A method and system for comparing and selecting mine transportation equipment, and a computer

Abstract

The present application relates to the technical field of mine equipment, and provides a comparison and selection method and system of mine transportation equipment and a computer, the comparison and selection method of mine transportation equipment comprises: obtaining a mine data set, determining the load level of the transportation equipment; determining a transportation operation parameter set; setting a plurality of evaluation criteria, and associating a plurality of comparison indexes with each evaluation criterion; calculating the index score of each to-be-evaluated equipment under each comparison index; constructing a plurality of judgment matrices to calculate the criterion layer weight according to the plurality of judgment matrices, and calculating the comprehensive score of the to-be-evaluated equipment; calculating the full life cycle cost and energy recovery benefit of each to-be-evaluated equipment to obtain the selection result of the transportation equipment. By using the above method, multi-dimensional quantitative evaluation of mine transportation equipment is realized based on actual working conditions.

Description

Technical Field

[0001] This invention relates to the field of mining equipment technology, and in particular to a method, system and computer for comparing and selecting mining transportation equipment. Background Technology

[0002] As the mining industry transforms towards green and intelligent practices, the selection of transportation equipment, as a key link in mine production, directly affects the mine's economic benefits, energy consumption levels, and environmental performance.

[0003] In existing solutions, the selection process for equipment typically involves performance and cost assessments. For example, Chinese patent CN121189668A discloses a full life-cycle performance and cost assessment system, which is mainly limited to the economic dimension and lacks a system for integrated weighted evaluation of multiple dimensions such as technology, environmental protection, and energy consumption. In actual decision-making, equipment selection methods are characterized by decentralization and specialization. Evaluations should not only be conducted from an economic perspective but also require specific analysis of particular issues such as the specific usage scenario, equipment characteristics, and equipment performance.

[0004] Existing experience-based decision-making in mine transportation equipment selection often relies on single economic indicators, focusing on economic efficiency while neglecting key factors such as technological adaptability, environmental performance, and energy efficiency. In particular, under the goal of green development, it is impossible to quantitatively assess environmental constraints. At the same time, traditional methods have weak capabilities in assessing new energy equipment and are not comprehensive enough in analyzing the full life cycle cost of equipment. They often overlook important items such as equipment replacement costs and policy compliance costs. Furthermore, the assessment and decision-making process is highly dependent on experience and subjective, making it difficult to form an objective and unified quantitative assessment system. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the present invention aims to provide a method, system, and computer for comparing and selecting mining transportation equipment. This invention seeks to solve the technical problems in existing technologies, such as the lack of multi-dimensional factor evaluation in the selection of mining transportation equipment, weak evaluation capabilities for new energy equipment, and the difficulty in quantifying and objectively standardizing the evaluation process.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solution: A method for selecting mining transportation equipment includes the following steps: Obtain a mining area dataset, which includes transportation volume data, transportation distance data, and terrain data. Based on the mining area dataset, determine the load capacity level of the transportation equipment. Based on the mining area dataset and the load level, a set of transportation operation parameters is determined; Several evaluation criteria are set, and several comparison indicators are associated with each evaluation criterion; Obtain a number of devices to be evaluated corresponding to the load level, and calculate the index score of each device to be evaluated under each of the comparison indicators based on the number of comparison indicators. Based on several evaluation criteria, several judgment matrices are constructed to calculate several criterion layer weights corresponding to several evaluation criteria according to the several judgment matrices, and to calculate the comprehensive score of each device to be evaluated according to the several criterion layer weights and several index scores. The total life cycle cost and energy recovery benefits of each of the aforementioned devices to be evaluated are calculated. Based on several comprehensive scores, several total life cycle costs, and several energy recovery benefits, the selection result of the transportation equipment is obtained.

[0007] Furthermore, the transportation operation parameter set includes the number of equipment configurations, loading time, loaded vehicle operating speed, empty vehicle operating speed, unloading time, and effective shift operating time.

