1286 results about "Mildew" patented technology

The invention discloses a fresh corn circulation mildew-proof and quality-guaranteeing method based on intelligent monitoring, and particularly relates to the technical field of agricultural product circulation management.The method comprises the steps that quality data are collected through image, gas, humidity, temperature and microorganism multi-source sensing means, and a quality degradation trend curve and a risk grade score are generated in combination with a time sequence modeling algorithm; identification parameters are automatically adjusted in a high-humidity or oscillation environment, so that early-stage mildew identification accuracy is improved; a high-risk batch is identified through multi-dimensional cross analysis, and a circulation suspension response is triggered; the whole-process data is uploaded to a management platform, so that a traceable quality record is formed, and whole-process dynamic monitoring and closed-loop control are realized; according to the method, recessive mildew is recognized through multi-modal perception, the shelf life is predicted and evaluated through trend, the recognition stability is dynamically adjusted and improved, a chain type data tracing mechanism is constructed to achieve model self-evolution, the quality early warning, risk control and continuous optimization capacity in the whole fresh corn circulation process is improved, and it is ensured that the quality guaranteeing and mildew preventing effects are accurate and reliable.

The invention relates to the technical field of tobacco logistics and intelligent control, and discloses an intelligent temperature and humidity regulation and control system and method for tobacco transportation, and the system comprises a multi-dimensional environment sensing module, a self-adaptive strategy generation module and a closed-loop efficiency verification module. The method comprises the following steps: capturing three-dimensional space parameters in a transportation carrier in real time through distributed sensing nodes, outputting a structured environment situation matrix, and providing a space-time reference for a regulation and control decision; after receiving the environmental perception data, executing dynamic strategy optimization, establishing a transportation stage-spatial position two-dimensional regulation and control strategy library, processing sensitivity differences of tobacco leaves in different regions by adopting an asymmetric weighting algorithm, and generating a regulation and control scheme containing a gradient regulation instruction; real-time evaluation and strategy iteration of the regulation and control effect are achieved, microenvironment response detection is deployed, tobacco physical characteristic change data are collected, and a triangular verification model is constructed. The method effectively controls moisture content distribution, inhibits browning and mildew risks, and maximally retains tobacco leaf quality characteristics.

The invention discloses a method and a system for rapidly screening peanut endophytic mildew, particularly relates to the technical field of nondestructive testing of agricultural products, and is used for solving the problems of false detection and missing detection caused by low contrast and gradient boundary in an initial mildew stage and an internal diffusion sample in an existing detection method. Based on a hyperspectral imaging technology, a filtering kernel size is dynamically adjusted through conjoint analysis of frequency domain energy distribution and spatial local variance, and detail features of a gradient boundary in an image are enhanced; verifying and screening high-confidence candidate regions by adopting spectrum and spatial feature consistency, analyzing and extracting principal component features representing a mildew diffusion trend in combination with a texture direction, and dynamically splicing the principal component features with a spectrum gradient direction to construct a fusion feature vector; quantizing boundary confidence through a Bayesian probability classification model, combining with a neighborhood similarity constraint region growing algorithm to generate a mildewed mark graph with continuous space and consistent features, and introducing a dynamic threshold correction mechanism to adaptively optimize a segmentation standard; and the detection precision and the anti-interference capability of the fuzzy boundary are improved.

The invention discloses a traditional Chinese medicinal material quality evaluation method and system based on big data analysis, and relates to the field of traditional Chinese medicinal material detection, and the main scheme is as follows: obtaining soil parameter data of different medicinal material planting areas, and analyzing to obtain a soil fertility index and a planting suitability index; obtaining effective component contents of the traditional Chinese medicinal materials, and calculating effective component predicted values of the traditional Chinese medicinal materials; calculating a machining process stability index by analyzing the machining process parameters; calculating a mildew evaluation index according to the environmental mildew data and the medicinal material mildew data in the storage environment; a quality evaluation comprehensive index is obtained through comprehensive analysis; comparing the quality evaluation comprehensive index with a quality evaluation comprehensive index threshold value, judging whether the comprehensive quality evaluation of the traditional Chinese medicinal materials is qualified or not, and if the comprehensive quality evaluation is not qualified, judging a link causing a quality problem; the problems that a traditional Chinese medicinal material quality evaluation method in the prior art focuses on a single component and only focuses on the quality of traditional Chinese medicinal materials in a certain specific link are solved.

