added as the score of any first-level evaluation indicator.

[0101] The following takes obtaining the score of the kth first-level evaluation indicator as an example to introduce the specific steps of obtaining the scores of each first-level evaluation indicator.

[0102] For the kth first-level evaluation indicator, multiple second-level evaluation indicators corresponding to the kth first-level evaluation indicator are used as the target second-level evaluation indicators; the standardized values ​​of the second-level evaluation indicators of each target and the weights corresponding to each target second-level evaluation indicators are multiplied to obtain the multiplied values ​​corresponding to each target second-level evaluation indicator; the multiplied values ​​corresponding to each target second-level evaluation indicator are added together as the score of the kth first-level evaluation indicator.

[0103] In this embodiment, multiple second-level evaluation indicators corresponding to any first-level evaluation indicator are used as target second-level evaluation indicators; the standardized values ​​of each target second-level evaluation indicator and the weights corresponding to each target second-level evaluation indicator are multiplied to obtain the multiplied values ​​corresponding to each target second-level evaluation indicator; the multiplied values ​​corresponding to each target second-level evaluation indicator are added to obtain the score of any first-level evaluation indicator.

[0104] In order to better understand the above method, an application example of the method for obtaining the equipment quality portrait of the power supplier of the present application is described in detail below. Figure 6 shown.

[0105] Obtain equipment quality portraits of power suppliers, including three levels: data source, indicator definition and portrait, and display and application.

[0106] Among them, the data source covers the data of the entire life cycle of various power equipment in systems such as the power grid management platform, production and operation support system, and production command system, which is used to obtain target equipment data of various power equipment of power suppliers in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages.

[0107] The indicator definition and portrait level includes indicator mining, indicator definition system, multi-dimensional radar chart presentation, and comprehensive score of the equipment quality of power suppliers. According to the business meaning of the target equipment data, combined with expert experience and knowledge information, several first-level evaluation indicators and multiple second-level evaluation indicators corresponding to the first-level evaluation indicators can be mined to define the equipment quality evaluation indicator system of power suppliers; the scores of each first-level evaluation indicator are obtained according to the standardized values ​​of each second-level evaluation indicator and the weights corresponding to each second-level evaluation indicator; the comprehensive score of the quality of a single type of equipment of the power supplier is obtained according to the scores of each first-level evaluation indicator and the weights corresponding to each first-level evaluation indicator; the comprehensive score of the quality of a single type of equipment of the power supplier is weighted averaged to obtain the comprehensive score of the equipment quality of the power supplier; the scores and comprehensive scores of each first-level evaluation indicator of the equipment quality of the power supplier are presented in the form of a multi-dimensional radar chart.

[0108] The display and application layer displays the equipment quality portrait of the power supplier, serves the fields of statistical query, data mining, effectiveness evaluation and lean management, and realizes the intelligent adaptation and efficient application of related business scenarios of the equipment quality portrait evaluation of the power supplier.

[0109] In this embodiment, comprehensive and systematic information on the entire life cycle of power equipment is taken into account when obtaining the first-level evaluation indicators and the second-level evaluation indicators, covering dynamic and static evaluation indicators, thereby realizing a multi-dimensional evaluation of the quality of power equipment, thereby improving the accuracy of the equipment quality portrait of the power supplier.

[0110] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0111] Based on the same inventive concept, the embodiment of the present application also provides a device for acquiring equipment quality portraits of power suppliers for implementing the above-mentioned method for acquiring equipment quality portraits of power suppliers. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiments of the device for acquiring equipment quality portraits of one or more power suppliers provided below can be referred to the limitations of the method for acquiring equipment quality portraits of power suppliers above, and will not be repeated here.

[0112] In an exemplary embodiment, Figure 7 As shown, a device for obtaining equipment quality portrait of a power supplier is provided, wherein:

[0113] The target equipment data acquisition module 701 is used to acquire the target equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages;

[0114] An evaluation index acquisition module 702 is used to determine a plurality of first-level evaluation indexes and a plurality of second-level evaluation indexes corresponding to the first-level evaluation indexes according to the business meaning of the target device data and in combination with expert experience and knowledge information;

[0115] The comprehensive score acquisition module 703 is used to obtain the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators; and obtain the comprehensive score of the equipment quality of the power supplier according to the scores of the first-level evaluation indicators and the weights corresponding to the first-level evaluation indicators;

[0116] The equipment quality portrait acquisition module 704 is used to obtain the equipment quality portrait of the power supplier according to the scores of the first-level evaluation indicators and the comprehensive score.

[0117] In one of the embodiments, the target equipment data acquisition module 701 is also used to: perform data format standardization processing on the initial equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages to obtain standardized equipment data; determine a type of standardized equipment data and a type of standardized equipment data according to the regular significance of the standardized equipment data; read the type of standardized equipment data, or perform logical judgment and calculation on the type of standardized equipment data to obtain target equipment data; perform data mining on the type of standardized equipment data to obtain target equipment data.

[0118] In one of the embodiments, the evaluation index acquisition module 702 is also used to: determine the device status evaluation dimension corresponding to the target device data through the business meaning of the target device data combined with expert experience knowledge information; determine a number of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators based on the device status evaluation dimension corresponding to the target device data.

[0119] In one embodiment, the device also includes a standardized value acquisition module, which is used to: take each type of secondary evaluation index as a target type secondary evaluation index in turn; wherein each type of secondary evaluation index includes secondary evaluation indicators corresponding to power equipment of multiple power suppliers; obtain the maximum index value and the minimum index value in the target type secondary evaluation index; obtain the range value according to the maximum index value and the minimum index value of the target type secondary evaluation index; obtain the original difference according to the original index value and the minimum index value of any secondary evaluation index in the target type secondary evaluation index; obtain the standardized value of any secondary evaluation index according to the range value and the original difference.

