Energy efficiency evaluation method and apparatus for equipment system of fully mechanized coal mining face

Abstract

Provided are an energy efficiency evaluation method and apparatus for an equipment system of a fully mechanized coal mining face. The method comprises: executing at least one round of evaluation process on the basis of an evaluation sequence of at least one evaluation level; for any round of evaluation process, acquiring at least one group of monitoring data of an equipment system of a fully mechanized coal mining face corresponding to the current round of evaluation process, wherein the time interval between two adjacent groups of monitoring data is determined on the basis of an evaluation level corresponding to the current round of evaluation process; on the basis of the evaluation level corresponding to the current round of evaluation process and the at least one group of monitoring data, determining at least one energy efficiency index corresponding to the evaluation level; on the basis of the at least one group of monitoring data, using an energy efficiency evaluation model to determine an evaluation value corresponding to the at least one energy efficiency index; and on the basis of each evaluation value, determining whether to perform the next round of evaluation process.

Description

Energy efficiency evaluation method and device for fully mechanized mining working face equipment system

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application is based on the Chinese patent application with application number 202311001284.1 and application date of August 9, 2023, and claims the priority of the Chinese patent application. The entire content of the Chinese patent application is hereby introduced into this application as a reference. Technical Field

[0003] The present application relates to the technical field of automated monitoring and data mining analysis of coal mine working faces, and in particular to a method and device for energy efficiency evaluation of a fully mechanized mining working face equipment system. Background Art

[0004] Efficient and intelligent mining is an important guarantee for establishing the competitive advantage of coal production enterprises, promoting the coal mining industry to move towards a new stage of high-quality development, and achieving the "dual carbon" goals.

[0005] A variety of large and heavy equipment, such as hydraulic supports, coal mining machines, and scraper conveyors, are key to the mining of fully mechanized coal mining faces. They consume various basic energy sources, such as electricity and water, to achieve continuous mining of coal resources. However, the current intelligent upgrade and construction process of fully mechanized coal mining faces mainly focuses on the completeness of information perception, data analysis accuracy, and control execution autonomy of the equipment system. However, no systematic evaluation and analysis of the energy efficiency of the equipment system operation has been carried out. As a result, it is impossible to know the operating efficiency and rationality of each piece of equipment and the entire mining process, making it difficult to identify weak links in the equipment and system that need to be optimized. Therefore, based on the demand for comprehensive data utilization and high-efficiency mining in the new stage of intelligent coal mining, it is necessary to provide an energy efficiency evaluation method for fully mechanized coal mining face equipment systems to comprehensively analyze the operating efficiency of the equipment and / or systems of the working face, and to promptly adjust inefficient operating links, thereby further promoting efficient and intelligent mining decisions.

[0006] Summary of the Invention

[0007] The first purpose of this application is to propose an energy efficiency evaluation method for a comprehensive mining working face equipment system, so as to carry out energy efficiency evaluation at different evaluation granularities for different evaluation levels, realize multi-angle monitoring and analysis of the operating efficiency of the working face equipment and / or system, identify the weak links of the working face equipment and / or system to be optimized and make timely adjustments and optimizations, and promote efficient and intelligent decision-making in mining.

[0008] The second purpose of this application is to propose an energy efficiency evaluation device for a fully mechanized mining face equipment system.

[0009] The third objective of this application is to provide an electronic device.

[0010] The fourth object of this application is to provide a computer-readable storage medium.

[0011] A fifth object of this application is to provide a computer program product.

[0012] To achieve the above objectives, the first embodiment of the present application proposes a method for energy efficiency evaluation of a fully-mechanized mining face equipment system. The method pre-divides the fully-mechanized mining face equipment system into at least one evaluation level, including:

[0013] Based on the evaluation order of the at least one evaluation level, performing at least one round of evaluation process; wherein each round of the evaluation process corresponds to one evaluation level;

[0014] For any round of the evaluation process, obtaining at least one set of monitoring data of the fully mechanized mining working face equipment system corresponding to the current round of the evaluation process; wherein the time interval between two adjacent sets of the monitoring data is determined based on the evaluation level corresponding to the current round of the evaluation process;

[0015] Determining at least one energy efficiency indicator corresponding to the evaluation level according to the evaluation level corresponding to the current round of the evaluation process and the at least one set of monitoring data;

[0016] An energy efficiency evaluation model is used to determine an evaluation value corresponding to the at least one energy efficiency indicator based on the at least one set of monitoring data; wherein the evaluation value is used to evaluate the energy efficiency level of the fully mechanized mining working face equipment system during the production time period corresponding to the energy efficiency indicator;

[0017] According to each evaluation value, it is determined whether to proceed to the next round of the evaluation process.

[0018] To achieve the above objectives, the second embodiment of the present application proposes an energy efficiency evaluation device for a fully-mechanized mining face equipment system. The device pre-divides the fully-mechanized mining face equipment system into at least one evaluation level, including:

[0019] a processing module, configured to execute at least one round of evaluation process based on the evaluation order of the at least one evaluation level; wherein each round of the evaluation process corresponds to one evaluation level;

[0020] an acquisition module, configured to acquire, for any round of the evaluation process, at least one set of monitoring data of the fully mechanized mining working face equipment system corresponding to the current round of the evaluation process; wherein the time interval between two adjacent sets of the monitoring data is determined based on the evaluation level corresponding to the current round of the evaluation process;

[0021] A first determination module is configured to determine, based on the evaluation level corresponding to the current round of the evaluation process and the at least one set of monitoring data, at least one energy efficiency indicator corresponding to the evaluation level;

[0022] a second determination module, configured to use an energy efficiency evaluation model to determine an evaluation value corresponding to the at least one energy efficiency indicator based on the at least one set of monitoring data; wherein the evaluation value is used to evaluate the energy efficiency level of the fully mechanized mining working face equipment system during the production time period corresponding to the energy efficiency indicator;

[0023] The third determining module is used to determine whether to proceed to the next round of the evaluation process according to each evaluation value.

[0024] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the energy efficiency evaluation method of the comprehensive mining working face equipment system of the first aspect mentioned above.

[0025] In order to achieve the above-mentioned objectives, the fourth embodiment of the present application proposes a computer-readable storage medium storing computer instructions, and the computer instructions are used to enable the computer to execute the energy efficiency evaluation method of the comprehensive mining working face equipment system of the first aspect mentioned above.

[0026] In order to achieve the above-mentioned objectives, the fifth embodiment of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the energy efficiency evaluation method of the comprehensive mining working face equipment system of the first aspect mentioned above.

[0027] At least one round of evaluation process is performed by following an evaluation sequence based on at least one evaluation level, wherein each round of evaluation process corresponds to an evaluation level, so that for any round of evaluation process, at least one set of monitoring data of the comprehensive mining working face equipment system corresponding to this round of evaluation process is obtained, wherein the time interval between two adjacent sets of monitoring data is determined based on the evaluation level corresponding to this round of evaluation process, thereby determining at least one energy efficiency indicator corresponding to the evaluation level according to the evaluation level and at least one set of monitoring data corresponding to this round of evaluation process, and using an energy efficiency evaluation model, determining an evaluation value corresponding to at least one energy efficiency indicator according to at least one set of monitoring data, wherein the evaluation value is used to evaluate the energy efficiency level of the comprehensive mining working face equipment system within the production time period corresponding to the energy efficiency indicator, and then determining whether to proceed to the next round of evaluation process according to each evaluation value. Thus, energy efficiency evaluations of different evaluation granularities can be performed for different evaluation levels, so as to realize multi-angle monitoring and analysis of the operating efficiency of the working face equipment and / or system, explore the weak links to be optimized in the working face equipment and / or system, and make timely adjustments and optimizations, so as to promote efficient and intelligent decision-making in mining. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] FIG1 is a flow chart of an energy efficiency evaluation method for a fully mechanized mining working face equipment system provided in an embodiment of the present application;

[0029] FIG2 is a flow chart of a method for energy efficiency evaluation of a fully mechanized mining face equipment system in a scenario provided by an embodiment of the present application;

[0030] FIG3 is a flow chart of comprehensive energy efficiency analysis of a fully mechanized mining face equipment system in a scenario provided by an embodiment of the present application;

[0031] FIG4 is a schematic structural diagram of an energy efficiency evaluation device for a fully mechanized mining working face equipment system provided in an embodiment of the present application;

[0032] FIG5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0034] The following describes the energy efficiency evaluation method and device of the fully mechanized mining working face equipment system according to the embodiment of the present application with reference to the accompanying drawings.

[0035] FIG1 is a flow chart of an energy efficiency evaluation method for a fully mechanized mining face equipment system provided in an embodiment of the present application.

[0036] It should be noted that in the embodiment of the present application, the fully mechanized mining face equipment system is pre-divided into at least one evaluation level. In some embodiments, the entire fully mechanized mining face equipment system can be split according to the production process of the fully mechanized mining face to determine at least one evaluation level.

