1701 results about "Co2 concentration" patented technology

The invention discloses a monitoring point distribution method and device based on industrial park gas monitoring and a medium, and relates to the technical field of carbon monitoring, triangular mesh division is carried out based on DT triangular mesh division, and according to the difference of monitored areas, the DT triangular mesh division method is used for setting point distribution of the monitored areas, so that the monitoring point distribution accuracy is improved. At least one monitoring point is selected in each grid for carbon dioxide concentration monitoring, point distribution setting can be carried out in different area ranges of prevailing wind directions in different states, the optimal monitoring result can be obtained through the least carbon dioxide gas monitoring points, the accuracy and credibility of the final data result are improved, and the method is suitable for popularization and application. The problems that the current industrial park monitoring coverage range is not wide, the device cost is high, and improvement of the carbon monitoring device distribution position affects the accuracy of the carbon ground monitoring technology are solved.

The invention relates to the technical field of phytotron control systems, in particular to a seed seedling phytotron control system and a control method thereof, which integrate multi-dimensional environment perception, intelligent analysis and decision, precise environment regulation and control, a central controller and a data storage and analysis platform. A seedling raising environment is monitored in real time through temperature and humidity, illumination, CO2 concentration, soil moisture and an image sensor, an intelligent analysis decision module preprocesses data, establishes a growth model, generates a control strategy and optimizes a target by using an advanced algorithm, and an accurate environment regulation and control module executes the strategy and regulates temperature, humidity, illumination and the like. The central controller coordinates operation of the modules and realizes man-machine interaction, and the data storage and analysis platform is responsible for storing data and supporting cloud analysis so as to realize efficient seedling culture management and significantly improve the seed emergence rate from 75% of a traditional method to 92%, and greatly reduce seed waste.

The invention relates to the technical field of intelligent control, and particularly discloses a linkage control method for energy-saving ventilation equipment, which comprises the following steps of: acquiring indoor and outdoor temperature, indoor carbon dioxide concentration and personnel occupancy state data in real time; according to the method, deep collaborative analysis is carried out on the indoor personnel occupancy state and the deviation between the carbon dioxide concentration and a target set value, so that joint characterization of the current indoor fresh air volume regulation and control requirement is achieved, control parameters of a fresh air volume PI D controller are dynamically optimized accordingly, and a basic fresh air volume regulation instruction is calculated. On the basis, thermal disturbance introduced by fresh air is further quantified based on the outdoor and indoor temperature difference, and the thermal disturbance serves as a feedforward signal to be compensated to an air conditioner load adjusting loop, so that dynamic adjustment of the air conditioner load is achieved. In this way, cooperative control over ventilation and air conditioning systems can be achieved, the fresh air-air conditioning equipment energy consumption coupling conflict in traditional control is restrained, and therefore the building energy consumption is reduced while the indoor environment quality is guaranteed.

The invention discloses an earth surface CO2 concentration space-time prediction method fused with satellite-earth observation data, and is suitable for the field of atmosphere and space data monitoring. Preprocessing the acquired XCO2 observation data of the multi-source satellite, the CO2 observation data of the ground station and the auxiliary variable data, and fusing the XCO2 data observed by the multi-source satellite based on an uncertainty weighting method; quantifying the correlation between each auxiliary variable data and the CO2 concentration of the ground station based on a Pearson's correlation coefficient, carrying out significance test, and screening auxiliary variable data with significant correlation; a CNN-GRU-Attention deep fusion model is constructed, spatial-temporal correlation modeling is carried out on the CO2 concentration of a ground station, multi-source satellite observation XCO2 fusion data around the ground station and remarkably related auxiliary variables, and a spatial-temporal characteristic relation is mined, so that spatial-temporal prediction is carried out on the CO2 concentration of the earth surface. The method is strong in generalization ability and high in prediction precision, and can be suitable for space-time prediction of the surface CO2 concentration in different regions.

