444 results about "Pollution prevention" patented technology

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 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 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 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 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 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 fusion method of ground station monitoring and satellite remote sensing inversion PM2.5 data, and relates to the technical field of PM2.5 pollution prevention and control. Ground station data and satellite remote sensing data are subjected to time matching and space matching and then are fused by using a universal Kriging method to obtain a high-precision and large-area coverage PM2.5 product. The PM2.5 data spatial correlation is considered, so that the fusion result is closer to reality, the calculation complexity is reduced, and meanwhile, the reliability of the fusion result can be judged by giving an error after data fusion. According to the method, the limitations of insufficient spatial consideration and high calculation complexity of a traditional method are made up, and the PM2.5 product can be used for pollution process analysis, climate change and other researches.

The invention belongs to the technical field of crop pollution prevention, and particularly relates to a rice heavy metal adsorption and isolation method based on iron agent regulation and control. According to the method, the iron agent is applied to the polluted rice field soil to induce the soil-rhizosphere interface to form an iron film, heavy metals (such as As, Cu, Pb and Cd) are fixed by virtue of adsorption and complexing effects of the iron agent, and migration of the heavy metals to rice roots is reduced, so that accumulation of the heavy metals at edible parts (leaves and ears) of the rice is reduced; the tolerance of the rice in a polluted environment is enhanced; and the risk of heavy metals in a food chain is reduced. Experiments show; through treatment of an iron film formed by a certain iron-based concentration, accumulation of the heavy metals in the rice leaves can be remarkably reduced, and the accumulation amount of the heavy metals in the rice leaves is far lower than the accumulation amount (1 / 40-1 / 120) of the heavy metals in rice roots. The invention provides an effective solution for farmland soil remediation and crop safety production.

The utility model provides a self-service tableware distribution device which comprises a housing and at least one set of stock bin mechanism arranged in the housing, the stock bin mechanism comprises a tableware containing bin and a tableware blanking bin, the tableware containing bin is used for stacking and storing tableware, and the tableware blanking bin is sequentially provided with an upper mold, a middle mold and a lower mold. The three parts are respectively provided with channels for controlling the sequential falling of tableware; in the initial state, the middle mold is aligned with the upper mold and staggered with the lower mold, and when a user presses a switch or pulls tableware, channels between the molds are in linkage alignment, and a single piece of tableware is released to a taking position; the tableware head triggers the linkage assembly in the taking process, the middle mold is driven to reset, and preparation of the next piece of tableware is achieved. The device provided by the utility model is reasonable in structure, does not need to be electrically driven, completes tableware distribution by means of mechanical linkage, has the advantages of automatic control, single-support taking, sequential supply, pollution prevention and the like, and is suitable for cafeteria, shared kitchens, enterprise canteens and other scenes.

The invention relates to the field of atmospheric dust pollution prevention and environmental protection, and discloses a wharf dust emission monitoring grid clustering point distribution method based on uncertainty quantization, which comprises the following steps of: a, performing dust diffusion simulation by utilizing a pollutant diffusion model, and determining a dust comprehensive evaluation concentration; b, performing comprehensive evaluation and preliminary screening based on fuzzy evaluation to obtain candidate point distribution grids; c, the candidate point distribution grids are clustered, and the candidate point distribution grids are merged into categories; and step d, determining a final dust emission monitoring point according to the category. According to the method, the objective dust comprehensive evaluation concentration is calculated by introducing the GAUSSION diffusion model based on various meteorological scenes and occurrence probabilities, and subjective judgment depending on historical experience is replaced; and a fuzzy evaluation technology and an entropy weight method are utilized to carry out mathematical quantification on various uncertain factors, so that interference of human factors can be eliminated fundamentally, and a point distribution result is more reliable and representative.

The invention relates to the technical field of water supply network pollution monitoring, in particular to a water supply network water pollution rapid detection method. The method comprises the following steps: acquiring water supply pipe network operation data, extracting pipe network structure information, detecting a water flow direction, and constructing a water supply pipe network topological graph; on the basis of the topological graph and the operation demand data, the negative pressure overload condition of the pipe network is judged, the pipeline damage condition is estimated, then the conditions of external pollutant invasion and hydraulic unbalance are analyzed, and the pollutant backflow trend and the water flow retention area are determined; the conditions of microorganism breeding and internal water quality deterioration are evaluated by combining a water flow retention area and a pollutant backflow trend, and tracing and positioning of a pollution source are carried out; pipe network structure adjustment, water flow regulation and control and pollution prevention and control measures are implemented according to the pollution source tracing result, and optimization treatment of the water supply pipe network is achieved; optimization treatment of the water supply pipe network is achieved through pollution monitoring of the water supply pipe network.

