Multi-index classification weight scoring method and related device

Abstract

The invention discloses a multi-index classification weight scoring method and a related device, and belongs to the technical field of equipment performance evaluation. The method comprises the following steps: constructing an index evaluation system; the index evaluation system comprises index classification, indexes and index basic information; index classification is selected in the standard evaluation system according to the to-be-evaluated equipment; determining the weight of each index classification, and setting a plurality of indexes to which each index classification belongs and an index scoring standard; acquiring historical data of the to-be-evaluated equipment, and calculating each index score based on the index scoring standard; and according to the weight of each index classification and the index score, finally calculating to obtain a scoring result of the to-be-evaluated equipment. According to the method, the obtained scoring result is objective and reliable, whether longitudinal comparison of the same equipment in different periods or transverse comparison between different equipment can be carried out based on a unified scoring standard, and the fairness and objectivity of evaluation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment performance evaluation and relates to a multi-index classification weight scoring method and related devices. Background Art

[0002] With the acceleration of industrialization and urbanization, the emission of various pollutants has posed a serious threat to the ecological environment. Problems such as air pollution and water pollution not only affect people's daily quality of life, but also pose a challenge to the balance and sustainable development of the ecosystem.

[0003] Traditional power generation methods, such as coal-fired power generation, produce large amounts of pollutants such as sulfur dioxide, nitrogen oxides, and particulate matter during combustion, causing serious atmospheric pollution. Companies are beginning to strengthen their management of pollution emissions. However, the diversity and complexity of pollutant indicators make monitoring generator sets difficult.

[0004] The power generation process produces a wide variety of pollutants, encompassing various forms, including gaseous, liquid, and solid. For example, gaseous pollutants include sulfur dioxide, nitrogen oxides, carbon monoxide, and volatile organic compounds. Different types of pollutants have varying physical and chemical properties, resulting in distinct emission patterns and impacts. This requires power generation companies to employ a variety of monitoring methods and technical means to accurately monitor these pollutants. In addition to this diversity, pollutant indicators are also complex. Pollutant emissions are influenced by numerous factors, such as fuel type, combustion process, and operating conditions. For example, pollutant emissions from coal-fired power plants vary significantly with changes in coal sulfur content, ash content, combustion temperature, and excess air ratio. Furthermore, pollutants interact and transform with each other. For example, sulfur dioxide and nitrogen oxides react chemically in the atmosphere to form secondary pollutants, such as sulfates and nitrates, further exacerbating air pollution. This complex interrelationship makes monitoring pollutants from power generation units more difficult, requiring comprehensive consideration of multiple factors to accurately assess pollutant emissions.

[0005] Due to the diversity and complexity of these pollutant indicators, power generation companies currently lack a unified standard and method for evaluating pollutant indicators for their generating units. Different companies and regions may use different evaluation indicators and methods, resulting in a lack of comparability and fairness in the evaluation results, making it difficult to objectively and accurately assess the pollutant emissions of different units. Therefore, there is an urgent need for a unified, multi-indicator comprehensive evaluation method to assess the performance of different units on pollutant indicators. Summary of the Invention

[0006] The purpose of the present invention is to provide a method and related device for multi-index classification weight scoring to solve the technical problem of the existing technology in the lack of a unified, objective and standard evaluation system when evaluating pollutant indicators of power generation units.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for multi-index classification weight scoring, comprising the following steps: Constructing an indicator evaluation system; the indicator evaluation system includes indicator classification, indicators and basic information of indicators; Select the index classification in the standard evaluation system according to the equipment to be evaluated; Determine the weight of each indicator category, set a number of indicators and indicator scoring criteria for each indicator category; Obtain historical data of the device to be evaluated and calculate the score of each indicator based on the indicator scoring criteria; According to the weight of each indicator category and the indicator score, the score result of the equipment to be evaluated is finally calculated.

[0008] Furthermore, the basic information of the indicator includes the evaluation criteria, the best extreme value and the worst extreme value of the indicator.

[0009] Furthermore, the steps of determining the weight of each indicator category and setting a number of indicators and indicator scoring criteria for each indicator category specifically include: Determine the weight of each indicator category; Set the indicator for each indicator category, and there must be at least one indicator; Based on the basic information of indicators in the original indicator evaluation system, determine the scoring criteria for each indicator.

[0010] Furthermore, the sum of the weights of all indicator categories is 1.