The invention relates to the technical field of pepper breeding regulation and control, and discloses a pepper breeding isolation shed control system based on the Internet of Things. The system comprises an environment data acquisition module, a user behavior analysis module, an isolation shed partition module, a dynamic baseline generation module, an abnormal interaction detection module, a root node decision module and a recommendation chain construction module. The environment data acquisition module acquires temperature, humidity, illumination intensity and carbon dioxide concentration data in the greenhouse in real time; the user behavior analysis module analyzes a user historical regulation and control instruction; the isolation shed partition module divides regulation and control sub-regions according to environmental differences; a dynamic baseline generation module generates a dynamic environment parameter baseline for each sub-region; the abnormal interaction detection module identifies abnormal environment fluctuation and instructions; a root node decision module screens a root node area with most significant fluctuation; the recommendation chain construction module constructs a multi-level regulation and control recommendation chain. According to the system, the accuracy and intelligence of environment regulation and control of the isolation shed are improved, and the pepper breeding requirement is met.

The invention relates to a method for constructing a high-resolution atmosphere carbon dioxide concentration data set based on XGBoost-BO, and belongs to the technical field of environment monitoring and artificial intelligence modeling. The method comprises the following steps: preprocessing OCO-2 satellite data and multi-source auxiliary data, and fusing the preprocessed OCO-2 satellite data and multi-source auxiliary data to obtain a new data set; a Bayesian optimization method is adopted to search for an optimal hyper-parameter, a target function is optimized through second-order Taylor expansion, a regular term is introduced to control the complexity of the model, and ten-fold cross validation is used to evaluate the performance of the model; quantizing the contribution degree of each feature to model prediction through a tree SHAP method, and analyzing global feature importance ranking and feature contribution distribution of individual samples; and performing model verification by using the test set and the site actual measurement data. According to the method, the problems that an existing model-based reconstruction method is insufficient in interpretation and prone to falling into local optimum are solved, and the temporal-spatial resolution of CO2 concentration monitoring can be improved.

The invention provides a mosquito detection and cooperative killing system and method.The mosquito detection and cooperative killing system comprises a bionic multi-mode sensor array and a dynamic feedback killing device, and the bionic multi-mode sensor array comprises an infrared sensing module used for simulating human skin radiation characteristics; the CO2 concentration gradient sensor is used for detecting the change of the concentration of carbon dioxide and activating the directional scanning of the infrared sensing module; the odor molecule release device is used for triggering a mosquito approaching behavior; the dynamic feedback killing device is used for starting the laser mosquito killing module and killing mosquitoes through infrared positioning coordinates. According to the technical scheme, the mosquito killing effect is improved.

The invention belongs to the field of atmospheric environment monitoring, and particularly relates to a portable multi-point soil CO2 continuous monitoring and data remote transmission system. According to the portable multi-point soil CO2 continuous monitoring and data remote transmission system, the closed air chamber-non-dispersive infrared method is adopted for measuring the soil CO2 concentration, the SenseAir carbon dioxide sensor is connected with the portable soil breathing air chamber, remote and anti-interference wireless data transmission is achieved through the LoRa technology, and the system is simple in structure, convenient to use and high in practicability. The portable multi-point soil CO2 continuous monitoring and data remote transmission system is manufactured. Therefore, automation of multi-point continuous monitoring of soil CO2 in a large-scale range is realized, the dynamic change process of soil respiration is accurately mastered, and a scientific basis is provided for making carbon sequestration and emission reduction measures.

The invention discloses a carbon storage space construction method for an artificial reconstruction plugging key layer, and the method comprises the following steps: S1, carrying out geological exploration, and determining the thickness and lithology of each overlying rock stratum; s2, determining the height of a gas guide fissure zone generated after the coal seam is mined by filling based on theoretical analysis and actual measurement data; s3, on the basis of geological data and the height of the gas-conducting fissure zone, the position of an artificial reconstruction plugging key layer and the position of a grouting layer are determined; s4, filling mining is carried out, grouting is carried out on overlying strata to reconstruct and block a key layer, and a carbon storage space is formed; and S5, carbon dioxide gas is injected into the goaf through a pipeline, carbon dioxide concentration monitoring is conducted on the working face while negative carbon filling is conducted, earth surface rock movement monitoring is conducted on the earth surface, and the negative carbon filling effect is judged. According to the method, the carbon storage space is formed by manually rebuilding and blocking the key layer while the gangue is filled, the space after coal mining can be effectively utilized for storing carbon dioxide, and emission of greenhouse gas is effectively reduced.

