25 results about "Industrial emission" patented technology

The invention relates to the technical field of carbon emission prediction, and discloses a combined carbon emission prediction method based on multi-source heterogeneous tensor data. The method comprises the steps that multi-source carbon emission data streams such as industrial emission, traffic flow and energy consumption in a target area are collected, and a carbon emission tensor sequence with the unified space-time dimension is generated through heterogeneous tensor conversion; multi-scale space-time correlation features in the sequence are extracted through a dynamic feature fusion algorithm, and a combined prediction model containing a long-period trend prediction branch and a short-period fluctuation prediction branch is constructed. And iteratively training the model by using a historical tensor sequence until convergence, and inputting a real-time multi-source data stream to output a combined prediction result. According to the method, effective integration and deep feature mining of multi-source heterogeneous data are realized, different change rules of carbon emission are accurately captured through branching model design, the comprehensiveness and reliability of prediction are improved, and scientific reference is provided for carbon emission management and control.

The invention relates to the technical field of data integration, and particularly discloses a perfluoro / polyfluoroalkyl substance multi-source exposure data integration risk assessment system, which is characterized in that environmental exposure data of perfluoro / polyfluoroalkyl substances is acquired through a multi-source environmental sensor array, and a PFAS multi-mode exposure feature database is established; carrying out pollution source isotope fingerprint analysis, and obtaining source contribution rate distribution maps of three pollution sources of industrial emission, surface runoff and atmospheric settlement through a nonlinear source analysis algorithm; constructing a three-dimensional geographic information dynamic migration model according to the source contribution rate distribution map, and generating a multi-medium dynamic migration flux matrix; a composite risk assessment model is established based on the multi-medium dynamic migration flux matrix, probability risk assessment is executed in combination with an ecological toxicity threshold database, and a space gridding risk grade map is output; the method not only fills the blank of the prior art in the aspects of multi-medium dynamic modeling and nonlinear source analysis, but also provides powerful technical support for environmental pollution control and ecological risk prevention and control.

The invention provides a remote sensing-based land utilization carbon emission evaluation method, device and equipment and a medium, and the method comprises the steps: carrying out the radiometric calibration and spatial registration of obtained multi-source remote sensing data, and obtaining a standardized raster data set; generating a land utilization classification grid map based on the standardized grid data set; generating a land change vector layer through a continuous multi-stage land utilization classification grid map; generating a dynamic evaluation unit vector boundary according to the land utilization classification grid map and the land change vector layer; correcting a vegetation carbon absorption coefficient and an industrial emission coefficient in real time based on remote sensing inversion data, and constructing a spatial carbon transfer model; and inputting the land utilization classification grid map, the dynamic evaluation unit vector boundary and the spatial carbon transfer model into a layered mixed carbon emission evaluation model to obtain a carbon emission intensity distribution map. By adopting the scheme, the carbon emission under different land utilization modes can be accurately evaluated, and the scientificity and policy applicability of regional carbon balance evaluation are improved.

The invention provides an atmospheric pollutant traceability analysis method and system. According to the method, a form classification standard is established through particle shape features, and atmospheric particles are divided into naturally raised dust and industrial emission particle swarms. A dual-wavelength laser technology is adopted for natural flying dust, specifically, the first wavelength is matched with the inherent frequency of mineral crystals, amorphous scattering interference is blocked through polarization beam splitting, and a reflection signal sequence is extracted to generate a mineral migration path; and the second wavelength screens heavy metal scattering signals of the industrial particles, and a heavy metal diffusion track is constructed by utilizing spatial intensity gradient. And superposing the two paths and aerosol three-dimensional distribution data to generate a thermal distribution diagram, and when the space density exceeds a threshold value, calculating a migration path deviation value and a trajectory offset, dynamically distributing pollution source contribution weights, and outputting a pollution source analysis result. According to the invention, dynamic and accurate analysis of natural and industrial pollution sources is realized, and the regional pollution traceability and management and control strategy targeting are improved.

