CN115146880B - Intelligent auxiliary decision evaluation method and device for coal and coalbed methane coordinated development scheme - Google Patents
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Abstract
The application provides an intelligent aid decision evaluation method and device for a coal and coal bed gas coordination development scheme. The method comprises the following steps: according to the coordinated development conditions of the target mine, discretized segmented value processing is carried out on the expected interval of the space-time constraint condition parameters to obtain a plurality of groups of different space-time constraint condition parameter combinations, three-level effect evaluation index values corresponding to the different space-time constraint condition parameter combinations are obtained through solving, a second-level effect evaluation index and a first-level effect evaluation index are sequentially calculated, and finally a comprehensive evaluation index is obtained. And determining the optimal solution of the scheme by comparing a plurality of comprehensive evaluation indexes. The method realizes intelligent auxiliary decision-making, improves the coal and coal bed gas coordinated development efficiency, establishes a coal and coal bed gas coordinated development scheme optimization decision-making process which takes an optimal development scheme as a target solution and realizes solution by a computer programming language, realizes intellectualization and automation in the decision-making process through a computer, and reduces the difficulty in coal and coal bed gas coordinated development and popularization.
Description
Technical Field
The application relates to the technical field of coal bed gas and coal co-mining, in particular to an intelligent auxiliary decision evaluation method and device for a coal and coal bed gas coordinated development scheme.
Background
The method comprises the steps of entering a stage of simultaneously exploiting and utilizing two resources of coal and coal bed gas, forming a multi-form coal and coal bed gas coordinated development technology for improving the coal bed gas exploitation efficiency and the gas extraction efficiency, wherein the occurrence conditions of the coal bed gas and the coal resources in each mining area have certain differences, and the coal bed gas exploitation technology and the coal exploitation technology are selected according to the characteristics of each mining area. At present, respective coal and coal bed gas development technology systems are formed, and because the coal mining engineering and the gas production engineering have a mutual restriction relationship in time and space, how to reasonably arrange the coal mining engineering and the gas production engineering and realize the safe and efficient coordinated development of coal and coal bed gas is a scientific problem faced by each mining area.
Aiming at the problems of incongruity, mutual interference and mutual restriction existing for a long time in the development of coal and coal bed gas, the coordinated development of the coal and the coal bed gas in a coal mining area forms a plurality of coordinated development modes, summarizes a coal and coal bed gas coordinated development technical system, and lays an important foundation for the coordinated development of the coal and the coal bed gas. However, most of the above results are developed in typical mine research of demonstration engineering, and cannot adapt to the production conditions of all mines in coal mining areas.
Therefore, it is particularly urgent to optimize the key technology for the coordinated development of coal and coal bed gas to meet the actual demand of production. The coordinated development of the coal and the coal bed gas is a complex system engineering, a reasonable coordinated development mode is selected and optimized, the optimal development technology and process are adopted and designed to popularize and apply the coordinated development technology of the coal and the coal bed gas, and the optimized decision evaluation is carried out on the coordinated development scheme of the coal and the coal bed gas through a systematic and scientific method, so that the key for realizing the coordinated development, popularization and application of the coal and the coal bed gas is realized. At present, no mature and practical method exists in the aspect of auxiliary decision evaluation of a coal and coal bed gas coordinated development scheme.
Disclosure of Invention
The application provides an intelligent aid decision evaluation method and device for a coal and coal bed gas coordinated development scheme, so that a reasonable coordinated development mode can be selected. The technical scheme of the application is as follows:
in a first aspect, an embodiment of the present application provides an intelligent aid decision evaluation method for a coal and coalbed methane coordinated development scheme, including:
establishing a coal and coal bed gas coordinated development mode optimization decision index system, wherein the coal and coal bed gas coordinated development mode optimization decision index system comprises a coordinated development condition index A1, a space-time constraint condition index A2 and an effect evaluation index A3;
determining index parameter expectation intervals corresponding to a plurality of indexes of the space-time constraint condition index A2 based on the obtained index parameter values of the coordinated development condition index A1 of the target mine;
obtaining a plurality of groups of different time-space constraint condition index parameter combinations based on index parameter expectation intervals corresponding to a plurality of indexes of the time-space constraint condition index A2;
calculating a comprehensive evaluation index of the multi-level evaluation index of the effect evaluation index A3 based on each group of the space-time constraint condition index parameter combination; until a plurality of comprehensive evaluation indexes corresponding to the plurality of different time-space constraint condition index parameter combinations are obtained;
and obtaining an optimal evaluation result based on the plurality of comprehensive evaluation indexes.
In some embodiments, obtaining a plurality of different sets of spatio-temporal constraint index parameter combinations based on the index parameter expectation intervals corresponding to the respective indexes of the spatio-temporal constraint index A2 includes:
discretizing and segmenting index parameter expected intervals corresponding to a plurality of indexes of the space-time constraint condition index A2 to obtain a plurality of discretized index parameter expected intervals;
forming a plurality of groups of different space-time constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval; and each group of space-time constraint condition index parameter combination corresponds to a plurality of indexes of the space-time constraint condition index A2.
In some embodiments, said obtaining an optimal evaluation result based on said plurality of comprehensive evaluation indexes comprises:
comparing the multiple comprehensive evaluation indexes to obtain the maximum value of the comprehensive evaluation indexes;
obtaining an optimal evaluation result based on the maximum value of the comprehensive evaluation index; and the optimal evaluation result is a space-time constraint condition index parameter combination corresponding to the maximum value of the comprehensive evaluation index.
In some embodiments, the effect evaluation index A3 includes a comprehensive evaluation index, a primary effect evaluation index U, a secondary effect evaluation index, and a tertiary effect evaluation index, the comprehensive evaluation index is a comprehensive evaluation index of the primary effect evaluation index U, each index of the primary effect evaluation index U correspondingly includes a plurality of the secondary effect evaluation indexes, and each index of the secondary effect evaluation indexes correspondingly includes a plurality of the tertiary effect evaluation indexes.
In some embodiments, the calculating a comprehensive evaluation index of the multi-level evaluation index parameters of the effect evaluation index A3 based on each group of the spatio-temporal constraint index parameter combinations includes:
calculating an index actual value of the three-level effect evaluation index based on each group of space-time constraint condition index parameter combination;
standardizing the calculated actual index values of the three-level effect evaluation indexes to obtain evaluation indexes of the three-level effect evaluation indexes, and determining weight values of the three-level effect evaluation indexes;
calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value;
calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index;
and calculating a comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U.
In some embodiments, the co-ordination development condition indicator A1 comprises raw coal bed methane contentCoal face gas contentCoal face advancing speedV sc Average coal thickness of stoping coal seamhLength of coal faceLDensity of coal ρ, ground well arrangement densityρ gh And the hole drilling amount per ton of coal gas of the coal seam mined on the coal mining working faceρ kt-yc Coal face stoping roadway arrangement modem hc ;
The space-time constraint condition index A2 comprises the coal face recovery timeT sc1 Length of production from surface wellT gh2 And the duration of the succession phase of the conversion from the planning area to the development areaT gh-kt Pre-pumping standard-reaching time of extraction areaT kt2 Time length of succession phase for switching from development area to production areaT kt-sc ;
The primary effect evaluation index U comprises comprehensive benefits U of the coal mining system 1 And gas production system comprehensive benefit U 2 (ii) a The coal mining system has comprehensive benefits U 1 Correspondingly setting 2 second-level evaluation indexes which respectively represent coal mining resource benefits E 1 Coal mining safety benefit E 2 (ii) a The coal mining system has comprehensive benefits U 2 Correspondingly setting 2 secondary effect evaluation indexes which are respectively gas production resource benefits E 3 Safety benefits of gas production E 4 (ii) a The coal mining resource benefit E 1 Comprises 2 three-level effect evaluation indexes, namely coal mining amountMscRatio of coal bed gas production to coal productionQW(ii) a Safety benefit of coal mining E 2 Comprises 3 three-level effect evaluation indexes which are respectively the reduction rate of the gas content in the planning areaC gh Gas content at the beginning of development areaC kt 、Gas content of coal at beginning of production areaC sc (ii) a Said gas production resource benefit E 3 Comprises 4 three-level effect evaluation indexes, namely the coal bed gas exploitation amount of a planning areaQ gh Coal bed gas exploitation amount of exploitation areaQ kt Production area coal bed gas exploitation amountQ sc、 Coal bed gas productionQ(ii) a The above-mentionedSafety benefit of gas production E 4 Comprises 5 three-level effect evaluation indexes, namely a planning region occupation ratio n in three regions gh Three-region duration development area proportionn kt Three zones long production zone ration sc Length and ratio of coal bed gas production to three zonesQTGas production volume ratio of planning area of three gas production volumesQGH。
In some embodiments, the normalizing the calculated actual value of the index of the three-level effect evaluation index to obtain the evaluation index of the three-level effect evaluation index includes:
indexes in the three-level effect evaluation indexesx i When the indexes have positive benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (2)X i The data which is subjected to the standardization processing for the actual value of the index is calculated according to the following first formula:
indexes among the three-level effect evaluation indexesx i When the indexes have negative benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (1)X i The data subjected to the standardization processing for the actual value of the index is calculated according to the following second formula:
wherein:
x i is shown asiIndex actual values of the item three-level effect evaluation indexes;
a i denotes the firstiThe lower limit value of the critical value of the evaluation index of the item three-level effect can be determined according to the relevant standard, the mean value of the evaluation objects or the sampleTaking an unallowable value for the measured value;
b i denotes the firstiThe upper limit of the critical value of the evaluation index of the third-level effect can be expected according to the relevant standard, the mean value of the evaluation object or the actual measurement value of the sample.
