An intelligent temperature control system and temperature control method for seafood refrigeration

Abstract

The present invention discloses an intelligent temperature control system and a temperature control method for seafood refrigeration, belonging to the technical field of refrigeration temperature control. Specifically, it includes: deploying multiple groups of gas sensing units inside the cold storage, constructing a dynamic pollution map by detecting the types and concentration distributions of decay characteristic gases; when any sensing unit detects that the concentration of the characteristic gas exceeds the primary threshold, starting the directional ventilation mode, and the discharged cold air flows through the heat exchange area to pre-cool the introduced fresh air; synchronously starting the humidity compensation system during the ventilation process; when three consecutive sensing units detect that the concentration exceeds the secondary threshold, triggering the pollution source tracking mode, and inversely deducing the core decay area based on the gas diffusion path; triggering an automatic removal instruction according to the positioning coordinates, and real-time monitoring the change of the gas concentration at the original cargo position during the removal process. If the concentration does not decay to the safety value after removal, triggering secondary tracking.

Description

Technical Field

[0001] The present invention relates to the technical field of refrigeration temperature control, and particularly to an intelligent temperature control system and method for refrigerating seafood. Background Art

[0002] In the global food supply chain system, seafood, as a high-quality source of protein, is deeply favored by consumers. However, due to the high water and protein content in seafood, it is extremely vulnerable to microbial invasion and spoilage at room temperature. Therefore, refrigeration technology has become a key means to ensure the freshness and quality of seafood and extend its shelf life. With the rapid expansion of the cold chain logistics industry and the continuous increase in consumers' requirements for seafood quality, it is urgent to develop more advanced and intelligent seafood refrigeration temperature control technology.

[0003] Currently, in the field of seafood refrigeration, most cold storages adopt traditional temperature control solutions. Temperature adjustment mainly relies on a constant temperature controller, which controls the start and stop of the refrigeration equipment according to the preset temperature value to maintain a roughly stable low-temperature environment in the warehouse. For the monitoring of the air quality in the warehouse, the common practice is to install a few temperature and humidity sensors, and indirectly infer the warehouse environment conditions by detecting the changes in temperature and humidity. When signs of spoilage are found in the seafood, the overall ventilation and air exchange method is often used to improve the air quality, and the operation time and intensity of the ventilation equipment are adjusted through manual experience.

[0004] In the cold storage environment, the gases emitted by some spoiled seafood will cause odor pollution to the surrounding fresh seafood, affecting its quality. Only relying on temperature and humidity sensors cannot accurately capture the characteristic gases released in the initial stage of seafood spoilage, and it is difficult to detect potential spoilage risks in a timely manner, resulting in certain losses when the problem is discovered. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent temperature control system and method for refrigerating seafood, and solve the following technical problems:

[0006] The prior art ignores the impact of the gases released by some spoiled seafood on fresh seafood.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] An intelligent temperature control method for refrigerating seafood includes the following steps:

[0009] Deploy multiple groups of gas sensing units inside the cold storage, and construct a dynamic pollution map by detecting the types and concentration distributions of spoilage characteristic gases;

[0010] When any sensing unit detects that the concentration of the characteristic gas exceeds the primary threshold, the directional ventilation mode is activated, and the opening ratio of the top exhaust port and the bottom intake port is controlled to form an air flow cycle. The discharged cold air flows through the heat exchange area to pre-cool the incoming fresh air;

[0011] During the ventilation process, the humidity compensation system is started synchronously, and the intensity of the atomization humidification module is adjusted by monitoring the dew point difference between the fresh air and the air in the warehouse;

[0012] When three consecutive sensing units detect that the concentration exceeds the secondary threshold, the pollution source tracking mode is triggered. Based on the gas diffusion path, the core area of decay is inversely deduced, and three-dimensional positioning coordinates are generated by combining the concentration gradient change rate and the spatial distribution characteristics;

[0013] According to the positioning coordinates, an automated removal instruction is triggered. During the removal process, the change in the gas concentration of the original goods location is monitored in real time. If the concentration does not decay to the safe value after removal, a secondary tracking is triggered.

