Life cycle quality assessment methods, systems, equipment and media for power equipment

Abstract

The present invention provides a method, system, device, and medium for evaluating the quality of electric power equipment throughout its life cycle. The method comprises the following steps: collecting original quality data of the electric power equipment throughout its life cycle; standardizing the original quality data throughout its life cycle according to preset data collection rules to obtain standard quality data throughout its life cycle; adaptively screening the standard quality data throughout its life cycle to obtain effective quality data throughout its life cycle; performing quality scoring on the effective quality data throughout its life cycle by stage according to the quality control characteristics of the electric power equipment to obtain a quality score for the entire life cycle stage; adaptively obtaining the indicator scoring weights for the quality score of the entire life cycle stage, and performing weighted summation on the quality score of the entire life cycle stage according to the indicator scoring weights to obtain a quality score of the electric power equipment and a corresponding quality grade. The present invention enables targeted, comprehensive, and intelligent evaluation of the quality of electric power equipment, effectively improving the reliability and accuracy of quality evaluation.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment quality assessment, and in particular to a full life cycle quality assessment method, system, computer equipment and storage medium for power equipment. Background Art

[0002] In recent years, industrial big data has been used for data mining and application in multiple scenarios such as the power equipment manufacturing industry. Many companies have carried out data collection on power equipment during the factory test phase and installation and operation phase based on the industrial Internet and big data technologies. Through the Internet of Things technology, the test results of power equipment during the factory test phase and the monitoring data during the operation phase are collected and aggregated to monitor the quality status of power equipment.

[0003] However, existing power equipment companies all use their own internal quality evaluation standards to analyze and calculate test product and equipment data, and customize different data processing processes and quality evaluation models according to the business needs of each company. As a result, the evaluation standards for the same power equipment are not unified, the evaluation standards vary greatly, there is a lack of quantifiable data evaluation rules, data traceability is difficult, and the accuracy is low; in addition, there is a lack of targeted quantitative evaluation standards for the quality level of key power equipment, as well as a lack of objective and comprehensive evaluation of the quality of power equipment manufacturers throughout their life cycle in terms of credit qualifications, production level, quality control level, testing level, and defect control level.

[0004] Therefore, there is an urgent need to provide a targeted intelligent assessment method for power equipment quality based on the entire life cycle. Summary of the Invention

[0005] The purpose of the present invention is to provide a full life cycle quality assessment method for power equipment. By collecting and analyzing the full life cycle quality data of the power equipment's raw material inspection process, production process and inspection process, factory test process, and installation and operation process, an intelligent rating model for the full life cycle quality of power equipment is established to solve the application defects of existing power equipment quality evaluation standards such as inconsistency and incomplete and objective evaluation system, so as to achieve targeted, comprehensive and intelligent evaluation of the power equipment quality, and effectively improve the reliability and accuracy of quality assessment.

[0006] In order to achieve the above objectives, it is necessary to provide a full life cycle quality assessment method and system for power equipment in response to the above technical problems.

[0007] In a first aspect, an embodiment of the present invention provides a method for evaluating the quality of power equipment throughout its life cycle, the method comprising the following steps:

[0008] Collect original quality data of power equipment throughout its life cycle; the original quality data includes raw material inspection data, production process and inspection data, factory test data, and installation and operation data;

[0009] Standardize the original quality data of the entire life cycle according to the preset data collection rules to obtain standard quality data of the entire life cycle;

[0010] Adaptively screening the full life cycle standard quality data to obtain full life cycle effective quality data;

[0011] According to the quality control characteristics of power equipment, the effective quality data of the entire life cycle is scored by stage to obtain the quality score of the entire life cycle stage; the quality score of the entire life cycle stage includes the quality score of raw material inspection, the quality score of production process and inspection, the quality score of factory test and the quality score of installation and operation;

[0012] Adaptively obtain the indicator score weights of the quality scores of each full life cycle stage, and perform weighted summation of the quality scores of the full life cycle stages according to the indicator score weights to obtain the power equipment quality score and the corresponding quality grade.

[0013] Furthermore, the step of standardizing the original quality data of the entire life cycle according to preset data collection rules to obtain standard quality data of the entire life cycle includes:

[0014] According to the preset data collection rules, each full life cycle original quality data is standardized and normalized in turn to obtain the corresponding full life cycle standard quality data.

[0015] Furthermore, the step of adaptively screening the full life cycle standard quality data to obtain full life cycle effective quality data includes:

[0016] According to the preset initial screening range and the standard quality data of the whole life cycle, the proportion of stage exceeding limit data is obtained;

[0017] According to the model probability of normal distribution, the stage data distribution alarm index is obtained;

[0018] According to the stage over-limit data ratio and the corresponding stage data distribution alarm index, the preset initial screening range is adjusted to obtain the corresponding stage data screening range;

[0019] According to the stage data screening range, the full life cycle standard quality data is screened to obtain corresponding full life cycle effective quality data.