In some embodiments, said calculating an evaluation index of said secondary effectiveness evaluation indicator based on an evaluation index of said tertiary effectiveness evaluation indicator and said corresponding weight value comprises:
calculating the evaluation index of the secondary effect evaluation index by a third formula based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, wherein the third formula is expressed as follows;
wherein:
E j denotes the firstjThe evaluation index of the item secondary effect evaluation index,j =1,2…m;
W i is shown asiThe weight value of the evaluation index of the three-level effect,i=1,2…n;
X i denotes the firstiEvaluation index of the third-level effect.
In some embodiments, the calculating an evaluation index of the primary effect evaluation indicator U based on the evaluation index of the secondary effect evaluation indicator includes:
calculating the evaluation index of the primary effect evaluation index U by a fourth formula based on the evaluation index of the secondary effect evaluation index, wherein the fourth formula is represented as follows:
wherein:
U k denotes the firstkThe evaluation index of the first-level effect evaluation index,k =1,2;
E j is shown asjThe evaluation index of the item secondary effect,j =1,2…m。
in some embodiments, the calculating a comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U includes:
based on the evaluation index of the primary effect evaluation index U, calculating a comprehensive evaluation index of the comprehensive evaluation index through a fifth formulaDThe fifth formula is expressed as follows:
wherein:
Dthe comprehensive evaluation index represents the coordinated development level of the coal and the coal bed gas;
Trepresents the coordination index of the coal mining system and the coal bed gas development system,
wherein,T=αU 1 +bU 2 ;
wherein:α、bexpressed as a preset coefficient, the coal mining and the coal bed gas development are considered to be equally importantα=b=0.5。
In some embodiments, the forming a plurality of different spatio-temporal constraint index parameter combinations based on the plurality of discretized index parameter expectation intervals and a plurality of discrete values of each of the discretized index parameter expectation intervals comprises:
and forming a plurality of groups of different time-space constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval based on an interval quantitative discrete group lifting method.
In a second aspect, an embodiment of the present application provides an intelligent aid decision evaluation device for a coal and coalbed methane coordinated development scheme, including:
the system comprises an index system determining module, a coal and coal bed gas coordinated development mode optimization decision index system and a result evaluation module, wherein the index system comprises a coordinated development condition index A1, a space-time constraint condition index A2 and an effect evaluation index A3;
the constraint index interval acquisition module is used for determining index parameter expectation intervals corresponding to a plurality of indexes of the space-time constraint condition index A2 based on the acquired index parameter values of the coordinated development condition index A1 of the target mine;
an index parameter combination obtaining module, configured to obtain multiple different sets of time-space constraint condition index parameter combinations based on index parameter expectation intervals corresponding to respective multiple indexes of the time-space constraint condition index A2;
the effect evaluation index calculation module is used for calculating the comprehensive evaluation index of the multi-level evaluation index of the effect evaluation index A3 based on each group of space-time constraint condition index parameter combination; until a plurality of comprehensive evaluation indexes corresponding to the plurality of different time-space constraint condition index parameter combinations are obtained;
and the evaluation result acquisition module is used for obtaining an optimal evaluation result based on the plurality of comprehensive evaluation indexes.
In some embodiments, the index parameter combination obtaining module is specifically configured to:
discretizing and segmenting the index parameter expected intervals corresponding to the indexes of the space-time constraint condition index A2 to obtain a plurality of discretized index parameter expected intervals;
forming a plurality of groups of different space-time constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval; and each group of space-time constraint condition index parameter combination corresponds to a plurality of indexes of the space-time constraint condition index A2.
In some embodiments, the evaluation result obtaining module is specifically configured to:
comparing the multiple comprehensive evaluation indexes to obtain the maximum value of the comprehensive evaluation indexes;
obtaining an optimal evaluation result based on the maximum value of the comprehensive evaluation index; and the optimal evaluation result is a space-time constraint condition index parameter combination corresponding to the maximum value of the comprehensive evaluation index.
In some embodiments, the effect evaluation index A3 includes a comprehensive evaluation index, a primary effect evaluation index U, a secondary effect evaluation index, and a tertiary effect evaluation index, the comprehensive evaluation index is a comprehensive evaluation index of the primary effect evaluation index U, each index of the primary effect evaluation index U correspondingly includes a plurality of the secondary effect evaluation indexes, and each index of the secondary effect evaluation indexes correspondingly includes a plurality of the tertiary effect evaluation indexes.
In some embodiments, the effect evaluation index calculation module, when calculating the comprehensive evaluation index of the multi-level evaluation index parameters of the effect evaluation index A3 based on each set of the spatiotemporal constraint index parameter combinations, is configured to:
calculating an index actual value of the three-level effect evaluation index based on each group of space-time constraint condition index parameter combination;
standardizing the index actual value of the three-level effect evaluation index to obtain an evaluation index of the three-level effect evaluation index, and determining a weight value of the three-level effect evaluation index;
calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value;
calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index;
and calculating the comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U.
In some embodiments, the co-ordinated development conditions indicator A1 comprises raw coal bed gas contentCoal face gas contentCoal face advancing speedV sc Average coal thickness of stoping coal seamhLength of coal faceLDensity of coal ρ, ground well arrangement densityρ gh Ton coal gas drilling amount of coal mining face coal seamρ kt-yc Coal face mining roadway arrangement modem hc ;
The space-time constraint condition index A2 comprises the coal face recovery timeT sc1 Length of production from surface wellT gh2 Duration of succession phase for conversion from planning zone to development zoneT gh-kt Pre-pumping standard-reaching time of extraction areaT kt2 Time length of succession phase for switching from development area to production areaT kt-sc ;
The primary effect evaluation index U comprises comprehensive benefits U of the coal mining system 1 And gas production system comprehensive benefit U 2 (ii) a Comprehensive benefit U of coal mining system 1 Correspondingly setting 2 second-level evaluation indexes which are respectively coal mining resource benefits E 1 Coal mining safety benefit E 2 (ii) a Comprehensive benefit U of coal mining system 2 Correspondingly setting 2 secondary effect evaluation indexes which are respectively gas production resource benefits E 3 Safety benefit of gas production E 4 (ii) a The coal mining resource benefit E 1 Comprises 2 three-level effect evaluation indexes, namely coal mining amountMscRatio of coal bed gas production to coal productionQW(ii) a The coal mining safety benefit E 2 Comprises 3 three-level effect evaluation indexes which are respectively the reduction rate of the gas content in the planning areaC gh Gas content at the beginning of development areaC kt 、Gas content of coal at beginning of production areaC sc (ii) a The gas production resource benefit E 3 Comprises 4 three-level effect evaluation indexes which are respectively the coal bed gas exploitation amount of a planning areaQ gh Coal bed gas exploitation amount of exploitation areaQ kt Production area coal bed gas exploitation amountQ sc、 Coal bed gas productionQ(ii) a The safety benefit of gas production E 4 Comprises 5 three-level effect evaluation indexes, namely a planning region occupation ratio n in three regions gh Three-region long development area ration kt Three-zone time duration production zone proportionn sc Length and ratio of coal bed gas production to three zonesQTGas production volume ratio of planning area of three gas production volumesQGH。
In some embodiments, the effect evaluation index calculation module, when normalizing the calculated actual value of the index of the third-level effect evaluation index to obtain the evaluation index of the third-level effect evaluation index, is configured to:
indexes among the three-level effect evaluation indexesx i When the index has positive benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (1)X i The data subjected to the standardization processing for the actual value of the index is calculated according to a first formula as follows:
indexes in the three-level effect evaluation indexesx i When the indexes have negative benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (1)X i The data subjected to the standardization processing for the actual value of the index is calculated according to the following second formula:
wherein:
x i denotes the firstiIndex actual value of the item three-level effect evaluation index;
a i is shown asiThe lower limit value of the critical value of the item three-level effect evaluation index can be an unallowable value according to a relevant standard, an evaluation object mean value or a sample measured value;
b i denotes the firstiThe upper limit of the critical value of the evaluation index of the third-level effect can be expected according to the relevant standard, the mean value of the evaluation object or the actual measurement value of the sample.
In some embodiments, the effect evaluation indicator calculation module, when calculating the evaluation index of the secondary effect evaluation indicator based on the evaluation index of the tertiary effect evaluation indicator and the corresponding weight value, is configured to:
calculating the evaluation index of the secondary effect evaluation index through a third formula based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, wherein the third formula is expressed as follows;
wherein:
E j denotes the firstjThe evaluation index of the item secondary effect,j =1,2…m;
W i is shown asiThe weight value of the evaluation index of the three-level effect,i=1,2…n;
X i is shown asiEvaluation index of tertiary effect of item.