The invention discloses a traditional Chinese medicinal material condition feature extraction and classification processing method and system, and the method comprises the following operation steps: collecting a medicinal material image of gastrodia elata, and carrying out the preprocessing of the medicinal material image of gastrodia elata to obtain a to-be-detected medicinal material image; performing edge detection on the to-be-detected medicinal material image to extract contour information to obtain a to-be-detected edge image; and extracting multi-scale mildew features of the to-be-detected edge image, and identifying abnormal defects of the rhizoma gastrodiae medicinal material image through the multi-scale mildew features. According to the invention, multiple features are extracted from the abnormal region of the to-be-detected edge image, so that mildew can be judged, and missing detection can be prevented according to recognition of holes.

The embodiment of the invention discloses a poison supplement information generation method, system and device and a storage medium. The poison supplement information generation method comprises the steps that poison bait station identifiers, historical supplement information and environment parameters of all poison bait stations are obtained; calculating a toxic material consumption speed according to the historical material supplementing information, calculating a mildew index according to the environmental parameters, and determining mildew time corresponding to the mildew index; calculating the total weight of the toxic materials according to the toxic material consumption speed and the mildew time, comparing the total weight of the toxic materials with a preset weight threshold value, determining the supplementing weight of the toxic materials based on a comparison result, determining the toxic material consumption speed or the mildew time as a target calculation parameter, and calculating a toxic material supplementing period according to the target calculation parameter; and generating poison supplement information based on the poison supplement period, the poison supplement weight and the poison bait station identifier. The poisonous material management effect is improved, and the situation that poisonous materials go mouldy and deteriorate to affect the mouse trapping effect and cause poisonous material waste is avoided.

The invention relates to the field of essential oil slow release, and discloses a mildew-proof tablet containing plant essential oil and a preparation method and application thereof.The mildew-proof tablet containing the plant essential oil comprises two epidermal layers and an essential oil slow-release layer arranged between the two epidermal layers, the preparation method comprises the following steps: grafting sodium abietate and aminated mesoporous silica to prepare functionalized mesoporous silica, loading plant essential oil on the functionalized mesoporous silica to obtain a core material, introducing dihydroxyl polyhedral oligomeric silsesquioxane into a polyurethane main chain, wrapping the core material to prepare an essential oil slow-release agent, taking lignin as a base material, taking the essential oil slow-release agent as an effective component, and preparing the essential oil slow-release agent. And preparing to obtain the essential oil slow-release layer. The prepared essential oil slow-release layer can achieve the effects of essential oil slow release and antibiosis and mildew prevention, the slow-release effect is remarkable under the normal-temperature and high-temperature conditions, the good slow-release effect is still kept in the humid environment, and the efficacy period of the material is greatly prolonged.

The invention relates to the technical field of environment control, in particular to an intelligent mildew-proof system and a mildew-proof and moisture-proof product, and the system comprises an evaporation trend monitoring module, a wet area path identification module, a retention risk identification module, a stress grade judgment module and a linkage adjustment archiving module. According to the method, through comprehensive collection and difference analysis of environment parameters of air duct nodes and superposition of air velocity and dew point change trends, humidification trend data with time sequence and spatial flow direction characteristics are constructed, wet flow direction consistency and a wind speed disturbance track in a continuous time window are combined, a wet area expansion path is identified, and a key diffusion section is positioned; through extracting deviation information between a regional equipment response state and a risk level intervention demand, linkage intervention of a fan and dehumidification is realized, accurate adjustment and dynamic recording of multi-parameter cooperative control are completed, fine identification capability of a wet region evolution and retention trend is enhanced, and initiative and adaptability of space humidity control response are improved.

