An evaluation and selection method for fuel system alternatives based on evaluation value optimization

Abstract

The present application relates to the field of fuel equipment replacement evaluation, and discloses a kind of evaluation selection method of fuel equipment replacement equipment based on evaluation value optimization, comprising: obtaining the pollution emission data and cost data of each fuel equipment;The data quality evaluation is carried out to pollution emission data and cost data;The pollution emission data and cost data after data quality evaluation are pretreated, and the emission pollutant concentration and economic cost of each fuel equipment are determined according to the pollution emission data and cost data after pretreatment;And determine the evaluation value of each fuel equipment, the ratio between the evaluation value of emission pollutant concentration and economic cost;Determine the environmental protection standard of pollutant, based on the greedy algorithm, according to the environmental protection standard of pollutant and the evaluation value of fuel equipment to determine the selection strategy of fuel equipment.The present application can provide scientific, objective and comprehensive evaluation basis for users when selecting the replacement fuel equipment, which helps to promote the development of fuel equipment to more efficient and more environmentally friendly direction.

Description

Technical Field

[0001] This invention relates to the field of fuel equipment replacement assessment technology, and in particular to an assessment and selection method for fuel equipment replacement equipment based on evaluation value optimization. Background Technology

[0002] With increasing demands for environmental protection and energy conservation, the replacement of fuel-powered appliances is becoming increasingly important in modern society. Traditional fuel-powered appliances typically produce large amounts of pollutants such as carbon dioxide, sulfides, and nitrogen oxides, which cause serious environmental pollution. Furthermore, with the dwindling availability of fossil fuels, the search for more efficient and environmentally friendly alternatives is particularly urgent.

[0003] However, choosing alternative fuel-powered equipment is not an easy task. Different environments, configurations, and needs lead to different benefits from replacing fuel-powered equipment. Traditionally, the selection of alternative fuel-powered equipment relies on rough, manual judgment, which is subjective and inaccurate. Therefore, how to evaluate and select alternative fuel-powered equipment has become a pressing issue. Summary of the Invention

[0004] The purpose of this invention is to provide an evaluation and selection method for fuel equipment alternatives based on evaluation value optimization, in order to solve the above-mentioned problems.

[0005] This invention provides an evaluation and selection method for fuel system replacement equipment based on evaluation value optimization, comprising:

[0006] Based on the company's annual plan, identify the fuel equipment to be screened and obtain pollution emission data and cost data for each piece of fuel equipment;

[0007] The pollution emission data and cost data are evaluated for data quality to obtain a data quality score, and pollution emission data and cost data with data quality scores less than the quality score threshold are reacquired.

[0008] The pollution emission data and cost data that have undergone data quality evaluation are preprocessed. The emission pollutant concentration of each fuel unit is determined based on the preprocessed pollution emission data, and the economic cost of each fuel unit is determined based on the preprocessed cost data.

[0009] The evaluation value of each fuel unit is determined based on the emission pollutant concentration and economic cost of each fuel unit.

[0010] The environmental standards for pollutants are determined, and a selection strategy for replacing fuel-powered equipment is determined based on the pollutant environmental standards and the evaluation value of fuel-powered equipment, using a greedy algorithm.

[0011] Preferably, the pollution emission data and cost data are evaluated for data quality to obtain a data quality score, including:

[0012] Create multiple dimensions for data quality assessment and their corresponding evaluation indicators;

[0013] The pollution emission data and cost data are scored in various dimensions according to the evaluation indicators, and the data quality score corresponding to the pollution emission data and cost data of each fuel equipment is obtained.

[0014] The data quality score is compared with the quality score threshold. If the data quality score is greater than or equal to the quality score threshold, then the pollution emission data and cost data corresponding to the data quality score are determined to meet the requirements.

[0015] If the data quality score is less than the quality score threshold, it is determined that the pollution emission data and cost data corresponding to the data quality score do not meet the requirements and need to be obtained again.

[0016] Preferably, the dimensions include: completeness, standardization, accuracy, uniqueness, and timeliness;

[0017] The evaluation indicators include: completeness rate, standardization rate, accuracy rate, repetition rate, and timeliness rate.

