CN117035453A

CN117035453A - Energy efficiency evaluation method and device for fully mechanized coal mining face equipment system

Info

Publication number: CN117035453A
Application number: CN202311001284.1A
Authority: CN
Inventors: 巩师鑫; 任怀伟; 薛国华; 张玉良; 宋焘; 魏卫强; 王飞; 李悬
Original assignee: Ccteg Coal Mining Research Institute Co ltd; Tiandi Science and Technology Co Ltd; Huangling Mining Group Co Ltd
Current assignee: Ccteg Coal Mining Research Institute Co ltd; Tiandi Science and Technology Co Ltd; Huangling Mining Group Co Ltd
Priority date: 2023-08-09
Filing date: 2023-08-09
Publication date: 2023-11-10

Abstract

The invention provides a method and a device for evaluating energy efficiency of a fully mechanized coal mining face equipment system, wherein the method comprises the following steps: performing at least one round of an evaluation process based on an evaluation order of at least one evaluation level; aiming at any round of evaluation process, acquiring at least one group of monitoring data of the fully-mechanized coal mining face equipment system corresponding to the round of evaluation process; the time interval between two adjacent groups of monitoring data is determined based on the corresponding evaluation level of the round of evaluation process; 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 group of monitoring data; adopting an energy efficiency evaluation model, and determining an evaluation value corresponding to at least one energy efficiency index according to at least one group of monitoring data; and determining whether to perform the next round of evaluation process according to each evaluation value. Therefore, energy efficiency evaluation with different evaluation granularities can be performed aiming at different evaluation levels, multi-angle monitoring analysis is realized, and weak links to be optimized of working face equipment and/or systems are excavated.

Description

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

Technical Field

The invention relates to the technical field of automatic monitoring and data mining analysis of coal mine working faces, in particular to an energy efficiency evaluation method and device for fully mechanized coal mining working face equipment systems.

Background

The efficient and intelligent exploitation is an important guarantee for establishing the competitive advantage of coal production enterprises, promoting the coal industry to go to a new stage of high-quality development and realizing the 'double carbon' target.

Various large-scale reloading equipment such as a hydraulic support, a coal mining machine, a scraper conveyor and the like are key to the mining of a fully-mechanized coal face, and continuous mining of coal resources is realized by consuming various basic energy sources such as electricity, water and the like. However, the intelligent upgrading construction process of the fully mechanized mining face mainly focuses on the information perception completeness, the data analysis accuracy and the control execution autonomy of the equipment system at present, but the energy efficiency of the operation of the equipment system of the working face is not subjected to systematic evaluation and analysis work, and the operation efficiency and rationality of each equipment and the whole mining process cannot be known, so that weak links of the equipment and the system to be optimized are difficult to mine. Therefore, according to the comprehensive utilization of data developed in a new intelligent mining stage of a coal mine and the requirement of high-energy-efficiency mining, it is necessary to provide an energy efficiency evaluation method for a fully-mechanized mining face equipment system, comprehensively analyze the operation efficiency of the face equipment and/or the system, and timely adjust the low-efficiency operation link, so as to further promote the efficient and intelligent decision of mining.

Disclosure of Invention

The present invention aims to solve at least one of the technical problems in the related art to some extent.

Therefore, a first object of the present invention is to provide an energy efficiency evaluation method for a fully-mechanized coal mining face equipment system, so as to evaluate energy efficiency with different evaluation granularities for different evaluation levels, realize multi-angle monitoring and analysis of operation efficiency of the face equipment and/or system, dig weak links to be optimized of the face equipment and/or system, adjust and optimize in time, and promote efficient and intelligent decision of mining.

A second object of the present invention is to provide an energy efficiency evaluation device for a fully mechanized coal mining face equipment system.

A third object of the present invention is to propose an electronic device.

A fourth object of the present invention is to propose a computer readable storage medium.

A fifth object of the invention is to propose a computer programme product.

To achieve the above object, an embodiment of a first aspect of the present invention provides a method for evaluating energy efficiency of a fully-mechanized coal face equipment system, the method dividing the fully-mechanized coal face equipment system into at least one evaluation level in advance, including:

performing at least one round of an evaluation process based on an evaluation order of the at least one evaluation level; wherein each round of the evaluation process corresponds to one of the evaluation levels;

Aiming at any round of the evaluation process, acquiring at least one group of monitoring data of the fully-mechanized coal mining face equipment system corresponding to the round of the evaluation process; the time interval between two adjacent groups of monitoring data is determined based on the corresponding evaluation level of the evaluation process of the round;

determining at least one energy efficiency index corresponding to the evaluation level according to the evaluation level corresponding to the evaluation process of the round and the at least one group of monitoring data;

adopting an energy efficiency evaluation model, and determining an evaluation value corresponding to the at least one energy efficiency index according to the at least one group of monitoring data; the evaluation value is used for evaluating the energy efficiency level of the fully-mechanized coal mining face equipment system in the production time period corresponding to the energy efficiency index;

and determining whether to perform the next round of the evaluation process according to each evaluation value.

To achieve the above object, a second aspect of the present invention provides an energy efficiency evaluation device for a fully mechanized coal face equipment system, the device dividing the fully mechanized coal face equipment system into at least one evaluation level in advance, including:

a processing module for performing at least one round of evaluation process based on an evaluation order of the at least one evaluation level; wherein each round of the evaluation process corresponds to one of the evaluation levels;

The acquisition module is used for acquiring at least one group of monitoring data of the fully-mechanized coal mining face equipment system corresponding to any round of the evaluation process; the time interval between two adjacent groups of monitoring data is determined based on the corresponding evaluation level of the evaluation process of the round;

the first determining module is used for determining at least one energy efficiency index corresponding to the evaluation level according to the evaluation level corresponding to the evaluation process of the round and the at least one group of monitoring data;

the second determining module is used for determining an evaluation value corresponding to the at least one energy efficiency index according to the at least one group of monitoring data by adopting an energy efficiency evaluation model; the evaluation value is used for evaluating the energy efficiency level of the fully-mechanized coal mining face equipment system in the production time period corresponding to the energy efficiency index;

and the third determining module is used for determining whether the next round of the evaluation process is carried out according to each evaluation value.

To achieve the above object, an embodiment of a third aspect of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the fully-mechanized face equipment system energy efficiency assessment method of the first aspect.

To achieve the above object, an embodiment of a fourth aspect of the present invention proposes a computer-readable storage medium storing computer instructions for causing the computer to execute the fully mechanized coal face equipment system energy efficiency evaluation method of the aforementioned first aspect.

To achieve the above object, an embodiment of a fifth aspect of the present invention proposes a computer program product comprising a computer program which, when executed by a processor, implements the fully mechanized face equipment system energy efficiency assessment method of the first aspect.

