47results about How to "Accurate emissions" patented technology

The invention relates to the technical field of carbon emission monitoring, in particular to a carbon emission real-time monitoring method and system. The method comprises the following steps: acquiring a carbon emission data value of each process at each moment in an industrial park in real time; acquiring a plurality of clusters of each process by using an iterative self-organizing clustering algorithm; obtaining a multi-dimensional cluster according to the intersection condition of each moment; calculating the attribution degree of each moment in the target multi-dimensional clustering cluster, wherein the moment is not in the multi-dimensional clustering cluster; according to the affiliation degree, dividing an affiliation multi-dimensional clustering cluster; calculating the abnormal degree of each multi-dimensional cluster; calculating an abnormal value at each moment; and according to the abnormal value, determining a carbon emission condition so as to realize real-time monitoring of carbon emission. According to the method, the problem of inaccurate result caused by direct clustering of a traditional iterative self-organizing clustering algorithm is effectively avoided, the accuracy of carbon emission monitoring is greatly improved, and accurate and real-time monitoring of carbon emission of the industrial park is realized.

The invention discloses a power industry carbon emission prediction method and system based on an XGBoost algorithm, and belongs to the technical field of carbon emission prediction. The method comprises the following steps: acquiring current data related to carbon emission in the power industry; inputting the current data related to the carbon emission in the power industry into a prediction model, and solving the prediction model to predict the carbon emission of the power industry in a future time period; training samples of the prediction model are a training set and a test set which are generated on the basis of historical data related to carbon emission in the power industry. The XGBoost algorithm is adopted to construct the model for prediction, and the predicted carbon emission is more accurate.

The invention provides a target aircraft carbon emission determination system, and relates to the technical field of aircraft carbon emission determination. The method comprises the steps that the flight duration T of a target aircraft on a target flight path, the take-off weight of the target aircraft and the flight height and the flight speed of the target aircraft in the level flight stage on the target flight path are acquired, and the flight duration T of the target aircraft on the target flight path is calculated according to the model of the target aircraft; determining a carbon emission calculation weight corresponding to the target aircraft from a preset carbon emission calculation weight mapping table so as to determine the carbon emissions of the climbing stage, the level flight stage and the landing stage, and further obtaining the corresponding carbon emission of the target aircraft flying on the target flight path; according to the invention, the determined carbon emission corresponding to the flight of the target aircraft on the target flight path is more accurate.

The invention discloses a micro-grid energy supply end carbon emission prediction method and system based on time sequence data, and the method comprises the steps: extracting a feature subsequence strongly related to the carbon emission change for multi-dimensional original time sequence data in the operation process of a micro-grid energy supply end, so as to generate a related feature set; inputting the associated feature set into a mixed attention network to generate a current weighted feature representation; according to the historical weighted feature representation, a carbon emission simulation data enhancement technology of generation-discrimination collaborative learning is utilized to obtain a historical enhanced carbon emission data set with stable distribution; and training a dual-weighted multi-target prediction model based on the historical enhanced carbon emission data set, performing prediction in combination with a combined gating cycle unit and a dynamic uncertainty quantization technology, and outputting multi-target prediction results of the carbon emission of the energy supply end of the micro-grid on different time scales. According to the embodiment of the invention, the method can achieve the accurate prediction of the carbon emission, and is higher in precision and flexibility.

The invention provides a high-precision building construction carbon emission real-time metering method and system, and belongs to the field of carbon emission calculation. The invention aims to solve the problem that during carbon emission calculation in building construction, a calculation boundary needs to be determined, repeated calculation or missing lacks are easy to occur, and large access exists between a metering result and actual carbon emission. The construction activity consumption data is collected through an automatic data collection means and uploaded to the system platform through the Internet of Things, and finally the carbon emission data of each subentry construction activity is calculated in real time and analyzed and displayed. According to the method, carbon emission calculation is considered as a whole, the carbon emission of the whole project is explored from overall resource input and output, detailed analysis of internal process links is avoided, the problem of determining the internal boundary of the project for multiple times and the influence of construction uncertainty are avoided, and the construction efficiency is improved. And moreover, the calculation boundary is clear, the calculation process is simple, the calculation result precision is very high, and the method has relatively high operability and popularization value.