The invention discloses a method for adjusting carbon dioxide in a mushroom house based on multi-modal growth stage recognition. The method comprises the following steps: S1, obtaining pre-processed mushroom house environment data and pre-processed mushroom house multi-modal image data; s2, outputting a mushroom growth stage classification label and a mushroom growth stage confidence vector; s3, constructing a multi-target fitness function according to a stage sensing result and generating a stage weight group; s4, obtaining an optimal gas regulation control strategy; s5, adjusting the carbon dioxide concentration of the mushroom house according to the optimal gas adjusting control strategy; and S6, calculating an environmental stability index, triggering the whale optimization algorithm to re-execute the steps S4 to S6 when the environmental stability index exceeds a limit or the confidence vector in the mushroom growth stage is lower than a threshold value, and circularly executing the steps S1 to S6 in the whole mushroom house production period. According to the method, the problems of premature convergence and local optimization are effectively avoided, and the environmental adaptability and the energy consumption optimization effect of a gas regulation strategy are improved.

The invention discloses an urban road CO2 concentration hourly simulation prediction method based on multi-source data fusion and integration algorithm driving, and the method comprises the steps: integrating road underway monitoring CO2 concentration data, road information and traffic data, meteorological data, human geographic data and other multi-source heterogeneous data; a CO2 concentration simulation model based on an integrated algorithm of a random forest (RF) model and a long short-term memory (LSTM) network model is constructed. According to the method, when the CO2 concentration of the urban road is simulated, the problem that a single model can not simulate accurately possibly is considered, an integration algorithm is adopted, the random forest model and the long and short-term memory network model are combined and integrated, and the optimal model is selected to simulate the CO2 concentration of the road, so that the simulation accuracy is effectively improved.

The invention discloses a biochar carbon sequestration and emission reduction soil respiration detection device and an accounting method, and belongs to the technical field of carbon sequestration and emission reduction, the biochar carbon sequestration and emission reduction soil respiration detection device comprises a soil accommodating unit, a gas collecting unit, a gas detection unit, a data recording unit and a processing unit; preparing a plurality of groups of soil samples containing different proportions of biochar, and determining the carbon content of the biochar in each sample by using an organic carbon analyzer; all the soil samples are placed in a soil containing unit simulating a field environment, corresponding temperature and humidity conditions are set, and a detection device is started for gas collection; detecting the carbon dioxide concentration of each gas sample, and calculating to obtain the carbon emission; and based on the data, calculating the total amount of charcoal carbon sequestration and emission reduction of each soil sample through a preset mathematical model. And finally, analyzing the carbon sequestration and emission reduction effect of the biochar by using a multiple regression model, and evaluating the influence of different factors on carbon sequestration and emission reduction.

The invention discloses a distributed digital agricultural park environment perception system, and relates to the technical field of digital agricultural park environment perception, a data acquisition module deployed in an agricultural park is utilized to acquire environment parameters of temperature W, humidity S, illumination intensity G, soil humidity TS and carbon dioxide concentration CO2 in real time, and the environment parameters are stored in a storage unit of the data acquisition module. Historical data of related environment parameters are collected, a data processing and calculating module is utilized to calculate and output an environment comprehensive index HZ, an irrigation demand GG and an intelligent regulation and control evaluation value TK, data display and feedback are utilized, a trend chart is drawn in combination with the result of the intelligent regulation and control evaluation value TK, temperature W / humidity S / illumination intensity G / soil humidity TS is adjusted in a targeted mode, and the intelligent regulation and control evaluation value TK is obtained. According to the method, the perception regulation and control performance and the user experience of the system are further improved by improving the data accuracy, optimizing the intelligent regulation and control strategy, enhancing the self-adaptive capability of the system and enriching the solution optimization and innovation measures of the visual targeted regulation and control mode.

