375 results about "Contamination control" patented technology

The invention relates to the technical field of environment monitoring, in particular to an underground water pollution real-time monitoring method and system, and the method comprises the following steps: analyzing the underground water flow direction and original pollution records in geographic information, combining the geologic structure and hydrological characteristics of a monitoring area, and through the water flow propagation characteristics; and marking the position of the pollution source and matching the pollution range to generate a matching result of the pollution source and the range. According to the invention, the underground water flow direction, the pollution record and the geological and hydrological characteristics are analyzed, the position and the range of a pollution source are accurately marked, the identification precision and the monitoring pertinence are improved, monitoring points are deployed at key positions, diffusion information is extracted in real time, an early warning threshold value is dynamically generated, early warning is issued in time, and emergency response is started, so that the pollution control efficiency is improved; rapid development of isolation and water quality treatment is ensured, closed-loop adjustment and optimization of monitoring parameters are realized, so that the method dynamically adapts to environmental changes, and comprehensive control of groundwater pollution is realized.

The invention provides an intelligent runoff pollution monitoring and response method and system, and the method comprises the steps: arranging a plurality of monitoring points in a runoff region, collecting water quality, hydrological and meteorological data in real time through a sensor, transmitting the data to a data processing center through a wireless network, carrying out the preprocessing, storage and analysis, and calculating the comprehensive pollution index of each monitoring point. And comparing with a set index threshold value. When the comprehensive pollution index exceeds a threshold value, the system identifies and evaluates key water quality parameters so as to determine a reasonable parameter threshold value; once data of a monitoring point exceeds a preset pollution threshold value, an alarm mechanism is triggered, then a pipe network water flow model and a geographic information system are combined to reversely track a pollution path, accurately position a pollution source and provide a basis for pollution control, and the process comprises the steps of screening suspected pollution source nodes, calculating a propagation path probability and preferentially checking a high-probability path. The traced pollution source or path probability is lower than a preset value.

A watershed pollution control measures optimization method employing response surface methodology coupled with a genetic algorithm, the method relating to the cross-disciplinary field of environmental engineering, environmental system simulation and prediction technology, and computer technology. The present invention solves the problem of low optimization efficiency in existing optimization methods. The invention comprises: by using known data, establishing a geographic database for an area; by using the geographic database, calculating a single load of each pollution source, and accordingly calculating the load reduction amount of each pollution source in a single control measure scenario; calculating the total nitrogen pollution load reduction rate and the total phosphorus pollution load reduction rate, and computing the total economic benefit in the single control measure scenario; setting the maximization of the economic benefit, total nitrogen load reduction rate, and total phosphorus load reduction rate as objectives, and establishing a regression function by adopting response surface methodology; and by adopting an NSGA-II genetic algorithm, performing multi-objective optimization on the regression function, and selecting an optimal management measure for a watershed to undergo pollution control. The present invention is suitable for optimizing pollution control measures for a watershed.

The invention relates to the technical field of atmospheric environment monitoring, in particular to an atmospheric pollution source tracking and early warning system based on deep learning, which comprises a multi-source data acquisition layer for acquiring multi-dimensional data of atmospheric pollutant concentration, weather, geography and the like through multi-element equipment such as satellite remote sensing and ground sensors; the data preprocessing layer completes data cleaning by using a statistical method and a machine learning algorithm, and realizes heterogeneous data standardization processing through feature extraction, multi-source integration and space-time alignment, and the deep learning model layer realizes heterogeneous data standardization processing by means of a space-time convolutional neural network, a graph neural network and a long-short term memory network in combination with a space-time attention mechanism. The traceability analysis layer is combined with a back diffusion algorithm and a geographic information system to position a pollution source and generate a thermodynamic diagram. And the early warning decision-making layer sets threshold early warning through transfer learning of the adaptive area, and generates an optimal pollution control scheme based on reinforcement learning.

