25 results about "Contamination zone" patented technology

The invention discloses a soil heavy metal portable XRF intelligent detection and early warning system integrated with a risk assessment function, and relates to the technical field of environment monitoring. According to the invention, data are collected through a portable equipment system integrating multispectral sensing and an environment probe, a pollution area is accurately locked in combination with an improved clustering algorithm, accurate positioning of a pollution point location is realized by means of cooperative operation of the unmanned aerial vehicle, and the problem of blindness of traditional sampling is effectively solved; a dynamic interference correction and multi-stage calibration mechanism is established, a deep learning and machine learning fusion model is adopted to extract an environmental interference factor, and spectral line processing and an environmental compensation algorithm are combined, so that the accuracy of a detection result in a complex environment is remarkably improved; the efficiency and precision of soil heavy metal pollution treatment are greatly improved by realizing full-process intelligence from risk evaluation to treatment decision, establishing a multi-dimensional risk evaluation system, automatically generating an optimal operation path and intelligently recommending a treatment scheme based on pollution characteristic data.

This invention discloses a method and system for delineating soil contaminated areas. The method includes: generating a first pollution feature layer by fusing historical pollution data and remote sensing spectral features, and generating a second pollution concentration layer based on an anisotropic pollution diffusion model; analyzing whether pixel spectral features indicate pollution using a trained discriminant model, and marking pixels as core, suspicious, or clean pixels based on concentration exceeding the standard; determining the diffusion correlation between suspicious areas and adjacent core areas by calculating boundary migration feature similarity; merging highly correlated areas according to pollution diffusion fusion rules based on the correlation results to form pollution diffusion areas; and finally optimizing, aggregating, and classifying all contaminated areas based on preset rules to generate a final soil contaminated area delineation map with risk levels. This invention achieves automated and high-precision identification and delineation of soil contaminated areas.

The application discloses a pollution source detection method and system based on water environment treatment, and relates to the technical field of intelligent detection, and comprises the following steps: emitting laser with a first Brillouin linewidth in combination with a distribution range; adjusting the first Brillouin linewidth based on feedback data of the laser; moving the coordinates of the pollution source based on a pollution diffusion model, a three-point positioning method and pollution parameters of a current detection point; and obtaining new coordinates of the pollution source. The application greatly improves positioning accuracy by detecting changes in trace pollution concentration and combining model inversion, does not need to be close to a pollution area, supports a closed-loop mechanism of detection and updating, can realize three-dimensional positioning by only using three detection points, does not need to densely arrange a sensor network, greatly reduces hardware cost and maintenance burden, is suitable for emergency and rapid deployment, and can maintain stable performance under complex conditions such as wind field changes, terrain undulations and water layering.

The present application relates to a kind of natural conditions under the estimation method of superuranic nuclide resuspension release source term.This application obtains the environmental characteristic parameter of the place of contaminated area, calculates the related parameter of superuranic nuclide pollution condition, calculates the surface covering layer factor of contaminated area soil, calculates the resuspension release source term of superuranic nuclide, can start from the characteristics of soil environment, nuclide characteristics, natural condition three aspects, based on the mass load theory of particulate matter, using the release flux of particulate matter in contaminated area soil and the level of radioactivity concentration in soil, the resuspension release source term of superuranic nuclide is calculated, realizes the resuspension release amount of superuranic nuclide in soil environment pollution under natural conditions is scientifically and accurately evaluated.

The invention relates to a probe device (20) and the use thereof, the probe device comprising:-a gasket (21a) dividing the probe device (20) into a contaminated region (22) and a sterile region (23) and sealingly isolating the contaminated region (22) from the sterile region (23); a probe (24) having a probe tip (31); a probe chamber (29) having a probe inlet (30), in which a probe tip (31) of the probe (24) is fixedly arranged; wherein:-the probe arrangement further comprises a switch member (25) movable relative to the detection chamber (29) and having a fluid inlet (80) and two positions: a first position (27) and a second position (28); -the switching member (25) is configured to close the detection inlet (30) of the detection chamber (29) in its first position (27) and to open the detection inlet (30) in its second position (28) such that the detection inlet (30) of the detection chamber (29) is in fluid communication with the fluid inlet (80); and-the sterile region (23) accommodates the detection chamber (29) and the switching means (25).

