5081 results about "Particulates" patented technology

The invention discloses a clean workshop production environment quality control method and system, and relates to the technical field of environment control, and the method comprises the steps: constructing a multi-layer sensing network, deploying temperature and humidity, particle concentration, pressure difference and VOC gas sensors, and carrying out the preprocessing data of each node through edge calculation; fusing the data based on a dynamic weight distribution algorithm, adjusting the weight according to the confidence score, and generating an environment quality comprehensive index; an LSTM pollution diffusion prediction model is established, a diffusion path is calculated in combination with airflow field simulation when pollution suddenly occurs, and an emergency response partition strategy is generated; fresh air system control parameters are optimized through reinforcement learning, a dynamic ventilation frequency adjusting model is established based on a real-time environment quality index and historical energy consumption data, and energy consumption is minimized through a Q-learning algorithm on the premise that cleanliness is guaranteed; a double-threshold early warning mechanism is set, local supercharging purification is started when a comprehensive index exceeds a first-level threshold, a second-level threshold is linked with adjacent areas to form a dynamic isolation barrier, and an intervention scheme effect is simulated through a digital twin system.

The invention provides a particulate matter and ozone source monitoring method and system based on a distributed sensor, and relates to the technical field of pollution treatment. According to the invention, sensor nodes with geographic perception capability are deployed in a monitoring area in a high-density manner, pollutant concentration and meteorological parameters are collected in real time, and data are uploaded to a cloud platform for preprocessing and dynamic calibration; a machine learning model is constructed based on the combined features of the pollutants and the meteorological factors, a driving relation is mined, and pollutant influence factors are extracted; further performing joint modeling on the influence factors and regional emission source data, identifying the coupling strength between pollutants and emission sources by adopting a classification or clustering method, and judging the categories of main sources; backward trajectory simulation, source fingerprint analysis and multi-source regression decomposition are combined to realize pollution path inversion and source contribution rate quantification; and finally, constructing a geographic information visualization platform, displaying a pollution thermodynamic diagram, a contribution change diagram and an evolution path diagram, and providing support for multi-source pollution traceability and scientific management and control.

The invention relates to the technical field of water pollution detection, in particular to a water quality pollution multi-dimensional analysis system which comprises the following steps: synchronously measuring an ultraviolet-visible absorption spectrum of a water sample to be detected and scattered light intensity in an orthogonal direction, and deducting spectrum baseline interference caused by suspended particulate matters in the water sample through a correction algorithm; the interferents in the water sample are selectively converted and degraded by applying a programmed potential to the inflowing water sample to be detected; the reverse pulse is periodically applied, so that the online regeneration function of the electrode is realized; analyzing the spectral data by adopting a multivariate correction algorithm, and calculating the concentration of the target pollutant; the calculation residual error of the multivariate correction algorithm is analyzed, new interference and system performance drift of current measurement are diagnosed, and a corresponding system state code is generated; and responding to the system state code, automatically starting and carrying out state checking and multi-point calibration on the instrument, and using a calibration result to update the analysis model. Through multi-dimensional perception and closed-loop operation, accuracy and reliability of water quality monitoring are guaranteed.

A material removal system includes a collection conduit having a distal end that is positionable adjacent particulate material. A primary particle separator system connected to the collection conduit separates quantities of particulate material entrained in an air stream. A secondary particle separator system connected to an outlet of the primary particle separator system separates additional quantities of particulate material entrained in an air stream exiting the primary particle separator system. An air pump connected to an outlet of the secondary particle separator system creates an airflow through the collection conduit and the primary and secondary particle separator systems. A conveyor system operatively associated with material discharge ports of the primary and secondary particle separator systems collects separated particulate material from the material discharge ports of the primary and secondary particle separator systems and transports the separated particulate material to a material discharge end of the conveyor system.