The invention provides bacillus velezensis NR10, and the preservation number of the bacillus velezensis NR10 is CGMCC (China General Microbiological Culture Collection Center) NO.31771. The bacillus velezensis NR10 is a strawberry endophyte, has good bacteriostatic activity, has good antagonistic action on botrytis cinerea, fusarium oxysporum, colletotrichum gloeosporioides, colletotrichum oxysporum, trichoderma harzianum, trichoderma longibrachiatum and the like, is a potential biological preparation for preventing and treating strawberry diseases and the like, and has broad application prospects. And the bacteriostatic action of the bacillus velezensis NR10 has thermal stability. In addition, the bacillus velezensis also has good capacities of producing siderophores, fixing nitrogen and dissolving potassium, producing protease and cellulase and the like. The bacillus velezensis NR10 provided by the invention has wider-spectrum disease resistance, wide development space and good development and application prospects.

The invention discloses a cottonseed mildew probability prediction method based on a multi-input deep learning model. The method comprises the following steps: acquiring a high-resolution image and near infrared spectrum data of a cottonseed and microbial activity, temperature and humidity and conductivity data in a cottonseed storage environment; preprocessing the high-resolution image, the near infrared spectrum, the microbial activity, the temperature and humidity and the conductivity data; and based on the preprocessed data, utilizing a multi-input deep learning model to predict the cottonseed mildew probability. According to the cottonseed mildew probability prediction method, high-resolution images and near infrared spectrum data of cottonseeds and multiple data sources such as microbial activity, temperature and humidity and conductivity in a storage environment are fused, and feature extraction and fusion are performed by using a specially designed deep learning architecture, so that accurate prediction of the cottonseed mildew probability is realized; and effective guarantee is provided for cotton seed storage management and quality control.

The invention discloses a granary monitoring system and method, and relates to the technical field of granary monitoring, and the system comprises a scanning device which is disposed at the top of a granary and is used for scanning the surface of grain in the granary to obtain grain feature information; the plurality of temperature detection devices are deployed in the transverse direction of the top of the granary, the temperature detection devices extend downwards to the bottom of the granary, the temperature detection devices are provided with a plurality of temperature sensors in the longitudinal height direction of the granary, and the temperature sensors are used for collecting temperature information of different positions in the granary; and the control module communicates with the scanning equipment and the temperature detection equipment, and processes the received grain feature information and the temperature information at different positions so as to obtain an effective temperature value of the grain in the granary and position information corresponding to the effective temperature value. The technical problem that the real temperature of the grain cannot be accurately monitored in real time in the prior art, so that the grain is easy to mildew is solved.

The invention discloses a method for monitoring and early warning abnormal behaviors in a granary. The method comprises the steps that image information in the granary is extracted in real time through a camera device; the image information is analyzed, and abnormal behaviors in the granary are judged in a one-to-one correspondence mode in combination with multiple preset analysis algorithms; in combination with a multi-level early warning mechanism, the abnormal behaviors are graded to form abnormal behavior levels; different early warning levels are formed according to different abnormal behavior levels, and an early warning is given to management personnel of the granary; wherein the abnormal behaviors comprise grain surface transaction, region invasion, environment change, pests and mildew. Through real-time monitoring and intelligent analysis and in combination with a multi-stage early warning mechanism, instant detection and quick response of various abnormal behaviors in the granary are realized, the monitoring efficiency and safety are remarkably improved, meanwhile, the workload of management personnel is relieved, effective utilization and reasonable allocation of resources are ensured, small problems are prevented from being evolved into large accidents, and the system is suitable for popularization and application. And an important reference is provided for future risk management.

