Evaluation value optimization-based evaluation selection method for fuel oil equipment replacement equipment

Abstract

The invention relates to the field of fuel oil equipment substitution evaluation, and discloses a fuel oil equipment substitution equipment evaluation selection method based on evaluation value optimization, and the method comprises the steps: obtaining the pollution discharge data and cost data of each fuel oil equipment; performing data quality evaluation on the pollution emission data and the cost data; the pollution emission data and the cost data subjected to data quality evaluation are preprocessed, and the emission pollutant concentration and the economic cost of each fuel oil device are determined according to the preprocessed pollution emission data and the cost data; determining an evaluation value of each fuel oil device, wherein the evaluation value is a ratio of the emission pollutant concentration to the economic cost; and determining a pollutant environmental protection standard, and based on a greedy algorithm, determining a selection strategy of the fuel oil equipment according to the pollutant environmental protection standard and the evaluation value of the fuel oil equipment. According to the method, a scientific, objective and comprehensive evaluation basis can be provided for a user when the user selects alternative fuel oil equipment, and the fuel oil equipment can be promoted to develop in a more efficient and more environment-friendly direction.

Description

Technical Field

[0001] The present invention relates to the technical field of fuel equipment replacement evaluation, and in particular to a method for evaluating and selecting fuel equipment replacement equipment based on evaluation value optimization. Background Art

[0002] As the demand for environmental protection and energy conservation increases, fuel equipment replacement becomes more and more important in modern society. Traditional fuel equipment usually produces a large amount of pollutants such as carbon dioxide, sulfide and nitrogen oxides, which cause serious pollution to the environment. In addition, with the increasing depletion of fossil fuels, it is particularly urgent to find more efficient and environmentally friendly alternative equipment.

[0003] However, the choice of alternative fuel equipment is not easy. In different environments, configurations, and requirements, different fuel equipment can bring different benefits. The selection of traditional alternative fuel equipment is based on rough manual judgment, which is subjective and the judgment results are not accurate. Therefore, how to evaluate and select alternative fuel equipment has become an urgent problem to be solved. Summary of the invention

[0004] The purpose of the present invention is to provide a method for evaluating and selecting alternative equipment to fuel equipment based on evaluation value optimization, aiming to solve the above-mentioned problems.

[0005] The present invention provides a method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization, comprising:

[0006] According to the company's annual plan, determine the fuel equipment to be screened and obtain the pollution emission data and cost data of each fuel equipment;

[0007] Performing data quality evaluation on the pollution emission data and cost data to obtain a data quality score, and re-obtaining the pollution emission data and cost data whose data quality score is less than a quality score threshold;

[0008] Pre-process the pollution emission data and cost data that have undergone data quality evaluation, determine the emission pollutant concentration of each fuel equipment based on the pre-processed pollution emission data, and determine the economic cost of each fuel equipment based on the pre-processed cost data;

[0009] Determine the evaluation value of each fuel equipment based on the emission pollutant concentration and economic cost of each fuel equipment;

[0010] The pollutant environmental protection standard is determined, and based on the greedy algorithm, the selection strategy for replacing the fuel equipment is determined according to the pollutant environmental protection standard and the evaluation value of the fuel equipment.

[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 of data quality evaluation and their corresponding evaluation indicators;

[0013] Scoring the pollution emission data and cost data in various dimensions according to the evaluation indicators, and obtaining the data quality scores corresponding to the pollution emission data and cost data of each fuel equipment;

[0014] Comparing the data quality score with the quality score threshold, if the data quality score is greater than or equal to the quality score threshold, determining that the pollution emission data and cost data corresponding to the data quality score 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 re-acquired.

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

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

[0018] Preferably, determining the concentration of pollutants emitted by each fuel device according to the pre-processed pollution emission data includes:

[0019] The pre-processed pollution emission data includes pollutant types and corresponding pollutant concentrations;

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

[0021]

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

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

[0024] The pre-processed cost data includes the fuel equipment's own value, service life, daily fuel consumption, daily labor cost and other costs;

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

[0026]

[0027] Among them, CE represents the economic cost of fuel equipment, C0 represents the intrinsic value of fuel equipment, and C T represents other costs, T represents the useful life, C y Indicates the unit price of fuel, V y Indicates daily fuel consumption, C w Represents daily labor cost.

