Method and device for measuring post-mining activity methane emissions from coal, and electronic device

Abstract

The application discloses a coal mine post-activity methane emission metering method and device and electronic equipment, divides an emission stage along a coal mine post-flow process, synchronously collects coal samples at each stage boundary to obtain particle size characteristics and actually measures gas desorbable amounts, inverses stage-specific emission factors based on actual decay laws of the desorbable amounts along the process, so that the emission factors can truly reflect the dynamic influences of different coal qualities, particle sizes and flow processes, and fundamentally replace a method relying on fixed empirical statistical values. Therefore, a technical problem that a current emission factor method does not sufficiently consider coal quality conditions, particle size distributions and process dynamic changes, leading to large calculation deviations, can be solved, and a technical effect that methane emission metering accuracy and fineness of post-mining activities are significantly improved is achieved.

Description

Technical Field

[0001] This disclosure relates to the field of coal greenhouse gas emission monitoring technology, and in particular to a method, device and electronic equipment for measuring methane emissions from coal mine post-mining activities. Background Technology

[0002] Post-mining activities in coal mining refer to the continuous release of methane during the processes of coal washing, storage, transportation, and pre-use treatment after it has been extracted from underground and brought to the surface.

[0003] Currently, the main method for measuring methane emissions from coal mine post-mining activities is the emission factor method, which calculates methane emissions from post-mining activities by comparing coal production with a preset methane emission factor. However, existing emission factors are usually derived from empirical statistical data and do not fully consider the different coal quality conditions, coal particle size distribution, gas desorption characteristics, and dynamic changes during washing, beneficiation, and transportation processes, resulting in significant discrepancies between the calculated results and actual emissions. Summary of the Invention

[0004] This disclosure provides a method, apparatus, and electronic equipment for measuring methane emissions from coal mine post-operation activities.

[0005] According to a first aspect of this disclosure, a method for measuring methane emissions from coal mine post-mining activities is provided, comprising: Establish a spatial boundary system for methane emissions from post-mining activities, dividing the coal transfer process after it is lifted from underground to the surface into different emission stages; Coal samples were collected at the boundaries of each emission space to obtain particle size distribution parameters that characterize the overall coal particle size composition. The amount of desorbable methane in coal samples at the boundary of each emission space was measured to obtain the actual amount of desorbable methane in coal at the starting position of different emission stages. Based on the decay law of the actual desorbable gas amount of coal at different emission space boundaries, the methane emission factor corresponding to each emission stage is obtained by inversion. Based on raw coal production data, methane emissions were calculated for each emission stage.

[0006] Optionally, the establishment of the spatial boundary system for methane emissions from post-mining activities includes: The entire post-mine activity process after coal leaves the mine is defined as the metering starting boundary, the production and processing stage before coal leaves the mining area is defined as the stage division boundary, and the transportation and utilization process after coal leaves the mining area is defined as the subsequent emission stage, forming a sequentially connected emission spatial boundary system to distinguish the methane emission responsibilities borne by different responsible entities.

[0007] Optionally, obtaining the particle size distribution parameters characterizing the overall coal particle size composition includes: Coal samples were collected at the boundaries of each emission space and screened step by step according to the preset particle size interval to obtain the mass percentage of coal in each particle size. The particle size parameters of coal of each size grade are obtained by using on-site testing methods or process parameter prediction methods. Based on the mass proportion and particle size parameters of coal in each particle size class, a particle size distribution function is used for fitting to obtain the characteristic parameters of coal particle size distribution across the entire scale, and then the characteristic particle size that can characterize the overall coal particle size composition is calculated.

[0008] Optionally, the determination of the gas desorbable amount of coal samples at the boundaries of each emission space includes: Coal samples with characteristic particle sizes were collected at each emission space boundary, and gas content was tested to obtain the total gas content of the coal. Based on the gas release pattern during the coal hoisting process, predict the amount of gas lost from when the coal leaves the wellhead until the start of the test. To obtain the amount of non-desorbable gas under normal pressure, the actual amount of desorbable gas at the boundary of coal at different emission spaces is calculated based on the total gas content of coal, the amount of gas lost, and the amount of non-desorbable gas.

[0009] Optionally, the predicted amount of gas loss from coal leaving the wellhead to the start of the test includes: Based on coal particle size parameters, coal quality characteristic parameters, and environmental condition parameters, the gas release process of coal samples during the process of being hoisted from underground to the surface is simulated to predict the amount of gas loss. The environmental condition parameters include ambient temperature, ambient air pressure, and exposure time.

[0010] Optionally, the inversion to obtain the methane emission factors corresponding to each emission stage includes: Collect gas samples generated during the coal gas desorption process and determine the methane and oxygen concentrations in the desorbed gas. The measured methane concentration was corrected based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air to obtain the true methane release concentration parameters. Based on the difference in the actual amount of desorbable methane from coal at the boundary of adjacent emission spaces, and in conjunction with the methane release concentration parameter, the methane emission factor corresponding to each emission stage is obtained by inversion.