[0008] Furthermore, the step of calculating the index score of each device to be evaluated under each of the several comparison indicators includes: Based on the comparison criteria, obtain several criterion data for several of the devices to be evaluated; The maximum and minimum data are determined from a plurality of indicator data. Based on the maximum data, the minimum data, and the indicator data, the indicator score corresponding to the indicator data is calculated to obtain the indicator score of each device to be evaluated under each of the comparison indicators.

[0009] Furthermore, the number of evaluation criteria is 'a', and the step of constructing several judgment matrices based on several evaluation criteria includes: Based on several evaluation criteria, construct several a*a matrix frameworks; Obtain several comparison results of several experts on the importance of several evaluation criteria, and based on the comparison results, fill in several importance scores into the matrix framework to form a judgment matrix.

[0010] Furthermore, the step of calculating the weights of several criterion layers corresponding to several evaluation criteria based on several judgment matrices includes: Calculate the maximum eigenvalue and eigenvector of the judgment matrix, and normalize the eigenvector to obtain the criterion layer weight vector; Obtain a consistency ratio threshold, calculate a consistency ratio based on several criterion layer weight vectors, and compare the consistency ratio threshold and the consistency ratio to determine whether several criterion layer weight vectors pass the consistency test. If several of the criterion layer weight vectors pass the consistency test, then several criterion layer weights are obtained based on the several criterion layer weight vectors, and the several criterion layer weights correspond one-to-one with the several evaluation criteria.

[0011] Furthermore, the step of calculating the total life cycle cost and energy recovery benefits of each of the devices to be evaluated includes: Determine whether the equipment to be evaluated is a fuel-powered device. If the equipment to be evaluated is a fuel-powered device, obtain the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first total life cycle of the equipment to be evaluated. Calculate the present value of the first expense based on the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first total life cycle, and establish the present value of the first expense as the total life cycle cost. If the equipment to be evaluated is a non-fuel-powered device, then the following are obtained: battery swapping life, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total lifespan of the equipment to be evaluated. Based on the battery swapping life, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total lifespan, the present value of the second expense is calculated, and the present value of the second expense is established as the total lifespan cost. Elevation difference and path coefficient are extracted from the terrain data, and vehicle weight and energy recovery system efficiency are obtained based on the device to be evaluated, so as to calculate the energy recovered during a single downhill run based on the elevation difference, the path coefficient, the vehicle weight and the energy recovery system efficiency. Based on the transport volume data, the transport distance data, and the transport operation parameter set, the average number of daily transport cycles is obtained. Based on the energy recovered per downhill run, the number of equipment configured, and the average number of daily transport cycles, the energy recovery benefit is calculated.

[0012] Furthermore, the formula for the present value of the first expense is:

[0013] in, Represents the present value of the first expense. Indicates the first initial investment. Indicates the current number of years of use. Indicates the first full life cycle period. This indicates the operating costs for the first year. This indicates the first maintenance cost. Indicates the first energy cost, Indicates the first discount rate; The formula for the present value of the second cost is:

[0014] in, This represents the present value of the second expense. Indicates the second initial investment. Indicates the second full life cycle period. This indicates the second operating cost. This indicates the second maintenance cost. Indicates the second energy cost, This represents the second discount rate. Indicates the cost of battery swapping. Indicates the battery swapping lifespan.

[0015] A selection system for mining transportation equipment, employing the selection method for mining transportation equipment as described in the above technical solution, the system comprising: The acquisition module is used to acquire a mining area dataset, which includes transportation volume data, transportation distance data, and terrain data. Based on the mining area dataset, the load capacity level of the transportation equipment is determined. The determination module is used to determine the set of transportation operation parameters based on the mining area dataset and the load level; The setting module is used to set several evaluation criteria and associate several comparison indicators with each evaluation criterion; The scoring module is used to acquire a number of devices to be evaluated corresponding to the load level, and calculate the index score of each device to be evaluated under each of the comparison indicators based on the number of comparison indicators. The calculation module is used to construct several judgment matrices based on several evaluation criteria, to calculate several criterion layer weights corresponding to several evaluation criteria according to the several judgment matrices, and to calculate the comprehensive score of each of the devices to be evaluated according to the several criterion layer weights and several index scores. A selected module is used to calculate the total life cycle cost and energy recovery benefits of each of the aforementioned devices to be evaluated. Based on several comprehensive scores, several total life cycle costs, and several energy recovery benefits, the selection result of the transportation equipment is obtained.