[0020] Furthermore, the step of obtaining the stage data distribution alarm index according to the model probability of the normal distribution includes:

[0021] Based on the historical effective standard quality data of the entire life cycle of the power equipment, the standard deviation and expected quality data of the stage are obtained;

[0022] According to the stage quality data standard deviation and the corresponding stage quality data expectation, the corresponding stage one standard deviation fluctuation range probability, stage two standard deviation fluctuation range probability and stage three standard deviation fluctuation range probability are obtained respectively;

[0023] According to the probability of the fluctuation range of one standard deviation in the stage, the probability of the fluctuation range of two standard deviations in the stage, and the probability of the fluctuation range of three standard deviations in the stage, the corresponding stage data distribution alarm index is obtained; the stage data distribution alarm index is expressed as:

[0024]

[0025] Among them, a i 、b i and c i They represent the probability of fluctuation within the range of one standard deviation, the probability of fluctuation within the range of two standard deviations, and the probability of fluctuation within the range of three standard deviations corresponding to the i-th stage in the whole life cycle respectively; A i Indicates the stage data distribution alarm index corresponding to stage i in the entire life cycle.

[0026] Furthermore, the step of adjusting the preset initial screening range according to the stage over-limit data ratio and the corresponding stage data distribution alarm index to obtain the corresponding stage data screening range includes:

[0027] Determine whether the stage-specific excess data ratio is 0. If so, continue to use the preset initial screening range as the stage-specific data screening range. Otherwise, determine the corresponding first range threshold and second range threshold based on the probability of three times the standard deviation fluctuation range in each stage.

[0028] If the proportion of over-limit data in the stage is less than the first range threshold, the upper limit value of the initial screening range is multiplied by the stage data distribution alarm index to obtain the upper limit value of the corresponding stage data screening range, and the lower limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the lower limit value of the corresponding stage data screening range;

[0029] If the proportion of data exceeding the limit in the stage is greater than or equal to the first range threshold and less than the second range threshold, the upper limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the upper limit value of the data screening range of the corresponding stage, and the lower limit value of the initial screening range is still used as the lower limit value of the data screening range of the corresponding stage;

[0030] If the proportion of out-of-limit data in the stage is greater than or equal to the second range threshold, the upper limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the upper limit value of the corresponding stage data screening range, and the lower limit value of the initial screening range is multiplied by the stage data distribution alarm index to obtain the lower limit value of the corresponding stage data screening range.

[0031] Furthermore, the step of performing quality scoring on the effective quality data of the entire life cycle by stage according to the quality control characteristics of the power equipment to obtain the quality score of the entire life cycle stage includes:

[0032] Determine the quality scoring standards for each stage based on the quality control characteristics and supervision standards of the power equipment;

[0033] According to the quality scoring standards for each stage, the effective quality data of the entire life cycle is scored at a stage to obtain the corresponding quality score of the entire life cycle stage.

[0034] Furthermore, the step of adaptively obtaining the indicator scoring weights of the quality scoring of each full life cycle stage includes:

[0035] Obtain historical quality deduction data for the entire life cycle of power equipment; the historical quality deduction data for the entire life cycle includes several historical raw material inspection deduction data, several production process and inspection deduction data, several factory test deduction data, and several installation and operation deduction data;

[0036] Accumulate the quality deduction data of the historical full life cycle stage according to each stage to obtain the stage cumulative deduction data, and according to the supervision requirements, perform weighted summation of the quality deduction data of the historical full life cycle stage according to the time sequence to obtain the stage deduction time sequence weight index;

[0037] Determine the corresponding indicator weight score based on the accumulated deduction data of each stage and the corresponding stage deduction time series weight index;

[0038] According to the weight score of each indicator, calculate the corresponding indicator weight index;

[0039] According to the indicator weight index, the initial indicator scoring weight corresponding to the initial full life cycle stage quality score is updated to obtain the corresponding indicator scoring weight; the indicator scoring weight is expressed as:

[0040]

[0041] Where,

[0042] u i =F i (N i *e i )

[0043]

[0044] Among them, w i and They represent the initial indicator scoring weight and the updated indicator scoring weight respectively; u i (i=1,2,3,4) represents the indicator weight index of the i-th stage in the whole life cycle; G is the sum of the indicator weight index of the whole life cycle; F i 、N i and e i Represents the indicator weight score, number of historical data and full score of the i-th stage in the entire life cycle.