In some embodiments, the effect evaluation index calculation module, when calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index, is configured to:
calculating the evaluation index of the primary effect evaluation index U by a fourth formula based on the evaluation index of the secondary effect evaluation index, wherein the fourth formula is represented as follows:
wherein:
U k is shown askThe evaluation index of each first-level effect evaluation index,k =1,2;
E j is shown asjThe evaluation index of the item secondary effect,j =1,2…m。
in some embodiments, the effect evaluation index calculation module, when calculating the comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U, is configured to:
based on the evaluation index of the primary effect evaluation index U, calculating a comprehensive evaluation index of the comprehensive evaluation index through a fifth formulaDThe fifth formula is expressed as follows:
wherein:
Dthe comprehensive evaluation index represents the coordinated development level of the coal and the coal bed gas;
Trepresents the coordination index of the coal mining system and the coal bed gas development system,
wherein,T=αU 1 +bU 2 ;
wherein:α、bexpressed as a preset coefficient, since coal mining and coal bed gas development are considered to be equally important, consideration can be given toα=b=0.5。
In some embodiments, the index parameter combination obtaining module is specifically configured to, when a plurality of different sets of spatio-temporal constraint condition index parameter combinations are formed based on the plurality of discretized index parameter expected intervals and a plurality of discrete values of each discretized index parameter expected interval, perform:
and forming a plurality of groups of different time-space constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval based on an interval quantitative discrete group lifting method.
In a third aspect, an embodiment of the present application 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, and the instructions are executed by the at least one processor to enable the at least one processor to perform the intelligent aid decision evaluation method for coal and coalbed methane coordination development scheme according to the embodiment of the first aspect of the present application.
In a fourth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the intelligent aid decision-making evaluation method for a coal and coalbed methane coordinated development scheme according to the embodiments of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, which includes computer instructions, and when executed by a processor, the computer instructions implement the steps of the intelligent aid decision-making evaluation method for a coal and coalbed methane coordinated development scheme described in the first aspect of the present application.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
the method comprises the steps of determining an expected interval of a time-space constraint condition index according to a coordinated development condition of a target mine, taking values according to different intervals, forming a plurality of groups of coal and coal bed gas coordinated development schemes, establishing a multi-stage effect evaluation index for coal and coal bed gas coordinated development quantification, pre-evaluating coordinated development effects of different schemes to obtain a plurality of evaluation results, and realizing intelligent auxiliary decision by comparing and analyzing the plurality of evaluation results, thereby improving the coal and coal bed gas coordinated development efficiency. In addition, by establishing the optimal development mode as a target solution and realizing the optimized decision-making process of the coal and coal bed gas coordinated development scheme solved by a computer programming language, the decision-making process realizes intellectualization and automation by a computer, and the method has the advantages of simple use, high accuracy and small manual interference, and reduces the difficulty in coal and coal bed gas coordinated development and popularization.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application and are not to be construed as limiting the application.
FIG. 1 is a flow chart illustrating a method for intelligent aid decision-making evaluation of a coal and coal bed methane coordinated development scenario, according to an exemplary embodiment.
Fig. 2 is a flowchart illustrating a method of calculating a composite evaluation index of an effectiveness evaluation index according to an exemplary embodiment.
FIG. 3 is a block diagram illustrating an intelligent aid decision-making evaluation apparatus for a coal and coal bed methane coordinated development scheme in accordance with an exemplary embodiment.
FIG. 4 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
In order to make the technical solutions of the present application better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first", "second", and the like in this application are used for distinguishing similar objects, and do not necessarily have to be used for describing a particular order or sequence. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be implemented in sequences other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Fig. 1 is a schematic flow chart illustrating a method for intelligent aid decision evaluation of a coal and coal bed methane coordinated development scheme according to an exemplary embodiment, which may include steps S101-S105.
In step S101, a coal and coalbed methane coordinated development mode optimization decision index system is established, wherein the coal and coalbed methane coordinated development mode optimization decision index system includes a coordinated development condition index A1, a space-time constraint condition index A2, and an effect evaluation index A3. The coordinated development condition index A1 and the space-time constraint condition index A2 both comprise a plurality of indexes, and the effect evaluation index A3 comprises a plurality of stages of evaluation indexes with progressive relation.
In step S102, an index parameter expectation interval corresponding to each of the plurality of indexes of the space-time constraint condition index A2 is determined based on the index parameter value of the obtained coordinated development condition index A1 of the target mine.
That is to say, the index parameter value of the coordinated development condition index A1 of the target mine is obtained, and the index parameter expected interval corresponding to each of the multiple indexes of the space-time constraint condition index A2 is determined based on the index parameter value of the coordinated development condition index A1.
In this embodiment, the index parameter values corresponding to the coordinated development condition indexes of the target mine may be counted according to practical experience and mine production requirements, and the index parameter expectation interval of the index parameters of the space-time constraint condition indexes is determined.
In step S103, a plurality of different sets of space-time constraint condition index parameter combinations are obtained based on the index parameter expectation sections corresponding to the plurality of indexes of the space-time constraint condition index A2.
Optionally, the method for obtaining a plurality of different combinations of the spatio-temporal constraint condition index parameters includes:
discretizing and segmenting the index parameter expected intervals corresponding to the indexes of the space-time constraint condition index A2 to obtain a plurality of discretized index parameter expected intervals;
forming a plurality of groups of different space-time constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval; and each group of space-time constraint condition index parameter combination corresponds to a plurality of indexes of the space-time constraint condition index A2.
It can be understood that a group of space-time constraint condition index parameter combinations are formed by taking values from a plurality of index parameter expectation intervals and taking out one value, and a plurality of values are taken for each index parameter expectation interval and combined, so that a plurality of groups of different space-time constraint condition index parameter combinations can be obtained.
Optionally, a plurality of different time-space constraint condition index parameter combinations are formed based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval based on an interval quantitative discrete clustering method.
In step S104, a comprehensive evaluation index of the multi-level evaluation index of the effect evaluation index A3 is calculated based on each group of spatiotemporal constraint condition index parameter combinations; until a plurality of comprehensive evaluation indexes corresponding to the plurality of groups of different space-time constraint condition index parameter combinations are obtained.
That is, the step S103 is repeated for each index parameter segment, and a plurality of comprehensive evaluation indexes corresponding to the index parameter segments are obtained.
In step S105, an optimal evaluation result is obtained based on the plurality of comprehensive evaluation indexes.
Optionally, obtaining an optimal evaluation result includes:
comparing the multiple comprehensive evaluation indexes to obtain the maximum value of the comprehensive evaluation indexes;
obtaining an optimal evaluation result based on the maximum value of the comprehensive evaluation index; and the optimal evaluation result is a space-time constraint condition index parameter combination corresponding to the maximum value of the comprehensive evaluation index.
According to the method, the expected interval of the space-time constraint condition index can be determined according to the coordinated development condition index of the target mine, values are taken for different intervals to form multiple groups of coal and coal bed gas coordinated development schemes, the coordinated development effects of different schemes are pre-evaluated according to the established multi-stage effect evaluation index to obtain multiple comprehensive evaluation indexes, and intelligent auxiliary decision-making is realized by comparing and analyzing the multiple comprehensive evaluation indexes, so that the coal and coal bed gas coordinated development efficiency is improved.
In some embodiments, the effect evaluation index A3 includes a comprehensive evaluation index, a primary effect evaluation index U, a secondary effect evaluation index, and a tertiary effect evaluation index, the comprehensive evaluation index is a comprehensive evaluation index of the primary effect evaluation index U, each index of the primary effect evaluation index U correspondingly includes a plurality of the secondary effect evaluation indexes, and each index of the secondary effect evaluation indexes correspondingly includes a plurality of the tertiary effect evaluation indexes.
In some embodiments, for step S104, calculating a comprehensive evaluation index of the multi-level evaluation index parameters of the effect evaluation index A3 based on each set of spatio-temporal constraint condition index parameter combinations, the method may include the following steps:
s201, calculating an index actual value of the three-level effect evaluation index based on each group of space-time constraint condition index parameter combination.
S202, standardizing the index actual value of the three-level effect evaluation index to obtain an evaluation index of the three-level effect evaluation index, and determining the weight value of the three-level effect evaluation index.
It should be noted that, determining the weight value of each index is to determine the contribution degree of each index to the element layer (belonging index grading) and each element layer to the target layer (comprehensive evaluation index), and the reasonability of determining the index weight will have a direct influence on the evaluation result of the index system. The method for determining the index weight mainly comprises a subjective weighting method and an objective weighting method. The subjective weighting method adopts a qualitative method of comprehensive consultation scoring to determine the weight, and the objective weighting method determines the weight of the indexes by analyzing the degree of relation among the indexes, the degree of relation and the information quantity provided by the indexes according to original information from objective environment, so that the deviation caused by subjective factors is avoided to a certain extent.
Optionally, the weight values of a plurality of indexes in the three-level effect evaluation indexes are determined by using a variation coefficient method, so that the objectivity is relatively strong.
S203, calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value.
And S204, calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index.
And S205, calculating a comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U.
In this embodiment, according to the index level correspondence relationship among the comprehensive evaluation index of the effect evaluation index A3, the primary effect evaluation index U, the secondary effect evaluation index, and the tertiary effect evaluation index, the comprehensive evaluation index of the highest-level comprehensive evaluation index is obtained from the tertiary effect evaluation index step by step upward.
