1651 results about "Aquatic product" patented technology

The invention relates to the technical field of aquatic product quality inspection and traceability, and discloses a block chain enabled aquatic product traceability and quality evaluation method. According to the method, complete cycle data of aquatic products is divided into a block chain storage layer, a circulation traceability layer and a quality inspection evaluation layer, the block chain storage layer comprises a plurality of distributed nodes, the circulation traceability layer records chain type circulation events from cultivation to sales, and the quality inspection evaluation layer integrates multiple types of quality inspection indexes. The method comprises the following steps: judging whether a block hash value in a block chain storage layer is abnormal or not, and if so, extracting a breeding environment parameter, a transportation temperature and humidity track and a sales inspection report in a circulation traceability layer; calculating a multi-source quality index fusion weight of the quality inspection evaluation layer, and analyzing the abnormal signal intensity of each detection node; and finally, performing quality risk classification by combining the information and a preset evaluation threshold, and generating a quality grade label. According to the method, credible traceability and scientific evaluation of complete-cycle data of aquatic products are realized, and an effective means is provided for quality control.

The invention discloses an aquaculture comprehensive guarantee method and system based on multi-modal data acquisition, and relates to the technical field of intelligent aquaculture, and the method comprises the steps: collecting aquaculture multi-modal data and an aquaculture image of an aquaculture region, carrying out the aquaculture feature capture of the aquaculture image, and outputting a visual feature group; inputting the visual feature group into a MobileNet lightweight model, and outputting a health state label and a confidence score; based on the health state label and the confidence score, outputting disease type data through a residual network structure optimized by transfer learning; constructing a graph neural network according to the disease type data, and generating a dynamic regulation and control scheme; and the control center executes the dynamic regulation and control scheme, carries out regulation and control effect detection and target comparison on the aquaculture area of the dynamic regulation and control scheme, judges whether the regulation and control effect is effective or not, and generates a feedback regulation instruction. According to the invention, through multi-modal data fusion and intelligent decision closed loop, dynamic and accurate guarantee of aquatic product health management is realized.

The invention relates to the technical field of marine ecological breeding, and discloses a combined net cage for marine ecological breeding, the inner side of a top breeding net cage is adjustably connected with a middle breeding net cage, the inner side of the middle breeding net cage is adjustably connected with a bottom breeding net cage, and the bottom end of the bottom breeding net cage is fixedly connected with a bottom net frame; the middle aquaculture net cage is connected to the inner side of the top aquaculture net cage in a sleeved connection mode, and the bottom aquaculture net cage is connected to the inner side of the middle aquaculture net cage in a sleeved connection mode, so that the net cage can be stretched and adjusted in the vertical direction, the overall height of the net cage structure is changed, and the net cage structure is suitable for aquaculture requirements of different water area depths; meanwhile, the capacity of the breeding space in the net cage is changed by adjusting the height of the net cage structure, the breeding space in the net cage can be adaptively adjusted according to changes of the size of the aquatic products, the enough growth space of the aquatic products is guaranteed, and the yield of the aquaculture products is improved to the maximum extent.

The invention discloses an aquatic product processing production link temperature control method, which comprises the following steps: dynamically adjusting temperature control parameters in a processing link according to temperature quality related parameters, and if the temperature quality related parameter of a certain link displays that the influence weight of temperature fluctuation on a quality index is higher than a preset threshold value, judging that the temperature control parameters are not the temperature control parameters; if yes, the temperature tolerance range of the link is reduced, and an optimized temperature control parameter set is obtained; and constructing a problem tracing path according to the abnormal feedback data monitored in real time, automatically tracing back to the corresponding data segment in the integrated temperature information base aiming at the time point and the link label of the alarm record, and extracting the temperature change sequence before and after the occurrence of the abnormality to obtain a detailed abnormality tracing report.

The invention relates to the field of cold-chain transportation, and discloses an aquatic product cold-chain quality monitoring and tracing method, which comprises the following steps: acquiring multivariable environmental data in cold-chain transportation; based on the multivariable environment data, constructing a dynamic coupling model of a cold chain environment for representing a nonlinear dynamic relationship among environment variables; performing real-time estimation on the cold chain environment state by using a dynamic monitoring algorithm, and predicting the future change of the cold chain environment state; constructing a target function, and optimizing the operation parameters of the cold chain equipment according to the dynamic change of the cold chain environment; constructing a mapping model between the cold chain environment and the aquatic product quality, and dynamically evaluating the quality index of the aquatic product according to the historical change of the environment; and generating a traceability report based on the evaluation result, wherein the traceability report comprises a dynamic record of the cold chain environment and an aquatic product quality change curve. Dynamic monitoring, quality tracing and system optimization of the whole cold-chain transportation process can be realized, and the stability of the cold-chain environment and the aquatic product quality guarantee capability are improved.

