665 results about "Pollution prevention" patented technology

The invention relates to the technical field of environment monitoring, and discloses a water ecological pollution diffusion prediction method and system based on big data, and the method comprises the steps: constructing a sensing network of a water environment, obtaining real-time water environment data, carrying out the preprocessing of the data through an edge calculation node, and synchronously transmitting the data to a central platform; based on historical data and real-time water body environment data, establishing a dynamic prediction model of pollutant boundary condition parameters; according to the dynamic boundary condition parameters, constructing a pollutant propagation atlas, analyzing the spatial and temporal distribution trend of pollutant concentration and identifying the position of a pollution source; and according to a pollution source position identification result, executing aging prediction, and triggering a pollution early warning response in combination with a set threshold value. The space coverage rate and timeliness of pollution monitoring are improved, the intelligence and credibility of pollution tracking are enhanced, and the intelligent and scientific level of water ecological environment pollution prevention and control is improved.

The invention discloses an intelligent monitoring and early warning system and method for agricultural non-point source pollution, and relates to the technical field of environmental monitoring, accurate prediction of water pollutant concentration is realized through multi-source heterogeneous data acquisition and fusion, a dynamic attention mechanism and a PINN-Transformer coupling model, the system extracts data spatial and temporal characteristics by using an optimized Transformer model, and the method is applied to the intelligent monitoring and early warning of agricultural non-point source pollution. A water pollution diffusion physical constraint is embedded, it is ensured that a prediction result conforms to an actual hydrodynamic law, and based on high-precision spatial-temporal distribution data, an intelligent algorithm is adopted to track a pollution diffusion path and rapidly lock a pollution source; meanwhile, the cellular automaton model simulates pollution risk dynamic diffusion and assists regional risk assessment, the system also combines a block chain technology to carry out credible evidence storage on key monitoring data, and real-time data processing and early warning pushing are realized through a cloud edge collaborative architecture. And an efficient and reliable technical solution is provided for agricultural water environment management and pollution prevention and control.

The invention discloses a stationary pollution source data acquisition and calibration method and system, a medium and a program product, and the method comprises the steps: carrying out the segmentation processing of a plurality of concentration change data, and obtaining a plurality of data segments; determining the concentration change trend of various pollutants, and calculating a correlation coefficient matrix; the Euclidean distance value between the correlation coefficient matrix of the current data segment and each correlation coefficient matrix before sorting is calculated; when the Euclidean distance is greater than a preset threshold value, marking the corresponding data segment as an abnormal data segment; determining the pollutant as a target pollutant, and establishing a material balance equation; based on the material balance equation, generating a theoretical concentration change curve of the target pollutant; calculating a deviation value, and when the deviation value exceeds a preset dynamic error limit value, determining a sensor correction coefficient according to the process parameters; and carrying out calibration processing on the acquired data of the target pollutant according to the sensor correction coefficient. According to the invention, the accuracy of data acquisition and calibration of the stationary pollution source is improved, so that the influence on formulation and execution of pollution prevention and control measures is reduced.

The invention discloses a water environment pollution monitoring management method and system based on big data, and particularly relates to the technical field of water environment monitoring. A drainage basin is divided into a pollution influence main control area, a pollution diffusion boundary area and a pollution interaction transition area; extracting high-frequency pollution factors by using a big data clustering algorithm, constructing a high-frequency pollution factor incidence matrix, establishing a pollution diffusion path prediction model in combination with historical flow direction data and a time sequence analysis technology, and outputting a potential pollution propagation area and intensity; the current pollution diffusion state is analyzed through dynamic matching of real-time monitoring data and the prediction model, and a pollution diffusion real-time prediction result is generated; according to the method, the pollution risk level of each area in the drainage basin is evaluated based on the prediction result, the partition pollution early warning information is generated, the historical treatment case data is combined, pollution prevention and control and treatment suggestions are provided, precision and intelligence of water environment pollution monitoring are achieved, support is provided for water pollution treatment, and the method has remarkable environmental protection benefits and practical application value.