[0037] As shown in Figure 1, the energy efficiency evaluation method for the fully mechanized mining working face equipment system includes the following steps:

[0038] Step 101: Execute at least one round of evaluation process based on the evaluation order of at least one evaluation level.

[0039] Each round of evaluation corresponds to an evaluation level. At least one evaluation level can include the equipment level, process level, and system level. The equipment level consists of at least one piece of equipment in the fully mechanized mining face equipment system, and the process level consists of at least one piece of equipment or at least one sub-process that completes the same production task.

[0040] In some embodiments, the equipment level may refer to the underlying equipment in the fully mechanized mining face equipment system, including a single hydraulic support, a shearer, a scraper conveyor, a transfer machine, a crusher, a conveyor, a pump station, etc. The process level may be composed of multiple equipment or sub-processes that complete the same production link, including a support process, a cutting and advancing process, a hydraulic support group, and a hydraulic maintenance sub-process. The support process includes a hydraulic support group and a hydraulic maintenance sub-process, the cutting and advancing process includes a shearer, a scraper conveyor, a transfer machine, a crusher, and a conveyor, the hydraulic support group includes multiple hydraulic supports, and the hydraulic maintenance sub-process includes an emulsification pump, a booster pump, and a spray pump. The system level may refer to the entire fully mechanized mining face system, including the support process and the cutting and advancing process. The relationship between the equipment level, process level, and system level is as follows: the process level includes different equipment or sub-processes, and multiple process levels constitute the system level.

[0041] Wherein, in the case where at least one evaluation level includes equipment level, process level and system level, the evaluation order of at least one evaluation level includes: system level, process level, equipment level, or equipment level, process level, system level. That is, a round of evaluation process corresponding to the system level can be executed first, then a round of evaluation process corresponding to the process level can be executed, and finally a round of evaluation process corresponding to the equipment level can be executed to achieve a gradually refined analysis from macro to micro. Alternatively, a round of evaluation process corresponding to the equipment level can be executed first to integrate the evaluation results corresponding to the equipment level into the process level, then a round of evaluation process corresponding to the process level can be executed to integrate the evaluation results corresponding to the equipment level and the evaluation results corresponding to the process level into the system level, and finally a round of evaluation process corresponding to the system level can be executed to achieve an analysis from micro to macro, and the evaluation results corresponding to the process level can be integrated with the evaluation results corresponding to the equipment level, and the evaluation results corresponding to the system level can be integrated with the evaluation results corresponding to the equipment level and the evaluation results corresponding to the process level.

[0042] It should be noted that, in some embodiments, performing at least one round of evaluation based on the evaluation order of at least one evaluation level does not necessarily mean that an evaluation must be performed for each evaluation level. For further explanation, please refer to the description of step 105 and will not be repeated here.

[0043] Step 102: for any round of evaluation process, obtain at least one set of monitoring data of the fully mechanized mining working face equipment system corresponding to this round of evaluation process.

[0044] The time interval between two consecutive sets of monitoring data is determined based on the evaluation level of the current round. This means that the time granularity of the monitoring data obtained during the evaluation process varies across different evaluation levels. This allows energy efficiency evaluations to be conducted at different granularities for different evaluation levels.

[0045] In some embodiments, when at least one evaluation level includes the equipment level, the process level, and the system level, a real-time analysis principle may be employed for the evaluation process corresponding to the equipment level, while a longer time granularity approach may be employed for the evaluation processes corresponding to the process level and the system level. For example, the time granularity may be set to 5 minutes for the evaluation process corresponding to the equipment level, i.e., a set of monitoring data is acquired every 5 minutes; the time granularity may be set to 1 hour for the evaluation process corresponding to the process level, i.e., a set of monitoring data is acquired every 1 hour; and the time granularity may be set to 24 hours for the evaluation process corresponding to the system level, i.e., a set of monitoring data is acquired every 24 hours.

[0046] Among them, the monitoring data may include one or more of the hydraulic support column pressure, coal mining machine drum height, coal mining machine traction speed, coal mining machine power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, transfer machine load, transfer machine power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption, hydraulic support initial support force, hydraulic support cyclic friction resistance, coal mining machine advancement degree, and estimated amount of coal cut by a coal mining machine.

[0047] It should be noted that the hydraulic support column pressure, coal mining machine drum height, coal mining machine traction speed, coal mining machine power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, transfer machine load, transfer machine power consumption, conveyor load, conveyor power consumption, pump station pressure, and pump station power consumption are direct monitoring data and can be directly monitored; the hydraulic support initial support force, hydraulic support cyclic friction resistance, coal mining machine advancement degree, and the estimated amount of coal cut by the coal mining machine are indirect monitoring data, which cannot be directly monitored and need to be indirectly calculated.

[0048] Step 103: Determine at least one energy efficiency indicator corresponding to the evaluation level according to the evaluation level corresponding to the current round of evaluation process and at least one set of monitoring data.

[0049] Among them, energy efficiency indicators can be understood as indicators corresponding to the evaluation level and applicable to energy efficiency evaluation and analysis.

[0050] In some embodiments, when the evaluation level corresponding to this round of evaluation process is the equipment level, the hydraulic support energy efficiency index, coal mining machine energy efficiency index, scraper conveyor energy efficiency index, crusher energy efficiency index, transfer machine energy efficiency index, transport machine energy efficiency index and pump station energy efficiency index corresponding to the equipment level can be determined based on at least one set of monitoring data corresponding to this round of evaluation process. Alternatively, when the evaluation level corresponding to this round of evaluation process is the process level, the support process energy efficiency index, hydraulic support group support energy efficiency index, hydraulic maintenance sub-process energy efficiency index and cutting and propulsion process energy efficiency index corresponding to the process level can be determined based on at least one set of monitoring data corresponding to this round of evaluation process. Alternatively, when the evaluation level corresponding to this round of evaluation process is the system level, the system-level energy efficiency index corresponding to the system level can be determined based on at least one set of monitoring data corresponding to this round of evaluation process.

[0051] In some embodiments, when the evaluation level corresponding to the current round of evaluation process is the equipment level, the following formula can be used to determine the hydraulic support energy efficiency index z1 corresponding to the equipment level:

[0052] Where P is the estimated amount of coal cut by a shearer, e zj is the type of energy consumed by the hydraulic support, n zj The total number of energy types consumed by the hydraulic support;

[0053] The following formula is used to determine the shearer energy efficiency index z2 corresponding to the equipment level:

[0054] Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c The total number of energy types consumed by the shearer;

[0055] The following formula is used to determine the scraper conveyor energy efficiency index z3 corresponding to the equipment level:

[0056] Where P is the estimated amount of coal cut by a shearer, e g is the type of energy consumed by the scraper conveyor, n g The total number of energy types consumed by the scraper conveyor;

[0057] The crusher energy efficiency index z4 corresponding to the equipment level is determined using the following formula:

[0058] Where P is the estimated amount of coal cut by a shearer, e p is the type of energy consumed by the crusher, n p The total number of energy types consumed by the crusher;

[0059] The following formula is used to determine the energy efficiency index z5 of the transfer machine corresponding to the equipment level:

[0060] Where P is the estimated amount of coal cut by a shearer, e z is the type of energy consumed by the transfer machine, n z The total number of energy types consumed by the transfer machine;

[0061] The following formula is used to determine the transport aircraft energy efficiency index z6 corresponding to the equipment level:

[0062] Where P is the estimated amount of coal cut by a shearer, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by transport aircraft;

[0063] The following formula is used to determine the pump station energy efficiency index z7 corresponding to the equipment level:

[0064] Where P is the estimated amount of coal cut by a shearer, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

[0065] In some embodiments, when the evaluation level corresponding to the current round of evaluation process is the process level, the following formula may be used to determine the support process energy efficiency index q1 corresponding to the process level:

[0066] Where P is the estimated amount of coal cut by a shearer, e zh is the type of energy consumed in the support process, n zh The total number of energy types consumed in the support process;

[0067] The following formula is used to determine the energy efficiency index q2 of the hydraulic support group support corresponding to the process level:

[0068] Where F(t) is the total working resistance of the hydraulic support in the t-th area, S(t) is the total area of ​​the top beam of the hydraulic support in the t-th area, and t is the area number;

[0069] The following formula is used to determine the energy efficiency index q3 of the hydraulic maintenance sub-process corresponding to the process level:

[0070] Where P is the estimated amount of coal cut by a shearer, e rh is the type of energy consumed by the emulsification pump, n rh is the total number of energy types consumed by the emulsification pump, e zy is the type of energy consumed by the booster pump, nzy is the total number of energy types consumed by the booster pump, e pw is the type of energy consumed by the spray pump, n pw The total number of energy types consumed by the spray pump;

[0071] The following formula is used to determine the energy efficiency index q4 of the cutting and advancing process corresponding to the process level:

[0072] Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by the transport aircraft.