An intelligent control method, equipment and medium based on a flue gas desulfurization process belong to the technical field of dry and semi-dry desulfurization, solve the problem of how to improve the working condition adaptability of dry and semi-dry desulfurization processes, and comprise the following steps: a feedforward prediction step: based on historical operation data, predicting the theoretical addition amount of a desulfurizer through a feedforward prediction model; a feedback correction step: dynamically correcting the theoretical addition amount of the desulfurizing agent based on the real-time SO2 concentration deviation, obtaining the final addition amount of the final desulfurizing agent, executing the final addition amount, and performing secondary correction according to the execution result; a model iteration step: continuously optimizing the feedforward prediction model based on incremental data generated in a system operation process; according to the method, the deviation mode is analyzed by verifying the outlet SO2 concentration data in real time, secondary correction is executed, correction strategies are customized for various complex working conditions, the working condition adaptability of dry-method and semi-dry-method desulfurization processes is effectively improved, and accurate prediction and real-time control of the SO2 emission concentration are guaranteed.

The invention discloses an electric power system carbon flow tracking method based on a carbon emission flow theory, and belongs to the technical field of electric power system carbon emission monitoring, and the method comprises the steps: 1, obtaining a carbon emission factor of a region and electric power operation data information of each branch of an electric power system; step 2, performing comprehensive analysis according to the acquired information to obtain a carbon emission value of each branch of the power system, and combining the carbon emission value with power flow analysis of the power system to establish a carbon flow model of the power system; 3, judging whether the carbon emission of each branch in the power system is abnormal or not according to the distribution condition of the carbon emission values in the carbon flow model; and 4, according to the carbon emission condition of each branch, carrying out efficiency evaluation on the carbon emission treatment of the region. According to the method, comprehensive analysis is carried out according to the carbon emission factors in the region and the power operation data information of each branch of the power system, and influence factors such as temperature change and resistance change when each branch works are considered in a calculation standard, so that the obtained carbon emission is more accurate.

The invention provides a carbon emission prediction method and system based on LSTM and self-attention, and a prediction model training method comprises the steps: obtaining a training sample set, inputting training samples into an initial carbon emission prediction model which comprises a long-short term memory layer, a self-attention layer and a linear layer. And extracting and outputting effective key information corresponding to each influence factor by using the long-short term memory layer, inputting the effective key information corresponding to each influence factor into the self-attention layer, and outputting association information between each influence factor and other influence factors except for the influence factor. And integrating the associated information corresponding to each influence factor, inputting the integrated information into a linear layer, and outputting a carbon emission prediction result. And constructing a loss function based on the difference between the prediction result and the real label, minimizing the loss to update the model parameters until a preset training round number is reached, and obtaining a trained carbon emission prediction model. According to the method, multiple factors are comprehensively considered, the long-term dependency relationship of the data sequence is captured, and more accurate carbon emission prediction is realized.

The invention provides an electricity utilization carbon emission metering method and system based on carbon emission trend and green electricity transaction. A regional power grid is used as a calculation object, according to the levels of power generation, power transmission and power distribution, conduction of carbon emission factors is refined, comprehensive metering of a carbon emission source in a power system is achieved, a carbon emission calculation result can be updated in real time in the process that power is transmitted to a user side from a power generation side, and metering accuracy is ensured; in addition, the method particularly pays attention to the influence of green power transaction on user side carbon emission, and counteracts the power utilization carbon emission by distinguishing whether the user purchases green power or owns a renewable energy power generation facility or not. Furthermore, for users who have self-provided power generation facilities and have electric quantity on-line access, the influence of green power on-line access on regional carbon emission factors is further considered, and the total carbon emission amount of the users is accurately calculated, so that accurate accounting of the carbon emission factors and accurate metering of the total carbon emission amount of the users are realized.

The invention discloses a highly integrated synchronous simulation multi-pollution source smog chamber system and a working method. Comprising a smog chamber, an outer box body, a zero gas generator, a solvent release unit, a biomass combustion furnace, a coal combustion furnace, an automobile exhaust emission collection unit, a temperature regulation and control unit, a humidity regulation and control unit, a plant emission collection unit, a multispectral light source and an industrial personal computer, the smog chamber is a square transparent box body, and the multispectral light source is located outside the smog chamber. The solvent release unit comprises a vacuum storage tank and a solvent beaker; and the vacuum storage tank, the biomass combustion furnace, the coal combustion furnace, the automobile exhaust emission and collection unit and the plant emission and collection unit are also respectively connected with the smog chamber through pipelines. The temperature regulation and control unit comprises a refrigerating unit and an electric heating pipe, and the humidity regulation and control unit, the electric heating pipe and an evaporator of the refrigerating unit are all arranged in the smog chamber. According to the invention, by integrating emission of various pollution sources, the real illumination condition of the environment is accurately simulated, and comprehensive simulation research on variable factors in the atmospheric environment is realized.