The invention discloses a sea-land interaction zone underground water pollution source tracing method based on multi-pollutant fingerprints, and the method comprises the steps: constructing a fingerprint feature library of eight key pollutants including cadmium, arsenic, nitrate nitrogen, ammonium nitrogen, phosphate, total petroleum hydrocarbon, sulfamethoxazole, pH value and the like; statistical characteristic models of four pollution sources of industrial emission, agricultural non-point sources, oil exploitation and aquaculture are established, Z-Score standardization and a similarity calculation method based on a standard normal distribution probability density function are adopted, comprehensive similarity evaluation is performed in combination with a risk weight distribution mechanism, a similarity threshold value of 0.7 is set to perform pollution source identification and sorting, and the pollution sources are identified and sorted according to the similarity threshold value. And correction is performed by considering environmental factors such as tide, season and geology of a sea-land interaction zone. The method can quickly and accurately recognize the groundwater pollution source of the sea-land interaction zone, the traceability accuracy rate reaches 80% or above, and scientific and technical support is provided for prevention and control of groundwater pollution of the sea-land interaction zone and formulation of an environmental protection policy.

The invention provides an industrial emission pollutant concentration identification method, system and device based on a multi-mode video, and the method comprises the steps: obtaining a visible light / infrared video which is subjected to time-space alignment, positioning a pollution feather flu region of interest, extracting image and time sequence features in the region of interest (ROI), and carrying out the regression, thereby obtaining an initial concentration estimation value yhat; based on the scale proportion of the ROI in the image, a plurality of calibration curves are adaptively selected or weighted by using a preset function to calibrate the initial concentration yhat, and the calibrated concentration ycal is output; meanwhile, uncertainty is given in a quantile interval mode, and coverage rate calibration is achieved through monotone mapping. And finally, binding the concentration, the uncertainty and the intermediate process data with the unique traceability identifier to generate a reviewable evidence packet. According to the method, end-to-end quantitative identification from common video to concentration is realized, and accuracy, robustness and traceability are improved.

The present application relates to the technical field of carbon emission prediction, and discloses a combined carbon emission prediction method based on multi-source heterogeneous tensor data.The method comprises collecting multi-source carbon emission data streams such as industrial emissions, traffic flow and energy consumption in a target area, and generating a unified spatio-temporal dimension carbon emission tensor sequence through heterogeneous tensor conversion.Through a dynamic feature fusion algorithm, multi-scale spatio-temporal correlation features in the sequence are extracted, and a combined prediction model containing a long-period trend prediction branch and a short-period fluctuation prediction branch is constructed.After the model is iteratively trained to convergence using historical tensor sequences, real-time multi-source data streams can be input to output the combined prediction results.The method realizes effective integration and deep feature mining of multi-source heterogeneous data, accurately captures different change laws of carbon emissions through branched model design, improves the comprehensiveness and reliability of the prediction, and provides a scientific reference for carbon emission control.

The invention provides an industrial source VOCs emission component spectrum construction method based on headspace analysis and a material balance algorithm. The method comprises the following steps: (1) raw material sample collection and pretreatment; (2) analysis of VOCs components in raw materials; (3) establishment of a material balance model; and (4) establishment of an enterprise overall emission component spectrum. According to the method, through coupling of experimental determination and material balance simulation, cross-scale connection from solvent physicochemical characteristics to enterprise emission spectrums is achieved, the accuracy, representativeness and operability of the industrial VOCs emission source component spectrums are remarkably improved, and a scientific and systematic novel method is provided for industry emission reduction decision making and pollution source analysis.

The application provides a kind of industrial source VOCs emission component spectrum construction method based on headspace analysis and material balance algorithm.The method comprises the following steps: (1) raw material sample collection and pretreatment (2) VOCs component analysis in raw material (3) material balance model establishment (4) enterprise overall emission component spectrum establishment.The application realizes the cross-scale connection from the physical and chemical properties of solvent to enterprise emission spectrum through the coupling of experimental determination and material balance simulation, significantly improves the accuracy, representativeness and operability of industrial VOCs emission source component spectrum, and provides a scientific, systematic new method for industry emission reduction decision and pollution source analysis.

The low-energy-consumption CO2 trapping device comprises a bin body, a gas inlet pipe and a discharging pipe are arranged on the bin body, a first liquefying box and a second liquefying box are symmetrically arranged in the bin body, the gas inlet pipe is connected with the two liquefying boxes through a first gas distributing pipe and a second gas distributing pipe, and the first gas distributing pipe and the second gas distributing pipe are provided with electromagnetic valves. The bottom end of the liquefying box is connected with a discharging pipe through a first discharging pipe and a second discharging pipe which are provided with one-way valves; the gas distribution pipe penetrates through the filter box, a detachable filter layer is arranged in the filter box, a plate heat exchanger is arranged on one side of the liquefaction box, and a jacket type low-temperature rectifying column is mounted in the liquefaction box. The trapping method comprises the steps of pretreatment, split-flow gas inlet, liquefaction trapping, discharge backflow prevention, dynamic adjustment and maintenance, and a single / double-box operation mode can be switched according to the CO2 emission load. The device realizes continuous and stable capturing process, dynamic and controllable energy consumption, high CO2 capturing purity and recovery rate, is convenient to maintain, is suitable for industrial emission sources of power plants, chemical plants and the like, and has remarkable energy-saving effect and industrial application value.