[0011] Optionally, the correction of the measured methane concentration includes: Calculate the air mixing ratio based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air; Based on the air mixing ratio, the dilution effect of the mixed air on the methane concentration is deducted to obtain the true methane release concentration parameter.

[0012] Optionally, the calculation of methane emissions for each emission stage, based on raw coal production data, includes: Based on the methane emission factor and raw coal production data, the total methane emissions during the entire post-mining activities were calculated. Calculate the methane emissions during the production and processing stage based on the methane emission factor and raw coal production data. The methane emissions during the subsequent transportation and utilization stage are calculated based on the difference between the total methane emissions and the methane emissions during the production and processing stage, in order to characterize the methane emission responsibilities borne by different responsible entities.

[0013] According to a second aspect of this disclosure, a methane emission metering device for post-mine activities in coal mining is provided, comprising: Establish a unit to establish a spatial boundary system for methane emissions from post-mine activities, dividing the coal transfer process after it is lifted from underground to the surface into different emission stages; The acquisition unit is used to collect coal samples at the boundaries of each emission space to obtain particle size distribution parameters that characterize the overall coal particle size composition. The measurement unit is used to measure the amount of gas that can be desorbed from coal samples at the boundary of each emission space, so as to obtain the actual amount of desorbable gas from coal at the starting position of different emission stages. The inversion unit is used to invert the methane emission factor corresponding to each emission stage based on the decay law of the actual desorbable methane amount of coal at different emission space boundaries. The calculation unit is used to calculate the methane emissions at each emission stage by combining raw coal production data.

[0014] Optionally, the establishment unit is further configured to: The entire post-mine activity process after coal leaves the mine is defined as the metering starting boundary, the production and processing stage before coal leaves the mining area is defined as the stage division boundary, and the transportation and utilization process after coal leaves the mining area is defined as the subsequent emission stage, forming a sequentially connected emission spatial boundary system to distinguish the methane emission responsibilities borne by different responsible entities.

[0015] Optionally, the acquisition unit is further configured to: Coal samples were collected at the boundaries of each emission space and screened step by step according to the preset particle size interval to obtain the mass percentage of coal in each particle size. The particle size parameters of coal of each size grade are obtained by using on-site testing methods or process parameter prediction methods. Based on the mass proportion and particle size parameters of coal in each particle size class, a particle size distribution function is used for fitting to obtain the characteristic parameters of coal particle size distribution across the entire scale, and then the characteristic particle size that can characterize the overall coal particle size composition is calculated.

[0016] Optionally, the measuring unit is further used for: Coal samples with characteristic particle sizes were collected at each emission space boundary, and gas content was tested to obtain the total gas content of the coal. Based on the gas release pattern during the coal hoisting process, predict the amount of gas lost from when the coal leaves the wellhead until the start of the test. To obtain the amount of non-desorbable gas under normal pressure, the actual amount of desorbable gas at the boundary of coal at different emission spaces is calculated based on the total gas content of coal, the amount of gas lost, and the amount of non-desorbable gas.

[0017] Optionally, the measuring unit is further used for: Based on coal particle size parameters, coal quality characteristic parameters, and environmental condition parameters, the gas release process of coal samples during the process of being hoisted from underground to the surface is simulated to predict the amount of gas loss. The environmental condition parameters include ambient temperature, ambient air pressure, and exposure time.

[0018] Optionally, the inversion unit is further configured to: Collect gas samples generated during the coal gas desorption process and determine the methane and oxygen concentrations in the desorbed gas. The measured methane concentration was corrected based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air to obtain the true methane release concentration parameters. Based on the difference in the actual amount of desorbable methane from coal at the boundary of adjacent emission spaces, and in conjunction with the methane release concentration parameter, the methane emission factor corresponding to each emission stage is obtained by inversion.

[0019] Optionally, the inversion unit is further configured to: Calculate the air mixing ratio based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air; Based on the air mixing ratio, the dilution effect of the mixed air on the methane concentration is deducted to obtain the true methane release concentration parameter.

[0020] Optionally, the computing unit is further configured to: Based on the methane emission factor and raw coal production data, the total methane emissions during the entire post-mining activities were calculated. Calculate the methane emissions during the production and processing stage based on the methane emission factor and raw coal production data. The methane emissions during the subsequent transportation and utilization stage are calculated based on the difference between the total methane emissions and the methane emissions during the production and processing stage, in order to characterize the methane emission responsibilities borne by different responsible entities.

[0021] According to a third aspect of this disclosure, an electronic device is provided, comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0022] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0023] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0024] The method, apparatus, and electronic equipment for measuring methane emissions from post-mine coal mining activities disclosed herein divide the coal mining process into emission stages. Coal samples are simultaneously collected at the boundaries of each stage to obtain particle size characteristics and measure the amount of desorbable gas. Based on the actual attenuation law of the desorbable gas along the process flow, specific emission factors for each stage are derived. This allows the emission factors to truly reflect the dynamic influence of different coal qualities, particle sizes, and the mining process, fundamentally replacing methods that rely on fixed empirical statistical values. Therefore, it can solve the technical problem that existing emission factor methods do not fully consider coal quality conditions, particle size distribution, and process dynamic changes, leading to large calculation deviations, and achieves a significant improvement in the accuracy and precision of methane emission measurement from post-mine mining activities.

