244 results about "Methane emissions" patented technology

Provided herein, inter alia, are ruminant feed or feed additive compositions, and methods of using these feed or feed additive compositions to reduce methane emissions in ruminants while improving animal performance, these feed or feed additive compositions comprise one or more compounds that increase hydrogen production in ruminants, such as, but not limited to, 3-nitroxypropanol (3NOP) and one or more acetogens.

The invention provides a satellite methane emission sub-pixel unmixing and tracing method, and belongs to the technical field of environment monitoring. Comprising the following steps: S1, tower footing methane flux observation micrometeorological attribution analysis; s2, carrying out ground movement observation on emission hot spots; s3, building a satellite sub-pixel scale methane emission model under the support of tower footing and ground mobile observation data; and S4, sub-pixel unmixing and regional tracing: in the known observation regions in the steps S1 to S3, combining the methane emission flux of the TROPOMI with the methane emission under the scale of the TROPOMI pixel in the step S3 to form a function, and resolving the function equation to obtain sub-pixel unmixing model parameters, and applying the sub-pixel unmixing model parameters to TROPOMI satellite pixels without ground observation to obtain a larger-range methane emission tracing distribution map. According to the method, the dependence on a prior hypothesis is reduced, the stability and reliability of a de-mixing result are improved, the source region identification capability is enhanced, attribution decomposition of different emission sources is realized, and the space-time precision of emission estimation is improved.

The invention discloses a mining area methane emission inversion method based on satellite observation and a Gaussian plume model. The method comprises the following steps: S1, acquiring a satellite inversion XCH4 data set, meteorological data, emission list data and global energy monitoring data; s2, determining a methane emission source and a research area in a geographic map by using the emission list data and the global energy monitoring data; s3, obtaining methane background concentration and XCH4 enhancement in the geographic map by using an atmospheric background concentration calculation method; s4, combining XCH4 enhanced spatial distribution and meteorological data in a geographic map to identify a methane enhanced plume of a methane emission source in the research area; and S5, performing Gaussian plume flow field simulation inversion of the methane emission source through the Gaussian plume model, and outputting the methane emission rate of the methane emission source at the current time through inversion of the Gaussian plume model. According to the method, the methane emission and the time sequence data of the methane emission can be obtained through accurate inversion, the frequency of obtaining the methane emission is improved, and the methane emission can be obtained according to time scale accumulation.

Systems, devices, and methods including: an air inlet configured to receive air; an air outlet configured to expel air; a duct connected between the air inlet and the air outlet; and an open-cavity optical sensor disposed in the duct, where an air flow stream within the duct passes through the open-cavity optical sensor.

The invention discloses an intelligent mine gas monitoring system and a gas safety risk identification and evaluation method. The system adopts a three-layer framework; the sensing layer is integrated with fixed monitoring equipment, mobile inspection equipment and methane emission detection equipment, and global data acquisition is realized through a multi-parameter sensor, an accurate positioning module and a gas emission calculation model; the transmission layer realizes underground data transmission through a wired-wireless hybrid network; and the application layer performs data fusion based on a digital twin mine model, and provides intelligent analysis, visual display and report generation functions. The risk assessment method comprises the following steps: collecting multi-source data in real time and carrying out space-time alignment and Kriging interpolation fusion; dynamically extracting four types of risk factors; identifying an abnormal aggregation area, and associating an equipment state traceability risk; and calculating a risk value through a weighting model, dividing four levels of risks, and triggering a grading response. According to the invention, gas risk dynamic identification, accurate traceability and automatic closed-loop control are realized, and the mine gas safety prevention and control capability is improved.