The utility model discloses a demersal roe hatching device, which relates to the technical field of roe hatching and comprises a hatching container, a hatching sieve bed, a weeping pipe and an overflow pipe, the overflow pipe and the hatching sieve bed are arranged in the hatching container, the top of the hatching container is open, the weeping pipe is arranged above the hatching container and communicated with a water inlet pipe, and a sieve is laid in the hatching sieve bed. Meshes of the screen mesh are smaller than the diameter of the fertilized eggs, so that the fertilized eggs can be flatly laid on the screen mesh before incubation, and the incubation screen bed is at least 10cm lower than an overflow port of the overflow pipe. The fertilized eggs can be flatly laid on the screen in the hatching screen bed in the middle layer of the water body, it is guaranteed that each fertilized egg can obtain sufficient dissolved oxygen supply of the water body, the development requirement is met, hatched fries can fall into the bottom of the hatching container from the screen in time, and the hatching efficiency is improved. Dead eggs and egg shells can be effectively prevented from being infected with water mildew to harm development of other normal fertilized eggs, the work intensity of manually picking up the dead eggs in a traditional hatching mode is reduced, and the hatching rate of the fertilized eggs and the survival rate of juvenile fishes are increased.

The invention discloses a cereal grain mildew detector based on a gas sensor array, the cereal grain mildew detector comprises a volatile matter accurate sensing unit and a volatile matter characteristic analysis unit, the volatile matter accurate sensing unit comprises a gas sensor array, a sensing chamber and a volatile matter sensing channel, and the volatile matter accurate sensing unit is used for accurately acquiring volatile matter characteristics; the volatile matter feature analysis unit comprises a response feature conversion module and a mildew detection module, the response feature conversion module converts response features of the gas sensor array into storable and processable digital signals, and whether the grains are mildewed or not is recognized in real time in combination with a mildew detection model. The method solves the problem of poor sensing data stability caused by the sensitivity consistency of a sensor array, can stably and accurately sense the characteristics of grain grain mildew volatile matters, and analyzes grain grain mildew information in real time in combination with a grain grain mildew detection model.

The invention relates to the technical field of building decoration materials, in particular to a high-performance antibacterial mildew-proof sealant and a preparation method thereof. The sealant is prepared from the following raw materials in parts by weight: 20 to 30 parts of silane modified polyurethane, 40 to 50 parts of nano calcium carbonate, 20 to 30 parts of a plasticizer, 3 to 7 parts of a hydroxyl silane coupling agent, 0.4 to 0.8 part of a mildew preventive, 0.3 to 0.7 part of an ultraviolet light absorber, 0.3 to 0.7 part of a de-foaming agent and 0.8 to 1.2 parts of a first catalyst. The high-performance antibacterial and mildew-proof sealant has long-acting antibacterial and mildew-proof performance, and excellent mechanical performance and weather resistance of the sealant can be maintained, so that the requirements of industries such as building, medical treatment and food processing on high-performance, healthy and environment-friendly sealing materials are met; and the preparation method is simple and controllable, the production cost is relatively low, and large-scale production can be realized.

The invention discloses a pseudo-ginseng seed storage method, relates to the technical field of seed treatment, and aims to solve the problems that pseudo-ginseng seeds are difficult to store, easy to lose vigor and severely mildew.The pseudo-ginseng seed storage method adopts a specially-made bionic microenvironment packaging unit to wrap the seeds, the inner layer of the specially-made bionic microenvironment packaging unit contains a moisture slow-release agent, and a bacteriostatic agent and active substances needed by germination can be intelligently released in a staged mode; the outer layer of the seed packaging box is a selective breathable film which integrates humidity and microbial contamination state indication functions and stress buffer characteristics, then the packaged seed is placed in an intelligent regulation and control storage cabin, and the temperature and humidity are accurately regulated and controlled by the storage cabin; gas components (such as low oxygen, high carbon dioxide or ozone) regulation and control, efficient air filtration and an intelligent monitoring and remote management system can be selected, the service life of the seeds can be remarkably prolonged, high germination rate and activity are kept, mildew is effectively inhibited, physiological after-ripening and germination are optimized, and intelligentization, standardization and refinement of seed storage management are achieved.