The invention discloses a method and a system for determining heavy metal pollution characteristics of water sediment, and relates to the technical field of environment monitoring and water environment governance, the system is characterized in that surface sediment samples are regularly collected at different positions of water in a mine area and an industrial gathering area, and a metal element data set and a reference data set are established; calculating a single-factor pollution index, and judging whether single metal exceeds the standard or not; integrating the single-factor pollution indexes to obtain a comprehensive pollution index, and determining the overall pollution level; whether manual input pollution exists or not is judged by calculating the geocumulative index; according to the method, correlation analysis, principal component analysis, factor analysis and GIS space statistics are combined, multi-dimensional indexes are extracted, pollution source analysis coefficients are calculated, agricultural non-point source or industrial emission dominant pollution types are determined, and corresponding prevention and control strategies are generated. According to the method, multilevel feature recognition and source analysis of sediment heavy metal pollution can be realized, and a scientific basis is provided for water area pollution treatment and risk management and control.

The invention discloses a liquid carbon dioxide offshore jacket type injection and storage method. The liquid carbon dioxide offshore jacket type injection and storage method comprises the steps that S1, carbon dioxide captured by an industrial emission source is purified; s2, pressurizing and cooling the purified carbon dioxide to convert the carbon dioxide into liquid carbon dioxide; s3, the liquid carbon dioxide is conveyed to the offshore jacket platform through a transport ship, and the liquid carbon dioxide is stored in the offshore jacket platform; s4, pressurizing the liquid carbon dioxide to enable the pressure of the liquid carbon dioxide to be increased to 30-100 MPa; s5, the pressurized liquid carbon dioxide is stably injected into the seabed deep reservoir, so that the carbon dioxide is sealed and stored in the seabed deep reservoir; and S6, full-period monitoring is carried out on the sealed and stored products, and the leakage risk is early warned in advance. The liquid carbon dioxide offshore jacket type injection and storage method has the advantages of being simple in step, high in transportation efficiency and the like.

The invention relates to the technical field of industrial emission treatment, in particular to a dust waste gas treatment method. According to the invention, a wet electrostatic precipitation (WESP) deep pretreatment heat energy cascade recycling humidifying hydrophobic zeolite rotating wheel concentration heat storage type oxidation cooperative treatment chain is constructed. Submicron particles and aerosol are efficiently removed under a high-voltage electric field through the WESP unit, and the risk of physical blockage to the rotating wheel is eliminated; afterheat of high-temperature purified flue gas generated by a heat accumulating type oxidation system is utilized, the temperature of saturated wet flue gas at an outlet of the WESP is increased by 5-15 DEG C through gas-gas heat exchange, the relative humidity is reduced to 60% or below, and an environment suitable for zeolite adsorption is created; and the concentrated organic oxide is oxidized and decomposed in the heat accumulating type oxidizing furnace to release heat energy, so that the heat balance of the system is maintained. According to the method, the comprehensive operation energy consumption of the system is remarkably reduced while dual up-to-standard emission of the particulate matters and the organic oxides is guaranteed.

The invention discloses an industrial VOCS emission quality evaluation method and system based on big data, and the method comprises the steps: calculating the emission amount in unit time based on the VOCS concentration and flow, obtaining the emission intensity characteristics, calculating the treatment efficiency characteristics through comparing the VOCS concentration before and after treatment, and simulating the concentration distribution under a complex terrain through an ADMS, and obtaining the environmental influence characteristics; fusing the emission intensity feature, the treatment efficiency feature and the environmental influence feature through a cross-modal attention mechanism; an LSTM neural network is utilized to predict the VOCS emission trend in a future time period, and the operation efficiency of treatment equipment is quantified through a random forest algorithm; and inputting the fusion feature vector into the dynamic evaluation model, and outputting an industrial VOCS emission quality evaluation report. The limitation of traditional single index evaluation is avoided, and the evaluation result is more comprehensive.