This invention discloses a water-based plasma jet cleaning method and apparatus. The method involves collecting multi-modal contamination detection data from the workpiece surface, analyzing the physicochemical properties of the contamination to generate a contamination characteristic spectrum, matching a pre-stored material specification library to generate a discharge safety margin coefficient, and then performing plasma discharge treatment on deionized water under its constraint to generate a plasma-activated water flow, establishing a water-based plasma composite cleaning domain. Multi-path collaborative cleaning flow is generated through decoupling and regulating the jet intensity and water-air ratio. The cleaning effect is monitored to identify residual deviation characteristics, extracting the schedulable margin in lightly contaminated areas to trigger a compensation mechanism, generating cleaning compensation parameters, and constructing an enhanced cleaning configuration. Based on the enhanced cleaning configuration, the cleanliness convergence curve is monitored, and the optimal cleaning termination time is determined by identifying the decreasing convergence slope. Adaptive passivation processing is then performed based on the cleanliness convergence curve, achieving closed-loop adaptive control throughout the entire process, including contamination perception, safety margin configuration, process compensation, and convergence termination.

The invention discloses a pollution source detection method and system based on water environment treatment, and relates to the technical field of intelligent detection, and the method comprises the following steps: combining a distribution range, emitting laser with a first Brillouin line width, adjusting the first Brillouin line width based on the feedback data of the laser, and obtaining a first Brillouin line width and a second Brillouin line width; and based on the constructed pollutant diffusion model, the three-point positioning method and the pollutant parameters of the current detection point, moving the coordinates of the pollution source, and obtaining the coordinates of a new pollution source. By detecting the concentration change of the trace pollutants and combining model inversion, the positioning precision is greatly improved, a closed loop mechanism which does not need to approach a polluted area and supports detection and updating at the same time is supported, three-dimensional positioning can be realized only by three detection points, a sensor network does not need to be densely arranged, the hardware cost and the maintenance burden are greatly reduced, and the method is suitable for emergency rapid deployment. The stable performance can be kept under the complex conditions of wind field change, topographic relief, water layering and the like.

This invention discloses a machine vision-based method for detecting contaminant residues after duodenoscope reprocessing, specifically in the field of machine vision, to address the problem of accurately locating and removing contaminant residues after existing duodenoscope reprocessing. The method involves applying controlled incident angle, wavelength, and polarization state light perturbations to the outer surface and inner lumen of the duodenoscope, acquiring image sequences under perturbation, and extracting temporal brightness response features of pixel blocks. Brightness difference residuals and consistency weights are calculated at different incident angles to identify candidate abnormal regions and generate a difference map reflecting their response characteristics to a clean baseline. The difference map is segmented, analyzed for connectivity, and clustered. Combining three-dimensional coordinate continuity and surface normal consistency, the three-dimensional spatial boundary of the suspected contamination area is delineated. Within this range, directional cleaning and retesting are performed, with repeated detection until the contamination area disappears, achieving high-precision detection and efficient cleaning.

The invention relates to a construction method for excavating a foundation pit in a polluted area, which comprises the following steps of: dividing a construction area on the ground, and positioning the design position of an enclosure structure; the prefabricated plate piles are pressed in along the positioning line, and a first enclosure structure is formed; opposite reinforced concrete walls are poured on the inner side of the first enclosure structure in a segmented mode, and a second enclosure structure is formed; a foundation pit is excavated between the first enclosure structure and the second enclosure structure; an impermeable layer is constructed in the foundation pit; and sealing treatment is conducted on the joints of the impermeable layer and the first enclosure structure and the joints of the impermeable layer and the second enclosure structure. According to the construction method for excavating the foundation pit in the polluted area, the vertical barrier is formed through the first enclosure structure and the second enclosure structure, the anti-seepage layer is arranged in the foundation pit, the anti-seepage effect is improved, and complex construction loads and long-term environmental erosion can be effectively dealt with.

The application discloses a bedrock fissure site VOCs vapor invasion risk assessment method, comprising the following steps: S1, identifying the area where the bedrock and groundwater in the site exist VOCs pollution; S2, establishing a pollutant transport flux simulation test system; S3, using the pollutant transport flux simulation test system, carrying out the target pollutant transport flux test of the pollution area, setting a first transport flux test point at the center position of the pollution area, and calculating the maximum influence area of the first transport flux test point during the test; S4, selecting a second transport flux test point in the pollution area outside the maximum influence area of the first transport flux test point, and repeating step S3 to calculate the maximum influence area of the second transport flux test point during the test; S5, repeating steps S3 to S4 until the maximum influence areas of all transport flux test points are superimposed and cover the whole pollution area; and S6, predicting the future indoor vapor invasion health risk of the population in the pollution area.