The invention provides a method for estimating the greenhouse gas emission amount of a farmland under biological mulching film coverage, and belongs to the field of intelligent agricultural management, and the method comprises the steps: obtaining soil environment parameters and biological mulching film degradation parameters of the farmland under the biological mulching film coverage condition, and obtaining the relation between biological mulching film degradation products according to the soil environment parameters of the farmland. And based on a geochemical model, inputting a relationship between biological mulching film degradation products and biological mulching film degradation parameters, establishing a farmland greenhouse gas emission amount estimation model under the condition of dynamic degradation of the biological mulching film, and estimating the total greenhouse gas emission amount of the farmland covered by the biological mulching film. The method can accurately estimate the greenhouse gas emission amount of the biofilm mulching farmland, and is beneficial to promoting the development of green and sustainable agriculture.

The invention provides a carbon emission calculation method and system based on a novel pipe gallery lining construction technology, and belongs to the technical field of administrative purpose information. Firstly, a carbon emission factor database is established, and then for construction details of the novel pipe gallery lining construction technology, the types of main materials and turnover materials are identified, the turnover rate is considered in carbon emission calculation, and energy consumption of all kinds of materials is refined; the turnover materials are further identified, the light turnover materials are determined, the full-load mass and the full-load volume of a transportation carrier are considered, and the construction technology off-site transportation carbon emission CYS is calculated more accurately by optimizing a transportation model; in combination with the length of the standard section of the pipe gallery, an in-field transportation model is optimized, and the construction technology in-field transportation carbon emission CNS is accurately calculated; by means of the scheme, refined and precise carbon emission calculation is achieved, the carbon emission of the pipe gallery lining construction technology can be quantified more accurately and comprehensively, and a direction is provided for low-carbon development of the modern construction technology.

Embodiments of the present disclosure relate to a dependency aware smart green workload scaler, and an example system is disclosed that may include one or more memories and one or more processors. The one or more processors are configured to determine that the first workload is dependent on one or more other workloads. The one or more processors are configured to determine a metric of first carbon emissions associated with the first workload and determine a predicted metric of second carbon emissions associated with the one or more other workloads. The one or more processors are configured to determine a combined emission comprising the metric of the first carbon emission and the predicted metric of the second carbon emission. The one or more processors are configured to determine a copy count for the first workload based on the combined emissions and an emissions threshold, and schedule generation of copies of the first workload or destruction of copies of the first workload to achieve the copy count.

The utility model provides a mortar fluidity detection device. The mortar fluidity detection device comprises a support frame, a mixing assembly and a measuring assembly, the supporting frame is provided with a table board extending in the horizontal plane. The mixing assembly is movably mounted on the supporting frame and is suitable for stirring raw materials to obtain mortar; and the measuring assembly is mounted on the supporting frame and is suitable for receiving the mortar from the mixing assembly and uniformly discharging the mortar to the table board so as to obtain the expansion degree of the mortar which is completely spread and is in a static state, and the fluidity of the mortar is evaluated according to the expansion degree.

The wastewater treatment system comprises a water inlet unit, a reactor, a separation unit and a circulation unit which are sequentially connected to form a closed-loop system, the water inlet unit is further connected with a chemical dosing unit, the water inlet unit is used for conveying wastewater to the reactor, and the chemical dosing unit is used for adding alkali into the wastewater to adjust the pH value and providing required magnesium ions; a fluidization reaction zone and a separation zone are arranged in the reactor, and the fluidization reaction zone promotes generation and growth of struvite particles through particle collision and aggregation; the separation zone enables generated particles to partially fall back to the fluidization reaction zone for continuous reaction through preliminary solid-liquid separation; the separation unit is used for receiving the wastewater in the separation area, further removing residual particles, and enabling the small particles to flow back to the reactor through the circulation unit for recycling. By optimizing particle generation, separation and backflow processes in wastewater treatment, formation of target large particles is promoted, resource recycling is facilitated, meanwhile, consumption of chemical agents is reduced, and cost is reduced.