[0018] Preferably, the concentration of pollutants emitted by each fuel-powered device is determined based on the pretreated pollution emission data, including:

[0019] The pre-processed pollution emission data includes the types of pollutants and their corresponding concentrations.

[0020] The concentration of the emitted pollutants is determined according to the following formula:

[0021]

[0022] Where CP represents the concentration of pollutants emitted by fuel-powered equipment, n represents the number of pollutant types, and C i Q represents the emission concentration of the i-th pollutant. i This represents the influence coefficient of the i-th pollutant.

[0023] Preferably, the economic cost of each fuel unit is determined based on the pre-processed cost data, including:

[0024] The preprocessed cost data includes the intrinsic value of the fuel equipment, its service life, daily fuel consumption, daily labor costs, and other costs.

[0025] The economic cost is determined according to the following formula:

[0026]

[0027] Where CE represents the economic cost of the fuel-powered equipment, C0 represents the intrinsic value of the fuel-powered equipment, and C T Other costs are represented by T, and the useful life is represented by C. y V represents the unit price of fuel. y C represents daily fuel consumption. w This indicates the daily labor cost.

[0028] Preferably, the evaluation value of each fuel unit is determined based on the emission pollutant concentration and economic cost of each fuel unit, including:

[0029] The evaluation value is the ratio between the emission pollutant concentration of each fuel-powered device and its economic cost. The evaluation value is set as A, i.e., A = CP / CE.

[0030] Preferably, the process of determining pollutant environmental standards, and based on a greedy algorithm, determining a selection strategy for replacing fuel-powered equipment according to the pollutant environmental standards and the evaluation value of the fuel-powered equipment, further includes:

[0031] Obtain the overall emission pollutant concentration of the current fuel equipment, and compare the overall emission pollutant concentration with the standard pollutant concentration in the environmental protection standard for the pollutants;

[0032] If the overall emission pollutant concentration is greater than the standard pollutant concentration, then the pollutant concentration difference between the overall emission pollutant concentration and the standard pollutant concentration is determined, and a fuel equipment replacement strategy is determined based on the pollutant concentration difference and the evaluation value of the fuel equipment.

[0033] If the overall pollutant concentration is less than or equal to the standard pollutant concentration, then the fuel-powered equipment will not be replaced.

[0034] Preferably, determining a fuel equipment replacement strategy based on the pollutant concentration difference and the evaluation value of the fuel equipment includes:

[0035] The fuel equipment is sorted in descending order based on its evaluation value.

[0036] Based on the sorting order, fuel equipment is selected according to the pollutant concentration difference, and the emission pollutant concentrations of the selected fuel equipment are summed to obtain a sum value. The sum value is compared with the pollutant concentration difference value. If the sum value is greater than or equal to the pollutant concentration difference value, the selected fuel equipment is determined as the selection strategy.

[0037] Preferably, selecting fuel equipment based on the pollutant concentration difference according to the sorting order includes:

[0038] If the pollutant concentration difference is greater than or equal to the pollutant concentration of the first-ranked fuel equipment, then the first-ranked fuel equipment is selected, and the remaining pollutant concentration difference is obtained.

[0039] The remaining pollutant concentration difference is compared with the emission pollutant concentration of the next-ranked fuel equipment until the remaining pollutant concentration difference is less than the emission pollutant concentration of the next-ranked fuel equipment. The minimum value of the difference between the remaining pollutant concentration difference and the emission pollutant concentration of the remaining-ranked fuel equipment is determined, and the fuel equipment corresponding to the minimum value is selected to generate a fuel equipment replacement strategy.

[0040] Preferably, the method further includes: after replacing the fuel equipment according to the selection strategy, detecting the real-time pollutant emission concentration, and determining whether the real-time pollutant emission concentration meets the pollutant environmental protection standards.