[0028] Preferably, the evaluation value of each fuel equipment is determined according to the emission pollutant concentration and economic cost of each fuel equipment, including:

[0029] The evaluation value is the ratio between the concentration of the discharged pollutants of each fuel equipment and the economic cost, and the evaluation value is set to be A value, that is, A=CP / CE.

[0030] Preferably, determining the pollutant environmental standards, and determining the fuel equipment replacement selection strategy based on the greedy algorithm according to the pollutant environmental standards and the evaluation value of the fuel equipment, further includes:

[0031] Obtaining the comprehensive pollutant concentration of the current fuel equipment, and comparing the comprehensive pollutant concentration with the standard pollutant concentration in the pollutant environmental protection standard;

[0032] If the comprehensive emission pollutant concentration is greater than the standard pollutant concentration, then determining the pollutant concentration difference between the comprehensive emission pollutant concentration and the standard pollutant concentration, and determining a fuel equipment replacement selection strategy based on the pollutant concentration difference and the evaluation value of the fuel equipment;

[0033] If the comprehensive emission pollutant concentration is less than or equal to the standard pollutant concentration, the fuel equipment will not be replaced.

[0034] Preferably, the selection strategy for fuel equipment replacement is determined according to the pollutant concentration difference and the evaluation value of the fuel equipment, including:

[0035] The fuel equipment is sorted in descending order according to the evaluation value of the fuel equipment;

[0036] Based on the order of the 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 to be the selection strategy.

[0037] Preferably, based on the order of the sorting, the fuel equipment is selected according to the pollutant concentration difference, including:

[0038] If the pollutant concentration difference is greater than or equal to the emission pollutant concentration of the first-ranked fuel equipment, 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 ranking fuel equipment until the remaining pollutant concentration difference is less than the emission pollutant concentration of the next ranking fuel equipment, and the minimum value of the difference between the remaining pollutant concentration difference and the emission pollutant concentration of the remaining ranking fuel equipment is determined, and the fuel equipment corresponding to the minimum value is selected to generate a selection strategy for fuel equipment replacement.

[0040] Preferably, the method further comprises: 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 reaches the pollutant environmental protection standard.

[0041] Compared with the prior art, the beneficial effect of the present invention is that the evaluation and selection method of fuel equipment replacement equipment based on evaluation value optimization proposed by the present invention can provide users with scientific, objective and comprehensive evaluation basis when selecting alternative fuel equipment, which is helpful to promote the development of fuel equipment in a more efficient and environmentally friendly direction. The present invention obtains and analyzes pollution emission data and cost data, evaluates the quality of data and re-acquires data, ensures the accuracy and reliability of data, comprehensively considers the concentration of pollutants and economic costs, and can comprehensively measure the performance and benefits of equipment. The evaluation value of each fuel equipment is calculated to provide a clear quantitative indicator for selecting alternative equipment. Combining pollutant environmental standards and evaluation values ​​with a greedy algorithm helps to achieve a balance between environmental protection requirements and economic costs, and find the optimal strategy for selecting alternative equipment. It helps to promote the upgrading of fuel equipment, reduce environmental pollution, and promote sustainable development. It provides a scientific basis for relevant decisions and improves the accuracy and rationality of decisions. The method is applicable to different types of fuel equipment and has wide applicability and scalability. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0043] Figure 1 This is one of the flow charts of a method for evaluating and selecting alternative equipment to fuel equipment based on evaluation value optimization of the present invention.

[0044] Figure 2This is the second flow chart of a method for evaluating and selecting alternative equipment to fuel equipment based on evaluation value optimization according to the present invention. DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0046] like Figure 1 As shown, the present invention provides a method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization, comprising:

[0047] S1. According to the company's annual plan, determine the fuel equipment to be screened and obtain the pollution emission data and cost data of each fuel equipment.

[0048] S2, performing data quality evaluation on the pollution emission data and cost data to obtain a data quality score, and re-obtaining the pollution emission data and cost data whose data quality score is less than a quality score threshold.

[0049] S3, pre-processing the pollution emission data and cost data that have undergone data quality evaluation, determining the emission pollutant concentration of each fuel equipment based on the pre-processed pollution emission data, and determining the economic cost of each fuel equipment based on the pre-processed cost data.