[0016] A computer includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the method for comparing and selecting mining transportation equipment as described in the above technical solution.

[0017] Compared with existing technologies, the beneficial effects of this invention are as follows: By acquiring the mining area dataset, the specific conditions of the mine are clarified, thereby quantitatively analyzing the specific transportation conditions and further clarifying the transportation operation parameter set; by constructing multi-dimensional evaluation criteria and establishing specific indicators for each evaluation criterion, it is possible to analyze the specific data of different schemes used by the equipment to be evaluated under different indicators based on the specific indicators and combined with existing quantitative data; by uniformly quantifying the data of multiple schemes for different indicator items, several indicator scores are obtained, which can intuitively quantify the specific performance of each equipment scheme under a certain indicator and facilitate comparison with the scores of other schemes; the judgment matrix is ​​constructed through the multi-dimensional evaluation criteria and the opinions of multiple experts, and The weight vectors are converted into criterion layer weight vectors. After consistency verification, the subjectivity of the evaluation process for the importance of different criteria and the dependence on specific personnel are greatly reduced. The opinions of multiple experts are integrated and unified through mathematical methods to obtain the corresponding weight of each evaluation criterion. This helps to clarify the importance of different evaluation criteria in equipment selection and realize intuitive and quantifiable multi-dimensional equipment selection through data. By calculating the full life cycle cost of equipment using different methods for different energy types, the battery swapping cost of the equipment is fully considered, resulting in a more comprehensive full life cycle cost result. Combined with energy recovery benefits, this improves the evaluation capability of new energy equipment and is beneficial to the green transformation of the industry. Attached Figure Description

[0018] Figure 1 This is a flowchart of the method for comparing and selecting mining transportation equipment in the first embodiment of the present invention; Figure 2 This is a structural block diagram of the selection system for mining transportation equipment in the second embodiment of the present invention; The following detailed description, in conjunction with the accompanying drawings, will further illustrate the present invention. Detailed Implementation

[0019] To facilitate understanding of the present invention, a more complete description will be given below with reference to the accompanying drawings. Several embodiments of the invention are illustrated in the drawings. However, the invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.

[0020] It should be noted that when a component is said to be "fixed to" another component, it can be directly on the other component or there may be an intervening component. When a component is said to be "connected to" another component, it can be directly connected to the other component or there may be an intervening component. The terms "vertical," "horizontal," "left," "right," and similar expressions used in this document are for illustrative purposes only.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0022] Please see Figure 1 The method for selecting mining transportation equipment in the first embodiment of the present invention includes the following steps: Step S10: Obtain the mining area dataset, which includes transportation volume data, transportation distance data, and terrain data. Based on the mining area dataset, determine the load capacity level of the transportation equipment. Preferably, the transportation volume data includes the annual ore transportation volume and the annual waste rock transportation volume; the transportation distance data includes the average ore transportation distance and the average waste rock transportation distance; and the terrain data includes the terrain elevation difference between the mining area and the beneficiation plant and the terrain transportation characteristics. This embodiment takes the selection process of transportation equipment for ceramic clay mining in a certain mining area as an example. The annual ore transportation volume of this mining area is 9.57 million tons, the annual waste rock transportation volume is 5.74 million tons, the average ore transportation distance is 2.4 km, the average waste rock transportation distance is 2.8 km, the terrain elevation difference is 340 m, and the terrain transportation characteristic is heavy-load downhill transportation. Based on the production scale matching requirements and combined with the mining area dataset, the load capacity is determined to be 60t, and the type of transportation equipment is a dump truck. The dump truck models are further divided into fuel-powered and pure electric types. It is understandable that obtaining specific data about the mining area and clarifying the transportation conditions of the mining area is beneficial for targeted selection of the transportation equipment.

[0023] Step S20: Determine the transportation operation parameter set based on the mining area dataset and the load level; The transportation operation parameter set includes the number of equipment configurations, loading time, speed of loaded vehicles, speed of empty vehicles, unloading time, and effective working time per shift.