According to the open pit coal mine methane emission monitoring equipment, the pretreatment device, the sampling air pump and the CH4 analyzer are arranged through the mounting column, and the stability of the mounting column is ensured through the base of the triangular structure support. The pretreatment device is a three-stage progressive filtering unit, dust and steam in the open pit coal mine gas can be removed, and the obtained sample gas can be cleaner and drier and is appropriate in temperature. By utilizing suction force generated by the sampling air pump, air enters an optical cavity of the CH4 analyzer after being treated by the pretreatment device. The CH4 analyzer further comprises a laser and a CH4 optical analysis module, the laser emits a laser beam with a specific wavelength to the optical cavity, and multiple reflections are formed in the optical cavity, so that the effective optical path of the laser beam reaches a preset range; the CH4 optical analysis module measures the concentration of methane in the sample gas by detecting the light intensity change of the laser beam after the laser beam passes through the optical cavity containing the sample gas. According to the scheme, the methane emission condition of the open pit coal mine can be accurately monitored.

The invention discloses a point source methane emission wave band sensitivity enhancement signal identification method and system. The method aims at accurately identifying methane emission plume observed by a satellite. The identification method comprises the following key steps: data acquisition and preprocessing, refined construction of a methane unit absorption spectrum, sensitive wave band screening, and integration of a methane enhanced signal identification algorithm. The method solves the problems of suppressing false positive and enhancing methane signal detection, reduces the error of a methane concentration inversion result, improves the accuracy and reliability of methane identification by optimizing band selection and integrating an inversion algorithm especially in the aspect of point source methane emission plume identification, and has a good application prospect in the field of point source methane emission plume identification. And high-reliability data support is provided for refined methane emission identification and control.

The invention discloses a methane emission flux analysis method, device and equipment and a storage medium, and belongs to the technical field of atmosphere remote sensing monitoring, and the method comprises the following steps: obtaining methane vertical spectrum data and auxiliary observation data under a target area; based on the methane vertical spectrum data and the auxiliary observation data, separately calculating a source methane concentration field in a target height range; performing spatial-temporal characteristic analysis on the source methane concentration field to obtain a plurality of groups of spatial-temporal orthogonal characteristics, the spatial-temporal orthogonal characteristics being used for representing methane column concentration background change characteristics in a target area and dynamic difference of methane column concentration on a transmission path; and performing energy emission source analysis on the multiple groups of space-time orthogonal characteristics to obtain methane emission intensity distribution of the target area. According to the method, the analysis of the methane concentration can be realized through the statistical relationship, and the accurate analysis of the methane emission flux and the emission attribution can be realized.

The invention discloses a coal mine methane emission estimation method based on backward Lagrange random particle simulation. The method comprises the following steps: S1, acquiring satellite methane concentration monitoring data, meteorological data, EDGAR emission list data and GFEI global fuel development emission list data of a research area; s2, selecting a pixel as an observation point, obtaining an influence factor of methane emission of a virtual emission point pixel on the methane concentration of the observation point pixel through a backward Lagrangian random particle simulation model by utilizing meteorological data to reversely track the motion trail of particles, and constructing a source receptor matrix according to the influence factor; s3, the Bayesian methane emission estimation model carries out observation and prior constraint based on the objective function to obtain posterior emission data of the research area. According to the method, the source receptor matrix is constructed by using the motion trail of the meteorological data reverse tracking particles, and the Bayesian methane emission estimation model performs observation and prior constraint based on the target function to obtain posterior emission data of the research area, so that high-precision methane emission inversion estimation of the coal mine in the research area is realized.

Suppressing methane gas emissions from paddy rice cultivation is extremely important as a measure against global warming. The challenge here is to achieve both improved rice productivity and environmental protection. Specifically, this involves developing a device that can generate large quantities of high-concentration ultrafine bubble (UFB) water in a short time, by adding methane gas emission suppression to the UFB water. [Solution] The UFB generating apparatus of the present invention incorporates a variable-speed rotary stirring device into a UFB generation tank, and this tank is filled with sandy material. By supplying gas and water to this tank at high pressure, the sandy material layer of gas, water, and sandy material is liquefied. By rapidly rotating this liquefied layer with the rotary stirring device, the gas is confined in the pore water of the liquefied layer and then finely fragmented. Furthermore, by using sandy steel slag as the sandy material, in addition to the UFB effect, methane generation due to silica, lime, and iron oxide is suppressed and crop yields are improved.