[0050] S4, determining an evaluation value of each fuel equipment according to the emission pollutant concentration and economic cost of each fuel equipment.

[0051] S5, determining the environmental standards for pollutants, and determining a selection strategy for replacing fuel equipment based on a greedy algorithm according to the environmental standards for pollutants and the evaluation values ​​of the fuel equipment.

[0052] In step S1, the annual plan of the enterprise includes the pollutant emission standards that the enterprise needs to meet in the current year, and provides alternative fuel equipment to be replaced. These alternative equipment should meet the specified environmental protection standards. After the fuel equipment to be screened is determined, the detailed pollution emission data and cost data of these equipment are collected for subsequent evaluation and selection.

[0053] In some embodiments of the present application, a 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 in 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 equipment; 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, determining 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, determining that the pollution emission data and cost data corresponding to the data quality score do not meet the requirements and need to be reacquired.

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

[0055] In this embodiment, in order to ensure the accuracy and reliability of the pollution emission data and cost data, it is necessary to first conduct a detailed data quality evaluation on these data. First, create multiple dimensions for data quality evaluation, and set corresponding evaluation indicators for each dimension. These dimensions may include data integrity, standardization, accuracy, uniqueness, and timeliness. For example, data integrity can be measured by the missing rate of data items; data standardization can be evaluated by the consistency of data format; data accuracy can be evaluated by the degree of difference between data and actual measured values; data uniqueness can be measured by the number of repeated data items; data timeliness can be evaluated by the frequency and time difference of data updates. Next, the pollution emission data and cost data are scored in each dimension according to the evaluation indicators set above. Each data item will get a score in each dimension, and finally the data quality score corresponding to the pollution emission data and cost data of each fuel equipment is obtained by weighted average or other statistical methods. This score reflects the comprehensive performance of the data in each dimension. Then, the obtained data quality score is compared with the 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 data quality score of a certain pollution emission data or cost data is greater than or equal to the quality score threshold, it can be determined that the quality of this data meets the requirements and can be used for further analysis and decision-making. On the contrary, if the quality score of a certain data is less than the quality score threshold, it can be judged that the quality of this data does not meet the requirements and the corresponding data needs to be re-acquired or supplemented. Through such a data quality evaluation process, the reliability of pollution emission data and cost data can be ensured, thereby providing solid data support for subsequent environmental management and cost control. This not only helps to improve the scientificity and accuracy of decision-making, but also effectively avoids potential risks and losses caused by data quality problems. The construction of quality score thresholds can be assisted by statistical methods to determine the thresholds. For example, statistical indicators such as mean, median or mode can be used as reference points. Alternatively, it is a common practice to use the threshold table in the scorecard instance to determine the threshold. By statistically analyzing the impact of different scoring thresholds on the effect, a threshold table can be made, and then the threshold range can be narrowed according to the key information in the table, and finally a scoring threshold suitable for current needs is determined. Finally, thresholds can also be artificially defined based on goals and historical experience. If there is a clear goal or sufficient experience, a reasonable threshold can be set directly. Determining the data quality score threshold is a process that comprehensively considers statistical analysis, needs, and historical experience. In actual operations, it may be necessary to combine multiple methods and principles to ensure the rationality and effectiveness of the threshold.

[0056] In some embodiments of the present application, preprocessing includes standardization, missing value processing, deduplication processing and outlier processing. Standardization is to eliminate the impact of different dimensions and make the data comparable. Common standardization methods include minimum-maximum standardization and Z-score standardization. Missing value processing involves filling or deleting missing data. Common filling methods include mean filling, median filling and mode filling. Deduplication processing is to ensure that the data set does not contain duplicate records, thereby improving data quality. Outlier processing is to identify and process outliers in the data. Common outlier detection methods include box plot method, Z-score method and IQR method.

[0057] In some embodiments of the present application, determining the concentration of pollutants emitted by each fuel device according to the pre-processed pollution emission data includes: the pre-processed pollution emission data includes the type of pollutants and the corresponding pollutant concentration;

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

[0059]

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

[0061] In this embodiment, the pollutants emitted by the fuel equipment include PM2.5, PM10, SO2, NO2, CO and O3. Based on the pre-processing of the pollution emission data, the concentration of the pollutants emitted by each fuel equipment can be further determined. This process involves a 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, it can be ensured that the concentration of pollutants emitted by each fuel equipment is scientifically and accurately evaluated, thereby providing strong data support for environmental protection and pollution control.