The utility model relates to the technical field of archaeological, and discloses a ventilation and drainage structure of an archaeological work building, which comprises a bottom plate and a plurality of support rods fixed at the top of the bottom plate, a curtain wall is arranged between the adjacent support rods, and the tops of the plurality of support rods are fixedly provided with the same first frame; a plurality of mounting rods are fixed to the top of the first frame in an inwards inclined mode, the same second frame is fixed to the tops of the mounting rods, a plurality of drainage plates are arranged between the first frame and the second frame, the drainage plates are sequentially enlarged from top to bottom, and a certain gap is reserved between every two adjacent drainage plates. A plurality of drainage plates are arranged between the first frame and the second frame, and rainwater can be sequentially discharged downwards through the drainage plates when falling onto the uppermost drainage plate; a certain gap is formed between every two adjacent drainage plates, air in the archaeological greenhouse can flow with the outside, a good ventilation effect can be kept, and discomfort brought to workers due to the fact that the passing effect in the archaeological greenhouse is too poor is avoided.

This invention discloses a carbon emission data quality early warning method and system based on big data. The early warning method includes the following steps: collecting and preprocessing carbon emission data from enterprises and actual emissions; calculating the theoretical total carbon emissions of a single enterprise based on the enterprise carbon emission data; calculating the theoretical specific content of carbon emission types at each stage based on the theoretical total carbon emissions of a single enterprise, and issuing an early warning if the specific content of a certain type exceeds the industry standard; detecting the actual carbon emission type content and total carbon emissions of a single enterprise at each stage, comparing them with the industry standard, and issuing an early warning if they exceed the standard; calculating the difference between the actual monitored carbon emissions in the control area and the area's carbon emission standard, and the difference between the carbon emission type content and the type standard, and issuing an early warning if they exceed the standard; providing an early warning record for the area based on the early warning information; calculating a carbon emission reduction potential index to assess the degree of carbon emission reduction after the early warning enterprise takes measures. This invention provides early warning information from multiple aspects of carbon emissions, making carbon emission early warning more accurate.

The invention discloses an electricity-carbon coupled regional multi-energy complementary system carbon emission analysis method and system, and relates to the technical field of energy system optimization, and the method comprises the steps: converging energy data in a multi-energy complementary system; establishing a network load flow calculation model, and solving a load flow result; measuring and calculating the power carbon emission of the power generation side of the multi-energy complementary system; and constructing a carbon emission analysis model of the regional multi-energy complementary system. According to the regional multi-energy complementary power system data fusion method provided by the invention, the problem that the algorithm precision is influenced by inaccurate data caused by bad data is reduced, and then a network load flow calculation model of a multi-energy complementary power system containing renewable energy sources is established; according to the method, the power flow results of the power generation side, the network side and the power utilization side of the system can be solved quickly, and the power flow direction of renewable energy of the power generation side can be tracked.

The utility model discloses a PH adjusting device which comprises a bottom plate, an adjusting barrel, an acid liquor barrel and an alkali liquor barrel are arranged on the upper surface of the bottom plate, a cover plate is arranged at the end, away from the bottom plate, of the adjusting barrel, two water pumps, a warning lamp base and a feeding pipe are arranged on the upper surface of the cover plate, the warning lamp base is located in the middle of the upper surface of the cover plate, and the feeding pipe is located in the middle of the upper surface of the cover plate. A warning lamp is arranged on the upper surface of the warning lamp base, the water pumps are located on the two sides of the warning lamp, a controller is arranged on the outer surface of the adjusting barrel, a sensor is arranged on the inner wall of the adjusting barrel, round penetrating holes are formed in the bottom end of the bottom plate and the bottom end of the adjusting barrel, and the bottom end of the bottom plate is in threaded connection with a motor base. A motor is arranged at the bottom end of the motor base, the output end of the motor is connected with a stirring shaft through the bottom plate and a through hole in the bottom end of the adjusting barrel, and a plurality of stirring plates are arranged on the outer surface of the stirring shaft. Through the structure, an operator can be reminded of the working state of equipment in time, and operation safety is guaranteed.

The invention provides a carbon emission accounting method and a carbon emission portrait generation method based on consumption behaviors of residents, and belongs to the technical field of carbon emission accounting, and in the accounting method, consumption data of the residents in various consumption behaviors are used for accounting carbon emission corresponding to the various consumption behaviors of the residents. The method can accurately obtain the carbon emission of the resident in daily life, provides data support for the scoring of the carbon emission of various consumption behaviors of the resident, further generates a carbon emission portrait of each consumption behavior of the resident, displays the carbon emission state of the resident in various consumption behaviors, and provides guidance for formulating an incentive mechanism for the resident to participate in carbon reduction work.