Presented herein is a facility design for oil production with zero methane emissions. The facility is flexible to allow variable flow rate requirements through the production cycle of the facility. Equipment is modular and easily movable, which reduces upfront construction cost, time to production revenue, the need for steel on facility, and other long-term material resource requirements. The design reduces emission of greenhouse gases, environmental impacts and landowner lease requirements.

The invention discloses a landfill methane long-term monitoring static box device and method, and relates to the technical field of landfill methane emission monitoring. The device comprises a box body with an opening in the bottom, a gas conveying unit, a gas mixing unit, a one-way low-pressure relief valve, a detection module, a power supply unit and a control system. The method comprises a deployment stage, an initialization stage and a monitoring stage, and the methane emission rate can be calculated by automatically injecting air, mixing gas and collecting and transmitting data. According to the device and the method, automatic and long-term continuous monitoring is realized, multi-dimensional parameters are synchronously acquired, the monitoring efficiency and the data continuity are improved, the problems that a traditional static box depends on manpower, the data dimension is single and the like are solved, and data support is provided for an emission reduction strategy.

The present invention describes a system and control method for rumen in-vitro fermentation, said system comprising: -a bionic rumen with a drive module for controlling its movement; -a bionic reticulum with an external extrusion mechanism for regulating its motion; -a connecting structure linking the bionic rumen and bionic reticulum; -a control method that coordinates the movements of the rumen and reticulum to regulate the fermentation process. The bionic rumen and bionic reticulum are interconnected, enabling simultaneous biomimetic digestion and fermentation. By employing soft robotic actuator, the system effectively simulates the kneading and relaxation of the rumen, closely replicating natural digestive mechanics and fermentation kinetics. A real-time monitoring system has been integrated, allowing for online measurement of key parameters such as gas production and composition, thereby enabling more precise analysis of degradation kinetics. This invention provides an advanced research tool platform for ruminant nutrition, enabling improved digestion modeling accuracy. It also delivers significant environmental and economic benefits, including reduced methane emissions and enhanced feed utilization, thereby promoting sustainable livestock production.

The invention provides a methane point source emission unmanned aerial vehicle observation inversion method based on large eddy simulation and machine learning. The method comprises the following steps: setting emission source environmental parameters in a large eddy simulation process, carrying out multiple emission analogue simulation, generating emission and unmanned aerial vehicle sampling data, further obtaining a localized methane emission optimization transfer function through machine learning training, and calculating a mass conservation algorithm by utilizing methane two-dimensional concentration distribution which is reconstructed after actual optimization in combination with the mass conservation algorithm. And obtaining an actual methane emission estimation result. According to the scheme, the difference of the point source emission estimation result caused by the atmospheric turbulence information in the low-altitude environment and different flight arrangement level strategies of the unmanned aerial vehicle is fully considered, and the accuracy of the sampling data of the unmanned aerial vehicle and the accuracy of the inversion result are improved.

The invention provides an intelligent optimization method for carbon emission reduction of an ecological pasture in extreme weather, and relates to the technical field of intelligent optimization of carbon emission reduction. Comprising the steps that initial monitoring data are collected and preprocessed, and multi-dimensional feature vector output state features are constructed; an LSTM time sequence prediction model is used for analyzing the state of the dairy cow and the activity of methanogens in the rumen, DHI data of an integrated gradient boosting tree model is used for analyzing the amino acid balance and precise nutrition technology of the lactating dairy cow, a dairy cow manure yield prediction model based on a Bayesian network is constructed, a manure management strategy is dynamically optimized, and manure management effect data is output. And constructing a carbon emission reduction comprehensive evaluation model, and evaluating the pasture carbon emission reduction effect. According to the invention, the rumen flora structure is regulated and controlled, the rumen greenhouse gas emission is controlled, the ruminant feed protein level is reduced, and the methane emission is reduced by researching the dairy cow carbon emission rumen microorganism regulation and control technology.