[0025] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0026] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 This is a schematic flowchart of a method for measuring methane emissions from coal mine post-construction activities provided in an embodiment of this disclosure. Figure 2 This is a schematic diagram of the structure of a coal mine post-mine methane emission metering device provided in an embodiment of the present disclosure; Figure 3 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0027] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0028] The following description, with reference to the accompanying drawings, outlines a method, apparatus, and electronic equipment for measuring methane emissions from coal mine post-construction activities.

[0029] Figure 1 This is a schematic flowchart of a method for measuring methane emissions from coal mine post-operation activities, provided in an embodiment of this disclosure.

[0030] like Figure 1 As shown, the method includes the following steps: Step 101: Establish a spatial boundary system for methane emissions from post-mining activities, dividing the coal transfer process after it is lifted from underground to the surface into different emission stages; After coal is extracted from underground and brought to the surface, it continuously releases methane during subsequent washing, storage, transportation, and pre-utilization processing. This series of processes is collectively referred to as post-mining activities. To achieve precise, phased measurement of methane emissions from post-mining activities, it is first necessary to establish a spatial boundary system for the entire flow path of coal on the surface after it leaves the mine, dividing this continuous process into emission stages with clear physical meaning.

[0031] In this spatial boundary system, the mine exit boundary is set as the starting boundary for measuring methane emissions from post-mine activities. The mine exit boundary represents the starting point where coal leaves the mine and enters the surface production system. From this boundary onwards, methane releases during the entire surface circulation process of coal are included in the scope of post-mine activity emission measurement. After the mine exit boundary, an ore exit boundary is set as a stage division boundary based on the connection points between the production stage and subsequent transportation and utilization stages in the coal circulation path. The ore exit boundary divides the entire post-mine activity process into two stages with different emission responsibility attributions: the stage from the mine exit boundary to the ore exit boundary covers production stages such as coal washing and processing, on-site storage, and on-site transportation within the mining area; the stage after the ore exit boundary covers external transportation and pre-utilization treatment stages after the coal leaves the mining area. Methane emissions from these two stages can be attributed to the coal production entity and the subsequent transportation and utilization entity, respectively, thus providing a boundary basis for emission accounting for different responsible entities.

[0032] Step 102: Collect coal samples at the boundaries of each emission space to obtain particle size distribution parameters that characterize the overall coal particle size composition. In the established spatial boundary system, the particle size composition of coal differs at each emission boundary. Since the particle size characteristics directly affect the diffusion path and desorption rate of gas inside the coal body, it is necessary to obtain particle size distribution parameters that can characterize the overall particle size composition of coal at each emission boundary.

[0033] Representative coal samples were collected at each emission boundary. The samples were then sieved to determine the mass percentage of each particle size, thus obtaining the distribution ratio of different particle sizes. Based on this, and combining the mass distribution characteristics of each particle size with its corresponding particle size value, a particle size distribution characteristic parameter covering the entire particle size scale was constructed. This characteristic parameter comprehensively reflects the overall composition of coarse, medium, and fine particles in coal, rather than characterizing only a single particle size. The full-scale particle size distribution characteristic parameter obtained in this way can serve as the basic input parameter for characterizing the coal particle size effect in subsequent gas desorption capacity determination and emission factor inversion processes.

[0034] Step 103: Measure the amount of desorbable gas in coal samples at the boundary of each emission space to obtain the actual amount of desorbable gas in coal at the starting position of different emission stages. The amount of methane that can be desorbed from coal at each emission boundary is a key parameter for assessing the methane emission potential at that location, and its value directly determines the total methane release during the corresponding emission stage. To obtain the actual amount of desorbable methane from coal at the starting point of each emission stage, it is necessary to conduct methane content measurements and desorbable calculations at each emission boundary.

[0035] At each emission boundary, coal samples of corresponding particle sizes were collected according to the obtained full-scale particle size distribution characteristics. The total gas content of the coal was obtained using a gas content determination method. Not all gas in the total coal gas content can be desorbed and released under post-mining activity conditions. The amount of gas lost before reaching the emission boundary and the amount of residual gas that cannot be desorbed under normal pressure conditions must be deducted. The remaining portion is the actual desorbable gas content of the coal at that emission boundary. The determination of the lost gas content requires a comprehensive evaluation considering factors such as coal particle size characteristics, coal quality parameters, and environmental conditions to reflect the dynamic gas release pattern of post-mining coal during actual circulation. Through the above measurements and calculations, the actual desorbable gas content of the coal at each emission boundary was obtained, providing basic data for determining methane emission factors at different emission stages.