[0014] As a further solution of the present invention: The construction of the dynamic pollution map includes:

[0015] Deploy multiple gas detection points inside the cold storage. Each detection point is equipped with multiple gas sensors for simultaneously detecting the concentrations of multiple decay characteristic gases; the concentration data of each detection point is input into a computer system, and a three-dimensional concentration distribution map covering the entire cold storage is generated through a spatial interpolation algorithm. The interpolation algorithm automatically adjusts the calculation weight according to the distance and concentration difference between the detection points; high-concentration areas are identified in the concentration distribution map, and the pollution diffusion direction is determined by analyzing the concentration change trend of adjacent detection points. The analysis includes calculating the magnitude and direction angle of the concentration gradient; combining the shelf layout and the air flow cycle path of the cold storage, predicting the propagation range of the polluted gas, and marking the positions of the affected goods in the three-dimensional model.

[0016] As a further solution of the present invention: The construction of the dynamic pollution map further includes:

[0017] Collect historical operation data of the cold storage, including temperature change records and humidity fluctuation data, for training the pollution diffusion prediction model; compare the real-time detected concentration data with the prediction model, and calculate the confidence score of the prediction result. The score is based on the deviation degree between the actual concentration and the predicted concentration; when the confidence score is lower than the set standard, start the multi-sensor joint verification, including using an infrared thermal imager to detect abnormal surface temperatures of the goods, and using a hyperspectral camera to analyze the decay characteristics of the goods surface; dynamically adjust the parameters of the prediction model according to the verification results.

[0018] As a further solution of the present invention: The heat exchange process includes:

[0019] A heat exchange channel is arranged between the exhaust port and the intake port, and non-contact heat transfer occurs between the discharged cold air and the introduced fresh air; a gradient pore structure is set at the heat exchange interface, and the pore density on the cold air side is in a set ratio to the pore density on the fresh air side; when frost or pollutant deposition is detected in the heat exchange channel, a high-pressure air flow flushing program is started to flush the heat exchange channel with air flow.

[0020] As a further solution of the present invention: the operation of the humidity compensation system includes:

[0021] An atomizing humidification device is installed at the end of the intake channel, and the size of the water mist particles sprayed by the humidification device is adjusted according to the difference between the temperature of the fresh air after heat exchange and the temperature in the cold storage; when the difference in relative average humidity in a local area is detected to be greater than a preset threshold, a rotary micro-mist nozzle is started to perform directional humidification on this local area, and the rotation angle of the nozzle is determined by the direction of the humidity difference.

[0022] As a further solution of the present invention: the pollution source tracking mode includes:

[0023] Reverse path calculation is performed in the gas concentration distribution map, starting from the high-concentration area and tracing back the propagation path of the polluted gas along the direction of decreasing concentration; time series analysis methods are used to identify the spatio-temporal characteristics of pollution diffusion, and a sliding window algorithm is used to extract the spatio-temporal characteristics. The window size is dynamically adjusted according to the current refrigeration power. When the refrigeration power increases, the window size is reduced, and when the refrigeration power decreases, the window size is enlarged; the areas where the concentration of the decay characteristic gas is higher than the set threshold are marked as high-concentration areas; machine learning algorithms are used to analyze the extracted spatio-temporal characteristics to identify the high-concentration areas that continuously expand over time, and a heat map of pollution diffusion is generated in a three-dimensional model.

[0024] As a further solution of the present invention: the pollution source tracking mode further includes:

[0025] The heat map of pollution diffusion is matched with the goods storage information in the cold storage, and the positions of the contaminated goods are determined through a spatial coordinate conversion algorithm; a risk assessment is performed on each contaminated good, and the assessment factors include the concentration of the polluted gas, the diffusion speed, and the storage time of the good; a list of contaminated goods is generated, marking the pollution risk level and recommended treatment priority of each good.