[0041] Compared with existing technologies, the beneficial effects of this invention are as follows: the evaluation and selection method for alternative fuel equipment based on evaluation value optimization proposed in this invention can provide users with a scientific, objective, and comprehensive evaluation basis when selecting alternative fuel equipment, helping to promote the development of fuel equipment towards a more efficient and environmentally friendly direction. This invention ensures the accuracy and reliability of data by acquiring and analyzing pollution emission data and cost data, evaluating the quality of the data, and re-acquiring it. It comprehensively considers the concentration of pollutants emitted and economic costs, enabling a comprehensive measurement of equipment performance and benefits. Calculating the evaluation value for each fuel equipment provides clear quantitative indicators for selecting alternative equipment. Combining pollutant environmental standards and evaluation values ​​with a greedy algorithm helps to achieve a balance between environmental requirements and economic costs, finding the optimal alternative equipment selection strategy. This helps to promote the upgrading of fuel equipment, reduce environmental pollution, and promote sustainable development. It provides a scientific basis for relevant decision-making, improving the accuracy and rationality of decisions. This method is applicable to different types of fuel equipment, possessing broad applicability and scalability. Attached Figure Description

[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0043] Figure 1 This is one of the flowcharts of an evaluation and selection method for fuel equipment replacement equipment based on evaluation value optimization according to the present invention.

[0044] Figure 2This is the second flowchart of an evaluation and selection method for fuel equipment replacement equipment based on evaluation value optimization according to the present invention. Detailed Implementation

[0045] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0046] like Figure 1 As shown, this invention provides an evaluation and selection method for fuel system replacement equipment based on evaluation value optimization, comprising:

[0047] S1, based on the company's annual plan, identifies the fuel equipment to be screened and obtains pollution emission data and cost data for each fuel equipment.

[0048] S2, evaluate the data quality of the pollution emission data and cost data to obtain a data quality score, and reacquire pollution emission data and cost data whose data quality scores are less than the quality score threshold.

[0049] S3 preprocesses the pollution emission data and cost data that have undergone data quality evaluation, determines the emission pollutant concentration of each fuel unit based on the preprocessed pollution emission data, and determines the economic cost of each fuel unit based on the preprocessed cost data.

[0050] S4. Determine the evaluation value of each fuel unit based on the emission pollutant concentration and economic cost of each fuel unit.

[0051] S5. Determine the environmental standards for pollutants. Based on a greedy algorithm, determine the selection strategy for replacing fuel equipment according to the environmental standards for pollutants and the evaluation value of fuel equipment.

[0052] In step S1, the company's annual plan includes the pollutant emission standards that the company needs to meet in the current year, and provides alternative fuel-powered equipment that should meet the prescribed environmental standards. After identifying the fuel-powered equipment to be screened, detailed pollution emission data and cost data for these devices are collected for subsequent evaluation and selection.

[0053] In some embodiments of this application, data quality evaluation is performed on the pollution emission data and cost data to obtain a data quality score, including: creating multiple dimensions of data quality evaluation and their corresponding evaluation indicators; scoring the pollution emission data and cost data for each dimension according to the evaluation indicators, and obtaining a data quality score corresponding to the pollution emission data and cost data of each fuel device; comparing the data quality score with a quality score threshold; if the data quality score is greater than or equal to the quality score threshold, it is determined that the pollution emission data and cost data corresponding to the data quality score meet the requirements; if the data quality score is less than the quality score threshold, it is determined that the pollution emission data and cost data corresponding to the data quality score do not meet the requirements and need to be re-acquired.

[0054] In some embodiments of this application, the dimensions include: completeness, standardization, accuracy, uniqueness, and timeliness; the evaluation indicators include: completeness rate, standardization rate, accuracy rate, duplication rate, and timeliness rate.