[0036] Step 104: Based on the decay law of the actual desorbable gas amount of coal at different emission space boundaries, the methane emission factor corresponding to each emission stage is obtained by inversion. The actual desorbable gas content of coal at each emission boundary reflects the methane release potential of coal at different transfer nodes. By comparing the differences in desorbable gas content at different boundaries, the gradual decline of gas release during post-mining activities as the transfer process progresses can be revealed. Based on this decline pattern, the methane emission factor corresponding to each emission stage can be obtained through inversion.

[0037] Specifically, based on the actual desorbable gas volume measured at each emission boundary, this study analyzes the reduction and attenuation characteristics of gas release during the flow of coal from one emission boundary to the next. Based on this, an inversion method for the methane emission factor is established: by combining the difference in desorbable gas volume at different boundaries with the corresponding coal flow process parameters, the methane release ratio per unit coal volume within a specific emission stage is calculated, i.e., the methane emission factor for that stage. Based on the established spatial boundary system, emission factor inversion calculations can be performed independently for the entire post-mining activity process and each subdivided emission stage, thereby obtaining methane emission factors applicable to different emission stages and different emission responsibility entities, providing parameter support for the separate calculation of emissions at each subsequent stage.

[0038] Step 105: Calculate the methane emissions for each emission stage based on the raw coal production data.

[0039] The econometric model uses raw coal production as the basic input and methane emission factors obtained from the inversion of each emission stage as calculation parameters. It calculates methane emissions for each emission stage through the product relationship between raw coal production and the corresponding emission factors. Based on the established spatial boundary system and corresponding emission factors, the model can output the total methane emissions for the entire post-mining activity process and the emissions for each sub-stage, thus achieving independent accounting for the methane emissions borne by different emission responsible entities. Therefore, the method of econometricing methane emissions from post-mining activities has shifted from fixed-factor estimation relying on empirical statistical data to a systematic calculation based on measured parameters of each emission boundary and dynamic process laws, improving the applicability of the econometric results to different coal quality conditions and production conditions.

[0040] In some embodiments, establishing the spatial boundary system for methane emissions from post-mining activities includes: The entire post-mine activity process after coal leaves the mine is defined as the metering starting boundary, the production and processing stage before coal leaves the mining area is defined as the stage division boundary, and the transportation and utilization process after coal leaves the mining area is defined as the subsequent emission stage, forming a sequentially connected emission spatial boundary system to distinguish the methane emission responsibilities borne by different responsible entities.

[0041] The specific construction method of the methane emission spatial boundary system for post-mine activities is as follows: The point where coal leaves the wellhead after being hoisted from underground is defined as the exit boundary. This boundary serves as the starting boundary for measuring methane emissions from post-mine activities. From this boundary, all methane released during the coal's flow on the surface is included in the measurement scope of post-mine activity emissions. Along the coal flow path, the location of the last production and processing stage before the coal leaves the mining area is defined as the exit boundary. This boundary serves as a stage division boundary, separating the post-mine activities after the exit boundary into two stages. The stage from the exit boundary to the exit boundary is the production and processing stage within the mining area, encompassing coal screening, crushing, washing, on-site storage, and on-site transportation. The stage after the exit boundary is the transportation and utilization stage outside the mining area, encompassing external transportation, transshipment storage, and pre-utilization treatment of the coal.

[0042] The wellhead and ore extraction boundaries connect with the beginning and end of each stage, forming a sequentially connected emission spatial boundary system. Under this system, methane emissions corresponding to the production and processing stages within the mining area belong to the coal production entity, while methane emissions corresponding to the transportation and utilization stages outside the mining area belong to the subsequent transportation and utilization entities. This provides a clear spatial basis for the division of methane emission responsibilities among different responsible entities.

[0043] In some embodiments, obtaining the particle size distribution parameters characterizing the overall coal particle size composition includes: Coal samples were collected at the boundaries of each emission space and screened step by step according to the preset particle size interval to obtain the mass percentage of coal in each particle size. The particle size parameters of coal of each size grade are obtained by using on-site testing methods or process parameter prediction methods. Based on the mass proportion and particle size parameters of coal in each particle size class, a particle size distribution function is used for fitting to obtain the characteristic parameters of coal particle size distribution across the entire scale, and then the characteristic particle size that can characterize the overall coal particle size composition is calculated.

[0044] Coal samples collected at the boundaries of each emission space should cover the entire particle size range of the coal at that boundary to ensure the overall representativeness of the obtained samples. The collected samples are sieved step-by-step according to preset particle size intervals. For example, mechanical sieving is performed sequentially using standard sieves with aperture sizes of 25mm, 13mm, 6mm, 3mm, 1mm, and 0.5mm to separate the coal into several particle sizes. The mass of each particle size is then weighed, and its mass percentage in the total sample is calculated.