The invention relates to the technical field of image analysis, in particular to a radioactive contamination area identification method and system based on image segmentation. The method comprises the following steps: acquiring multiband image data; carrying out false contamination highlight area detection and false contamination dark area identification on the multiband image data to respectively obtain false contamination highlight area data and false contamination dark area data; generating a pseudo-contamination graph according to the pseudo-contamination highlight area data and the pseudo-contamination dark area data to obtain pseudo-contamination graph data; interference suppression processing is carried out according to the pseudo-contamination graph data to obtain graph data after interference suppression; according to the image data after interference suppression, performing false contamination area shielding to obtain contamination area data; and carrying out pollution area fine segmentation on the pollution area data to obtain pollution area identification data. According to the method, by constructing artifact elimination and attention guidance recognition, the radioactive contamination area can be extracted under illumination and reflection conditions, false detection interference is reduced, and the method is suitable for high-interference environments such as nuclear emergency.

The invention discloses a volatile soil pollutant detection method and device, and the method comprises the steps: selecting a rectangular region as a measurement region of pollutants in soil, and laying a plurality of measurement points in the measurement region; the measuring area comprises a polluted area and an unpolluted area; starting from a preset measurement starting point, sequentially passing through each measurement point in the measurement area, and finally reaching a preset measurement ending point to obtain a measurement point route; acquiring resistivity data of each measuring point acquired by the electromagnetic instrument along the measuring point route, and drawing isoline plane images of the polluted area and the unpolluted area at different depths based on the resistivity data of each measuring point; and comparing the resistivity data of the measuring points in the polluted area and the non-polluted area respectively, and judging the pollutant distribution condition in combination with the isoline plane image. According to the invention, the distribution condition of volatile pollutants in soil can be detected, and a basis is provided for risk management and control of pollutants.

The application discloses a heat-responsive self-stripping peelable film and a preparation method and application thereof, and belongs to the technical field of gamma contamination removal materials. The heat-responsive self-stripping peelable film comprises the following raw materials: porous adsorption material, dispersing agent, film-forming base, surfactant, thickening agent and colorant. When the heat-responsive self-stripping peelable film is used, only the mixed solution needs to be sprayed or brushed on the radioactive contamination area to wait for film formation, and the film can be self-contracted and peeled off by heating. The gamma contamination removal rate of the heat-responsive self-stripping peelable film on a stainless steel surface reaches 80% to 95%, realizes non-contact automatic peeling without human power and machinery, and avoids the radiation of personnel caused by human peeling and the damage of mechanical equipment caused by high-difficulty operation of mechanical peeling.

According to the mouse cage capable of automatically supplementing the padding and cleaning the polluted area, the mouse cage bodies in the annular array are driven by the rotating tray assembly to be alternately positioned, the state of the padding is monitored in real time by combining the weighing sensor and the infrared thickness gauge, and the padding is accurately supplemented through the spiral feeder; meanwhile, by means of the synergistic effect of the vibration motor and the conical guide plate, the polluted padding directionally falls off to the collecting tray, and targeted cleaning of the polluted area and on-demand automatic supply of the padding are achieved. According to the structure, the manual intervention frequency is remarkably reduced, waste caused by replacement of padding of the whole cage is avoided, and the space utilization rate is greatly increased through the annular compact layout; the honeycomb PE tray and mesh design gives consideration to both air permeability and excrement separation efficiency, and the conductive slip ring power supply scheme ensures stable electrical connection of the rotating assembly. The whole system forms closed-loop control of cleaning, monitoring and material supplementing under the coordination of the control assembly, and the core problems of inaccurate cleaning, padding waste and low automation degree in the prior art are effectively solved.

