Method and system for evaluating operation effect of intelligent fully mechanized coal mining face

Abstract

Disclosed in the present invention are a method and system for evaluating the operation effect of an intelligent fully mechanized coal mining face, comprising the following steps: S1, acquiring relevant data of intelligent operation of a fully mechanized coal mining face; S2, determining key indexes for the operation effect of the intelligent fully mechanized coal mining face, and establishing a comprehensive evaluation index system for the operation effect by using an analytic hierarchy process; S3, determining an evaluation value and a weight coefficient corresponding to each evaluation index; S4, constructing a comprehensive evaluation mathematical model for the operation effect of the intelligent fully mechanized coal mining face; S5, on the basis of the comprehensive evaluation mathematical model for the operation effect of the intelligent fully mechanized coal mining face and the evaluation value and the weight coefficient corresponding to each evaluation index in the comprehensive evaluation index system, calculating a total score of the overall operation effect of the intelligent fully mechanized coal mining face; and S6, performing grade classification on the operation effect of the intelligent fully mechanized coal mining face to determine an evaluation result of the operation effect of the intelligent fully mechanized coal mining face. The present invention can systematically and comprehensively evaluate various factors affecting the intelligent operation of an intelligent fully mechanized coal mining face after the intelligent fully mechanized coal mining face has been constructed and put into use for a period of time.

Description

A method and system for evaluating the operational effectiveness of intelligent fully mechanized mining faces Technical Field

[0001] This invention relates to the technical field of evaluating the operational performance of intelligent fully mechanized mining faces, and more specifically, to a method and system for evaluating the operational performance of intelligent fully mechanized mining faces. Background Technology

[0002] In recent years, with the application of information technologies such as big data, 5G, and the Internet+, more than 1,000 intelligent fully mechanized mining faces (hereinafter referred to as fully mechanized mining faces) have been built nationwide. However, after the intelligent fully mechanized mining faces are built and put into use, how to evaluate their operational effectiveness is a key issue facing the further promotion of intelligent coal mine construction. At present, the evaluation of the operational effectiveness of intelligent fully mechanized mining faces at home and abroad mainly focuses on reducing manpower and increasing efficiency, and rarely involves the evaluation of equipment, energy consumption, and safety. In addition, the evaluation of the operational effectiveness of intelligent fully mechanized mining faces is a complex system engineering project, involving various factors affecting the production efficiency of fully mechanized mining faces, such as equipment, personnel, energy consumption, and safety. Therefore, it is necessary to provide a method and system for evaluating the operational effectiveness of intelligent fully mechanized mining faces to comprehensively evaluate their operational effectiveness. Summary of the Invention

[0003] To address the aforementioned technical problems in related technologies, this invention provides an intelligent fully mechanized mining face operation performance evaluation method and system, which can solve the above problems.

[0004] To achieve the above-mentioned technical objectives, the technical solution of the present invention is implemented as follows:

[0005] A method for evaluating the operational effectiveness of an intelligent fully mechanized mining face includes the following steps:

[0006] S1. Obtain relevant data on the intelligent operation of the fully mechanized mining face;

[0007] S2. Determine the key indicators of the operational effectiveness of intelligent fully mechanized mining faces, and establish a comprehensive evaluation index system for operational effectiveness using the analytic hierarchy process;

[0008] S3. Determine the evaluation value and weight coefficient corresponding to each evaluation indicator;

[0009] S4. Construct a mathematical model for comprehensive evaluation of the operational effectiveness of intelligent fully mechanized mining faces;

[0010] S5. Based on the mathematical model for comprehensive evaluation of the operation effect of intelligent fully mechanized mining face, and combined with the evaluation value and weight coefficient corresponding to each evaluation indicator in the comprehensive evaluation index system, calculate the total score of the overall operation effect of intelligent fully mechanized mining face.

[0011] S6. Classify the operational effectiveness of intelligent fully mechanized mining faces into levels and determine the evaluation results of the operational effectiveness of intelligent fully mechanized mining faces.

[0012] Furthermore, the relevant data in step S1 includes: historical operating data of coal mining machines, hydraulic supports, scraper conveyors, crushers, transfer conveyors, roadway belt conveyors, fully mechanized mining face control center, pumping stations, network communication systems, water supply and drainage equipment, power supply equipment, ventilation equipment, and auxiliary equipment of the fully mechanized mining face, as well as data on coal production and consumption for each production shift, day, month, and year of the fully mechanized mining face.

[0013] Furthermore, the comprehensive evaluation index system for operational effectiveness described in step S2 includes primary evaluation indicators, secondary evaluation indicators, and tertiary evaluation indicators.