[0045] The particle size parameters of coal of various sizes can be obtained using either on-site testing or process parameter prediction methods. On-site testing involves directly measuring the coal particles of each size class at the discharge boundary using a laser particle size analyzer or image analysis device to obtain representative particle size values ​​for each class. Process parameter prediction methods, on the other hand, calculate the equivalent particle size of coal of each size class based on known conditions such as coal mining technology, crushing equipment parameters, and washing and beneficiation processes.

[0046] After obtaining the mass percentage and particle size parameters of each particle size class, a particle size distribution function is used to continuously fit the discrete particle size data. For example, the Rosin-Rammler distribution function or the Gaudin-Schuhmann distribution function can be selected, and curve fitting is performed using the mass percentage and corresponding particle size of each particle size class as input to obtain characteristic parameters describing the continuous distribution law of coal particle size, such as the scale parameter and uniformity index in the distribution function. Based on the fitted particle size distribution function, the full-scale characteristic particle size is further calculated. This characteristic particle size is an equivalent single particle size value, which can characterize the overall particle size composition of coal at the emission boundary in subsequent gas desorption capacity determination and emission factor inversion.

[0047] In some embodiments, the determination of the gas desorbable amount of coal samples at each emission space boundary includes: Coal samples with characteristic particle sizes were collected at each emission space boundary, and gas content was tested to obtain the total gas content of the coal. Based on the gas release pattern during the coal hoisting process, predict the amount of gas lost from when the coal leaves the wellhead until the start of the test. To obtain the amount of non-desorbable gas under normal pressure, the actual amount of desorbable gas at the boundary of coal at different emission spaces is calculated based on the total gas content of coal, the amount of gas lost, and the amount of non-desorbable gas.

[0048] The determination of the desorbable gas content in coal at each emission boundary consists of three steps: obtaining the total gas content, predicting the amount of lost gas, and deducting the amount of non-desorbable gas. At each emission boundary, coal samples of the corresponding particle size are collected according to the full-scale characteristic particle size obtained in the aforementioned steps. After sealing, the samples are transported to the laboratory or directly tested on-site to determine the total gas content in the coal.

[0049] During the process of coal being hoisted from underground to the surface and transferred to various emission boundaries, methane gas is continuously released. Therefore, before reaching the emission boundary and the start of formal testing, some methane gas is lost; this is the amount of lost methane gas. The amount of lost methane gas cannot be directly measured and must be predicted based on the methane release patterns during the hoisting and transfer process. Specifically, by combining coal particle size characteristics, coal quality parameters such as volatile matter and moisture content, and environmental conditions such as temperature and pressure, a real-time on-site desorption prediction model for coal is established to simulate the methane release process from when the coal leaves the mine shaft until the start of the test, thereby predicting the amount of lost methane gas during this period.

[0050] Under normal pressure, a portion of the gas in coal remains adsorbed within the microporous structure of the coal body and is difficult to desorb. This portion is the amount of non-desorbable gas, which can be determined by fully desorbing the coal sample under standard atmospheric pressure until no more gas is released, or by taking values ​​based on empirical parameters. Subtracting the lost gas and non-desorbable gas from the total gas content of the coal, the difference is the actual amount of desorbable gas in the coal at the emission boundary.

[0051] In some embodiments, the prediction of gas loss between the coal leaving the wellhead and the start of the test includes: Based on coal particle size parameters, coal quality characteristic parameters, and environmental condition parameters, the gas release process of coal samples during the process of being hoisted from underground to the surface is simulated to predict the amount of gas loss. The environmental condition parameters include ambient temperature, ambient air pressure, and exposure time.

[0052] The prediction of gas loss is based on a simulation of the physical process of gas diffusion and release from the coal body to the surface during the coal hoisting process from underground to the surface. This simulation process uses coal particle size parameters, coal quality characteristic parameters, and environmental condition parameters as core input variables to construct a real-time on-site desorption prediction model for coal after mining.

[0053] Coal particle size determines the length of the diffusion path of methane within the coal body. Smaller particles require less time for methane to diffuse from the coal's center to the surface, resulting in a faster release rate. Coal quality characteristics include volatile matter content, moisture content, ash content, and pore structure. These parameters affect the adsorption capacity and diffusion coefficient of methane within the coal body. Volatile matter content is related to the degree of pore development in the coal body, while moisture content occupies some pore space, thus affecting the methane diffusion channels. Environmental conditions include ambient temperature, ambient pressure, and exposure time. Increased ambient temperature accelerates the thermal motion of methane molecules, increasing the desorption rate; decreased ambient pressure increases the partial pressure difference of methane inside and outside the coal body, promoting methane release; and exposure time determines the duration of the methane release process.

[0054] The three types of parameters mentioned above are input into the desorption prediction model to simulate the complete exposure process of coal from its departure from the mine shaft through hoisting, transportation, and other stages until the start of the test. The cumulative gas release during this period is calculated, which is the amount of gas lost. This prediction result will be used to correct the measured value of total gas content to obtain the true amount of desorbable gas in the coal at each emission boundary.