The application discloses a carbon mineralization plate production system coupled with flue gas and waste heat and a carbon cycle method, relates to the technical field of carbon mineralization plate production, and the production system comprises an industrial emission source module, a flue gas pretreatment and buffer module, a waste heat recovery and distribution module, a carbon mineralization plate production line adaptation module and an intelligent coupling control module, the industrial emission source module is used for monitoring flue gas data and performing prediction and data processing; the flue gas pretreatment and buffer module is used for purifying, dynamically conditioning and online detecting flue gas; the waste heat recovery and distribution module is used for waste heat graded recovery, phase change heat storage buffering and intelligent heat distribution network distribution; the carbon mineralization plate production line adaptation module is used for production line equipment modification adaptation, carbonization maintenance and plate conveying control; and the intelligent coupling control module is used for edge control and cloud analysis. The production system provided by the application can realize efficient utilization of industrial flue gas and waste heat resources.

The present application relates to a kind of resource utilization method of N2O in adipic acid tail gas, under the condition of not using catalyst, still can N2O in adipic acid tail gas is handled, and further production has industrial value nitric acid and will not cause impact to environment nitrogen and oxygen, in reaching to N2O in adipic acid tail gas is handled while generating economic benefits, and process is simple, N2O removal rate is high, stability is high, environment-friendly and resource utilization rate is high, tail gas catalytic treatment can also be substantially reduced the cost of processing.And the method of the present application can be continuously operated, can continuously solve adipic acid industrial tail gas emission problem, so that it reaches industrial emission standard, reduces the cost of enterprise processing tail gas, has important practical significance and engineering application value.

The invention discloses an atmospheric pollution source dynamic point source emission list construction method, system and device, a medium and a product, and relates to the field of environmental protection, and the method comprises the steps: collecting CEMS emission data, a regional grid list and meteorological data; identifying different chemical species in the atmospheric pollution source according to the emission data of the CEMS, and determining the pollutant type; for each pollutant type, calculating an hourly real-time monitoring emission rate according to emission data of the CEMS; the smoke plume lifting height is calculated according to the environment wind speed and CEMS emission data; the point source emission rate in the regional grid list is dynamically updated according to the hour-by-hour real-time monitoring emission rate, the smoke plume lifting height, CEMS emission data and meteorological data are combined, the dynamic point source emission list of the atmospheric pollution source is constructed, the dynamic change characteristics of actual emission along with time can be reflected, and the industrial emission process can be simulated more truly.

The invention provides an industrial emission cloth bag dust removal device based on multi-stage filtration, which belongs to the technical field of flue gas filtration equipment and comprises a filter box, an exhaust pipe and an air inlet pipe. Wherein a shaft pipe is arranged in the filter box, one end of the shaft pipe extends into the air inlet pipe, a plurality of blocking nets distributed in the length direction are arranged in the air inlet pipe, the blocking nets are connected to the shaft pipe, and the outer side of the air inlet pipe is sleeved with a magnet exciting coil capable of being electrified to generate a magnetic field. A plurality of blocking nets are arranged in the air inlet pipe, the outer side of the air inlet pipe is sleeved with the magnet exciting coil, the magnet exciting coil magnetizes the blocking nets in the air inlet pipe, magnetic substances (iron, nickel and cobalt) in gas are adsorbed on the blocking nets under the action of a magnetic field, the magnetic substances can be separated independently, the magnet exciting coil is closed at regular intervals, and therefore the magnetic substances can be separated independently. And magnetic substances on the barrier net are cleaned.

This invention provides an industrial emission baghouse dust collector based on multi-stage filtration, belonging to the technical field of flue gas filtration equipment. It includes a filter box, an exhaust pipe, and an inlet pipe. The filter box contains a shaft tube, one end of which extends into the inlet pipe. The inlet pipe contains multiple barrier meshes distributed along its length, connected to the shaft tube. An excitation coil capable of generating a magnetic field is fitted onto the outer side of the inlet pipe. This invention, by setting multiple barrier meshes inside the inlet pipe and fitting an excitation coil on the outer side, magnetizes the barrier meshes. Magnetic materials (iron, nickel, cobalt) in the gas are adsorbed onto the barrier meshes under the influence of the magnetic field, allowing for individual separation of the magnetic materials. The excitation coil is periodically turned off to clean the magnetic materials from the barrier meshes.