[0011] Furthermore, the step of obtaining historical data of the device to be evaluated and calculating the score of each indicator based on the indicator scoring standard specifically includes: Obtain historical data of the equipment to be evaluated; Based on the indicator scoring criteria, the corresponding score of each indicator is calculated using the interpolation method through the historical data of the equipment to be evaluated.

[0012] Furthermore, the step of using the interpolation method to calculate the corresponding score of each indicator specifically includes: For indicators where the bigger the better, the scoring formula is: Rating = (actual value - worst value) / (best value - worst value) × 100 For the smaller the better indicator, the scoring formula is: Rating = (worst value - actual value) / (worst value - best value) × 100.

[0013] Furthermore, the step of finally calculating the scoring result of the device to be evaluated based on the weight of each indicator classification and the indicator score specifically includes: Calculate the average of the indicator scores of each indicator category, and then multiply it by the weight of the indicator category to obtain the score of the indicator category; The scores of all indicator categories are summed up to calculate the average score to obtain the score result of the equipment to be evaluated.

[0014] In a second aspect, the present invention provides a system for multi-index classification weight scoring, comprising: An evaluation system construction module is used to construct an indicator evaluation system; the indicator evaluation system includes indicator classification, indicators and basic information of indicators; The indicator classification selection module is used to select the indicator classification in the standard evaluation system according to the equipment to be evaluated; The indicator determination module is used to determine the weight of each indicator category and set a number of indicators and indicator scoring criteria for each indicator category; The indicator scoring calculation module is used to obtain historical data of the equipment to be evaluated and calculate the score of each indicator based on the indicator scoring criteria; The equipment scoring calculation module is used to calculate the scoring result of the equipment to be evaluated based on the weight of each indicator classification and the indicator score.

[0015] In a third aspect, the present invention 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.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention discloses a method and related device for multi-indicator classification and weighted scoring. By constructing an evaluation system that includes indicator classification, indicators, and basic indicator information, the indicators are carefully classified, enabling accurate analysis based on the characteristics and evaluation requirements of different types of indicators. This method avoids the problems of mixed indicators and vague evaluation criteria in traditional evaluation methods, making the evaluation process more scientific and reasonable, thereby improving the accuracy of the evaluation results. The basic indicator information includes evaluation criteria, optimal extreme values, and worst extreme values, providing a clear reference framework for the evaluation of each indicator. When calculating the indicator score, the quality of the indicator can be accurately judged based on this information, further improving the accuracy of the evaluation. The present invention can group all indicators involved in the scoring of the unit, and each group indicator can be assigned a scoring weight. Multiple indicators can be set in each group, and each indicator can be assigned an optimal and worst value for scoring. The resulting scoring results are objective and reliable. Whether it is a longitudinal comparison of the same equipment at different times or a horizontal comparison between different equipment, it can be based on a unified scoring standard, improving the fairness and objectivity of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a flow chart of the method of the present invention; Figure 2 is a schematic diagram of the system of the present invention; Figure 3 A schematic diagram of a scoring system structure according to an embodiment of the present invention; Figure 4 This is a flowchart of the calculation of the indicator scoring results of the embodiment of the present invention; Figure 5 It is a schematic diagram of the computer device structure of the present invention. DETAILED DESCRIPTION

[0020] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0021] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0022] See also Figure 1 , the embodiment of the present invention discloses a method for multi-index classification weight scoring, comprising the following steps: Step 1: Construct an indicator evaluation system; the indicator evaluation system includes indicator classification, indicators and basic information of indicators; The basic information of the indicators covers evaluation criteria, optimal extreme values ​​and worst extreme values, etc., providing a clear reference framework for the evaluation of each indicator.

[0023] By constructing an evaluation system that includes indicator classification, indicators, and basic information about indicators, this method allows for detailed classification of indicators and enables precise analysis based on the characteristics and evaluation requirements of different types of indicators. This avoids the problems of mixed indicators and ambiguous evaluation criteria in traditional evaluation methods, making the evaluation process more scientific and reasonable, thereby improving the accuracy of evaluation results.

[0024] Step 2: Select the indicator classification in the standard evaluation system according to the equipment to be evaluated; Step 3: Determine the weight of each indicator category, and the sum of the weights of all indicator categories is 1. Set several indicators and indicator scoring criteria for each indicator category; Step 301, determining the weight of each indicator category; Step 302: Set the indicator to which each indicator category belongs, and the number of the indicator is at least one.

[0025] Step 303: Determine the scoring criteria for each indicator based on the basic indicator information in the original indicator evaluation system.