The invention discloses a new energy power generation prediction method based on weather data, and the method comprises the following steps: a, carrying out the characteristic analysis of a raw material, collecting the physical characteristic parameters of a biomass raw material, including the heat value of a dry basis, the moisture content of a wet basis and the mass, and generating an initial power generation prediction through a thermodynamic model; b, a distributed temperature and humidity sensor network is deployed in a raw material storage area, temperature, humidity and rainfall data are collected in real time, and the raw material mildew rate and moisture content change are dynamically predicted in combination with environmental parameters; through multi-dimensional data perception, multi-physical field coupling modeling and an intelligent decision engine, dynamic prediction of the raw material quality and the transportation efficiency in biomass energy power generation is realized, the power generation capacity prediction error is reduced, meanwhile, the raw material loss is reduced, and a key technical support is provided for large-scale efficient utilization of biomass energy power generation in new energy power generation.

The invention provides a preparation method of an environment-friendly preservative for preparing a dog fur specimen, and belongs to the field of animal specimen preparation. According to the preservative, natural plant extracts are combined with low-toxicity chemical components, so that the original color and form of a specimen can be kept, and excellent corrosion resistance, mildew resistance and worm damage resistance are provided. Compared with a traditional formaldehyde preservative, the preservative disclosed by the invention has the advantages of low toxicity, small smell, safety in operation and the like, and is suitable for long-term preservation of marine animal specimens in museums, scientific research institutions and related units.

The invention provides application of candida tropicalis and a preparation thereof in prevention and treatment of tobacco mildew, and belongs to the technical field of microorganisms. A strain of candida tropicalis is named as candida tropicalis 2-17, the preservation number of the candida tropicalis 2-17 is CCTCC NO: M 20242184, a microbial preparation prepared from the candida tropicalis can inhibit growth of main mould in tobacco leaves, and the candida tropicalis has good application potential for biological prevention and treatment of tobacco leaf mould.

The invention discloses a nucleic acid product, a kit and a method for detecting aspergillus and application of the nucleic acid product, the kit and the method in detecting mildewed tobacco leaves. The nucleic acid product comprises a primer pair and a probe for detecting aspergillus, the primer pair comprises an upstream primer with a nucleotide sequence as shown in SEQ ID NO: 1 and a downstream primer with a nucleotide sequence as shown in SEQ ID NO: 2, and the nucleotide sequence of the probe is as shown in SEQ ID NO: 3. The nucleic acid product can specifically detect aspergillus, can realize rapid detection of tobacco mildew based on qPCR technology, has high sensitivity, simple operation, low cost and fast detection speed, can complete the whole detection process within several hours, does not need uncapping in amplification and detection processes, and avoids aerosol pollution caused by uncapping detection in common PCR.

The invention relates to the technical field of paperboard products, and discloses an environment-friendly mildew-proof and antibacterial corrugated paperboard and a preparation method thereof. The quaternary ammonium salt substance of the modified terminal isocyanate polyurethane can attack the cell membrane or cell wall of microorganisms, so that the cell membrane function is affected and irreversible damage is caused to the structure of the microorganism organelles. The chemical element S is contained in the structure and has strong oxidizing and reducing properties, so that the cell membrane of microorganisms can be destroyed, organic matter can be decomposed, and the metabolism and growth environment of molds can be destroyed. The epoxy group and isocyanate group of the modified terminal isocyanate polyurethane can react with the hydroxyl group and carboxyl group on the surface of oxidized cassava starch, and at the same time, the dimethylol urea and oligomers in the urea-formaldehyde resin undergo cross-linking reaction with the hydroxyl group in the starch molecules to form a cross-linked network structure, so that water molecules are prevented from penetrating into the paper, thereby improving the bonding strength and water resistance of the corrugated paperboard.