The technical scheme provided by the embodiment of the invention comprises the following beneficial effects:

at least one round of evaluation process is executed based on the evaluation sequence of at least one evaluation level, wherein each round of evaluation process corresponds to one evaluation level, at least one group of monitoring data of the fully-mechanized coal face equipment system corresponding to the round of evaluation process is obtained for any round of evaluation process, the time interval between two adjacent groups of monitoring data is determined based on the evaluation level corresponding to the round of evaluation process, so that at least one energy efficiency index corresponding to the evaluation level is determined according to the evaluation level corresponding to the round of evaluation process and the at least one group of monitoring data, an energy efficiency evaluation model is adopted, an evaluation value corresponding to the at least one energy efficiency index is determined according to the at least one group of monitoring data, the evaluation value is used for evaluating the energy efficiency level of the fully-mechanized coal face equipment system in a production time period corresponding to the energy efficiency index, and whether the next round of evaluation process is carried out is determined according to each evaluation value. Therefore, energy efficiency evaluation with different evaluation granularities can be performed aiming at different evaluation levels, the operation efficiency of the equipment and/or the system of the working face is monitored and analyzed at multiple angles, weak links to be optimized of the equipment and/or the system of the working face are excavated, the optimization is adjusted in time, and efficient and intelligent decision-making of exploitation is promoted.

Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.

Drawings

The foregoing and/or additional aspects and advantages of the invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:

fig. 1 is a schematic flow chart of a method for evaluating energy efficiency of a fully-mechanized coal mining face equipment system according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of a method for evaluating energy efficiency of a fully mechanized coal mining face equipment system in a scenario provided by an embodiment of the present invention;

FIG. 3 is a schematic flow chart of comprehensive analysis of energy efficiency of a fully mechanized coal mining face equipment system under a scenario provided by an embodiment of the invention;

fig. 4 is a schematic structural diagram of a fully-mechanized coal mining face equipment system energy efficiency evaluation equipment according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.

The following describes an energy efficiency evaluation method and device of a fully mechanized coal mining face equipment system according to an embodiment of the present invention with reference to the accompanying drawings.

Fig. 1 is a schematic flow chart of an energy efficiency evaluation method for a fully-mechanized coal mining face equipment system according to an embodiment of the present invention.

It should be noted that, in the embodiment of the present invention, the fully mechanized face equipment system is divided into at least one evaluation level in advance. Alternatively, the entire fully-mechanized face equipment system may be split according to the production process of the fully-mechanized face to determine at least one evaluation level.

As shown in fig. 1, the energy efficiency evaluation method of the fully mechanized coal mining face equipment system comprises the following steps:

step 101, at least one round of evaluation process is performed based on the evaluation sequence of at least one evaluation level.

Wherein each round of evaluation process corresponds to an evaluation level. The at least one evaluation level may include an equipment level consisting of at least one equipment in the fully mechanized face equipment system, a process level consisting of at least one equipment or at least one sub-process that completes the same production task, and a system level.

Alternatively, the equipment level may refer to the bottom equipment in the fully mechanized face equipment system, including single hydraulic supports, shearer, scraper conveyors, reversed loaders, crushers, conveyors, pump stations, etc.; the process level can be composed of a plurality of equipment or subprocesses for completing the same production link, and the process level comprises a supporting process, a cutting pushing process, a hydraulic support group and a hydraulic maintenance subprocess, wherein the supporting process comprises the hydraulic support group and the hydraulic maintenance subprocess, the cutting pushing process comprises a coal cutter, a scraper conveyor, a reversed loader, a crusher and a conveyor, the hydraulic support group comprises a plurality of hydraulic supports, and the hydraulic maintenance subprocess comprises an emulsion pump, a booster pump and a spray pump; the system level may refer to the entire fully mechanized face system, including the support process and the cutting advancement process. The relation among the equipment level, the process level and the system level is as follows: the process levels include different equipment or sub-processes, and multiple process levels constitute a system level.

Wherein, in case the at least one evaluation level comprises an equipment level, a process level and a system level, an evaluation order of the at least one evaluation level comprises: 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 may be executed first, then a round of evaluation process corresponding to the process level is executed, and finally a round of evaluation process corresponding to the equipment level is executed to realize gradual and fine analysis from macroscopic level to microscopic level, or a round of evaluation process corresponding to the equipment level may be executed first to integrate the evaluation result corresponding to the equipment level into the process level, then a round of evaluation process corresponding to the process level is executed to integrate the evaluation result corresponding to the equipment level and the evaluation result corresponding to the process level into the system level, and finally a round of evaluation process corresponding to the system level is executed to realize analysis from microscopic level to macroscopic level, and the evaluation result corresponding to the equipment level is integrated in the obtained evaluation result corresponding to the process level, and the evaluation result corresponding to the equipment level and the evaluation result corresponding to the process level are integrated in the obtained evaluation result corresponding to the system level.

It should be noted that, in some embodiments, performing at least one round of the evaluation process based on the evaluation order of at least one evaluation level does not mean that one round of the evaluation process has to be performed for each evaluation level. For explanation, please refer to the description of step 105, and the description is omitted here.

Step 102, at least one group of monitoring data of the fully-mechanized coal mining face equipment system corresponding to the round of evaluation process is obtained aiming at any round of evaluation process.

The time interval between two adjacent groups of monitoring data is determined based on the corresponding evaluation level of the evaluation process. That is, in the evaluation process corresponding to different evaluation levels, the time granularity of the acquired monitoring data is not the same. Thus, energy efficiency evaluations with different evaluation granularities can be performed for different evaluation levels.

Alternatively, in the case where at least one evaluation level includes an equipment level, a process level, and a system level, the real-time analysis principle may be adopted for the evaluation process corresponding to the equipment level, and the analysis may be performed in a manner with a longer time granularity for the evaluation process corresponding to the process level and the system level. For example, the time granularity may be set to 5 minutes for the corresponding evaluation process at the equipment level, i.e., a set of monitoring data is acquired every 5 minutes; aiming at the corresponding evaluation process of the process level, setting the time granularity to be 1 hour, namely acquiring a group of monitoring data every 1 hour; for the corresponding evaluation process at the system level, the time granularity is set to 24 hours, i.e. a set of monitoring data is acquired every 24 hours.

The monitoring data may include one or more of hydraulic support column pressure, shearer drum height, shearer traction speed, shearer power consumption, scraper conveyor load, scraper conveyor power consumption, breaker load, breaker power consumption, reversed loader load, reversed loader power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption, hydraulic support primary support force, hydraulic support circulating friction, shearer pushing progress, shearer-knife coal cutting estimation.

The hydraulic support column pressure, the coal mining machine drum height, the coal mining machine traction speed, the coal mining machine power consumption, the scraper conveyor load, the scraper conveyor power consumption, the crusher load, the crusher power consumption, the reversed loader load, the reversed loader power consumption, the conveyor load, the conveyor power consumption, the pump station pressure and the pump station power consumption are directly monitored data, and can be directly monitored; the initial supporting force of the hydraulic support, the circulating friction of the hydraulic support, the pushing progress of the coal cutter and the cutting estimated quantity of the coal cutter are indirect monitoring data, cannot be obtained through direct monitoring, and need to be calculated indirectly.