[0055] In some embodiments, the inversion to obtain the methane emission factors corresponding to each emission stage includes: Collect gas samples generated during the coal gas desorption process and determine the methane and oxygen concentrations in the desorbed gas. The measured methane concentration was corrected based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air to obtain the true methane release concentration parameters. Based on the difference in the actual amount of desorbable methane from coal at the boundary of adjacent emission spaces, and in conjunction with the methane release concentration parameter, the methane emission factor corresponding to each emission stage is obtained by inversion.

[0056] During the methane content testing at each emission boundary, gas samples generated during the coal gas desorption process were simultaneously collected. Gas chromatography was used to quantitatively determine the gas components, obtaining the methane and oxygen concentrations in the desorbed gas. During gas collection, residual air inevitably exists in the sampling device and pipelines, resulting in a certain proportion of air mixing into the collected gas samples, which dilutes the measured methane concentration and leads to a lower reading. To eliminate the influence of air contamination, the ratio of oxygen concentration in the desorbed gas to atmospheric oxygen concentration is used for correction. Specifically, using the known concentration of oxygen in the atmosphere as a reference, the proportion of air mixed in the gas sample is calculated based on the measured oxygen concentration, thereby estimating the degree of methane dilution by air. This corrects the measured methane concentration to the true methane release concentration parameter after eliminating air interference.

[0057] Based on the actual methane release concentration parameters and actual desorbable gas volume at each emission boundary, the difference in actual desorbable gas volume from coal at adjacent emission boundaries is calculated. This difference reflects the total amount of gas released by coal during the emission phase between the two boundaries. By combining this difference with the methane release concentration parameters, the proportional relationship between the actual methane release and the total coal volume during that emission phase can be determined, and the methane emission factor corresponding to that emission phase can be obtained through inversion. Following the same method, the emission factor can be calculated independently for each emission phase.

[0058] In some embodiments, the correction of the measured methane concentration includes: Calculate the air mixing ratio based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air; Based on the air mixing ratio, the dilution effect of the mixed air on the methane concentration is deducted to obtain the true methane release concentration parameter.

[0059] The process of correcting for measured methane concentration involves two steps. First, the air contamination ratio is calculated: the oxygen concentration in the air is approximately 20.95%, which serves as a reference. The measured oxygen concentration in the desorbed gas is divided by the known oxygen concentration in the air; the resulting ratio represents the volume percentage of air contamination in the gas sample. For example, if the measured oxygen concentration in the desorbed gas is 4.19%, then the air contamination ratio is 4.19% divided by 20.95%, which means approximately 20% air is contaminant.

[0060] After obtaining the air mixing ratio, the second step of correction is to subtract the dilution effect of the mixed air on the methane concentration. The measured methane concentration in the gas sample actually includes two sources: one is the actual methane released from coal gas desorption, and the other is the trace amount of methane carried by the mixed air itself, with a background methane concentration of approximately 1.8 ppm. Subtracting the background methane concentration contributed by the mixed air from the measured methane concentration, and then dividing by the proportion of pure desorbed gas in the sample, yields the true methane release concentration parameter after eliminating air interference. This parameter reflects the true methane concentration level in the coal gas desorption gas, providing a reliable concentration data basis for the accurate inversion of subsequent emission factors.

[0061] In some embodiments, calculating methane emissions for each emission stage by combining raw coal production data includes: Based on the methane emission factor and raw coal production data, the total methane emissions during the entire post-mining activities were calculated. Calculate the methane emissions during the production and processing stage based on the methane emission factor and raw coal production data. The methane emissions during the subsequent transportation and utilization stage are calculated based on the difference between the total methane emissions and the methane emissions during the production and processing stage, in order to characterize the methane emission responsibilities borne by different responsible entities.

[0062] The specific calculation process for methane emissions at each emission stage is as follows. First, the methane emission factor for the entire post-mining activity process is multiplied by the raw coal production data of the mine to calculate the total methane emissions for the entire post-mining activity process. This total represents the total amount of methane released during all post-mining activities from the time the coal leaves the mine until its final utilization. Second, the methane emission factor for the production and processing stage is multiplied by the same raw coal production data to calculate the methane emissions for the production and processing stage. This emission corresponds to the amount of methane released during the coal's production and processing stages within the mining area, including washing, storage, and on-site transportation. The responsibility for these emissions belongs to the coal production entity.

[0063] After obtaining the total methane emissions throughout the entire process and the methane emissions during the production and processing stages, the difference between the two is the methane emissions during the subsequent transportation and utilization stages. This difference reflects the amount of methane released during external transportation, transshipment, storage, and pre-utilization treatment of coal after it leaves the mining area, and the responsibility for its emission belongs to the entity responsible for subsequent transportation and utilization. Through the above calculation method, the methane emissions throughout the entire post-mining activity process are decomposed into emissions in two stages, each corresponding to a different entity responsible for emissions, thereby achieving a quantitative division and independent accounting of the methane emission responsibilities of each entity.

