40results about How to "Avoid dilution" patented technology

The present application belongs to the technical field of internal combustion engine, and particularly relates to a kind of alcohol hydrogen fusion engine precombustion chamber system and its control method.Alcohol hydrogen fusion engine precombustion chamber system includes the engine main body with the main combustion chamber and precombustion chamber being communicated with each other, and also includes methanol supply unit, hydrogen production unit, hydrogen delivery control unit, exhaust gas recirculation unit and main control unit;Main control unit collects engine operating parameters and judges current working condition, and adjusts methanol supply path, hydrogen supply path, precombustion chamber working mode, hydrogen production unit heating mode and on-off state of exhaust gas recirculation unit according to working condition.The present application can realize engine full-condition combustion performance optimization without complex auxiliary device, and also considers cold start reliability, high and low load combustion stability and operation energy efficiency, to improve the whole machine operation reliability and transient response capability.

This invention discloses a method for wildlife identification and behavior analysis monitoring based on cross-modal data fusion, belonging to the field of wildlife monitoring technology. The method includes: synchronously acquiring multi-source heterogeneous data with a unified time reference; outputting alignment features through a deformable spatiotemporal alignment module, with the alignment learning rate dynamically adjusted by downstream uncertainty feedback; extracting multi-scale visual and audio features; adding uncertainty prediction branches to each modality, calculating dynamic fusion weights, and enhancing private features; constructing a dynamic spatiotemporal graph, using uncertainty differences as edge weights, and outputting enhanced node features through graph convolution; matching with a multi-prototype comparison library, with temperature parameters dynamically adjusted by uncertainty, outputting behavioral labels or candidate anomalies; and end-to-end optimization of the joint loss function. This invention, with uncertainty as its core, achieves closed-loop collaborative optimization across the entire link from alignment, fusion, graph interaction to identification, significantly improving the robustness and accuracy of wildlife behavior identification in complex field scenarios.

The present application belongs to the technical field of plastic waste recycling, and discloses a plastic waste recycling device, which comprises a feeding box, a separation frame, a collecting cover, a cleaning cover, a dryer, a fixing frame and a linkage frame. The inner wall of the separation frame is provided with a groove, a separation rod, a guide plate and a sliding shaft. The top is assembled with a reciprocating screw rod, a moving rod, a spring telescopic rod and a magnetic cleaning brush through the fixing frame and the linkage frame, and is driven by a servo motor to realize reciprocating cleaning. The inner wall of the cleaning cover is connected with a pipe at both ends. The inner wall of the pipe close to the dryer is conical. A cleaning corrugated cylinder and an auger are arranged inside. A driving assembly is arranged on the outside. The dryer is connected through a conveying pipe. The present application realizes accurate separation of metal and plastic through the magnetic attraction reciprocating one-way cleaning structure, solves the problem of plastic retention, adopts the conical connecting pipe leak-proof design to reduce the loss of cleaning liquid, cooperates with the corrugated cylinder and the auger for cleaning, greatly improves the cleaning efficiency and the recovery purity, has strong structure linkage, continuous and efficient treatment, and significantly improves the practicality.

The present application relates to the technical field of water body bacteria inactivation, and particularly relates to a bacteria inactivation method based on micro-nano bubble ozone synergistic reaction, comprising the following steps: mixing and conveying ozone gas dissolved water and initial sewage to a front reactor to output as dissolved air sewage; conveying the dissolved air sewage to a reaction tank; obtaining the pressure of a plurality of pressure sampling positions of a conveying pipeline conveying the dissolved air sewage; determining the merging state of micro-nano bubbles in the conveying pipeline; determining an abnormal area in the merging state of the micro-nano bubbles; determining the bubble merging amount of the abnormal area based on the obtained conveying pipeline pressure of the position where the connecting port is located and the average pressure in the conveying pipeline behind the connecting port; determining the dosing amount of alkaline substances and the replenishment amount of the dissolved air water; and continuously conveying the dissolved air sewage from the front reactor to the reaction tank to complete the bacteria inactivation operation, so that the cavitation effect of ozone micro-nano bubbles is strengthened and the solubility of ozone in water is improved.