The invention belongs to the field of pollution prevention and control data processing, and particularly relates to a laboratory instrument data automatic acquisition and quality tracing system and a laboratory instrument data automatic acquisition and quality tracing method. A distributed search traceability mapping space is constructed through the storage mapping module to realize space-time-semantic composite indexing and classification detection of data, and a causal reasoning model of the quality judgment module is used for performing anomaly judgment; a reverse Hash traceability mechanism is innovatively designed, an index-traceability node graph and a segmented Hash heterogeneous node anchoring strategy are combined, Hash head, body and tail fragments are stored in three types of nodes of acquisition, storage and detection, and tamper-proof traceability of abnormal data and dynamic optimization of acquisition parameters are realized through cross-node aggregation verification; according to the invention, the problems of low data credibility and poor abnormal traceability efficiency in ecological environment monitoring are solved, and full-chain closed-loop management of data acquisition-analysis-traceability-acquisition configuration adjustment is supported.

The invention discloses an unmanned aerial vehicle intelligent inspection method for particulate matter pollution prevention and control, and the method comprises the steps: S1, carrying out the aerial photographing to obtain a particulate matter pollution source image, and generating a pollution source image recognition model; s2, aerial photography is carried out to obtain a particulate matter pollution management and control facility image, and a pollution management and control facility image recognition model is generated; s3, collecting related data, and generating a particulate matter pollution source and particulate matter pollution management and control facility list and distribution map; s4, the terminal intelligent control platform plans an unmanned aerial vehicle inspection route; s5, when the particulate matter concentration data of the monitoring site reach an early warning value, starting inspection operation; s6, transmitting the data recorded by the inspection of the unmanned aerial vehicle to the terminal in real time; s7, the terminal identifies the pollution source type, the pollution degree and the pollution control facility state according to the transmitted data to form a pollution source patrol list; and S8, automatically sending the generated list to related personnel. The method is high in target identification precision and accurate in positioning, improves the inspection efficiency of particulate matter pollution prevention and control, and reduces the labor cost.

The invention discloses a drainage pipe network pollution traceability and alarm system based on invariant analysis, which belongs to the field of data communication of a data center and comprises a data collection module, a cloud platform processing module, an invariant analysis module, an abnormal emission identification and alarm module and a decision support system. The supervision efficiency of the drainage pipe network is improved, environmental pollution is reduced, and sustainable utilization of water resources is guaranteed; according to the system, various sensors are installed at key nodes of a drainage pipe network, data such as water quality, water level, water volume and flow velocity are collected in real time, and the data are transmitted to a cloud platform through a wireless communication technology; by utilizing the data processing capability of the cloud computing platform and combining with an invariant analysis algorithm, the system can quickly position a pollution source, track a pollution path and give an alarm to related personnel in time; the monitoring, management and pollution prevention and control capabilities of the drainage pipe network are effectively improved, and powerful technical support is provided for urban water resource management and environmental protection.

The invention is applied to the technical field of water pollution treatment, and discloses a soil groundwater pollutant migration simulation system which comprises a data acquisition module, a model construction module, a boundary condition setting module, a model solving module and a result verification module. According to the soil groundwater pollutant migration simulation system, by integrating soil physical properties, groundwater geology conditions, pollutant characteristics and the like and applying a scientific model construction and numerical calculation method, the concentration distribution mode of pollutants at different time and space positions is accurately predicted, the trend and range of pollution diffusion are mastered in advance, and the migration simulation of the soil groundwater pollutants is realized. Accurate data support is provided for formulating targeted pollution prevention and control and treatment strategies, and in an industrial pollution site repair project, the expansion direction and speed of pollution plume can be determined according to a simulation result, so that the range and key area of the repair project are reasonably planned, excessive treatment or insufficient treatment is avoided, and the repair efficiency is improved. The treatment efficiency is improved; the treatment cost is reduced.

The invention discloses a reservoir water regimen analysis method and system based on artificial intelligence, and the method comprises the steps: collecting original signals from multi-source monitoring indexes, such as water level, flow, rainfall and water quality, carrying out the standardized conversion through employing distributed calculation nodes, and forming a unified multi-source data set; based on this, using a feature extraction network to fuse upstream rainfall and reservoir flow, extracting space-time correlation features, and determining a short-term water level change trend; historical water quality abnormal data are integrated through a sequence prediction network, a time sequence is modeled, and potential pollution risks are judged; when the risk exceeds a threshold value, dynamically adjusting the weight of the prediction model, and generating an optimized water regimen simulation scene; finally, resource scheduling logic is fused, multi-scene risks are evaluated, and an optimization management strategy is output. Through deep fusion of spatial-temporal feature extraction and dynamic prediction, accurate water regimen prediction and flood control water supply decision support are realized, and the water resource management efficiency and the pollution prevention and control capability are improved.