Step 103, determining at least one energy efficiency index corresponding to the evaluation level according to the evaluation level corresponding to the current evaluation process and at least one group of monitoring data.

The energy efficiency index can be understood as an index applicable to energy efficiency evaluation analysis corresponding to the evaluation level.

In some embodiments, the hydraulic support energy efficiency index, the coal mining energy efficiency index, the scraper conveyor energy efficiency index, the crusher energy efficiency index, the transfer energy efficiency index, the conveyor energy efficiency index, and the pump station energy efficiency index corresponding to the equipment level may be determined according to at least one set of monitoring data corresponding to the current round of evaluation process when the evaluation level corresponding to the current round of evaluation process is the equipment level, or 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 propulsion process energy efficiency index corresponding to the process level may be determined according to at least one set of monitoring data corresponding to the current round of evaluation process when the evaluation level corresponding to the current round of evaluation process is the process level, or the system level energy efficiency index corresponding to the system level may be determined according to at least one set of monitoring data corresponding to the current round of evaluation process when the evaluation level corresponding to the current round of evaluation process is the system level.

Alternatively, in the case that the evaluation level corresponding to the present round of evaluation process is the equipment level, the following formula may be adopted to determine the hydraulic bracket energy efficiency index z corresponding to the equipment level ₁ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _zj N is the energy source type consumed by the hydraulic support _zj The total number of energy types consumed by the hydraulic support;

determining a coal mining machine energy efficiency index z corresponding to the equipment level by adopting the following formula ₂ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _c N is the energy source type consumed by the coal mining machine _c The total energy types consumed by the coal mining machine;

determining a scraper conveyor energy efficiency index z corresponding to the equipment level by adopting the following formula ₃ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _g N is the energy source type consumed by the scraper conveyor _g The total number of energy types consumed by the scraper conveyor;

determining a crusher energy efficiency index z corresponding to the equipment level by adopting the following formula ₄ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _p N is the energy source type consumed by the crusher _p The total number of energy types consumed by the crusher;

determining a reversed loader energy index z corresponding to the equipment level by adopting the following formula ₅ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _z N is the energy source type consumed by the reversed loader _z The total number of energy types consumed by the reversed loader;

determining a conveyor energy efficiency index z corresponding to the equipment level by adopting the following formula ₆ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _y N is the energy source type consumed by the conveyor _y The total number of energy types consumed by the conveyor;

determining pump station energy efficiency index z corresponding to equipment level by adopting the following formula ₇ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _b N is the energy source type consumed by a pump station _b The total energy source type consumed by the pump station.

Alternatively, in the case that the evaluation level corresponding to the current round of evaluation process is a process level, the following formula may be adopted to determine the support process energy efficiency index q corresponding to the process level ₁ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _zh For the energy source type consumed in the supporting process, n _zh The total number of energy types consumed for the supporting process;

the hydraulic support group support energy efficiency index q corresponding to the process level is determined by adopting the following formula ₂ ：

Wherein F (t) is the sum of the working resistances of the hydraulic support in the t region, S (t) is the sum of the areas of the top beams of the hydraulic support in the t region, and t is the region number;

the energy efficiency index q of the hydraulic maintenance subprocess corresponding to the process level is determined by adopting the following formula ₃ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _rh N is the energy source type consumed by the emulsification pump _rh E is the total number of energy source types consumed by the emulsification pump _zy N is the energy source type consumed by the booster pump _zy E is the total energy source type consumed by the booster pump _pw N is the energy source consumed by the spray pump _pw The total number of energy source types consumed by the spray pump;

determining a cutting propulsion process energy efficiency index q corresponding to a process level by adopting the following formula ₄ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _c For the energy source consumed by the coal mining machineClass, n _c E is the total number of energy types consumed by the coal mining machine _g N is the energy source type consumed by the scraper conveyor _g E is the total number of energy source types consumed by the scraper conveyor _p N is the energy source type consumed by the crusher _p E is the total number of energy source types consumed by the crusher _z N is the energy source type consumed by the reversed loader _z E, the total energy source type number consumed by the reversed loader _y N is the energy source type consumed by the conveyor _y The total number of energy types consumed by the conveyor.

Alternatively, in the case that the evaluation level corresponding to the current round of evaluation process is a system level, the following formula may be adopted to determine the system level energy efficiency index x corresponding to the system level ₁ ：

Wherein P (j) is the estimated quantity of coal cutting for producing the jth knife, K is the total number of cutting knives in the statistical period, e _zh For the energy source type consumed in the supporting process, n _zh The total number of energy source types consumed in the supporting process, e _c N is the energy source type consumed by the coal mining machine _c E is the total number of energy types consumed by the coal mining machine _g N is the energy source type consumed by the scraper conveyor _g E is the total number of energy source types consumed by the scraper conveyor _p N is the energy source type consumed by the crusher _p E is the total number of energy source types consumed by the crusher _z N is the energy source type consumed by the reversed loader _z E, the total energy source type number consumed by the reversed loader _y N is the energy source type consumed by the conveyor _y E, the total number of energy source types consumed by the conveyor _b N is the energy source type consumed by a pump station _b The total energy source type consumed by the pump station.

And 104, determining an evaluation value corresponding to at least one energy efficiency index according to at least one group of monitoring data by adopting an energy efficiency evaluation model.

The evaluation value is used for evaluating the energy efficiency level of the fully mechanized coal mining face equipment system in the production time period corresponding to the energy efficiency index. The evaluation value ranges from 0 to 1, and the closer the evaluation value is to 1, the higher the energy efficiency level is, and the closer the evaluation value is to 0, the lower the energy efficiency level is.

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

wherein θ ^zb The evaluation value is corresponding to the energy efficiency index; epsilon is a non-archimedes infinitesimal variable; e, e ^- And e ⁺ Is a unit vector; s is S ^- And S is ⁺ Is a relaxation variable; lambda (lambda) _i As dual variables; x is X ₁ The 1 st decision unit is a first set of monitoring data in the at least one set of monitoring data; y is Y ₁ Is the output variable of decision unit 1; x is X _j The j decision unit is the j-th group of monitoring data in at least one group of monitoring data; y is Y _j An output variable of the j-th decision unit; n is the total number of sets of at least one set of monitoring data.

When the evaluation value corresponding to the energy efficiency index is solved by using the mathematical expression of the energy efficiency evaluation model, the input variable of each decision unit is a numerator in the calculation formula used for solving the energy efficiency index, and the output variable is a denominator in the calculation formula used for solving the energy efficiency index. For example, when solving for z ₁ (Hydraulic support energy efficiency index corresponding to equipment level) when corresponding evaluation value is obtained, X ₁ Calculated based on group 1 monitoring dataY ₁ The estimated cutting amount of the coal cutter in the 1 st group of monitoring data is P.