The application discloses a method for determining the content of combustible gas in steam. The sample is collected by the drainage gas collection method: the gas collection container filled with distilled water is inverted in the sink, steam is introduced to condense, the original water in the bottle is replaced and discharged by using the condensed water, so that the non-condensable combustible gas is collected at the top of the bottle, and the air is isolated by the water seal. Then, the standardized syringe sampling is carried out: after being cleaned and lubricated for multiple times, the airtight syringe is used to pass through the bottle plug and draw a certain amount of gas under the liquid surface, and is quickly sealed to avoid pollution. Finally, the sample is analyzed by the gas chromatograph, and the content of the combustible gas in the steam is quantitatively calculated based on the calibration curve or the correction factor established based on the known concentration standard sample. The application has the advantages of strong anti-interference, standard operation, good sample representativeness and low cost, and is especially suitable for accurate monitoring of low-concentration combustible gas.

The present application relates to the technical field of metal product finishing, and discloses a metal vacuum cup burr-free ring cutting device with smooth cutouts, which comprises a base, a first support frame fixedly connected to the top of the base, a second support frame fixedly connected to the side of the base close to the first support frame, a ring-shaped plate fixedly connected to the end of the first support frame away from the base, a ring-shaped electric sliding rail fixedly connected to the side of the ring-shaped plate, a first sliding plate and a second sliding plate slidably connected to the inner part of the ring-shaped electric sliding rail through electric sliding blocks respectively, a laser cutting assembly fixedly connected to the side of the first sliding plate, and a connecting plate fixedly connected to the side of the first support frame; and a supporting device fixedly connected to the side of the ring-shaped plate. The metal vacuum cup burr-free ring cutting device with smooth cutouts can realize cooling of the cutting area and avoid blowing cooling gas directly to the laser cutting area.

The application relates to the technical field of edge computing and multi-modal data processing, and discloses a park multi-modal data stream alignment and caching method based on event driving, which improves alignment accuracy, resource efficiency and real-time performance, can realize semantic understanding and association, and meets asynchronous data fusion, and comprises the following steps: S1, detecting an event and generating an event anchor point; S2, based on the event anchor point, dynamically intercepting a segment related to the event in a multi-modal data stream and aligning on a time axis; S3, packaging the aligned multi-modal data segment into an event data packet, caching the event data packet according to an event priority strategy, and querying on demand. The application also discloses a system for implementing the above-mentioned park multi-modal data stream alignment and caching method based on event driving.

The present application relates to a method for synthesizing tinidazole deuterium analogues, such as shown in formula I, wherein one or more of R1-R5 are deuterium and the rest are hydrogen, comprising the step of preparing the tinidazole deuterium analogues from intermediate B by oxidation with meta-chloroperoxybenzoic acid, wherein the oxidation is carried out under low temperature and alkaline conditions, and the intermediate B is shown in formula II: The method for synthesizing tinidazole deuterium analogues according to the present application can avoid the problems of deuterium loss and isotopic dilution during the reaction process, obtain stable isotope-labeled tinidazole deuterium analogues with an isotopic abundance of >98%, and have a high yield. The prepared tinidazole deuterium analogues can be used as isotopic internal standard reagents for quantitative detection of tinidazole, for example, in the isotopic internal standard method for detecting the residual amount of tinidazole in meat products, and have the advantages of high recovery efficiency from the matrix and green safety.

The utility model relates to the technical field of rubber tube processing, in particular to a spraying device for processing a separant in a rubber tube, and adopts the technical scheme that an air drying mechanism is arranged between a cleaning water tank and a separant spraying tank; and the air drying mechanism comprises an annular seat through which the rubber pipe can conveniently pass, and an air pump for supplying air into the annular seat through an air supply pipe, so that the problem that water on the surface of the rubber pipe is easy to dilute the separant concentration when the separant is sprayed on the rubber pipe is solved. The air drying mechanism is arranged between the cleaning water tank and the separant spraying tank, and a water film on the surface of the rubber tube is blow-dried by the air drying mechanism when entering the separant spraying tank, so that the separant is prevented from being diluted, and the subsequent vulcanization quality of the rubber tube is ensured.