[0045] In a second aspect, an embodiment of the present invention provides a full life cycle quality assessment system for power equipment, the system comprising:

[0046] A data acquisition module is used to collect original quality data of the power equipment throughout its life cycle; the original quality data of the entire life cycle includes raw material inspection data, production process and inspection data, factory test data, and installation and operation data;

[0047] A data processing module is used to standardize the original quality data of the entire life cycle according to preset data collection rules to obtain standard quality data of the entire life cycle;

[0048] A data screening module is used to adaptively screen the full life cycle standard quality data to obtain full life cycle effective quality data;

[0049] A stage scoring module is used to score the effective quality data of the entire life cycle by stage according to the quality control characteristics of power equipment, thereby obtaining a stage quality score for the entire life cycle; the stage quality score for the entire life cycle includes the quality score of raw material inspection, the quality score of production process and inspection, the quality score of factory test, and the quality score of installation and operation;

[0050] The comprehensive scoring module is used to adaptively obtain the indicator scoring weights of the quality scores of each full life cycle stage, and perform weighted summation of the quality scores of the full life cycle stages according to the indicator scoring weights to obtain the power equipment quality score and the corresponding quality grade.

[0051] In a third aspect, an embodiment of the present invention further provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0052] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

[0053] The above-mentioned application provides a method and system for the full life cycle quality assessment of electric power equipment. Through the method, the original quality data of the full life cycle of the electric power equipment is collected, the original quality data of the full life cycle is standardized according to the preset data collection rules to obtain the standard quality data of the full life cycle, and the standard quality data of the full life cycle is adaptively screened to obtain the effective quality data of the full life cycle. After that, the effective quality data of the full life cycle is scored by stage according to the quality control characteristics of the electric power equipment to obtain the quality score of the full life cycle stage, and the indicator scoring weight of the quality score of the full life cycle stage is adaptively obtained. The quality score of the full life cycle stage is weighted and summed according to the indicator scoring weight to obtain the quality score of the electric power equipment and the corresponding quality grade. Compared with the existing technology, the method for the full life cycle quality assessment of electric power equipment solves the application defects of the existing electric power equipment quality evaluation standards, such as the incomplete and objective evaluation system, and realizes targeted comprehensive intelligent evaluation of the quality of electric power equipment, effectively improving the reliability and accuracy of quality assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 Schematic diagram of an application scenario of a method for evaluating the quality of power equipment throughout its life cycle according to an embodiment of the present invention;

[0055] Figure 2 1 is a flow chart of a method for evaluating the quality of power equipment throughout its life cycle according to an embodiment of the present invention;

[0056] Figure 3 1 is a flow chart of adaptively screening full life cycle standard quality data in an embodiment of the present invention;

[0057] Figure 4 1 is a flow chart of adaptively obtaining the indicator scoring weights for quality scoring at each full life cycle stage in an embodiment of the present invention;

[0058] Figure 5 Schematic diagram of the structure of the full life cycle quality assessment system for power equipment in an embodiment of the present invention;

[0059] Figure 6 1 is a diagram showing the internal structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0060] In order to make the purpose, technical solutions and beneficial effects of this application more clear, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. Obviously, the embodiments described below are part of the embodiments of the present invention and are only used to illustrate the present invention, but are not used to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0061] The full life cycle quality assessment method of power equipment provided by the present invention can be applied to Figure 1 The terminal and server shown. Among them, the terminal can be but not limited to various personal computers, laptops, smart phones, tablet computers and portable wearable devices, and the server can be implemented as an independent server or a server cluster composed of multiple servers. The server can use the full life cycle quality assessment method of the present invention to conduct a full life cycle quality assessment on various power equipment based on the full life cycle original quality data obtained through high-frequency data acquisition terminals installed on detection equipment, production equipment, test equipment and monitoring equipment, and use the obtained power equipment quality score and corresponding quality grade for subsequent research use by the server or send it to the terminal for viewing and analysis by the terminal user. The following embodiments will explain in detail the full life cycle quality assessment method of power equipment of the present invention.

[0062] In one embodiment, Figure 2 As shown, a method for evaluating the quality of power equipment throughout its life cycle is provided, comprising the following steps:

[0063] S11. Collecting original quality data of the entire life cycle of the power equipment; the original quality data of the entire life cycle includes raw material inspection data, production process and inspection data, factory test data, and installation and operation data. The specific content of the corresponding raw material inspection data, production process and inspection data, factory test data, and installation and operation data can be set according to actual analysis requirements and is not specifically limited here;

[0064] Among them, the collection of original quality data throughout the life cycle is a process in which high-frequency data acquisition terminals are installed on relevant test equipment or detection equipment to obtain corresponding quality data in real time for all-round marking and supervision coding, and the data is connected in series in the order of the life cycle based on the supervision coding. When the test equipment or detection equipment generates signal data or analog signal data during operation, the high-frequency data acquisition terminal connected thereto can directly obtain the real-time data signal through the communication interface, and convert it into the corresponding data signal, thereby obtaining the original quality data of each stage of the life cycle; it should be noted that the high-frequency data acquisition terminal used in this embodiment can be understood as an intelligent data acquisition device that can establish a data interaction channel with the supervision equipment detection device to realize the issuance of detection tasks and the collection of detection data and reports, and supports communication methods such as Ethernet or RS485. There is no restriction on specific products and models;