In some embodiments, the co-ordination development condition indicator A1 comprises raw coal bed methane contentCoal face gas contentCoal face advancing speedV sc Average coal thickness of coal seamhLength of coal faceLDensity of coal ρ, ground well arrangement densityρ gh Ton coal gas drilling hole for coal mining face coal seamMeasurement ofρ kt-yc Coal face stoping roadway arrangement modem hc 。
The space-time constraint condition index A2 comprises the coal face recovery timeT sc1 Length of production from surface wellT gh2 Duration of succession phase for conversion from planning zone to development zoneT gh-kt Pre-pumping standard-reaching time of extraction areaT kt2 And the duration of the succession phase for the conversion from the development area to the production areaT kt-sc 。
In step S103, a plurality of different time-space constraint condition index parameter combinations are formed based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval based on an interval quantitative discrete clustering method; namely, the index parameter expectation interval of the 5 space-time constraint condition indexes is taken.
The effect evaluation index A3 comprises a comprehensive evaluation index, a primary effect evaluation index U, a secondary effect evaluation index and a tertiary effect evaluation index, the comprehensive evaluation index is the comprehensive evaluation index of the primary effect evaluation index U and reflects the overall level of coordinated development of coal and coal bed gas in a coal mine area, and the overall level of coordinated development is higher if the numerical value is larger.
The primary effect evaluation index U comprises comprehensive benefits U of the coal mining system 1 And gas production system comprehensive benefit U 2 ;
The coal mining system has comprehensive benefits U 1 Correspondingly setting 2 second-level evaluation indexes which respectively represent coal mining resource benefits E 1 Coal mining safety benefit E 2 ;
The coal mining resource benefit E 1 Comprises 2 three-level effect evaluation indexes, namely coal mining amountMscRatio of coal bed gas production to coal productionQW;
Safety benefit of coal mining E 2 Comprises 3 three-level effect evaluation indexes which are respectively the reduction rate of the gas content in the planning areaC gh Gas content at the beginning of development areaC kt 、Production areaGas content per ton coal at the beginningC sc ;
The coal mining system has comprehensive benefits U 2 Correspondingly setting 2 secondary effect evaluation indexes which are respectively gas production resource benefits E 3 Safety benefits of gas production E 4 ;
The gas production resource benefit E 3 Comprises 4 three-level effect evaluation indexes which are respectively the coal bed gas exploitation amount of a planning areaQ gh Coal bed gas exploitation amount of exploitation areaQ kt Production area coal bed gas exploitation amountQ sc、 Coal bed gas productionQ;
The gas production safety benefit E 4 Comprises 5 three-level effect evaluation indexes, namely a planning region occupation ratio n in three regions gh Three-region duration development area proportionn kt Three-zone time duration production zone proportionn sc Length and ratio of coal bed gas production to three zonesQTGas production volume ratio of planning area of gas production volume of three areasQGH。
The first-level effect evaluation index U, the second-level effect evaluation index and the third-level effect evaluation index and the corresponding relation are shown in the table 1.
Table 1:
in step S201, an index actual value of the three-level effect evaluation index is calculated based on each set of spatio-temporal constraint condition index parameter combinations.
That is, 5 indexes (coal face extraction time) based on the spatio-temporal constraint condition index A2T sc1 Length of production from surface wellT gh2 And the duration of the succession phase of the conversion from the planning area to the development areaT gh-kt Pre-pumping standard-reaching time of extraction areaT kt2 Time length of succession phase for switching from development area to production areaT kt-sc (ii) a ) And calculating the actual index value of the three-level effect evaluation index according to the following calculation formula:
coal productionMscThe formula of the calculation method is as follows:
wherein,T sc1 in order to achieve the recovery time of the coal face,V sc the coal face is the advancing speed of the coal face, m/d; (ii) ahIn order to recover the average coal thickness of the coal seam,Lrho is the coal density for the coal face length.
Coal bed gas exploitation amount of planned areaQ gh The formula of the calculation method is as follows:
(2)
wherein,ρ gh arranging density for the surface well; a. b, c are the coefficient values of the extraction efficiency curve of the ground well, and are obtained by fitting according to the coal bed methane exploitation amount field data, and the relationship between the coal bed methane exploitation amount of the ground well and the exploitation time meets a quadratic parabolic function;T gh2 the drainage and production time of the ground well is long,T gh-kt the time length of the succession phase for the transition from the planning region to the development region.
Coal bed gas exploitation amount of exploitation areaQ kt The formula of the calculation method is as follows:
(3)
wherein,ρ kt-yc the hole drilling quantity per ton of coal gas of a coal mining layer of a coal face is expressed as m/t;expressed as a coal face coal mining equipment deployment time;n bc expressed as coal face returnsThe tunneling speed coefficient of a mining roadway (coal roadway) is 2 for a double-roadway tunneling mode, and is 1 for a single-roadway tunneling mode; v hc Tunneling speed m/d for a coal face mining roadway (coal roadway);expressed as a coal face stoping roadway arrangement mode, the coefficient is 2 for a ventilation system of a 'one-in one-back' type, and the coefficient is 3 for a ventilation system of a 'two-in one-back' type;m、nfitting the coefficient value in the relation function between the coal bed gas exploitation amount and the time in the exploitation region stage according to the field data of the coal bed gas exploitation amount to obtain the coefficient value, wherein the quantitative relation between the coal bed gas exploitation amount and the exploitation time meets the negative exponential function; e is a natural constant having a value of about 2.7182818459045;T kt-sc the time length of the take-over phase for the transition from the development area to the production area.
Production area coalbed methane exploitation amountQ sc The formula of the calculation method is as follows:
(4)
wherein,T sc1 the coal face is mined for the coal face recovery time, d,ρ kt-yc and drilling holes for ton coal gas of a coal seam mined on a coal face in m/t.
Reduction rate of gas content in planned areaC gh The formula of the calculation method is as follows:
gas content at the beginning of the development areaC kt The formula of the calculation method is as follows:
gas content per ton coal at the beginning of production areaC sc The formula of the calculation method is as follows:
plan area ratio in three areasn gh The formula of the calculation method is as follows:
(8)
wherein,T gh1 representing the construction and debugging duration of the ground well;T gh2 representing the drainage and production time of the ground well;T gh-kt representing the duration of a succession phase of the conversion from the planning area to the development area;T kt1 the duration of a drilling construction stage of the underground gas production project is shown;T kt2 expressed as the pre-extraction standard-reaching time of the extraction area,T kt3 Representing the excavation duration of a stoping roadway;T kt4 representing a coal face coal mining equipment arrangement;T kt-sc representing the time length of a succession phase for the conversion from an exploitation area to a production area;T sc1 representing the recovery time of the coal face;T sc2 the sealing stage duration of the coal face is d;T sc the coal production zone duration, d;T sc =T sc1 +T sc2 。
three-region duration development area proportionn kt The formula of the calculation method is as follows:
(9)
long production zone ratio in three zonesn sc Is a method of calculatingThe formula is as follows:
coal bed gas productionQThe formula of the calculation method is as follows:
ratio of coal bed gas exploitation amount to coal exploitation amountQWThe formula of the calculation method is as follows:
length and ratio of coal bed gas production to three zonesQTThe formula of the calculation method is as follows:
(13)
gas production ratio of three-zone gas production planning zoneQGHThe formula of the calculation method is as follows:
the index actual value of the three-level effect evaluation index can be obtained through the calculation formula.
In some embodiments, the normalizing the calculated actual value of the index of the three-level effect evaluation index to obtain the evaluation index of the three-level effect evaluation index includes:
indexes in the three-level effect evaluation indexesx i When the index has positive benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (2)X i Is marked for the actual value of the indexThe normalized data is calculated according to the following first formula:
indexes in the three-level effect evaluation indexesx i When the indexes have negative benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (1)X i The data subjected to the standardization processing for the actual value of the index is calculated according to the following second formula:
wherein:
x i is shown asiIndex actual values of the item three-level effect evaluation indexes;
a i denotes the firstiThe lower limit value of the critical value of the evaluation index of the item three-level effect can be an unallowable value according to a relevant standard, an evaluation object mean value or a sample measured value;
b i denotes the firstiThe upper limit value of the critical value of the evaluation index of the third-level effect can be an expected value according to the relevant standard, the average value of the evaluation object or the actual measurement value of the sample.
In some embodiments, said calculating an evaluation index of said secondary effectiveness evaluation index based on an evaluation index of said tertiary effectiveness evaluation index and said corresponding weight value comprises:
calculating the evaluation index of the secondary effect evaluation index through a third formula based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, wherein the third formula is expressed as follows;
wherein:
E j denotes the firstjThe evaluation index of the item secondary effect evaluation index,j =1,2…m;
W i is shown asiThe weight value of the evaluation index of the three-level effect,i=1,2…n;
X i denotes the firstiEvaluation index of the third-level effect.