[0055] In this embodiment, to ensure the accuracy and reliability of pollution emission and cost data, a detailed data quality evaluation is first required. First, multiple dimensions for data quality evaluation are created, and corresponding evaluation indicators are set for each dimension. These dimensions may include data completeness, standardization, accuracy, uniqueness, and timeliness. For example, data completeness can be measured by the missing data rate; data standardization can be evaluated by the consistency of data format; data accuracy can be assessed by the degree of difference between the data and actual measurements; data uniqueness can be measured by the number of duplicate data items; and data timeliness can be assessed by the frequency and time difference of data updates. Next, the pollution emission and cost data are scored across each dimension according to the established evaluation indicators. Each data item receives a score on each dimension, and the final data quality score for each fuel unit's pollution emission and cost data is obtained through weighted averaging or other statistical methods. This score reflects the overall performance of the data across all dimensions. Then, the obtained data quality score is compared with a pre-set quality score threshold. The quality score threshold is a standard value used to determine whether the data reaches an acceptable quality level. If the quality score of a pollution emission or cost data point is greater than or equal to the quality score threshold, then the data quality is considered acceptable and can be used for further analysis and decision-making. Conversely, if the quality score is less than the quality score threshold, the data quality is considered unacceptable and requires re-acquisition or supplementation. This data quality evaluation process ensures the reliability of pollution emission and cost data, providing solid data support for subsequent environmental management and cost control. This not only helps improve the scientific rigor and accuracy of decision-making but also effectively avoids potential risks and losses caused by data quality issues. The quality score threshold can be constructed using statistical methods, such as using statistical indicators like the mean, median, or mode as reference points. Alternatively, using a threshold table from a scorecard example is a common practice. By statistically analyzing the impact of different score thresholds on the results, a threshold table can be created, and the threshold range can be narrowed down based on key information in the table to ultimately determine a suitable score threshold for the current needs. Finally, thresholds can also be manually set based on objectives and historical experience. If there are clear objectives or sufficient experience, a reasonable threshold can be directly set. Determining data quality scoring thresholds is a process that comprehensively considers statistical analysis, requirements, and historical experience. In practice, it may be necessary to combine multiple methods and principles to ensure the reasonableness and effectiveness of the thresholds.

[0056] In some embodiments of this application, preprocessing includes standardization, missing value handling, deduplication, and outlier handling. Standardization aims to eliminate the influence of different units of measurement, making the data comparable. Common standardization methods include min-max standardization and Z-score standardization. Missing value handling involves imputing or deleting missing data; common imputation methods include mean imputation, median imputation, and mode imputation. Deduplication ensures that the dataset does not contain duplicate records, thereby improving data quality. Outlier handling identifies and processes outliers in the data; common outlier detection methods include box plotting, Z-score analysis, and IQR.

[0057] In some embodiments of this application, the emission pollutant concentration of each fuel cell device is determined based on pre-processed pollution emission data, including: the pre-processed pollution emission data includes pollutant types and corresponding pollutant concentrations;

[0058] The concentration of the emitted pollutants is determined according to the following formula:

[0059]

[0060] Where CP represents the concentration of pollutants emitted by fuel-powered equipment, n represents the number of pollutant types, and C i Q represents the emission concentration of the i-th pollutant. i This represents the influence coefficient of the i-th pollutant.

[0061] In this embodiment, the pollutants emitted by fuel-powered equipment include PM2.5, PM10, SO2, NO2, CO, and O3. Based on the preprocessing of the pollution emission data, the concentration of pollutants emitted by each fuel-powered device can be further determined. This process involves detailed analysis of the pollution emission data to ensure that we can accurately identify and quantify the concentration levels of various pollutants. Through the above, the pollutant concentration emitted by each fuel-powered device can be scientifically and accurately assessed, thereby providing strong data support for environmental protection and pollution control.

[0062] In some embodiments of this application, the economic cost of each fuel equipment is determined based on preprocessed cost data, including: the preprocessed cost data includes the fuel equipment's intrinsic value, service life, daily fuel consumption, daily labor costs, and other costs;

[0063] The economic cost is determined according to the following formula:

[0064]

[0065] Where CE represents the economic cost of the fuel-powered equipment, C0 represents the intrinsic value of the fuel-powered equipment, and C TOther costs are represented by T, and the useful life is represented by C. y V represents the unit price of fuel. y C represents daily fuel consumption. w This indicates the daily labor cost.

[0066] In this embodiment, following the preprocessing steps, the economic cost of each fuel-powered device can be accurately calculated. This process involves in-depth analysis of cost data to ensure a comprehensive understanding of the cost structure of each device. Specifically, this cost data includes the device's intrinsic value, service life, daily fuel consumption, daily labor costs, and other related costs. First, the intrinsic value of the fuel-powered device refers to the amount spent when purchasing it, typically reflecting the initial investment cost. Second, the service life refers to the time span from when the device is put into use until it is scrapped; this indicator helps us assess the depreciation of the device. Daily fuel consumption refers to the amount of fuel consumed by the device in one day, a key factor in calculating fuel costs. Daily labor costs involve the labor costs required to operate and maintain the device, including wages, benefits, and other related expenses. Finally, other costs may include repair costs, maintenance costs, insurance costs, etc., all of which affect the overall economic cost of the device. Through comprehensive analysis of this cost data, the economic cost of each fuel-powered device can be derived, providing strong support for device management and decision-making.