The invention relates to the technical field of fire control, in particular to an electrical fire control method and system based on multiple sensors, and the method comprises the steps: obtaining related data of electrical fire influence factors, and carrying out the preprocessing; extracting a current peak value by using an AMPD peak value detection algorithm according to the preprocessed current data, and constructing an arc fault strength index; combining the arc fault strength index and temperature data, analyzing the relationship between arc fault abnormal heat release and temperature change, constructing an electrical heat dissipation goodness, integrating the electrical heat dissipation goodness and the change rule of carbon monoxide and carbon dioxide concentration, constructing a fire risk index, and quantifying the risk degree of electrical fire occurrence; and correcting the SOS anomaly detection algorithm based on the fire risk index to obtain a corrected significant anomaly score, and preventing and controlling the electrical fire according to the significant anomaly score. According to the invention, the fire risk index is constructed in combination with various sensor data, and the electrical fire early warning accuracy and prevention and control efficiency are improved.

The utility model discloses portable equipment for measuring the carbon emission rate of a fixed source. The portable equipment comprises a box body, a signal processing module, a first flue gas parameter measuring module and a second flue gas parameter measuring module, the first flue gas parameter measurement module comprises a pitot tube, a static pressure tube, a differential pressure sensor and a static pressure sensor, the differential pressure sensor is connected with the pitot tube, and the static pressure sensor is connected with the static pressure tube; the second flue gas parameter measurement module comprises a sampling pipe, a temperature sensor, a humidity sensor and a carbon dioxide concentration sensor, the temperature sensor is arranged in the sampling pipe and close to the sampling port, the humidity sensor is arranged in the sampling pipe, and the carbon dioxide concentration sensor is arranged in the sampling pipe and located at the end, without the sampling port, of the sampling pipe; a main discharge pipe is arranged in the box body, the main discharge pipe penetrates out of the box body, and one end, positioned in the box body, of the sampling pipe is connected with the main discharge pipe. According to the utility model, only one sampling hole is needed, the difficulty of insufficient sampling holes of the flue of the power plant is solved, the application scene of the detection device is expanded, and the environmental adaptability is improved.

The invention discloses a method for realizing carbon dioxide emission reduction in a catalyst regeneration process, regenerated flue gas is subjected to dust removal and pressure reduction to obtain low-pressure flue gas, the low-pressure flue gas is divided into a first flue gas material flow and a second flue gas material flow, the first flue gas material flow is subjected to heat exchange, denitration and desulfurization dust removal treatment to obtain desulfurized flue gas, and the desulfurized flue gas is subjected to heat exchange, denitration and desulfurization dust removal treatment to obtain a second flue gas material flow; water vapor in the desulfurized flue gas is removed to obtain low-humidity flue gas, part of the low-humidity flue gas serves as circulating flue gas to participate in catalyst regeneration, part of the low-humidity flue gas and hydrogen are subjected to a combustion reaction, deoxidized flue gas is obtained, and high-concentration carbon dioxide is obtained after the deoxidized flue gas is dehydrated; the second flue gas material flow is subjected to heat exchange with the circulating flue gas or is returned together with the circulating flue gas to participate in catalyst regeneration or is mixed with the first flue gas material flow in the denitration process, and heat exchange, desulfurization and dust removal are continued to obtain desulfurized flue gas. The method solves the problems of large total carbon dioxide emission, low carbon dioxide concentration and high trapping cost of a hydrocarbon processing device in the prior art.

The invention relates to the technical field of environmental monitoring, and discloses a method for reconstructing carbon dioxide concentration enhancement based on multi-source satellite data, which comprises the following operation steps: collecting environmental information such as carbon dioxide dry air column concentration, nitrogen dioxide total column concentration, population density, land utilization, weather and the like to construct an environmental database; pre-processing the collected multi-source data to ensure time-space consistency; according to the population density of the region, the total column concentration of nitrogen dioxide and the land utilization type, setting a threshold value, and dividing the target region into a discharge region and a background region; constructing a background concentration reconstruction model, inverting the carbon dioxide background concentration, and calculating a residual error with actually measured carbon dioxide to obtain a carbon dioxide concentration enhanced sample; based on the carbon dioxide concentration enhanced sample, a concentration enhanced reconstruction model is constructed, and high-resolution carbon dioxide concentration enhanced spatial-temporal distribution is obtained. According to the method, high-frequency monitoring of the carbon source in the region can be realized spatially, and powerful support is provided for dynamic tracking of carbon emission.