The invention discloses a non-point source pollution and waterlogging collaborative four-pre management and control system based on short temporary rainfall forecast, which relates to the technical field of urban water environment management and comprises a short temporary rainfall forecast module, a non-point source pollution control module, a waterlogging management module, a four-pre management and control platform, an intelligent decision support system, a real-time monitoring and feedback system and a water ecological management module. By integrating meteorological monitoring, hydrological monitoring and environment monitoring data, high-precision short and temporary rainfall forecast is realized by using a machine learning algorithm, the operation strategies of the intelligent catch basin and the initial rain storage pond are dynamically adjusted to control non-point source pollution, and meanwhile, the waterlogging risk is predicted and preventive measures are taken in combination with real-time hydrological data. According to the technology, integrated management of forecasting, early warning, rehearsal and plans is achieved through a four-pre-management and control platform, an intelligent decision support system, a real-time monitoring and feedback system and a water ecological management module under the sponge city design concept are used in an auxiliary mode, and the efficiency and effect of urban water environment management are comprehensively improved.

The invention discloses a water quality detection system and detection method for groundwater resource assessment, and relates to the technical field of environmental monitoring, the method comprises the following steps: obtaining multi-source data of groundwater in a target area through a sensor network, and combining environmental parameters to carry out data fusion to generate a comprehensive result; performing water quality scoring based on the fused data, constructing a water quality spatial distribution diagram, and predicting a water quality change trend; and determining a pollution source according to trend data tracing, formulating a pollution control scheme in combination with multi-source data, and generating a treatment suggestion. The technical problem of insufficient water quality detection precision in existing groundwater resource evaluation is solved, and the technical effect of performing high-precision detection and comprehensive evaluation on groundwater quality data is achieved.

The invention relates to the technical field of intelligent control, in particular to a control method and system of ultrasonic cleaning equipment and the cleaning equipment. The method comprises the steps that feature information of a cleaned object, the output power of the cleaning equipment and the concentration of a cleaning medium are obtained; constructing a material feature vector according to the feature information of the cleaned article; material feature parameters are calculated according to the material feature vectors; pollution factors are calculated according to the material feature vectors and the material feature parameters; calculating a pollution degree value according to the pollution factor; judging the pollution type according to the pollution degree value; power parameters are calculated according to the output power, the cleaning medium concentration and the pollution degree value; pollution control parameters are calculated according to the material characteristic parameters and the pollution factors; optimal cleaning control parameters are calculated according to the pollution control parameters, the power parameters and the pollution factors; and matching the optimal cleaning mode according to the pollution type and the optimal cleaning control parameters. According to the method, the optimal cleaning parameters can be selected to clean the cleaned articles.

The invention relates to the technical field of environmental protection and pollution control, in particular to a soil pollutant on-line monitoring and risk assessment method and system.The method comprises the steps that soil pollutant monitoring areas are divided, and high-precision sensors are deployed, so that the accuracy and reliability of monitoring data are improved; the fluctuation condition of the pollutant concentration is calculated and analyzed according to historical data, a reasonable sampling frequency is determined, and the concentration change can be better captured; by establishing a composite risk assessment function, the risk level of a sampling point is assessed more comprehensively and accurately; the prevention and control measure intensity and range corresponding to the sampling point are dynamically adjusted according to the change of the composite risk assessment value, and the timeliness and effectiveness of prevention and control work are ensured. The method is used for solving the technical problems of low monitoring efficiency, poor risk assessment and lack of pertinence of prevention and control measures caused by no online monitoring of the pollutant concentration in soil and no quantitative assessment of the soil pollution risk in the existing scheme.

The invention discloses a lake eutrophication biological treatment system and a dynamic method based on multi-dimensional cooperative regulation and control. Exogenous pollution control, layered biological manipulation and artificial intelligence dynamic feedback are fused, and the method is particularly suitable for moderate eutrophication water bodies with nitrogen and phosphorus exogenous input not completely cut off. According to the gradient filling structure, macromolecular organic matters are intercepted by using shallow coarse particles, and middle / fine particles specially attack phosphate adsorption, so that graded removal of pollutants is realized; fish ingestion and benthic organism disturbance have a synergistic effect, secondary pollution of aquatic plant litter degradation to a water body is reduced, transfer of nitrogen and phosphorus from the water body and plant litters to animal objects is promoted, and the coupled system can reduce the phosphorus release rate of bottom mud, improve the stability of FePO4 precipitation and synchronously degrade sulfides and organic matters in the bottom mud; electric shock damage to benthic organisms is avoided through the micro-current intensity, sulfur metabolites can be used as a nutrient source of submerged plants, and biological self-purification and resource utilization of eutrophic water are achieved.