[0073] In some embodiments, when the evaluation level corresponding to the current round of evaluation process is the system level, the following formula may be used to determine the system-level energy efficiency index x1 corresponding to the system level:

[0074] Where P(j) is the estimated amount of coal cut in the jth cut, K is the total number of cuts in the statistical period, e zh is the type of energy consumed in the support process, n zh is the total number of energy types consumed in the support process, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y is the total number of energy types consumed by the transport aircraft, e b is the type of energy consumed by the pumping station, n bThe total number of energy types consumed by the pumping station.

[0075] Step 104 : Using an energy efficiency evaluation model, determine an evaluation value corresponding to at least one energy efficiency indicator based on at least one set of monitoring data.

[0076] The evaluation value is used to assess the energy efficiency level of the fully mechanized mining face equipment system during the production period corresponding to the energy efficiency index. The evaluation value ranges from 0 to 1. Values ​​closer to 1 indicate higher energy efficiency, while values ​​closer to 0 indicate lower energy efficiency.

[0077] The mathematical expression of the energy efficiency evaluation model is as follows: Min[θ zb -ε(e - S - +e + S + )]

[0078] st λ j ≥0,S - ≥0,S + ≥0,j=1,2,…n

[0079] Among them, θ zb is the evaluation value corresponding to the energy efficiency index; ε is a non-Archimedean infinitesimal variable; e - and e + is a unit vector; S - and S + is the slack variable; i is a dual variable; X1 is the input variable of the first decision unit, and the first decision unit is the first set of monitoring data in at least one set of monitoring data; Y1 is the output variable of the first decision unit; X j is the input variable of the j-th decision unit, and the j-th decision unit is the j-th group of monitoring data in at least one group of monitoring data; Y j is the output variable of the jth decision unit; n is the total number of at least one set of monitoring data.

[0080] It should be noted that when using the mathematical expression of the above energy efficiency evaluation model to solve the evaluation value corresponding to the energy efficiency index, the input variable of each decision unit is the numerator in the calculation formula used to solve the energy efficiency index, and the output variable is the denominator in the calculation formula used to solve the energy efficiency index. For example, when solving the evaluation value corresponding to z1 (the energy efficiency index of the hydraulic support corresponding to the equipment level), X1 is calculated based on the first set of monitoring data. Y1 is the estimated amount of coal cut by the shearer in the first set of monitoring data, that is, P.

[0081] In this way, it is possible to obtain corresponding monitoring data for different evaluation levels, and use the above energy efficiency evaluation model to conduct energy efficiency evaluation for different evaluation levels respectively.

[0082] Step 105: Determine whether to proceed to the next round of evaluation process based on each evaluation value.

[0083] It should be noted that in some embodiments, after performing the current round of evaluation and determining each evaluation value, whether to perform the next round of evaluation can be determined based on the magnitude of each evaluation value. In other words, it does not mean that a round of evaluation must be performed for each evaluation level.

[0084] In some embodiments, when any evaluation value is lower than a preset threshold, the production time period corresponding to the evaluation value can be determined to be a low-energy-efficiency production time period, so that the next round of evaluation process is performed for the low-energy-efficiency production time period. Among them, the setting of the preset threshold is not limited in the embodiments of the present application. In some embodiments, the preset threshold can be set according to manual experience. For example, the preset threshold can be set to 0.9, or the preset threshold can be dynamically adjusted according to actual application requirements. This is not limited in the embodiments of the present application. Correspondingly, in response to each evaluation value being not lower than the preset threshold, indicating that there is no low-energy-efficiency production time period, the next round of evaluation process can be stopped.

[0085] As an example, in response to the evaluation order of at least one evaluation level including: system level, process level, and equipment level, when performing the first round of evaluation process, at least one group of monitoring data of the comprehensive mining working face equipment system with a time granularity of 24 hours is obtained, so that the system-level energy efficiency index corresponding to each group of monitoring data can be determined based on the acquired monitoring data, and the energy efficiency evaluation model is used to determine the evaluation value corresponding to each system-level energy efficiency index based on at least one group of monitoring data, and then, when any evaluation value is lower than a preset threshold, the production time period corresponding to the evaluation value is determined to be a low-energy-efficiency production time period, and a second round of evaluation process is performed for the low-energy-efficiency production time period, wherein the evaluation level corresponding to the second round of evaluation process is the process level, or, when all evaluation values ​​are not lower than the preset threshold, the second round of evaluation process is no longer performed.

[0086] The energy efficiency evaluation method of the comprehensive mining working face equipment system provided in the embodiment of the present application performs at least one round of evaluation process by performing an evaluation sequence based on at least one evaluation level, wherein each round of evaluation process corresponds to an evaluation level, so as to obtain at least one set of monitoring data of the comprehensive mining working face equipment system corresponding to any round of evaluation process, wherein the time interval between two adjacent sets of monitoring data is determined based on the evaluation level corresponding to the current round of evaluation process, thereby determining at least one energy efficiency index corresponding to the evaluation level according to the evaluation level corresponding to the current round of evaluation process and at least one set of monitoring data, and using an energy efficiency evaluation model, determining the evaluation value corresponding to at least one energy efficiency index according to at least one set of monitoring data, wherein the evaluation value is used to evaluate the energy efficiency level of the comprehensive mining working face equipment system within the production time period corresponding to the energy efficiency index, and then determining whether to proceed to the next round of evaluation process according to each evaluation value. Thus, energy efficiency evaluations of different evaluation granularities can be performed for different evaluation levels, so as to realize multi-angle monitoring and analysis of the operating efficiency of the working face equipment and / or system, explore the weak links to be optimized in the working face equipment and / or system, and make timely adjustments and optimizations, so as to promote efficient and intelligent decision-making in mining.

[0087] In order to clearly illustrate the above embodiment, an example is now given for illustration.

[0088] Figure 2 is a flow chart of a method for evaluating the energy efficiency of a fully mechanized mining face equipment system in a scenario provided by an embodiment of the present application.

[0089] As shown in FIG2 , the energy efficiency evaluation method of the fully mechanized mining working face equipment system may include the following steps:

[0090] Step 201: monitoring the data of the fully mechanized mining face equipment system.

[0091] Determine the direct monitoring indicators of major equipment and systems such as hydraulic supports, coal mining machines, scraper conveyors, crushers, transfer machines, transporters, pumping stations, etc., and conduct real-time monitoring. For indicators that cannot be directly monitored, choose indirect calculation methods to achieve monitoring.

[0092] Among them, the direct monitoring indicators include the pressure of the hydraulic support column, the height of the coal mining machine drum, the traction speed of the coal mining machine, the power consumption of the coal mining machine, the load of the scraper conveyor, the power consumption of the scraper conveyor, the load of the crusher, the power consumption of the crusher, the load of the transfer machine, the power consumption of the transfer machine, the load of the conveyor, the power consumption of the conveyor, the pressure of the pumping station, the power consumption of the pumping station, etc. The indirect calculation indicators include the initial support force of the hydraulic support, the cyclic friction resistance of the hydraulic support, the advancement degree of the coal mining machine, the estimated amount of coal cut by the coal mining machine, etc.

[0093] Step 202: Division of the fully mechanized mining process.

[0094] In some embodiments, the entire fully mechanized mining face equipment system can be broken down based on the production process of the fully mechanized mining face. This includes an equipment level based on individual equipment, a process level based on the coal mining and support processes, and a system level representing the entire fully mechanized mining face equipment system. The relationship among the equipment level, process level, and system level is as follows: the process level includes different equipment or sub-processes, and multiple process levels comprise the system level.

[0095] Among them, the equipment level refers to the bottom equipment of the comprehensive mining working face equipment system, including single hydraulic supports, coal mining machines, scraper conveyors, transfer machines, crushers, conveyors, pumping stations, etc.; the process level is composed of multiple equipment or sub-processes that complete the same production link, including support process, cutting and advancing process, hydraulic support group and hydraulic maintenance sub-process, among which, the support process includes hydraulic support group and hydraulic maintenance sub-process, the cutting and advancing process includes coal mining machines, scraper conveyors, transfer machines, crushers and conveyors, the hydraulic support group includes multiple hydraulic supports, and the hydraulic maintenance sub-process includes emulsification pumps, booster pumps and spray pumps; the system level refers to the entire comprehensive mining working face system, including support process and cutting and advancing process.

[0096] Step 203: Establish a multi-level energy efficiency indicator system.

[0097] In some embodiments, based on the hierarchical relationship of the equipment level, process level and system level of the comprehensive mining working face equipment system divided in step 202, indicators suitable for energy efficiency evaluation and analysis can be determined for different levels respectively. At the same time, the indicators at each level have different degrees of precision, which can reflect the energy efficiency issues of each equipment and system of the comprehensive mining working face equipment system from multiple angles, and at the same time determine the evaluation benchmark of each indicator.