[0026] The present invention further includes an intelligent temperature control system for refrigerating seafood, which is used to implement the above-mentioned intelligent temperature control method for refrigerating seafood, including:

[0027] A gas sensing unit, which is used to detect the types and concentration distributions of decay characteristic gases and construct a dynamic pollution map;

[0028] The directional ventilation module is used to control the opening ratio of the top exhaust port and the bottom air inlet to form an air flow cycle when any sensing unit detects that the concentration of the characteristic gas exceeds the primary threshold, and the discharged cold air flows through the heat exchange area to pre-cool the introduced fresh air;

[0029] The humidity compensation system is used to adjust the intensity of the atomization humidification module by monitoring the dew point difference between the fresh air and the air in the warehouse during the ventilation process;

[0030] The pollution source tracking module is used to, when three consecutive sensing units detect that the concentration exceeds the secondary threshold, reverse-deduce the core area of corrosion and decay based on the gas diffusion path, and generate three-dimensional positioning coordinates by combining the concentration gradient change rate and the spatial distribution characteristics;

[0031] The removal monitoring module is used to trigger an automatic removal instruction according to the positioning coordinates, and in the process of removal, it monitors the change of the gas concentration at the original cargo position in real time. If the concentration does not decay to the safe value after removal, it triggers secondary tracking.

[0032] Advantages of the present invention:

[0033] By deploying multiple groups of gas sensing units inside the cold storage, the present invention detects the types and concentration distributions of the characteristic gases of corrosion and decay to construct a dynamic pollution map, can accurately capture the characteristic gases released in the initial stage of corrosion and decay, timely detect potential corrosion and decay risks, and avoid losses; when it detects that the concentration of the characteristic gas exceeds the standard, it starts the directional ventilation mode, controls the opening ratio of the top exhaust port and the bottom air inlet to form an air flow cycle, and uses the discharged cold air to pre-cool the introduced fresh air, which not only specifically discharges the polluted gas, but also reduces the waste of cold energy. At the same time, during ventilation, the humidity compensation system adjusts the intensity of the atomization humidification module to maintain the humidity balance in the warehouse; after triggering the pollution source tracking mode, it reverse-deduces the core area of corrosion and decay based on the gas diffusion path and generates three-dimensional positioning coordinates, which can accurately locate the source of corrosion and decay, avoid the diffusion of odor pollution, and can also trigger an automatic removal instruction according to the positioning coordinates, and monitor the change of the gas concentration at the original cargo position in real time during the removal process to ensure that the problem is completely solved and realize the intelligent and efficient management of the cold storage. Description of the drawings

[0034] The present invention will be further described below with reference to the drawings.

[0035] Figure 1 is a schematic flow chart of an intelligent temperature control method for seafood refrigeration according to the present invention;

[0036] Figure 2 is a schematic module diagram of an intelligent temperature control system for seafood refrigeration according to the present invention. Detailed implementation manners

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0038] Please refer to Figure 1 As shown, the present invention is an intelligent temperature control method for refrigerating seafood, including the following steps:

[0039] First, deploy multiple groups of gas sensing units inside the cold storage. These sensing units are distributed at various key positions in the cold storage, such as different levels of the shelves, corners, and near the ventilation openings, etc. Each unit is equipped with a variety of high-precision gas sensors, which can detect characteristic gases such as hydrogen sulfide and trimethylamine released during the spoilage of seafood in real time. By continuously collecting data on the types and concentration distributions of these gases, a dynamic pollution map is constructed using advanced algorithms. For example, if a high concentration of hydrogen sulfide gas is detected at the bottom layer of a certain shelf, the map will visually show that this area is a potential spoilage risk area, and its scope and severity will be updated in real time according to the concentration change.