[0024] Preferably, using a transportation operation cycle model, the equipment configuration in this embodiment is calculated to be 28 units, the loading time is 205s / vehicle, the loaded vehicle speed is 15km / h, the empty vehicle speed is 20km / h, the unloading time is 60s, and the effective shift operation time is 5.17h. Understandably, clarifying the specific mine conditions allows for quantitative analysis of the specific transportation conditions, further defining the transportation operation parameter set, which is beneficial for subsequent objective quantitative evaluation based on data.

[0025] Step S30: Set several evaluation criteria and associate several comparison indicators with each evaluation criterion; Preferably, the evaluation criteria include technical adaptability criteria, economic criteria, environmental protection criteria, and energy consumption level criteria. The technical adaptability criteria are associated with several selection indicators, including slope and road condition adaptability, rated load and actual load rate, and cycle time and availability. The economic criteria are associated with several selection indicators, including initial investment cost and cost per ton-kilometer. The environmental protection criteria are associated with several selection indicators, including exhaust pollutant emissions, noise level, and carbon-based greening compatibility. The energy consumption level criteria are associated with several selection indicators, including energy consumption per ton-kilometer and energy recovery. Understandably, multi-dimensional evaluation standards can be set to address the needs of mining area transportation equipment and the green transformation requirements of mining area transportation equipment. This avoids traditional equipment selection schemes being limited to a single dimension. It not only evaluates the economic efficiency of equipment from multiple selection indicators but also comprehensively considers its technical adaptability, environmental protection, and energy consumption, which is beneficial for a comprehensive evaluation of the equipment and ultimately selecting the best solution.

[0026] Step S40: Obtain a number of devices to be evaluated corresponding to the load level, and calculate the index score of each device to be evaluated under each of the comparison indicators based on the number of comparison indicators. Understandably, standardizing data of different dimensions and scales into several index scores is beneficial for conducting intuitive and quantitative evaluations of different devices to be evaluated under different evaluation criteria and different comparison indicators.

[0027] Step S40 includes: S410: Based on the comparison index, obtain several index data of several devices to be evaluated; S420: Determine the maximum and minimum data from a plurality of the indicator data, and calculate the indicator score corresponding to the indicator data based on the maximum data, the minimum data and the indicator data, so as to obtain the indicator score of each of the devices to be evaluated under each of the comparison indicators.

[0028] Preferably, in steps S410-S420, the step of calculating the index score corresponding to the index data further includes: determining whether the comparison index is a benefit-type index or a cost-type index; if the comparison index is a benefit-type index, then calculating a first difference between the index data and the minimum data, calculating a second difference between the maximum data and the minimum data, dividing the first difference by the second difference, and multiplying by a preset total score to obtain the index score; if the comparison index is a cost-type index, then calculating a third difference between the maximum data and the index data, calculating the second difference between the maximum data and the minimum data, dividing the third difference by the second difference, and multiplying by the preset total score to obtain the index score.

[0029] Furthermore, in this embodiment, the preset total score is 100. The scores of each indicator are standardized and mapped to the range of 0 to 100. Taking the comparison of two devices to be evaluated as an example, the two devices to be evaluated are a fuel vehicle and a pure electric vehicle. For the unit ton-kilometer cost, this indicator is a cost-type indicator. The maximum data is 1.52 yuan / ton*km for the fuel vehicle and the minimum data is 1.38 yuan / ton*km for the pure electric vehicle. Then, the indicator score of the pure electric vehicle on this indicator is 100, and the indicator score of the fuel vehicle on this indicator is 0. It can be understood that different indicators are standardized in this way to eliminate the influence of dimensions, so that the scores between different indicators can be compared in a weighted manner.

[0030] Step S50: Based on several evaluation criteria, construct several judgment matrices to calculate several criterion layer weights corresponding to several evaluation criteria according to the several judgment matrices, and calculate the comprehensive score of each device to be evaluated according to the several criterion layer weights and several index scores. Understandably, comparing the importance of multiple evaluation criteria and obtaining their weights is beneficial for enabling standardized numerical comparisons of multiple candidate devices based on different index scores and different evaluation criteria. This eliminates the high dependence on human experience and subjectivity in traditional selection methods, and the method is replicable and can be applied to the selection of other devices.