[0120] In one embodiment, the device also includes a weight acquisition module, which is used to: preset a preliminary weight range for each first-level evaluation indicator and each second-level evaluation indicator according to the importance of the link in the equipment life cycle in which each first-level evaluation indicator and each second-level evaluation indicator are located; obtain a weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator by several users; adjust the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator according to the weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator, and obtain the corresponding weights of each first-level evaluation indicator and each second-level evaluation indicator.

[0121] In one embodiment, the comprehensive score acquisition module 703 is also used to: for any first-level evaluation indicator, use multiple second-level evaluation indicators corresponding to any first-level evaluation indicator as target second-level evaluation indicators; multiply the standardized values ​​of each target second-level evaluation indicator and the weights corresponding to each target second-level evaluation indicator to obtain the multiplied values ​​corresponding to each target second-level evaluation indicator; add the multiplied values ​​corresponding to each target second-level evaluation indicator as the score of any first-level evaluation indicator.

[0122] Each module in the above-mentioned device for acquiring equipment quality portrait of power supplier can be implemented in whole or in part by software, hardware and their combination. Each module can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0123] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data of an embodiment of a method for acquiring a quality portrait of an electric power supplier. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for acquiring a quality portrait of an electric power supplier is implemented.

[0124] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0125] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0126] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0127] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0128] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0129] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0130] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0131] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for obtaining a quality portrait of equipment of a power supplier, characterized in that: The method comprises: Obtain target equipment data of power suppliers' power equipment at various stages of planning and design, material procurement, project construction, operation and maintenance, and decommissioning; According to the business meaning of the target device data and in combination with expert experience and knowledge information, a number of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators are determined; Obtaining the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators; Obtaining a comprehensive score of the equipment quality of the power supplier according to the scores of each first-level evaluation indicator and the weights corresponding to each first-level evaluation indicator; Based on the scores of each first-level evaluation indicator and the comprehensive score, an equipment quality portrait of the power supplier is obtained.

2. The method according to claim 1, characterized in that The target equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning and scrapping stages are obtained, including: Standardize the data format of the initial equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages to obtain standardized equipment data; Determining first-category standardized equipment data and second-category standardized equipment data according to the regularity significance of the standardized equipment data; Reading the standardized device data of the type, or performing logical judgment and calculation on the standardized device data of the type, to obtain target device data; Data mining is performed on the two types of standardized equipment data to obtain target equipment data.

3. The method according to claim 1, characterized in that The step of determining a plurality of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators based on the business meaning of the target device data and in combination with expert experience and knowledge information includes: Determine the device status evaluation dimension corresponding to the target device data by combining the business meaning of the target device data with expert experience and knowledge information; According to the device status evaluation dimension corresponding to the target device data, a plurality of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators are determined.

4. The method according to claim 1, characterized in that: Before obtaining the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators, the method further includes: Each type of secondary evaluation index is used as a target type secondary evaluation index in turn; wherein each type of secondary evaluation index includes secondary evaluation indicators corresponding to power equipment of multiple power suppliers; Obtain the maximum and minimum values ​​of the secondary evaluation indicators of the target class; According to the maximum index value and the minimum index value of the secondary evaluation index of the target class, the range value is obtained; Obtaining an original difference value according to the original index value of any secondary evaluation index of the target class secondary evaluation index and the minimum index value; According to the extreme value and the original difference, a standardized value of any secondary evaluation index is obtained.

5. The method according to claim 1, characterized in that Before obtaining the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators, the method further includes: According to the importance of the link of the equipment life cycle in which each first-level evaluation indicator and each second-level evaluation indicator are located, the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator is preset; Obtaining a weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator from a number of users; According to the weighted average score of the importance of each first-level evaluation indicator and each second-level evaluation indicator, the preliminary weight range of each first-level evaluation indicator and each second-level evaluation indicator is adjusted to obtain the corresponding weight of each first-level evaluation indicator and each second-level evaluation indicator.

6. The method according to claim 1, characterized in that The scores of the first-level evaluation indicators are obtained according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators, including: For any first-level evaluation indicator, multiple second-level evaluation indicators corresponding to any first-level evaluation indicator are used as target second-level evaluation indicators; Multiply the standardized value of each target secondary evaluation indicator and the weight corresponding to each target secondary evaluation indicator to obtain the multiplied value corresponding to each target secondary evaluation indicator; The multiplied values ​​corresponding to each target secondary evaluation index are added together as the score of any of the primary evaluation indicators.

7. A device for obtaining equipment quality portrait of a power supplier, characterized in that: The device comprises: The target equipment data acquisition module is used to obtain the target equipment data of the power supplier's power equipment in the planning and design, material procurement, project construction, operation and maintenance, and decommissioning stages; An evaluation index acquisition module, used to determine a number of first-level evaluation indicators and a plurality of second-level evaluation indicators corresponding to the first-level evaluation indicators according to the business meaning of the target device data and in combination with expert experience and knowledge information; A comprehensive score acquisition module, used to obtain the scores of the first-level evaluation indicators according to the standardized values ​​of the second-level evaluation indicators and the weights corresponding to the second-level evaluation indicators; and to obtain the comprehensive score of the equipment quality of the power supplier according to the scores of the first-level evaluation indicators and the weights corresponding to the first-level evaluation indicators; The equipment quality portrait acquisition module is used to obtain the equipment quality portrait of the power supplier based on the scores of the first-level evaluation indicators and the comprehensive score.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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