The application discloses a kind of based on rotary digging pile technology's contaminated soil directional excavation and ex situ repair integration method.The present application belongs to the cross field of environmental engineering and geotechnical engineering, to solve deep>15m, range<100m 2 The traditional excavation of contaminated soil has high support cost, mud pollution, lack of real-time monitoring and the problem of cutting off excavation and repair, and an integrated system and method are provided.The system includes a rotary drilling rig, a multi-section full protection cylinder assembly, an online detection device and a remote monitoring terminal;The method is: after determining the pollution range, the drilling rig is in place and the detection device is modified, the full protection cylinder is buried, the pollutant data is monitored in real time while drilling to dynamically adjust the excavation parameters, and after excavation, the acceptance is determined, the clay or cement mixed clay is backfilled layer by layer, and the full pollution area is covered by full sleeve hole jumping lap rotary digging.The present application realizes accurate excavation, integrated operation shortens construction period by 50-70%, there is no mud pollution, and the support cost is reduced by 60-80%.

This invention relates to the field of soil analysis technology and provides a method for densifying sampling points in contaminated sites to determine pollution boundaries. The method includes the following steps: S1, obtaining an initial set of sample points; S2, generating a grid map of the industrial site to be investigated; S3, generating a prediction result map; S4, obtaining the standard deviation of pixel values ​​based on the prediction result map; S5, determining the undetermined area based on the mean prediction result map and a threshold; S6, determining the first weight of each grid within the undetermined area; S7, adding sample points to the undetermined area; S8, determining whether the number of times sample points have been added has reached a specified H times; if not, returning to S3, otherwise ending the sampling point densification; S9, obtaining the boundary between the contaminated and clean areas of the industrial site to be investigated based on the initial set of sample points after the sampling point densification is completed. This invention makes the pollutant distribution prediction results more accurate and uses a quantitative method to determine the location of added sample points, making the determination of pollution boundaries more accurate and objective.

Aspects of inventive concepts are directed to a dam system for entombing contaminants in a river. The dam system may include a preexisting structure, a dam, and a cap. The preexisting structure may be in the river and have associated therewith a contamination zone defined by a location of contaminants. The dam may be constructed upriver or downriver of the preexisting structure. The cap may be coupled to the preexisting structure and the dam. The cap may span and entomb the contaminants in at least a portion of the contamination zone.

The invention provides an endoscope mirror surface pollution identification and image restoration method and system, and the method comprises the steps: carrying out the real-time sensing and modeling of a pollution state, obtaining an original image of an endoscope mirror surface, and constructing a pollution model through multi-dimensional feature analysis, so as to sense the pollution state of the mirror surface in real time; constructing a virtual pollution layer, wherein the optimized transmissivity map, the estimated ambient light value, the point spread function and the identified pollution type form a tetrad; and carrying out pollution area reporting and confidence evaluation, carrying out binarization processing on the transmissivity graph, outlining the pollution area and carrying out highlight display, and comprehensively evaluating the image recovery confidence based on the pollution model matching degree and the compensated image naturalness. According to the method, the problems of noise amplification and structure distortion caused by one-step cutting of a traditional image enhancement algorithm are avoided, the restored image is closer to a real scene of the detected object, and the image restoration accuracy is remarkably improved.

The present application relates to a kind of simulation alpha, beta surface contamination monitoring training system and its monitoring method, the system includes simulation monitor, simulation plane radioactive source and simulation radioactive source setting device, data transmission between three parts is realized by wireless way.The system features is to use infrared grid panel to simulate plane radioactive source, and use positioning frame to ensure the detection state of simulation monitor.The monitoring method of the present application is that the surface contamination area and intensity of plane radioactive source are simulated using grid unit data, artificially set the area and intensity of surface contamination, real-time call and transmit grid unit data to fit the set contamination area and intensity, and the monitor receives the transmitted data and converts into simulated measurement value.The simulation plane source and the measurement of simulation plane source of the present application are practical, and the contamination condition of wall surface, desktop and ground can be simulated.The operation alarm measurement value display of simulation monitor is completely same as conventional monitor, and can give trainees immersive experience.

The application discloses a kind of absolute grating ruler pollution area identification and anti-pollution decoding reading method, first acquisition is decoded image and is preprocessed, and enhanced image is obtained;Then boundary detection is carried out to enhanced image, and candidate boundary and its integrity mark are obtained;Again, missing boundary is inserted between adjacent candidate boundary whose interval exceeds preset threshold value, and the integrity mark of missing boundary is determined to form final boundary sequence;Then, according to final boundary sequence, coding area is divided and initial binary coding sequence is generated;Again, according to integrity mark, the coding area of left and / or right boundary marked as broken boundary is judged as pollution area, and the rest is clean area;Finally, with the position index of the coding subsequence of clean area as constraint, in the reference grating coding sequence pre-stored, the candidate coding fragment most matched with initial binary coding sequence is searched in, and it is output as final decoding result;The application improves the decoding robustness and measurement reliability of grating ruler under harsh working conditions.