[0031] In step S50, the number of evaluation criteria is a, and step S50 includes: S510: Based on several evaluation criteria, construct several a*a matrix frameworks; Preferably, in this embodiment, the number of evaluation criteria is 4, thus constructing a 4*4 matrix framework.

[0032] S520: Obtain several comparison results of several experts on the importance of several evaluation criteria, and based on the comparison results, fill in several importance scores into the matrix frame to form a judgment matrix; Preferably, an evaluation criterion table is established, with several rows and columns corresponding to the four evaluation criteria. Based on Saaty's 1-9 scale, the importance of the criteria and indicator layers is compared pairwise. Each expert's evaluation opinion on importance is entered into the table as a score. For example, if an expert compares the technology adaptability criterion with the economic criterion and considers the economic criterion slightly more important, then 1 / 2 is entered in the table for the ratio of technology adaptability to economics. Conversely, if the environmental protection criterion is compared with the economic criterion and environmental protection is clearly less important, then 1 / 5 is entered in the table for the ratio of environmental protection to economics. Furthermore, after completing the evaluation criterion table, the matrix framework is filled according to the values ​​in the table to form the judgment matrix. The evaluation criterion table can be seen in the following table:

[0033] S530: Calculate the maximum eigenvalue and eigenvector of the judgment matrix, and normalize the eigenvector to obtain the criterion layer weight vector; S540: Obtain the consistency ratio threshold, calculate the consistency ratio based on several criterion layer weight vectors, and compare the consistency ratio threshold and the consistency ratio to determine whether several criterion layer weight vectors pass the consistency test. Preferably, the consistency ratio threshold is 0.1. When the consistency ratio is less than the consistency ratio threshold, the criterion layer weight vector passes the consistency test.

[0034] S550: If several of the criterion layer weight vectors pass the consistency test, then several criterion layer weights are obtained based on the several criterion layer weight vectors, and the several criterion layer weights correspond one-to-one with the several evaluation criteria.

[0035] Preferably, in this embodiment, the weight of the criterion layer for the economic criterion is 0.4, the weight of the criterion layer for the technological adaptability criterion is 0.3, the weight of the criterion layer for the environmental criterion is 0.15, and the weight of the criterion layer for the energy consumption level criterion is 0.15. The total score of the equipment to be evaluated in the criterion layer of the economic criterion is calculated by multiplying the index score of the initial investment cost and the index score of the unit ton-kilometer cost by their respective weights and then adding them together. This process is then used to calculate the total score of the criterion layers for the other criteria. Finally, the scores are added together to obtain the comprehensive score. In other words, the comprehensive score of each equipment to be evaluated can be calculated for intuitive quantitative comparison.

[0036] Step S60: Calculate the total life cycle cost and energy recovery benefits of each of the aforementioned devices to be evaluated, and obtain the selection result of the transportation equipment based on several comprehensive scores, several total life cycle costs and several energy recovery benefits.

[0037] Understandably, the total life cycle cost of different types of equipment, such as fuel-powered and pure electric equipment, is different, and the energy recovery benefits are also different. A more comprehensive and scientific evaluation and selection can be carried out through specific data calculations.

[0038] Step S60 includes: S610: Determine whether the equipment to be evaluated is a fuel-powered equipment. If the equipment to be evaluated is a fuel-powered equipment, obtain the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first full life cycle of the equipment to be evaluated. Calculate the first present value of expenses based on the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first full life cycle, and establish the first present value of expenses as the full life cycle cost. S620: If the equipment to be evaluated is a non-fuel-powered device, then obtain the battery swapping period, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total life cycle of the equipment to be evaluated. Calculate the present value of the second expense based on the battery swapping period, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total life cycle, and establish the present value of the second expense as the total life cycle cost. S630: Extract elevation difference and path coefficient from the terrain data, obtain vehicle weight and energy recovery system efficiency based on the device to be evaluated, and calculate the energy recovered during a single downhill run based on the elevation difference, the path coefficient, the vehicle weight and the energy recovery system efficiency. S640: Based on the transport volume data, the transport distance data, and the transport operation parameter set, obtain the average daily transport cycle number, and calculate the energy recovery benefit based on the energy recovered per downhill run, the number of equipment configured, and the average daily transport cycle number.