Therefore, corresponding monitoring data can be obtained aiming at different evaluation levels, and the energy efficiency evaluation model is adopted to evaluate the energy efficiency of the different evaluation levels.

Step 105, determining whether to perform the next round of evaluation process according to each evaluation value.

It should be noted that, in some embodiments, after the present round of evaluation process is performed to determine each evaluation value, whether the next round of evaluation process is required may be determined based on the size of each evaluation value. That is, it does not mean that a round of evaluation process must be performed for each evaluation level.

Alternatively, in the case where any one of the evaluation values is lower than the preset threshold value, it may be determined that the production period corresponding to the evaluation value is an energy-efficient production period, so that the next round of evaluation process is performed for the energy-efficient production period. The setting of the preset threshold is not limited in the embodiment of the present invention. Alternatively, the preset threshold may be set according to manual experience, for example, the preset threshold may be set to 0.9, or may be dynamically adjusted according to actual application requirements, which is not limited in this embodiment. Correspondingly, if all the evaluation values are not lower than the preset threshold value, the fact that no low-energy-efficiency production time period exists is indicated, and the next round of evaluation process can be stopped.

As an example, assume that the evaluation order of at least one evaluation level comprises: the method comprises the steps of a system level, a process level and an equipment level, wherein when a first-round evaluation process is carried out, monitoring data of at least one group of fully mechanized mining face equipment systems with the time granularity of 24 hours are obtained, so that system level energy efficiency indexes corresponding to each group of monitoring data can be determined according to the obtained monitoring data, an energy efficiency evaluation model is adopted, evaluation values corresponding to each system level energy efficiency index are determined according to at least one group of monitoring data, further, when any evaluation value is lower than a preset threshold value, a production time period corresponding to the evaluation value is determined to be a low energy efficiency production time period, and a second-round evaluation process is carried out for the low energy efficiency production time period, wherein an evaluation level corresponding to the second-round evaluation process is a process level, or the second-round evaluation process is not carried out under the condition that all evaluation values are not lower than the preset threshold value.

According to the energy efficiency evaluation method for the fully-mechanized coal face equipment system, at least one round of evaluation process is executed based on the evaluation sequence of at least one evaluation level, each round of evaluation process corresponds to one evaluation level, at least one set of monitoring data of the fully-mechanized coal face equipment system corresponding to the round of evaluation process is obtained for any round of evaluation process, the time interval between two adjacent sets of monitoring data is determined based on the evaluation level corresponding to the round of evaluation process, so that at least one energy efficiency index corresponding to the evaluation level is determined according to the evaluation level corresponding to the round of evaluation process and the at least one set of monitoring data, an energy efficiency evaluation model is adopted, an evaluation value corresponding to the at least one energy efficiency index is determined according to the at least one set of monitoring data, wherein the evaluation value is used for evaluating the energy efficiency level of the fully-mechanized coal face equipment system in a production time period corresponding to the energy efficiency index, and whether the next round of evaluation process is carried out is determined according to the evaluation values. Therefore, energy efficiency evaluation with different evaluation granularities can be performed aiming at different evaluation levels, the operation efficiency of the equipment and/or the system of the working face is monitored and analyzed at multiple angles, weak links to be optimized of the equipment and/or the system of the working face are excavated, the optimization is adjusted in time, and efficient and intelligent decision-making of exploitation is promoted.

For clarity of illustration of the above embodiment, an example will now be described.

Fig. 2 is a schematic flow chart of a method for evaluating energy efficiency of a fully mechanized coal mining face equipment system under a scenario provided by an embodiment of the present invention.

As shown in fig. 2, the energy efficiency evaluation method of the fully mechanized coal mining face equipment system may include the following steps:

step 201, fully mechanized face equipment system data monitoring.

Determining direct monitoring indexes of main equipment and systems such as a hydraulic support, a coal mining machine, a scraper conveyor, a crusher, a reversed loader, a conveyor, a pump station and the like, performing real-time monitoring, and realizing monitoring in a mode of selecting indirect calculation for indexes which cannot be directly monitored.

The direct monitoring indexes comprise hydraulic support column pressure, coal cutter drum height, coal cutter traction speed, coal cutter power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, transfer conveyor load, transfer conveyor power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption and the like, and the indirect calculation indexes comprise hydraulic support primary supporting force, hydraulic support circulating friction resistance, coal cutter pushing progress, cutting estimation of coal cutter coal and the like.

Step 202, dividing the fully mechanized mining process.

Alternatively, the whole fully-mechanized coal face equipment system can be split according to the production process of the fully-mechanized coal face, and equipment levels based on single equipment, process levels based on coal mining processes and supporting processes and system levels referring to the whole fully-mechanized coal face equipment system are determined. The relation among the equipment level, the process level and the system level is as follows: the process levels include different equipment or sub-processes, and multiple process levels constitute a system level.

The equipment level refers to bottom equipment of a fully mechanized coal face equipment system and comprises a single hydraulic support, a coal mining machine, a scraper conveyor, a reversed loader, a crusher, a conveyor, a pump station and the like; the process level consists of a plurality of equipment or subprocesses for completing the same production link, and comprises a supporting process, a cutting and propelling process, a hydraulic support group and a hydraulic maintenance subprocess, wherein the supporting process comprises the hydraulic support group and the hydraulic maintenance subprocess, the cutting and propelling process comprises a coal cutter, a scraper conveyor, a reversed loader, a crusher and a conveyor, the hydraulic support group comprises a plurality of hydraulic supports, and the hydraulic maintenance subprocess comprises an emulsion pump, a booster pump and a spray pump; the system level refers to the whole fully mechanized coal mining face system, and comprises a supporting process and a cutting propelling process.

In step 203, a multi-level energy efficiency index system is established.

Alternatively, according to the hierarchical relationships of the equipment level, the process level and the system level of the fully-mechanized coal face equipment system divided in step 202, indexes suitable for energy efficiency evaluation analysis can be determined for different levels, and meanwhile, the indexes of the levels have different finesses, so that the energy efficiency problems of all equipment and systems of the fully-mechanized coal face equipment system can be reflected from multiple angles, and the evaluation reference of all indexes can be determined.

Wherein the multi-level energy efficiency index system refers to the indexes for energy efficiency analysis at the equipment level, the process level and the system level respectively. The multi-level energy efficiency index system is built immediately by building the following energy efficiency evaluation analysis models of different levels:

1. the equipment-level energy efficiency index includes:

1) Hydraulic support energy efficiency index z ₁ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _zj N is the energy source type consumed by the hydraulic support _zj The total energy source type consumed by the hydraulic support.

2) Energy efficiency index z of coal mining machine ₂ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _c N is the energy source type consumed by the coal mining machine _c The total energy type consumed by the coal mining machine.

3) Energy efficiency index z of scraper conveyor ₃ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _g Energy source type consumed for scraper conveyor，n _g The total number of energy types consumed by the scraper conveyor.

4) Crusher energy efficiency index z ₄ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _p N is the energy source type consumed by the crusher _p The total number of energy types consumed by the crusher.