The present application belongs to the technical field of wastewater sampling, in particular to a water body sampling device for industrial wastewater tracing, comprising a mounting part, a sampling mechanism, a detection mechanism, a wiping mechanism and a backflow mechanism; the mounting part comprises a buoyancy disc and a mounting box, the buoyancy disc is fixedly installed on the upper end face of the mounting box; the sampling mechanism comprises a control pump, a conveying pipe and a filter, the control pump is fixedly installed in the buoyancy disc, the filter is connected with the input end of the control pump, and the conveying pipe is connected with the output end of the control pump; the detection mechanism comprises a carrier and a sensing plate, the sensing plate is obliquely installed on the outer wall of the carrier, and the carrier is fixedly installed on the inner wall of the buoyancy disc; the wiping mechanism comprises a sliding block and a wiping layer, the sliding block is slidingly arranged on the outer wall of the carrier, and the wiping layer is elastically arranged on the bottom of the sliding block; the backflow mechanism comprises a storage cylinder and a backflow pipe; through the cooperation of the above structure, the accuracy and reliability of the industrial wastewater tracing data are improved, and the online continuous sampling and detection mode truly meets the high-precision requirement.

The utility model relates to the technical field of termite trapping equipment, in particular to a termite trapping and killing integrated device which comprises an outer cylinder, a trapping cavity used for collecting termites is formed in the outer cylinder, a cover plate is installed on the top of the outer cylinder, and a plurality of trapping openings allowing the termites to enter are formed in the outer side of the cover plate. The inner wall of the trapping cavity is provided with a plurality of ultraviolet lamps capable of killing termites, the ultraviolet lamps are externally connected with a control switch through wires, the control switch controls the ultraviolet lamps to be turned on and turned off, and the inner side of the bottom of the outer cylinder is provided with a termite trapping agent used for trapping the termites. According to the termite trapping and killing integrated device, through multiple trapping design, the attraction effect on termites is remarkably improved. The termite trapping agent arranged on the inner side of the bottom of the outer cylinder can emit specific smell and generate strong attraction to termites; and a sweet coating is arranged on a pine plate of the bait assembly in the middle of the trapping cavity, so that the attraction to the termites fond of sweet food is further enhanced.

The utility model discloses a shower device, and belongs to the technical field of shower equipment. The shower device comprises a pipeline structure, a switching valve and a foam generator, the pipeline structure comprises a water inlet path, a first water passing path, a second water passing path and a mixed water outlet path, and the switching valve is used for enabling the water inlet path to be communicated with the first water passing path and the second water passing path or enabling the water inlet path to be communicated with the first water passing path. A foaming assembly of the foam generator is installed between the first water passing path and the mixed water outlet path. By adjusting the position of the switching valve, the shower device can be switched between the clean water outlet mode and the foam liquid outlet mode, a user does not need to smear and rub the foam liquid by himself, and the cleaning efficiency and the use experience of the user can be improved. And moreover, the first water passing path and the second water passing path in the clean water outlet mode are both in a conducted state, and water flow in the second water passing path can clean residual foam liquid in the foaming assembly, so that residual cleaning products in the foaming assembly and the mixed water outlet path are avoided.

This application provides a decision-making method, apparatus, electronic device, medium, and program product that can be applied to the field of artificial intelligence technology. The method includes: acquiring a decision-making matter; performing multi-dimensional analysis on the decision-making matter to obtain corresponding confidence scores; determining a first support quantity for approving the decision-making matter and / or a second support quantity for disapproving the decision-making matter based on the confidence scores, and calculating a current consensus value based on the first support quantity and / or the second support quantity; acquiring at least one environmental variable to characterize the external environment state, and determining an environment-adaptive consensus threshold based on the environmental variable; performing target risk detection on the decision-making matter to obtain target risk detection results; and generating a final decision for the decision-making matter based on the current consensus value, the environment-adaptive consensus threshold, and the target risk detection results.