The invention relates to the technical field of mine vegetation state monitoring, in particular to a mine restoration vegetation state monitoring method and system, and the method comprises the steps: dividing a plurality of height intervals according to the altitude distribution of a mine; dividing closed areas with altitudes in the same height interval in the mine into monitoring areas; collecting the heavy metal concentration of each monitoring area and determining the average heavy metal concentration of a plurality of monitoring areas in the same height interval; analyzing the change trend of the average heavy metal concentration, and determining whether the mine has pollution diffusion characteristics or not; acquiring a remote sensing image of each monitoring area, determining the NDVI of each monitoring area, and determining the average NDVI of a plurality of monitoring areas in the same height interval; determining whether the cause of pollution diffusion characteristics is planting density difference according to the average NDVI of each height interval; the possible pollution diffusion trend can be recognized in time, and data support is provided for pollution control measures and vegetation restoration strategies.

The invention discloses an overflow pollution control storage pond evaluation method based on full-life-cycle carbon emission. The method comprises the following steps: 1, selecting an intercepting-type combined-system overflow port; 2, sampling overflow sewage under typical rainfall according to time periods to obtain the water volume and quality change rule of the overflow sewage; 3, establishing an overflow pollution model; 4, calibrating and verifying the overflow pollution model; 5, performing simulation analysis on overflow pollution load control effects of the regulation and storage tank under different layouts, designs and operation schemes by using the overflow pollution model; 6, on the basis of the emission reduction effect of the regulation and storage pool on the overflow pollution load, the carbon emission amount of the regulation and storage pool in the operation process under the rainfall intensity in different recurrence periods is calculated; 7, the total carbon emission amount of the whole life cycle of the regulation and storage pond is obtained; and 8, by taking the overflow pollution load reduction amount as a denominator, calculating to obtain the reduction unit overflow pollution load carbon emission intensity. According to the method, the efficiency of the CSO regulation and storage tank is evaluated from the aspect of carbon emission, and support is provided for scheme optimization of the regulation and storage tank.

The invention discloses a method and system for evaluating the influence of long-term fertilization on rice field soil heavy metals, and the method comprises the steps: obtaining rice field soil data through a sensor, and obtaining a standardized soil physicochemical property data set and a heavy metal content data set; according to the standardized soil physicochemical property data set and the heavy metal content data set, obtaining a feature vector set reflecting correlation between soil physicochemical properties and heavy metal behaviors; aiming at the feature vector set, obtaining a prediction model for representing the influence of the fertilization mode on the heavy metal mobility; if the heavy metal effective state content output by the prediction model exceeds a preset bioavailability threshold value, classifying the soil physicochemical property data set, judging the influence weight of the soil pH value and the organic matter content on the cadmium mobility, and obtaining the classified soil environment risk grade; and according to the classified soil environment risk levels, obtaining comprehensive rice field soil heavy metal pollution evaluation indexes. The pertinence and effectiveness of pollution control are remarkably improved.

The invention provides an intelligent maintenance cleaning device for nanofiltration membrane pollution control and a method thereof, and solves the problems of low maintenance cleaning efficiency, poor adaptability of cleaning parameters and pollution conditions and frequent chemical cleaning of an existing nanofiltration system. Belongs to the technical field of membrane pollution control. According to the invention, the filtering system, the cleaning system and the intelligent decision-making module are integrally designed, so that the closed-loop control of the whole process of real-time monitoring, pollution identification, intelligent decision-making and automatic cleaning of the running state of the nanofiltration membrane is realized. The cleaning effect gating memory neural network model is used as a membrane pollution prediction model, membrane pollution can be accurately predicted, and key cleaning nodes can be identified. The optimal membrane cleaning parameters are generated by adopting a non-dominated sorting genetic algorithm, the usage amount of chemical agents and the cleaning cost are reduced, and the membrane pollution control effect is improved. The invention is applicable to the field of drinking water treatment.