[0067] In some embodiments of this application, the evaluation value of each fuel device is determined based on the emission pollutant concentration and economic cost of each fuel device, including: the evaluation value is the ratio between the emission pollutant concentration and economic cost of each fuel device, and the evaluation value is set as A value, i.e., A = CP / CE.

[0068] In this embodiment, the evaluation value is derived by comparing the emission pollutant concentration of each fuel-powered device with its economic cost. Specifically, the evaluation value is calculated using the formula A = CP / CE, where CP represents the emission pollutant concentration and CE represents the economic cost. This method quantifies the environmental and economic performance of each fuel-powered device, and a higher evaluation value indicates a more cost-effective replacement.

[0069] In some embodiments of this application, determining the environmental standards for pollutants and, based on a greedy algorithm, determining a selection strategy for replacing fuel equipment according to the environmental standards for pollutants and the evaluation value of the fuel equipment, further includes: obtaining the comprehensive emission pollutant concentration of the current fuel equipment; comparing the comprehensive emission pollutant concentration with the standard pollutant concentration in the environmental standards for pollutants; if the comprehensive emission pollutant concentration is greater than the standard pollutant concentration, determining the pollutant concentration difference between the comprehensive emission pollutant concentration and the standard pollutant concentration, and determining a selection strategy for replacing fuel equipment according to the pollutant concentration difference and the evaluation value of the fuel equipment; if the comprehensive emission pollutant concentration is less than or equal to the standard pollutant concentration, then the fuel equipment is not replaced.

[0070] In some embodiments of this application, determining a fuel equipment replacement strategy based on the pollutant concentration difference and the evaluation value of the fuel equipment includes: ranking the fuel equipment in descending order according to the evaluation value of the fuel equipment; selecting the fuel equipment based on the ranking order and the pollutant concentration difference, summing the pollutant emission concentrations of the selected fuel equipment to obtain a sum value, and comparing the sum value with the pollutant concentration difference. If the sum value is greater than or equal to the pollutant concentration difference, the selected fuel equipment is determined as the selection strategy.

[0071] In this embodiment, to ensure that pollutant emissions comply with environmental standards, a greedy algorithm-based strategy is employed to determine the selection of alternative equipment. First, the environmental standards for pollutants are clearly defined, serving as the basis for decision-making. Next, the fuel-powered equipment is ranked according to its evaluation value to determine which equipment should be prioritized for replacement. Specifically, all fuel-powered equipment is ranked in descending order of its evaluation value, meaning that equipment with higher evaluation values ​​is prioritized. Then, equipment is selected based on the difference in pollutant concentration. This method prioritizes fuel-powered equipment that offers the best cost-effectiveness after replacement, effectively reducing both pollutant emissions and costs. During the selection process, the pollutant concentrations of the selected fuel-powered equipment are summed to obtain a total value. This sum represents the total pollutant emissions of all selected equipment under the current selection strategy. Next, this sum is compared with the difference in pollutant concentration. If the sum is greater than or equal to the difference in pollutant concentration, it means that our selection strategy has achieved the expected emission reduction effect. Therefore, if the sum meets the condition, the selected fuel-powered equipment can be determined as an effective alternative equipment selection strategy. This approach not only ensures that pollutant emissions comply with environmental standards but also optimizes the equipment replacement process, improving overall environmental efficiency.

[0072] In some embodiments of this application, selecting fuel equipment based on the pollutant concentration difference according to the sorting order includes: if the pollutant concentration difference is greater than or equal to the emission pollutant concentration of the first-ranked fuel equipment, then selecting the first-ranked fuel equipment and obtaining the remaining pollutant concentration difference; comparing the remaining pollutant concentration difference with the emission pollutant concentration of the next-ranked fuel equipment until the remaining pollutant concentration difference is less than the emission pollutant concentration of the next-ranked fuel equipment, and determining the minimum value of the difference between the remaining pollutant concentration difference and the emission pollutant concentration of the remaining-ranked fuel equipment, selecting the fuel equipment corresponding to the minimum value, and generating a fuel equipment replacement selection strategy.