A pump side part for use with a centrifugal slurry pump for pumping a fluid mixture containing particulate matter, the pump side part comprising a main body having a main axis, the main body including a side wall section which extends laterally with respect to the main axis and has opposite facing first and second sides, a plurality of formations on a surface of the second side including an inner formation and an outer formation in spaced relation to the inner formation, the formations being configured so that in use the formations generate a flow of the fluid mixture across the surface which detaches from the surface the particulate matter adjacent thereto.

The invention relates to the technical field of optical particulate matter sensing, in particular to a particulate matter particle size recognition and concentration detection method. The method comprises the following steps: laser emitted by a laser forms a laser beam which is focused and then diverged through a lens; with a laser focus as a reference, at least two photosensitive devices are distributed in the light beam propagation direction and comprise a perifocus device and a far focus device, and receiving surfaces of the near focus device and the far focus device face laser beams to collect scattered light; scattered light signals of each device are collected, and are input into a processing unit after independent current / voltage conversion, signal amplification and analog-to-digital conversion; based on the characteristics that small-particle-size scattered light is preferentially captured by perifocus high irradiance and large-particle-size scattered light is preferentially captured by far focus large beam diameter, a mapping relation between particle sizes and channels is established; the number concentration and mass concentration coefficient of each channel is calibrated through standard particles, and synchronous detection of PM1.0, PM2.5 and PM10 is realized in combination with linear processing, so that the particle size recognition precision and the concentration measurement reliability are effectively improved.

The invention discloses a rotor punching and stacking welding defect identification system based on edge calculation, and relates to the technical field of rotor welding identification, and the rotor punching and stacking welding defect identification system comprises a data acquisition module which is used for carrying out real-time acquisition on smoke dust data generated in the welding process, and the smoke dust data comprises smoke concentration, suspended particulate matter concentration and smoke infrared thermal imaging temperature; the model matching module is used for comparing the smoke concentration, the suspended particulate matter concentration and the smoke infrared thermal imaging temperature with corresponding preset reference models respectively to obtain abnormal data with an abnormal trend; and the judgment module is used for performing time sequence analysis on the abnormal data, calculating a standard deviation and a mean deviation rate based on a sliding window, and generating a corresponding early warning growth value. According to the method, a dynamic alarm value generation and attenuation mechanism is constructed, so that false alarm caused by continuous influence of historical data is avoided, and the real-time response accuracy of the integrated value is improved. And through a pre-judgment mechanism, it is ensured that alarm value attenuation is executed only on the premise that data are stable or no early warning growth trend exists.

The invention provides a construction method and system of a rock-soil shear strength parameter prediction model, and relates to the technical field of model construction.The construction method comprises the steps that CT scanning data of a real rock-soil sample is obtained and preprocessed, and an irregular three-dimensional particle set for geometric modeling is obtained; performing particle surface roughness modeling analysis on the three-dimensional particle body set to obtain a surface roughness coefficient set of the three-dimensional particle body set; performing particle size cumulative distribution function segmentation processing and fractal dimension control on the surface roughness coefficient set to obtain a structure grading sample set; constructing a THMC multi-field coupling model based on the structure grading sample set to obtain a working condition particulate matter physical response parameter set; and performing a simulation experiment on the working condition particle physical response parameter set, and performing deep neural network modeling processing based on an experiment result to obtain a strength response model capable of predicting the cohesive force and the internal friction angle of the rock-soil body under any working condition input. According to the invention, the prediction efficiency and accuracy are significantly improved.

The invention belongs to the field of atmospheric environment particulate matter monitoring, and particularly relates to an atmospheric environment salt mist concentration real-time monitoring device and method. The monitoring device comprises a computer control module, a container and a buoy, a conductivity electrode, a temperature sensor, a displacement sensor, an air inlet pipe and an air outlet pipe are integrated on the top of the container, and the air outlet pipe is connected with a reciprocating cylinder with a piston and a limit switch. The monitoring method comprises the following steps: calibrating the initial volume V < initial > of liquid and the volume V < initial > of a reciprocating cylinder; circularly collecting the conductivity k0 and k1, the temperature T0 and T1 and the displacement D and Dtotal of the buoy before and after ventilation; correcting the salt mass increment delta M through the dynamic volume, and finally outputting the salt mist concentration C; according to the invention, the defects of inaccurate ventilation volume metering, solution density change and interference of moisture in high-humidity air on concentration monitoring in the prior art are overcome, full-automatic continuous monitoring of the salt mist concentration is realized, the measurement error is effectively reduced, the measurement precision and the monitoring capability are remarkably improved, and the method has relatively good environmental adaptability.