The invention relates to the technical field of data processing, and discloses a rainfall runoff pollution early warning system and method.The system comprises a sample analysis module, a pollutant model construction module, a water quality prediction module, an early warning signal generation module and a pollution control module; carrying out physicochemical property analysis on the pavement sediment sample and the rainfall runoff sample of the service area to obtain pollutant concentration data and pollutant composition data; constructing a pollutant migration and transformation model based on dynamic changes of pollutants in the pollutant concentration data and the pollutant composition data in the runoff process; hydrology and hydrodynamic force of the service area are predicted based on the pollutant migration and transformation model, and runoff water quality change trends under different rainfall scenes are obtained; when the water quality prediction index in the flow water quality change trend exceeds a pollution early warning threshold value, a pollution early warning signal is generated; the pollution early warning signal is pushed to a management terminal, and a corresponding runoff pollution control measure is triggered; the rainfall runoff pollution early warning method can improve the accuracy of rainfall runoff pollution early warning.

The invention provides a cyanide-containing wastewater resource recovery and cyclic utilization method, and belongs to the technical field of environmental protection and water treatment. According to the method, firstly, copper is collected through sulfuration under the weak acid condition with the pH being 5-6, so that a copper-cyanogen complex ([Cu (CN) 43-]) in wastewater is converted into a mixed material of copper sulfide (CuS) and cuprous cyanide (CuCN), and primary recovery of copper is achieved; and then, adding a pH regulator 2 to control the pH of the reaction system to be 9-11, adding a separation agent to control the ORP of the reaction system to be-400mV to-200mV, and carrying out a separation reaction. In the process, cuprous cyanide reacts with free cyanide (CN <->) to generate a soluble copper-cyanogen complex, and copper sulfide is retained, so that cuprous cyanide is accurately separated from the copper-containing material, the content of cyanide in the material is reduced, and the obtained copper-containing material meets the requirements of industrial product quality standards and pollution control standards; the problems that in the prior art, the cyanide content in the copper-containing material obtained by recycling copper from the cyanide-containing wastewater exceeds the standard, and the environmental risk is high in storage, transportation and comprehensive utilization are solved.

The invention relates to a method for reducing nitrate nitrogen in wastewater into ammonia nitrogen by using a double-bacterium inoculant and application of the double-bacterium inoculant. The method comprises the following steps: respectively carrying out expanding culture, washing and resuspending on electron donating bacteria and dissimilatory nitrate reduction ammonium-producing bacteria, and then mixing in a co-culture medium for co-culture to form a double-bacteria microbial inoculum; the co-culture medium containing the double-bacterium agent is introduced into wastewater to be treated, and nitrate nitrogen in the wastewater is reduced into ammonia nitrogen in an anaerobic environment. According to the method, nitrate nitrogen in the wastewater can be reduced and converted into energy storage substances with high energy density, the problems of low utilization rate of ammonium nitrogen fertilizer and non-point source pollution can be solved, and the method has important value for nitrogen pollution control and agricultural green sustainable development.

The invention relates to the technical field of environmental monitoring and pollution control, in particular to a dust and noise online control system, which comprises a monitoring module, which is used for acquiring data of dust concentration C, particle size D, dust raising position P, noise level N and frequency F through video monitoring equipment and various sensors; the data communication module is responsible for transmitting the data to the central control system; the central control system constructs a fuzzy control rule base according to the dust-related data, adjusts parameters of dust removal equipment in combination with a PID algorithm, and controls noise reduction equipment by adopting an adaptive filtering algorithm according to noise data; the risk assessment and early warning optimization module uses a risk assessment model to calculate a risk grade R and performs graded early warning; the governance execution module comprises a dust hood, a sprayer and noise reduction equipment and carries out dust and noise governance according to an alarm, and the air volume regulation module regulates the air volume of a dust suction port through a neural network algorithm by means of feedback of a sensor on a regulation valve; the invention aims to solve the problems of effective monitoring, precise treatment and scientific early warning of dust and noise.