[0065] S12. Standardize the raw quality data of the entire life cycle according to preset data collection rules to obtain standard quality data of the entire life cycle; wherein the raw material inspection data, production process and inspection data, factory test data, and installation and operation data in the raw quality data of the entire life cycle are all data signals with time series characteristics. It is necessary to select useful data for quality assessment according to the unified supervision standards corresponding to each stage and perform standardization processing such as corresponding format conversion and unit unification to obtain the corresponding standard quality data of the entire life cycle;

[0066] Specifically, the step of standardizing the original quality data of the entire life cycle according to preset data collection rules to obtain standard quality data of the entire life cycle includes:

[0067] According to the preset data collection rules, each full life cycle original quality data is standardized and normalized in turn to obtain the corresponding full life cycle standard quality data; among them, the preset data collection rules take the quality data of the factory test stage as an example, which can be understood as the data collection model with limited data structure, data unit and data size as shown in Table 1. By normalizing the data signal and converting it into data signals of different specifications, each collected data is converted and processed according to the standard to ensure the consistency of the unit, the data standard is unified, and the subsequent comprehensive quality assessment is facilitated.

[0068] Table 1 Data collection model for factory test phase

[0069]

[0070] S13. Adaptively screen the full life cycle standard quality data to obtain full life cycle effective quality data; wherein, adaptive screening can be understood as first adaptively determining the normal effective range of the corresponding stage data based on the standard quality data collected at each stage in the historical full life cycle, and then performing validity screening on the currently obtained full life cycle standard quality data based on the corresponding normal effective range, eliminating data that exceeds the normal effective range (which may be an erroneous data signal), and implementing screening and filtering of each collected data according to the standard range; specifically, Figure 3 As shown, the step of adaptively screening the full life cycle standard quality data to obtain full life cycle effective quality data includes:

[0071] According to the preset initial screening range and the full life cycle standard quality data, the stage over-limit data ratio is obtained; wherein, the stage over-limit data ratio includes the raw material stage over-limit data ratio, the production stage over-limit data ratio, the factory stage over-limit data ratio and the installation and operation stage over-limit data ratio. The corresponding preset initial screening range can be determined according to actual application requirements to calculate the numerical range of the data over-limit ratio of each stage in the full life cycle. If it is the first time to perform adaptive screening, it can be set to a range that can include all current data, or a corresponding range can be selected based on experience; according to the determined preset initial screening range, the over-limit data statistics of the full life cycle standard quality data can be performed separately by stage to obtain the corresponding over-limit data ratio;

[0072] According to the model probability of the normal distribution, the stage data distribution alarm index is obtained; wherein, the stage data distribution alarm index includes the raw material stage data distribution alarm index, the production stage data distribution alarm index, the factory stage data distribution alarm index and the installation and operation stage data distribution alarm index. The corresponding stage data distribution alarm index is mainly established based on the standard deviation distribution of the valid data. Considering that the distribution probability of the first interval (1 times the standard deviation fluctuation range near the expected value) of the normal distribution model is 0.6826, the distribution probability of the second interval (2 times the standard deviation fluctuation range near the expected value) is 0.9544, and the distribution probability of the third interval (3 times the standard deviation fluctuation range near the expected value) is 0.9973, if the calculated probability of the first interval of the data in each stage is less than the first interval distribution probability of the normal distribution, it indicates that the data is not concentrated. If the difference between the calculated probability of the second interval and the third interval of the data in each stage is greater than the probability difference of the normal distribution, it indicates that the data is heavily marginalized and the range needs to be adjusted. In this embodiment, preferably, the value standard of the data distribution alarm index in each stage is determined accordingly;

[0073] Specifically, the step of obtaining the stage data distribution alarm index according to the normal distribution model probability includes:

[0074] Based on the historical effective standard quality data of the power equipment throughout its life cycle, the standard deviation and expected quality data of each stage are obtained. The standard deviation σ and expected quality data of each stage can be understood as the standard deviation and expected quality data of each stage in the life cycle, respectively.

[0075] According to the stage quality data standard deviation and the corresponding stage quality data expectation, the corresponding stage one standard deviation fluctuation range probability, stage two standard deviation fluctuation range probability and stage three standard deviation fluctuation range probability are obtained respectively;

[0076] According to the probability of the fluctuation range of one standard deviation in the stage, the probability of the fluctuation range of two standard deviations in the stage, and the probability of the fluctuation range of three standard deviations in the stage, the corresponding stage data distribution alarm index is obtained; the stage data distribution alarm index is expressed as:

[0077]

[0078] Among them, a i 、b i and c i They represent the probability of the fluctuation range of one standard deviation (μ±1σ), the probability of the fluctuation range of two standard deviations (μ±2σ), and the probability of the fluctuation range of three standard deviations (μ±3σ) corresponding to the i-th stage in the whole life cycle respectively; A i Represents the stage data distribution alarm index corresponding to stage i in the entire life cycle. It should be noted that 0.68 in this formula is taken from the distribution probability of the first interval of the normal distribution, and 4.5% is taken from the difference between the distribution probability of the third interval and the distribution probability of the second interval of the normal distribution;