The application discloses a commodity implicit association strength calculation method based on multi-scale feature fusion, belongs to the technical field of commodity data analysis, and aims to solve the problems of single feature utilization, rough multi-scale feature fusion and insufficient capture of commodity implicit association in the prior art; the application carries out preprocessing on collected commodity multi-dimensional original data, extracts features of three scales of commodities, i.e., fine, medium and coarse, and converts the features into preset dimension feature vectors, after feature optimization, completes deep feature fusion through a hierarchical mode of same-scale fusion-cross-scale attention weighted fusion, then calculates the association strength between commodities and determines the association type, finally outputs the result and completes algorithm closed-loop optimization; the application significantly improves the calculation precision and recall rate of commodity implicit association, takes into account the result explainability and real-time performance, and is suitable for the application requirements of multiple scenes of e-commerce.

The application discloses an intelligent closestool and a descaling method thereof, and comprises the following steps: S1, starting descaling; S2, switching a reversing valve downstream of an instant heater to a state of opening a cleaning port communicated with a water spraying body; S3, starting a liquid pump connected with a switching valve upstream of the instant heater, and the liquid pump stays for T1 time in the state of opening the cleaning port of the reversing valve, so as to pump descaling liquid in a liquid storage tank communicated with the liquid pump to the water spraying body and discharge the descaling liquid from a water outlet of the water spraying body; S4, switching the reversing valve to a state of opening a descaling port communicated with the liquid storage tank, and the liquid pump is in an open state for T2 time, so that the descaling liquid circulates in a loop formed by the liquid storage tank, the liquid pump, the switching valve, the instant heater and the reversing valve for T2 time. By arranging steps S2 and S3, the descaling liquid in the liquid storage tank can be used to replace residual cleaning water in a passage between the switching valve and the water spraying body, so that dilution of the descaling liquid by the residual cleaning water in the water passage is avoided, and the descaling effect is effectively improved.

The utility model discloses a steam condensate water separation structure for rice wine distillation, and relates to the technical field of rice wine distillation. The device comprises a cooling shell, a vapor-liquid separation assembly and a water temperature control assembly, a condensation pipe is arranged in an inner cavity of the cooling shell, and the top of the condensation pipe penetrates to the outer side of the cooling shell. Through the vapor-liquid separation assembly, the sealing ring and the plugging ring which are arranged in the separation shell are matched with the sealing plug and the plugging block which are driven by the air cylinder, stage separation is achieved in the vapor condensation process, and when the sealing plug is lifted, the plugging block seals the central through hole of the plugging ring; when the air cylinder is reset, the sealing block releases the sealing of the through hole, the wine liquid is discharged in a one-way mode through the liquid discharging pipe, and the residual steam is independently pumped away through the exhaust mechanism. The steam can be effectively prevented from being mixed with the wine liquid after being secondarily condensed, and the wine body is prevented from being diluted.

The invention provides an EEG signal feature extraction method and system, a storage medium and a terminal. The method comprises the following steps: preprocessing an EEG signal; constructing a multi-scale reference window and a multi-scale test window, and calculating a multi-scale spectrum structure change score of the preprocessed EEG signal; detecting candidate segment boundary points of the preprocessed EEG signal based on the multi-scale spectrum structure change score; on the basis of the candidate segmentation boundary points, EEG adaptive segmentation is obtained; performing Hermite function decomposition on the EEG signal in the EEG adaptive segment to obtain EEG segment level features; and constructing an EEG feature vector based on the EEG segment-level features and the EEG global statistics. According to the EEG signal feature extraction method and system, the storage medium and the terminal, EEG signal features with the characteristics of high event sensitivity, high adaptive ability, excellent stability and the like can be extracted.