[0014] Furthermore, the primary evaluation indicators include: equipment automatic operation effect evaluation indicators, personnel operation effect evaluation indicators, energy consumption operation effect evaluation indicators, and safety assurance operation effect evaluation indicators; among which, the equipment automatic operation effect evaluation indicators include the following secondary evaluation indicators: coal cutting efficiency of the coal mining machine, automatic following efficiency of the hydraulic support, automatic pushing efficiency of the scraper conveyor, automatic crushing efficiency of the crusher, automatic operation efficiency of the transfer conveyor, automatic operation efficiency of the roadway conveyor, automatic control efficiency of the fully mechanized mining face control center, automatic liquid supply efficiency of the pump station, automatic operation efficiency of network communication, automatic operation efficiency of water supply and drainage equipment, automatic operation efficiency of power supply equipment, automatic operation efficiency of ventilation equipment, and automatic operation efficiency of auxiliary equipment in the fully mechanized mining face; among which, the personnel operation effect evaluation indicators include the following two... Level 1 evaluation indicators: Personnel reduction rate at the fully mechanized mining face, manual maintenance rate at the fully mechanized mining face, manual intervention rate at the fully mechanized mining face, and labor cost rate per ton of coal at the fully mechanized mining face; Among these, the energy consumption operation performance evaluation indicators include the following secondary evaluation indicators: water consumption rate per ton of coal at the fully mechanized mining face, electricity consumption rate per ton of coal at the fully mechanized mining face, equipment utilization rate per ton of coal at the fully mechanized mining face, material cost rate per ton of coal at the fully mechanized mining face, equipment cost consumption rate per ton of coal at the fully mechanized mining face, and vehicle cost consumption rate per ton of coal at the fully mechanized mining face; Among these, the safety assurance operation performance evaluation indicators include the following secondary evaluation indicators: coal mining machine position accuracy qualification rate, hydraulic support position accuracy qualification rate, fully mechanized mining face straightness qualification rate, coal flow load balance rate, initial support force qualification rate at the fully mechanized mining face, comprehensive start-up rate at the fully mechanized mining face, and fault alarm rate at the fully mechanized mining face; Level 3 evaluation indicators include five categories: Excellent, Good, Medium, Poor, and Very Poor.

[0015] Furthermore, the specific steps in step S3 for determining the evaluation value and weight coefficient corresponding to each evaluation indicator include:

[0016] S3-1. Method for determining the evaluation values ​​of evaluation indicators: The objective assignment method is used for the first-level and third-level evaluation indicators, and the numerical calculation method is used for the second-level evaluation indicators. The first-level evaluation indicators are assigned values ​​according to the importance of the indicators to the operation effect of the fully mechanized mining face, using the percentage system. The evaluation values ​​of the third-level evaluation indicators are assigned as follows: 0.9≤Excellent≤1, 0.8≤Good<0.9, 0.7≤Medium<0.8, 0.6≤Poor<0.7, 0≤Extremely Poor<0.6.

[0017] S3-2, Specific steps for calculating the weight coefficients of evaluation indicators:

[0018] S3-2-1. Construct a judgment matrix that represents the relative importance among the various evaluation indicators;

[0019] S3-2-2, Determine the weights of the judgment matrix;

[0020] S3-2-3, Determine the weight coefficients of the evaluation indicators for each level;

[0021] S3-2-4. Perform a consistency check on the calculated weight coefficients.

[0022] Furthermore, a comprehensive mathematical model for evaluating the operational effectiveness of intelligent fully mechanized mining faces is constructed, and calculations are performed using the following formula:

[0023] ;

[0024] In the formula The total score for evaluating the operational effectiveness of intelligent fully mechanized mining faces; , , , These represent the evaluation scores for the automatic operation effect of the equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance, respectively; A, B, C, and D represent the assigned values ​​for the evaluation indicators of the automatic operation effect of the equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance, respectively. The evaluation indicators for the automatic operation effect of the equipment are as follows: The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; The evaluation indicators for personnel use of operational effectiveness are as follows: The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; , , , These are the energy consumption operation performance evaluation indicators. The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; These are the evaluation indicators for the effectiveness of safety assurance operations. The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; These represent the total number of secondary evaluation indicators included in the evaluation indicators for the automatic operation effect of equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance.

[0025] Furthermore, the operational effectiveness of the intelligent fully mechanized mining face described in step S6 has five levels: good, relatively good, average, poor, and very poor; the evaluation results of the operational effectiveness of the intelligent fully mechanized mining face correspond to... The score is: The running effect is good. The performance is good. The running effect is average. The performance was poor. The performance was extremely poor.

[0026] An intelligent fully mechanized mining face operation performance evaluation system includes:

[0027] The data storage module is used to store the data related to the intelligent operation of the fully mechanized mining face, and to clean and preprocess the data to ensure its accuracy and integrity.