This invention discloses a collaborative intelligent water quality monitoring method using a dual-platform approach combining a drone and a biomimetic fish. It includes the following steps: The drone subsystem transmits the location and extent information of the initially screened contaminated area, along with spectral data, back to an intelligent remote monitoring platform in real time; a biomimetic fish precision detection task is generated, and the coordinates of the initially screened contaminated area and a preset monitoring path are sent to the biomimetic fish subsystem; the biomimetic fish subsystem collects measured data from the initially screened contaminated area and transmits the collected data back to the intelligent remote monitoring platform; based on the spectral data from the drone and the measured data from the biomimetic fish, data fusion is performed using spatiotemporal registration to obtain the fused contamination concentration inside and outside the contaminated area; an early warning level is automatically triggered according to the water quality anomaly level, and the coordinates of the contaminated area are pushed to the operation and maintenance terminal, completing the early warning response closed loop. This invention not only enables rapid response to pollution events and improves source tracing efficiency but also shortens the monitoring cycle.

This invention relates to the field of pollution detection technology, specifically to a method and apparatus for detecting pollution in golf clubs based on AI image recognition technology. The method includes: preprocessing acquired dual-environment images; performing regional correlation analysis based on the topological characteristics of the golf club structure to extract dual-environment spatial feature images; processing the dual-environment spatial feature images; decomposing the processed images to obtain multiple modal feature components; and inputting each modal feature component into a preset static image parsing channel to obtain dual-environment structured feature data. This invention generates personalized cleaning strategies based on the determined actual pollution point information, including matching suitable cleaning media and cleaning methods, thereby ensuring the targeted and effective nature of cleaning operations and reducing the impact on non-polluted areas.

The utility model discloses a pet defecation flushing device relates to pet article technical field, including drainage mechanism, the top of drainage mechanism is provided with the flushing mechanism, the flushing mechanism includes the column type vertical pole, the top fixed mounting of column type vertical pole has the bottom disc, the top fixed mounting of bottom disc has the water outlet cylinder, the inner chamber fixed mounting of water outlet cylinder has electric control valve, the input of electric control valve is fixedly connected with the water inlet pipe. The utility model discloses the bottom disc annular array of flushing mechanism opens a plurality of water outlets, and water source is controlled after passing through electric control valve, and from water outlet cylinder vertical downward annular flow is passed through water outlet, and even flows down along the outer wall of column type vertical pole, and only need to press the flush button to trigger electric control valve, realizes quick start and stop, and the water flow annular flow and down along the vertical pole, avoids splashing everywhere, reduces ground water stain residual, directly flushes the contaminated area to the characteristic of pet urine adhering vertical pole, improves the cleaning efficiency.

Aspects of inventive concepts are directed to a dam system for entombing contaminants in a river. The dam system may include a preexisting structure, a dam, and a cap. The preexisting structure may be in the river and have associated therewith a contamination zone defined by a location of contaminants. The dam may be constructed upriver or downriver of the preexisting structure. The cap may be coupled to the preexisting structure and the dam. The cap may span and entomb the contaminants in at least a portion of the contamination zone.

The invention discloses a design method for in-situ precise injection repair of a polluted site. The method comprises the following steps: step 1, investigating basic information of the site; 2, performing high-precision site investigation; step 3, partitioning the polluted site; step 4, setting and calculating partition injection parameters; 5, checking and optimizing partition injection parameters; step 6, performing partition accurate injection repair construction; and 7, repairing effect monitoring and optimization adjustment are carried out. According to the method, the polluted site is partitioned in the transverse direction and the longitudinal direction, and parameters such as the injection volume, the injection site number, the medicament preparation mass concentration and the like are determined in combination with high-precision investigation, so that accurate description of site characteristics in the partitions and accurate design of in-situ injection remediation of the polluted area can be realized; and meanwhile, by fusing the Internet of Things, artificial intelligence and a novel material technology, a sensing-decision-execution-verification closed-loop remediation system is constructed, and the method is suitable for soil and underground water remediation in various scenes such as organic pollution and heavy metal pollution.