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

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

[0064]

[0065] Among them, CE represents the economic cost of fuel equipment, C0 represents the intrinsic value of fuel equipment, and C Trepresents other costs, T represents the useful life, C y Indicates the unit price of fuel, V y Indicates daily fuel consumption, C w Represents daily labor cost.

[0066] In this embodiment, after the pre-processing steps are performed, the economic cost of each fuel equipment can be accurately calculated. This process involves an in-depth analysis of the cost data to ensure that we can fully understand the cost structure of each fuel equipment. Specifically, these cost data include the value of the fuel equipment itself, the service life, the daily fuel consumption, the daily labor cost and other related costs. First, the value of the fuel equipment itself refers to the amount of money spent on purchasing the equipment, which usually reflects the initial investment cost of the equipment. Secondly, the service life refers to the time span from the equipment being put into use to being scrapped, which helps us evaluate the depreciation of the equipment. Daily fuel consumption refers to the amount of fuel consumed by the equipment in one day, which is a key factor in calculating the fuel cost. Daily labor cost involves the labor cost required to operate and maintain the equipment, including wages, benefits and other related expenses. Finally, other costs may include repair costs, maintenance costs, insurance costs, etc., which will affect the overall economic cost of the equipment. Through the comprehensive analysis of these cost data, the economic cost of each fuel equipment can be obtained, thereby providing strong support for the management and decision-making of the equipment.

[0067] In some embodiments of the present application, the evaluation value of each fuel equipment is determined based on the emission pollutant concentration and economic cost of each fuel equipment, including: the evaluation value is the ratio between the emission pollutant concentration of each fuel equipment and the economic cost, and the evaluation value is set to A value, that is, A=CP / CE.

[0068] In this embodiment, the evaluation value is obtained by comparing the concentration of pollutants emitted by each fuel equipment with its economic cost. Specifically, the calculation formula of the evaluation value is A=CP / CE, where CP represents the concentration of pollutants emitted and CE represents the economic cost. In this way, the performance of each fuel equipment in terms of both environment and economy can be quantified, and the higher the evaluation value, the more cost-effective it is to replace this fuel equipment.

[0069] In some embodiments of the present application, a pollutant environmental standard is determined, and based on a greedy algorithm, a selection strategy for replacing fuel equipment is determined according to the pollutant environmental standard and the evaluation value of the fuel equipment, and also includes: obtaining the comprehensive emission pollutant concentration of the current fuel equipment, and comparing the comprehensive emission pollutant concentration with the standard pollutant concentration in the pollutant environmental standard; 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 the 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 not replacing the fuel equipment.

[0070] In some embodiments of the present application, a selection strategy for fuel equipment replacement is determined based on the pollutant concentration difference and the evaluation value of the fuel equipment, including: sorting the fuel equipment in descending order according to the evaluation value of the fuel equipment; based on the order of the sorting, selecting the fuel equipment according to the pollutant concentration difference, and summing the emission pollutant 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, determining that the selected fuel equipment is the selection strategy.

[0071] In this embodiment, in order to ensure that the pollutant emissions meet the environmental protection standards, a strategy based on a greedy algorithm is used to determine the selection of alternative equipment. First, the environmental protection standards of the pollutants are clarified, and these standards will serve as the basis for decision-making. Next, the fuel equipment is sorted according to its evaluation value to determine which equipment needs to be replaced first. Specifically, all fuel equipment is sorted in descending order according to its evaluation value, which means that the equipment with a higher evaluation value will be ranked first. Then, the equipment is selected according to the difference in pollutant concentration. In this way, we can give priority to those fuel equipment that are more cost-effective after replacement, which can effectively reduce pollutant emissions and reduce costs. In the selection process, the emission pollutant concentrations of the selected fuel equipment are summed to obtain a total value. This sum represents the total amount of 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 conditions, it can be determined that the selected fuel equipment is an effective alternative equipment selection strategy. In this way, not only is it ensured that the pollutant emissions meet the environmental protection standards, but also the equipment replacement process is optimized and the overall environmental protection efficiency is improved.