[0079] According to the stage over-limit data ratio and the corresponding stage data distribution alarm index, the preset initial screening range is adjusted to obtain the corresponding stage data screening range, specifically including:

[0080] Determine whether the stage-exceeding data ratio is 0. If so, continue to use the preset initial screening range as the stage data screening range. Otherwise, determine the corresponding first range threshold and second range threshold based on the probability of three times the standard deviation fluctuation range of each stage; wherein the first range threshold and the second range threshold are respectively expressed as:

[0081] 1-c i / l i and 1-c i / k i , and l i >k i ;

[0082] It should be noted that l iand k i It can be adjusted according to actual needs, such as setting it to l based on experience i =100 and k i =10, no specific limitation is given here;

[0083] If the proportion of over-limit data in the stage is less than the first range threshold, the upper limit value of the initial screening range is multiplied by the stage data distribution alarm index to obtain the upper limit value of the corresponding stage data screening range, and the lower limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the lower limit value of the corresponding stage data screening range;

[0084] If the proportion of data exceeding the limit in the stage is greater than or equal to the first range threshold and less than the second range threshold, the upper limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the upper limit value of the data screening range of the corresponding stage, and the lower limit value of the initial screening range is still used as the lower limit value of the data screening range of the corresponding stage;

[0085] If the proportion of data exceeding the limit in the stage is greater than or equal to the second range threshold, the upper limit value of the data screening range of the corresponding stage is obtained by dividing the upper limit value of the initial screening range by the stage data distribution alarm index, and the lower limit value of the data screening range of the corresponding stage is obtained by multiplying the lower limit value of the initial screening range by the stage data distribution alarm index;

[0086] According to the stage data screening range, the full life cycle standard quality data is screened to obtain the corresponding full life cycle effective quality data;

[0087] Among them, the stage data screening range can be understood as the interval range given in the "Standard" column in Table 2. Here, only the quality data analysis of the factory test stage is used as an example to explain. The situations of other stages can be given similarly and are not described here. This embodiment realizes the dynamic adjustment of the quality data screening model according to the actual distribution of the data by adaptively adjusting the stage data screening range. While completing the high-precision screening and processing of the standard quality data of the entire life cycle, it also realizes the effective alarm of the data exceeding the limit, so that the relevant quality problems can be analyzed and processed in a timely manner and effectively tracked.

[0088] Table 2 Quality data screening model for factory test stage

[0089]

[0090] S14. Based on the quality control characteristics of power equipment, the effective quality data of the entire life cycle is scored by stage to obtain a quality score of the entire life cycle stage; the quality score of the entire life cycle stage includes the quality score of raw material inspection, the quality score of production process and inspection, the quality score of factory test, and the quality score of installation and operation;

[0091] The step of performing quality scoring on the effective quality data of the entire life cycle by stage according to the quality control characteristics of the power equipment to obtain the quality score of the entire life cycle stage includes:

[0092] Based on the quality control characteristics and supervision standards of the power equipment, determine the quality scoring standards for each stage; wherein, the quality scoring standards for each stage can be set according to actual application requirements (such as national standards, enterprise standards, industry standards, group standards, procurement technical specifications, etc.). For example, the quality score for the factory test stage can be given according to the quality scoring standards shown in Table 3. The quality scoring standards for other stages can also be given similarly, and are not limited here;

[0093] Table 3 Quality scoring standard model for factory test stage

[0094]

[0095] According to the quality scoring standards for each stage, the effective quality data of the entire life cycle is scored at a stage to obtain the corresponding quality score of the entire life cycle stage.

[0096] S15, adaptively obtain the indicator score weights of the quality score of each full life cycle stage, and perform weighted summation of the quality score of the full life cycle stage according to the indicator score weights to obtain the power equipment quality score and the corresponding quality grade; wherein, adaptively obtaining the indicator score weights of the quality score of each stage in the full life cycle can be understood as a process of dynamically adjusting the corresponding weights of the current quality score of each stage according to the quality deduction data of each stage in the historical full life cycle; specifically, Figure 4 As shown, the steps of adaptively obtaining the indicator scoring weights of the quality scores of each full life cycle stage include:

[0097] Obtain historical quality deduction data for the entire life cycle of power equipment; the historical quality deduction data for the entire life cycle includes several historical raw material inspection deduction data, several production process and inspection deduction data, several factory test deduction data, and several installation and operation deduction data;

[0098] The historical quality deduction data of the entire life cycle are accumulated according to each stage to obtain the stage cumulative deduction data, and according to the supervision requirements, the historical quality deduction data of the entire life cycle are weighted and summed according to the time sequence to obtain the stage deduction time sequence weight index; wherein, the calculation process of the stage deduction time sequence weight index can be understood as the weighted summation of the historical deduction values ​​of each stage in the entire life cycle according to the time sequence, and the corresponding setting method of weighting the historical deduction items is as follows:

[0099]

[0100] Among them, T ij and L ij They represent the jth weighted historical deduction score of the i-th stage in the entire life cycle and the number of days from the current time; D represents the required supervision time limit (number of days).