This invention provides a chemical detection system for scraping residue on printed tape, relating to the field of data processing technology. The system includes: identifying residue categories in a sample; ranking each residue category by risk to obtain a risk ranking result; correcting the risk ranking result using spatial anisotropic weighting to obtain a key residue selection list; and a judgment module, used to establish quantitative detection models for each residue category based on the key residue selection list, analyze the sample, and obtain the measured content value of each residue category; correcting each measured content value using spatial anisotropic weighting to obtain a corrected content value; and comparing the corrected content value with the safety threshold of the corresponding residue category to obtain a judgment result. This invention achieves effective identification, accurate quantification, and reliable judgment of scraping residue on printed tape even when the distribution is uneven.

The application discloses a control method and system of a multi-in-one intelligent distributed power supply acquisition safety terminal, relates to the technical field of intelligent control of power distribution networks, and converts the topology structure of a power distribution network line into a graph structure to obtain a topology graph structure; key time nodes in historical operation data are identified, time sequence attention weights are calculated to weight the historical voltage sequence, and weighted historical data are obtained; the topology graph structure and the weighted historical data are input into a graph neural network for feature aggregation to obtain node embedding representation; a target line is identified according to a comprehensive risk value, a multi-objective optimization function is constructed based on the node embedding representation for solving, and an initial access capacity scheme is obtained; the initial access capacity scheme is substituted into a digital twin model for simulation, an anti-risk coefficient is calculated, and the anti-risk coefficient is corrected in combination with a load threshold value and a reverse power threshold value to obtain an optimal access capacity scheme. The accuracy of distributed power supply access capacity evaluation and the optimization level of the carrying capacity of a power distribution system are significantly improved.

The invention relates to an intelligent event analysis method and system based on AI, and the method comprises the following steps: obtaining multi-modal original data related to an event, and extracting the feature representation of each modal data; the method comprises the following steps of: extracting features of an event, constructing a hierarchical multi-modal feature graph containing intra-modal sub-graphs and a cross-modal association graph on the basis of the extracted features, sequentially performing intra-modal GAT aggregation and modal perception cross-modal attention calculation by utilizing a graph attention network to obtain global features after cross-modal aggregation, and finally outputting event type probability distribution through a classification layer and identifying event types; and based on the identified event type and the multi-modal feature graph, constructing a layered multi-modal event knowledge graph, analyzing a logical relationship and an evolution path between the events by using time sequence modeling and a causal reasoning model, and outputting an analysis result. Compared with the prior art, the method has the advantages that the multi-modal event type identification precision and accuracy can be improved, the analysis efficiency is improved, and the like.

The utility model relates to infant hygiene product technical field, especially infantile urine sample taking paper diaper, including paper diaper body, the middle of paper diaper body front is provided with the absorption core layer, the both sides of paper diaper body are provided with the leakage prevention and isolation edge, the middle of paper diaper body back is provided with the paste ring, the paste ring is arranged in the urine position of infant. Through setting the material taking hole in the absorption core layer, and setting the material taking film under it, form independent sampling chamber, urine sample flows into the material taking film in the material taking hole and is saved separately, can effectively collect the original urine sample under the premise of not interfering with the normal urination process of infant, avoids being absorbed material adsorption, dilution or pollution, ensures the integrity and the cleanliness of sample, is favorable to the accuracy of subsequent detection.

The application discloses an automatic driving training method based on a difficult case pool and a decision model, and belongs to the technical field of driving training. The application comprises the following steps: S1, obtaining automatic driving observation information, training, obtaining driving actions, and calculating trajectory-level evaluation indexes; S2, determining a difficult case pool according to the trajectory-level evaluation indexes; S3, generating a difficult case robust training branch according to the difficult case pool; S4, updating an automatic driving decision model according to a regularization term of the difficult case robust training branch and a training loss of a main training branch, and obtaining a robust automatic driving decision model; and S5, outputting driving actions or behavior decisions by using the robust automatic driving decision model. The application comprises a closed-loop training mechanism composed of ordinary sample training, difficult case identification, difficult case pool updating, difficult case sampling, strong disturbance triggering and opponent robust regularization, and can simultaneously consider normal driving capability and robustness under observation disturbance.