The invention discloses a method for controlling membrane pollution of an anaerobic membrane bioreactor (ANMBR) by jointly adding a biosurfactant and a filler, the ANMBR is used for treating municipal sewage, the biosurfactant and the filler are added into the ANMBR, and a membrane component and a mechanical stirring device are arranged. The membrane pollution control process is as follows: a biological surfactant with a certain concentration and a filler with a certain volume ratio are jointly added into the reactor. According to the invention, the biosurfactant is added into the AnMBR reactor to promote the dissolution of viscous substances and insoluble substances in a sludge mixed solution, and dissolved organic molecules are wrapped by micelles formed by the surfactant, so that the contact between organic pollutants and the membrane surface is reduced. Further, filler is added, so that the attachment of sludge flocs in the suspension and the adsorption of biosurfactant solubilizing substances are facilitated, the concentration of the sludge flocs, organic matters and other substances in the mixed solution is reduced, and finally, the membrane pollution of the AnMBR is effectively retarded on the premise of ensuring the remarkable operation efficiency of the reactor.

The invention discloses a drainage basin non-point source pollution control and river water environment improvement system and an operation process thereof. The system comprises a main river channel, a closed area internal purification system and an intelligent control system. The automatic monitoring station in the main river channel monitors the water quality of the monitoring section and transmits data to the intelligent control system, and the intelligent control system is connected with the purification system in the closed area and controls the opening of the purification system in the area according to a monitoring result. The system can purify agricultural non-point source pollution and industrial sewage and domestic sewage point source pollution in the closed area by detecting the water quality of the river channel and regulating and controlling the water quantity of the river channel, promotes healthy development of a river ecosystem, scientifically, accurately and efficiently optimizes a purification system in the closed area by utilizing an intelligent control system, and improves the purification efficiency of the closed area. Therefore, the water quality monitoring section stably reaches the standard. The system has the advantages of convenient operation, stable performance, long-term efficient operation management and the like.

The invention relates to preparation and application of an environment-friendly flower and nursery stock culture medium, and relates to the technical field of waste resource utilization and non-point source pollution control, the environment-friendly flower and nursery stock culture medium comprises the following components by volume: 30-40 parts of garbage humus soil; 10-20 parts of a mineral material; 6-8 parts of functional bacteria; and 20-25 parts of tea leaf residue. The invention relates to an application of an environment-friendly flower nursery stock culture medium in resource utilization of mineralized refuse humus soil and green nursery stock culture of the mineralized refuse humus soil. According to the method, resource reutilization of the garbage humus soil as the nursery stock cultivation medium can be achieved, environmental emission of pollution factors such as carbon, nitrogen, phosphorus, heavy metal and micro-plastics in the medium cultivation process is effectively reduced by regulating and controlling formula raw materials and composition of the cultivation medium, and green and low-carbon utilization of the garbage humus soil is achieved.

The invention discloses an intelligent intercepting well optimization control method based on overflow pollution load prediction, and the method comprises the following steps: S1, building a drainage pipe network model according to the data of a pipe network communicated with all intercepting wells, and completing the parameter calibration of hydrology and water quality in rainy days; s2, forming a control strategy scheme library containing all the intercepting wells; s3, a machine learning model is used for training, and the machine learning model of overflow pollution loads and decision variables under different rainfall conditions is established; s4, constructing an overflow pollution load value machine learning model under different rainfall conditions, and predicting an overflow pollution load minimum value under different rainfall sessions; and S5, based on the minimum value of the overflow pollution load, predicting the optimal control strategy of the control variables of all the intercepting wells by using the machine learning model of the overflow pollution load and the decision variable under different rainfall conditions. By optimizing the control strategy of the catch basin, overflow pollution control of the drainage system is achieved, and the operation efficiency of a pipe network in rainy days is improved.