The invention relates to a reinforcement learning-based granary ventilation energy consumption optimization system and method, in particular to the field of granary ventilation energy consumption optimization, and can effectively improve the intelligent level of granary ventilation control by setting a data acquisition and fusion module, a state space construction module, a reinforcement learning training module and a real-time decision and feedback module. Accurate perception and decision-making of a dynamic environment are realized through cooperative work of multiple modules, the system adaptively optimizes a ventilation strategy by using a reinforcement learning technology, energy consumption is remarkably reduced, meanwhile, it is ensured that the temperature and humidity in a granary are stabilized in a safe range, the grain mildew or qualitative change risk is avoided, and the system has high practicability. The online learning ability of the method can continuously adapt to external weather changes and grain condition dynamic states, closed-loop optimization is formed, and finally energy consumption minimization is achieved on the premise that grain storage safety is guaranteed.

The invention discloses bacillus amyloliquefaciens with the characteristic of inhibiting mould growth and application of the bacillus amyloliquefaciens, and belongs to the field of microorganisms and fermentation engineering, the bacillus amyloliquefaciens is preserved in China General Microbiological Culture Collection Center on August 5, 2024, and the preservation number is CGMCC No.31538. The strain is bacillus amyloliquefaciens obtained by screening, separating and purifying from peasant pickles, and the strain can inhibit the growth of escherichia coli, clostridium perfringens and mould. The bacillus amyloliquefaciens disclosed by the invention solves the problem of insufficient effect of a microorganism mildew-proof method of the existing fermented feed, and the bacillus amyloliquefaciens is added into the biological fermented feed, so that the quantity of harmful microorganisms in the biological fermented feed can be effectively reduced, the generation of mycotoxin is inhibited, the feed is prevented from mildewing and going bad, and the shelf life of the feed is prolonged.

The present application relates to a glass mildew-proof isolation powder and a preparation method thereof. The components of the glass mildew-proof isolation powder include: soluble starch, potassium sorbate, sodium ascorbate and an antiseptic water absorbent; the antiseptic water absorbent includes at least one of boric acid, polybasic organic acid and polybasic organic acid salt. Soluble starch can isolate and protect the glass surface, potassium sorbate can play a role in inhibiting bacteria and mildew, sodium ascorbate can inhibit the weathering of the glass surface, and the addition of an antiseptic water absorbent composed of at least one of boric acid, polybasic organic acid and polybasic organic acid salt can play a role in preventing corrosion of the glass surface, which is conducive to absorbing moisture in the air and preventing moisture from weathering the glass surface. Furthermore, it can also form a synergistic effect with sodium ascorbate to enhance the effects of anti-oxidation, inhibiting mold growth, and preventing oxidation and weathering of the glass surface.

The invention relates to the technical field of coatings, and discloses an antibacterial and mildew-proof photocureable coating, which is prepared from the following raw materials in percentage by mass: 49 to 60 percent of photocureable resin, 27 to 40 percent of ultraviolet curing monomer, 3 to 7 percent of photoinitiator and 0 to 15 percent of additive, and the content of the additive is not 0; the additive is an aromatic aldehyde compound. According to the antibacterial and mildew-proof photocureable coating comprising the photocureable resin, the ultraviolet curing monomer, the initiator and the additive, the raw materials are limited in a specific range, and the aromatic aldehyde compound is used as the additive, so that the antibacterial and mildew-proof photocureable coating has a good mildew-proof effect; and the curing strength of the cured coating can be effectively improved.

The utility model relates to a textile polyester fabric with moisture-proof and antibacterial effects, which comprises a base layer, a mildew-proof layer arranged on the base layer, a waterproof layer arranged on the mildew-proof layer, a fiber layer arranged on the waterproof layer and a breathable layer arranged on the fiber layer. Gas and water entering the cloth are purified, adsorbed and dried, bacteria can be prevented from directly entering the cloth through the through holes and the vent holes which are arranged in a staggered mode, the tensile property of the cloth is improved through the elastic protrusions, the entering water is dried through the drying particles, and the waterproof and mildewproof effects of the cloth are improved.