[0101] The corresponding indicator weight score is determined based on the accumulated deduction data of each stage and the corresponding stage deduction time series weight index; the indicator weight score is expressed as:

[0102]

[0103] Where,

[0104]

[0105] Among them, F i 、S i and H i They represent the indicator weight score, the cumulative deduction data of the stage, and the time series weight index of the stage deduction in the entire life cycle respectively;

[0106] According to the weight score of each indicator, calculate the corresponding indicator weight index;

[0107] According to the indicator weight index, the initial indicator scoring weight corresponding to the initial full life cycle stage quality score is updated to obtain the corresponding indicator scoring weight; the indicator scoring weight is expressed as:

[0108]

[0109] Where,

[0110] u i =F i (N i *e i )

[0111]

[0112] Among them, w i and They represent the initial indicator scoring weight and the updated indicator scoring weight respectively; u i (i=1,2,3,4) represents the indicator weight index of the i-th stage in the whole life cycle; G is the sum of the indicator weight index of the whole life cycle; F i 、N i and e i Represents the indicator weight score, number of historical data and full score of the i-th stage in the entire life cycle.

[0113] After obtaining the indicator score weights corresponding to the raw material inspection quality score, production process and inspection quality score, factory test quality score, and installation and operation quality score throughout the entire life cycle through the above method steps, a weighted summation can be performed based on this weight to obtain the power equipment quality score based on a comprehensive evaluation of multiple stages. The power equipment quality score can then be converted into the corresponding quality grade based on the corresponding relationship between the quality score and the quality grade. It should be noted that the corresponding relationship between the quality score and the quality grade here can be pre-set according to actual application requirements and is not specifically limited here.

[0114] This embodiment provides a method for automatically adjusting the weights corresponding to the comprehensive quality score based on the historical quality score data at each stage of the entire life cycle. It can effectively solve the problem that the existing comprehensive score uses artificially set fixed weights for weighted summation, resulting in a certain degree of subjectivity in the final quality score and the inability to obtain the true quality score and corresponding quality grade of the power equipment.

[0115] The embodiment of the present application collects the original quality data of the entire life cycle of power equipment, standardizes the original quality data of the entire life cycle according to preset data collection rules, obtains standard quality data of the entire life cycle, and then adaptively screens the standard quality data of the entire life cycle to obtain effective quality data of the entire life cycle. After that, according to the quality control characteristics of the power equipment, the effective quality data of the entire life cycle is scored by stage to obtain the quality score of the entire life cycle stage, and the indicator scoring weight of the quality score of the entire life cycle stage is adaptively obtained. The weighted summation of the quality score of the entire life cycle stage is performed according to the indicator scoring weight to obtain the quality score of the power equipment and the corresponding quality grade. While solving the application defects of the existing power equipment quality evaluation standards such as inconsistent standards and incomplete and objective evaluation systems, it can complete the adaptive high-precision screening of the standard quality data of the entire life cycle, realize effective alarm for data exceeding the limit, and realize adaptive adjustment of the weights of historical quality score data of each stage, which not only realizes targeted comprehensive and intelligent evaluation of the quality of power equipment, but also effectively improves the reliability and accuracy of quality assessment.

[0116] In one embodiment, Figure 5As shown, a full life cycle quality assessment system for power equipment is provided, the system comprising:

[0117] Data acquisition module 1 is used to collect original quality data of the power equipment throughout its life cycle; the original quality data of the entire life cycle includes raw material inspection data, production process and inspection data, factory test data and installation and operation data;

[0118] Data processing module 2, used for standardizing the original quality data of the whole life cycle according to the preset data collection rules to obtain standard quality data of the whole life cycle;

[0119] Data screening module 3, used for adaptively screening the full life cycle standard quality data to obtain full life cycle effective quality data;

[0120] The stage scoring module 4 is used to score the effective quality data of the entire life cycle by stage according to the quality control characteristics of the power equipment, and obtain the quality score of the entire life cycle stage; the quality score of the entire life cycle stage includes the quality score of raw material inspection, the quality score of production process and inspection, the quality score of factory test and the quality score of installation and operation;

[0121] The comprehensive scoring module 5 is used to adaptively obtain the indicator scoring weights of the quality scores of each full life cycle stage, and perform weighted summation of the quality scores of the full life cycle stages according to the indicator scoring weights to obtain the power equipment quality score and the corresponding quality grade.