[0098] The multi-level energy efficiency indicator system refers to the indicators used for energy efficiency analysis at the equipment level, process level, and system level. The establishment of a multi-level energy efficiency indicator system is to establish the following energy efficiency evaluation and analysis models at different levels:

[0099] 1. Equipment-level energy efficiency indicators include:

[0100] 1) The calculation formula of the hydraulic support energy efficiency index z1 is:

[0101] Where P is the estimated amount of coal cut by a shearer, e zj is the type of energy consumed by the hydraulic support, n zj The total number of energy types consumed by the hydraulic support.

[0102] 2) Coal mining machine energy efficiency index z2, calculated as follows:

[0103] Where P is the estimated amount of coal cut by a shearer, e cis the type of energy consumed by the coal mining machine, n c The total number of energy types consumed by the coal mining machine.

[0104] 3) Scraper conveyor energy efficiency index z3, the calculation formula is:

[0105] Where P is the estimated amount of coal cut by a shearer, e g is the type of energy consumed by the scraper conveyor, n g The total number of energy types consumed by the scraper conveyor.

[0106] 4) Crusher energy efficiency index z4, calculated as:

[0107] Where P is the estimated amount of coal cut by a shearer, e p is the type of energy consumed by the crusher, n p The total number of energy types consumed by the crusher.

[0108] 5) The transfer machine energy efficiency index z5 is calculated as follows:

[0109] Where P is the estimated amount of coal cut by a shearer, e z is the type of energy consumed by the transfer machine, n z The total number of energy types consumed by the transfer machine.

[0110] 6) Transporter energy efficiency index z6, calculated as follows:

[0111] Where P is the estimated amount of coal cut by a shearer, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by the transport aircraft.

[0112] 7) Pump station energy efficiency index z7, calculated as follows:

[0113] Where P is the estimated amount of coal cut by a shearer, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

[0114] 2. Process-level energy efficiency indicators include:

[0115] 1) Energy efficiency index q1 of the support process, calculated as follows:

[0116] Where P is the estimated amount of coal cut by a shearer, e zh is the type of energy consumed in the support process, nzh The total number of energy types consumed in the support process.

[0117] 2) Energy efficiency index q2(t) of hydraulic support group support.

[0118] In order to further refine the analysis of the support quality, the working face can be divided into multiple areas according to the number of supports, namely the first area hydraulic support group support energy efficiency index, the second area hydraulic support group support energy efficiency index, the third area hydraulic support group support energy efficiency index, etc. The calculation formula for the hydraulic support group support energy efficiency index in each area is:

[0119] Among them, F(t) is the total working resistance of the hydraulic support in the t-th area, S(t) is the total area of ​​the top beam of the hydraulic support in the t-th area, and t is the area number.

[0120] 3) The energy efficiency index q3 of the hydraulic maintenance sub-process is calculated as follows:

[0121] Where P is the estimated amount of coal cut by a shearer, e rh is the type of energy consumed by the emulsification pump, n rh is the total number of energy types consumed by the emulsification pump, e zy is the type of energy consumed by the booster pump, n zy is the total number of energy types consumed by the booster pump, e pw is the type of energy consumed by the spray pump, n pw The total number of energy types consumed by the spray pump.

[0122] 4) The energy efficiency index q4 of the cutting and advancing process is calculated as follows:

[0123] Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by the transport aircraft.

[0124] 3. System-level energy efficiency index x1, calculated as:

[0125] Where P(j) is the estimated amount of coal cut in the jth cut, K is the total number of cuts in the statistical period, e zh is the type of energy consumed in the support process, n zh is the total number of energy types consumed in the support process, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y is the total number of energy types consumed by the transport aircraft, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

[0126] Step 204: Determine the energy efficiency evaluation granularity.

[0127] In some embodiments, based on the hierarchical relationship among the equipment level, process level, and system level of the comprehensive mining working face equipment system divided in step 202, and the energy efficiency evaluation and analysis models of different levels established in step 303, the equipment-level energy efficiency evaluation and analysis can be analyzed using a real-time analysis principle, while the process-level energy efficiency evaluation and analysis and the system-level energy efficiency evaluation and analysis can be analyzed using a method with a longer time granularity.

[0128] It should be noted that in the embodiments of the present application, the determination of the energy efficiency evaluation granularity includes two aspects: one is the real-time analysis of energy efficiency evaluation analysis models at different levels; the other is the evaluation order of energy efficiency evaluation analysis models at different levels.

[0129] Among them, the real-time analysis of energy efficiency evaluation and analysis models at different levels means that since the equipment level is at the bottom of the entire comprehensive mining system, its energy efficiency level directly determines the performance of the equipment. By real-time monitoring of the equipment energy efficiency level, energy efficiency abnormalities can be discovered in time, so that the equipment can be adjusted as soon as possible. Therefore, the time granularity of the energy efficiency evaluation and analysis at the equipment level should be 5 minutes; for the process level, it takes a certain amount of time to complete the corresponding links. Therefore, the time granularity of the energy efficiency evaluation and analysis at the process level should be 1 hour; for more comprehensive statistical analysis, the time granularity of the energy efficiency evaluation and analysis at the system level should be 24 hours.

[0130] The evaluation order of energy efficiency evaluation and analysis models at different levels means that the system-level energy efficiency evaluation and analysis can be carried out first, the evaluation results can be decomposed into process-level energy efficiency, and then the process-level energy efficiency evaluation and analysis can be carried out, and finally the equipment-level energy efficiency evaluation and analysis can be carried out, that is, the analysis can be gradually refined from macro to micro; or the equipment-level energy efficiency evaluation and analysis can be carried out first, and the equipment-level analysis results can be integrated into the process level, and finally integrated into the system-level energy efficiency, in the order from micro to macro.

[0131] Step 205: Establishing an energy efficiency evaluation model.

[0132] In some embodiments, an energy efficiency evaluation model for the fully-mechanized mining face equipment system may be established based on the hierarchical relationship among the equipment level, process level, and system level of the fully-mechanized mining face equipment system divided according to step 202. The energy efficiency evaluation model may include a fully-mechanized mining system-level energy efficiency evaluation and analysis model, a fully-mechanized mining process-level energy efficiency evaluation and analysis model, and a fully-mechanized mining equipment-level energy efficiency evaluation and analysis model.

[0133] Among them, the energy efficiency evaluation model is established as follows:

[0134] Among them, θ zb is the evaluation value corresponding to the energy efficiency index; ε is a non-Archimedean infinitesimal variable; e - and e + is a unit vector; S - and S + is the slack variable; i is the dual variable; X1 is the input variable of the first decision-making unit; Y1 is the output variable of the first decision-making unit; X j is the input variable of the jth decision-making unit; Y j is the output variable of the jth decision-making unit; n is the total number of decision-making units. The decision-making unit refers to any set of monitoring data for a certain equipment (process or system) that needs to be evaluated for energy efficiency.

[0135] It should be noted that when using the above formula (1) to solve the evaluation value corresponding to the energy efficiency index, the input variable of each decision unit is the numerator in the calculation formula used when solving the energy efficiency index, and the output variable is the denominator in the calculation formula used when solving the energy efficiency index. For example, when solving the evaluation value corresponding to z1 (the energy efficiency index of the hydraulic support corresponding to the equipment level), X1 is calculated based on the first set of monitoring data. Y1 is the estimated amount of coal cut by the shearer in the first set of monitoring data, that is, P.

[0136] Therefore, for the energy efficiency evaluation and analysis at the equipment level, process level, and system level of comprehensive mining, it is only necessary to collect the corresponding data based on the energy efficiency analysis indicators at the equipment level, process level, and system level, and then use the above formula (1) to evaluate the energy efficiency of different equipment, processes, and the entire system respectively.

[0137] Step 206: Comprehensive analysis of energy efficiency of fully mechanized mining face equipment system.

[0138] Therefore, it is possible to implement hierarchical and granular division of the evaluation and analysis of the entire fully mechanized mining face equipment system according to the mining process and fully mechanized mining system architecture, determine the energy efficiency evaluation and analysis levels at the equipment level, process level, and system level, establish a multi-level energy efficiency analysis indicator system, and carry out real-time, intermittent, and statistical evaluation and analysis granularity at different levels to achieve refined and hierarchical energy efficiency information analysis of the fully mechanized mining face equipment system, thereby judging the energy efficiency abnormalities of the entire intelligent mining process and providing a decision-making basis for flexible production of intelligent mining.

[0139] In some embodiments, the specific process of comprehensive energy efficiency analysis of fully mechanized mining working face equipment system is shown in FIG3 :

[0140] Step 301: Obtain at least one set of monitoring data at the system level of the fully mechanized mining face equipment system.

[0141] It should be noted that, since at least one set of monitoring data at the system level is obtained, the time interval between two adjacent sets of monitoring data is 24 hours.

[0142] In some embodiments, the number of groups of monitoring data obtained can be determined according to the evaluation duration. For example, in response to the evaluation duration being 30 days, the number of groups of monitoring data obtained is 30 groups.