[0072] In some embodiments of the present application, based on the order of the sorting, 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 first-ranked fuel equipment, the first-ranked fuel equipment is selected and the remaining pollutant concentration difference is obtained; 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, and 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, the fuel equipment corresponding to the minimum value is selected, and a fuel equipment replacement selection strategy is generated.

[0073] In this embodiment, a method for selecting fuel equipment based on pollutant concentration difference is proposed. Specifically, the fuel equipment is first selected according to the sorting order of the fuel equipment. The specific steps are as follows: First, compare the emission pollutant concentration of the first-ranked fuel equipment with the pollutant concentration difference. If the pollutant concentration difference is greater than or equal to the emission pollutant concentration of the first-ranked fuel equipment, then we select the first-ranked fuel equipment and calculate the remaining pollutant concentration difference. Then, compare the remaining pollutant concentration difference with the emission pollutant concentration of the next-ranked fuel equipment. This process will continue until the remaining pollutant concentration difference is less than the emission pollutant concentration of the next-ranked fuel equipment. Then, determine the minimum value of the difference between the remaining pollutant concentration difference and the emission pollutant concentration of the remaining-ranked fuel equipment. Once this minimum value is found, we select the corresponding fuel equipment. 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 effect of the entire system.

[0074] For example, suppose there are 5 fuel-burning devices, which are sorted according to the evaluation values ​​into device A, device B, device C, device D and device E. Their emission pollutant concentrations are 100ppm, 80ppm, 72ppm, 70ppm and 50ppm.

[0075] The difference in pollutant concentration is 245. According to the sorting order, if the difference in pollutant concentration is greater than or equal to the concentration of the first-ranked (device A), then select device A. At this time, the difference in the remaining pollutant concentration is 145. Compare 145 with 80. If 145>80, then select device B. At this time, the difference in the remaining pollutant concentration is 65; 65 is less than 72, then compare 65 with the concentrations of devices C, D and E respectively, and the difference is 7, 5, and 15. The smallest difference is 5, so select device D corresponding to 5. At this time, the selection strategy for fuel equipment is device A, device B and device D.

[0076] In some embodiments of the present application, Figure 2 As shown, the method also includes:

[0077] S6, 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 reaches the pollutant environmental protection standard.

[0078] In this embodiment, after the selective substitution strategy for fuel equipment is implemented, these equipment need to be tested to ensure that the concentration of pollutants they emit during operation meets environmental protection standards. Specifically, the concentration of pollutants emitted by these equipment is monitored in real time, including but not limited to harmful substances such as sulfur dioxide, nitrogen oxides, and particulate matter. Through real-time monitoring, the specific situation of pollutant emissions can be timely understood and compared with national or local environmental protection standards. If the test results show that the pollutant emission concentration has reached the corresponding environmental protection standard, then it can be considered that the substitution strategy is effective and the equipment operation is safe. On the contrary, if the pollutant emission concentration exceeds the standard, it is necessary to further analyze the cause and take corresponding measures to adjust or improve it to ensure that the equipment's emissions meet environmental protection requirements, thereby reducing pollution to the environment.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical solution of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical solution to deviate from the spirit and scope of the technical solution of the present invention.

[0080] The system provided in the above embodiment 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 decomposed or combined. For example, the modules in the above embodiment can be combined 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 modules or steps, and are not regarded as improper limitations of the present invention.

[0081] Those skilled in the art should be able to appreciate that the modules and method steps of each example described in conjunction with the embodiments disclosed herein can be implemented with electronic hardware, computer software or a combination of the two, and the programs corresponding to the software modules and method steps can be placed in random access memory (RAM), 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 technical field. In order to clearly illustrate the interchangeability of electronic hardware and software, the composition and steps of each example have been generally described in the above description according to the function. Whether these functions are performed 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 to exceed the scope of the present invention.

