1388 results about "Co2 concentration" patented technology

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 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 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 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 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 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.

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 discloses an online analysis system based on hydrogen and methane expiration monitoring, and belongs to the technical field of respiration monitoring. Comprising a zero calibration module used for obtaining a first collection environment background carbon dioxide concentration; the original signal acquisition module is used for acquiring an expiration sample; the data processing module is used for processing the original signal data stream; the signal processing module is used for outputting the filtered concentration signal; the signal compensation module is used for obtaining the compensated hydrogen and methane concentration; the secondary zero calibration module is used for acquiring a reference carbon dioxide zero point; the baseline correction module is used for carrying out baseline correction; and the model building module is used for outputting trend judgment. By means of the online hydrogen and methane expiration analysis system, the technical effect that high-concentration precision is still kept under the expiration volume fluctuation and sensor nonlinear conditions is achieved, and the problem of measurement deviation caused by volume change, nonlinear response and carbon dioxide zero drift in the prior art is solved.

A system may include a flow valve coupled to a gas inlet of a landfill gas system and a pump coupled to the flow valve and configured to draw gas from the landfill gas system via the gas inlet. The system may further include an oxygen sensor comprising at least one laser configured to detect oxygen concentration in the gas, a carbon dioxide sensor comprising at least one infrared light source configured to detect carbon dioxide concentration in the gas, and / or one or more chemical sensors configured to sense concentrations of a respective one or more chemicals in the gas. A microprocessor may determine sensed data including at least the oxygen concentration, the carbon dioxide concentration, concentrations of the one or more chemicals, the static pressure, the atmospheric pressure, and / or a differential pressure, and communicate the sensed data to a mobile control device.

The invention discloses a greenhouse CO2 concentration partition regulation and control method based on fuzzy logic reasoning. The method comprises the following steps: S1, acquiring an environment parameter data set corresponding to each partition in real time through a sensor network deployed in a greenhouse; s2, performing data preprocessing on the acquired environment parameter data set of each partition; s3, determining priority weights of the partitions; s4, based on a greenhouse partition priority model and the preprocessed environment parameter data set of each partition; s5, calculating the target CO2 concentration range and the regulation and control amount of each subarea; s6, converting the target CO2 concentration range and the regulation and control quantity of each subarea into executable control signals, and executing CO2 concentration subarea regulation and control; and S7, monitoring the environmental parameter data of each partition in real time through the sensor network until the target range is stable. The adaptability to the crop growth environment is improved.

The invention belongs to the technical field of power transformer monitoring, and particularly relates to a transformer state comprehensive prediction and evaluation method and system based on decision cascade fusion analysis and a storage medium. Analyzing the concentration of the characteristic gas dissolved in the oil in different operation states according to the oil sample, and calculating the generation rate of the characteristic gas; the concentration of the characteristic gas dissolved in the oil is introduced into various fault diagnosis methods based on analysis of the gas dissolved in the oil according to different decision-making means to evaluate and predict the state of the transformer; and fusing the discharge fault judgment result or the overheating fault judgment result with the concentration ratio of carbon monoxide to carbon dioxide in the oil sample, judging whether an insulation system involved in the transformer state is a pure oil insulation system or an oil paper insulation system, and completing fault classification of the transformer operation state. According to the invention, the operation state of the transformer is accurately predicted.

The utility model belongs to the technical field of gas leakage detection, and particularly relates to a carbon dioxide on-site detection device and a carbon dioxide pipeline leakage detection system.The carbon dioxide on-site detection device comprises a ventilation duct, an alarm assembly and a controller, a carbon dioxide detection piece is arranged at the other end of the ventilating duct; the controller is electrically connected with the carbon dioxide detection piece and the alarm assembly. A carbon dioxide field detection device is arranged near a carbon dioxide conveying pipeline, the concentration of carbon dioxide around the carbon dioxide pipeline is detected in real time through a carbon dioxide detection piece, an alarm assembly comprises multiple alarm modes used for sending different alarm signals, and each alarm mode corresponds to different concentration threshold values of the carbon dioxide concentration. The controller is used for switching the corresponding alarm mode according to the concentration threshold value of the carbon dioxide concentration, so that the numerical value of the carbon dioxide concentration is visually reflected, and an operator can take corresponding treatment measures.