The invention relates to the technical field of environmental pollutant detection, in particular to a straw open-air incineration pollutant emission quantitative method based on multi-source data fusion, which comprises the following steps: based on air pollutant monitoring data, calling a sensor network to obtain PM2.5, CO and NOX concentrations, analyzing fire point heat radiation intensity, collecting meteorological data, and calculating the concentration of PM2.5, CO and NOX; and obtaining a pollution source data set by combining the time sequence change of the fire points and the meteorological parameters. By integrating an environment monitoring sensor, satellite remote sensing and ground meteorological data, the comprehensiveness and accuracy of pollution source monitoring are improved, the combination of fire point intensity and pollutant concentration time sequence data is optimized, the evaluation of fire point and pollution hot spot areas and the comprehensive analysis of wind directions and meteorological conditions are optimized, the accuracy of a pollutant diffusion model is improved, and the pollution source diffusion efficiency is improved. The pollutant release amount is dynamically adjusted, and the diffusion model is corrected by using a geographic information system, so that the scientificity of pollution prediction and emission intensity evaluation is enhanced, and more accurate pollution prevention and control decision support is provided.

The invention relates to the technical field of solid waste treatment, in particular to a phosphogypsum source harmless treatment method. Washing the tail section of the crystal growing slurry filtering system with clean water, and obtaining phosphogypsum after washing, wherein the ratio of the water consumption of the clean water to the phosphogypsum is (1: 10)-(1: 1) cubic / ton; performing size mixing on filter cloth washing water in a crystal growing slurry filtering system and the obtained ardealite to obtain ardealite slurry with the concentration of 20wt%-60wt%; adding a harmless treatment agent A into the obtained ardealite slurry, uniformly stirring and mixing, and reacting for 5-60 minutes to obtain first-stage reaction slurry; adding a harmless agent B into the obtained first-stage reaction slurry, uniformly stirring and mixing, reacting for 20-60 minutes, and filtering to obtain filtrate and harmless ardealite. The comprehensive recovery rate of fluorine and phosphorus valuable components in the wet-process phosphoric acid industry is realized through simple process improvement, and the pollutant content of the phosphogypsum after washing and filtering is reduced; according to the phosphogypsum harmless treatment method, the idea that industrial solid waste is used for treating pollution with waste is utilized, the agent preparation raw materials are wide in source and low in cost, and the agent is a toxic representative for solid waste pollution prevention and control cooperative control and assistant pollution reduction and carbon reduction synergistic interaction.

The invention relates to the technical field of comprehensive corrosion prevention and pollution prevention of ships, in particular to a marine high-power ultrasonic pipeline pollution prevention device and a control method thereof. The contact type ultrasonic transducer is mounted on the outer wall of the seawater pipeline and is matched with the high-power driving controller, so that high-power ultrasonic waves can be used for repelling, preventing and treating contaminated marine organisms, and attached marine organisms can be removed to a certain extent; the transducer is arranged on the outer wall of a ship seawater pipeline or a valve box in a contact type installation mode and is connected through a profiling base stud to be installed, so that the whole device is convenient to disassemble, assemble, arrange and maintain, and flowing of seawater in the pipeline is not affected; according to the ultrasonic pipeline anti-fouling device, wheel control logic is adopted, automatic adjustment and alternate intermittent operation are achieved by adding the switching circuit, the power consumption and heat production can be effectively controlled while the ship seawater pipeline anti-fouling effect is guaranteed, the reliability of the device is improved, the size of the device is reduced, and the application prospect is wide.

The invention belongs to the technical field of farmland tail water pollution load analysis and evaluation, particularly relates to a farmland tail water pollution load analysis and evaluation method, and aims to overcome the obvious defects of an existing monitoring and evaluation method in the aspects of monitoring point layout, index coverage, data processing, analysis depth and the like. In order to solve the problems that farmland tail water pollution load analysis and evaluation cannot meet accurate and dynamic farmland tail water pollution load analysis and evaluation requirements and pollution prevention and control decisions are difficult to effectively support in the prior art, the invention provides the following scheme: the method comprises the following steps: S1, carrying out multi-source acquisition on farmland information data, and carrying out fusion processing; s2, setting a fixed sampling unit and a movable sampling unit according to farmland information setting; according to the method, multi-source data such as farmland basic information, agricultural production activity data, meteorological data and water quality monitoring data are comprehensively considered, and comprehensive and accurate quantification and evaluation of farmland tail water pollution load are realized through a data preprocessing and fusion technology.