Claims

1. A method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization, characterized in that: include: According to the company's annual plan, determine the fuel equipment to be screened and obtain the pollution emission data and cost data of each fuel equipment; Performing data quality evaluation on the pollution emission data and cost data to obtain a data quality score, and re-obtaining the pollution emission data and cost data whose data quality score is less than a quality score threshold; Pre-process the pollution emission data and cost data that have undergone data quality evaluation, determine the emission pollutant concentration of each fuel equipment based on the pre-processed pollution emission data, and determine the economic cost of each fuel equipment based on the pre-processed cost data; Determine the evaluation value of each fuel equipment based on the emission pollutant concentration and economic cost of each fuel equipment; The pollutant environmental protection standard is determined, and based on the greedy algorithm, the selection strategy for replacing the fuel equipment is determined according to the pollutant environmental protection standard and the evaluation value of the fuel equipment.

2. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 1 is characterized in that: Perform data quality evaluation on the pollution emission data and cost data to obtain data quality scores, including: Create multiple dimensions of data quality evaluation and their corresponding evaluation indicators; Scoring the pollution emission data and cost data in various dimensions according to the evaluation indicators, and obtaining the data quality scores corresponding to the pollution emission data and cost data of each fuel equipment; Comparing the data quality score with the quality score threshold, if the data quality score is greater than or equal to the quality score threshold, determining 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.

3. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 2 is characterized in that: The dimensions include: completeness, standardization, accuracy, uniqueness and timeliness; The evaluation indicators include: completeness rate indicator, standardization rate indicator, accuracy rate indicator, repetition rate indicator and timeliness rate indicator.

4. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 3 is characterized in that: Determine the pollutant concentration of each fuel equipment based on the pre-processed pollution emission data, including: The pre-processed pollution emission data includes pollutant types and corresponding pollutant concentrations; The concentration of the discharged pollutants is determined according to the following formula: Where CP represents the concentration of pollutants emitted by fuel equipment, n represents the number of pollutant types, and C i represents the emission concentration of the i-th pollutant, Q i Represents the impact coefficient of the i-th pollutant.

5. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 4 is characterized in that: Determine the economic cost of each fuel equipment based on the pre-processed cost data, including: The pre-processed cost data includes the fuel equipment's own value, service life, daily fuel consumption, daily labor cost and other costs; The economic cost is determined according to the following formula: Among them, CE represents the economic cost of fuel equipment, C0 represents the intrinsic value of fuel equipment, and C T represents other costs, T represents the useful life, C y Indicates the unit price of fuel, V y Indicates daily fuel consumption, C w Represents daily labor cost.

6. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 5 is characterized in that: The evaluation value of each fuel equipment is determined based on the emission pollutant concentration and economic cost of each fuel equipment, including: The evaluation value is the ratio between the emission pollutant concentration of each fuel equipment and the economic cost, and the evaluation value is set to be A value, that is, A=CP / CE.

7. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 6 is characterized in that: Determine the pollutant environmental standards, and based on the greedy algorithm, determine the selection strategy for fuel equipment replacement according to the pollutant environmental standards and the evaluation value of the fuel equipment, including: Obtaining the comprehensive pollutant concentration of the current fuel equipment, and comparing the comprehensive 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, then determining the pollutant concentration difference between the comprehensive emission pollutant concentration and the standard pollutant concentration, and determining a fuel equipment replacement selection strategy based on 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, the fuel equipment will not be replaced.

8. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 7 is characterized in that: The selection strategy for fuel equipment replacement is determined 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 of the fuel equipment; Based on the order of the 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 to be the selection strategy.

9. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 8 is characterized in that: Based on the order of the sorting, the fuel equipment is selected according to the difference in pollutant concentration, including: If the pollutant concentration difference is greater than or equal to the emission pollutant concentration of the first-ranked fuel equipment, the first-ranked fuel equipment is selected and the remaining pollutant concentration difference is obtained; The remaining pollutant concentration difference is compared with the emission pollutant concentration of the next ranking fuel equipment until the remaining pollutant concentration difference is less than the emission pollutant concentration of the next ranking fuel equipment, and the minimum value of the difference between the remaining pollutant concentration difference and the emission pollutant concentration of the remaining ranking fuel equipment is determined, and the fuel equipment corresponding to the minimum value is selected to generate a selection strategy for fuel equipment replacement.

10. The method for evaluating and selecting alternative equipment for fuel equipment based on evaluation value optimization according to claim 9, characterized in that: 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 reaches the pollutant environmental protection standard.

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