[0028] The evaluation indicator system establishment module is used to establish key indicators involved in the evaluation of the operation effect of intelligent fully mechanized mining face;

[0029] The evaluation value calculation module is used to calculate the evaluation values ​​of key indicators involved in the operational effectiveness evaluation index system;

[0030] The weight coefficient calculation module is used to calculate the weight coefficient of each level of indicator in the performance evaluation index system.

[0031] The operation performance evaluation module is used to calculate the overall operation performance score of the intelligent fully mechanized mining face and determine the evaluation result of the operation performance of the intelligent fully mechanized mining face.

[0032] The beneficial effects of this invention are as follows: Compared with the prior art, this invention can systematically and comprehensively evaluate various factors affecting the intelligent operation of a fully mechanized mining face after it has been built and put into use for a period of time. It can comprehensively evaluate the operation effect of the intelligent fully mechanized mining face from four dimensions: equipment, personnel, energy consumption, and safety, and provide a basis for judging the operation effect of the intelligent fully mechanized mining face. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] The present invention will now be described in further detail with reference to the accompanying drawings.

[0035] Figure 1 is a flowchart illustrating an intelligent fully mechanized mining face operation performance evaluation method according to an embodiment of the present invention;

[0036] Figure 2 is a schematic diagram of a comprehensive evaluation index system for intelligent fully mechanized mining face performance according to an embodiment of the present invention;

[0037] Figure 3 is a schematic diagram of the calculation of the weight coefficient of the intelligent fully mechanized mining face operation effect evaluation index according to an embodiment of the present invention;

[0038] Figure 4 is a structural diagram of an intelligent fully mechanized mining face operation effect evaluation system according to an embodiment of the present invention.

[0039] In the picture: Detailed Implementation

[0040] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention are within the scope of protection of the present invention.

[0041] As shown in Figures 1-4, the present invention discloses a method for evaluating the operational effectiveness of an intelligent fully mechanized mining face, comprising the following steps: S1, acquiring relevant data on the intelligent operation of the fully mechanized mining face; S2, determining the key indicators of the operational effectiveness of the intelligent fully mechanized mining face, and establishing a comprehensive evaluation index system for operational effectiveness using the analytic hierarchy process (AHP); S3, determining the evaluation value and weight coefficient corresponding to each evaluation indicator; S4, constructing a comprehensive evaluation mathematical model for the operational effectiveness of the intelligent fully mechanized mining face; S5, based on the comprehensive evaluation mathematical model for the operational effectiveness of the intelligent fully mechanized mining face, and combining the evaluation value and weight coefficient corresponding to each evaluation indicator in the comprehensive evaluation index system, calculating the total score of the overall operational effectiveness of the intelligent fully mechanized mining face; S6, classifying the operational effectiveness of the intelligent fully mechanized mining face into levels, and determining the evaluation result of the operational effectiveness of the intelligent fully mechanized mining face. A smart fully mechanized mining face operation performance evaluation system is also disclosed, comprising: a data storage module for storing acquired data related to the intelligent operation of the fully mechanized mining face, and performing data cleaning and preprocessing to ensure the accuracy and integrity of the data; an evaluation index system establishment module for establishing key indicators involved in the evaluation process of the smart fully mechanized mining face operation performance; an evaluation value calculation module for calculating the evaluation values ​​of the key indicators involved in the operation performance evaluation index system; a weight coefficient calculation module for calculating the weight coefficient of each level of indicator in the operation performance evaluation index system; and an operation performance evaluation module for calculating the overall operation performance score of the smart fully mechanized mining face and determining the evaluation result of the operation performance of the smart fully mechanized mining face. Example 1:

[0042] This application obtains data related to the intelligent operation of fully mechanized mining faces, including historical operating data of coal mining machines, hydraulic supports, scraper conveyors, crushers, transfer conveyors, roadway belt conveyors, the fully mechanized mining face control center, pumping stations, network communication systems, water supply and drainage equipment, power supply equipment, ventilation equipment, and auxiliary equipment of the fully mechanized mining face, as well as data on coal production and consumption for each shift, day, month, and year. This data can be retrieved from the intelligent management system for fully mechanized mining faces, and the acquired data undergoes data cleaning and preprocessing to ensure its accuracy and completeness. Example 2:

[0043] The key indicators in the intelligent fully mechanized mining face operation performance evaluation index system of this application include 4 primary evaluation indicators, 30 secondary evaluation indicators, and 5 tertiary evaluation indicators. Among them:

[0044] The primary evaluation indicators include: equipment automatic operation effect evaluation indicator (A), personnel use operation effect evaluation indicator (B), energy consumption operation effect evaluation indicator (C), and safety assurance operation effect evaluation indicator (D).