[0064] Corresponding to the aforementioned method for measuring methane emissions from post-coal mine activities, this invention also proposes a device for measuring methane emissions from post-coal mine activities. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments, and will not be repeated here.

[0065] Figure 2 This is a schematic diagram of the structure of a coal mine post-mine methane emission metering device provided in an embodiment of this disclosure, as shown below. Figure 2 As shown, it includes: Unit 21 is established to create a spatial boundary system for methane emissions from post-mine activities, dividing the coal transfer process after it is lifted from underground to the surface into different emission stages. The acquisition unit 22 is used to collect coal samples at the boundaries of each emission space to obtain particle size distribution parameters that characterize the overall coal particle size composition. Measurement unit 23 is used to measure the amount of gas that can be desorbed from coal samples at the boundary of each emission space, and to obtain the actual amount of desorbable gas from coal at the starting position of different emission stages. Inversion unit 24 is used to invert and obtain the methane emission factor corresponding to each emission stage based on the decay law of the actual desorbable gas amount of coal at different emission space boundaries. The calculation unit 25 is used to calculate the methane emissions at each emission stage by combining the raw coal production data.

[0066] Furthermore, in one possible implementation of this disclosure, the establishing unit 21 is further configured to: The entire post-mine activity process after coal leaves the mine is defined as the metering starting boundary, the production and processing stage before coal leaves the mining area is defined as the stage division boundary, and the transportation and utilization process after coal leaves the mining area is defined as the subsequent emission stage, forming a sequentially connected emission spatial boundary system to distinguish the methane emission responsibilities borne by different responsible entities.

[0067] Furthermore, in one possible implementation of this disclosure embodiment, the acquisition unit 22 is further configured to: Coal samples were collected at the boundaries of each emission space and screened step by step according to the preset particle size interval to obtain the mass percentage of coal in each particle size. The particle size parameters of coal of each size grade are obtained by using on-site testing methods or process parameter prediction methods. Based on the mass proportion and particle size parameters of coal in each particle size class, a particle size distribution function is used for fitting to obtain the characteristic parameters of coal particle size distribution across the entire scale, and then the characteristic particle size that can characterize the overall coal particle size composition is calculated.

[0068] Furthermore, in one possible implementation of this disclosure, the measuring unit 23 is further configured to: Coal samples with characteristic particle sizes were collected at each emission space boundary, and gas content was tested to obtain the total gas content of the coal. Based on the gas release pattern during the coal hoisting process, predict the amount of gas lost from when the coal leaves the wellhead until the start of the test. To obtain the amount of non-desorbable gas under normal pressure, the actual amount of desorbable gas at the boundary of coal at different emission spaces is calculated based on the total gas content of coal, the amount of gas lost, and the amount of non-desorbable gas.

[0069] Furthermore, in one possible implementation of this disclosure, the measuring unit 23 is further configured to: Based on coal particle size parameters, coal quality characteristic parameters, and environmental condition parameters, the gas release process of coal samples during the process of being hoisted from underground to the surface is simulated to predict the amount of gas loss. The environmental condition parameters include ambient temperature, ambient air pressure, and exposure time.

[0070] Furthermore, in one possible implementation of this disclosure, the inversion unit 24 is further configured to: Collect gas samples generated during the coal gas desorption process and determine the methane and oxygen concentrations in the desorbed gas. The measured methane concentration was corrected based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air to obtain the true methane release concentration parameters. Based on the difference in the actual amount of desorbable methane from coal at the boundary of adjacent emission spaces, and in conjunction with the methane release concentration parameter, the methane emission factor corresponding to each emission stage is obtained by inversion.

[0071] Furthermore, in one possible implementation of this disclosure, the inversion unit 24 is further configured to: Calculate the air mixing ratio based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air; Based on the air mixing ratio, the dilution effect of the mixed air on the methane concentration is deducted to obtain the true methane release concentration parameter.

[0072] Furthermore, in one possible implementation of this disclosure, the computing unit 25 is further configured to: Based on the methane emission factor and raw coal production data, the total methane emissions during the entire post-mining activities were calculated. Calculate the methane emissions during the production and processing stage based on the methane emission factor and raw coal production data. The methane emissions during the subsequent transportation and utilization stage are calculated based on the difference between the total methane emissions and the methane emissions during the production and processing stage, in order to characterize the methane emission responsibilities borne by different responsible entities.

[0073] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0074] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0075] Figure 3 A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0076] like Figure 3 As shown, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. RAM 403 may also store various programs and data required for the operation of device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0077] Multiple components in device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0078] The computing unit 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as the method for metering methane emissions from coal mine post-operation activities. For example, in some embodiments, the method for metering methane emissions from coal mine post-operation activities can be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program can be loaded and / or installed on device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the methods described above can be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the aforementioned coal mine post-activity methane emission metering method by any other suitable means (e.g., by means of firmware).

[0079] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0080] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0081] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0082] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the 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 sound input, voice input, or tactile input).