5) Energy efficiency index z of reversed loader ₅ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _z N is the energy source type consumed by the reversed loader _z The total energy source type consumed by the transfer conveyor.

6) Energy efficiency index z of conveyor ₆ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _y N is the energy source type consumed by the conveyor _y The total number of energy types consumed by the conveyor.

7) Pump station energy efficiency index z ₇ The calculation formula is as follows:

2. The process level energy efficiency index includes:

1) Energy efficiency index q of supporting process ₁ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _zh For the energy source type consumed in the supporting process, n _zh The total number of energy types consumed for the supporting process.

2) Hydraulic support group support energy efficiency index q ₂ (t)。

In order to further analyze the support quality in a refined manner, the support quality can be divided into a plurality of areas according to the number of the supports on the working face, wherein the support energy efficiency indexes are respectively a first area hydraulic support group support energy efficiency index, a second area hydraulic support group support energy efficiency index and a third area hydraulic support group support energy efficiency index, … …, and the calculation formula of each area hydraulic support group support energy efficiency index is as follows:

wherein F (t) is the sum of the working resistances of the hydraulic support in the t region, S (t) is the sum of the top beam areas of the hydraulic support in the t region, and t is the region number.

3) Energy efficiency index q of hydraulic maintenance sub-process ₃ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _rh N is the energy source type consumed by the emulsification pump _rh E is the total number of energy source types consumed by the emulsification pump _zy N is the energy source type consumed by the booster pump _zy E is the total energy source type consumed by the booster pump _pw N is the energy source consumed by the spray pump _pw The total number of energy source types consumed by the spray pump.

4) Cutting propulsionProcess energy efficiency index q ₄ The calculation formula is as follows:

wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _c N is the energy source type consumed by the coal mining machine _c E is the total number of energy types consumed by the coal mining machine _g N is the energy source type consumed by the scraper conveyor _g E is the total number of energy source types consumed by the scraper conveyor _p N is the energy source type consumed by the crusher _p E is the total number of energy source types consumed by the crusher _z N is the energy source type consumed by the reversed loader _z E, the total energy source type number consumed by the reversed loader _y N is the energy source type consumed by the conveyor _y The total number of energy types consumed by the conveyor.

3. System level energy efficiency index x ₁ The calculation formula is as follows:

Step 204, energy efficiency evaluation granularity determination.

Alternatively, according to the hierarchical relationships among the equipment level, the process level and the system level of the fully-mechanized coal mining face equipment system divided in step 202 and the energy efficiency evaluation analysis models of different levels established in step 303, a real-time analysis principle is adopted for the equipment level energy efficiency evaluation analysis, and a mode with longer time granularity is adopted for the process level energy efficiency evaluation analysis and the system level energy efficiency evaluation analysis.

It should be noted that, in this embodiment, the determination of the energy efficiency evaluation granularity includes two aspects, namely, the real-time performance of the analysis of the energy efficiency evaluation analysis models of different levels, and the evaluation sequence of the energy efficiency evaluation analysis models of different levels.

The real-time performance of the energy efficiency evaluation analysis model analysis of different levels means that the energy efficiency level directly determines the performance of equipment as the equipment level is positioned at the bottom layer of the whole fully-mechanized mining system, and the energy efficiency abnormal link can be timely found by monitoring the equipment energy efficiency level in real time, so that the equipment is adjusted as early as possible, and therefore, the time granularity of the energy efficiency evaluation analysis of the equipment level is 5min; for the process level, a certain time is required for completing the corresponding link, so that the time granularity of the energy efficiency evaluation analysis of the process level is 1 hour; for a more comprehensive statistical analysis, the time granularity of the energy efficiency assessment analysis at the system level should be 24 hours.

The evaluation sequence of the energy efficiency evaluation analysis models of different levels means that system-level energy efficiency evaluation analysis can be performed firstly, an evaluation result is decomposed into process-level energy efficiency, then the process-level energy efficiency evaluation analysis is performed, and finally equipment-level energy efficiency evaluation analysis, namely, the analysis from macroscopic level to microscopic level is performed gradually and finely; the equipment level energy efficiency evaluation analysis can be performed first, the equipment level analysis results are integrated to the process level, and finally the energy efficiency of the system level is integrated, and the order from micro to macro is changed.

And 205, building an energy efficiency evaluation model.

Alternatively, an energy efficiency assessment model of the fully-mechanized face equipment system may be built based on the hierarchical relationships of the fully-mechanized face equipment system equipment level, the process level, and the system level divided according to step 202. The energy efficiency evaluation model can comprise a fully-mechanized mining system level energy efficiency evaluation analysis model, a fully-mechanized mining process level energy efficiency evaluation analysis model and a fully-mechanized mining equipment level energy efficiency evaluation analysis model.

The energy efficiency evaluation model is established as follows:

wherein θ ^zb The evaluation value is corresponding to the energy efficiency index; epsilon is a non-archimedes infinitesimal variable; e, e ^- And e ⁺ Is a unit vector; s is S ^- And S is ⁺ Is a relaxation variable; lambda (lambda) _i As dual variables; x is X ₁ Is the input variable of decision unit 1; y is Y ₁ Is the output variable of decision unit 1; x is X _j An input variable for the j-th decision unit; y is Y _j An output variable of the j-th decision unit; n is the total number of decision units. The decision unit refers to any set of monitoring data that a piece of equipment (process or system) needs to evaluate energy efficiency.

When the evaluation value corresponding to the energy efficiency index is solved by the above formula (1), the input variable of each decision unit is a numerator in the calculation formula used for solving the energy efficiency index, and the output variable is a denominator in the calculation formula used for solving the energy efficiency index. For example, when solving for z ₁ (Hydraulic support energy efficiency index corresponding to equipment level) when corresponding evaluation value is obtained, X ₁ Calculated based on group 1 monitoring dataY ₁ The estimated cutting amount of the coal cutter in the 1 st group of monitoring data is P.

Therefore, for comprehensive mining equipment level, process level and system level energy efficiency evaluation analysis, energy efficiency evaluation can be respectively carried out on different equipment, processes and the whole system by utilizing the formula (1) only by collecting corresponding data according to equipment level, process level and system level energy efficiency analysis indexes.

And 206, comprehensively analyzing the energy efficiency of the fully mechanized coal mining face equipment system.

Therefore, the method can realize the level and granularity division of evaluation analysis on the whole fully-mechanized mining face equipment system according to the fully-mechanized mining face mining process and fully-mechanized mining system architecture, determine the equipment level, process level and system level energy efficiency evaluation analysis level, establish a multi-level energy efficiency analysis index system, and realize the detailed and level energy efficiency information analysis of the fully-mechanized mining face equipment system aiming at the real-time, intermittent and statistical evaluation analysis granularity developed by different levels, thereby judging the energy efficiency abnormal links of the whole intelligent mining process and providing decision basis for intelligent mining flexible production.