The invention belongs to the technical field of aquaculture and food engineering, and relates to a fish anesthesia recovery activity prediction method based on acoustic signal time-frequency domain feature fusion. The method comprises the following steps of: acquiring acoustic respiratory vibration signals in real time in a fish anesthesia recovery process, performing 0.1-50Hz band-pass filtering, denoising and other pretreatment on the acoustic respiratory vibration signals, and extracting ZCR and Gammatone characteristic spectrums; meanwhile, fish swimming data are collected by adopting a YOLOv11 visual tracking algorithm, and activity grading standards are established by calculating activity indexes; zCR and Gammatone maps are used as double-branch input data of a deep learning model, corresponding activity grading data are used as labels, and a multi-category classification prediction model is constructed. According to the method, the anesthesia recovery state of the fish can be accurately predicted, and excessive stress and death loss in the transportation process are avoided; a non-invasive and intelligent detection means is provided for activity monitoring in the aquatic product transportation process, and the market application prospect is wide.

The invention discloses a non-living aquatic product supply chain quality deterioration visual early warning method, and belongs to the field of non-living aquatic product dynamic monitoring, and the method comprises the following steps: S1, synchronously collecting the physical appearance, quality indication labels and environmental parameters of non-living aquatic products, and constructing a multi-dimensional data set; s2, extracting complementary features, and outputting weighted fusion features; s3, establishing a residual shelf life prediction model, and obtaining a residual shelf life prediction value and a confidence interval; s4, based on the residual shelf life prediction value, constructing a supply chain digital twinborn body, and mapping a physical entity state in real time; and S5, continuously optimizing parameters of the residual shelf life prediction model. By adopting the non-living aquatic product supply chain quality deterioration visual early warning method, multi-modal feature deep interaction, digital twinborn visualization and adaptive iteration are fused, a data acquisition-feature fusion-prediction early warning-model evolution closed loop is constructed, and the limitation of a traditional single-modal and static model is broken through.

The invention relates to a microbial agent prepared based on a new strain of bacillus velezensis, which has the function of broad-spectrum antagonism of common pathogenic bacteria of aquatic products and can effectively prevent and / or treat bacterial diseases and / or fungal diseases of aquatic organisms including crustaceans and fishes. Meanwhile, the content of nitrite and ammonia nitrogen in aquaculture water can be effectively reduced, and the usage amount and residual quantity of antibiotics and chemical drugs in aquaculture are reduced.

The invention relates to an aquatic product drug residue detection method and system based on Raman spectrum. The method comprises the following steps: acquiring Raman spectrum data generated after an aquatic product sample is irradiated by laser; preprocessing the Raman spectrum data, and extracting characteristic peak data; comparing the characteristic peak data with a pre-established drug residue standard spectrum library to obtain a drug residue concentration value corresponding to the characteristic peak data; constructing a quantitative detection model by adopting a machine learning algorithm based on the characteristic peak data and the corresponding drug residue concentration values; and based on the quantitative detection model, predicting the drug residue concentration of the aquatic product. The method can be widely applied to the field of food safety, and an efficient and reliable solution is provided for detection of drug residues in aquatic products.

The invention discloses lysinibacillus sp. For degrading alternaria alternata toxins and application of the lysinibacillus sp., and belongs to the technical field of microorganisms, the lysinibacillus sp. Is preserved in China Center for Type Microbiological Culture Collection, the preservation address is Wuhan University, Hubei Province, and the preservation number is CCTCC No.M20241816. The invention further discloses a preparation method of the lysinibacillus sp. According to the invention, the Lysinibacillus macroides capable of effectively reducing and degrading alternaria alternata toxin is obtained for the first time, and the quality of agricultural products (including aquatic products) is favorably improved.

The invention relates to a preparation method and application of a carbon dot-based nano enzyme. The preparation method of the carbon dot-based nano-enzyme comprises the following steps: taking sucralose and B vitamins as raw materials, and preparing the carbon dot-based nano-enzyme through a one-pot hydrothermal method. The preparation method of the carbon dot-based nano-enzyme provided by the invention is simpler in catalytic condition and higher in safety. The carbon dot-based nano-enzyme prepared by the invention has the advantages of high oxidase-like activity, low drug resistance, high biocompatibility and the like, can inhibit multi-drug-resistant bacteria, and can be applied to the aspects of aquatic product preservation and the like.