[0039] The formula for the present value of the first expense is:

[0040] in, Represents the present value of the first expense. Indicates the first initial investment. Indicates the current number of years of use. Indicates the first full life cycle period. This indicates the operating costs for the first year. This indicates the first maintenance cost. Indicates the first energy cost, Indicates the first discount rate; The formula for the present value of the second cost is:

[0041] in, This represents the present value of the second expense. Indicates the second initial investment. Indicates the second full life cycle period. This indicates the second operating cost. This indicates the second maintenance cost. Indicates the second energy cost, This represents the second discount rate. Indicates the cost of battery swapping. Indicates the battery swapping lifespan.

[0042] Preferably, the energy recovered during a single downhill run is obtained by multiplying the elevation difference, the path coefficient, the vehicle weight, and the efficiency of the energy recovery system. In this embodiment, the path coefficient is 0.85, the efficiency of the energy recovery system of the pure electric equipment is 0.75, and the elevation difference is 340m.

[0043] Please see Figure 2 The mining transportation equipment selection system provided in the second embodiment of the present invention applies the mining transportation equipment selection method described in the first embodiment above. The system includes: The acquisition module 10 is used to acquire a mining area dataset, which includes transportation volume data, transportation distance data and terrain data, and to determine the load capacity level of the transportation equipment based on the mining area dataset. The transportation operation parameter set includes the number of equipment configurations, loading time, speed of loaded vehicles, speed of empty vehicles, unloading time, and effective working time per shift.

[0044] The determination module 20 is used to determine the set of transportation operation parameters based on the mining area dataset and the load level; The setting module 30 is used to set several evaluation criteria and associate several comparison indicators with each evaluation criterion; The scoring module 40 is used to acquire a number of devices to be evaluated corresponding to the load level, and calculate the index score of each device to be evaluated under each of the comparison indicators based on the number of comparison indicators. The fraction module 40 includes: The first unit is used to obtain several indicator data of several devices to be evaluated based on the comparison indicators; The second unit is used to determine the maximum and minimum data from a plurality of indicator data, and calculate the indicator score corresponding to the indicator data based on the maximum data, the minimum data and the indicator data, so as to obtain the indicator score of each of the devices to be evaluated under each of the comparison indicators.

[0045] The calculation module 50 is used to construct several judgment matrices based on several evaluation criteria, to calculate several criterion layer weights corresponding to several evaluation criteria according to the several judgment matrices, and to calculate the comprehensive score of each of the devices to be evaluated according to the several criterion layer weights and several index scores. In the calculation module 50, the number of evaluation criteria is 'a', and the calculation module 50 includes: The third unit is used to construct several a*a matrix frameworks based on several of the aforementioned evaluation criteria; The fourth unit is used to obtain several comparison results of the importance of several evaluation criteria by several experts, and based on the comparison results, fill in several importance scores into the matrix framework to form a judgment matrix. The fifth unit is used to calculate the maximum eigenvalue and eigenvector of the judgment matrix, and to normalize the eigenvector to obtain the criterion layer weight vector. The sixth unit is used to obtain the consistency ratio threshold, calculate the consistency ratio based on several criterion layer weight vectors, and compare the consistency ratio threshold and the consistency ratio to determine whether several criterion layer weight vectors pass the consistency test. The seventh unit is used to obtain several criterion layer weights based on the several criterion layer weight vectors if the several criterion layer weight vectors pass the consistency test, and the several criterion layer weights correspond one-to-one with the several evaluation criteria.

[0046] Module 60 is selected to calculate the total life cycle cost and energy recovery benefits of each of the aforementioned devices to be evaluated. Based on several comprehensive scores, several total life cycle costs, and several energy recovery benefits, the selection result of the transportation equipment is obtained.