The present invention discloses a precise hole fertilization fertilizer apparatus, and relates to the technical field of precise fertilization, the precise hole fertilization fertilizer apparatus comprises a plurality of fixing assemblies, each fixing assembly is provided with a fertilizer guide assembly and an auxiliary fertilization assembly, the fixing assembly is further provided with a sowing assembly, the fertilizer guide assembly is used for guiding and conveying a fertilizer into a ditch hole, and the auxiliary fertilization assembly is used for guiding and conveying the fertilizer into the ditch hole. The fertilizer guiding assembly comprises a conveying box, a feeding opening and a discharging opening are formed in the side face and the bottom of the conveying box respectively, and the auxiliary fertilizer applying assembly comprises a material distributing strip block communicated with the discharging opening in the bottom of the conveying box. During use, through the arrangement of the material distributing strip block, the material distributing cavity and the multiple discharging holes, fertilizer falling from the conveying box can evenly fall down in the transverse direction, then the fertilizer is pushed into seed ditches in a concentrated mode through the material pushing mechanism, it can be guaranteed that the distance between the fertilizer and seeds is consistent and small, and therefore the fertilizer can be evenly distributed in the seed ditches. The absorptivity of the seeds to the fertilizer fertility is improved, and the growth quality of the seeds is further improved.

This utility model discloses an automatic separation and collection device for heavy debris in an airflow conveying system, relating to the technical field of airflow separation equipment. The separation body includes a cylindrical cavity with a conical guide hood at the top. A spiral feed plate is located between the outer side of the guide hood and the inner wall of the cavity. A feed pipe is located on one side of the upper part of the cavity, a discharge pipe is located at the top of the cavity, and a discharge port is located at the bottom of the cavity. Corn fibers, being lightweight and highly susceptible to airflow, move upwards more easily with the airflow, while heavy debris, due to gravity and centrifugal force, tends to sink closer to the inner wall of the cavity, significantly improving the initial separation efficiency and reducing the mutual entanglement of corn fibers and heavy debris.

The present invention proposes a carbon footprint accounting method and system based on artificial intelligence technology, which relates to the field of environmental protection science and technology. The method includes: collecting activity data, and obtaining a battery life cycle flow chart based on the activity data; dividing each link into different areas, dividing the activity data in the area into time periods and classifying them, and selecting a carbon footprint accounting method according to the classification to obtain the carbon footprint accounting results under the classification; integrating the obtained results to obtain comprehensive accounting results, and constructing a prediction model based on the existing carbon footprint data; setting up collection equipment in key areas, and correcting and optimizing the prediction model through actual carbon emission data and predicted data in key areas; regularly updating data and prediction models, which not only improves the accuracy and comprehensiveness of carbon footprint accounting, but also enhances the adaptability and prediction ability of the prediction model, providing strong support for the sustainable development of the battery industry.

The invention discloses an inversion method, system, equipment and medium for black carbon emission, and relates to the technical field of carbon emission list inversion, and the method comprises the steps: carrying out the space-time decomposition and dimension reduction of a black carbon emission list through employing an empirical orthogonal function model, and obtaining a plurality of emission source regions representing a black carbon emission source on a global scale; in each emission source area, considering linear and nonlinear interaction among a plurality of influence factors, and establishing a nonlinear regression model between the interaction influence of the plurality of influence factors and the black carbon emission; and inputting the satellite remote sensing observation truth values of the plurality of influence factors and the reanalysis meteorological field data into a nonlinear regression model to obtain a black carbon emission list in the emission source area. According to the method, accurate black carbon emission can be obtained through inversion, and then accurate black carbon emission list data are obtained.

This invention relates to the field of water purification and filtration technology, and discloses a water purification and filtration unit based on a scale inhibitor. The unit includes a body, with an inlet pipe at the top and a purified water drain pipe and a wastewater drain pipe at the bottom. Control valves are installed on both the purified water and wastewater drain pipes. A fixing ring and a baffle are fixed to the inner top of the body. This invention achieves intelligent adjustment of the scale inhibitor's packing density through a baffle design. It automatically removes surface-adhered impurities using the reverse flushing action of water flow. The entire process is completed automatically by a mechanical structure, requiring no additional energy or chemical cleaning agents. This maintains the scale inhibitor's optimal working condition and significantly extends its service life. The dual-pipe design for purified and wastewater ensures precise discharge, guaranteeing that impurities and wastewater are completely discharged through dedicated pipes, avoiding cross-contamination.