This application discloses a radar semantic segmentation method and system based on explicit Doppler coding and physical constraints, relating to the fields of intelligent sensing and radar signal processing technology. The method includes: acquiring raw range-angle-Doppler spectrum data from a millimeter-wave radar and preprocessing it; extracting Doppler motion features through baseline estimation and spectrum compensation, and generating a motion-aware feature map and a dynamic saliency weight map; fusing the data through self-attention and cross-attention mechanisms to generate a multi-view fusion feature map containing motion semantic saliency; wherein, for the multi-view fusion feature map at continuous time points, a dynamic persistence constraint loss function is constructed to apply time consistency regularization to the Doppler motion features. The multi-view fusion feature map is input into a semantic decoding network, and the radar semantic segmentation result is output. This application effectively improves the accuracy, stability, and physical consistency of radar semantic segmentation in complex dynamic scenes.

The application discloses a general performance enhancement distillation method for a convolutional neural network, and relates to the technical field of artificial intelligence.The method first acquires feature maps output by teacher-student models, generates an importance map through channel projection and activation, and calculates two types of complementary spatial gains, namely consistency and coverage; a learnable pixel-level gate consensus module is used to model the correlation between teacher and student features, and a mixed coefficient is adaptively output; a dynamic spatial consensus weight mask is generated through convex combination, a feature distillation loss term is constructed in combination with the mask, a gating regularization term is introduced to construct a total loss function, and a student model is iteratively optimized.The application solves the problems of rigid weighting rules, insufficient adaptation in the training stage, and inaccurate gradient distribution of existing methods, realizes adaptive matching of the distillation strategy and the training stage, significantly improves the precision and generalization ability of a lightweight student model in a dense target detection task without increasing inference overhead, and is suitable for resource-constrained platforms such as edge devices.

The invention relates to a receptive field enhancement and feature fusion-based remote sensing small target detection method and system, belongs to the technical field of image processing, and solves the problems of small target feature attenuation, poor feature fusion quality and speed precision imbalance caused by down-sampling in the prior art. According to the technical scheme, a hybrid receptive field attention convolution module HRFAconv is designed to be combined with a receptive field spatial feature branch and a local feature extraction branch to enhance the small target feature expression ability, and a multi-scale shared convolution module MSSC is designed to optimize multi-scale feature fusion by using a shared convolution kernel and an expansion convolution operation. And the modules are integrated in an optimized YOLOv8 neural network architecture. The method has the technical effects that the accuracy and robustness of small target detection are remarkably improved, fine feature details are effectively reserved, the feature fusion quality is improved, good balance between high-speed processing and high precision is realized, and the method adapts to the real-time application requirement of a complex remote sensing scene.

The invention relates to a multifunctional sample reaction plate preparation platform. The multifunctional sample reaction plate preparation platform comprises a sample transfer module, a reagent adding module, a drying module and a heat sealing module. The sample pipetting mechanism is detachably connected with the sample liquid sucking and spraying driving mechanism through the pipetting head quick-changing equipment; the reagent adding module comprises a reagent pipetting mechanism, a reagent pipetting needle and a reagent pipetting chamber which are communicated, the reagent pipetting chamber is provided with a reagent pipetting structure, and the reagent pipetting structure can provide pressure for the reagent pipetting chamber, so that a reaction reagent in the reagent pipetting chamber is sprayed out through the reagent pipetting needle; the drying module is used for drying a biological sample in a sample plate of the drying preparation station, and / or drying a biological sample in a reaction plate of the drying preparation station; and the heat sealing module is used for sealing the reaction plate at the heat sealing station. The flux is not limited, the plate making speed is high, sample evaporation loss and aerosol-mediated cross contamination are avoided, and meanwhile, the concentration of a reaction reagent is not easy to dilute.