The invention discloses a construction site dust fall and pollution prevention and control method and system based on multi-modal perception, and relates to the technical field of construction management, and the method comprises the steps: collecting PM data at a boundary in real time through a boundary monitoring device preset at the boundary of a construction site, and meanwhile, using an unmanned plane carrying the monitoring device to monitor the PM data at the boundary; performing flight monitoring on the interior of the construction site according to a preset route, and collecting PM data of different areas of the site; performing preliminary analysis on the multi-modal sensing data in real time by using an edge calculation module, and identifying dust abnormal conditions; and the data processing center analyzes a current pollution scene of the construction site, matches an optimal dust falling strategy for the current pollution scene, controls surrounding dust falling equipment to perform dust falling operation, constructs a self-organizing communication network among the dust falling equipment, and adjusts a dust falling operation plan by using dust falling feedback information. According to the invention, real-time data collected by the boundary monitoring equipment and the unmanned aerial vehicle are fused, and environment parameters and construction working conditions are combined, so that precise regulation and control of the dust falling equipment are realized.

The invention relates to the technical field of environment monitoring, in particular to an underground water monitoring and early warning method and system based on multi-source data fusion, and the method comprises the following steps: obtaining water quality, flow velocity, temperature and pH value data, adjusting the collection frequency, verifying the state of a sensor, forming a water quality and geologic feature data set, analyzing rainfall, air temperature, permeability and water flow dynamic state, and obtaining a water quality and geologic feature data set. And generating a seepage trend, identifying a pollutant diffusion path, range and main path, evaluating a diffusion rate and influence, and generating a pollution diffusion early warning level in combination with permeability and risk standards. According to the invention, through fusion analysis of multi-source data, determination of the correlation between an underground water flowing mode and water quality change, timely capturing of the influence of meteorological change on underground water, accurate evaluation of pollutant diffusion path, rate and influence range, improvement of timeliness and accuracy of pollution early warning, and improvement of monitoring response speed through automatic data processing. And timely and accurate decision support is provided for groundwater resource management and pollution control.

The invention relates to the technical field of atmospheric dust pollution prevention and environmental protection, and discloses a multi-objective optimization layout method for dust monitoring points of a bulk cargo port, which comprises the following steps: processing historical meteorological data and port geographic information, and calculating the comprehensive evaluation concentration of each candidate grid point in combination with a pollutant diffusion model; constructing a multi-target nonlinear mixed integer programming model taking maximization of environment sensitive point coverage and minimization of concentration interpolation deviation as target functions, wherein the model comprehensively considers multiple reality constraints; solving the model by adopting an improved genetic algorithm to obtain an optimal solution set capable of forming tradeoff among different targets; and carrying out quantitative evaluation on the solution set through preset monitoring area coverage rate and monitoring accuracy indexes, and determining an optimal monitoring point position layout scheme. According to the invention, a scientific and quantitative optimized layout scheme can be provided for bulk cargo port dust monitoring, and the reliability and spatial representativeness of a monitoring network are improved.

The invention relates to the technical field of water quality monitoring and drainage basin water environment management, in particular to a drainage basin water quality prediction method and system based on a spatial flow river network topological structure, and the method comprises the steps: firstly, determining a monitoring region, obtaining drainage basin digital elevation model (DEM) data and drainage basin boundary data, and then obtaining water quality data in a drainage basin through setting a monitoring point; the method comprises the following steps: firstly, mainly monitoring an area with relatively large water quality change, then obtaining an environment variable in a drainage basin, analyzing and generating an accurate prediction river network and a prediction point in combination with a spatial flow river network topological structure, then predicting water quality parameters by constructing a spatial flow river network topological structure model and combining water quality data of a monitoring point and the environment variable, and finally, predicting the water quality parameters by constructing a spatial flow river network topological structure model. A prediction result is displayed through a geographic information system (GIS) visual tool, real-time monitoring and water quality early warning are facilitated, the technical scheme is suitable for water quality prediction of a large-scale drainage basin, the change of the water quality of the drainage basin can be monitored in real time, and a scientific basis is provided for drainage basin management and pollution prevention and control.