In some embodiments, the calculating an evaluation index of the primary effect evaluation indicator U based on the evaluation index of the secondary effect evaluation indicator includes:
calculating the evaluation index of the primary effect evaluation index U by a fourth formula based on the evaluation index of the secondary effect evaluation index, wherein the fourth formula is represented as follows:
wherein:
U k is shown askThe evaluation index of each first-level effect evaluation index,k =1,2;
E j denotes the firstjThe evaluation index of the item secondary effect,j =1,2…m。
in some embodiments, the calculating a comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U includes:
based on the evaluation index of the primary effect evaluation index U, calculating the comprehensive evaluation index of the comprehensive evaluation index through a fifth formulaDThe fifth formula is expressed as follows:
wherein:
Da comprehensive evaluation index representing the coordinated development level of coal and coal bed gas;
Trepresents the coordination index of the coal mining system and the coal bed gas development system,
wherein,T=αU 1 +bU 2 ;
wherein:α、bexpressed as a preset coefficient, since coal mining and coal bed gas development are considered to be equally important, consideration can be given toα=b=0.5。
According to the intelligent assistant decision evaluation method for the coal and coal bed gas coordinated development scheme, the expected interval of the time-space constraint condition index can be determined according to the coordinated development condition of the target mine, values are taken for different intervals to form multiple groups of coal and coal bed gas coordinated development schemes, the quantitative multi-stage effect evaluation index of the coal and coal bed gas coordinated development is established, the coordinated development effects of different schemes are pre-evaluated to obtain multiple evaluation results, the multiple evaluation results are contrastively analyzed, the intelligent assistant decision is realized, and therefore the coal and coal bed gas coordinated development efficiency is improved. In addition, by establishing a coal and coal bed gas coordinated development scheme optimization decision flow which takes the optimal development mode as a target solution and realizes solution by a computer programming language, the decision process realizes intellectualization and automation by a computer, and the method has the advantages of simple use, high accuracy and small manual interference, and reduces the difficulty in coal and coal bed gas coordinated development and popularization.
Corresponding to the embodiment of the above intelligent aid decision-making evaluation method for a coal and coal bed methane coordinated development scheme, the embodiment of the present application further provides an intelligent aid decision-making evaluation device for a coal and coal bed methane coordinated development scheme, as shown in fig. 3, the intelligent aid decision-making evaluation device for a coal and coal bed methane coordinated development scheme may include: an index system determining module 301, a constraint index interval obtaining module 302, an index parameter combination obtaining module 303, an effect evaluation index calculating module 304 and an evaluation result obtaining module 305.
Specifically, the index system determining module 301 is configured to establish a coal and coal bed gas coordinated development mode optimization decision-making index system, where the coal and coal bed gas coordinated development mode optimization decision-making index system includes a coordinated development condition index A1, a spatiotemporal constraint condition index A2, and an effect evaluation index A3, the coordinated development condition index A1 and the spatiotemporal constraint condition index A2 both include multiple indexes, and the effect evaluation index A3 includes multiple-stage evaluation indexes having a progressive relationship;
a constraint index interval obtaining module 302, configured to determine, based on an index parameter value of an obtained coordinated development condition index A1 of a target mine, an index parameter expected interval corresponding to each of multiple indexes of the space-time constraint condition index A2;
an index parameter combination obtaining module 303, configured to obtain multiple different sets of time-space constraint condition index parameter combinations based on index parameter expectation intervals corresponding to multiple indexes of the time-space constraint condition index A2;
an effect evaluation index calculation module 304, configured to calculate a comprehensive evaluation index of the multi-level evaluation index of the effect evaluation index A3 based on each group of spatiotemporal constraint condition index parameter combinations; until a plurality of comprehensive evaluation indexes corresponding to the plurality of different time-space constraint condition index parameter combinations are obtained;
an evaluation result obtaining module 305, configured to obtain an optimal evaluation result based on the multiple comprehensive evaluation indexes.
In some embodiments of the present application, the index parameter combination obtaining module 303 is specifically configured to:
discretizing and segmenting the index parameter expected intervals corresponding to the indexes of the space-time constraint condition index A2 to obtain a plurality of discretized index parameter expected intervals;
forming a plurality of groups of different space-time constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval; and each group of space-time constraint condition index parameter combination corresponds to a plurality of indexes of the space-time constraint condition index A2.
In some embodiments of the present application, the evaluation result obtaining module 305 is specifically configured to:
comparing the multiple comprehensive evaluation indexes to obtain the maximum value of the comprehensive evaluation indexes;
obtaining an optimal evaluation result based on the maximum value of the comprehensive evaluation index; and the optimal evaluation result is a space-time constraint condition index parameter combination corresponding to the maximum value of the comprehensive evaluation index.
In some embodiments of the present application, the effect evaluation index A3 includes a comprehensive evaluation index, a primary effect evaluation index U, a secondary effect evaluation index, and a tertiary effect evaluation index, where the comprehensive evaluation index is a comprehensive evaluation index of the primary effect evaluation index U, each index in the primary effect evaluation index U correspondingly includes a plurality of the secondary effect evaluation indexes, and each index in the secondary effect evaluation index correspondingly includes a plurality of the tertiary effect evaluation indexes.
In some embodiments of the present application, the effect evaluation index calculation module 304, when calculating the comprehensive evaluation index of the multi-level evaluation index parameter of the effect evaluation index A3 based on each set of spatiotemporal constraint index parameter combinations, is configured to:
calculating an index actual value of the three-level effect evaluation index based on each group of space-time constraint condition index parameter combination;
standardizing the calculated actual index values of the three-level effect evaluation indexes to obtain evaluation indexes of the three-level effect evaluation indexes, and determining weight values of the three-level effect evaluation indexes;
calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value;
calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index;
and calculating the comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U.
In some embodiments of the present application, the harmonized development condition indicator A1 comprises raw coal bed methane contentCoal face gas contentCoal face advancing speedV sc Average coal thickness of coal seamhLength of coal faceLDensity of coal ρ, ground well arrangement densityρ gh Ton coal gas drilling amount of coal mining face coal seamρ kt-yc Coal face stoping roadway arrangement modem hc ;
The space-time constraint condition index A2 comprises the coal face recovery timeT sc1 Length of production from surface wellT gh2 And the duration of the succession phase of the conversion from the planning area to the development areaT gh-kt Pre-pumping standard-reaching time of extraction areaT kt2 Time length of succession phase for switching from development area to production areaT kt-sc ;
The primary effect evaluation index U comprises comprehensive benefits U of the coal mining system 1 And gas production system comprehensive benefit U 2 (ii) a The coal mining system has comprehensive benefits U 1 Correspondingly setting 2 second-level evaluation indexes which are respectively coal mining resource benefits E 1 Coal mining safety benefit E 2 (ii) a The coal mining system has comprehensive benefits U 2 Correspondingly setting 2 secondary effect evaluation indexes which are respectively gas production resource benefits E 3 Safety benefit of gas production E 4 (ii) a The coal mining resource benefit E 1 Comprises 2 three-level effect evaluation indexes, namely coal mining amountMscRatio of coal bed gas production to coal productionQW(ii) a The coal mining safety benefit E 2 Comprises 3 three-level effect evaluation indexes which are respectively the reduction rate of the gas content in the planning areaC gh Gas content at the beginning of development areaC kt 、Gas content per ton coal at the beginning of production areaC sc (ii) a The gas production resource benefit E 3 Comprises 4 three-level effect evaluation indexes which are respectively the coal bed gas exploitation amount of a planning areaQ gh Coal bed gas exploitation amount of exploitation areaQ kt And the coal bed gas exploitation amount of the production areaQ sc、 Coal bed gas productionQ(ii) a The gas production safety benefit E 4 Comprises 5 three-level effect evaluation indexes, namely a planning region occupation ratio n in three regions gh Three-region long development area ration kt Three-zone time duration production zone proportionn sc Length and ratio of coal bed gas production to three zonesQTGas production volume ratio of planning area of gas production volume of three areasQGH。
In some embodiments of the present application, the effect evaluation index calculation module 304, when performing a normalization process on the calculated actual value of the three-level effect evaluation index to obtain an evaluation index of the three-level effect evaluation index, is configured to:
indexes in the three-level effect evaluation indexesx i When the indexes have positive benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (2)X i The data which is subjected to the standardization processing for the actual value of the index is calculated according to the following first formula:
indexes among the three-level effect evaluation indexesx i When the indexes have negative benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (2)X i The data which is subjected to the standardization processing for the actual value of the index is calculated according to the following second formula:
wherein:
x i is shown asiIndex actual value of the item three-level effect evaluation index;
a i is shown asiThe lower limit value of the critical value of the item three-level effect evaluation index can be an unallowable value according to a relevant standard, an evaluation object mean value or a sample measured value;
b i denotes the firstiThe upper limit value of the critical value of the evaluation index of the third-level effect can be an expected value according to the relevant standard, the average value of the evaluation object or the actual measurement value of the sample.
In some embodiments of the present application, the effect evaluation index calculation module 304, when calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, is configured to:
calculating the evaluation index of the secondary effect evaluation index through a third formula based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, wherein the third formula is expressed as follows;
wherein:
E j is shown asjThe evaluation index of the item secondary effect evaluation index,j =1,2…m;
W i denotes the firstiThe weight value of the evaluation index of the three-level effect,i=1,2…n;
X i is shown asiEvaluation index of the third-level effect.