The invention relates to the field of toluene catalytic degradation, in particular to a skid-mounted gas purification device for catalytic degradation of toluene and an application method.The skid-mounted gas purification device comprises a skid-mounted base, a cover arranged above the skid-mounted base in a covering mode and a functional unit integrated on the skid-mounted base and located in the cover, the mixing device is used for adjusting and mixing toluene waste gas and co-reaction gas; and the catalytic reaction unit is communicated with the gas path control and gas mixing unit, is filled with a CTO catalyst, and is used for catalytically degrading toluene at 245-350 DEG C. The skid-mounted purification device is suitable for scattered scenes with small air volume, such as workshops, printing and dyeing workshops, small industrial emission sources and the like, and compared with modes of treating methylbenzene through heat storage combustion and the like, the skid-mounted purification device and application thereof have the advantages of being high in purification efficiency, low in energy consumption, free of secondary pollution, high in safety, convenient to flexibly move and use among multiple scenes and high in cost performance.

The application provides a preparation method of a modified VOCs adsorbent. S The modified VOCs adsorbent prepared by the application has excellent physical and chemical properties and environmental adaptability, is suitable for environmental protection applications in multiple fields, especially industrial emission and indoor air purification, and provides an efficient and environmentally-friendly technical solution for effectively controlling and reducing VOCs pollution.

The application discloses a kind of integrated carbon sequestration gravity energy storage transport systems, including control center, high-low position yard, transport track, transport train and power generation device, system operation includes carbon environment construction, static carbonization, energy storage power generation transport and regular monitoring, the system will be based on carbon sequestration technology and gravity energy storage deeply fused, carbon sequestration heavy block is as energy storage medium and undertakes potential energy conversion task, also as reaction carrier realizes CO2 mineralization, solve the single function problem of traditional energy storage system only stores electricity, does not sequester carbon, by cabin semi-closed environment construction and CO2 directional input, can efficiently capture CO2 in industrial emission source or gaseous buffer source, realize the large-scale stable consumption of CO2, effectively reduce carbon emission intensity, have energy storage peak shaving and carbon emission reduction carbon sequestration dual benefits.

The utility model provides an efficient carbon dioxide washing and adsorbing device. The efficient carbon dioxide washing and adsorbing device comprises an absorption tank, a heat exchanger and a delivery pump, when the efficient carbon dioxide washing and adsorbing device provided by the utility model is used, industrially discharged flue gas enters the flue gas bin, absorption liquid in the absorption tank is pumped into the solution bin through the conveying pump, and the flue gas is conveyed into the absorption tank after the temperature of the flue gas is greatly reduced through heat exchange between the solution bin and the flue gas bin; and the rich liquid of the absorption liquid in the absorption tank is heated after heat exchange, and the organic amine and a compound formed by the carbon dioxide are subjected to decomposition reaction in a high-temperature environment to regenerate the carbon dioxide so as to complete the separation and centralized collection of the carbon dioxide. The heat in the flue gas can be fully utilized, the energy loss is reduced, the low-temperature flue gas enters the absorption tank, carbon dioxide in the flue gas can be more effectively absorbed, and the capture efficiency of the carbon dioxide is improved.

An environmental emission reduction system obtaining industry emissions data; determining, based on the emissions data, project emission risk models operable to determine a project emission risk assessment for a project based on project data; identifying, based on project data for a project, a project emission risk model of models; determining, based on application of the project data to the model, a project emission risk assessment; determining, based on the project emission risk assessment, a self-executing emission monitoring agreement for the project that defines emission metrics for the project; and conditional asset distributions; obtaining observed values of the monitored emission metrics; determining, based on application of the observed values of the monitored emission metrics to the self-executing emission monitoring agreement, whether an emission asset distribution event has occurred; and distributing, in response to determining that one has occurred, an emission asset distribution to one or more member entities.

The utility model relates to gas collection technical field, specifically disclose a kind of sampling device for industrial emission gas monitoring, comprising: extraction cylinder, the middle part of extraction cylinder top is fixedly connected with guide sleeve, the back of extraction cylinder is fixedly connected with adjusting cavity, the inside of guide sleeve is slid and is penetrated with extrusion rod, the top end fixedly connected with extrusion block on the surface of extrusion rod, the inner bottom wall of guide sleeve is fixedly connected with compression spring, the inner bottom wall of adjusting cavity is fixedly connected with electric telescopic rod, the output end of electric telescopic rod is fixedly connected with electromagnet, the top of electromagnet is connected with push rod, the surface of storage cylinder is provided with control valve;The utility model is through the collocation use of electric telescopic rod, electromagnet, extrusion rod, storage cylinder, piston, blocking piece and compression spring, so that gas sampling device can carry out multiple multipoint collection to the industrial emission gas of collection point position, improve the accuracy of subsequent monitoring result, simple operation simultaneously, staff can operate one.