[0047] The selected module 60 includes: The eighth unit is used to determine whether the equipment to be evaluated is a fuel-powered equipment. If the equipment to be evaluated is a fuel-powered equipment, the unit obtains the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first full life cycle of the equipment to be evaluated. Based on the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first full life cycle, the unit calculates the present value of the first expense and establishes the present value of the first expense as the full life cycle cost. The ninth unit is used to, if the equipment to be evaluated is a non-fuel-powered device, obtain the battery swapping period, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total life cycle of the equipment to be evaluated; calculate the present value of the second expense based on the battery swapping period, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total life cycle, and establish the present value of the second expense as the total life cycle cost; The tenth unit is used to extract elevation difference and path coefficient from the terrain data, obtain vehicle weight and energy recovery system efficiency based on the device to be evaluated, and calculate the energy recovered during a single downhill run based on the elevation difference, the path coefficient, the vehicle weight and the energy recovery system efficiency. The eleventh unit is used to obtain the average daily number of transportation cycles based on the transportation volume data, the transportation distance data, and the transportation operation parameter set, and to calculate the energy recovery benefit based on the energy recovered from a single downhill run, the number of equipment configurations, and the average daily number of transportation cycles.

[0048] The formula for the present value of the first expense is:

[0049] in, Represents the present value of the first expense. Indicates the first initial investment. Indicates the current number of years of use. Indicates the first full life cycle period. This indicates the operating costs for the first year. This indicates the first maintenance cost. Indicates the first energy cost, Indicates the first discount rate; The formula for the present value of the second cost is:

[0050] in, This represents the present value of the second expense. Indicates the second initial investment. Indicates the second full life cycle period. This indicates the second operating cost. This indicates the second maintenance cost. Indicates the second energy cost, This represents the second discount rate. Indicates the cost of battery swapping. Indicates the battery swapping lifespan.

[0051] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0052] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for comparing and selecting mining transportation equipment, characterized in that, Includes the following steps: Obtain a mining area dataset, which includes transportation volume data, transportation distance data, and terrain data. Based on the mining area dataset, determine the load capacity level of the transportation equipment. Based on the mining area dataset and the load level, a set of transportation operation parameters is determined; Several evaluation criteria are set, and several comparison indicators are associated with each evaluation criterion; Obtain a number of devices to be evaluated corresponding to the load level, and calculate the index score of each device to be evaluated under each of the comparison indicators based on the number of comparison indicators. Based on several evaluation criteria, several judgment matrices are constructed to calculate several criterion layer weights corresponding to several evaluation criteria according to the several judgment matrices, and to calculate the comprehensive score of each device to be evaluated according to the several criterion layer weights and several index scores. The total life cycle cost and energy recovery benefits of each of the aforementioned devices to be evaluated are calculated. Based on several comprehensive scores, several total life cycle costs, and several energy recovery benefits, the selection result of the transportation equipment is obtained.

2. The method for selecting mining transportation equipment according to claim 1, characterized in that, The transportation operation parameter set includes the number of equipment configurations, loading time, speed of loaded vehicles, speed of empty vehicles, unloading time, and effective working time per shift.

3. The method for selecting mining transportation equipment according to claim 1, characterized in that, The step of calculating the index score of each device to be evaluated under each of the comparison indicators based on a plurality of the comparison indicators includes: Based on the comparison criteria, obtain several criterion data for several of the devices to be evaluated; The maximum and minimum data are determined from a plurality of indicator data. Based on the maximum data, the minimum data, and the indicator data, the indicator score corresponding to the indicator data is calculated to obtain the indicator score of each device to be evaluated under each of the comparison indicators.

4. The method for selecting mining transportation equipment according to claim 1, characterized in that, The number of evaluation criteria is 'a', and the step of constructing several judgment matrices based on several evaluation criteria includes: Based on several evaluation criteria, construct several a*a matrix frameworks; Obtain several comparison results of several experts on the importance of several evaluation criteria, and based on the comparison results, fill in several importance scores into the matrix framework to form a judgment matrix.