The invention provides a method for estimating atmospheric heavy metal environmental capacity. The method comprises the following steps: acquiring basic topographic and meteorological data of a to-be-estimated target area; determining an atmospheric heavy metal emission scheme; obtaining the day-by-day grid-by-grid heavy metal concentration of the target area in the simulation year by adopting an air quality model; and calculating to obtain a non-carcinogenic risk quotient value and a carcinogenic risk quotient value, comparing with 1 to judge whether an atmospheric heavy metal emission scheme needs to be adjusted, and obtaining the atmospheric heavy metal environmental capacity of the emission source arrangement position until the non-carcinogenic risk quotient value or the carcinogenic risk quotient value is less than 1. According to the method, pollutant types are expanded from fine particulate matters and precursors thereof to atmospheric heavy metals, constraint based on pollutant concentration is promoted to constraint of crowd health, and a reasonable environmental capacity result is obtained by utilizing iterative calculation. According to the invention, the goal of atmospheric environmental pollution prevention and control work is improved from improvement of air quality to reduction of crowd health risks, and technical support is provided for cooperative emission reduction work of various pollutants.

The invention provides a dangerous waste landfill leakage emergency shield blocking and co-processing method and system, and relates to the technical field of underground pollution prevention and control and environment emergency treatment. On-site monitoring data are collected under the unified space-time reference, a pollution feather envelope line and shield curtain geometry are determined based on rapid inversion, a shield tunneling machine is driven to form a waterproof curtain, functional pipe pieces are arranged, an inward flow field is established in the curtain, and the water level difference and the negative pressure level are controlled in real time. The control terminal calculates a risk evaluation and dosage flow velocity instruction set according to the monitoring data and the extraction parameter set, and issues the risk evaluation and dosage flow velocity instruction set to the grouting, extraction and agent injection system to realize synchronous operation of curtain reinforcement and in-situ chemical repair; when the risk and repair indexes reach the standard, load reduction and plugging are carried out, and long-term monitoring is carried out. According to the method, rapid sealing control, dynamic repairing and intelligent decision making of the hazardous waste leakage area are achieved, and the accuracy of emergency disposal is improved.

The utility model discloses a sewage treatment sedimentation tank for preventing and controlling environmental pollution, relates to the technical field of sewage treatment, aims to solve the technical problem that suspended solids and impurities settled at the bottom of the tank are inconvenient to clean, and comprises a tank body, a cleaning mechanism arranged in the tank body and a collecting mechanism arranged on the cleaning mechanism, a second lead screw is arranged between the mounting plates, a second motor for driving the second lead screw is arranged at the side end of each mounting plate, the cleaning mechanism comprises a cleaning box, the cleaning box is located at the bottom of the pool body, impurity inlets are formed in the two side ends of the cleaning box, and scraper buckets are installed at the positions, located at the impurity inlets, of the two side ends of the cleaning box. And a first filtering mechanism and a second filtering mechanism are symmetrically arranged in the cleaning box. The sewage treatment sedimentation tank has the advantages that a novel tank bottom cleaning structure is provided, impurities at the bottom of the tank can be filtered and intercepted in the cleaning box in the moving process of the cleaning box, and the impurities at the bottom of the sewage treatment sedimentation tank can be conveniently cleaned.

An indoor pollution prevention system includes a plurality of gas detection modules, one or more intelligent control-driving processing devices, one or more gas-exchange processing devices, and one or more indoor cleaning and filtration devices. The gas-exchange processing device includes one or more flow-guiding component and a cleaning and filtration assembly. The intelligent control-driving processing device controls the operation of the indoor cleaning and filtration device in real-time under a surveillance condition, therefore the air pollution source in the indoor space passes through the indoor cleaning and filtration device, allowing the air pollution source in the indoor space to be filtered and exchanged to become a clean air.