[0045] Secondary evaluation indicators include:

[0046] The evaluation index for the automatic operation of equipment includes 13 secondary evaluation indicators: automatic coal cutting efficiency of the coal mining machine (A1), automatic following efficiency of the hydraulic support (A2), automatic pushing efficiency of the scraper conveyor (A3), automatic crushing efficiency of the crusher (A4), automatic operation efficiency of the transfer conveyor (A5), automatic operation efficiency of the roadway conveyor (A6), automatic control efficiency of the fully mechanized mining face control center (A7), automatic liquid supply efficiency of the pump station (A8), automatic operation efficiency of network communication (A9), and automatic operation efficiency of water supply and drainage equipment (A1). 10 ), Automatic operating efficiency of power supply equipment (A) 11 ), Automatic operating efficiency of ventilation equipment (A) 12 ), Automatic operation efficiency of auxiliary equipment in fully mechanized mining face (A) 13 ).

[0047] The personnel operation effectiveness evaluation index includes four secondary evaluation indicators: the reduction rate of personnel at the fully mechanized mining face (B1), the manual maintenance rate at the fully mechanized mining face (B2), the manual intervention rate at the fully mechanized mining face (B3), and the labor cost rate per ton of coal at the fully mechanized mining face (B4).

[0048] The energy consumption operation performance evaluation index includes 6 secondary evaluation indicators: electricity consumption rate per ton of coal in fully mechanized mining face (C1), equipment utilization rate per ton of coal in fully mechanized mining face (C2), material cost rate per ton of coal in fully mechanized mining face (C3), cost consumption rate of fully mechanized mining equipment per ton of coal in fully mechanized mining face (C4), vehicle cost consumption rate per ton of coal in fully mechanized mining face (C5), and water consumption rate per ton of coal in fully mechanized mining face (C6).

[0049] The safety assurance operation effect evaluation index includes 7 secondary evaluation indicators: coal mining machine position and posture accuracy qualification rate (D1), hydraulic support position and posture accuracy qualification rate (D2), fully mechanized mining face straightness qualification rate (D3), coal flow load balance rate (D4), fully mechanized mining face initial support force qualification rate (D5), fully mechanized mining face comprehensive start-up rate (D6), and fully mechanized mining face fault alarm rate (D7).

[0050] The three-level evaluation indicators include five categories: excellent, good, average, poor, and very poor. Example 3:

[0051] The method for determining the evaluation value and weight coefficient corresponding to each evaluation indicator in this application is as follows:

[0052] (1) Method for determining the evaluation value of evaluation indicators

[0053] The evaluation indicators were determined using both the objective assignment method and the numerical calculation method. The objective assignment method was used for the first-level and third-level evaluation indicators, while the numerical calculation method was used for the second-level indicators.

[0054] The evaluation values ​​for the first-level evaluation indicators are as follows: equipment automatic operation effect evaluation indicator (40 points), personnel use operation effect (20 points), energy consumption operation effect (20 points), and safety assurance operation effect (20 points).

[0055] The evaluation values ​​for the three levels of evaluation indicators are assigned as follows: Excellent (0.9-1), Good (0.8-0.9), Average (0.7-0.8), Poor (0.6-0.7), and Very Poor (0-0.6).

[0056] The evaluation values ​​of the secondary evaluation indicators are assigned using a numerical calculation method, where:

[0057] The formula for calculating the automatic coal cutting efficiency (A1) of a coal mining machine is as follows:

[0058] In the formula, This indicates the number of supports the coal mining machine automatically passes through during a single cut from the head to the tail. This indicates the total number of supports within the fully mechanized mining face.

[0059] The formula for calculating the automatic following efficiency (A2) of hydraulic supports is as follows:

[0060] In the formula, This indicates the number of supports that automatically follow the machine during the coal cutting process. This indicates the total number of supports that the coal mining machine passes through.

[0061] The formula for calculating the automatic conveying efficiency (A3) of a scraper conveyor is as follows:

[0062] In the formula, This indicates the length of the scraper conveyor automatically pushing the material during one cut by the coal mining machine. This indicates the total length of the scraper conveyor within the longwall mining face.

[0063] The formula for calculating the automatic crushing efficiency (A4) of a crusher is as follows:

[0064] In the formula, This indicates the number of large coal pieces crushed by the crusher per unit time. This indicates the total number of large pieces of coal.

[0065] The formula for calculating the automatic operating efficiency (A5) of the transfer machine is as follows:

[0066] In the formula, This indicates the time when the transfer machine malfunctions during one cut of the coal mining machine. This indicates the total running time of the transfer machine during one cut of the coal mining machine.

[0067] The formula for calculating the automatic operating efficiency (A6) of the conveyor belt in the roadway is: A6 = (T2 - T3) / T2

[0068] In the formula, This indicates the time when the conveyor belt in the coal mining machine malfunctions during one cut. This indicates the total running time of the conveyor belt in the roadway during one cut by the coal mining machine.