The invention relates to the field of underground environmental pollution prevention and control of refuse landfills, in particular to a comprehensive evaluation method for long-term antifouling performance of a clay separating wall of a refuse landfill, which comprises the following steps: S1, preparing clay separating wall materials with multiple proportions; s2, designing a test according to the long-term anti-fouling performance of the clay separation wall, and obtaining physical and chemical parameters of a clay separation wall material through the test; and S3, setting screening conditions according to the physicochemical parameters, and evaluating and screening the clay separation wall materials with multiple proportions by utilizing the screening conditions to obtain the clay separation wall material with long-term effective antifouling performance. According to the comprehensive evaluation method provided by the invention, the permeability of the clay separating wall, the chemical compatibility with the pollutants and the blocking time of the separating wall to the pollutants are comprehensively considered, so that the long-term antifouling property of the clay separating wall of the refuse landfill is more comprehensively judged, and the screened material can meet the long-term antifouling requirement; and the evaluation accuracy and reliability are greatly improved.

The invention belongs to the technical field of tool magazines, particularly relates to a disc type tool magazine with a chain type radial servo chain, and provides the following scheme aiming at the problems that when a tool sleeve is replaced, cuttings and cooling liquid can be carried to enter movable parts such as a locking mechanism in the tool sleeve, so that the mechanism is inflexible in action and blocked, and normal grabbing, releasing and locking of the tool are influenced. Comprising a base body, one side of the base body is fixedly connected with a disc, an index plate is arranged on the base body, and an assembly part is arranged on one side of the base body; and the driving circular pipe is arranged on one side of the assembly part. According to the disc type tool magazine with the chain type radial servo chain, the problem of mechanism clamping stagnation caused by invasion of cuttings and cooling liquid is fundamentally solved through the pre-cleaning module and the positioning auxiliary module, pollution prevention is deeply integrated into the tool changing process, the high tool changing efficiency is maintained while the cleaning effect is ensured, and the tool changing efficiency is improved. And the reliability and the service life of the tool magazine in high-speed machining are remarkably improved.

The intelligent storing and taking device comprises a container, a machine body and a liquid obtaining mechanism arranged on the machine body, a storage cavity is formed in the machine body, a storage door capable of being opened and closed is arranged on one side of the storage cavity, and the storage door can be locked at the closed position by a storage door electronic lock; the storage door electronic lock is provided with a container identity read-write device; the container can be stored in the storage cavity of the machine body and comprises a body and a cover body connected to the body, the cover body is provided with a containing cavity, and a liquid outlet connector and a liquid outlet electromagnetic valve are arranged in the containing cavity; the liquid obtaining mechanism is arranged above the storage cavity, and the liquid obtaining mechanism comprises a moving plate, a suction part and a beverage identity read-write device. Intelligent storage and taking of bulk liquid commodities can be achieved, and liquid can be stored and taken into the container under the conditions that no person makes contact with the container and multiple verification succeeds; whole-process traceability, whole-process dynamic real-time supervision and whole-process pollution prevention guarantee can be provided for storage, taking-out and storage of bulk liquid.

The invention discloses a dust suppression method and system for railway track dry bulk cargo loading. The method comprises the steps that if it is detected that loading operation is started on an iron road trunk line, an area to be subjected to dust suppression is determined based on loading operation field data; acquiring environment information corresponding to the region to be subjected to dust suppression, wherein the environment information comprises wind direction information; determining a to-be-loaded article based on the loading field operation data, and determining the moisture content corresponding to the to-be-loaded article; and a control strategy corresponding to the spraying system is determined based on the wind direction information, the water content and the area corresponding to the area to be subjected to dust suppression, and operation parameters corresponding to the spraying system are adjusted based on the control strategy so as to perform dust suppression treatment on the loading operation process. According to the invention, accurate treatment of railway track loading flying dust pollution is realized, limitation of traditional fixed dust suppression is broken through, and pollution prevention and control efficiency and resource utilization efficiency are remarkably improved.