The invention discloses a carbon emission prediction method and device based on iTransform, and the method comprises the steps: constructing an improved data preprocessing network based on data features, and carrying out the preprocessing of carbon emission data through the data preprocessing network; on the basis of the data preprocessing network, in combination with multivariable and non-stationary data features of the data preprocessing network, selecting an adaptive converter architecture, integrating a wavelet convolution module for capturing multi-scale features of data, and introducing a frequency enhancement channel attention mechanism to serve as an improved iTransform prediction network; inputting the preprocessed carbon emission data into an improved iTransform prediction network, and outputting a carbon emission prediction value at a future moment; pollution prevention and control are assisted based on the carbon emission prediction value, and environmental pollution is reduced. The device comprises a processor and a memory. According to the method, the accuracy of carbon emission content prediction in the future and the precise CO2 emission prediction capability are guaranteed, early warning and regulation prompts can be provided for related industries, emission reduction of each industry is supported, pollution prevention and control are assisted, then environment improvement is promoted, and the pressure of carbon emission on an ecological system is relieved.

The invention discloses a zoning collaborative air pollution monitoring method and system, and the method comprises the steps: obtaining multi-source basic data of a monitoring region, calculating a pollution risk index and an attention index, and carrying out the weighting, thereby obtaining a comprehensive priority; dividing into sub-regions of different levels according to the priority, and configuring devices of different types or sensitivities to form a monitoring network; gas concentration and video image data are collected, pollution event comprehensive confidence is generated through fusion analysis, and when the pollution event comprehensive confidence exceeds a threshold value, a pollution event is judged and early warning is performed; the pollutant diffusion trend is predicted based on early warning, and a linkage control instruction for the treatment equipment is automatically generated; a two-factor dynamic partition model fusing pollution risks and regional attention is constructed, and a Bayesian fusion judgment algorithm that only results can be recognized by gas sensing data and videos is combined, so that complete closed-loop control from intelligent point distribution, accurate sensing and traceability prediction to automatic linkage is formed; and the overall efficiency and sustainability of regional pollution prevention and control are remarkably improved.

The invention provides a new pollutant classification prediction method and a related device, and relates to the technical field of new pollutant classification. Comprising the following steps: collecting chemical information (molecular structure, molecular fingerprint and physicochemical property) of a target pollutant and carrying out standardization treatment; preliminary classification is calculated based on Tanimoto similarity; simulating a migration path and a conversion behavior of the pollutants in the environment by using a graph neural network; multi-mechanism comprehensive evaluation is carried out by comprehensively considering durability, mobility and biological accumulation; introducing an environmental factor correction model, and correcting scores according to parameters such as temperature, pH value and dissolved oxygen concentration; integrating the molecular structure, the migration path, the mechanism characteristics and the environment correction result, and calculating a final classification prediction value; and dividing risk levels (high, medium and low risks) according to predicted values. Pollutant risks are comprehensively assessed through a machine learning technology, the assessment precision and reliability are improved, and a scientific basis is provided for pollution prevention and control.

The invention relates to a data fusion and updating method for soil and groundwater pollution, and the method comprises the steps: obtaining historical four-dimensional data which comprises historical industry production data, historical pollution monitoring data, historical policy and regulation data, and historical literature research data; constructing a metadata blood relationship graph based on historical four-dimensional data; obtaining pollution prevention and control result information based on the metadata blood relationship graph; obtaining current four-dimensional data, wherein the current four-dimensional data comprises current industry production data, current pollution monitoring data, current policy and regulation data and current literature research data; and updating the pollution prevention and control result information based on the current four-dimensional data and metadata blood relationship graph to obtain target pollution prevention and control result information. The whole process of soil and groundwater pollution in the non-ferrous metal smelting industry can be analyzed, prevented and controlled by combining multi-modal data, so that the scientificity and effectiveness of pollution prevention and control are improved.

The invention provides a low-hill mountainous area non-point source pollution intelligent prevention and control and gradient utilization system, and relates to the technical field of low-hill mountainous area agricultural non-point source pollution prevention and control. The system comprises a drainage ditch, a water quality on-line monitoring module, an intelligent gate, a multi-stage ecological ditch pond, a direct drainage channel, an internet-of-things intelligent management and control platform and a stepped rice field. The system drives the intelligent gate to perform diversion according to a pollution index threshold value based on monitoring data, high-pollution water enters the multi-stage ecological ditch pond to be purified, low-pollution water is discharged through the direct discharge channel, and purified tail water is reused for the cascade rice field. Self-flow conveying is achieved by means of the regional height difference, a collaborative prevention and control mechanism of process interception, tail end purification and resource recycling is constructed, scientific prevention and control of pollution, intelligent management and efficient utilization of resources are achieved, the non-point source pollution treatment effect is remarkably improved, and continuous circulation of water and fertilizer resources is promoted.