The invention provides a seawater fish freshness detection method and device based on machine vision and FPS, and relates to the technical field of prefabricated aquatic product nondestructive detection.The device comprises a mounting box, an automatic lifting clamp device is arranged at the inner bottom of the mounting box, and a fixed-distance pressing device is arranged at the position, corresponding to the automatic lifting clamp device, of the top of the mounting box; a top image shooting device is arranged on the fixed-distance pressing device, an infrared sensing positioning device corresponding to the fixed-distance pressing device is arranged in the mounting box body, a side industrial camera is arranged on one side of the interior of the mounting box body through a first support, a plurality of lighting devices are arranged on the upper portion of the side wall of the mounting box body, and a control unit is arranged at the bottom of the mounting box body; the top image shooting device, the infrared sensing positioning device, the side industrial camera, the automatic lifting clamp device, the lighting device and the fixed-distance pressing device are all electrically connected with the control unit. According to the invention, high-efficiency and automatic seawater fish freshness detection can be realized.

The invention provides an aquaculture intelligent feeding and growth monitoring system based on the Internet of Things, and relates to the technical field of intelligent aquaculture, and the system comprises the following modules: a multi-mode sensing module, a data processing module, a central processing module, an intelligent feeding module, and a monitoring module. The aquatic product feeding monitoring module is used for accurately calculating the appropriate feeding amount by combining data of current water quality, the number of aquatic products and the growth stage, and analyzing aquatic product images collected by the camera device. An image recognition technology and a deep learning algorithm are used for recognizing aquatic product types, individual sizes and health conditions to carry out three-dimensional form modeling; according to the method, the scientificity and accuracy of breeding decision making are remarkably improved, and detailed and visual growth information is provided for the breeding decision making; and through cooperative work of the intelligent feeding module and the central processing module, accurate adjustment of the feeding amount is achieved, and the feed utilization rate is increased.

The invention provides a flexible fluorescence sensor as well as a preparation method and application thereof. The flexible fluorescence sensor comprises TCTG particles and dual-network hydrogel, the TCTG particles are distributed in network pores of the dual-network hydrogel to form functional gel, the TCTG particles are formed by Ti3C2TxMXene nanosheets and graphene quantum dots, the dual-network hydrogel is formed by acrylamide and sodium carboxymethyl cellulose, and the TCTG particles are distributed in the network pores of the dual-network hydrogel to form functional gel. The functional gel is soaked in a hydrochloric acid glycol solution for treatment. The flexible fluorescence sensor provided by the invention can integrate the structural advantages of all the components, so that a synergistic coupling effect is possibly generated, a fluorescence detection function with excellent mechanical strength, frost resistance and high sensitivity is integrated into a multifunctional system, the food spoilage condition can be reliably monitored in real time under a harsh environmental condition, and the application prospect is wide. And health and economic risks caused by occupational exposure and environmental emission in an aquatic product supply chain are solved.

The invention provides a rapid nondestructive quality detection method and device for aquatic products, and relates to the technical field of food safety detection, and the device comprises a spectral analysis module, a biosensing module, an electrochemical detection module, a data processing module, a data output module and a portable device. According to the rapid nondestructive quality detection method and device for the aquatic products, multi-index synchronous detection of freshness, drug residues and heavy metal content of the aquatic products is realized through fusion of spectral analysis, biosensing and electrochemical detection technologies.

The invention relates to the technical field of biology, in particular to an ACE inhibitory peptide, a preparation method and application, the ACE inhibitory peptide has the amino acid sequence of Trp-Pro-Phe (WPF) or Phe-Pro-Trp (FPW) or Phe-Gly-Trp (FGW) or Leu-Pro-Val-Pro-Ala-Phe-Asn (LPVPAFN) or Leu-Trp-Trp-Leu (LWWL), the ACE inhibitory peptide WPF, FPW, FGW, LPVPAFN and LWWL have outstanding antihypertensive activity, the IC50 values of the WPF, FPW, FGW, LPVPAFN and LWWL are 0.264 mg / mL, 0.800 mg / mL, 0.106 mg A variety of aquatic product peptide powder sources are separated and purified by an affinity ultrafiltration screening method, an ultrafiltrate component is selected for amino acid sequence identification, and a new amino acid sequence with ACE inhibitory activity is screened out; the ACE inhibitory peptides WFP, FPW, FGW, LPVPAFN and LWWL prepared by the invention have outstanding antihypertensive activity.