The invention provides a bacteriostatic proppant technology based on a palladium oxide-reduced graphene oxide composite material, aiming at the problem of hydrogen loss caused by microbial activity in a hydrogen storage bank of an exhausted gas reservoir. A PdO (at) rGO composite material functionally modified by lead ions (Pb < 2 + >) is loaded on the surface of a porous ceramsite carrier to form an adsorption-inactivation-blocking synergistic antibacterial network; precise laying of the proppant in a crack network is achieved through the end sand removal technology, hydrogen consumption is reduced, and an efficient, economical and environment-compatible innovative solution is provided for biological pollution control of the underground hydrogen storage library.

The invention relates to a calcium-based difunctional composite material and a preparation method and application thereof, the calcium-based difunctional composite material is applied to pollution control in a sludge-low-rank coal co-pyrolysis process, the calcium-based difunctional composite material is composed of Ca2Fe2O5 and an adsorptive material, and the mass ratio of Ca2Fe2O5 to the adsorptive material is 1: 1. According to the calcium-based bifunctional composite material, the fixation rate of sulfur in pyrolytic carbon is remarkably increased, conversion of heavy metal to a more stable form is facilitated, and the leaching capacity and potential ecological risks of the heavy metal are remarkably reduced.

The invention discloses a preparation method of a catalytic oxidation peroxyacetic acid self-release oxygen membrane and application thereof in the field of water treatment, and belongs to the technical field of water pollution control. The invention aims to solve the problems of unbalanced release rate and oxidation activity, self-decomposition loss of an oxidant, secondary pollution risk, and insufficient dynamic cleaning and long-acting anti-pollution capability in the traditional oxygen release technology. According to the invention, peroxyacetic acid is taken as an oxidizing agent, and a self-oxygen-release membrane for catalytic oxidation of peroxyacetic acid is taken as a catalyst, so that an oxygen-release membrane system is constructed, the water treatment efficiency and membrane performance are remarkably improved, the operation energy consumption of the system is greatly reduced, and an innovative solution is provided for development of an intelligent water treatment technology. The method has wide application scenarios, and is suitable for different water quality and treatment requirements. The high-efficiency degradation capability on pollutants such as antibiotics and endocrine pollutants is realized, the high-efficiency interception on complex pollutants such as humic acid, protein and colloid is realized, and the high-efficiency degradation capability is suitable for water supply sources, municipal sewage, industrial wastewater and reclaimed water treatment scenes.

The invention discloses an overflow pollution control method and system. The method comprises the following steps that firstly, water volume data and water quality data of all sewage branch pipes are collected, water volume data and water quality data of all sewage secondary main pipes located on the downstream portions of the sewage branch pipes are collected, and water volume data and water quality data of main pipes located on the downstream portions of the sewage secondary main pipes are collected; then, whether the running state of the current pipe network system is abnormal or not is judged based on the water volume data of all the sewage branch pipes, all the sewage secondary main pipes and the main pipe and different levels of water quality data of upstream and downstream communication; if the running state of the current pipe network system is abnormal, further determining an early warning type and an abnormal source; and finally, allocating the water quantity of the sewage treatment plant based on the early warning type of the current pipe network system. According to the method and the system, the abnormal monitoring point position can be positioned more accurately, and the water volume allocation of the sewage treatment plant is realized in time based on the early warning type and the abnormal source, so that the overflow load is reduced.

The invention discloses a contiguous farmland non-point source pollution control system, which comprises an ecological ditch, a water-logged compost pool, a fertilizer liquid collection pool and a deep adsorption bed, and is characterized in that the ecological ditch is arranged in a farmland, and is used for collecting rainwater in the farmland and filtering and adsorbing part of pollutants in the rainwater; the water-logged compost pond is communicated with the ecological ditch, the ecological ditch is used for conveying part of rainwater to the water-logged compost pond, and the water-logged compost pond is used for water-logged compost by utilizing rainwater and agricultural wastes; the fertilizer liquid collecting tank is communicated with the water-logged compost tank and is used for collecting fertilizer liquid generated by the water-logged compost tank; the deep adsorption bed is communicated with the ecological ditch, the ecological ditch is used for conveying residual rainwater to the deep adsorption bed, and the deep adsorption bed is used for adsorbing pollutants of the rainwater. The multi-stage interception mode of the ecological ditch, the water-logged compost pool and the deep adsorption bed is adopted, the effect that soluble pollutants are adsorbed, absorbed and reused is achieved, solid pollutants are subjected to resource reutilization, and zero emission of farmland pollutants is achieved.