The utility model relates to the field of portable sewage suction filtration devices, and discloses a portable sewage suction filtration device for water environment pollution control, which comprises a portable sewage suction filter, a support frame is fixedly mounted at the bottom of one side of the portable sewage suction filter, and a collection bottle is placed on the upper surface of the support frame. A supporting table is fixedly mounted on one side of the upper surface of the portable sewage suction filter, a filter box is mounted on the upper surface of the supporting table, a plurality of mounting grooves are formed in the bottom of one side of the outer surface of the filter box, placing frames are mounted in the mounting grooves, filter paper is placed in the placing frames, and sealing clamping blocks are mounted outside the positions, penetrating through openings of the mounting grooves, of one sides of the placing frames. According to the portable sewage suction filter, a plurality of pieces of filter paper are mounted in the filter box through the placement frame, so that the effect of conveniently replacing the filter paper is achieved, the overall filtering effect of the filter box on sewage is improved, the problem that the filter paper is blocked by impurities to affect the collection of filtered water by a collection bottle is solved, and the overall use efficiency of the portable sewage suction filter is improved.

This invention discloses a method and system for dust suppression during the loading of dry bulk cargo on railway lines. The method includes: if loading operations are detected to have commenced on the main railway line, determining the area to be suppressed based on on-site loading data; acquiring environmental information corresponding to the area to be suppressed, including wind direction information; determining the items to be loaded based on the on-site loading data, and determining the corresponding moisture content of the items; determining a control strategy for a spray system based on the wind direction information, moisture content, and the area to be suppressed, and adjusting the operating parameters of the spray system based on the control strategy to suppress dust during the loading process. This invention achieves precise control of dust pollution during railway loading, overcoming the limitations of traditional fixed dust suppression methods, and significantly improving pollution prevention efficiency and resource utilization effectiveness.

The utility model relates to the technical field of automation equipment, in particular to a jacking, lifting and carrying mechanism which comprises a linear motor module, the linear motor module is connected with a UVW alignment table, and the linear motor module drives the UVW alignment table to linearly move back and forth; jacking air cylinders are arranged on the two sides of the UVW alignment table and connected with jacking suction rods, and the jacking air cylinders drive the jacking suction rods to ascend and descend. A suction rod lifting groove is formed in the UVW alignment table, the jacking suction rod is located in the suction rod lifting groove, and the jacking suction rod can stretch out of the suction rod lifting groove. Compared with the prior art, the suction rod lifting groove is formed in the UVW alignment table of the jacking, lifting and carrying mechanism, the jacking suction rod is located in the suction rod lifting groove, and the jacking suction rod can stretch out of the suction rod lifting groove to lift materials on the UVW alignment table by a certain height so as to leave the upper surface of the UVW alignment table; and therefore, the carrying assembly can be conveniently contacted with the materials from the lower part for carrying, material surface contact and pollution prevention are facilitated, and continuous and normal production is facilitated.

The present application relates to a kind of high nutrient high activity chemical fertilizer biological compound fertilizer and its preparation and application, belong to agricultural fertilizer technical field.The high nutrient high activity chemical fertilizer biological compound fertilizer of the present application includes inorganic fertilizer and microbial inoculant, the nitrogen phosphorus potassium nutrient content of the chemical fertilizer biological compound fertilizer is greater than 40%, and microbial viable count is above 200 million cfu / g, also includes microbial protective agent, the mass ratio of the microbial protective agent and microbial inoculant is ≥1.The high nutrient high activity chemical fertilizer biological compound fertilizer product of the present application realizes the deep compound of chemical fertilizer and active microorganism, has multiple efficacy of chemical fertilizer and microbial fertilizer, overcomes the neck blocking technical problem that chemical fertilizer and microbial fertilizer are incompatible in production, storage and transportation, use process, significantly improves chemical fertilizer utilization efficiency, reduces fertilizer use cost, solves the problem that microbial fertilizer cannot be generally used in field crops, integrates fertilizer yield and quality improvement, fertile soil and pollution prevention and other functions.