The invention relates to the technical field of environment control, in particular to an automatic control method and system for the environment in a breeding house, and the method comprises the following steps: collecting a temperature value, a humidity value, a carbon dioxide concentration value, a power consumption value, a water resource consumption value and a feed consumption value through a sensor in the breeding house, and carrying out the noise filtering treatment; and executing data normalization processing to obtain pre-processed data. According to the method, the difference between the index and the target value is calculated, and the multi-objective optimization function is combined, so that accurate adjustment of the control parameters is realized. Therefore, key indexes such as temperature, humidity, carbon dioxide level and energy consumption are continuously monitored, equipment operation parameters are optimized, and energy efficiency and environment quality are improved. Particularly, due to real-time identification and adjustment of high-energy-consumption equipment, energy waste is reduced, the stability of the breeding environment is ensured, potential risks caused by environment fluctuation are reduced, and the breeding efficiency is improved.

The invention discloses a cordyceps sinensis intelligent bionic cultivation control system and method based on the Internet of Things, and the method comprises the steps: collecting the temperature and humidity, gas concentration, illumination intensity and larva behavior data of a cordyceps sinensis matrix through a sensor network, and carrying out the fusion through an edge calculation gateway, and generating a dynamic environment map; constructing a plateau ecological digital twinborn model based on the dynamic environment map in combination with historical meteorological data and a host-strain interaction rule, and generating a staged control time sequence; based on a staged control time sequence, temperature and humidity coupling compensation is carried out through a feedforward-feedback composite algorithm, and actuator linkage is adjusted through fuzzy PID; aI vision is used for identifying a larva infection window period and accurate spraying is carried out, and hypha infection is monitored in combination with a near infrared spectrum to dynamically adjust the CO2 concentration; and constructing an LSTM (Long Short Term Memory) model to predict the growth risk in combination with a dynamic environment map and insect body monitoring data, and actively intervening in an abnormal environment. According to the invention, high-precision, dynamic and intelligent regulation and control of the growth environment of cordyceps sinensis are realized.

The invention provides a hydrogen water irrigation coupled carbon dioxide gas fertilizer application system and method, in the system and method, formic acid is used as a raw material to decompose and prepare hydrogen and carbon dioxide, and the decomposed hydrogen and irrigation water are mixed through an aeration head to form hydrogen water for farmland irrigation; the decomposed carbon dioxide is compressed into high-pressure carbon dioxide to be stored in a gas steel cylinder, and the high-pressure carbon dioxide is interlocked with a carbon dioxide gas detector in the greenhouse, so that the concentration of the carbon dioxide in the greenhouse can be supplemented and adjusted in real time, the coupling application of hydrogen water irrigation and carbon dioxide gas fertilizer is realized, and the growth of crops is promoted. The system and the method can reduce the use of chemical fertilizers, reduce environmental pollution and improve the soil structure, and conform to the green agriculture development concept.

The invention discloses a capture method for self-adaptive carbon dioxide concentration regulation and control, and belongs to the technical field of gas separation and capture. The method comprises the following steps: monitoring carbon dioxide concentration in real time through a gas sensor; dynamically adjusting adsorption parameters according to the concentration change, wherein the adsorption parameters comprise three working states including a low-flux adsorption mode, a self-adaptive adjustment mode and an enhanced capture mode; when the concentration is low, the airflow speed is reduced to 0.1-0.5 m / s; when the concentration is medium, the airflow speed is dynamically adjusted and the temperature of the adsorption bed is controlled through a PID controller; when the concentration is high, measures such as pressure increasing, temperature reducing or high-capacity adsorbent switching are taken; in the desorption stage, carbon dioxide is released in a variable-temperature or variable-pressure mode. The method solves the problems that an existing carbon dioxide capture system is low in energy efficiency due to fixed parameter control and cannot automatically adjust the adsorption rate under the concentration fluctuation working condition, the operation parameters can be automatically optimized according to the environment concentration change, and the capture efficiency and the energy utilization rate are remarkably improved.