The invention belongs to the technical field of microorganisms, and discloses a high-temperature-resistant vibrio alginolyticus bacteriophage and a composition and application thereof, the high-temperature-resistant vibrio alginolyticus bacteriophage is named as vibrio alginolyticus bacteriophage PJ644 and is preserved in China General Microbiological Culture Collection Center on August 16, 2024, the preservation address is No.3, No.1 Yard, Beichen West Road, Chaoyang District, Beijing, and the preservation number is CGMCC NO.9624. The preservation number of the strain is CGMCC (China General Microbiological Culture Collection Center) No. The bacteriophage has excellent high temperature resistance, and the bacteriophage and the bacteriophage composition not only can effectively prevent and treat various vibrio infections, but also can be used as active ingredients for preparing bacteriophage pharmaceutical preparations, aquatic feed additives, water disinfectants and aquatic product preservatives, and are used for effectively preventing and treating diseases caused by vibrio infections in aquaculture farms. The use is safe, and the problems of antibiotic residues and pathogen drug resistance caused by use of antibiotics are effectively avoided.

To develop an online marketplace for locally produced agricultural, livestock, and marine products, increase earnings of producers, and provide fresh agricultural, livestock, and marine products to consumers, as well as contributing to the interests of the regions.SOLUTION: An information processing system includes a control unit. The control unit is configured to: receive, for agricultural, livestock, and marine products shipped from a plurality of producers of the agricultural, livestock, and marine products to a collection center of a market organizer and delivered directly from the collection center to consumers, commodity information of a plurality of agricultural, livestock, and marine products available for shipment by the date which is a first period before a scheduled delivery date from producer terminal of the producers; collectively transmit the received commodity information of the agricultural, livestock, and marine products to a consumer terminal; receive, from a consumer terminal of the consumer, orders for agricultural, livestock, and marine products corresponding to the commodity information; stop accepting orders when the time which is a second period before the scheduled delivery date arrives; and transmit order placement information on the ordered agricultural, livestock, and marine products to a producer terminal of a producer that has accepted the orders, out of the producer terminals of the producers, at least.SELECTED DRAWING: Figure 4

The invention discloses a compound micro-ecological preparation for aquatic products as well as a preparation method and application thereof, and belongs to the technical field of micro-ecological preparations. The microecological preparation disclosed by the invention comprises clostridium butyricum, bacillus licheniformis, enterococcus faecalis and lactobacillus plantarum. The microecological preparation is combined with concentrated cottonseed protein for use, can replace fish meal, is added into feed, can remarkably improve the immunocompetence, oxidation resistance and digestive enzyme activity of animals, and can improve the relative abundance of beneficial bacteria in intestinal tracts, inhibit the growth of pathogenic bacteria and regulate the microecological balance of the intestinal tracts after entering the intestinal tracts of the animals. According to the invention, aerobic bacteria and anaerobic bacteria are cooperatively used, oxygen in the surrounding environment is greatly consumed by bacillus licheniformis and enterococcus faecalis, the proliferation of beneficial bacteria such as clostridium butyricum and lactobacillus plantarum is promoted, and the probiotic effect is fully played.

The invention relates to the technical field of aquatic product processing, in particular to processing equipment capable of separating and recycling aquatic products, which comprises a bottom frame, a control box is fixedly mounted on the bottom frame, a connecting frame is fixedly mounted on the bottom frame, two side plates are fixedly connected to the connecting frame, and a conveying device is arranged between the two side plates. The conveying device is used for conveying aquatic products to a specified position according to a preset speed, and a material frame is fixedly mounted at the tops of the two side plates; through the arrangement of the receding piece, the cutter can automatically move upwards when encountering a hard object, too large impact force generated between the cutter and the hard object is avoided, the cutter can pass through the hard object more stably, the design is beneficial for keeping the stability of the cutting process, vibration and noise caused by impact are reduced, it is guaranteed that the thickness of each slice is consistent, and the cutting efficiency is improved. The cutting quality is improved.