Optionally, a specific flow of comprehensive analysis of energy efficiency of the fully mechanized face equipment system is shown in fig. 3:

step 301, obtaining at least one set of monitoring data of a fully mechanized face equipment system level.

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

Alternatively, the number of sets of the acquired monitoring data may be determined according to the evaluation period. For example, assuming that the evaluation period is 30 days, the number of sets of the acquired monitoring data is 30 sets.

Step 302, determining a system level energy efficiency index corresponding to each set of monitoring data according to at least one set of monitoring data of the system level by adopting the calculation formula for calculating the system level energy efficiency index.

Step 303, determining an evaluation value corresponding to each system level energy efficiency index according to at least one group of monitoring data of the system level by adopting an energy efficiency evaluation model.

The evaluation value is used for evaluating the energy efficiency level of the fully mechanized coal mining face equipment system in the production time period corresponding to the energy efficiency index. And the overall energy efficiency level of the whole fully mechanized coal mining face equipment system in each 24 hours in the evaluation time period can be evaluated through an energy efficiency evaluation model.

It should be noted that, when the evaluation value corresponding to any system level energy efficiency index is lower than the preset threshold, it is indicated that the low energy efficiency production link exists in the 24 hours corresponding to the evaluation value, so the 24 hours corresponding to the evaluation value can be determined as the low energy efficiency production time period. Therefore, weak links to be optimized of the mining system can be realized, and adjustment can be performed in time, so that efficient and intelligent decision-making of mining is further promoted.

Step 304, for the low energy efficiency production time period diagnosed in step 303, obtaining at least one set of monitoring data of the process level in the time period, determining a process level energy efficiency index corresponding to each set of monitoring data according to at least one set of monitoring data of the process level by using the calculation formula for calculating the process level energy efficiency index, and determining an evaluation value corresponding to each process level energy efficiency index according to at least one set of monitoring data of the process level by using an energy efficiency evaluation model.

Wherein the time interval between two adjacent sets of monitoring data at the process level is 1 hour.

It should be noted that, since the determined period of low energy efficiency production is at least one 24 hours, it is possible to obtain monitoring data every 1 hour for each 24 hours, where each set of monitoring data at the process level is monitoring data every 1 hour, and each set of monitoring data at the system level is monitoring data every 24 hours, which are not the same.

Similarly, when the evaluation value corresponding to any one of the process level energy efficiency indicators is lower than the preset threshold, it is indicated that there is a low energy efficiency production link within the 1 hour corresponding to the evaluation value, and therefore, the 1 hour corresponding to the evaluation value can be determined as the low energy efficiency production period. Therefore, weak links to be optimized in the excavating process can be realized, and timely adjustment can be performed, so that efficient and intelligent decision-making of exploitation is further promoted.

Step 305, for the low energy efficiency production time period diagnosed in step 304, obtaining at least one set of monitoring data of the equipment level in the time period, determining an equipment level energy efficiency index corresponding to each set of monitoring data according to the at least one set of monitoring data of the equipment level by using the calculation formula for calculating the equipment level energy efficiency index, and determining an evaluation value corresponding to each equipment level energy efficiency index according to the at least one set of monitoring data of the equipment level by using an energy efficiency evaluation model.

Wherein the time interval between two adjacent sets of monitoring data at the equipment level is 5 minutes.

It should be noted that, since the determined low energy efficiency production period is at least 1 hour, monitoring data of every 5 minutes in the 1 hour can be obtained for every 1 hour, at this time, each set of monitoring data of the equipment level is monitoring data of every 5 minutes, each set of monitoring data of the process level is monitoring data of every 1 hour, each set of monitoring data of the system level is monitoring data of every 24 hours, and the three are not the same.

Similarly, when the evaluation value corresponding to any equipment-level energy efficiency index is lower than the preset threshold, it is explained that there is a low energy efficiency production link within the 1 hour corresponding to the evaluation value, and therefore, the 1 hour corresponding to the evaluation value can be determined as the low energy efficiency production period. Therefore, weak links to be optimized of the mining equipment can be realized, and adjustment can be performed in time, so that efficient and intelligent decision-making of mining is further promoted.

Optionally, at least one group of monitoring data of equipment level in the low energy efficiency production time periods can be acquired for the low energy efficiency production time periods of different processes respectively, so as to perform equipment level energy efficiency evaluation analysis. For example, for a low energy efficiency production time period of a support process, at least one set of monitoring data of an equipment level in the time period may be collected, a calculation formula for calculating an equipment level energy efficiency index is adopted, an equipment level energy efficiency index corresponding to each set of monitoring data is determined according to the at least one set of monitoring data of the equipment level, an energy efficiency evaluation model is adopted, an evaluation value corresponding to each equipment level energy efficiency index is determined according to the at least one set of monitoring data of the equipment level, so as to further evaluate energy efficiency levels of different supports on a fully mechanized coal face, the energy efficiency effect of different supports on the whole support process is analyzed, or for a low energy efficiency production time period of a cutting propulsion process, at least one set of monitoring data of the equipment level in the time period may be collected, a calculation formula for calculating an equipment level energy efficiency index is adopted, an equipment level energy efficiency index corresponding to each set of monitoring data is determined according to the at least one set of monitoring data of the equipment level, an energy efficiency evaluation model is adopted, and an energy efficiency evaluation value corresponding to each equipment level energy efficiency evaluation index is determined according to the at least one set of monitoring data of the equipment level, so as to further evaluate the energy efficiency of different supports on the fully mechanized coal face, the energy efficiency of the whole coal face is analyzed, and the energy efficiency of the energy efficiency of the whole support face is evaluated.

Therefore, the energy efficiency of the fully mechanized coal face equipment system can be diagnosed in different layers and different granularities, and more scientific and detailed results are obtained.

In summary, the energy efficiency evaluation method of the fully mechanized coal mining face equipment system provided by the invention realizes a comprehensive fully mechanized coal mining data sensing basis by constructing a multi-system data monitoring system of the fully mechanized coal mining face; according to the fully-mechanized mining face mining process and the fully-mechanized mining system architecture, the energy efficiency evaluation analysis levels of the fully-mechanized mining face equipment system are divided, the distributed evaluation modes of the equipment level, the process level and the system level are determined, and the energy efficiency evaluation analysis methods of different evaluation analysis granularities of real-time performance, intermittence performance and statistics performance are determined according to different levels, so that more refined and hierarchical energy efficiency information analysis of the fully-mechanized mining face equipment system is realized. The invention can realize multi-angle monitoring and analysis of the energy efficiency information of the fully mechanized mining face equipment system, thereby judging the abnormal energy efficiency link of the whole intelligent mining process and providing basis for intelligent mining flexible production decision.

In order to achieve the above embodiment, the invention further provides an energy efficiency evaluation device of the fully mechanized coal mining face equipment system.

Fig. 4 is a schematic structural diagram of a fully-mechanized coal mining face equipment system energy efficiency evaluation equipment according to an embodiment of the present invention.