The invention discloses a ventilation control system and method based on the Internet of Things, and relates to the technical field of environment control and regulation, and the system comprises an environment data collection module, a central control module, a ventilation execution module, a communication module and a user interaction module. Temperature, humidity, carbon dioxide concentration and PM2.5 concentration are monitored in real time through the environment data acquisition module, the central control module calculates ventilation demand intensity according to a ventilation demand function, and the operation frequency and air volume output of ventilation equipment are dynamically adjusted through a formula, so that a set environment target value is met. The communication module is used for remotely transmitting data and instructions, and the user interaction module provides real-time data display and parameter adjustment functions. The system further comprises an energy-saving mode, and when the ventilation requirement is lower than a set threshold value, the operation frequency of the equipment is reduced so as to reduce energy consumption. In addition, the system has fault detection and alarm functions, and equipment abnormity is judged by monitoring operation parameters and a user is notified in time.

The invention relates to the technical field of dehumidification heat pumps, and particularly discloses a dehumidification heat pump unit with a chlorine and carbon dioxide detection function, which comprises a case, and an air inlet device, a fresh air device, an exhaust device, a heat exchange device and an air supply device which are arranged in the case, and further comprises a PLC (Programmable Logic Controller) control system and an integrated gas detection device electrically matched with the PLC control system; the integrated gas detection device is used in cooperation with the air inlet device and the heat exchange device, the integrated gas detection device comprises a chlorine gas detection module and a carbon dioxide detection module, and the heat exchange device comprises a compressor, an evaporator and a condenser; the PLC control system is electrically connected with the integrated gas detection device, the compressor, the fresh air device and the exhaust device and used for receiving chlorine and carbon dioxide concentration signals detected by the chlorine detection module and the carbon dioxide detection module. The fresh air device is regulated to increase the fresh air introduction amount and start the exhaust device to accelerate exhaust of waste gas in the swimming pool.

The invention discloses an Mg-Ni-Nd hydrogen storage alloy with poison resistance and regeneration performance, the Mg-Ni-Nd hydrogen storage alloy comprises Nd4Mg80Ni8, Mg and Mg2Ni phases at the same time, and after hydrogen absorption and desorption activation, the Mg-Ni-Nd hydrogen storage alloy is decomposed into Mg, Mg2Ni and NdH2.61 phases in situ; the content of Mg is 85-90%, the content of Ni is 6-10%, and the content of Nd is 2-5%. The invention discloses a simulated poisoning treatment and poisoning regeneration method of an Mg-Ni-Nd hydrogen storage alloy. The poisoning atmosphere is mixed gas of CO2 and H2; the regeneration atmosphere is pure H2 atmosphere. When the alloy is used as a hydrogen storage alloy, the maximum hydrogen absorption amount reaches 5.40 wt.%. When the alloy is used as an anti-poisoning hydrogen storage alloy, the cycle index is larger than 300 times, the maximum hydrogen absorption amount is 5.10 wt%, and the CO2 concentration in the poisoning atmosphere condition and the CO2 concentration in the air are the same order of magnitude. When the alloy is used as a renewable hydrogen storage alloy, the maximum hydrogen absorption amount is 5.29 wt.%, and the hydrogen absorption amount is recovered to 97.96% of the initial hydrogen absorption amount.

A soil carbon measurement device (100) can include a subsurface support (110) configured to be inserted at least partially under a soil surface. The subsurface support can include an interior volume (114) and a. gas-permeable barrier separating the interior volume (114) from soil under the soil surface. The device (100) can also include an ultraviolet light source (1.30) positioned to expose the soil under the soil surface to ultraviolet light, and a carbon dioxide sensor (150) configured to measure a concentration of carbon dioxide in the interior volume (114) of the subsurface support (110).