The invention discloses an anti-pollution modified hollow fiber membrane and a preparation method and application thereof.The anti-pollution modified hollow fiber membrane can be tightly combined with a zwitterionic polymer material modified nano-antibacterial material, and is prepared from, by weight, 8-30% of polyvinylidene fluoride (PVDF) / polysulfone / polyethersulfone, 0.1-15% of a modified material, 0.1-10% of an antioxidant and the balance water. According to the present invention, the prepared hollow fiber membrane has characteristics of excellent pollution resistance, no filament breaking, and application in wastewater treatment, pollution control, water resource comprehensive utilization, food processing, medicine purification, and other aspects, and the prepared hollow fiber membrane has characteristics of excellent pollution resistance, no filament breaking, and can be used in the fields of wastewater treatment, pollution control, water resource comprehensive utilization, food processing, medicine purification, and the like.

The invention relates to the field of water environment pollution detection and analysis, in particular to a water environment pollution detection and analysis system and method based on the Internet of Things, and solves the problems of sampling redundancy, missing detection, high-dimensional data over-fitting, difficulty in traceability and early warning lag in traditional detection. The system comprises a monitoring acquisition module, a water quality anomaly detection module, a pollution tracing module, a pollution early warning module and a database. The monitoring acquisition module adopts chaotic adaptive sampling to adjust sensor frequency, and entropy optimization water quality data is obtained by combining permutation entropy and collaborative filtering denoising; the water quality anomaly detection comprises the following steps: standardizing data into high-dimensional point clouds, calculating a Betti number and a non-equilibrium state entropy, and fusing to generate a comprehensive pollution topological entropy index; according to pollution traceability, a dynamic graph and a diffusion kernel matrix are constructed by using GNN, and the optimal source intensity is solved through quantum annealing; the range is predicted through a diffusion equation for early warning, and information is integrated to generate a report to be pushed to users. The method corresponds to a module flow and provides support for pollution prevention and control.

The invention discloses a microplastic transportation path prediction method, device and equipment based on a complex hydrodynamic environment and a medium, and relates to the technical field of environment monitoring and water pollution governance, and the method comprises the steps: integrating a watershed digital elevation model, a river channel vector diagram, microplastic attributes and real-time hydrological data; a dynamic adjacency matrix is used for capturing water flow direction changes, multi-modal feature fusion is combined for modeling micro-plastic physical attributes and topographic resistance, the problem of monitoring data scarcity is solved through a cross-basin transfer learning strategy, a micro-plastic transfer path is accurately predicted, high-precision simulation of micro-plastic transfer in a complex hydrodynamic environment is achieved, and high-precision simulation of micro-plastic transfer in a complex hydrodynamic environment is achieved. The pollution prevention and control efficiency is improved.

The invention relates to the technical field of wastewater treatment in the water treatment technology, in particular to a wastewater treatment multistage dynamic quantification control system based on result feedback, which comprises a storage module, an identification module, a quantification module and an execution module, the storage module stores a causal chain in a reaction process, the identification module identifies a matching state of a current operation parameter and the causal chain and enables the quantification module to determine a risk index, and the execution module performs control optimization to execute corresponding measures based on the determined risk index. Tracking intervention from a pollution source to a derivation phenomenon is realized, a pollution migration problem implied in wastewater treatment is converted into an identification item of quantitative operation, and limitation of traditional single-point identification control is broken through through sequential logic verification and a multi-dimensional matching degree fusion mechanism. The accuracy of membrane pollution prevention and control and the resource utilization efficiency are improved while the process continuity is guaranteed, and a closed-loop control normal form of traceability pre-judgment dynamic quantification grading interception is formed.

The invention provides a phosphogypsum lightweight aggregate and a preparation method thereof. The phosphogypsum lightweight aggregate disclosed by the invention can be applied to mass concrete engineering, the utilization rate of sandstone is effectively reduced, and the ecological environment is protected. Meanwhile, the cylinder compressive strength of the prepared lightweight aggregate can reach 10 MPa or above, the apparent density is 1600-1920 kg / m < 3 >, the water absorption rate is 9-14%, when the lightweight aggregate acts in concrete, ultra-high performance concrete with the strength grade reaching 100 MPa or above can be prepared, and the hydration shrinkage condition of the concrete can be reduced while certain strength is kept. The method applied to engineering construction not only helps to solve the national problems of high consumption and utilization of ardealite and pollution prevention, but also can solve the shortage of materials required by infrastructure construction. Compared with common concrete, the concrete has higher market competitiveness.