This application discloses a method and system for generating original text summaries based on a given question, belonging to the field of text processing technology. Step 1: Input each sentence of the original text U and the given question q into a sentence similarity model to calculate the similarity; Step 2: Divide the original text U into multiple text blocks u1, u2, u3, u4, u5, u6, u7, u8, u9, u1, u99, u1, u1, u99, u1, u1, u1, u2, u1, u1, u2, u1, u2, u3, u1 ...3, u4, u1, u2, u3, u3, u4, u1, u2, u3, u3, u4, u1, u2, u3, u3, 2、 u3……u m Step 3: Input all text blocks sequentially into the encoder of the summarization generation model for encoding; Step 4: Input the similarity and encoding results from Step 1 into the decoder, fuse word-level and sentence-level attention in the joint attention module, and generate a summary based on the beam search algorithm. This application addresses the problem of insufficient explicit attention to the question in traditional transformer-based end-to-end summarization schemes when faced with long input text. It utilizes a text matching model to calculate the similarity between each sentence in the original text and the question, and integrates it into the summarization generation process through an attention fusion module.

The utility model relates to a continuous passivation pretreatment device for a fluorocarbon color-coated aluminum coil, which is applied to the field of fluorocarbon color-coated aluminum coil production and processing and comprises a treatment box, a plurality of mounting rods are fixedly connected to an inner cavity of the treatment box, auxiliary rollers are rotatably sleeved on the outer surfaces of the mounting rods, and water outlet pipes are fixedly connected to the left end and the right end of the treatment box. Movable notches are formed in the left end and the right end of the treatment box correspondingly, a partition plate is fixedly connected to the inner bottom wall of the treatment box, and a U-shaped mounting frame is fixedly connected to the left end of the partition plate, and when the color-coated aluminum coil is subjected to passivation treatment, an air knife is arranged to blow the washed color-coated aluminum coil, so that water and a small amount of impurities on the surface of the color-coated aluminum coil are blown off; and then the color-coated aluminum coil is dried and rapidly heated through the multiple infrared radiators, so that water on the surface of the color-coated aluminum coil is greatly reduced, the situation that a large amount of water is brought into a passivation solution by the washed color-coated aluminum coil is effectively avoided, and then the passivation uniformity is effectively improved.

The invention provides a pesticide residue detection system and method for agricultural products, and the method comprises the steps: obtaining the basic information of a to-be-detected agricultural product region, including boundary information, internal planting structure difference information and key agricultural condition information affecting the distribution of pesticide residues; secondly, dividing the area into a plurality of primary sampling units based on boundary information, dynamically determining the number of sampling points in each unit according to key agricultural condition information, generating position coordinates of the sampling points by adopting a random algorithm, and forming a total sampling point set; and ensuring that the sampling point density is matched with the residual risk weight. Generating a moving path of sampling equipment according to the adjusted sampling point set, and controlling the equipment to move along the path and execute standardized sample collection to obtain an original sample. And finally, carrying out normalized layered preprocessing on the original sample to form a mixed sample, and carrying out identification, packaging and recording. According to the scheme, dynamic sampling based on agricultural condition homogeneity and risk guidance can be realized, and the sampling representativeness, accuracy and efficiency are improved.

The invention relates to the technical field of biomass baking, in particular to a biomass baking and upgrading furnace and a biomass baking and upgrading system. The baking and upgrading furnace comprises a drying chamber (1) and a carbonization chamber (2), wherein the drying chamber (1) and the carbonization chamber (2) are connected through a connecting pipeline (3); wherein a heat exchange pipe (11) is arranged in the drying chamber (1), and the heat exchange pipe (11) penetrates through the drying chamber (1) and can rotate relative to the drying chamber (1). According to the biomass baking and upgrading furnace provided by the invention, the heat exchange tube can rotate around the central axis of the heat exchange tube. By rotating the heat exchange tube, solid materials adhered to the heat exchange tube can be removed in time, so that the solid materials can be prevented from being adhered to the heat exchange tube, and the heat exchange effect can be remarkably enhanced.