[0143] Step 302 : using the above calculation formula for calculating the system-level energy efficiency index, and according to at least one set of system-level monitoring data, determining the system-level energy efficiency index corresponding to each set of monitoring data.

[0144] Step 303 : Using the energy efficiency evaluation model, according to at least one set of system-level monitoring data, determine an evaluation value corresponding to each system-level energy efficiency indicator.

[0145] The evaluation value is used to assess the energy efficiency level of the fully-mechanized mining face equipment system during the production period corresponding to the energy efficiency index. The energy efficiency evaluation model can then be used to assess the overall energy efficiency level of the fully-mechanized mining face equipment system within each 24-hour period.

[0146] It should be noted that if the evaluation value corresponding to any system-level energy efficiency indicator falls below the preset threshold, it indicates that there was an inefficient production link within the 24-hour period corresponding to that evaluation value. Therefore, the corresponding 24-hour period can be identified as a low-efficiency production period. This can help identify weak links in the system that need to be optimized and make timely adjustments to further promote efficient and intelligent mining decisions.

[0147] Step 304: for the low energy-efficiency production time period diagnosed in step 303, obtain at least one set of process-level monitoring data within the time period, and use the above-mentioned calculation formula for calculating the process-level energy efficiency index to determine the process-level energy efficiency index corresponding to each set of monitoring data based on at least one set of process-level monitoring data, and use the energy efficiency evaluation model to determine the evaluation value corresponding to each process-level energy efficiency index based on at least one set of process-level monitoring data.

[0148] Among them, the time interval between two adjacent sets of monitoring data at the process level is 1 hour.

[0149] It should be noted that since the determined low-energy-efficiency production time period is at least 24 hours, monitoring data for every hour within the 24 hours can be obtained. At this time, each set of monitoring data at the process level is monitoring data for every hour, while each set of monitoring data at the system level is monitoring data for every 24 hours. The two are not the same.

[0150] Similarly, if the evaluation value corresponding to any process-level energy efficiency indicator falls below a preset threshold, it indicates that there was an inefficient production link within the one-hour period corresponding to that evaluation value. Therefore, the one-hour period corresponding to that evaluation value can be identified as a low-energy production period. This allows for identifying weak links in the mining process that need to be optimized and for timely adjustments to be made, further promoting efficient and intelligent mining decisions.

[0151] Step 305: For the low energy-efficiency production time period diagnosed in step 304, obtain at least one set of equipment-level monitoring data within the time period, and use the above-mentioned calculation formula for calculating the equipment-level energy efficiency index to determine the equipment-level energy efficiency index corresponding to each set of monitoring data based on at least one set of equipment-level monitoring data, and use the energy efficiency evaluation model to determine the evaluation value corresponding to each equipment-level energy efficiency index based on at least one set of equipment-level monitoring data.

[0152] Among them, the time interval between two adjacent sets of monitoring data at the equipment level is 5 minutes.

[0153] It should be noted that since the determined low-energy-efficiency production time period is at least one hour, monitoring data can be obtained every 5 minutes within each hour. At this time, each set of monitoring data at the equipment level is monitoring data every 5 minutes, while each set of monitoring data at the process level is monitoring data every hour, and each set of monitoring data at the system level is monitoring data every 24 hours. The three are not the same.

[0154] Similarly, if the evaluation value for any equipment-level energy efficiency indicator falls below a preset threshold, it indicates that there was an inefficient production phase within the hour corresponding to that evaluation value. Therefore, the hour corresponding to that evaluation value can be identified as a low-efficiency production period. This allows for identifying weak links in mining equipment that require optimization and enabling timely adjustments to further promote efficient and intelligent mining decisions.

[0155] In some embodiments, for low energy-efficiency production time periods of different processes, at least one set of equipment-level monitoring data within the low energy-efficiency production time periods may be obtained to perform equipment-level energy efficiency evaluation and analysis. For example, for the low-energy-efficiency production time period of the support process, at least one set of monitoring data at the equipment level within the time period can be collected, and the above-mentioned calculation formula for calculating the equipment-level energy efficiency index can be used to determine the equipment-level energy efficiency index corresponding to each set of monitoring data based on at least one set of monitoring data at the equipment level, and the energy efficiency evaluation model can be used to determine the evaluation value corresponding to each equipment-level energy efficiency index based on at least one set of monitoring data at the equipment level, so as to further evaluate the energy efficiency levels of different supports and analyze the impact of the energy efficiency of different supports in the comprehensive mining working face on the energy efficiency of the entire support process. Alternatively, for the low-energy-efficiency production time period of the cutting and advancing process, at least one set of monitoring data at the equipment level within the time period can be collected, and the above-mentioned calculation formula for calculating the equipment-level energy efficiency index can be used to determine the equipment-level energy efficiency index corresponding to each set of monitoring data based on at least one set of monitoring data at the equipment level, and the energy efficiency evaluation model can be used to determine the evaluation value corresponding to each equipment-level energy efficiency index based on at least one set of monitoring data at the equipment level, so as to further evaluate the energy efficiency levels of different equipment and analyze the impact of the energy efficiency of different equipment in the comprehensive mining working face on the energy efficiency of the entire cutting and advancing process.

[0156] In this way, the energy efficiency of the fully mechanized mining face equipment system can be diagnosed at different levels and granularities, thereby obtaining more scientific and detailed results.

[0157] In summary, the energy efficiency evaluation method for the fully-mechanized mining face equipment system provided in the embodiment of the present application realizes a relatively comprehensive fully-mechanized mining data perception foundation by constructing a multi-system data monitoring system for the fully-mechanized mining face of a coal mine; according to the fully-mechanized mining face mining process and the fully-mechanized mining system architecture, the energy efficiency evaluation and analysis levels of the fully-mechanized mining face equipment system are divided, and the distributed evaluation methods at the equipment level, process level, and system level are determined; and energy efficiency evaluation and analysis methods with different evaluation and analysis granularities such as real-time, intermittent, and statistical are determined for different levels, so as to realize a more refined and hierarchical energy efficiency information analysis of the fully-mechanized mining face equipment system. The present application can realize multi-angle monitoring and analysis of the energy efficiency information of the fully-mechanized mining face equipment system, thereby judging the energy efficiency abnormality links of the entire intelligent mining process, and providing a basis for flexible production decision-making in intelligent mining.

[0158] In order to implement the above embodiments, the present application also proposes an energy efficiency evaluation device for a fully mechanized mining working face equipment system.

[0159] Figure 4 is a structural schematic diagram of an energy efficiency evaluation equipment for a fully mechanized mining working face equipment system provided in an embodiment of the present application.

[0160] It should be noted that in the embodiment of the present application, the fully mechanized mining face equipment system is pre-divided into at least one evaluation level. In some embodiments, the entire fully mechanized mining face equipment system can be split according to the production process of the fully mechanized mining face to determine at least one evaluation level.

[0161] As shown in FIG4 , the energy efficiency evaluation device for the fully mechanized mining working face equipment system includes: a processing module 41 , an acquisition module 42 , a first determination module 43 , a second determination module 44 and a third determination module 45 .

[0162] A processing module 41 is configured to execute at least one round of evaluation process based on the evaluation order of at least one evaluation level, wherein each round of evaluation process corresponds to one evaluation level;

[0163] An acquisition module 42 is configured to acquire, for any round of evaluation, at least one set of monitoring data of the fully mechanized mining face equipment system corresponding to the current round of evaluation; wherein the time interval between two adjacent sets of monitoring data is determined based on the evaluation level corresponding to the current round of evaluation;

[0164] A first determination module 43 is configured to determine at least one energy efficiency indicator corresponding to the evaluation level according to the evaluation level corresponding to the current evaluation process and at least one set of monitoring data;

[0165] A second determination module 44 is configured to determine an evaluation value corresponding to at least one energy efficiency indicator based on at least one set of monitoring data using an energy efficiency evaluation model; wherein the evaluation value is used to evaluate the energy efficiency level of the fully mechanized mining face equipment system during the production period corresponding to the energy efficiency indicator;

[0166] The third determining module 45 is configured to determine whether to proceed to the next round of evaluation process based on each evaluation value.

[0167] Furthermore, in a possible implementation of the embodiment of the present application, the mathematical expression of the energy efficiency evaluation model is as follows: Min[θ zb -ε(e - S - +e + S + )]

[0168] st λ j ≥0,S - ≥0,S +≥0,j=1,2,…n

[0169] Among them, θ zb is the evaluation value corresponding to the energy efficiency index; ε is a non-Archimedean infinitesimal variable; e - and e + is a unit vector; S - and S + is the slack variable; i is a dual variable; X1 is the input variable of the first decision unit, and the first decision unit is the first set of monitoring data in at least one set of monitoring data; Y1 is the output variable of the first decision unit; X j is the input variable of the j-th decision unit, and the j-th decision unit is the j-th group of monitoring data in at least one group of monitoring data; Y j is the output variable of the jth decision unit; n is the total number of at least one set of monitoring data.