To solve a problem in which, in a situation where there are numerous dredging depressions for collecting sea sand along the coasts of Japan, and, because these depressions are causing deterioration of marine environment, countermeasures such as backfilling are carried out, and it is necessary to take measures to prevent pollution spread when carrying out construction work at sea, to increase prevention of generation and spread of pollutants in order to further promote a project, and to speed up backfilling work, etc., for reducing project costs.SOLUTION: Seabed backfilling in a countermeasure not using a tremie pipe is carried out using a method in which a soil transport barge loaded with sediment submerges, turns over at a specified seabed surface to unload the sediment, and then the empty soil transport barge automatically floats to a water surface. This speeds up the work. In addition, pollution spread prevention measures of the method includes covering a surface of the loaded sediment with a pollution prevention sheet until just before it is unloaded, and then immediately after reversing for unloading sediment, the soil transport barge and the pollution prevention sheet surround the seabed, to perform prevention of generation and spread of pollution caused by unloading sediment, in two stages.SELECTED DRAWING: Figure 10

The invention discloses a flood season river pollution early warning system and method, and relates to the technical field of environmental monitoring, the system comprises a microbial electrochemical sensor module, a current monitoring and data analysis module, a multistage early warning trigger module, a chemical detection auxiliary module, and a data transmission and storage module, through the microbial electrochemical sensor network, water samples on the surface layer, the middle layer and the bottom layer of a river can be collected at the same time, the toxicity index of composite pollutants is analyzed in real time by means of metabolic activity changes of electroactive flora, the comprehensiveness of monitoring of the river pollution condition is greatly improved, meanwhile, the current pulse frequency is monitored in real time, and the toxicity index is rapidly analyzed; and by matching with a preset accurate threshold value of the early warning trigger module, an early warning mechanism can be quickly triggered once the pollution condition reaches an early warning standard, so that the early warning timeliness is greatly improved, the time interval from pollution occurrence to early warning sending is shortened, and precious time is won for taking pollution prevention and control measures in time.

The invention relates to the technical field of feeding devices, and discloses an anti-pollution feeding device for pharmacy, which comprises a fixed pipe, the top of the fixed pipe is provided with an assembly disc connected with a material box, the bottom of the fixed pipe is slidably provided with a movable pipe, and the bottom of the movable pipe is provided with a butt joint disc connected with pharmaceutical equipment; the plurality of conversion plates are arranged in a circumferential manner and are rotationally mounted on the connecting piece; after feeding is finished, connection between the butt-joint disc and the pharmaceutical equipment is relieved, then the driving source drives the movable pipe to ascend and reset, the multiple conversion plates are turned over to be attached to one another in the process, and anti-pollution protection is conducted on the screen; the problem that dust enters the device and adheres to the screen after the top of the fixing pipe is opened in the connecting process of the assembling disc and the material box before feeding can be avoided, the screening and dust removing effect of the screen is ensured, and then pollution prevention in the feeding process is achieved.

The utility model provides a dust removal cleaning device for preventing and treating atmospheric environmental pollution, and relates to the field of atmospheric environmental pollution prevention and treatment. The dust removal cleaning device for atmospheric environmental pollution prevention and control comprises a filter bin, an air inlet is formed in the front end of the filter bin, an air suction port is formed in the rear end of the filter bin, the bottom of the filter bin is in through connection with a liquid drainage bin, and a fixing frame is rotationally connected to the center position in the filter bin. When the dust removal and cleaning device for atmospheric environmental pollution prevention and control is used, a filter bin filters air through an air inlet and an air suction port, filtered impurities are attached to the surface of the front end of a filter plate, at the moment, a servo motor drives a power wheel to rotate by a circle, the power wheel drives an adjusting wheel to rotate by 90 degrees, and the adjusting wheel drives a fixing frame to rotate; the fixing frame drives the filter plate to rotate, the side, attached with impurities, of the filter plate faces downwards, at the moment, the filter plate is in a horizontal state, meanwhile, the fixing frame drives the baffle to block the air inlet and the air suction port of the filter bin, and the waste gas blocking device has the advantage of blocking waste gas.