The invention provides a farmland net carbon emission prediction method, a farmland net carbon emission prediction system and a farmland net carbon emission prediction device. The farmland net carbon emission prediction method comprises the following steps: acquiring crop related data, nitrous oxide emission measured data, methane emission measured data and carbon sequestration efficiency measured data of different crops in different planting areas; constructing a nitrous oxide emission prediction model according to the crop related data and nitrous oxide emission measured data; constructing a methane emission prediction model according to the crop related data and the methane emission measured data; constructing a carbon sequestration efficiency prediction model according to the crop related data and the carbon sequestration efficiency measured data; calculating a methane emission predicted value, a nitrous oxide emission predicted value and a carbon sequestration efficiency predicted value; and calculating a net carbon emission predicted value according to the nitrous oxide emission predicted value, the methane emission predicted value, the carbon sequestration efficiency predicted value and a preset net carbon emission model. According to the invention, high-precision and regionalized prediction and evaluation of farmland net carbon emission can be realized.

The invention provides an oil gas methane emission factor estimation method and device based on three-dimensional monitoring, and the method comprises the steps: determining a methane emission source and a diffusion region around the methane emission source based on a satellite remote sensing technology; acquiring unmanned aerial vehicle monitoring result data on a pre-planned monitoring route by using an unmanned aerial vehicle monitoring system; acquiring underway monitoring result data on a pre-planned monitoring route by using an underway monitoring system; monitoring all-weather foundation remote sensing monitoring data of a target emission source through a monitoring point by using a foundation remote sensing monitoring system; an emission accounting model is constructed, and the oil gas methane emission amount is calculated; based on the calculated oil gas methane emission amount, the oil gas activity level is combined, and the oil gas methane emission factor is calculated. The problems that emission factor data acquired by a single monitoring method is incomplete, the accuracy is low, and the updating timeliness is insufficient are solved.

The invention provides an equipment sealing assembly methane dissipation leakage monitoring and verification system and method, electronic equipment and a storage medium. Relates to the technical field of greenhouse gas methane leakage monitoring and emission accounting, and comprises a monitoring system and a verification system, the monitoring system is used for monitoring the real methane dissipation leakage amount of a sealing assembly and can be connected with the verification system through a pipeline, and the verification system is used for simulating the methane dissipation leakage process of the sealing assembly. And the accuracy of the monitoring value of the monitoring system is verified. According to the technical scheme, the problems that in the prior art, the methane leakage emission amount cannot be accurately monitored and checked, and the accuracy of the monitoring and checking result cannot be verified are solved.

The invention provides a method and system for quantitatively analyzing a coal mine methane emission reduction treatment policy, and relates to the technical field of data mining and informatization planning, and the method comprises the steps: obtaining text data of the coal mine methane emission reduction treatment policy; calling a large language model to analyze the policy text data, and extracting structured policy element evaluation in the policy text data to generate corresponding quantitative evaluation information; the quantitative evaluation information and the multi-source monitoring data of the coal mine methane are subjected to space-time alignment matching, a policy-monitoring associated data set is generated, and the policy-monitoring associated data set is used for driving or verifying a quantitative evaluation technical model of coal mine methane emission. By applying the scheme, quantitative analysis of the coal mine methane emission reduction governance policy can be objectively and efficiently realized, and accurate mapping and dynamic association between policy semantic information and objective monitoring data are realized.