The invention discloses a mildew-proof green-keeping agent for bamboo wood, a preparation method and application. The preparation method of the bamboo wood mildew-proof green-keeping agent comprises the following steps: S1, adding chitosan into an acetic acid aqueous solution, and stirring until the chitosan is dissolved to obtain a mixed solution A; s2, adding copper salt into deionized water, and stirring until the copper salt is dissolved to obtain a mixed solution B; s3, adding cinnamyl aldehyde into an ethanol water solution, and stirring until cinnamyl aldehyde is dissolved to obtain a mixed solution C; and S4, the mixed solution A, the mixed solution B and the mixed solution C are mixed at the same time, stirring is conducted again under the water bath condition till the cinnamyl aldehyde chitosan copper is obtained through a reaction, and the cinnamyl aldehyde chitosan copper serves as the mildew-proof and green-keeping agent for the bamboo wood. Bamboo obtained through the treatment method is better in green-keeping and mildew-proof effects, bamboo green of the bamboo treated through the mildew-proof green-keeping agent is dark green, the bamboo can be kept green indoors and outdoors for a long time, the efficient mildew-proof performance is achieved, the treatment method is simple, and the mildew-proof green-keeping agent is non-toxic and harmless.

The invention provides antibacterial and mildew-proof corrugated paper and a preparation method thereof, and belongs to the technical field of packaging materials. According to the corrugated paper, the efficient antibacterial agent is doped into the paper base material, and the paper base material is packaged through a microcapsule technology, so that uniform distribution and long-acting release of the antibacterial agent in the paper are ensured. The preparation process comprises the steps of paper pulp preparation, antibacterial agent preparation, raw paper preparation, antibacterial protection layer coating, corrugated paper forming and the like. The antibacterial and mildewproof corrugated paper has excellent antibacterial and mildewproof effects, can keep good physical properties, is suitable for packaging products such as food, medicines and cosmetics with strict requirements on sanitary conditions, effectively prevents microbial contamination and guarantees product quality and safety.

The plastic master batch screening machine convenient to clean comprises a slope body, a gabion structure, a soil loosening assembly and a water collecting pool, supporting legs are arranged at the lower ends of four sets of high-strength springs, a vibration motor is arranged in the center of the lower end face of an outer shell, a spraying assembly is arranged on the upper end face of the outer shell, and a second-stage screening plate is arranged below a first-stage screening plate. A third-level sieve plate is arranged below the second-level sieve plate, discharging ports are formed in the left side of the outer shell, sewage draining ports are formed below the three discharging ports, and a fan is arranged on the right side of the air supply pipe. According to the plastic master batch screening machine convenient to clean, the spraying assembly can effectively wash away dust and residues on the surface of the screen and in the machine body, the efficient screening state of the screen is kept, dust and impurities accumulated at the bottom can be effectively removed through the air drying function, and the internal environment of the machine is kept clean; and the bottom of the cleaned machine body can be quickly dried through air drying, mould and bacterium breeding is avoided, and therefore the interior of the equipment can be conveniently kept dry and clean.

The invention provides a distributed intelligent control method and system for an integrated cupboard and the cupboard, and the method comprises the steps: dividing the integrated cupboard into a plurality of control nodes, collecting environment and behavior variables, such as temperature and humidity, oxygen concentration, carbon dioxide concentration, pressure difference, door opening and closing frequency, airflow direction and the like, and forming a state vector; inputting the state vector into a risk assessment model, calculating a risk rate and a quantile index thereof, and obtaining a risk trend in combination with baseline deviation and sliding statistics; based on the risk rate, the quantile and the slope condition, threshold judgment is carried out, and an atmosphere micro-pulse budget containing the number of times, the dose upper limit and the interval is generated; and executing atmosphere micro-pulse adjustment, including carbon dioxide injection, oxygen dilution and humidity linkage, under the condition that the safety constraint condition is met. According to the method and the system, intelligent mildew-proof and insect-proof control of the dry warehouse in the integrated cabinet can be realized while energy consumption is reduced, and the method and the system have the advantages of high adaptability, high safety and good robustness.