The invention discloses an urban particulate matter migration path identification method based on data fusion of a dynamic diffusion model and multi-source sensing. According to the method, firstly, multi-source pollution related data of a fixed monitoring station, a mobile monitoring device, a meteorological observation node and a traffic sensing system are collected, and standardized input is constructed after time synchronization, coordinate mapping and exception handling. And then establishing a hybrid dynamic diffusion model fusing a two-dimensional Gaussian plume model and a Lagrange particle tracking mechanism, and realizing assimilation of monitoring data and model output in combination with an improved particle filtering algorithm to obtain a correction concentration field. Based on concentration gradient analysis and particle trajectory superposition, a pollution migration path is extracted, then indexes such as a migration intensity index (MII), a path stability factor (PSF) and path average correlation are calculated, and recognition and sorting of a migration direction, a pollution source position and path stability are achieved. Meanwhile, an alpha dynamic weight factor is introduced, adaptive weighting is realized between the Gaussian model and the LPDM model, and the path strength and consistency are considered. Experimental results show that the method is superior to a traditional method in average absolute deviation (MAD) and hot spot overlap ratio (IoU) indexes, diffusion and migration rules of particulate matters under complex urban conditions can be more accurately revealed, and the method has important environmental governance and emergency management application value.

The invention discloses a modularized ultrapure water preparation and on-line monitoring system, which comprises a pretreatment module, a purification module, a monitoring module and a control module, and is characterized in that a dynamic monitoring end is arranged, and when ultrapure water preparation is monitored in real time, a multi-parameter fusion detection mechanism and self-adaptive threshold analysis are integrated; meanwhile, the abnormal state of the water quality is dynamically judged based on the conductivity, TOC and particulate matter data collected in real time, the sudden change risk of the water quality output by the purification module can be recognized in real time, error accumulation caused by traditional single-point monitoring is avoided, and therefore the purity detection reliability of the ultrapure water is improved; and the reverse osmosis unit and the electrode deionization unit of the purification module can immediately respond to the effluent parameter change of the pretreatment module, so that the hidden dangers of membrane blockage and recovery rate reduction caused by water quality fluctuation are reduced, and the energy consumption redundancy is reduced while the water quality stability is ensured.

The invention discloses a composite efficient heat dissipation type modular data center, and belongs to the technical field of data centers, the composite efficient heat dissipation type modular data center comprises a data module and a data cabinet body provided with a liquid cooling center and an air cooling center, an integrated data seat is arranged in the data cabinet body, and a liquid cooling pipe distribution chamber is arranged between the back of the integrated data seat and the data cabinet body; the integrated data base is provided with a plurality of module slots for the data modules to be inserted, and the side walls of the two sides of the opening of the data cabinet body are provided with wind blocking partition plates. Through the combined design of liquid cooling and air cooling, when a data module in the data center is burnt down due to a fault, particulate matters generated by the data module can be rapidly sucked away by strong suction force generated by the air suction opening in the air blocking partition plate and are discharged through the air backflow cavity; particulate matters generated by burning are prevented from being blown away by air cooling airflow and polluting adjacent health data modules, and the risk of secondary pollution and the cleaning difficulty in the maintenance process are greatly reduced.