The invention discloses a pollution emission monitoring and early warning method based on physical prior and information value driving, and relates to the technical field of environment monitoring and pollution control, and the method comprises the following steps: collecting production side certificate data, executing time alignment and self-calibration drift removal, and constructing a standardized multi-source database; judging whether a heat island effect occurs or not, and if yes, collecting volume heat capacity, solar irradiance and heat island intensity data of a single building; according to the method, the heat island effect is introduced to judge and generate a new time-space diagram network, real-time heat island intensity changes caused by building materials and solar irradiation can be dynamically captured, and building wind field and plume data are accurately corrected. The problem that a conventional method cannot adapt to irregular fluctuation of vertical wind shear caused by the real-time heat island effect is solved, the pollution plume low-altitude compression phenomenon caused by the heat island effect is effectively corrected, and the monitoring direction is always aligned with the real diffusion path of pollutants.

The invention discloses a composite pollutant control system for high-risk space and ground, and belongs to the field of public health, environment disinfection and pollution control. The system integrates a purification air duct, a module complex (comprising an ultraviolet disinfection module, a photocatalysis enhancement module, an induction module, a control system module and the like), a safety protection module and an ultraviolet reflection suppression module. The air flow direction of the purification air channel is adjusted according to the pedestrian flow time interval distribution characteristics in the pedestrian flow dense state. In a discontinuous pedestrian flow state, the low-pressure mercury lamp is started to effectively kill microorganisms on the ground and in the air, and the killing efficiency is improved in combination with the photocatalytic enhancement module. The sensing module monitors the approaching situation of people in real time, ensures that the ultraviolet lamp is immediately turned off when people exist, and guarantees safety. And the ultraviolet reflection suppression module adopts an ultraviolet absorption material on the ground to avoid ultraviolet reflection, so that the injury to personnel is reduced. The system controls air and ground composite pollutants under man-machine coexistence, and is suitable for environmental safety guarantee of high-risk complex scenes.

The invention relates to the technical field of sewage pipe networks, in particular to a pollution traceability analysis system and method based on a sewage pipe network, and the method comprises the following steps: S1, data collection: collecting the pollutant concentration in real time; s2, data preprocessing: preprocessing the collected pollutant concentration; s3, pollution source spatio-temporal change analysis: identifying a distribution mode and a change trend of pollutants, and determining an initial position and a diffusion direction of the pollution source; s4, identifying and tracking the pollution source: dynamically identifying and tracking the position of the pollution source and the diffusion path of the pollution source in the pipe network through a multi-dimensional spatial-temporal change analysis model based on the determined initial position and diffusion direction of the pollution source in combination with the real-time pollutant concentration, and updating the diffusion state and flow path of the pollution source in real time; according to the invention, the pollution problem of the sewage pipe network in a complex environment can be effectively solved, and an efficient pollution control and treatment strategy is provided in real time.

A soil environment damage identification and evaluation method and system relates to the field of soil identification, and the method comprises the steps: obtaining sampling data, analyzing and calculating the pollution source probability of a sub-region through a traceability model, simulating the diffusion process of a target pollution source based on a hydrodynamic model, determining a pollution risk region, and calculating a regional pollution index. According to the method, the pollution condition in the region can be comprehensively evaluated and analyzed by matching the treatment strategy, the pollution source and the seriously affected region can be judged, the pollution degree index results of different regions can be obtained, and therefore differentiated treatment strategy formulation can be carried out, and compared with traditional fixed point monitoring and average treatment, the method has the advantages that the efficiency is high; according to the scheme, refined analysis and precise treatment of regional pollution can be realized, and the pollution control efficiency is improved.