As shown in fig. 4, the fully mechanized coal face equipment system energy efficiency evaluation device 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.

A processing module 41 for performing at least one round of evaluation process based on an evaluation order of at least one evaluation level; wherein each round of evaluation process corresponds to one evaluation level;

an obtaining module 42, configured to obtain, for any round of the evaluation process, at least one set of monitoring data of the fully-mechanized coal mining face equipment system corresponding to the round of the evaluation process; the time interval between two adjacent groups of monitoring data is determined based on the corresponding evaluation level of the round of evaluation process;

a first determining module 43, configured to determine at least one energy efficiency indicator corresponding to an evaluation level according to the evaluation level corresponding to the current round of evaluation process and at least one set of monitoring data;

A second determining module 44, configured to determine, using an energy efficiency evaluation model, an evaluation value corresponding to at least one energy efficiency indicator according to at least one set of monitoring data; the evaluation value is used for evaluating the energy efficiency level of the fully mechanized coal mining face equipment system in the production time period corresponding to the energy efficiency index;

a third determining module 45, configured to determine whether to perform the next round of evaluation process according to each evaluation value.

Further, in one possible implementation of the embodiment of the present invention, 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

Further, in one possible implementation of an embodiment of the invention, at least one evaluation level comprises an equipment level, a process level and a system level, the equipment level being composed of at least one equipment in the fully-mechanized face equipment system, the process level being composed of at least one equipment or at least one sub-process that completes the same production task; the first determining module 43 includes:

The first determining unit is used for determining a hydraulic support energy efficiency index, a coal mining energy efficiency index, a scraper conveyor energy efficiency index, a crusher energy efficiency index, a transfer energy efficiency index, a conveyor energy efficiency index and a pump station energy efficiency index corresponding to the equipment level according to at least one group of monitoring data corresponding to the current round of evaluation process under the condition that an evaluation level corresponding to the current round of evaluation process is the equipment level; or,

the second determining unit is used for determining a supporting process energy efficiency index, a hydraulic support group supporting energy efficiency index, a hydraulic maintenance sub-process energy efficiency index and a cutting propulsion process energy efficiency index corresponding to the process level according to at least one group of monitoring data corresponding to the current round of evaluation process under the condition that an evaluation level corresponding to the current round of evaluation process is a process level; or,

and the third determining unit is used for determining a system level energy efficiency index corresponding to the system level according to at least one group of monitoring data corresponding to the current round of evaluation process under the condition that the evaluation level corresponding to the current round of evaluation process is the system level.

Further, in one possible implementation manner of the embodiment of the present invention, the first determining unit is specifically configured to:

is determined by the following formula Hydraulic support energy efficiency index z corresponding to equipment level ₁ ：

the energy efficiency of the reversed loader corresponding to the equipment level is determined by adopting the following formulaIndex z ₅ ：

Further, in one possible implementation manner of the embodiment of the present invention, the second determining unit is specifically configured to:

the energy efficiency index q of the supporting process corresponding to the process level is determined by adopting the following formula ₁ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _c N is the energy source type consumed by the coal mining machine _c E is the total number of energy types consumed by the coal mining machine _g N is the energy source type consumed by the scraper conveyor _g E is the total number of energy source types consumed by the scraper conveyor _p N is the energy source type consumed by the crusher _p E is the total number of energy source types consumed by the crusher _z N is the energy source type consumed by the reversed loader _z E, the total energy source type number consumed by the reversed loader _y For transportingType of energy consumed by conveyor, n _y The total number of energy types consumed by the conveyor.

Further, in one possible implementation manner of the embodiment of the present invention, the third determining unit is specifically configured to:

the energy efficiency index x of the system level corresponding to the system level is determined by adopting the following formula ₁ ：

Further, in a possible implementation manner of the embodiment of the present invention, the third determining module 45 is configured to:

under the condition that any evaluation value is lower than a preset threshold value, determining a production time period corresponding to the evaluation value as a low-energy-efficiency production time period;

the next round of evaluation process is performed for the energy-inefficient production time period.

Further, in one possible implementation of the embodiment of the present invention, in the case that the at least one evaluation level includes an equipment level, a process level, and a system level, an evaluation order of the at least one evaluation level includes: system level, process level, equipment level, or equipment level, process level, system level;

The monitoring data includes one or more of hydraulic support column pressure, shearer drum height, shearer traction speed, shearer power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, reversed loader load, reversed loader power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption, hydraulic support primary support force, hydraulic support circulating friction, shearer pushing progress, shearer-knife coal cutting estimation.

It should be noted that the foregoing explanation of the embodiment of the energy efficiency evaluation method of the fully-mechanized coal mining face equipment system is also applicable to the energy efficiency evaluation device of the fully-mechanized coal mining face equipment system of the embodiment, and is not repeated herein.

According to the fully-mechanized coal face equipment system energy efficiency assessment equipment provided by the embodiment of the invention, at least one round of assessment process is executed based on the assessment sequence of at least one assessment level, wherein each round of assessment process corresponds to one assessment level, at least one group of monitoring data of the fully-mechanized coal face equipment system corresponding to the same round of assessment process is obtained for any round of assessment process, the time interval between two adjacent groups of monitoring data is determined based on the assessment level corresponding to the same round of assessment process, so that at least one energy efficiency index corresponding to the assessment level is determined according to the assessment level corresponding to the same round of assessment process and the at least one group of monitoring data, an energy efficiency assessment model is adopted, an assessment value corresponding to the at least one energy efficiency index is determined according to the at least one group of monitoring data, wherein the assessment value is used for assessing the energy efficiency level of the fully-mechanized coal face equipment system in a production time period corresponding to the energy efficiency index, and whether the next round of assessment process is carried out is determined according to the assessment values. Therefore, energy efficiency evaluation with different evaluation granularities can be performed aiming at different evaluation levels, the operation efficiency of the equipment and/or the system of the working face is monitored and analyzed at multiple angles, weak links to be optimized of the equipment and/or the system of the working face are excavated, the optimization is adjusted in time, and efficient and intelligent decision-making of exploitation is promoted.

In order to achieve the above embodiment, the present invention further proposes an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable 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 fully-mechanized coal face equipment system according to any one of the embodiments of the present invention.

In order to implement the above embodiments, the present invention further proposes a computer-readable storage medium storing computer instructions for causing a computer to execute the energy efficiency evaluation method of the fully mechanized coal face equipment system according to any one of the above embodiments.

In order to implement the above embodiments, the present invention further proposes a computer program product comprising a computer program which, when executed by a processor, implements the energy efficiency evaluation method of the fully mechanized coal face equipment system according to any of the above embodiments of the present invention.

It should be noted that the electronic device shown in fig. 5 is only an example, and should not impose any limitation on the functions and application scope of the embodiments of the present invention.

As shown in fig. 5, the electronic device includes:

memory 51, processor 52, and a computer program stored on memory 51 and executable on processor 52.

The processor 52, when executing the program, implements the fully-mechanized face equipment system energy efficiency assessment method provided in any of the embodiments described above.