The invention discloses an intelligent laser testing method, which relates to the field of laser testing, and comprises the following steps: judging whether a laser has a fault or not by monitoring the fluctuation amplitude of optical power at the initial stage of starting a to-be-tested laser to emit a light beam; after the laser is not judged to have a fault, the influence of environment heat radiation or aerosol particles on the light beam is positioned by collecting temperature gradient distribution data of a light beam propagation path and combining with air particulate matter concentration data; and obtaining a light beam drift direction, a drift speed and energy uniformity on a light beam propagation path based on the light spot image, determining an abnormal position according to changes of the light beam drift direction, the drift speed and the energy uniformity, and associating the abnormal position with the temperature gradient and the particulate matter concentration in real time. The method effectively distinguishes the fault of the laser from the environmental interference, accurately locates the abnormal position on the beam propagation path, and determines the main environmental interference factors causing the dynamic quality degradation of the beam, thereby providing an accurate basis for the performance evaluation of the laser and the optimization of the application environment.

The invention discloses a clean room particulate matter monitoring system and method based on temperature field information, and relates to the field of intelligent monitoring. The system comprises an environment detection module used for detecting real-time air parameters of a detected environment; the environment purification module is used for purifying the air of the detected environment; the motion module is used for moving the environment detection module and the environment purification module to a designated position according to an inspection instruction, and the inspection instruction comprises an inspection path or / and a temperature gradient change instruction; the control module is used for controlling the environment detection module, the environment purification module and the movement module; according to the invention, the newly found abnormal area can be intelligently planned and automatically incorporated into the existing inspection route, so that the robot can maintain the high efficiency of fixed path inspection, the autonomous and intelligent identification and dynamic path optimization capabilities are remarkably improved, the overall workload and detection time are greatly reduced, and the inspection efficiency is improved. And the monitoring efficiency and accuracy of the particulate matters in the clean room and the intelligent level of long-term maintenance are obviously improved.

The invention belongs to the technical field of atmospheric environment monitoring, and particularly relates to an unmanned aerial vehicle laser radar calibration quality control system and method, and the system comprises an unmanned aerial vehicle flight platform, a laser radar module, a navigation positioning module, a control communication module, a data processing module and a ground station. The unmanned aerial vehicle flying platform comprises a shockproof holder and a protective pod; the laser radar module comprises a laser radar, a scanner module and a photoelectric detector module. According to the invention, one unmanned aerial vehicle is adopted to carry various different types of laser radars, the extinction coefficient is measured by combining optical beam splitting, signal processing and algorithm inversion technologies, and atmospheric particulate classification is effectively monitored through cooperation of a high-precision optical system and an algorithm; the extinction coefficient and the depolarization ratio work cooperatively, high-precision quantitative analysis and classification of pollutants can be achieved, the combined measurement function of the extinction coefficient and the depolarization ratio is achieved, and high-resolution three-dimensional monitoring of atmospheric particulates is achieved through multi-parameter cooperative inversion of the laser radar.

The invention provides an inert gas generation system, and relates to the technical field of industrial gas production. The inert gas generation system comprises the following modules: a gas pretreatment module, an intelligent separation module, a dynamic purification module, a pressure regulation and control module, a quality analysis module, a safety control module and an energy efficiency optimization module, and the gas pretreatment module is used for removing particulate matters through an electrostatic dust collection device by adopting a multi-stage gradient filtering algorithm based on ambient air input, adjusting humidity by combining a dew point control technology, forming a standardized gas source and generating a standard gas source. Through combination of a multi-stage gradient filtering algorithm and a dew point control technology, collaborative treatment of particulate matters and humidity is realized, stable gas source input is formed, the reliability of a subsequent processing link is improved, membrane separation parameters are dynamically predicted by applying a convolutional neural network model, and the permeation efficiency of a hollow fiber membrane stack is optimized.

The invention provides an abnormal value screening method based on particulate matter component reconstruction, and relates to the technical field of environment monitoring. The method comprises the following steps: obtaining standard ion component data, standard carbon component data and standard inorganic element component data; obtaining a plurality of reconstruction component data; target PM2.5 data are determined; determining a doubt reconstruction component data judgment result of the plurality of reconstruction component data at each moment; determining a univariate time sequence abnormal point judgment result of each kind of reconstruction component data at each moment; determining a multivariable time sequence abnormal point judgment result of the multiple reconstruction component data at each moment; and determining whether the reconstruction component data at each moment is abnormal data. According to the method, the component reconstruction characteristics under different pollution levels can be evaluated, and the understanding of the model on the relationship among the particulate matter components is enhanced, so that the stability and accuracy of identifying whether the reconstructed component data is abnormal data are improved, the calculation efficiency is optimized, and environment monitoring auditing personnel are assisted to make decisions.