[0073] This embodiment proposes a fuel equipment selection method based on pollutant concentration differences. Specifically, fuel equipment is first selected according to its ranking order. The specific steps are as follows: First, the pollutant concentration emitted by the first-ranked fuel equipment is compared with the pollutant concentration difference. If the pollutant concentration difference is greater than or equal to the pollutant concentration of the first-ranked fuel equipment, then the first-ranked fuel equipment is selected, and the remaining pollutant concentration differences are calculated. Then, the remaining pollutant concentration differences are compared with the pollutant concentrations of the next-ranked fuel equipment. This process continues until the remaining pollutant concentration differences are less than the pollutant concentrations of the next-ranked fuel equipment. Then, the minimum value of the difference between the remaining pollutant concentration differences and the remaining pollutant concentrations of the remaining fuel equipment is determined. Once this minimum value is found, the corresponding fuel equipment is selected. Finally, through the above steps, a fuel equipment selection strategy is generated. This strategy can effectively select the optimal fuel equipment based on the pollutant concentration difference, thereby optimizing the performance and environmental protection of the entire system.

[0074] For example, suppose there are 5 fuel-generating devices, ranked according to their evaluation values ​​as device A, device B, device C, device D, and device E. Their pollutant emission concentrations are 100 ppm, 80 ppm, 72 ppm, 70 ppm, and 50 ppm, respectively.

[0075] The pollutant concentration difference is 245. Following the sorting order, if the pollutant concentration difference is greater than or equal to the pollutant concentration of the first-ranked device (device A), then device A is selected. At this point, the remaining pollutant concentration difference is 145. Comparing 145 with 80, 145 > 80, so device B is selected. The remaining pollutant concentration difference is now 65. Since 65 is less than 72, 65 is compared with the concentrations of devices C, D, and E respectively. The differences are 7, 5, and 15, with the smallest difference being 5. Therefore, device D, corresponding to 5, is selected. The selection strategy for fuel equipment at this point is device A, device B, and device D.

[0076] In some embodiments of this application, such as Figure 2 As shown, the method further includes:

[0077] S6, after replacing the fuel equipment according to the selection strategy, detect the real-time pollutant emission concentration to determine whether the real-time pollutant emission concentration meets the pollutant environmental protection standards.

[0078] In this embodiment, after implementing a selective replacement strategy for fuel-powered equipment, these devices need to be tested to ensure that the concentration of pollutants emitted during operation meets environmental standards. Specifically, the concentration of pollutants emitted by these devices, including but not limited to sulfur dioxide, nitrogen oxides, and particulate matter, is monitored in real time. Real-time monitoring allows for timely understanding of the specific pollutant emissions and comparison with national or local environmental standards. If the test results show that the pollutant emission concentration meets the corresponding environmental standards, the replacement strategy can be considered effective and the equipment operation safe. Conversely, if the pollutant emission concentration exceeds the standard, further analysis of the causes is needed, and corresponding measures should be taken for adjustment or improvement to ensure that the equipment's emissions meet environmental requirements, thereby reducing environmental pollution.

[0079] 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 them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

[0080] The system provided in the above embodiments is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0081] Those skilled in the art will recognize that the modules and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. The programs corresponding to the software modules and method steps can be placed in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art. To clearly illustrate the interchangeability of electronic hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in electronic hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the invention.