The invention discloses an ecological restoration area carbon sink increment real-time prediction method and system based on artificial intelligence, and the method comprises the following steps: multi-source data collection: obtaining a monthly vegetation coverage image through a satellite remote sensing platform, collecting the sensor data of soil temperature and humidity, air CO2 concentration and the like through a laid ground sensor network, and carrying out the real-time prediction of the carbon sink increment of an ecological restoration area; adopting an unmanned aerial vehicle laser radar to obtain vegetation canopy point cloud data according to a preset period, and collecting biomass actual measurement data of a restoration area in a historical preset age limit; preprocessing data, performing radiometric calibration, atmospheric correction and cutting splicing on a monthly vegetation coverage image acquired by a satellite remote sensing platform, and extracting a vegetation coverage and vegetation index time sequence; denoising, ground point separation and single tree canopy segmentation are carried out on vegetation canopy point cloud data acquired by the unmanned aerial vehicle laser radar, and the height and crown breadth of single plant vegetation are calculated. According to the invention, carbon sink increment prediction can be realized more accurately.

The invention provides fresh air equipment which comprises a fresh air opening, an air supply opening, an air return opening, an exhaust opening, a fan assembly, an indoor carbon dioxide concentration sensor and an outdoor carbon dioxide concentration sensor. The fresh air equipment comprises a generation part which is configured to establish a prediction model based on a detected indoor carbon dioxide concentration time sequence, and the prediction model can generate a predicted change rate of the indoor carbon dioxide concentration; a calculation section configured to calculate a concentration difference between the detected indoor carbon dioxide concentration and outdoor carbon dioxide concentration; and a control part configured to control the rotating speed of the fan assembly based on the predicted change rate and the concentration difference, including: for the same predicted change rate, increasing the rotating speed of the fan assembly as the concentration difference increases; for the same concentration difference, the rotating speed of the fan assembly is increased along with the increase of the predicted change rate; and for the decreasing predicted change rate, when the concentration difference is within the set stable difference value interval, the fresh air assembly is closed. The invention further provides an air conditioning system. The problem of fresh air interference can be effectively solved.

The invention provides a method for realizing direct mineralization of carbon dioxide in air by using natural ore. The method comprises the following steps: S1, crushing and activating natural ore to obtain an activated ore raw material; s2, the activated ore raw materials are fed into a mineralization reaction system, and air is introduced into the mineralization reaction system for a mineralization reaction; wherein the mineralization reaction system is carried out by adopting a gas-liquid reactor or a gas-solid reactor. According to the method, the mineralization reaction activity of the natural minerals in the mineralization reaction system can be enhanced, so that the problems of relatively low reaction speed and the like caused by relatively low concentration of carbon dioxide in the direct mineralization process of air are solved, and the mineralization reaction speed of the natural minerals reaches 10-100g CO2 / m < 2 >. H; the air carbon dioxide fixing amount in unit time and unit reactor sectional area can be obviously increased.

A controlled atmosphere cold storage device comprises a box body, a cold storage chamber is arranged in the box body, and the controlled atmosphere cold storage device is characterized by further comprising a refrigeration device used for controlling the temperature of the cold storage chamber, a nitrogen supply device used for supplying nitrogen to the cold storage chamber, a carbon dioxide supply device used for supplying carbon dioxide to the cold storage chamber and a control device used for executing instructions. The nitrogen supply device and the carbon dioxide supply device communicate with the refrigerating chamber. The modified atmosphere cold storage device is optimally designed on the basis of a vertical refrigerator, the gas cylinder, the gas monitoring sensor, the gas supply device, the humidifier and other key components are added on the basis of the vertical refrigerator, and the modified atmosphere refrigerator is obtained through optimization design. The refrigerator has the function of displaying parameters such as the temperature, the humidity, the oxygen concentration and the carbon dioxide concentration in the refrigerator, and a user can regulate and control the temperature, the humidity and the gas concentration in the refrigerator according to requirements and the display parameters, so that a proper environment is created for fruit and vegetable storage, and the fresh-keeping effect on fruits and vegetables is improved.