The utility model discloses a water treatment device adopting an ozone micro-nano bubble coupling electrochemical oxidation process. The water treatment device comprises an ozone generating device, a micro-nano bubble generating device, a BDD (Boron Drain Discharge) electrode unit and an air flotation filter tank device, the device has the following beneficial effects: (1) the Venturi jet device is adopted to release ozone micro-nano bubbles, so that wastewater and the micro-nano bubbles are fully stirred and mixed and are fully contacted with the BDD electrode for oxidative degradation, and the impact force formed by jet flow can wash the BDD electrode plate, so that the BDD electrode plate is prevented from being easily blocked; (2) an ozone micro-nano bubble technology and a BDD electrode technology are coupled to generate a synergistic effect, a large number of hydroxyl radicals are generated, the oxidation capacity is enhanced, the organic matter removal capacity is improved, and the sterilization, decoloration and deodorization capacities of the device on raw water are enhanced. And (3) the BDD is combined with an air flotation process, so that the occupied area is reduced, and the layout is optimized. And (4) fine particles in the water body are further removed by the air floatation superposition filter tank, and the concentration of suspended particulate matters is reduced.

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 CFD (computational fluid dynamics) simulation-based road construction environmental emission calculation method, and particularly relates to the technical field of environmental engineering and numerical simulation. The method comprises the following steps: establishing a three-dimensional physical model of a road construction environment emission system and determining a flow field computational domain; performing grid division on the three-dimensional physical model in a flow field calculation domain and establishing a grid structure internal association relationship; applying a mass conservation equation set, a momentum conservation equation set and an energy conservation equation set to the simulation model, and constructing a control equation system in combination with the turbulence model and the gas-solid two-phase flow model; setting boundary conditions such as an inlet, an outlet and a wall surface, and constructing an environmental emission simulation calculation model; actual data such as airflow velocity, temperature and particulate matter concentration of a road construction site emission source are collected and input into a simulation model for simulation calculation, a simulation result is compared with actually measured data through a relative error method, model verification is completed, and visual modeling and quantitative measurement and calculation of the road construction environment emission process are achieved.

The invention relates to the technical field of vehicle body treatment, in particular to an air shower for vehicle body dust removal treatment, which comprises an air shower room, a crane, an air curtain machine and a dust collection grid group. A sliding rail is arranged in the air shower room, the crane moves along the sliding rail through a sliding foot base, a guide strip is arranged on one side of the crane, a servo mechanical arm is slidably installed on one side of the crane, and a roller fan is installed at the tail end of the servo mechanical arm and used for conducting multi-angle blowing on different parts of a vehicle body. A plurality of air curtain machines are arranged on the other side of the crane, each air curtain machine comprises a motor, an axial flow rotary vane and an air opening structure with an adjusting brake, and the air curtain machines are used for forming a continuous linear air curtain to conduct large-area dust removal on the surface of the crane body. A dust collecting grid set is arranged in the air shower, and particulate matter in air is collected through a high-voltage electrostatic adsorption structure. The system can realize multi-dimensional dynamic blowing, accurate wind power control and efficient dust collection, improves the dust removal efficiency and the cleaning effect of the vehicle body, and is suitable for automatic cleaning scenes in the field of vehicle manufacturing and maintenance.