[0026] The present invention flexibly adjusts the indicators based on the actual conditions of each evaluated device, and the number of indicators is at least one. This flexibility enables the method to adapt to the evaluation needs of devices of different types and sizes. Whether it is a simple device or a complex system, appropriate indicators can be selected for evaluation based on its characteristics.

[0027] Step 4: Obtain historical data of the device to be evaluated and calculate the score of each indicator based on the indicator scoring criteria; Step 401, obtaining historical data of the device to be evaluated; Step 402: Based on the indicator scoring criteria, the corresponding score of each indicator is calculated using the interpolation method through the historical data of the device to be evaluated. The specific calculation formula is: For indicators where the bigger the better, the scoring formula is: Rating = (actual value - worst value) / (best value - worst value) × 100 For the smaller the better indicator, the scoring formula is: Rating = (worst value - actual value) / (worst value - best value) × 100.

[0028] This method determines the scoring criteria for each indicator based on the basic information in the original indicator evaluation system, ensuring consistency and comparability between evaluations of different devices and over different time periods. Whether comparing the same device over different time periods or comparing different devices horizontally, the scoring criteria are unified, improving the fairness and objectivity of the evaluation.

[0029] Step 5: Based on the weight of each indicator category and the indicator score, the score result of the device to be evaluated is finally calculated.

[0030] Step 501: Calculate the average value of the indicator scores of each indicator category, and then multiply it by the weight of the indicator category to obtain the score of the indicator category; Step 502: Sum up the scores of all indicator categories to calculate the average score and obtain the score result of the device to be evaluated.

[0031] The present invention first calculates the score of each indicator category based on its weight and indicator score, and then takes the weighted sum of all the indicator category scores to obtain the score of the device to be evaluated. This hierarchical calculation method not only makes the evaluation results clearer and easier to understand, but also facilitates in-depth analysis of the performance of the device in different aspects.

[0032] See also Figure 2 The embodiment of the present invention discloses a system for multi-indicator classification weight scoring, including an evaluation system construction module, an indicator classification selection module, an indicator determination module, an indicator scoring calculation module and an equipment scoring calculation module.

[0033] Among them, the evaluation system construction module is used to construct an indicator evaluation system; the indicator evaluation system includes indicator classification, indicators and basic information of indicators; the indicator classification selection module is used to select indicator classification in the standard evaluation system according to the equipment to be evaluated; the indicator determination module is used to determine the weight of each indicator classification, set a number of indicators and indicator scoring standards belonging to each indicator classification; the indicator scoring calculation module is used to obtain the historical data of the equipment to be evaluated, and calculate the score of each indicator based on the indicator scoring standard; the equipment scoring calculation module is used to finally calculate the scoring result of the equipment to be evaluated based on the weight of each indicator classification and the indicator score.

[0034] Example: 1) Build as Figure 3 The indicator evaluation system shown sets indicator classification and creates the major categories of indicators according to the types of indicators, which makes it easier to classify and manage the indicators.

[0035] 2) Set Basic Indicator Information: Filter appropriate indicators for each category and set performance criteria for each indicator, with larger values ​​being better or smaller values ​​being better. Also set the indicator's optimal and worst-case limits. Weight allocation supports dynamic adjustment, allowing you to configure different weighting schemes based on different evaluation scenarios. Indicator baseline settings support historical data statistical analysis, automatically recommending optimal and worst-case values.

[0036] 3) Set scoring indicators for the equipment to be evaluated; 1. Select the required indicator category; this embodiment establishes three indicator categories: "energy consumption", "efficiency", and "reliability".

[0037] 2. Set a value for this indicator category. This value represents the score proportion represented by this indicator in the scoring system. All categories are optional, but the final proportion must be 1.

[0038] 3. Select one or more indicators for this category to use for device scoring. The number of indicators that can be selected for each category is not fixed, but at least one indicator is required.

[0039] 4. Set the evaluation criteria for indicators. Based on the original indicator scoring criteria, you can modify the scoring criteria and the values ​​corresponding to the best and worst values ​​to make scoring more accurate. For example, under the "Energy Consumption" category, set the "Power Consumption" indicator to "The Smaller the Better," with an optimal value of -80 and a worst value of 300.

[0040] 4) Calculate the score of a single indicator: 1. Get the historical data of the selected indicator at a certain time; 2. Refer to the good and bad evaluation criteria in the basic information of the indicator and the corresponding best and worst values, and use the interpolation method to calculate the score corresponding to the value The interpolation calculation adopts the linear interpolation formula: For the "bigger is better" indicator: score = (actual value - worst value) / (best value - worst value) × 100 For the "smaller is better" indicator: score = (worst value - actual value) / (worst value - best value) × 100 3. Then, based on the category score weight of the indicator, calculate the score under that weight.