The invention discloses a residential land carbon emission analysis method and device and a storage medium, and relates to the technical field of carbon emission analysis, and the method comprises the steps: obtaining land feature index data of a to-be-analyzed residential land, and inputting the land feature index data into a predetermined carbon emission prediction model, and obtaining a prediction result output by the carbon emission prediction model. According to the residential land carbon emission analysis method, the carbon emission analysis of the residential land can be realized only according to the land feature indexes, and the analyzed residential land can be the planned residential land, so that the carbon emission analysis of the residential land can be carried out without depending on the energy consumption data of the residential land, and the carbon emission analysis efficiency of the residential land is improved. And carbon emission analysis can be carried out on the planned residential land. According to the improved carbon emission prediction model provided by the embodiment of the invention, the carbon emission of the residential land can be analyzed more accurately.

The invention discloses an enterprise power carbon emission accounting method based on a power transaction flow, and relates to the field of carbon emission accounting. Comprising the following steps: establishing a power transaction classification index, performing classification and curve decomposition on enterprise power transactions to obtain power transaction activity data of an enterprise at different time scales, and correcting the transaction electric quantity; calculating a regional dynamic carbon emission factor based on regional source side power generation and inter-regional power transaction behaviors; and after considering the carbon offset effect of the environmental benefit product, calculating the carbon emission of the enterprise power consumption under different time scales. The enterprise electric power carbon emission accounting method based on the electric power transaction flow has scientificity, practicability and operability, electric power carbon emission of a user side can be more accurately accounting, the temporal-spatial resolution of carbon measurement is improved, and organic combination of an electric power market and a carbon market is promoted.

The application provides an auxiliary calculation method for industrial user comprehensive energy carbon emission based on a space-time correlation matrix, a virtual sensor array is constructed by fully utilizing the power metering instrument which has been scaled and arranged in a factory, and non-electric energy metering instruments do not need to be purchased, installed and transformed; based on the space-time correlation matrix mathematical model which is bound to the physical prior constraint of a production process, the low-frequency non-electric energy cumulative consumption of an hour and a day is reconstructed into the minute-granularity instantaneous non-electric energy consumption time sequence which is synchronous with the high-frequency electric active power, the lag defect of traditional carbon emission accounting is solved, and real-time energy-saving intervention in a production process and accurate carbon emission abnormality tracing are realized.

The invention discloses a method for measuring and calculating the discharge amount of atmospheric particulates on an exposed ground, and belongs to the technical field of atmospheric pollution control, and the method comprises the steps: determining the total amount of substances needing to be transported according to the mechanical cargo capacity of a vehicle and data information of the exposed ground, and calculating the discharge amount of atmospheric particulates on the exposed ground according to the total amount of substances, cargo capacity information and data information of the exposed ground; and determining the total driving mileage of the vehicle machinery needing to carry out material transportation as the vehicle machinery activity intensity, and then obtaining the flying dust particulate matter emission amount generated by vehicle machinery driving based on the vehicle machinery driving flying dust particulate matter emission factor and the vehicle machinery activity intensity, thereby realizing measurement and calculation of the atmospheric particulate matter emission amount. According to the vehicle operation mechanical strength obtained through the method, the actual vehicle mechanical working form is considered, the reliability of the obtained vehicle mechanical operation strength is guaranteed, and therefore accurate quantification of the bare ground dust particulate matter emission amount is achieved on the basis of reliable vehicle mechanical operation strength obtaining.

An oil field thermal power station waste gas treatment device belongs to the technical field of oil field production waste gas treatment service operation and comprises a chimney inner baffle, a waste gas underground pipeline gate, a waste gas cooling system, an induced draft fan, an underground pipeline and an earth surface air outlet. A waste gas underground pipeline gate and a waste gas cooling system are sequentially arranged on a pipeline between the chimney and the induced draft fan, and the induced draft fan is connected with an earth surface air outlet through an underground pipeline. According to the oil field thermal power station, a set of biological treatment device is established, by arranging an underground waste gas emission pipeline and a ground surface air outlet, precise emission and mass absorption of waste gas by ground surface crops and woods are achieved, the pollution and emission problems in the electric energy generation process are solved, migration of carbon dioxide is achieved, and energy is saved. The electric energy really becomes a green and pollution-free novel energy source, and meanwhile, industrial raw materials are provided for carbon dioxide flooding of an oil field.