The invention relates to the technical field of carbon monoxide concentration detection, in particular to an industrial flue gas carbon monoxide concentration detection device which comprises an industrial flue gas detection mobile device, and a carbon monoxide concentration infrared detection device and a data analysis processing device are arranged above the industrial flue gas detection mobile device. The device has the beneficial effects that the comprehensive sealing plate is arranged in the flue gas suction probe, the particulate matter treatment frames are matched to guide gas by utilizing a streamline fin-shaped structure, and based on the inertia principle, large particulate matters deviate from a main stream and are pushed and dispersed to particulate matter diversion grooves on the two sides of an airflow particle separation guide sheet; small particulate matters are filtered by the filter disc, and then the gas is guided and dispersed in the heat dissipation and cooling process through the particulate matter treatment frame and is in contact with the water absorption silica gel pad, so that most of moisture can be absorbed, and the aim of pretreating the industrial flue gas in the flue gas suction probe sampling process is fulfilled.

The invention relates to the technical field of intelligent control, in particular to a breeding feed mixing control method and mixing equipment, and solves the technical problem of poor mixing quality caused by physical property difference of raw materials in the prior art. The method comprises the following steps: monitoring component composition and particle physical form of a mixed material in a mixing process and stirring parameters of mixing equipment; the mixing process comprises the following steps: stirring the dry materials in the mixing equipment, and adding liquid by spraying; the components are obtained through near infrared spectroscopic analysis; the physical form of the particulate matter is obtained through image analysis; analyzing the influence of the stirring parameters on the mixing quality based on the component composition, and determining a correction coefficient of the operation parameters of the mixing equipment in combination with the physical form of the particles; and regulating and controlling the current operation parameter of the mixing equipment according to the correction coefficient, so that the mixing equipment operates according to the regulated and controlled target operation parameter.

The invention provides an ambient air particulate matter sampling method and device, and the method comprises the steps: collecting the flow velocity data of a dust-containing air flow passing through an interstage flow channel, and determining the flow velocity gradient and a flow velocity sudden change region of the dust-containing air flow according to the flow velocity data; identifying energy dissipation of the dust-containing airflow under the action of viscosity of the inner wall of the interstage flow channel based on the pressure data and the flow velocity abrupt change area, determining deposition accumulation loss of particulate matters in the dust-containing airflow through all the energy dissipation, and predicting a critical separation point of the dust-containing airflow separated from the inner wall of the interstage flow channel according to the deposition accumulation loss and the flow velocity gradient. The method comprises the steps of obtaining a critical separation point of an interstage flow channel, determining a reflux coercive rate after the critical separation point, extracting an interstage particle escape rate of the interstage flow channel through the reflux coercive rate, adjusting the interstage flow channel according to the interstage particle escape rate, and collecting particles in the dust-containing airflow according to the adjusted interstage flow channel. The flow channel structure of the sampling device can be adjusted by predicting the loss mechanism of particulate matters in the airflow impact process.

The invention relates to the technical field of nano particle heterogeneous reaction kinetic research, in particular to a nano single particle reaction rate measuring system and method based on optical surface wave dark field imaging. The method comprises the following steps: preparing a nano single particle sample; the humidity of the environment where the nano single particles are located is adjusted; starting a heterogeneous reaction of the nano single particulate matter, performing in-situ dark field imaging on the nano single particulate matter in the reaction process, and collecting scattering hot spot imaging data under different reaction times and different humidity; and based on the acquired imaging data, the reaction rate of the nano single particulate matter is inversed in combination with a kinetic model. According to the invention, the defects in the existing nano-particle reaction rate measurement technology can be overcome, and the reaction rate of a single particle as low as 50 nanometers in the heterogeneous reaction process can be accurately measured and inverted under the high-humidity standard atmospheric pressure condition.

A laundry appliance includes a cabinet defining an opening. A drum is disposed within the cabinet and defines a processing space. A blower directs process air through an airflow path that includes the drum. A door is operably coupled to the cabinet. The door is operable to an open position that provides selective access through the opening and into the drum. A foreign particulate collector is operably coupled to the door. The foreign particulate collector includes a collection material configured to collect foreign particulates within the drum.