[0122] For the specific definition of a full life cycle quality assessment system for electric power equipment, please refer to the definition of a full life cycle quality assessment method for electric power equipment above, which will not be repeated here. Each module in the above-mentioned full life cycle quality assessment system for electric power equipment can be implemented in whole or in part through software, hardware and their combination. The above-mentioned modules 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 of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0123] Figure 6 FIG. 1 shows an internal structure diagram of a computer device in one embodiment, which may be a terminal or a server. Figure 6As shown, the computer device includes a processor, memory, network interface, display and input device connected via a system bus. 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 and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for evaluating the quality of power equipment throughout its life cycle is implemented. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0124] It can be understood by those skilled in the art that Figure 6 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 computing device may include more or fewer components than shown in the figure, or combine certain components, or have the same component arrangement.

[0125] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method 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 of the above method are implemented.

[0127] In summary, embodiments of the present invention provide a method, system, computer device, and storage medium for evaluating the quality of electric power equipment throughout its life cycle. The method collects raw quality data from the entire life cycle of the electric power equipment, standardizes the raw quality data according to preset data collection rules, and obtains standard quality data for the entire life cycle. The standard quality data is then adaptively filtered to obtain effective quality data for the entire life cycle. Quality scores are then assigned to the effective quality data for the entire life cycle according to the quality control characteristics of the electric power equipment, resulting in a quality score for each stage of the entire life cycle. Indicator weights for the quality scores for each stage of the entire life cycle are adaptively obtained, and weighted summation of the quality scores for each stage of the entire life cycle is performed based on the indicator weights to obtain a technical solution for the quality score of the electric power equipment and the corresponding quality grade. This method addresses application defects such as inconsistent quality evaluation standards and incomplete and objective evaluation systems for existing electric power equipment. It also achieves adaptive, high-precision filtering of standard quality data for the entire life cycle, effective alarms for data exceeding limits, and adaptive adjustment of the weights of historical quality score data for each stage. This method not only enables targeted, comprehensive, and intelligent evaluation of the quality of electric power equipment, but also effectively improves the reliability and accuracy of quality evaluation.

[0128] Each embodiment in this specification is described in a progressive manner, and the same or similar parts of each embodiment can be directly referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. It should be noted that the various technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the various 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 specification.

[0129] The above-described embodiments merely represent several preferred implementations of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent. It should be noted that a person skilled in the art could make several improvements and substitutions without departing from the technical principles of the present invention, and these improvements and substitutions should also be considered within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be based on the scope of protection of the claims.

Claims

1. A method for evaluating the quality of power equipment throughout its life cycle, characterized in that: The method comprises the following steps: Collect original quality data of power equipment throughout its life cycle; the original quality data includes raw material inspection data, production process and inspection data, factory test data, and installation and operation data; Standardize the original quality data of the entire life cycle according to the preset data collection rules to obtain standard quality data of the entire life cycle; Adaptively screening the full life cycle standard quality data to obtain full life cycle effective quality data; According to the quality control characteristics of power equipment, the effective quality data of the entire life cycle is scored by stage to obtain the quality score of the entire life cycle stage; the quality score of the entire life cycle stage includes the quality score of raw material inspection, the quality score of production process and inspection, the quality score of factory test and the quality score of installation and operation; Adaptively obtain the indicator scoring weights of the quality scores of each full life cycle stage, and perform weighted summation of the quality scores of the full life cycle stages according to the indicator scoring weights to obtain the power equipment quality score and the corresponding quality grade; wherein the indicator scoring weights of the quality scores of each full life cycle stage are dynamically adjusted based on the historical quality deduction data of the power equipment during the full life cycle stages; The step of adaptively screening the full life cycle standard quality data to obtain full life cycle effective quality data includes: According to the preset initial screening range and the standard quality data of the whole life cycle, the proportion of stage exceeding limit data is obtained; According to the model probability of the normal distribution, the stage data distribution alarm index is obtained, including: According to the historical full life cycle effective standard quality data, the standard deviation of the stage quality data and the expectation of the stage quality data are obtained; According to the stage quality data standard deviation and the corresponding stage quality data expectation, the corresponding stage one standard deviation fluctuation range probability, stage two standard deviation fluctuation range probability and stage three standard deviation fluctuation range probability are obtained respectively; According to the probability of the fluctuation range of one standard deviation in the stage, the probability of the fluctuation range of two standard deviations in the stage, and the probability of the fluctuation range of three standard deviations in the stage, the corresponding stage data distribution alarm index is obtained; the stage data distribution alarm index is expressed as: Among them, a i 、b i and c i They represent the probability of fluctuation within the range of one standard deviation, the probability of fluctuation within the range of two standard deviations, and the probability of fluctuation within the range of three standard deviations corresponding to the i-th stage in the whole life cycle respectively; A i Indicates the stage data distribution alarm index corresponding to stage i in the entire life cycle; According to the stage over-limit data ratio and the corresponding stage data distribution alarm index, the preset initial screening range is adjusted to obtain the corresponding stage data screening range; According to the stage data screening range, the full life cycle standard quality data is screened to obtain corresponding full life cycle effective quality data.