The invention relates to a ruminant methane emission measuring system and method based on a milking robot, and the ruminant methane emission measuring system comprises a gas collection device which is arranged in a feeding trough area of the milking robot and is used for collecting sample gas in real time during the feeding period of ruminants, and the sample gas comprises animal exhaled gas; the gas analysis unit is connected with the gas collection device and is used for synchronously analyzing the concentration of methane and the concentration of carbon dioxide in the sample gas; and the data recording and processing unit is in communication connection with the gas analysis unit and is used for recording gas concentration data and detection time and calculating the daily methane emission amount based on the concentration data and the physiological parameters of the ruminant. According to the method, the milking window of the milking robot is used for measuring the methane emission amount of the dairy cow at the individual level for the first time, the balance of individual measurement record numbers is guaranteed, and automatic, high-throughput, large-scale and continuous monitoring is achieved.

The dual-fuel engine piston capable of reducing methane emission comprises a piston body, a concave pit is formed in the top face of the piston body to serve as a combustion chamber, the top face of the piston body is connected with the side face of the piston body through a flow guide face, and the combustion chamber is communicated with the flow guide face through a plurality of vortex grooves. A set included angle is formed between the vortex groove and the tangent line of the outer circumference of the combustion chamber; according to the utility model, the flow guide surface is arranged between the piston top surface and the piston side surface, so that natural gas in the backlash can be guided into the combustion chamber for combustion, and methane emission is further reduced. A vortex groove is formed in the top face of the piston, natural gas in a side gap passes through a flow guide face to a motion chamber in a combustion chamber and inevitably passes through the vortex groove, airflow is guided by the vortex groove to form a certain vortex in a cylinder, later-stage combustion is accelerated, combustion is more sufficient, and methane emission is further reduced.

A waste management method includes setting an allowable methane amount in a bin and an allowable waste amount in the bin. The method includes measuring a methane amount in the bin, a waste amount in the bin, a temperature in the bin and a humidity in the bin, transmitting the methane amount, the temperature and the humidity to a first network and transmitting the the waste amount, and the timestamp to a second network. The method includes generating a first time estimate with the first network and generating a second time estimate with the second network to determine whether the waste amount exceeds a predetermined allowable waste amount. The method includes generating a schedule and a route for a waste vehicle based on the first and second time estimates, a number of waste vehicles available, and methane emissions by the waste vehicles.

The invention discloses a pharmaceutical composition for reducing methane emission of ruminants and improving feed digestibility and a preparation method of the pharmaceutical composition, and belongs to the technical field of feed additives. Comprising the following components in parts by weight: 35-45 parts of malt, 30-40 parts of mangnolia officinalis and 25-35 parts of rhizoma atractylodis. During preparation, the malt, the mangnolia officinalis and the rhizoma atractylodis are respectively crushed and sieved, and then the crushed malt, the crushed mangnolia officinalis and the crushed rhizoma atractylodis are fully mixed to obtain the pharmaceutical composition. On one hand, the antibacterial characteristics of the cortex magnoliae officinalis and the rhizoma atractylodis can remodel gastrointestinal tract microflora, the activity of microorganisms closely related to methane generation such as methanogens is accurately inhibited, and methane emission is reduced from the source; and on the other hand, digestive enzymes of malt directly act on feed nutrition decomposition, and magnolia officinalis and rhizoma atractylodis jointly construct an efficient digestion system by maintaining intestinal health and optimizing a digestion environment, so that the feed digestibility is remarkably improved, and growth, development and production performance improvement of ruminants are promoted.

The application discloses an online liquid methane preparation full-subcooling filling process, which comprises a liquid methane storage device, a pressurizing pipeline, a liquid methane subcooling filling device, a filling pipeline, a liquid methane discharge device and a discharge pipeline. The output end of the liquid methane storage device is connected with the input end of the pressurizing pipeline, the output end of the pressurizing pipeline is connected with the input end of the filling pipeline, and the filling pipeline is connected with a first filling branch and a second filling branch after passing through the liquid methane subcooling filling device. The first filling branch is used for being connected with a liquid methane storage tank on an arrow, and the second filling branch is used for being connected with the input end of the discharge pipeline. The output end of the discharge pipeline is connected with the liquid methane discharge device, and a discharge pipeline adjusting valve and a flow measuring instrument are arranged on the discharge pipeline. The system can guarantee stable liquid methane flow, avoid the risk of crystallization of subcooling liquid methane due to too low temperature, and realize full-subcooling filling of liquid methane.