[0170] Furthermore, in a possible implementation of the embodiment of the present application, at least one evaluation level includes an equipment level, a process level, and a system level. The equipment level is composed of at least one equipment in the fully mechanized mining face equipment system, and the process level is composed of at least one equipment or at least one sub-process that completes the same production task. The first determination module 43 includes:

[0171] The first determining unit is configured to determine, when the evaluation level corresponding to the current round of evaluation process is the equipment level, the hydraulic support energy efficiency index, the coal mining machine energy efficiency index, the scraper conveyor energy efficiency index, the crusher energy efficiency index, the transfer machine energy efficiency index, the transport machine energy efficiency index, and the pump station energy efficiency index corresponding to the equipment level based on at least one set of monitoring data corresponding to the current round of evaluation process; or

[0172] The second determining unit is used to determine, when the evaluation level corresponding to the current round of evaluation process is the process level, the support process energy efficiency index, the hydraulic support group support energy efficiency index, the hydraulic maintenance sub-process energy efficiency index and the cutting and advancing process energy efficiency index corresponding to the process level based on at least one set of monitoring data corresponding to the current round of evaluation process; or

[0173] The third determining unit is configured to determine, when the evaluation level corresponding to the current round of evaluation process is the system level, a system-level energy efficiency indicator corresponding to the system level based on at least one set of monitoring data corresponding to the current round of evaluation process.

[0174] Furthermore, in a possible implementation of the embodiment of the present application, the first determining unit is specifically configured to:

[0175] The following formula is used to determine the energy efficiency index z1 of the hydraulic support corresponding to the equipment level:

[0176] Where P is the estimated amount of coal cut by a shearer, e zj is the type of energy consumed by the hydraulic support, n zj The total number of energy types consumed by the hydraulic support;

[0177] The following formula is used to determine the shearer energy efficiency index z2 corresponding to the equipment level:

[0178] Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c The total number of energy types consumed by the shearer;

[0179] The following formula is used to determine the scraper conveyor energy efficiency index z3 corresponding to the equipment level:

[0180] Where P is the estimated amount of coal cut by a shearer, e g is the type of energy consumed by the scraper conveyor, n g The total number of energy types consumed by the scraper conveyor;

[0181] The crusher energy efficiency index z4 corresponding to the equipment level is determined using the following formula:

[0182] Where P is the estimated amount of coal cut by a shearer, e p is the type of energy consumed by the crusher, n p The total number of energy types consumed by the crusher;

[0183] The following formula is used to determine the energy efficiency index z5 of the transfer machine corresponding to the equipment level:

[0184] Where P is the estimated amount of coal cut by a shearer, e z is the type of energy consumed by the transfer machine, n z The total number of energy types consumed by the transfer machine;

[0185] The following formula is used to determine the transport aircraft energy efficiency index z6 corresponding to the equipment level:

[0186] Where P is the estimated amount of coal cut by a shearer, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by transport aircraft;

[0187] The following formula is used to determine the pump station energy efficiency index z7 corresponding to the equipment level:

[0188] Where P is the estimated amount of coal cut by a shearer, eb is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

[0189] Furthermore, in a possible implementation of the embodiment of the present application, the second determining unit is specifically configured to:

[0190] The following formula is used to determine the support process energy efficiency index q1 corresponding to the process level:

[0191] Where P is the estimated amount of coal cut by a shearer, e zh is the type of energy consumed in the support process, n zh The total number of energy types consumed in the support process;

[0192] The following formula is used to determine the energy efficiency index q2 of the hydraulic support group support corresponding to the process level:

[0193] Where F(t) is the total working resistance of the hydraulic support in the t-th area, S(t) is the total area of ​​the top beam of the hydraulic support in the t-th area, and t is the area number;

[0194] The following formula is used to determine the energy efficiency index q3 of the hydraulic maintenance sub-process corresponding to the process level:

[0195] Where P is the estimated amount of coal cut by a shearer, e rh is the type of energy consumed by the emulsification pump, n rh is the total number of energy types consumed by the emulsification pump, e zy is the type of energy consumed by the booster pump, n zy is the total number of energy types consumed by the booster pump, e pw is the type of energy consumed by the spray pump, n pw The total number of energy types consumed by the spray pump;

[0196] The following formula is used to determine the energy efficiency index q4 of the cutting and advancing process corresponding to the process level:

[0197] Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, nz is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by the transport aircraft.

[0198] Furthermore, in a possible implementation of the embodiment of the present application, the third determining unit is specifically configured to:

[0199] The system-level energy efficiency index x1 corresponding to the system level is determined using the following formula:

[0200] Where P(j) is the estimated amount of coal cut in the jth cut, K is the total number of cuts in the statistical period, e zh is the type of energy consumed in the support process, n zh is the total number of energy types consumed in the support process, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y is the total number of energy types consumed by the transport aircraft, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

[0201] Furthermore, in a possible implementation of the embodiment of the present application, the third determining module 45 is configured to:

[0202] When any evaluation value is lower than a preset threshold, the production time period corresponding to the evaluation value is determined as a low energy efficiency production time period;

[0203] The next round of evaluation process is carried out for the low energy efficiency production period.

[0204] Furthermore, in a possible implementation of the embodiment of the present application, when at least one evaluation level includes equipment level, process level, and system level, the evaluation order of the at least one evaluation level includes: system level, process level, equipment level, or equipment level, process level, system level;

[0205] The monitoring data include one or more of the following: hydraulic support column pressure, coal mining machine drum height, coal mining machine traction speed, coal mining machine power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, transfer machine load, transfer machine power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption, hydraulic support initial support force, hydraulic support cyclic friction resistance, coal mining machine advancement speed, and estimated amount of coal cut by a coal mining machine.

[0206] It should be noted that the above explanation of the embodiment of the energy efficiency evaluation method of the comprehensive mining working face equipment system is also applicable to the energy efficiency evaluation device of the comprehensive mining working face equipment system of this embodiment, and will not be repeated here.

[0207] The energy efficiency evaluation equipment for the comprehensive mining working face equipment system provided in the embodiment of the present application performs at least one round of evaluation process through an evaluation sequence based on at least one evaluation level, wherein each round of evaluation process corresponds to an evaluation level, so as to obtain at least one set of monitoring data of the comprehensive mining working face equipment system corresponding to any round of evaluation process, wherein the time interval between two adjacent sets of monitoring data is determined based on the evaluation level corresponding to the current round of evaluation process, thereby determining at least one energy efficiency index corresponding to the evaluation level according to the evaluation level and at least one set of monitoring data corresponding to the current round of evaluation process, and adopting an energy efficiency evaluation model, determining the evaluation value corresponding to at least one energy efficiency index according to at least one set of monitoring data, wherein the evaluation value is used to evaluate the energy efficiency level of the comprehensive mining working face equipment system within the production time period corresponding to the energy efficiency index, and then determining whether to proceed to the next round of evaluation process according to each evaluation value. Thus, energy efficiency evaluations of different evaluation granularities can be performed for different evaluation levels, so as to realize multi-angle monitoring and analysis of the operating efficiency of the working face equipment and / or system, explore the weak links to be optimized of the working face equipment and / or system and make timely adjustments and optimizations, and promote efficient and intelligent decision-making in mining.

[0208] In order to implement the above embodiments, the present application also proposes an electronic device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can execute the energy efficiency evaluation method of the comprehensive mining working face equipment system proposed in any of the above embodiments of the present application.

[0209] In order to implement the above embodiments, the present application also proposes a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the energy efficiency evaluation method of the comprehensive mining working face equipment system proposed in any of the above embodiments of the present application.

[0210] In order to implement the above embodiments, the present application also proposes a computer program product, including a computer program, which, when executed by a processor, implements the energy efficiency evaluation method of the comprehensive mining working face equipment system proposed in any of the above embodiments of the present application.

[0211] FIG5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.

[0212] It should be noted that the electronic device shown in FIG5 is merely an example and should not impose any limitations on the functions and scope of use of the embodiments of the present application.

[0213] As shown in FIG5 , the electronic device includes:

[0214] A memory 51 , a processor 52 , and a computer program stored in the memory 51 and executable on the processor 52 .

[0215] When the processor 52 executes the program, the energy efficiency evaluation method of the fully mechanized mining working face equipment system provided in any of the above embodiments is implemented.

[0216] Furthermore, the electronic device further includes:

[0217] The communication interface 53 is used for communication between the memory 51 and the processor 52 .

[0218] The memory 51 is used to store computer programs that can be run on the processor 52.

[0219] The memory 51 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0220] The processor 52 is used to implement the energy efficiency evaluation method of the fully mechanized mining working face equipment system described in any of the above embodiments when executing the program.

[0221] In response to the independent implementation of the memory 51, processor 52, and communication interface 53, the communication interface 53, memory 51, and processor 52 can be interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, FIG5 shows only one thick line, but this does not mean that there is only one bus or only one type of bus.