The invention relates to bacillus for producing lipopeptide, bacteriostatic lipopeptide of the bacillus and application of the bacillus to aquatic products, and belongs to the technical field of microorganisms. The bacillus velezensis is a bacillus velezensis strain FJAT-57093, is preserved in the China General Microbiological Culture Collection Center on April 1, 2025, and has a preservation number of CGMCC No. 34063, and the bacillus velezensis strain FJAT-57093 is a bacillus velezensis strain FJAT-57093, is preserved in the China General Microbiological Culture Collection Center on April 1, 2025, and has a preservation number of CGMCC No. 34063. The bacteriostatic lipopeptide is prepared from three types of lipopeptides, namely, iturin, fengycin and surfactin. The invention further discloses a preparation method of the bacteriostatic lipopeptide. The bacillus and the bacteriostatic lipopeptide have a broad-spectrum bacteriostatic effect on aquatic pathogenic bacteria, can be used for aquaculture, and have a wide application prospect.

The invention relates to the technical field of ozone disinfection of aquatic products, and discloses ozone disinfection equipment for removing peculiar smell of aquatic products, which comprises an ozone generation assembly for generating ozone and conveying the ozone to a water treatment tank through a conveying pipe; the aquatic product treatment assembly is used for carrying out sterilization and deodorization treatment on the aquatic products by using ozone water; the auxiliary dissolving assembly is used for optimizing the dissolving efficiency of ozone and ensuring the formation of high-concentration ozone water; the water cooling assembly is used for filtering, cooling and recycling the treated water; the tail gas eliminating assembly is used for decomposing undissolved ozone and ensuring safe and environment-friendly emission; and the two buckle assemblies are used for conveniently disassembling and assembling the two activated carbon boxes. A mechanical reciprocating motion structure is adopted by the auxiliary dissolving assembly, so that the dissolving efficiency of ozone is optimized, high-concentration ozone water is formed, and the sterilization and deodorization effects are enhanced. The dynamic mixing mode greatly increases the gas-liquid contact area, and avoids the defect of low ozone utilization rate.

The invention belongs to the technical field of aquatic product living body transportation, and particularly relates to a soft-shell crab transportation method. The method comprises the following steps: screening and cleaning, softening-keeping treatment, fresh-keeping treatment, microenvironment regulation and treatment after transportation. In the softening treatment, 0.1-3 PSU low-salt seawater containing 0.03%-0.08% of tetrasodium glutamate diacetate is used for soaking / covering, the fresh keeping is ethanol disinfection and 0.05%-0.30% of lemon grass oil emulsified spray, the temperature of the microenvironment is controlled to be 12-18 DEG C, the humidity is 85%-95%, and the oxygen content is 20.90-22.30%. After 72 hours of simulated transportation, the softness-keeping maintenance rate is greater than or equal to 88%, the survival rate is greater than or equal to 98%, the body surface bacterial colony inhibition rate is 91.4%, and the TVB-N value is 15.2 mg / 100g. The method realizes the synergy of softening, fresh keeping and live keeping, is suitable for large-scale transportation, and has high popularization value.

The present application relates to the technical field of aquaculture monitoring and regulation, and discloses a water quality multi-parameter real-time online monitoring system. The system comprises a multi-source data acquisition module for obtaining and denoising water quality data; a time sequence feature analysis module for generating multi-dimensional feature clusters containing the correlation of various parameters; an anomaly identification module for dynamic deviation compensation, monitoring sub-domain demarcation and key parameter extraction; a collaborative regulation module for constructing a regulation decision unit to generate a multi-parameter collaborative regulation strategy; and an iterative correction module for correcting the regulation strategy to output real-time adjustment instructions. An early warning module is also provided for biological safety assessment and early warning and activation of the emergency intervention mechanism. The system can accurately monitor the multi-parameters of the water quality of aquaculture in real time, realize intelligent regulation and biological safety early warning, effectively improve the yield and quality of aquaculture, reduce the risk of aquaculture, and promote the sustainable development of the industry.

The present invention relates to the technical field of active substance extraction, and specifically relates to a mineral-containing high-purity collagen tripeptide and a preparation method therefor. A high-purity collagen tripeptide containing mineral elements and having a high hydroxyproline content and no bad flavor, particularly no bitterness is obtained by using a byproduct of aquatic product processing, i.e., fish skin or fish scales, as a raw material, using a one-step enzymolysis method, and performing nanofiltration twice.

The invention relates to the technical field of aquatic product treatment, and discloses a large yellow croaker automatic grading and sorting device based on machine vision, which comprises a conveying system, a recognition and detection system, a control system and a sorting system. According to the large yellow croaker automatic grading and sorting device based on machine vision, the working distance of the camera can be adjusted, adaptive adjustment can be better carried out according to requirements, and in the whole operation process, the problem that cultured fishes are graded by mainly adopting a manual sorting mode at present, and the sorting efficiency is greatly improved is solved. The method has the problems of low efficiency, high labor input, high fish body damage rate and the like, the device can automatically identify the large yellow croaker, automatically measure the size, estimate the weight and the fatness through a visual system, and classify and sort the large yellow croaker, and by setting the classification standard, the sorting efficiency is improved, the input labor cost is reduced, and the product quality is improved. In addition, damage to fish bodies is small, practicability is high, and the requirement for the existing large yellow croaker sorting process is better met.