Claims

1. An evaluation selection method of a replacement equipment for a fuel equipment based on an evaluation value optimization, characterized by, The method comprises the following steps: According to the annual plan of the enterprise, determine the fuel equipment to be screened, obtain the pollution emission data and cost data of each fuel equipment; Perform data quality evaluation on the pollution emission data and cost data to obtain a data quality score, and reacquire pollution emission data and cost data with a data quality score less than a quality score threshold; Perform preprocessing on the pollution emission data and cost data that have undergone data quality evaluation, determine the emission pollutant concentration of each fuel equipment according to the preprocessed pollution emission data, and determine the economic cost of each fuel equipment according to the preprocessed cost data, including: The preprocessed pollution emission data includes the types of pollutants and the corresponding pollutant concentrations; the emission pollutant concentration is determined according to the following formula: where CP represents the concentration of the emission pollutants of the fuel equipment, n represents the number of the pollutant types, C i represents the emission concentration of the i-th pollutant, Q i represents the influence coefficient of the i-th pollutant; The preprocessed cost data includes the intrinsic value, service life, daily fuel consumption, daily labor cost and other costs of the fuel equipment; the economic cost is determined according to the following formula: Wherein, CE represents the economic cost of the fuel equipment, CO represents the self value of the fuel equipment, C T represents other costs, T represents the service life, C y represents the fuel unit price, V y represents the daily fuel consumption, C w represents the daily labor cost; Determine the evaluation value of each fuel equipment according to the emission pollutant concentration and economic cost of each fuel equipment, including: the evaluation value is the ratio between the emission pollutant concentration and the economic cost of each fuel equipment, and the evaluation value is set as A value, i.e. A = CP / CE; Determine the pollutant environmental protection standard, and determine the selection strategy of fuel equipment replacement based on the greedy algorithm according to the pollutant environmental protection standard and the evaluation value of the fuel equipment, including: Obtain the comprehensive emission pollutant concentration of the current fuel equipment, and compare the comprehensive emission pollutant concentration with the standard pollutant concentration in the pollutant environmental protection standard; If the comprehensive emission pollutant concentration is greater than the standard pollutant concentration, determine the pollutant concentration difference between the comprehensive emission pollutant concentration and the standard pollutant concentration, and determine the selection strategy of fuel equipment replacement according to the pollutant concentration difference and the evaluation value of the fuel equipment, including: the fuel equipment is sorted in descending order according to the evaluation value; based on the order of sorting, the fuel equipment is selected according to the pollutant concentration difference, and the emission pollutant concentrations of the selected fuel equipment are summed to obtain a sum value, and the sum value is compared with the pollutant concentration difference; if the sum value is greater than or equal to the pollutant concentration difference, the selected fuel equipment is determined as the selection strategy; If the comprehensive emission pollutant concentration is less than or equal to the standard pollutant concentration, the fuel equipment is not replaced.

2. The method according to claim 1, wherein Perform data quality evaluation on the pollution emission data and cost data to obtain a data quality score, including: Create multiple dimensions of data quality evaluation and their corresponding evaluation indexes; According to the evaluation indexes, score the pollution emission data and cost data in each dimension, and obtain the data quality score corresponding to the pollution emission data and cost data of each fuel equipment; Compare the data quality score with a quality score threshold; if the data quality score is greater than or equal to the quality score threshold, it is determined that the pollution emission data and cost data corresponding to the data quality score meet the requirements; If the data quality score is less than the quality score threshold, it is determined that the pollution emission data and cost data corresponding to the data quality score do not meet the requirements and need to be reacquired.

3. The method according to claim 2, wherein the method is characterized by, The dimensions include integrity, standardization, accuracy, uniqueness and timeliness. The evaluation indexes include completeness rate index, standardization rate index, accuracy rate index, repetition rate index and timeliness rate index.

4. The method according to claim 1, wherein Based on the sorted order, the fuel equipment is selected according to the pollutant concentration difference, including: If the pollutant concentration difference is greater than or equal to the emission pollutant concentration of the fuel equipment at the first rank, the fuel equipment at the first rank is selected, and the remaining pollutant concentration difference is obtained; The remaining pollutant concentration difference is compared with the emission pollutant concentration of the fuel equipment at the next rank until the remaining pollutant concentration difference is less than the emission pollutant concentration of the fuel equipment at the next rank, and the minimum value of the difference between the remaining pollutant concentration difference and the emission pollutant concentration of the fuel equipment at the remaining rank is determined, the fuel equipment corresponding to the minimum value is selected, and a selection strategy for replacing the fuel equipment is generated.

5. The method according to claim 4, wherein the evaluation selection method of the alternative equipment of the fuel equipment based on the evaluation value optimization is characterized by, The method further includes detecting the real-time pollutant emission concentration after replacing the fuel equipment according to the selection strategy, and determining whether the real-time pollutant emission concentration meets the pollutant environmental protection standard.

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