In some embodiments of the application, the effect evaluation index calculation module 304, when calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index, is configured to:
based on the evaluation index of the secondary effect evaluation index, calculating the evaluation index of the primary effect evaluation index U through a fourth formula, wherein the fourth formula is represented as follows:
wherein:
U k is shown askThe evaluation index of each first-level effect evaluation index,k =1,2;
E j is shown asjThe evaluation index of the item secondary effect evaluation index,j =1,2…m。
in some embodiments of the present application, the effect evaluation index calculation module 304, when calculating the comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U, is configured to:
based on the evaluation index of the primary effect evaluation index U, calculating the comprehensive evaluation index of the comprehensive evaluation index through a fifth formulaDThe fifth formula is expressed as follows:
wherein:
Da comprehensive evaluation index representing the coordinated development level of coal and coal bed gas;
Trepresents the coordination index of the coal mining system and the coal bed gas development system,
wherein,T=αU 1 +bU 2 ;
wherein:α、bexpressed as a preset coefficient, the coal mining and the coal bed gas development are considered to be equally importantα=b=0.5。
In some embodiments of the present application, the index parameter combination obtaining module 303 is specifically configured to, when a plurality of different sets of spatio-temporal constraint condition index parameter combinations are formed based on the plurality of discretized index parameter expected intervals and a plurality of discrete values of each discretized index parameter expected interval:
and forming a plurality of groups of different time-space constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval based on an interval quantitative discrete group lifting method.
According to the intelligent aid decision evaluation device for the coal and coal bed gas coordinated development scheme, the expected interval of the time-space constraint condition index can be determined according to the coordinated development condition of the target mine, values are taken for different intervals to form multiple groups of coal and coal bed gas coordinated development schemes, the multi-stage effect evaluation index of coal and coal bed gas coordinated development quantification is established, the coordinated development effects of different schemes are pre-evaluated to obtain multiple evaluation results, the multiple evaluation results are contrastively analyzed, the intelligent aid decision is realized, and therefore the coal and coal bed gas coordinated development efficiency is improved. In addition, by establishing the optimal development mode as a target solution and realizing the optimized decision-making process of the coal and coal bed gas coordinated development scheme solved by a computer programming language, the decision-making process realizes intellectualization and automation by a computer, and the method has the advantages of simple use, high accuracy and small manual interference, and reduces the difficulty in coal and coal bed gas coordinated development and popularization.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 4 is a block diagram of an electronic device of a method for intelligent aid decision evaluation of a coal-bed methane coordinated development scheme according to an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 4, the electronic apparatus includes: one or more processors 401, memory 402, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). One processor 401 is illustrated in fig. 4.
The memory 402 is a non-transitory computer-readable storage medium, and can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the method for intelligent aid decision evaluation of coal and coalbed methane harmonization development scheme in the embodiment of the present application (for example, the index system determination module 301, the constraint index interval acquisition module 302, the index parameter combination acquisition module 303, the effect evaluation index calculation module 304, and the evaluation result acquisition module 305 shown in fig. 3). The processor 401 executes the non-transitory software programs, instructions and modules stored in the memory 402 to execute various functional applications and data processing of the server, that is, to implement the method for intelligent aided decision evaluation of coal-bed methane coordinated development scheme in the above method embodiments.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area can store data created according to the use of electronic equipment for intelligent auxiliary decision evaluation of the coal and coal bed gas coordination development scheme and the like. Further, the memory 402 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 402 may optionally include memory remotely located from the processor 401, and such remote memory may be connected over a network to an electronic device for intelligent aid decision-making evaluation of coal and coal bed methane coordinated development scenarios. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic equipment of the intelligent auxiliary decision evaluation method for the coal and coal bed gas coordinated development scheme can further comprise: an input device 403 and an output device 404. The processor 401, the memory 402, the input device 403 and the output device 404 may be connected by a bus or other means, and fig. 4 illustrates an example of a connection by a bus.
The input device 403 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic device for intelligent aid decision-making evaluation of coal and coal bed methane coordinated development plans, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointer, one or more mouse buttons, a track ball, a joystick, and the like. The output devices 404 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), the Internet, and blockchain networks.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
In an exemplary embodiment, a computer program product is also provided, in which instructions, when executed by a processor of an electronic device, enable the electronic device to perform the above-described method.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only.
It will be understood that the present application is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (18)
1. An intelligent aid decision evaluation method for a coal and coalbed methane coordinated development scheme is characterized by comprising the following steps:
establishing a coal and coal bed gas coordinated development mode optimization decision index system, wherein the coal and coal bed gas coordinated development mode optimization decision index system comprises a coordinated development condition index A1, a space-time constraint condition index A2 and an effect evaluation index A3;
determining an index parameter expected interval corresponding to each of a plurality of indexes of the space-time constraint condition index A2 based on the obtained index parameter value of the coordinated development condition index A1 of the target mine;
obtaining a plurality of groups of different time-space constraint condition index parameter combinations based on index parameter expectation intervals corresponding to a plurality of indexes of the time-space constraint condition index A2;
calculating a comprehensive evaluation index of the multi-level evaluation index of the effect evaluation index A3 based on each group of the space-time constraint condition index parameter combination; until a plurality of comprehensive evaluation indexes corresponding to the plurality of different time-space constraint condition index parameter combinations are obtained;
obtaining an optimal evaluation result based on the plurality of comprehensive evaluation indexes;
the effect evaluation index A3 comprises a comprehensive evaluation index, a primary effect evaluation index U, a secondary effect evaluation index and a tertiary effect evaluation index, wherein the comprehensive evaluation index is the comprehensive evaluation index of the primary effect evaluation index U, each index in the primary effect evaluation index U correspondingly comprises a plurality of secondary effect evaluation indexes, and each index in the secondary effect evaluation index correspondingly comprises a plurality of tertiary effect evaluation indexes;
the coordinated development condition index A1 comprises the original coal bed gas content C 0 Coal face mining and coal falling gas content C t Coal face advancing speedV sc Average coal thickness of stoping coal seamhLength of coal faceLDensity of coal ρ, ground well arrangement densityρ gh Ton coal gas drilling amount of coal mining face coal seamρ kt-yc Coal face mining roadway arrangement modem hc ;
The space-time constraint condition index A 2 Including coal face extraction timeT sc1 Length of production from surface wellT gh2 Duration of succession phase for conversion from planning zone to development zoneT gh-kt Pre-pumping standard-reaching time of extraction areaT kt2 Time length of succession phase for switching from development area to production areaT kt-sc ;
The primary effect evaluation index U comprises comprehensive benefits U of the coal mining system 1 And gas production system comprehensive benefit U 2 (ii) a Comprehensive benefit U of coal mining system 1 Correspondingly setting 2 second-level evaluation indexes which are respectively coal mining resource benefits E 1 Coal mining safety benefit E 2 (ii) a The gas production system has comprehensive benefits U 2 Correspondingly setting 2 secondary effect evaluation indexes which are respectively gas production resource benefits E 3 Safety benefits of gas production E 4 (ii) a The coal mining resource benefit E 1 Comprises 2 three-level effect evaluation indexes, namely coal mining amountMscRatio of coal bed gas production to coal productionQW(ii) a The coal mining safety benefit E 2 Comprises 3 three-level effect evaluation indexes which are respectively the reduction rate of the gas content in the planning areaC gh Gas content at the beginning of development areaC kt 、Gas content of coal at beginning of production areaC sc (ii) a The gas production resource benefit E 3 Comprises 4 three-level effect evaluation indexes, namely the coal bed gas exploitation amount of a planning areaQ gh Coal bed gas exploitation amount of exploitation areaQ kt Production area coal bed gas exploitation amountQ sc Coal bed gas productionQ(ii) a The safety benefit of gas production E 4 Comprises 5 three-level effect evaluation indexes, namely a planning area occupation ratio n in three areas gh Three-region duration development area proportionn kt Three zones long production zone ration sc Length and ratio of coal bed gas production to three zonesQTGas production volume ratio of planning area of gas production volume of three areasQGH;
The calculating of the comprehensive evaluation index of the multi-level evaluation index parameters of the effect evaluation index A3 based on each group of the space-time constraint condition index parameter combinations comprises the following steps:
calculating an index actual value of the three-level effect evaluation index based on each group of space-time constraint condition index parameter combination;
standardizing the index actual value of the three-level effect evaluation index to obtain an evaluation index of the three-level effect evaluation index, and determining a weight value of the three-level effect evaluation index;
calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value;
calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index;
calculating a comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U;
coal mining volumeMscThe formula of the calculation method is as follows:
wherein,T sc1 for coal-mining working faceThe time of the extraction is shortened,V sc in order to increase the coal face advancing speed,hin order to recover the average coal thickness of the coal seam,Lrho is the coal density for the length of the coal face;
the coal bed gas exploitation amount Q of the planning area gh The formula of the calculation method is as follows:
wherein,ρ gh arranging density for the surface well; a. b, c are the coefficient values of the extraction efficiency curve of the ground well, and are obtained by fitting according to the coal bed methane exploitation amount field data, and the relationship between the coal bed methane exploitation amount of the ground well and the exploitation time meets a quadratic parabolic function;T gh2 the length of the production time of the ground well,T gh-kt the time length of a succession phase for the conversion from the planning area to the development area;
coal bed gas exploitation amount Q of the exploitation area kt The formula of the calculation method is as follows:
wherein,ρ kt-yc the ton coal gas drilling amount of a coal mining layer of a coal face is expressed; t is face-bz Expressed as a coal face coal mining equipment placement time;n bc expressed as a coefficient of the excavation rate of the stope of the coal face, which is taken to be 2 for the double-lane driving mode and 1,V for the single-lane driving mode hc For the excavation speed of the mining roadway of the coal face,is shown as a coal face mining roadway arrangement mode,m、nfitting the coefficient value in the relation function between the coal bed gas exploitation amount and the time in the exploitation region stage according to the field data of the coal bed gas exploitation amount to obtain the coefficient value, wherein the quantitative relation between the coal bed gas exploitation amount and the exploitation time meets the negative exponential function; e is the natural constantThe number of the first and second groups is,T kt-sc a succession phase duration for the transition from the exploitation region to the production region;
coal bed gas exploitation amount of the production areaQ sc The formula of the calculation method is as follows:
wherein,T sc1 in order to achieve the recovery time of the coal face,ρ kt-yc drilling holes for each ton of coal gas of a coal mining layer on a coal face;
rate of decrease in gas content in the planned areaC gh The formula of the calculation method is as follows:
the gas content at the beginning of the development areaC kt The formula of the calculation method is as follows:
the gas content of coal per ton at the beginning of the production areaC sc The formula of the calculation method is as follows:
the percentage of the long planning zone in three zonesn gh The formula of the calculation method is as follows:
wherein,T gh1 the time length of the construction and debugging of the ground well is shown,T gh2 representing the drainage and production time of the ground well;T gh-kt representing the duration of the take-over phase of the transition from the planning zone to the exploitation zone,T kt1 the time length of the drilling construction stage of the underground gas production project is shown,T kt2 expressed as the pre-extraction standard-reaching time length of the extraction area,T kt3 the length of the excavation time of the stoping roadway is shown,T kt4 showing a coal face coal mining equipment arrangement,T kt-sc indicating the duration of the take-over phase for the transition from the exploitation region to the production region,T sc1 the recovery time of the coal face is shown,T sc2 the duration of the coal face sealing stage is long;
the percentage of the three long development zonesn kt The formula of the calculation method is as follows:
long production zone fraction over three zonesn sc The formula of the calculation method is as follows:
the coal bed gas productionQThe formula of the calculation method is as follows:
the ratio of the coal bed gas exploitation amount to the coal exploitation amountQWThe formula of the calculation method is as follows:
the coal bed gas exploitation amount and the duration and the ratio of three areasQTThe formula of the calculation method is as follows:
the gas production volume of the three-zone gas production planning zone accounts for the ratioQGHThe formula of the calculation method is as follows:
2. the method according to claim 1, wherein the obtaining a plurality of different spatio-temporal constraint index parameter combinations based on the index parameter expectation interval corresponding to each of the plurality of indices of the spatio-temporal constraint index A2 comprises:
discretizing and segmenting index parameter expected intervals corresponding to a plurality of indexes of the space-time constraint condition index A2 to obtain a plurality of discretized index parameter expected intervals;
forming a plurality of groups of different space-time constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval; and each group of space-time constraint condition index parameter combination corresponds to a plurality of indexes of the space-time constraint condition index A2.
3. The method of claim 1, wherein obtaining an optimal evaluation result based on the plurality of composite evaluation indices comprises:
comparing the multiple comprehensive evaluation indexes to obtain the maximum value of the comprehensive evaluation indexes;
obtaining an optimal evaluation result based on the maximum value of the comprehensive evaluation index; and the optimal evaluation result is a space-time constraint condition index parameter combination corresponding to the maximum value of the comprehensive evaluation index.
4. The method according to claim 1, wherein the normalizing the calculated actual value of the index of the tertiary effect evaluation index to obtain the evaluation index of the tertiary effect evaluation index comprises:
indexes in the three-level effect evaluation indexesx i When the indexes have positive benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (1)X i The data which is subjected to the standardization processing for the actual value of the index is calculated according to the following first formula:
indexes in the three-level effect evaluation indexesx i When the indexes have negative benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (2)X i The data subjected to the standardization processing for the actual value of the index is calculated according to the following second formula:
wherein:
x i is shown asi Index actual value of the item three-level effect evaluation index;
a i denotes the firstiThe lower limit value of the critical value of the evaluation index of the item three-level effect is an unallowable value according to the average value of an evaluation object or the measured value of a sample;
b i is shown asi And taking expected values according to the average value of the evaluation objects or the actual measured value of the sample for the critical value upper limit value of the item three-level effect evaluation index.
5. The method of claim 1, wherein calculating the evaluation index of the secondary effect evaluation indicator based on the evaluation index of the tertiary effect evaluation indicator and the corresponding weight value comprises:
calculating the evaluation index of the secondary effect evaluation index by a third formula based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, wherein the third formula is expressed as follows;
wherein:
E j denotes the firstjThe evaluation index of the item secondary effect,j =1,2…m;
W i is shown asi The weight value of the evaluation index of the three-level effect,i =1,2…n;
X i is shown asi Evaluation index of the third-level effect.
6. The method according to claim 5, wherein the calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index comprises:
based on the evaluation index of the secondary effect evaluation index, calculating the evaluation index of the primary effect evaluation index U through a fourth formula, wherein the fourth formula is represented as follows:
wherein:
U k denotes the firstk The evaluation index of each first-level effect evaluation index,k =1,2;
E j is shown asjThe evaluation index of the item secondary effect,j =1,2…m。
7. the method according to claim 1, wherein the calculating of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U comprises:
based on the evaluation index of the primary effect evaluation index U, calculating a comprehensive evaluation index of the comprehensive evaluation index through a fifth formulaDThe fifth formula is expressed as follows:
wherein:
Da comprehensive evaluation index representing the coordinated development level of coal and coal bed gas;
Trepresents the coordination index of the coal mining system and the coal bed gas development system,
wherein,T=αU 1 +bU 2 ;
wherein:α、bexpressed as a preset coefficient, because coal mining and coal bed gas development are considered to be equally important, theα=b=0.5。
8. The method of claim 2, wherein forming a plurality of different spatio-temporal constraint index parameter combinations based on the plurality of discretized index parameter expectation intervals and a plurality of discretized values of each of the discretized index parameter expectation intervals comprises:
and forming a plurality of groups of different time-space constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval based on an interval quantitative discrete group lifting method.
9. The utility model provides a coal and coal bed gas development scheme intelligence aid decision evaluation device that coordinates which characterized in that includes:
the system comprises an index system determining module, a decision-making index system and a data processing module, wherein the index system determining module is used for establishing a coal and coal bed gas coordinated development mode optimization decision-making index system, and the coal and coal bed gas coordinated development mode optimization decision-making index system comprises a coordinated development condition index A1, a space-time constraint condition index A2 and an effect evaluation index A3;
a constraint index interval acquisition module, configured to determine, based on an acquired index parameter value of a coordinated development condition index A1 of a target mine, an index parameter expectation interval corresponding to each of multiple indexes of the space-time constraint condition index A2;
an index parameter combination obtaining module, configured to obtain multiple different sets of time-space constraint condition index parameter combinations based on index parameter expectation intervals corresponding to respective multiple indexes of the time-space constraint condition index A2;
the effect evaluation index calculation module is used for calculating the comprehensive evaluation index of the multi-level evaluation index of the effect evaluation index A3 based on each group of space-time constraint condition index parameter combination; until a plurality of comprehensive evaluation indexes corresponding to the plurality of different time-space constraint condition index parameter combinations are obtained;
the evaluation result acquisition module is used for obtaining an optimal evaluation result based on the plurality of comprehensive evaluation indexes;
the effect evaluation index A3 comprises a comprehensive evaluation index, a primary effect evaluation index U, a secondary effect evaluation index and a tertiary effect evaluation index, wherein the comprehensive evaluation index is the comprehensive evaluation index of the primary effect evaluation index U, each index in the primary effect evaluation index U correspondingly comprises a plurality of secondary effect evaluation indexes, and each index in the secondary effect evaluation index correspondingly comprises a plurality of tertiary effect evaluation indexes;
the coordinated development condition index A1 comprises the original coal bed gas content C 0 Coal face mining and coal falling gas content C t Coal face advancing speedV sc Go back toAverage coal thickness of coal seamhLength of coal faceLDensity of coal ρ, ground well arrangement densityρ gh Ton coal gas drilling amount of coal mining face coal seamρ kt-yc Coal face stoping roadway arrangement modem hc ;
The space-time constraint condition index A 2 Including coal face recovery time T sc1 Time T for well drainage and production on ground gh2 And the duration T of the succession stage of the conversion from the planning area to the development area gh-kt Pre-pumping standard-reaching time length T of extraction area kt2 Time length T of succession stage for switching from development area to production area kt-sc ;