The invention belongs to the field of animal feeding, and particularly relates to application of bacillus megatherium in preparation of fermented feed for reducing methane emission of mutton sheep, the bacillus megatherium is preserved in the China General Microbiological Culture Collection Center on December 6, 2004, and the preservation number is GMCCNo.1259. The invention also provides a fermented feed for reducing methane emission of mutton sheep, the degradation rate of straw rumen dry matter and crude protein can be remarkably increased, the ammonia nitrogen content in the feed is remarkably reduced, and the lactic acid bacteria content is remarkably increased.

The application discloses a method for promoting the absorption of methane in sheep grassland, and belongs to the field of environmental protection.The method is achieved by the following steps: applying nitrogen fertilizer to artificial sheep grassland in the growing season (June-September) to promote the absorption of methane in the grassland, so as to achieve the purpose of methane emission reduction.The nitrogen fertilizer added in the method is ammonium nitrate, the adding frequency is once a month, and the total dose is 100 kg N / hm 2 . Through the method, the total absorption amount of methane in the grassland in the growing season and the next spring freeze-thaw period is increased by more than 140% compared with the natural condition. The method is simple to operate and low in cost, and is helpful to the realization of the low-carbon target in the management process of artificial sheep grassland. In particular, in the next spring freeze-thaw period, the average value of the nitrogen application group is 7.1 mg m ‑2 , the average value of the nitrogen-free group is-5.0 mg m ‑2 , and the nitrogen application treatment increases the cumulative absorption amount of CH4 in the grassland soil in the spring freeze-thaw period by 240.4%.

A waste management method includes setting an allowable methane amount in a bin and an allowable waste amount in the bin. The method includes measuring a methane amount in the bin, a waste amount in the bin, a temperature in the bin and a humidity in the bin, transmitting the methane amount, the temperature and the humidity to a first network and transmitting the waste amount, and the timestamp to a second network. The method includes generating a first time estimate with the first network and generating a second time estimate with the second network to determine whether the waste amount exceeds a predetermined allowable waste amount. The method includes generating a schedule and a route for a waste vehicle based on the first and second time estimates, a number of waste vehicles available, and methane emissions by the waste vehicles.

Systems and methods for quantified water intake estimation and closed loop management of ruminants are disclosed. An ingestible reticular bolus transmits temperature data. A water source sensor measures water temperature and an ambient module provides THI. A processor detects drinking events from temperature slopes and amplitudes, applies a non-linear heat exchange model parameterized by measured water and ambient conditions to estimate per event volume, and accumulates daily intake. Control signals are generated to cooling, water, or feeding actuators according to hydration status and THI. Optional fusion with bolus accelerometry and near muzzle gas sensing estimates methane emissions per animal. The system integrates feed sensors and reproduction analytics, supports portable gateways for pasture, and provides traceability.

The application discloses a coal underground mining carbon emission calculation method, device, equipment, medium and product, relates to the field of carbon emission, and the method comprises the following steps: obtaining the original gas content, residual gas content and residual gas content of a target coal seam through a sensor; in the case of setting a coal pillar and not setting a coal pillar, respectively obtaining the total volume of methane emission according to the original gas content, residual gas content and residual gas content of the target coal seam, and obtaining the carbon emission intensity under different methane emission modes in the case of setting a coal pillar and not setting a coal pillar according to the methane emission mode and the total volume of methane emission. The application can improve the accuracy of carbon emission results.

The objective of the present invention is to provide, for example, a feed enabling effective suppression of methane emission by ruminants.　The present invention relates to, for example, a feed for ruminants, which is obtained by combining a methane emission inhibitor and a lumen-protected amino acid.