[0222] In some embodiments, in a specific implementation, in response to the memory 51, the processor 52 and the communication interface 53 being integrated on a chip, the memory 51, the processor 52 and the communication interface 53 can communicate with each other through an internal interface.

[0223] The processor 52 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0224] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0225] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of such features. Throughout the description of this application, "plurality" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0226] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0227] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0228] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0229] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0230] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0231] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for evaluating the energy efficiency of a fully mechanized mining face equipment system, wherein: The fully mechanized mining face equipment system is divided into at least one assessment level in advance, including: Based on the evaluation order of the at least one evaluation level, performing at least one round of evaluation process; wherein each round of the evaluation process corresponds to one evaluation level; For any round of the evaluation process, at least one set of monitoring data of the fully mechanized mining face equipment system corresponding to the current round of the evaluation process is obtained; wherein the time interval between two adjacent sets of the monitoring data is determined based on the evaluation level corresponding to the current round of the evaluation process; Determine at least one energy efficiency indicator corresponding to the evaluation level according to the evaluation level corresponding to the evaluation process of this round and the at least one set of monitoring data; An energy efficiency evaluation model is used to determine an evaluation value corresponding to the at least one energy efficiency indicator according to the at least one set of monitoring data; wherein the evaluation value is used to evaluate the energy efficiency level of the fully mechanized mining working face equipment system during the production time period corresponding to the energy efficiency indicator; According to each of the evaluation values, it is determined whether to proceed to the next round of the evaluation process.

2. The method according to claim 1, wherein: The mathematical expression of the energy efficiency evaluation model is as follows: Min[θ zb -ε(e - S - +e + S + )] λ j ≥0,S - ≥0,S + ≥0,j=1,2,…n Among them, θ zb is the evaluation value corresponding to the energy efficiency index; ε is a non-Archimedean infinitesimal variable; e - and e + is a unit vector; S - and S + is the slack variable; i is a dual variable; X1 is an input variable of the first decision unit, and the first decision unit is the first set of monitoring data in the at least one set of monitoring data; Y1 is an output variable of the first decision unit; X j is the input variable of the j-th decision unit, and the j-th decision unit is the j-th group of monitoring data in the at least one group of monitoring data; Y j is the output variable of the j-th decision unit; n is the total number of groups of at least one group of monitoring data.

3. The method according to claim 2, wherein: The at least one evaluation level includes equipment level, process level and system level. The equipment level is composed of at least one equipment in the fully mechanized mining working face equipment system. The process level is composed of at least one equipment or at least one sub-process that completes the same production task. The at least one energy efficiency indicator corresponding to the evaluation level and the at least one set of monitoring data corresponding to the evaluation process in this round is determined, including: In the case where the evaluation level corresponding to the evaluation process in this round is the equipment level, the energy efficiency index of the hydraulic support, the energy efficiency index of the coal mining machine, the energy efficiency index of the scraper conveyor, the energy efficiency index of the crusher, the energy efficiency index of the transfer machine, the energy efficiency index of the transport machine and the energy efficiency index of the equipment level are determined according to the at least one set of monitoring data corresponding to the evaluation process in this round. Pumping station energy efficiency indicators; or, In the case where the evaluation level corresponding to the evaluation process in this round is the process level, the support process energy efficiency index, hydraulic support group support energy efficiency index, hydraulic maintenance sub-process energy efficiency index and cutting and propulsion process energy efficiency index corresponding to the process level are determined according to the at least one set of monitoring data corresponding to the evaluation process in this round; or In the case that the evaluation level corresponding to the evaluation process in this round is the system level, the system-level energy efficiency index corresponding to the system level is determined according to the at least one set of monitoring data corresponding to the evaluation process in this round.

4. The method according to claim 3, wherein: When the evaluation level corresponding to the evaluation process in this round is the equipment level, the energy efficiency index of the hydraulic support, the energy efficiency index of the coal mining machine, the energy efficiency index of the scraper conveyor, the energy efficiency index of the crusher, the energy efficiency index of the transfer machine, the energy efficiency index of the transport machine and the energy efficiency index of the pump station corresponding to the equipment level are determined according to the at least one set of monitoring data, including: The following formula is used to determine the energy efficiency index z1 of the hydraulic support corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e zj is the type of energy consumed by the hydraulic support, n zj The total number of energy types consumed by hydraulic supports; The following formula is used to determine the coal mining machine energy efficiency index z2 corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c The total number of energy types consumed by the coal mining machine; The following formula is used to determine the scraper conveyor energy efficiency index z3 corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e g is the type of energy consumed by the scraper conveyor, n g The total number of energy types consumed by the scraper conveyor; The crusher energy efficiency index z4 corresponding to the equipment level is determined by the following formula: Where P is the estimated amount of coal cut by a shearer, e p is the type of energy consumed by the crusher, n p The total number of energy types consumed by the crusher; The following formula is used to determine the transfer machine energy efficiency index z5 corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e z is the type of energy consumed by the transfer machine, n z The total number of energy types consumed by the transfer machine; The transport aircraft energy efficiency index z6 corresponding to the equipment level is determined using the following formula: Where P is the estimated amount of coal cut by a shearer, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by transport aircraft; The pump station energy efficiency index z7 corresponding to the equipment level is determined by the following formula: Where P is the estimated amount of coal cut by a shearer, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

5. The method according to claim 3, wherein: When the evaluation level corresponding to the evaluation process in this round is the process level, the support process energy efficiency index, the hydraulic support group support energy efficiency index, the hydraulic maintenance sub-process energy efficiency index and the cutting and advancing process energy efficiency index corresponding to the process level are determined according to the at least one set of monitoring data, including: The support process energy efficiency index q1 corresponding to the process level is determined by the following formula: Where P is the estimated amount of coal cut by a shearer, e zh is the type of energy consumed in the support process, n zh The total number of energy types consumed for the support process; The following formula is used to determine the hydraulic support group support energy efficiency index q2 corresponding to the process level: Among them, F(t) is the sum of the working resistance of the hydraulic support in the tth area, S(t) is the sum of the top beam area of ​​the hydraulic support in the tth area, and t is the area number; The following formula is used to determine the hydraulic maintenance sub-process energy efficiency index q3 corresponding to the process level: Where P is the estimated amount of coal cut by a shearer, e rh is the type of energy consumed by the emulsification pump, n rh For emulsification pump Total number of energy types consumed, e zy is the type of energy consumed by the booster pump, n zy is the total number of energy types consumed by the booster pump, e pw is the type of energy consumed by the spray pump, n pw The total number of energy types consumed by the spray pump; The following formula is used to determine the energy efficiency index q4 of the cutting and advancing process corresponding to the process level: Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by the transport aircraft.

6. The method according to claim 3, wherein: When the evaluation level corresponding to the evaluation process in this round is the system level, determining the system level energy efficiency index corresponding to the system level according to the at least one set of monitoring data includes: The system-level energy efficiency index x1 corresponding to the system level is determined by the following formula: Where P(j) is the estimated amount of coal cut in the jth production, K is the total number of cuts during the statistical period, and e zh is the type of energy consumed in the support process, n zh is the total number of energy types consumed in the support process, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y is the total number of energy types consumed by the transport aircraft, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

7. The method according to claim 1, wherein: The step of determining whether to proceed to the next round of the evaluation process according to each of the evaluation values ​​includes: In the case where any of the evaluation values ​​is lower than a preset threshold, determining the production time period corresponding to the evaluation value as a low energy efficiency production time period; For the low energy efficiency production time period, the next round of the evaluation process is performed.

8. The method according to any one of claims 1 to 7, wherein: In the case where the at least one evaluation level includes an equipment level, a process level, and a system level, the evaluation order of the at least one evaluation level includes: the system level, the process level, the equipment level, or the equipment level, the process level, the system level; The monitoring data include hydraulic support column pressure, coal mining machine drum height, coal mining machine traction speed, coal mining machine One or more of power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, transfer machine load, transfer machine power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption, initial support force of hydraulic support, cyclic friction resistance of hydraulic support, coal mining machine advancement speed, and estimated amount of coal cut by one cut of coal mining machine.

9. The method according to any one of claims 1 to 7, wherein: At least one of the evaluation levels includes an equipment level, a process level and a system level. The equipment level is composed of at least one equipment in the fully mechanized mining face equipment system. The process level is composed of at least one equipment or at least one sub-process that completes the same production task. The system level refers to the entire fully mechanized mining face system. The relationship between the equipment level, the process level and the system level is: the process level includes different equipment or sub-processes, and a plurality of the process levels constitute the system level. In the case where at least one of the evaluation levels includes the equipment level, the process level and the system level, the evaluation order of at least one of the evaluation levels includes: the system level, the process level, the equipment level, or the equipment level, the process level, the system level; Among them, according to each of the evaluation values, it is determined whether to carry out the next round of the evaluation process, including: when any of the evaluation values ​​is lower than a preset threshold, determining that the production time period corresponding to the evaluation value is a low-energy-efficiency production time period, and executing the next round of the evaluation process for the low-energy-efficiency production time period.