According to the carbon dioxide concentration detection device based on optical fiber sensing and the storage monitoring system provided by the invention, the first optical fiber sensing unit with a modular structure is designed, so that the contact part of the sensitive coating and the optical fiber Bragg grating can be independently maintained and replaced, and the optical fiber reflection wavelength drift caused by the CO2 concentration change in the environment can be accurately detected. Meanwhile, a fiber bragg grating which is not covered with a CO2 sensitive coating is arranged as a reference, and wavelength drift mainly generated by environmental interference factors is detected. The influence of environmental interference factors on the wavelength drift of the CO2 optical fiber sensor can be eliminated by calculating the wavelength drift distance of the two fiber bragg gratings and combining the mathematical model of the wavelength drift distance and the CO2 concentration, and then the accurate CO2 concentration value is obtained. According to the invention, high-efficiency real-time monitoring of CO2 concentration in the geological storage process of CO2 is realized, and data accuracy and reliability are ensured. Moreover, the modular design facilitates the regular inspection and replacement of the sensor, prolongs the service life, reduces the maintenance cost, and is high in sensitivity, strong in stability, and good in maintainability.

The invention relates to the technical field of mine environmental protection, and discloses a gravel aggregate mine carbon emission real-time monitoring and metering method, which comprises the following steps: S1, multi-source sensing, including mining blasting monitoring, ore transportation monitoring and aggregate processing monitoring; s2, edge calculation, including data preprocessing, dynamic compensation calculation and local storage and communication; in the dynamic compensation calculation, the CO2 concentration is output and corrected in real time through a dynamic compensation algorithm, and the dynamic compensation algorithm comprises particulate matter dust drop, temperature and humidity deviation and vibration compensation; and S3, cloud platform processing is carried out, block chain evidence storage, carbon sink deduction calculation and early warning control are carried out, and the carbon sink deduction calculation is vegetation carbon sink absorption amount calculation deduction and waste rock recycling carbon emission reduction calculation deduction according to satellite data. The edge calculation layer adopts a dynamic compensation algorithm, temperature and humidity, vibration and particulate matter compensation items are fused in real time, and the hysteresis bottleneck of accounting is solved; a satellite-ground fusion deduction mechanism is adopted to construct a judicial-level trusted data chain.

The invention discloses a device and a method for preparing a negative carbon cementing material by a wind power suspension semi-dry method, and belongs to the technical field of comprehensive utilization of solid waste resources. The method for preparing the negative carbon cementing material comprises the following steps: keeping the humidity and CO2 concentration of a reaction system, and carbonizing the wet steel slag micro-powder in the reaction system while the wet steel slag micro-powder is in a suspended state under the action of wind power, so as to obtain the negative carbon cementing material. The CO2 storage rate of the prepared negative carbon cementing material is equivalent to that of wet carbonization, the CO2 storage rate of the negative carbon cementing material is 8-12%, and the bulk density is 1.05-1.2 g / cm < 3 >. In the preparation process, the water resource consumption is extremely low, no wastewater is discharged, and water resource waste and wastewater discharge pollution are avoided.

The invention discloses a carbonizer and a sparkling water machine, and relates to the technical field of beverage equipment, the carbonizer comprises a main body, the main body is circular, and a turbulent flow channel is arranged in the main body along the circumferential direction of the main body; wherein a plurality of turbulent flow columns are arranged in the turbulent flow channel in the extending direction of the turbulent flow channel, the cross section of each turbulent flow column in the length direction of the turbulent flow column is in a rhombus shape, a plurality of pairs of turbulent flow protrusions are further arranged in the turbulent flow channel in the extending direction of the turbulent flow channel, and the turbulent flow protrusions and the turbulent flow columns are alternately arranged. The turbulent flow columns are arranged on the bottom wall of the turbulent flow channel, and the turbulent flow protrusions are arranged on the side wall of the turbulent flow channel. According to the technical scheme provided by the invention, the impeller, the turbulent flow columns and the turbulent flow bulges are matched, so that the dissolution rate and solubility of carbon dioxide in water are improved, and the concentration of carbon dioxide in final finished product bubble water is improved.