[0069] The formula for calculating the control efficiency (A7) of the integrated mining face control center is as follows:

[0070] In the formula, This indicates the number of mechanical, electrical, and hydraulic equipment at the fully mechanized mining face that are connected to the centralized control system and are functioning normally under remote control. This indicates the total number of mechanical, electrical, and hydraulic equipment used in fully mechanized mining faces.

[0071] The formula for calculating the automatic operation efficiency (A8) of a pumping station is as follows:

[0072] In the formula, This indicates the time when the pump station malfunctions during one cut of the coal mining machine at the fully mechanized mining face. This indicates the total operating time of the pump station in the fully mechanized mining face during one cut by the coal mining machine.

[0073] The formula for calculating the automatic operation efficiency (A9) of network communication is as follows:

[0074] In the formula, This indicates the time when the network communication at the fully mechanized mining face fails during one cut of the coal mining machine. This indicates the total network communication operation time of the fully mechanized mining face during one cut of the coal mining machine.

[0075] Automatic operating efficiency (A) of water supply and drainage equipment 10 The calculation formula is:

[0076] In the formula, This indicates the time when the water supply and drainage equipment at the fully mechanized mining face malfunctions during one cut of the coal mining machine. This indicates the total water supply time of the water supply and drainage equipment at the fully mechanized mining face during one cut by the coal mining machine.

[0077] Automatic operating efficiency of power supply equipment (A) 11 The calculation formula is:

[0078] In the formula, This indicates the time when the power supply equipment at the fully mechanized mining face fails during one cut of the coal mining machine. This indicates the total power supply time for the fully mechanized mining face's power supply equipment during one cut by the coal mining machine.

[0079] Automatic operating efficiency (A) of ventilation equipment 12 The calculation formula is:

[0080] In the formula, This indicates the time when the ventilation equipment at the fully mechanized mining face malfunctions during a single cut by the coal mining machine. This indicates the total ventilation time of the ventilation equipment at the fully mechanized mining face during one cut by the coal mining machine.

[0081] Automatic operation efficiency of auxiliary equipment in fully mechanized mining face (A) 13 The calculation formula is:

[0082] In the formula, This indicates the time when auxiliary equipment at the fully mechanized mining face malfunctions during a single cut by the coal mining machine. This indicates the total operating time of the auxiliary equipment at the fully mechanized mining face during one cut by the coal mining machine.

[0083] The formula for calculating the reduction rate (B1) of personnel at the fully mechanized mining face is as follows:

[0084] In the formula, This indicates the number of personnel per shift in the production team before the completion of the intelligent fully mechanized mining face. This indicates the number of personnel per shift in the production team after the completion of the intelligent fully mechanized mining face.

[0085] The formula for calculating the manual maintenance rate (B2) of a fully mechanized mining face is as follows:

[0086] In the formula, This indicates the number of manual maintenance operations performed before the construction of the intelligent fully mechanized mining face; This indicates the number of manual maintenance operations required after the construction of an intelligent fully mechanized mining face.

[0087] The formula for calculating the manual intervention rate (B3) in fully mechanized mining faces is as follows:

[0088] In the formula, This indicates the number of stands that should perform automatic follow-up but require manual operation (including local controller operation, remote control line-of-sight operation, and remote operation); This indicates the total number of brackets that should be automatically followed up.

[0089] The formula for calculating the labor cost rate (B4) per ton of coal in a fully mechanized mining face is as follows:

[0090] In the formula, This represents the labor cost required to produce one ton of coal in a fully mechanized mining face before the construction of an intelligent fully mechanized mining face. This indicates the labor cost required to produce one ton of coal after the completion of an intelligent fully mechanized mining face.

[0091] The formula for calculating the coal-to-electricity consumption rate (C1) of a fully mechanized mining face is as follows:

[0092] In the formula, This indicates the amount of electricity consumed by a fully mechanized mining face to produce one ton of coal before the construction of an intelligent fully mechanized mining face. This indicates the amount of electricity consumed by the fully mechanized mining face to produce 1 ton of coal after the intelligent fully mechanized mining face is built.

[0093] The formula for calculating the utilization rate (C2) of coal-mining equipment per ton of coal in a fully mechanized mining face is as follows:

[0094] In the formula, This represents the total number of equipment used in a fully mechanized mining face to produce one ton of coal before the construction of an intelligent fully mechanized mining face. This indicates the total number of equipment used to produce 1 ton of coal in a fully mechanized mining face after its construction.

[0095] The formula for calculating the material cost rate (C3) per ton of coal in a fully mechanized mining face is as follows:

[0096] In the formula, This represents the cost of materials consumed by a fully mechanized mining face to produce one ton of coal before the construction of an intelligent fully mechanized mining face. This indicates the cost of materials consumed by the fully mechanized mining face to produce 1 ton of coal after the intelligent fully mechanized mining face is built.