The primary effect evaluation index U comprises comprehensive benefits U of the coal mining system 1 And gas production system comprehensive benefit U 2 (ii) a Comprehensive benefit U of coal mining system 1 Correspondingly setting 2 second-level evaluation indexes which respectively represent coal mining resource benefits E 1 Coal mining safety benefit E 2 (ii) a The gas production system has comprehensive benefits U 2 Correspondingly setting 2 secondary effect evaluation indexes which are respectively gas production resource benefits E 3 Safety benefit of gas production E 4 (ii) a The coal mining resource benefit E 1 Comprises 2 three-level effect evaluation indexes, namely coal mining amountMscRatio of coal bed gas mining amount to coal mining amountQW(ii) a Safety benefit of coal mining E 2 Comprises 3 three-level effect evaluation indexes which are respectively the reduction rate of the gas content in the planning areaC gh Gas content at the beginning of development areaC kt 、Gas content per ton coal at the beginning of production areaC sc (ii) a The gas production resource benefit E 3 Comprises 4 three-level effect evaluation indexes, namely the coal bed gas exploitation amount of a planning areaQ gh Coal bed gas exploitation amount of exploitation areaQ kt And the coal bed gas exploitation amount of the production areaQ sc Coal bed gas productionQ(ii) a The gas production safety benefit E 4 Comprises 5 three-level effect evaluation indexes, namely a planning area occupation ratio n in three areas gh Three-region long development area ration kt Three long production zoneThann sc Coal bed gas exploitation amount and three-zone duration and ratioQTGas production volume ratio of planning area of three gas production volumesQGH;
The effect evaluation index calculation module is used for calculating the comprehensive evaluation index of the multi-level evaluation index parameters of the effect evaluation index A3 based on each group of the space-time constraint condition index parameter combination:
calculating an index actual value of the three-level effect evaluation index based on each group of space-time constraint condition index parameter combination;
standardizing the calculated actual index values of the three-level effect evaluation indexes to obtain evaluation indexes of the three-level effect evaluation indexes, and determining weight values of the three-level effect evaluation indexes;
calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value;
calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index;
calculating a comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U;
coal mining volumeMscThe formula of the calculation method is as follows:
wherein,T sc1 in order to achieve the recovery time of the coal face,V sc in order to increase the coal face advancing speed,hin order to recover the average coal thickness of the coal layer,Lrho is the coal density for the length of the coal face;
the coal bed gas exploitation amount Q of the planning area gh The formula of the calculation method is as follows:
wherein,ρ gh arranging density for the surface well; a. b, c are extraction efficiency curve coefficient values of the ground well, fitting is carried out according to coal bed methane exploitation amount field data to obtain, and the relation between the coal bed methane exploitation amount of the ground well and exploitation time meets a quadratic parabolic function;T gh2 the length of the production time of the ground well,T gh-kt the time length of a succession stage for the conversion from the planning area to the development area;
coal bed gas exploitation amount Q of the exploitation area kt The formula of the calculation method is as follows:
wherein,ρ kt-yc the ton coal gas drilling amount of a coal mining layer of a coal face is expressed;expressed as a coal face coal mining equipment deployment time;n bc expressed as a coefficient of the excavation rate of the stope of the coal face, which is taken to be 2 for the double-lane driving mode and 1,V for the single-lane driving mode hc For the excavation speed of the mining roadway of the coal face,is shown as a coal face mining roadway arrangement mode,m、nfitting according to the coal bed gas exploitation amount field data to obtain a coefficient value in a relation function between the coal bed gas exploitation amount and the time in the exploitation region stage, wherein the quantitative relation between the coal bed gas exploitation amount and the exploitation time meets a negative exponential function; e is a natural constant, and the natural constant is,T kt-sc a succession phase duration for the transition from the exploitation region to the production region;
the coal bed gas exploitation amount Q of the production area sc The formula of the calculation method is as follows:
wherein,T sc1 in order to shorten the recovery time of the coal face,ρ kt-yc drilling holes for each ton of coal gas of a coal mining layer on a coal face;
the reduction rate of the gas content in the planning areaC gh The formula of the calculation method is as follows:
the gas content at the beginning of the development areaC kt The formula of the calculation method is as follows:
the gas content per ton coal at the beginning of the production areaC sc The formula of the calculation method is as follows:
the percentage of the long planning zone in three zonesn gh The formula of the calculation method is as follows:
wherein,T gh1 the time length of the construction and debugging of the ground well is shown,T gh2 representing the drainage and production time of the ground well;T gh-kt representing the duration of the take-over phase of the transition from the planning zone to the exploitation zone,T kt1 the time length of the drilling construction stage of the underground gas production project is shown,T kt2 expressed as the pre-extraction standard-reaching time length of the extraction area,T kt3 the length of the excavation of the mining roadway is shown,T kt4 showing a coal face coal mining equipment arrangement,T kt-sc indicating the duration of the take-over phase for the transition from the exploitation region to the production region,T sc1 the recovery time of the coal face is shown,T sc2 the sealing stage time of the coal face is long;
the percentage of the three long development zonesn kt The formula of the calculation method is as follows:
long production zone fraction over three zonesn sc The formula of the calculation method is as follows:
coal bed gas productionQThe formula of the calculation method is as follows:
the ratio of the coal bed gas exploitation amount to the coal exploitation amountQWThe formula of the calculation method is as follows:
the coal bed gas exploitation amount and the duration and the ratio of three areasQTThe formula of the calculation method is as follows:
the gas production volume of the three-zone gas production planning zone accounts for the ratioQGHThe formula of the calculation method is as follows:
10. the apparatus according to claim 9, wherein the index parameter combination obtaining module is specifically configured to:
discretizing and segmenting the index parameter expected intervals corresponding to the indexes of the space-time constraint condition index A2 to obtain a plurality of discretized index parameter expected intervals;
forming a plurality of groups of different space-time constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval; and each group of space-time constraint condition index parameter combination corresponds to a plurality of indexes of the space-time constraint condition index A2.
11. The apparatus according to claim 9, wherein the evaluation result obtaining module is specifically configured to:
comparing the multiple comprehensive evaluation indexes to obtain the maximum value of the comprehensive evaluation indexes;
obtaining an optimal evaluation result based on the maximum value of the comprehensive evaluation index; and the optimal evaluation result is a space-time constraint condition index parameter combination corresponding to the maximum value of the comprehensive evaluation index.
12. The apparatus according to claim 9, wherein the effect evaluation index calculation module, when normalizing the calculated actual value of the index of the third-level effect evaluation index to obtain the evaluation index of the third-level effect evaluation index, is configured to:
indexes among the three-level effect evaluation indexesx i When the index has positive benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (1)X i The data normalized for the actual value of the index is as followsThe first formula calculates:
indexes among the three-level effect evaluation indexesx i When the indexes have negative benefits on the coordinated development of coal and coal bed gasx i Evaluation index of the individual index of (1)X i The data subjected to the standardization processing for the actual value of the index is calculated according to the following second formula:
wherein:x i denotes the firsti Index actual value of the item three-level effect evaluation index;
a i is shown asiThe lower limit value of the critical value of the evaluation index of the item three-level effect is an unallowable value according to the average value of an evaluation object or the measured value of a sample;
b i denotes the firsti And taking expected values according to the average value of the evaluation objects or the actual measured value of the sample for the critical value upper limit value of the item three-level effect evaluation index.
13. The apparatus of claim 9, wherein the effect evaluation index calculation module, when calculating the evaluation index of the secondary effect evaluation index based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, is configured to:
calculating the evaluation index of the secondary effect evaluation index by a third formula based on the evaluation index of the tertiary effect evaluation index and the corresponding weight value, wherein the third formula is expressed as follows;
wherein:
E j denotes the firstjThe evaluation index of the item secondary effect evaluation index,j =1,2…m;
W i denotes the firsti The weight value of the evaluation index of the three-level effect,i =1,2…n;
X i denotes the firsti Evaluation index of the third-level effect.
14. The apparatus according to claim 9, wherein the effect evaluation index calculation module, when calculating the evaluation index of the primary effect evaluation index U based on the evaluation index of the secondary effect evaluation index, is configured to:
based on the evaluation index of the secondary effect evaluation index, calculating the evaluation index of the primary effect evaluation index U through a fourth formula, wherein the fourth formula is represented as follows:
wherein:
U k is shown ask The evaluation index of the first-level effect evaluation index,k =1,2;
E j denotes the firstjThe evaluation index of the item secondary effect,j =1,2…m。
15. the apparatus according to claim 9, wherein the effect evaluation index calculation module, when calculating the comprehensive evaluation index of the comprehensive evaluation index based on the evaluation index of the primary effect evaluation index U, is configured to:
based on the evaluation index of the primary effect evaluation index U, calculating a comprehensive evaluation index of the comprehensive evaluation index through a fifth formulaDThe fifth formula is expressed as follows:
wherein:
Da comprehensive evaluation index representing the coordinated development level of coal and coal bed gas;
Trepresents the coordination index of the coal mining system and the coal bed gas development system,
wherein,T=αU 1 +bU 2 ;
wherein:α、bexpressed as a preset coefficient, since coal mining and coal bed gas development are considered to be equally important, theα=b=0.5。
16. The apparatus of claim 10, wherein the index parameter combination obtaining module is configured to combine a plurality of different sets of spatiotemporal constraint index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discrete values of each discretized index parameter expected interval; for:
and forming a plurality of groups of different space-time constraint condition index parameter combinations based on the plurality of discretized index parameter expected intervals and a plurality of discretized values of each discretized index parameter expected interval based on an interval quantitative discrete group lifting method.
17. 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 cause the at least one processor to perform the method for intelligent aid decision evaluation of coal and coal bed methane coordinated development scheme of any of claims 1 to 8.
18. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the intelligent aid decision-making evaluation method for a coal and coal bed methane coordinated development scenario of any one of claims 1 to 8.
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