The invention relates to the technical field of aquaculture monitoring, regulation and control, and discloses an aquatic product water quality multi-parameter real-time online monitoring system. The system comprises a multi-source data acquisition module for acquiring and denoising water quality data; the time sequence feature analysis module is used for generating a multi-dimensional feature cluster group containing a plurality of parameter association relationships; the abnormity identification module is used for carrying out dynamic deviation compensation, delimiting a monitoring sub-domain and extracting key parameters; the coordinated regulation and control module constructs a regulation and control decision unit to generate a multi-parameter coordinated regulation and control strategy; and the iterative correction module is used for correcting the regulation and control strategy and outputting a real-time regulation instruction. And an early warning module is also arranged to carry out biological safety evaluation and early warning and activate an emergency intervention mechanism. The system can accurately monitor multiple parameters of aquaculture water quality in real time, realizes intelligent regulation and control and biological safety early warning, effectively improves the yield and quality of aquaculture, reduces the aquaculture risk, and promotes the sustainable development of the industry.

The invention relates to the technical field of kelp processing, solves the technical problems that an existing kelp drying device is low in automation degree, consumes manpower, is low in efficiency and cannot meet the requirement for large-batch drying operation, and provides an intelligent feeding device. The device comprises a base, a first vertical direction supporting plate, a second vertical direction supporting plate, a top plate, a lifting plate, a supporting plate, a lifting device, a telescopic driving device, a first telescopic mechanism, a second telescopic mechanism, a first push plate, a second push plate, two rotating air cylinders and two horizontal direction supporting plates. The telescopic driving device is connected with the lifting plate and used for enabling the supporting plate to do telescopic motion, the first telescopic mechanism and the second telescopic mechanism are fixedly connected with the top plate, the first push plate is rotationally connected with the first telescopic mechanism, and the second push plate is rotationally connected with the second telescopic mechanism. The method is widely applied to drying kelp or other aquatic products, or is applied to other drying processes with the same drying requirements.

The invention relates to the technical field of food safety risk management, in particular to an aquatic product risk analysis system based on multi-factor analysis, which comprises a pollution factor response module, a path aggregation module, a channel decision module, a pollution risk simulation module and a risk mapping collection module. According to the method, by extracting the concentration change direction of the pollution factor in the specific water area in the continuous time period and establishing the sequence combination of the concentration rising section, the time sequence behavior characteristics of the pollution factor can be identified, and the overlapping relation between the risk factor and the biological class group exposure can be effectively judged; in a standard exposure period, contact frequencies are integrated, sensitive time periods are screened, and generality factor grouping is completed by analyzing frequency coincidence conditions of a plurality of aquatic products under the same factors, so that a risk influence map can reflect a factor interaction correlation and category common inductance response relationship; and the comprehensiveness, granularity and prediction capability of risk assessment are improved in a dynamic scene.

The utility model discloses an air wave bubble cleaning machine spraying device which comprises a plurality of movable spraying pipes horizontally installed above a cleaning pool through shaft seats, the movable spraying pipes are perpendicular to the conveying direction of a net chain conveyor, the other ends of the movable spraying pipes are sealed, and connecting seats are fixedly installed on the surfaces of the movable spraying pipes in a sleeved mode. The side, corresponding to the conveying downstream of the net chain conveyor, of the connecting base is fixedly connected with a connecting plate, a reset tension spring is installed between the connecting plate and the cleaning pool, and a limiting frame fixedly connected to the cleaning pool is arranged below one connecting plate. A baffle is fixedly connected to the side, corresponding to the conveying upstream of the net chain conveyor, of one connecting base, a gear motor is fixedly installed at the position, corresponding to the baffle, of the cleaning pool, and a shifting plate corresponding to the baffle in position is fixedly installed on a horizontal output shaft of the gear motor. The water spraying pipes swinging left and right and sprayed water columns avoid the problem that the aquatic products are gathered and stopped, and it is guaranteed that the aquatic products are smoothly conveyed and make full contact with air wave bubbles and the sprayed water columns in the cleaning pool.