[0041] 5) Calculate the comprehensive score of multiple indicators under a category. If there are multiple indicators under a category, use step 4) to calculate the scores of all indicators, then sum up the scores of all indicators, average them, and multiply them by their weights to get the score of the category.

[0042] 6) Calculation of final equipment score: If a certain equipment is scored using multiple types of indicators, the final score is the sum of the scores of each category, such as Figure 4 shown.

[0043] In one embodiment of the present invention, see Figure 5 , provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of a multi-index classification weight scoring method.

[0044] The present invention also provides a storage medium, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in a computer device, used to store programs and data. It is understood that the computer-readable storage medium herein may include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides storage space, which stores the terminal's operating system. Furthermore, the storage space also stores one or more instructions suitable for being loaded and executed by a processor. These instructions may be one or more computer programs (including program code). It should be noted that the computer-readable storage medium herein may be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor may load and execute the one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the method for multi-index classification weight scoring in the above-mentioned embodiment.

[0045] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0046] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0047] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1The function specified in one or more boxes.

[0048] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0049] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for multi-index classification weight scoring, characterized in that: The following steps are involved: Constructing an indicator evaluation system; the indicator evaluation system includes indicator classification, indicators and basic information of indicators; Select the index classification in the standard evaluation system according to the equipment to be evaluated; Determine the weight of each indicator category, set a number of indicators and indicator scoring criteria for each indicator category; Obtain historical data of the device to be evaluated and calculate the score of each indicator based on the indicator scoring criteria; According to the weight of each indicator category and the indicator score, the score result of the equipment to be evaluated is finally calculated.

2. A multi-index classification weight scoring method according to claim 1, characterized in that: The basic information of the indicator includes the evaluation criteria, the best extreme value and the worst extreme value of the indicator.

3. The method for multi-index classification weight scoring according to claim 1, characterized in that: The steps of determining the weight of each indicator category and setting a number of indicators and indicator scoring criteria for each indicator category specifically include: Determine the weight of each indicator category; Set the indicator for each indicator category, and there must be at least one indicator; Based on the basic information of indicators in the original indicator evaluation system, determine the scoring criteria for each indicator.

4. The method for multi-index classification weight scoring according to claim 1, characterized in that: The sum of the weights of all indicator categories is 1.

5. The method for multi-index classification weight scoring according to claim 1, characterized in that: The steps of obtaining historical data of the device to be evaluated and calculating the score of each indicator based on the indicator scoring standard specifically include: Obtain historical data of the equipment to be evaluated; Based on the indicator scoring criteria, the corresponding score of each indicator is calculated using the interpolation method through the historical data of the equipment to be evaluated.

6. A multi-index classification weight scoring method according to claim 5, characterized in that: The step of using the interpolation method to calculate the corresponding score of each indicator specifically includes: For indicators where the bigger the better, the scoring formula is: Rating = (actual value - worst value) / (best value - worst value) × 100 For the smaller the better indicator, the scoring formula is: Rating = (worst value - actual value) / (worst value - best value) × 100.

7. The method for multi-index classification weight scoring according to claim 1, characterized in that: The step of finally calculating the scoring result of the device to be evaluated based on the weight of each indicator classification and the indicator score specifically includes: Calculate the average of the indicator scores of each indicator category, and then multiply it by the weight of the indicator category to obtain the score of the indicator category; The scores of all indicator categories are summed up to calculate the average score to obtain the score result of the equipment to be evaluated.

8. A multi-index classification weight scoring system, characterized in that: include: An evaluation system construction module is used to construct an indicator evaluation system; the indicator evaluation system includes indicator classification, indicators and basic information of indicators; The indicator classification selection module is used to select the indicator classification in the standard evaluation system according to the equipment to be evaluated; The indicator determination module is used to determine the weight of each indicator category and set a number of indicators and indicator scoring criteria for each indicator category; The indicator scoring calculation module is used to obtain historical data of the equipment to be evaluated and calculate the score of each indicator based on the indicator scoring criteria; The equipment scoring calculation module is used to calculate the scoring result of the equipment to be evaluated based on the weight of each indicator classification and the indicator score.

9. 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 7 are implemented.

10. A computer-readable storage medium storing 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 7 are implemented.

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