The utility model discloses an industrial atmospheric pollution prevention and control device which comprises a body component which comprises a device shell, an air inlet, an air outlet and a supporting seat. The fixing part comprises a control frame, a filtering and purifying net, a lower positioning frame, a rotating rod, a grip, an upper positioning frame, an external thread, an internal thread ring and a limiting block, the rotating rod is connected to the middle of the inner surface of the device shell, the external thread is connected to the lower portion of the outer surface of the rotating rod, and the internal thread ring is connected to the outer surface of the external thread through a thread. The lower portions of the two sides of the outer surface of the internal thread ring are connected with grips. The utility model discloses a pollution control device, and aims to solve the problems that in actual operation of an existing pollution control device, waste gas is exhausted after being purified by utilizing an internal filtering structure, the filtering structure is generally mounted and fixed by adopting a fastener, and after the fastener is repeatedly disassembled and assembled, the filtering structure and the fastener slightly shake due to abrasion, so that the device is unstable in operation.

The application discloses a magnetic LDH biochar as well as a preparation method and application thereof, and belongs to the technical field of pollution prevention and control. The preparation method of the magnetic LDH biochar comprises the following steps: sequentially performing puffing treatment and pyrolysis carbonization treatment on iron-containing biomass to obtain magnetic biochar; mixing a magnesium salt solution and the magnetic biochar, and then performing hydrothermal reaction to obtain magnetic loaded iron-magnesium hydrotalcite biochar; mixing the magnetic loaded iron-magnesium hydrotalcite biochar and a nitrogen source, and then heating and doping to obtain the magnetic LDH biochar. The magnetic LDH biochar prepared by the application can adsorb dissolved oxygen around the carbon material, improve the mass transfer efficiency and dissolved oxygen utilization rate of microbial degradation of pollutants in the artificial wetland, rapidly enrich oxygen, increase the dissolved oxygen concentration of the water body, has the advantages of low energy consumption, difficulty in blocking, high nitrogen and phosphorus removal efficiency and the like, and when the magnetic LDH biochar is applied to the intermittent aeration artificial wetland, the nitrogen and phosphorus treatment performance of the artificial wetland can be effectively strengthened.

The utility model relates to the technical field of disposable paper cups, and provides an anti-pollution universal disposable paper cup taking device which comprises a paper cup cylinder, a fixing ring is fixed to the lower end of the paper cup cylinder, an adjusting assembly is fixed to the bottom face of the fixing ring, and the adjusting assembly comprises a first shell, a second shell, a movable plate and an adjusting disc. The first shell is fixed to the bottom face of the fixing ring, a fixing block is fixed to the inner wall of the upper end of the first shell, a limiting buckle is fixed to one end of the fixing block, a first protruding block is fixed to the outer wall of the limiting buckle, a notch is formed in the outer wall of the first shell, and a second shell is fixed to the lower end of the first shell. The adjusting disc is rotated through the handle, the four movable plates can be driven to move, the size of the space among the four supporting buckles is controlled, and therefore the paper cup holder is suitable for disposable paper cups of different sizes, pollutants can be well isolated through the dustproof cover and the brush sealing ring, it is guaranteed that the paper cups are clean and sanitary, and the paper cup holder has high practicability.

The invention relates to the technical field of test sample collection, in particular to an anti-pollution collection device for excrement and urine test samples. Comprising a sampling unit, the sampling unit comprises a sampling bedpan, and a urine sampling pool and an excrement sampling pool are arranged at the top of the sampling bedpan; the bottoms of the urine sampling pool and the excrement sampling pool are respectively communicated with a group of movable hoses, and the output ends of the two groups of movable hoses are respectively and movably connected with an excrement treatment unit and a urine treatment unit. Manual transfer and touch are not needed in the whole process, other external containers are not needed for transfer, excessive contact with external air is avoided, excrement and urine samples can be separately collected at the same time, the functionality of the device is improved, meanwhile, the purpose of pollution-free collection is achieved, the accuracy of follow-up inspection is guaranteed, and the detection efficiency is improved. And the automation degree of the device is also improved.