The utility model discloses a backflow type icing wind tunnel capable of simulating a sand-containing ice crystal-containing environment, which belongs to the technical field of wind tunnels and comprises a wind tunnel body, a liquid particulate matter injection system, a solid particulate matter injection system, a phase change particulate matter injection system, a temperature control system, a pressure control system and a plurality of power systems. The wind tunnel body is sequentially provided with a stable section, a contraction section, a test section, a first expansion section and a second expansion section, and the liquid particulate matter injection system and the solid particulate matter injection system are both installed on the stable section. According to the backflow type icing wind tunnel capable of simulating the sand-containing and ice-crystal-containing environment, the content of sand and dust, the content of ice crystals and the content of liquid water in the wind tunnel body can be adjusted, and the temperature in the wind tunnel body can be adjusted, so that more complex weather can be simulated in the wind tunnel body, the accuracy of experimental data is ensured, and the experimental efficiency is improved. Therefore, the reliability and the safety of the aircraft in an extreme environment are improved, and the test efficiency is improved.

The invention relates to the technical field of pollutant monitoring, in particular to an industrial solid waste blending combustion pollutant intelligent monitoring system which comprises a data fusion module, a diffusion judgment module, a concentration prediction module, a risk monitoring module and an early warning distribution module, and the trend of particulate matter and gas monitoring data is analyzed based on a blending combustion reaction furnace outlet and a smoke exhaust pipeline section. According to the invention, through combined processing of multi-point time sequence monitoring data, various pollutants and environmental parameters are collected in real time, precise spatial partitioning of a monitoring object, coupling analysis based on meteorological factors and spatial diffusion characteristics, dynamic identification of response differences of pollutants in each area of a factory, and through extraction of a concentration change interval and a risk trend signal, a real-time monitoring result is obtained. According to the method, emission risk types are subdivided, graded intervention information is generated, the response speed and the judgment capability of abnormal states of pollutants under complex environment disturbance are improved, dynamic adaptation and detailed management and control of an intelligent monitoring system are promoted, and high-reliability decision making of emission control in various scenes of a plant area is further supported.

The invention relates to the technical field of intelligent warehousing, in particular to a multi-grading granule automatic output system and a using method, a discharging port of a discharging hopper is always located at the rotating center of a second-stage climbing belt conveyor relative to a horizontal belt conveyor, and the falling material stress receiving position of the horizontal belt conveyor is not changed; a discharging hopper on a horizontal belt conveyor is positioned through a discharging hopper laser positioning instrument, and the position of equipment with walking and shoveling functions is accurately solved in cooperation with angles measured by a discharging hopper angle encoder and a traction hole angle encoder; particulate matter monitoring of the stock bin and the collecting hopper is carried out through the three-dimensional laser scanning radar, the high-position laser range finder and the low-position laser range finder, a sensor for detection does not need to be arranged on equipment with walking and shoveling functions, and the equipment with the walking and shoveling functions can be positioned without depending on the sensor arranged on the equipment; therefore, even if a large amount of dust is generated in the particle material conveying process, automatic operation of the output system cannot be hindered.

The invention discloses a soil remediation device, and relates to the field of environmental protection, the soil remediation device comprises a remediation cylinder, a supporting roller is fixedly arranged on the circumferential outer wall of the remediation cylinder, a transmission gear is mounted on one side of the supporting roller, a feeding cylinder is fixedly arranged at one end of the remediation cylinder, a connecting disc A is fixedly arranged at the other end of the remediation cylinder, and a drying pipe is inserted into the remediation cylinder in a penetrating manner; a disturbance wall scraping mechanism is fixedly arranged on the outer side wall of the drying pipe, a connecting disc B is fixedly connected to the end of the connecting disc A, a filter cylinder is fixedly connected to the end of the connecting disc B, an air spraying pipe is arranged on the disturbance wall scraping mechanism, a material turning piece is fixedly arranged at the end of the air spraying pipe, and a disturbance piece is fixedly connected to the end of the material turning piece. According to the soil remediation device, the technological process is simplified, and the investment cost is reduced; the heat and mass transfer efficiency is enhanced, the specific surface area of crushed small-particle materials is increased, high-temperature gas can make more sufficient contact with the materials, and thorough drying work is achieved after hardened soil is crushed.