5. The method for selecting mining transportation equipment according to claim 1, characterized in that, The step of calculating the weights of several criteria layers corresponding to several evaluation criteria based on several judgment matrices includes: Calculate the maximum eigenvalue and eigenvector of the judgment matrix, and normalize the eigenvector to obtain the criterion layer weight vector; Obtain a consistency ratio threshold, calculate a consistency ratio based on several criterion layer weight vectors, and compare the consistency ratio threshold and the consistency ratio to determine whether several criterion layer weight vectors pass the consistency test. If several of the criterion layer weight vectors pass the consistency test, then several criterion layer weights are obtained based on the several criterion layer weight vectors, and the several criterion layer weights correspond one-to-one with the several evaluation criteria.

6. The method for selecting mining transportation equipment according to claim 2, characterized in that, The steps for calculating the total lifecycle cost and energy recovery benefits of each of the devices to be evaluated include: Determine whether the equipment to be evaluated is a fuel-powered device. If the equipment to be evaluated is a fuel-powered device, obtain the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first total life cycle of the equipment to be evaluated. Calculate the present value of the first expense based on the first initial investment, first annual operating cost, first maintenance cost, first energy cost, first discount rate, and first total life cycle, and establish the present value of the first expense as the total life cycle cost. If the equipment to be evaluated is a non-fuel-powered device, then the following are obtained: battery swapping life, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total lifespan of the equipment to be evaluated. Based on the battery swapping life, battery swapping cost, second initial investment, second year operating cost, second maintenance cost, second energy cost, second discount rate, and second total lifespan, the present value of the second expense is calculated, and the present value of the second expense is established as the total lifespan cost. Elevation difference and path coefficient are extracted from the terrain data, and vehicle weight and energy recovery system efficiency are obtained based on the device to be evaluated, so as to calculate the energy recovered during a single downhill run based on the elevation difference, the path coefficient, the vehicle weight and the energy recovery system efficiency. Based on the transport volume data, the transport distance data, and the transport operation parameter set, the average number of daily transport cycles is obtained. Based on the energy recovered per downhill run, the number of equipment configured, and the average number of daily transport cycles, the energy recovery benefit is calculated.

7. The method for selecting mining transportation equipment according to claim 6, characterized in that, The formula for the present value of the first expense is: in, Represents the present value of the first expense. Indicates the first initial investment. Indicates the current number of years of use. Indicates the first full life cycle period. This indicates the operating costs for the first year. This indicates the first maintenance cost. Indicates the first energy cost, Indicates the first discount rate; The formula for the present value of the second cost is: in, This represents the present value of the second expense. Indicates the second initial investment. Indicates the second full life cycle period. This indicates the second operating cost. This indicates the second maintenance cost. Indicates the second energy cost, This represents the second discount rate. Indicates the cost of battery swapping. Indicates the battery swapping lifespan.

8. A selection system for mining transportation equipment, employing the selection method for mining transportation equipment as described in any one of claims 1 to 7, characterized in that, The system includes: The acquisition module is used to acquire a mining area dataset, which includes transportation volume data, transportation distance data, and terrain data. Based on the mining area dataset, the load capacity level of the transportation equipment is determined. The determination module is used to determine the set of transportation operation parameters based on the mining area dataset and the load level; The setting module is used to set several evaluation criteria and associate several comparison indicators with each evaluation criterion; The scoring module is used to acquire a number of devices to be evaluated corresponding to the load level, and calculate the index score of each device to be evaluated under each of the comparison indicators based on the number of comparison indicators. The calculation module is used to construct several judgment matrices based on several evaluation criteria, to calculate several criterion layer weights corresponding to several evaluation criteria according to the several judgment matrices, and to calculate the comprehensive score of each of the devices to be evaluated according to the several criterion layer weights and several index scores. A selected module is used to calculate the total life cycle cost and energy recovery benefits of each of the aforementioned devices to be evaluated. Based on several comprehensive scores, several total life cycle costs, and several energy recovery benefits, the selection result of the transportation equipment is obtained.

9. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method for comparing and selecting mining transportation equipment as described in any one of claims 1 to 7.

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