[0083] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0084] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0085] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0086] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0087] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for measuring methane emissions from post-coal mine activities, characterized in that, include: Establish a spatial boundary system for methane emissions from post-mining activities, dividing the coal transfer process after it is lifted from underground to the surface into different emission stages; Coal samples were collected at the boundaries of each emission space to obtain particle size distribution parameters that characterize the overall coal particle size composition. The amount of desorbable methane in coal samples at the boundary of each emission space was measured to obtain the actual amount of desorbable methane in coal at the starting position of different emission stages. Based on the decay law of the actual desorbable gas amount of coal at different emission space boundaries, the methane emission factor corresponding to each emission stage is obtained by inversion. Based on raw coal production data, methane emissions were calculated for each emission stage.

2. The method according to claim 1, characterized in that, The establishment of the spatial boundary system for methane emissions from post-mining activities includes: The entire post-mine activity process after coal leaves the mine is defined as the metering starting boundary, the production and processing stage before coal leaves the mining area is defined as the stage division boundary, and the transportation and utilization process after coal leaves the mining area is defined as the subsequent emission stage, forming a sequentially connected emission spatial boundary system to distinguish the methane emission responsibilities borne by different responsible entities.

3. The method according to claim 1, characterized in that, The particle size distribution parameters used to obtain the overall coal particle size composition characteristics include: Coal samples were collected at the boundaries of each emission space and screened step by step according to the preset particle size interval to obtain the mass percentage of coal in each particle size. The particle size parameters of coal of each size grade are obtained by using on-site testing methods or process parameter prediction methods. Based on the mass proportion and particle size parameters of coal in each particle size class, a particle size distribution function is used for fitting to obtain the characteristic parameters of coal particle size distribution across the entire scale, and then the characteristic particle size that can characterize the overall coal particle size composition is calculated.

4. The method according to claim 1, characterized in that, The determination of the gas desorption capacity of coal samples at the boundaries of each emission space includes: Coal samples with characteristic particle sizes were collected at each emission space boundary, and gas content was tested to obtain the total gas content of the coal. Based on the gas release pattern during the coal hoisting process, predict the amount of gas lost from when the coal leaves the wellhead until the start of the test. To obtain the amount of non-desorbable gas under normal pressure, the actual amount of desorbable gas at the boundary of coal at different emission spaces is calculated based on the total gas content of coal, the amount of gas lost, and the amount of non-desorbable gas.

5. The method according to claim 4, characterized in that, The predicted gas loss from coal leaving the wellhead to the start of the test includes: Based on coal particle size parameters, coal quality characteristic parameters, and environmental condition parameters, the gas release process of coal samples during the process of being hoisted from underground to the surface is simulated to predict the amount of gas loss. The environmental condition parameters include ambient temperature, ambient air pressure, and exposure time.

6. The method according to claim 1, characterized in that, The inversion yields methane emission factors corresponding to each emission stage, including: Collect gas samples generated during the coal gas desorption process and determine the methane and oxygen concentrations in the desorbed gas. The measured methane concentration was corrected based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air to obtain the true methane release concentration parameters. Based on the difference in the actual amount of desorbable methane from coal at the boundary of adjacent emission spaces, and in conjunction with the methane release concentration parameter, the methane emission factor corresponding to each emission stage is obtained by inversion.

7. The method according to claim 6, characterized in that, The correction of the measured methane concentration includes: Calculate the air mixing ratio based on the ratio of oxygen concentration in the desorbed gas to oxygen concentration in the air; Based on the air mixing ratio, the dilution effect of the mixed air on the methane concentration is deducted to obtain the true methane release concentration parameter.

8. The method according to claim 1, characterized in that, The calculation of methane emissions at each emission stage, based on raw coal production data, includes: Based on the methane emission factor and raw coal production data, the total methane emissions during the entire post-mining activities were calculated. Calculate the methane emissions during the production and processing stage based on the methane emission factor and raw coal production data. The methane emissions during the subsequent transportation and utilization stage are calculated based on the difference between the total methane emissions and the methane emissions during the production and processing stage, in order to characterize the methane emission responsibilities borne by different responsible entities.

9. A methane emission metering device for post-coal mine activities, characterized in that, include: Establish a unit to establish a spatial boundary system for methane emissions from post-mine activities, dividing the coal transfer process after it is lifted from underground to the surface into different emission stages; The acquisition unit is used to collect coal samples at the boundaries of each emission space to obtain particle size distribution parameters that characterize the overall coal particle size composition. The measurement unit is used to measure the amount of gas that can be desorbed from coal samples at the boundary of each emission space, so as to obtain the actual amount of desorbable gas from coal at the starting position of different emission stages. The inversion unit is used to invert the methane emission factor corresponding to each emission stage based on the decay law of the actual desorbable methane amount of coal at different emission space boundaries. The calculation unit is used to calculate the methane emissions at each emission stage by combining raw coal production data.

10. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.

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