2. The method for evaluating the quality of power equipment throughout its life cycle according to claim 1, wherein: The step of standardizing the original quality data of the entire life cycle according to the preset data collection rules to obtain the standard quality data of the entire life cycle includes: According to the preset data collection rules, each full life cycle original quality data is standardized and normalized in turn to obtain the corresponding full life cycle standard quality data.

3. The method for evaluating the quality of electric power equipment throughout its life cycle according to claim 1, wherein: The step of adjusting the preset initial screening range according to the stage over-limit data ratio and the corresponding stage data distribution alarm index to obtain the corresponding stage data screening range includes: Determine whether the stage-specific excess data ratio is 0. If so, continue to use the preset initial screening range as the stage-specific data screening range. Otherwise, determine the corresponding first range threshold and second range threshold based on the probability of three times the standard deviation fluctuation range in each stage. If the proportion of over-limit data in the stage is less than the first range threshold, the upper limit value of the initial screening range is multiplied by the stage data distribution alarm index to obtain the upper limit value of the corresponding stage data screening range, and the lower limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the lower limit value of the corresponding stage data screening range; If the proportion of data exceeding the limit in the stage is greater than or equal to the first range threshold and less than the second range threshold, the upper limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the upper limit value of the data screening range of the corresponding stage, and the lower limit value of the initial screening range is still used as the lower limit value of the data screening range of the corresponding stage; If the proportion of out-of-limit data in the stage is greater than or equal to the second range threshold, the upper limit value of the initial screening range is divided by the stage data distribution alarm index to obtain the upper limit value of the corresponding stage data screening range, and the lower limit value of the initial screening range is multiplied by the stage data distribution alarm index to obtain the lower limit value of the corresponding stage data screening range.

4. The method for evaluating the quality of electric power equipment throughout its life cycle according to claim 1, wherein: The step of performing quality scoring on the effective quality data of the entire life cycle by stage according to the quality control characteristics of the power equipment to obtain the quality score of the entire life cycle stage includes: Determine the quality scoring standards for each stage based on the quality control characteristics and supervision standards of the power equipment; According to the quality scoring standards for each stage, the effective quality data of the entire life cycle is scored at a stage to obtain the corresponding quality score of the entire life cycle stage.

5. The method for evaluating the quality of electric power equipment throughout its life cycle according to claim 1, wherein: The step of adaptively obtaining the indicator scoring weights of the quality scoring of each full life cycle stage includes: Obtain historical quality deduction data for the entire life cycle of power equipment; the historical quality deduction data for the entire life cycle includes several historical raw material inspection deduction data, several production process and inspection deduction data, several factory test deduction data, and several installation and operation deduction data; Accumulate the quality deduction data of the historical full life cycle stage according to each stage to obtain the stage cumulative deduction data, and according to the supervision requirements, perform weighted summation of the quality deduction data of the historical full life cycle stage according to the time sequence to obtain the stage deduction time sequence weight index; Determine the corresponding indicator weight score based on the accumulated deduction data of each stage and the corresponding stage deduction time series weight index; According to the weight score of each indicator, calculate the corresponding indicator weight index; According to the indicator weight index, the initial indicator scoring weight corresponding to the initial full life cycle stage quality score is updated to obtain the corresponding indicator scoring weight; the indicator scoring weight is expressed as: Where, u i =F i (N i *e i ) Among them, w i and They represent the initial indicator scoring weight and the updated indicator scoring weight respectively; u i (i=1,2,3,4) represents the indicator weight index of the i-th stage in the whole life cycle; G is the sum of the indicator weight index of the whole life cycle; F i 、N i and e i Represents the indicator weight score, number of historical data and full score of the i-th stage in the entire life cycle.

6. A full life cycle quality assessment system for power equipment, characterized in that: The method for evaluating the quality of electric power equipment throughout its life cycle as claimed in claim 1 is applied, wherein the system comprises: A data acquisition module is used to collect original quality data of the power equipment throughout its life cycle; the original quality data of the entire life cycle includes raw material inspection data, production process and inspection data, factory test data, and installation and operation data; A data processing module is used to standardize the original quality data of the entire life cycle according to preset data collection rules to obtain standard quality data of the entire life cycle; A data screening module is used to adaptively screen the full life cycle standard quality data to obtain full life cycle effective quality data; A stage scoring module is used to score the effective quality data of the entire life cycle by stage according to the quality control characteristics of power equipment, thereby obtaining a stage quality score for the entire life cycle; the stage quality score for the entire life cycle includes the quality score of raw material inspection, the quality score of production process and inspection, the quality score of factory test, and the quality score of installation and operation; The comprehensive scoring module is used to adaptively obtain the indicator scoring weights of the quality scores of each full life cycle stage, and perform weighted summation of the quality scores of the full life cycle stages according to the indicator scoring weights to obtain the power equipment quality score and the corresponding quality grade.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

8. 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 5 are implemented.

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