[0097] The formula for calculating the cost consumption rate (C4) of fully mechanized mining equipment per ton of coal in a fully mechanized mining face is as follows:

[0098] In the formula, This represents the cost of the fully mechanized mining equipment consumed to produce one ton of coal before the construction of an intelligent fully mechanized mining face. This indicates the cost of the fully mechanized mining equipment consumed to produce one ton of coal after the completion of an intelligent fully mechanized mining face.

[0099] The formula for calculating the coal consumption rate per ton of vehicle in a fully mechanized mining face (C5) is as follows:

[0100] In the formula, This represents the vehicle cost consumed by a fully mechanized mining face to produce one ton of coal before the construction of an intelligent fully mechanized mining face. This indicates the vehicle cost consumed by the fully mechanized mining face to produce 1 ton of coal after the intelligent fully mechanized mining face is built.

[0101] The formula for calculating the coal-water consumption rate (C6) per ton of coal at a fully mechanized mining face is: C6 = (W0 - W1) / W0

[0102] In the formula, This indicates the amount of water consumed by a fully mechanized mining face to produce one ton of coal before the construction of an intelligent fully mechanized mining face. This indicates the amount of water consumed by the fully mechanized mining face to produce 1 ton of coal after the intelligent fully mechanized mining face is built.

[0103] The formula for calculating the coal mining machine's positional accuracy pass rate (D1) is as follows:

[0104] In the formula, This indicates the number of times the coal mining machine's posture monitoring accuracy exceeds the specified accuracy level during a single cut. This indicates the total number of times the coal mining machine's posture was monitored during a single cut.

[0105] The formula for calculating the hydraulic support position accuracy pass rate (D2) is as follows:

[0106] In the formula, This indicates the number of times the hydraulic support posture monitoring accuracy exceeds the specified accuracy level during a single cut by the coal mining machine. This indicates the total number of times the hydraulic support position is monitored during a single cut by the coal mining machine.

[0107] The formula for calculating the straightness qualification rate (D3) of the fully mechanized mining face is as follows:

[0108] In the formula, This indicates the number of times the straightness monitoring accuracy of the fully mechanized mining face exceeds the specified accuracy level during a single cut by the coal mining machine. This indicates the total number of times the straightness of the fully mechanized mining face was monitored during a single cut by the coal mining machine.

[0109] The formula for calculating the coal flow load balance rate (D4) is: D4 = (P6 - P7) / P 6

[0110] In the formula, This indicates the number of times the coal flow load imbalance is monitored during a single cut by the coal mining machine. This indicates the total number of times the coal flow load balance is monitored during a single cut by the coal mining machine.

[0111] The formula for calculating the initial support strength qualification rate (D5) of a fully mechanized mining face is as follows:

[0112] In the formula, This indicates the number of hydraulic supports that meet the initial support force standard within the fully mechanized mining face. This indicates the total number of hydraulic supports in the fully mechanized mining face.

[0113] The formula for calculating the overall operating rate (D6) of a fully mechanized mining face is as follows:

[0114] In the formula, This indicates the duration of coal-loaded operation of the transfer machine at the fully mechanized mining face. This indicates the specified production time for the fully mechanized mining face.

[0115] The formula for calculating the fault alarm rate (D7) of a fully mechanized mining face is as follows:

[0116] In the formula, This indicates the number of fault alarms that occurred at the fully mechanized mining face during one cut of the coal mining machine. This indicates the total number of malfunctions that occur at the fully mechanized mining face during a single cut by the coal mining machine.

[0117] (2) The weight coefficients of the evaluation indicators are calculated as follows:

[0118] ① Construct the judgment matrix

[0119] Select indicators of the same level under the same level of indicators (such as secondary indicators under the primary evaluation indicator of safety assurance operation effectiveness). By comparing the relative importance of each pair of evaluation indicators, a judgment matrix is ​​established as follows:

[0120] ;

[0121] ② Determine the weights of the judgment matrix

[0122] Determine the elements in the matrix This indicates that E is used as the judgment criterion, and the elements are... right The relative importance, that is:

[0123] ,in, and Representing elements respectively and Importance scale values. The judgment matrix measures the importance of elements using a 1-9 scale as follows:

[0124] ;

[0125] ③ Determine the weight coefficients of the evaluation indicators for each level: Calculate the judgment matrix. Maximum eigenvalue And its corresponding eigenvector U, thus obtaining the weight vector. Normalization yields the relative weights of each evaluation indicator at a given level with respect to its parent level indicator. , .

[0126] ④ Consistency test: Calculate the consistency index CI and the average random consistency index CR, where CR = CI / RI.