Further, the electronic device further includes:

a communication interface 53 for communication between the memory 51 and the processor 52.

A memory 51 for storing a computer program executable on the processor 52.

The memory 51 may comprise a high-speed RAM memory or may further comprise a non-volatile memory (non-volatile memory), such as at least one disk memory.

The processor 52 is configured to implement the energy efficiency evaluation method of the fully mechanized coal mining face equipment system according to any one of the foregoing embodiments when executing the program.

If the memory 51, the processor 52 and the communication interface 53 are implemented independently, the communication interface 53, the memory 51 and the processor 52 may be connected to each other through a bus and perform communication with each other. The bus may be an industry standard architecture (Industry Standard Architecture, abbreviated ISA) bus, an external device interconnect (Peripheral Component, abbreviated PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, abbreviated EISA) bus, among others. The buses may be classified as address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 5, but not only one bus or one type of bus.

Alternatively, in a specific implementation, if the memory 51, the processor 52 and the communication interface 53 are integrated on a chip, the memory 51, the processor 52 and the communication interface 53 may perform communication with each other through internal interfaces.

Processor 52 may be a central processing unit (Central Processing Unit, abbreviated as CPU) or an application specific integrated circuit (Application Specific Integrated Circuit, abbreviated as ASIC) or one or more integrated circuits configured to implement embodiments of the present invention.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims

1. A fully-mechanized face equipment system energy efficiency assessment method, characterized in that the fully-mechanized face equipment system is divided into at least one assessment level in advance, comprising:

2. The method of claim 1, wherein the mathematical expression of the energy efficiency assessment model is as follows:

Min[θ ^zb -ε(e ^- S ^- +e ⁺ S ⁺ )]

λ _j ≥0,S ^- ≥0,S ⁺ ≥0,j＝1,2,…n

wherein θ ^zb The evaluation value corresponding to the energy efficiency index is obtained; epsilon is a non-archimedes infinitesimal variable; e, e ^- And e ⁺ Is a unit vector; s is S ^- And S is ⁺ Is a relaxation variable; lambda (lambda) _i As dual variables; x is X ₁ An input variable of a 1 st decision unit, the 1 st decision unit being a first set of monitoring data of the at least one set of monitoring data; y is Y ₁ An output variable for the 1 st decision unit; x is X _j The j decision unit is an input variable of the j decision unit, and the j decision unit is a j group of monitoring data in the at least one group of monitoring data; y is Y _j An output variable for the j-th decision unit; n is the total group number of the at least one set of monitoring data.

3. The method of claim 2, wherein the at least one evaluation level comprises an equipment level consisting of at least one equipment in the fully-mechanized face equipment system, a process level consisting of at least one equipment or at least one sub-process that completes the same production task, and a system level; the determining at least one energy efficiency index corresponding to the evaluation level according to the evaluation level corresponding to the evaluation process of the present round and the at least one group of monitoring data comprises:

Under the condition that the evaluation level corresponding to the evaluation process of the round is an equipment level, determining a hydraulic support energy efficiency index, a coal mining energy efficiency index, a scraper conveyor energy efficiency index, a crusher energy efficiency index, a transfer energy efficiency index, a conveyor energy efficiency index and a pump station energy efficiency index corresponding to the equipment level according to the at least one group of monitoring data corresponding to the evaluation process of the round; or,

under the condition that the evaluation level corresponding to the evaluation process of the round is a process level, according to the at least one group of monitoring data corresponding to the evaluation process of the round, determining a supporting process energy efficiency index, a hydraulic support group supporting energy efficiency index, a hydraulic maintenance sub-process energy efficiency index and a cutting propulsion process energy efficiency index corresponding to the process level; or,

and under the condition that the evaluation level corresponding to the evaluation process of the round is a system level, determining a system level energy efficiency index corresponding to the system level according to the at least one group of monitoring data corresponding to the evaluation process of the round.

4. A method according to claim 3, wherein, in the case where the evaluation level corresponding to the evaluation process of the present round is an equipment level, determining, according to the at least one set of monitoring data, a hydraulic support energy efficiency index, a coal mining energy efficiency index, a scraper conveyor energy efficiency index, a crusher energy efficiency index, a transfer energy efficiency index, a conveyor energy efficiency index, and a pump station energy efficiency index corresponding to the equipment level includes:

The energy efficiency index z of the hydraulic support corresponding to the equipment level is determined by adopting the following formula ₁ ：

Wherein P is the cutting estimated value of one-cutter coal of the coal mining machine, e _c Energy consumed for coal mining machineSource species, n _c The total energy types consumed by the coal mining machine;

the energy index z of the reversed loader corresponding to the equipment level is determined by adopting the following formula ₅ ：

Determining a transport energy efficiency index z corresponding to the equipment level by adopting the following formula ₆ ：

determining a pump station energy efficiency index z corresponding to the equipment level by adopting the following formula ₇ ：

5. The method according to claim 3, wherein, in the case that the evaluation level corresponding to the evaluation process of the present round is a process level, determining, according to the at least one set of monitoring data, a support process energy efficiency index, a hydraulic support group support energy efficiency index, a hydraulic maintenance sub-process energy efficiency index, and a cutting propulsion process energy efficiency index corresponding to the process level includes:

determining a cutting propulsion process energy efficiency index q corresponding to the process level by adopting the following formula ₄ ：

6. A method according to claim 3, wherein, in the case that the evaluation level corresponding to the evaluation process of the present round is a system level, determining, according to the at least one set of monitoring data, a system level energy efficiency indicator corresponding to the system level includes:

7. The method of claim 1, wherein determining whether to perform a next round of the evaluation process based on each evaluation value comprises:

Under the condition that any estimated value is lower than a preset threshold value, determining the production time period corresponding to the estimated value as an energy-efficiency-low production time period;

and performing the next round of the evaluation process for the low energy efficiency production time period.

8. The method according to any of claims 1-7, wherein, in case the at least one evaluation level comprises an equipment level, a process level and a system level, the evaluation sequence of the at least one evaluation level comprises: the system level, the process level, the equipment level, or the equipment level, the process level, the system level;

the monitoring data comprises one or more of hydraulic support column pressure, coal cutter drum height, coal cutter traction speed, coal cutter power consumption, scraper conveyor load, scraper conveyor power consumption, crusher load, crusher power consumption, reversed loader load, reversed loader power consumption, conveyor load, conveyor power consumption, pump station pressure, pump station power consumption, hydraulic support primary support force, hydraulic support circulating friction, coal cutter pushing progress and coal cutter cutting estimated quantity.

9. An energy efficiency evaluation device for fully mechanized coal face equipment systems, characterized in that the fully mechanized coal face equipment systems are divided into at least one evaluation level in advance, and the energy efficiency evaluation device comprises:

10. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.

11. A computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-8.

12. A computer program product comprising a computer program which, when executed by a processor, implements the method of any of claims 1-8.