The invention discloses an automatic indoor air quality monitoring method, and belongs to the technical field of indoor air quality detection. According to the method, a first data set and a second data set are obtained by monitoring cells, air inlets and air outlets of a communication area and an indoor area, an air state model of the communication area and each indoor area is constructed, and a state transition probability and a state input probability are predicted and substituted into the air state model; and a state vector of the next state transfer step length is generated, so that the data processing amount of multi-region air quality monitoring is reduced, and the effect of prediction in advance is achieved. Furthermore, multiple components are monitored through an air state model, a negative parameter set is generated from the aspects of germ infection, lung harm, explosion danger and the like, the air quality negative index is evaluated, a positive parameter set is generated from the aspects of proper temperature and humidity, proper O2 concentration, proper CO2 concentration and the like, the air quality positive index is evaluated, and comprehensive monitoring of the air quality is achieved.

The invention provides an energy system for synthesizing green methanol based on biomass gasification and oxygen-enriched combustion, and belongs to the technical field of new energy. The energy system comprises an electrolysis system, an oxygen-enriched combustion system, a methanol synthesis system, a biomass gasification system and an ammonia-process carbon capture unit, an oxygen outlet of the electrolysis system is communicated with the oxygen-enriched combustion system, and a hydrogen outlet of the electrolysis system is communicated with the methanol synthesis system; oxygen generated by the electrolysis system is supplied to the biomass oxygen-enriched combustion system for supporting combustion, and hydrogen is supplied to the methanol synthesis system; a hydrogen outlet of the biomass gasification system is communicated with the methanol synthesis system; a carbon dioxide outlet of the oxygen-enriched combustion system is communicated with the methanol synthesis system through the ammonia-process carbon capture unit; the material energy flow of the energy system is adjusted through hydrogen generated by the biomass gasification system, and the adjusting flexibility of the energy system is improved; the concentration of carbon dioxide output by the oxygen-enriched combustion system is concentrated through the ammonia-process carbon capture unit, and the pretreatment requirement of methanol synthesis is met.

The invention relates to split type concrete stirring and CO2 mineralization equipment which comprises an upper layer module used for stirring concrete raw materials and a lower layer module arranged below the upper layer module and used for performing mineralization reaction, and the upper layer module comprises a first stirring barrel internally provided with a positive spiral stirrer. The lower-layer module comprises a second stirring barrel internally provided with an inverted spiral stirrer, and a gas outlet is formed in the middle of the inverted spiral stirrer so that CO2 can enter the second stirring barrel conveniently; a heating assembly, a temperature detection part, a CO2 concentration detection part and a pressure detection part are further arranged in the second stirring barrel. According to the invention, the design of matching of the positive spiral stirrer and the negative spiral stirrer is adopted, so that concrete raw materials are fully mixed within a short time, and material layering and uneven particle distribution are avoided in the stirring process; meanwhile, COgas is introduced into the second stirring barrel through the reverse spiral stirrer, so that the gas is in full contact with the slurry, and the optimization of mineralization reaction conditions is realized.

The invention belongs to the technical field of performance detection of air purifiers, and particularly relates to a formaldehyde decomposition conversion rate testing device and method for an air purifier, and the device comprises a testing cabin which is used for placing a testing prototype and filling formaldehyde gas; the formaldehyde gas source is communicated with the test cabin and is used for introducing formaldehyde into the test cabin; the circulation module is used for gas circulation in the test cabin; the temperature and humidity adjusting module is communicated with the test cabin, and the temperature and humidity adjusting module is matched with the circulation module to adjust the temperature and humidity of the gas; the formaldehyde concentration detection module is used for detecting the formaldehyde concentration in the test cabin; the carbon dioxide detection module is used for detecting the carbon dioxide concentration in the test cabin; and the tail gas treatment module is communicated with the test cabin and is used for treating and discharging gas in the test cabin after the test is finished. According to the invention, the formaldehyde decomposition conversion rate and the formaldehyde removal rate of the test prototype can be measured.