[0127] ;

[0128] In the formula, RI represents the average random consistency index of the same order, and its value is as shown above: when CR≤0.1, it indicates that the established judgment matrix has satisfactory consistency and the selection of weights meets the requirements. Otherwise, a new judgment matrix needs to be determined until the constructed judgment matrix meets the requirements. Example 4:

[0129] The construction approach of the comprehensive evaluation mathematical model for the operation effect of intelligent fully mechanized mining faces in this application is as follows: The principle of constructing the comprehensive evaluation mathematical model for the operation effect of fully mechanized mining faces is based on the analytic hierarchy process (AHP). The detailed steps are: First, determine the mathematical model of the first-level evaluation indicators: , , , Then, the mathematical models for the secondary evaluation indicators are determined as follows: , , , Secondly, the mathematical models for the three levels of evaluation indicators are as follows: , , , Finally, based on the mathematical models of the primary, secondary, and tertiary evaluation indicators, a comprehensive evaluation mathematical model for the operational effectiveness of intelligent fully mechanized mining faces is constructed. It is calculated using the following formula:

[0130] ;

[0131] In the formula The total score for evaluating the operational effectiveness of intelligent fully mechanized mining faces; , , , These represent the evaluation scores for the automatic operation effect of the equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance, respectively; A, B, C, and D represent the assigned values ​​for the evaluation indicators of the automatic operation effect of the equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance, respectively. , , , The evaluation indicators for the automatic operation effect of the equipment are as follows: The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; , , , The evaluation indicators for personnel use of operational effectiveness are as follows: The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; , , , These are the energy consumption operation performance evaluation indicators. The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; , , , These are the evaluation indicators for the effectiveness of safety assurance operations. The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; These represent the total number of secondary evaluation indicators included in the evaluation indicators for the automatic operation effect of equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance.

[0132] The corresponding results of the intelligent fully mechanized mining face operation performance evaluation The score is: The running effect is good. The performance is good. The running effect is average. The performance was poor. The performance was extremely poor.

[0133] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for evaluating the operational effectiveness of an intelligent fully mechanized mining face, characterized in that, Includes the following steps: S1. Obtain relevant data on the intelligent operation of the fully mechanized mining face; S2. Determine the key indicators of the operational effectiveness of intelligent fully mechanized mining faces, and establish a comprehensive evaluation index system for operational effectiveness using the analytic hierarchy process. S3. Determine the evaluation value and weight coefficient corresponding to each evaluation indicator; S4. Construct a mathematical model for comprehensive evaluation of the operational effectiveness of intelligent fully mechanized mining faces; S5. Based on the mathematical model for comprehensive evaluation of the operation effect of intelligent fully mechanized mining face, and combined with the evaluation value and weight coefficient corresponding to each evaluation indicator in the comprehensive evaluation index system, calculate the total score of the overall operation effect of intelligent fully mechanized mining face. S6. Classify the operational effectiveness of intelligent fully mechanized mining faces into levels and determine the evaluation results of the operational effectiveness of intelligent fully mechanized mining faces.

2. The method for evaluating the operational effectiveness of an intelligent fully mechanized mining face according to claim 1, characterized in that, The relevant data in step S1 includes: historical operating data of coal mining machines, hydraulic supports, scraper conveyors, crushers, transfer conveyors, roadway belt conveyors, fully mechanized mining face control center, pumping stations, network communication systems, water supply and drainage equipment, power supply equipment, ventilation equipment, and auxiliary equipment of fully mechanized mining faces, as well as data on coal production and consumption for each production shift, day, month, and year of the fully mechanized mining face.

3. The method for evaluating the operational effectiveness of an intelligent fully mechanized mining face according to claim 1, characterized in that, The comprehensive evaluation index system for operational effectiveness described in step S2 includes primary evaluation indicators, secondary evaluation indicators, and tertiary evaluation indicators.