10. A device for evaluating the energy efficiency of a fully mechanized mining face equipment system, wherein: The fully mechanized mining face equipment system is divided into at least one assessment level in advance, including: A processing module, configured to execute at least one round of evaluation process based on the evaluation order of the at least one evaluation level; wherein each round of the evaluation process corresponds to one evaluation level; An acquisition module, for acquiring, for any round of the evaluation process, at least one set of monitoring data of the fully mechanized mining working face equipment system corresponding to the current round of the evaluation process; wherein the time interval between two adjacent sets of the monitoring data is determined based on the evaluation level corresponding to the current round of the evaluation process; A first determination module, configured to determine at least one energy efficiency indicator corresponding to the evaluation level according to the evaluation level corresponding to the current round of the evaluation process and the at least one set of monitoring data; A second determination module is used to determine an evaluation value corresponding to the at least one energy efficiency indicator according to the at least one set of monitoring data by using an energy efficiency evaluation model; wherein the evaluation value is used to evaluate the energy efficiency level of the fully mechanized mining working face equipment system in the production time period corresponding to the energy efficiency indicator; The third determination module is used to determine whether to perform the next round of the evaluation process according to each of the evaluation values.

11. The device according to claim 10, wherein: The mathematical expression of the energy efficiency evaluation model is as follows: Min[θ zb -ε(e - S - +e + S + )] λ j ≥0,S - ≥0,S + ≥0,j=1,2,…n Among them, θ zb is the evaluation value corresponding to the energy efficiency index; ε is a non-Archimedean infinitesimal variable; e - and e + for Unit vector; S - and S + is the slack variable; i is a dual variable; X1 is an input variable of the first decision unit, and the first decision unit is the first set of monitoring data in the at least one set of monitoring data; Y1 is an output variable of the first decision unit; X j is the input variable of the j-th decision unit, and the j-th decision unit is the j-th group of monitoring data in the at least one group of monitoring data; Y j is the output variable of the j-th decision unit; n is the total number of groups of at least one group of monitoring data.

12. The device according to claim 11, wherein The at least one evaluation level includes an equipment level, a process level and a system level, wherein the equipment level is composed of at least one equipment in the fully mechanized mining working face equipment system, and the process level is composed of at least one equipment or at least one sub-process that completes the same production task; the first determination module includes: A first determination unit is used to determine, when the evaluation level corresponding to the evaluation process in this round is the equipment level, the energy efficiency index of the hydraulic support, the energy efficiency index of the coal mining machine, the energy efficiency index of the scraper conveyor, the energy efficiency index of the crusher, the energy efficiency index of the transfer machine, the energy efficiency index of the transport machine and the energy efficiency index of the pump station corresponding to the equipment level according to the at least one set of monitoring data corresponding to the evaluation process in this round; or The second determination unit is used to determine the support process energy efficiency index, hydraulic support group support energy efficiency index, hydraulic maintenance sub-process energy efficiency index and cutting and propulsion process energy efficiency index corresponding to the process level according to the at least one set of monitoring data corresponding to the evaluation process of this round, when the evaluation level corresponding to the evaluation process of this round is the process level; or The third determination unit is used to determine the system-level energy efficiency index corresponding to the system level according to the at least one set of monitoring data corresponding to the evaluation process in this round, when the evaluation level corresponding to the evaluation process in this round is the system level.

13. The device according to claim 12, wherein: The first determining unit is further configured to: The following formula is used to determine the energy efficiency index z1 of the hydraulic support corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e zj is the type of energy consumed by the hydraulic support, n zj The total number of energy types consumed by hydraulic supports; The following formula is used to determine the coal mining machine energy efficiency index z2 corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c The total number of energy types consumed by the coal mining machine; The following formula is used to determine the scraper conveyor energy efficiency index z3 corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e g is the type of energy consumed by the scraper conveyor, n g The total number of energy types consumed by the scraper conveyor; The crusher energy efficiency index z4 corresponding to the equipment level is determined by the following formula: Where P is the estimated amount of coal cut by a shearer, e p is the type of energy consumed by the crusher, n p The total number of energy types consumed by the crusher; The following formula is used to determine the transfer machine energy efficiency index z5 corresponding to the equipment level: Where P is the estimated amount of coal cut by a shearer, e z is the type of energy consumed by the transfer machine, n z The total number of energy types consumed by the transfer machine; The transport aircraft energy efficiency index z6 corresponding to the equipment level is determined using the following formula: Where P is the estimated amount of coal cut by a shearer, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by transport aircraft; The pump station energy efficiency index z7 corresponding to the equipment level is determined by the following formula: Where P is the estimated amount of coal cut by a shearer, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

14. The device according to claim 12, wherein: The second determining unit is further configured to: The support process energy efficiency index q1 corresponding to the process level is determined by the following formula: Where P is the estimated amount of coal cut by a shearer, e zh is the type of energy consumed in the support process, n zh The total number of energy types consumed for the support process; The following formula is used to determine the hydraulic support group support energy efficiency index q2 corresponding to the process level: Among them, F(t) is the sum of the working resistance of the hydraulic support in the tth area, S(t) is the sum of the top beam area of ​​the hydraulic support in the tth area, and t is the area number; The following formula is used to determine the hydraulic maintenance sub-process energy efficiency index q3 corresponding to the process level: Where P is the estimated amount of coal cut by a shearer, e rh is the type of energy consumed by the emulsification pump, n rh is the total number of energy types consumed by the emulsification pump, e zy is the type of energy consumed by the booster pump, n zy is the total number of energy types consumed by the booster pump, e pw is the type of energy consumed by the spray pump, n pw The total number of energy types consumed by the spray pump; The following formula is used to determine the energy efficiency index q4 of the cutting and advancing process corresponding to the process level: Where P is the estimated amount of coal cut by a shearer, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y The total number of energy types consumed by the transport aircraft.

15. The device according to claim 12, wherein: The third determining unit is further configured to: The system-level energy efficiency index x1 corresponding to the system level is determined by the following formula: Where P(j) is the estimated amount of coal cut in the jth production, K is the total number of cuts during the statistical period, and e zh is the type of energy consumed in the support process, n zh is the total number of energy types consumed in the support process, e c is the type of energy consumed by the coal mining machine, n c is the total number of energy types consumed by the coal mining machine, e g is the type of energy consumed by the scraper conveyor, n g is the total number of energy types consumed by the scraper conveyor, e p is the type of energy consumed by the crusher, n p is the total number of energy types consumed by the crusher, e z is the type of energy consumed by the transfer machine, n z is the total number of energy types consumed by the transfer machine, e y is the type of energy consumed by the transport aircraft, n y is the total number of energy types consumed by the transport aircraft, e b is the type of energy consumed by the pumping station, n b The total number of energy types consumed by the pumping station.

16. The device according to claim 10, wherein: The third determining module is used to: In the case where any of the evaluation values ​​is lower than a preset threshold, determining the production time period corresponding to the evaluation value as a low energy efficiency production time period; For the low energy efficiency production time period, the next round of the evaluation process is performed.

17. The device according to any one of claims 10 to 16, wherein: In the case where the at least one evaluation level includes an equipment level, a process level, and a system level, the evaluation order of the at least one evaluation level includes: the system level, the process level, the equipment level, or the equipment level, the process level, the system level; The monitoring data include one or more of the hydraulic support column pressure, coal mining machine drum height, coal mining machine traction speed, coal mining machine power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, transfer machine load, transfer machine power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption, hydraulic support initial support force, hydraulic support cyclic friction resistance, coal mining machine advancement speed, and estimated amount of coal cut by a coal mining machine.

18. The device according to any one of claims 10 to 16, wherein: At least one of the evaluation levels includes an equipment level, a process level and a system level. The equipment level is composed of at least one equipment in the fully mechanized mining face equipment system. The process level is composed of at least one equipment or at least one sub-process that completes the same production task. The system level refers to the entire fully mechanized mining face system. The relationship between the equipment level, the process level and the system level is: the process level includes different equipment or sub-processes, and a plurality of the process levels constitute the system level. In the case where at least one of the evaluation levels includes the equipment level, the process level and the system level, the evaluation order of at least one of the evaluation levels includes: the system level, the process level, the equipment level, or the equipment level, the process level, the system level; Among them, the third determination module is also used to determine whether to perform the next round of the evaluation process based on each of the evaluation values, including: when any of the evaluation values ​​is lower than a preset threshold, determining that the production time period corresponding to the evaluation value is a low-energy-efficiency production time period, and performing the next round of the evaluation process for the low-energy-efficiency production time period.

19. An electronic device comprising: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 9.

20. A computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 9.

21. A computer program product, comprising a computer program, which, when executed by a processor, implements the method of any one of claims 1 to 9.

Images