4. The method for evaluating the operational effectiveness of an intelligent fully mechanized mining face according to claim 3, characterized in that, The primary evaluation indicators include: equipment automatic operation effect evaluation indicators, personnel operation effect evaluation indicators, energy consumption operation effect evaluation indicators, and safety assurance operation effect evaluation indicators. Among these, the equipment automatic operation effect evaluation indicators include the following secondary evaluation indicators: coal cutting efficiency of the coal mining machine, automatic following efficiency of the hydraulic support, automatic pushing efficiency of the scraper conveyor, automatic crushing efficiency of the crusher, automatic operation efficiency of the transfer conveyor, automatic operation efficiency of the roadway conveyor, automatic control efficiency of the fully mechanized mining face control center, automatic liquid supply efficiency of the pump station, automatic operation efficiency of network communication, automatic operation efficiency of water supply and drainage equipment, automatic operation efficiency of power supply equipment, automatic operation efficiency of ventilation equipment, and automatic operation efficiency of auxiliary equipment in the fully mechanized mining face. The personnel operation effect evaluation indicators include the following secondary evaluation indicators. The evaluation indicators include: fully mechanized mining face personnel reduction rate, fully mechanized mining face manual maintenance rate, fully mechanized mining face manual intervention rate, and fully mechanized mining face labor cost rate per ton of coal. Among these, the energy consumption operation performance evaluation indicators include the following secondary evaluation indicators: fully mechanized mining face water consumption rate per ton of coal, fully mechanized mining face electricity consumption rate per ton of coal, fully mechanized mining face equipment utilization rate per ton of coal, fully mechanized mining face material cost rate per ton of coal, fully mechanized mining face equipment cost consumption rate per ton of coal, and fully mechanized mining face vehicle cost consumption rate per ton of coal. The safety assurance operation performance evaluation indicators include the following secondary evaluation indicators: coal mining machine position accuracy qualification rate, hydraulic support position accuracy qualification rate, fully mechanized mining face straightness qualification rate, coal flow load balance rate, fully mechanized mining face initial support force qualification rate, fully mechanized mining face overall start-up rate, and fully mechanized mining face fault alarm rate. The tertiary evaluation indicators include five categories: excellent, good, average, poor, and very poor.

5. The intelligent fully mechanized mining face operation performance evaluation method according to claim 4, characterized in that, The specific steps for determining the evaluation value and weight coefficient corresponding to each evaluation indicator in step S3 include: S3-1. Method for determining the evaluation values ​​of evaluation indicators: The objective assignment method is used for the first-level and third-level evaluation indicators, and the numerical calculation method is used for the second-level evaluation indicators. The first-level evaluation indicators are assigned values ​​according to the importance of the indicators to the operation effect of the fully mechanized mining face, using the percentage system. The evaluation values ​​of the third-level evaluation indicators are assigned as follows: 0.9≤Excellent≤1, 0.8≤Good<0.9, 0.7≤Medium<0.8, 0.6≤Poor<0.7, 0≤Extremely Poor<0.

6. S3-2, Specific steps for calculating the weight coefficients of evaluation indicators: S3-2-1. Construct a judgment matrix that represents the relative importance among the various evaluation indicators; S3-2-2, Determine the weights of the judgment matrix; S3-2-3, Determine the weight coefficients of the evaluation indicators for each level; S3-2-4. Perform a consistency check on the calculated weight coefficients.

6. The method for evaluating the operational effectiveness of an intelligent fully mechanized mining face according to claim 1, characterized in that, A mathematical model for the comprehensive evaluation of the operational effectiveness of intelligent fully mechanized mining faces is constructed, and calculations are performed using the following formula: ； In the formula The total score for evaluating the operational effectiveness of intelligent fully mechanized mining faces; 、 、 、 These represent the evaluation scores for the automatic operation effect of the equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance, respectively; A, B, C, and D represent the assigned values ​​for the evaluation indicators of the automatic operation effect of the equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance, respectively. The evaluation indicators for the automatic operation effect of the equipment are as follows: The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; The evaluation indicators for personnel use of operational effectiveness are as follows: The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; 、 、 、 These are the energy consumption operation performance evaluation indicators. The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; These are the evaluation indicators for the effectiveness of safety assurance operations. The corresponding numerical values ​​of the items, the weights of the first-level indicators, the weights of the second-level indicators, and the weights of the third-level indicators; These represent the total number of secondary evaluation indicators included in the evaluation indicators for the automatic operation effect of equipment, the operation effect of personnel use, the operation effect of energy consumption, and the operation effect of safety assurance.

7. The method for evaluating the operational effectiveness of an intelligent fully mechanized mining face according to claim 6, characterized in that, The operational effectiveness of the intelligent fully mechanized mining face described in step S6 has five levels: good, relatively good, average, poor, and very poor; the evaluation results of the operational effectiveness of the intelligent fully mechanized mining face correspond to... The score is: The running effect is good. The performance is good. The running effect is average. The performance was poor. The performance was extremely poor.

8. An evaluation system for evaluating the operational effectiveness of any one of the intelligent fully mechanized mining faces as described in claims 1 to 7, characterized in that, include: The data storage module is used to store the data related to the intelligent operation of the fully mechanized mining face, and to clean and preprocess the data to ensure its accuracy and integrity. The evaluation indicator system establishment module is used to establish key indicators involved in the evaluation of the operation effect of intelligent fully mechanized mining face; The evaluation value calculation module is used to calculate the evaluation values ​​of key indicators involved in the operational effectiveness evaluation index system; The weight coefficient calculation module is used to calculate the weight coefficient of each level of indicator in the performance evaluation index system. The operation performance evaluation module is used to calculate the overall operation performance score of the intelligent fully mechanized mining face and determine the evaluation result of the operation performance of the intelligent fully mechanized mining face.

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