[0040] When any sensing unit detects that the concentration of the characteristic gas exceeds the primary threshold, the directional ventilation mode is started. At this time, the exhaust port at the top of the cold storage and the intake port at the bottom start to work together, precisely controlling the opening ratio of the two, so as to form a specific air flow cycle. For example, if a high concentration of polluted gas is detected in a certain area, the opening of the exhaust port at the top will be increased to quickly discharge the polluted gas, and at the same time, the intake port at the bottom will be adjusted so that fresh air can be accurately supplemented to this area. The discharged cold air will flow through the heat exchange area, where efficient heat exchange technologies such as plate heat exchangers are used. The cold air and the introduced fresh air perform non-contact heat transfer in the heat exchange area, thereby pre-cooling the introduced fresh air and greatly reducing the cold loss.

[0041] During the ventilation process, the humidity compensation system is started synchronously. This system uses a precise dew point sensor to monitor the dew point difference between the fresh air and the air inside the warehouse in real time. For example, when the dew point temperature of the fresh air is lower than the dew point temperature of the air inside the warehouse, it means that the fresh air is relatively dry. At this time, the system will automatically adjust the intensity of the atomizing humidification module. If the difference is large, the atomizing humidification amount will be increased to quickly balance the humidity of the fresh air and the humidity inside the warehouse, avoiding moisture loss of seafood due to overly dry fresh air.

[0042] When three consecutive sensing units detect a concentration exceeding the secondary threshold, the pollution source tracking mode will be triggered. Based on the gas diffusion path, a complex mathematical model is used to reverse-infer the core area of decay. Combining the concentration gradient change rate and spatial distribution characteristics, three-dimensional positioning coordinates are generated. For example, by analyzing the change speed of the characteristic gas concentration detected by the sensing units at different positions and their spatial position relationships, a certain box of seafood products can be accurately located as the source of decay, and its coordinates are clearly marked in the three-dimensional model.

[0043] Finally, an automated removal instruction is triggered according to the positioning coordinates. Automated equipment, such as intelligent robotic arms, will accurately grasp and remove the decaying seafood products based on the coordinates. During the removal process, the gas concentration change at the original cargo position is continuously monitored in real time. If the concentration does not decay to the safe value after removal, a secondary tracking is quickly triggered to re-locate the possible remaining decay pollution source, ensuring the environmental safety in the cold storage and protecting other seafood products from contamination.

[0044] In a preferred embodiment of the present invention, the construction of the dynamic pollution map includes:

[0045] First, a plurality of gas detection points are deployed inside the cold storage. These detection points are like precise "antennae", covering every corner of the cold storage. For example, detection points are set at key areas such as the middle position of each row of shelves, the four corners of the cold storage, and near the inlets and outlets of ventilation ducts. Each detection point is equipped with a variety of gas sensors that can simultaneously detect the concentrations of multiple decay characteristic gases, such as common hydrogen sulfide, ammonia, trimethylamine, etc. These sensors are like sensitive "olfactory organs", being extremely sensitive to the concentration changes of various characteristic gases.

[0046] Subsequently, the concentration data collected by each detection point will be quickly transmitted to the computer system. Here, through an advanced spatial interpolation algorithm, these discrete data points are transformed into a three-dimensional concentration distribution map covering the entire cold storage. This interpolation algorithm is highly intelligent and will automatically adjust the calculation weights according to the distance between detection points and the concentration differences. For example, if the distance between two detection points is relatively close and the concentration difference is small, the algorithm will give these two detection points relatively high weights when calculating the concentration in the area between them, making the calculation result more accurate; conversely, for detection points with a relatively large distance and a large concentration difference, the algorithm will comprehensively consider the data of other surrounding detection points and reasonably allocate weights, thereby generating an accurate and comprehensive three-dimensional concentration distribution map.

[0047] In the generated concentration distribution map, the system can accurately identify high-concentration areas. By deeply analyzing the concentration change trends of adjacent detection points, the pollution diffusion direction is determined. This analysis process includes precisely calculating the magnitude and direction angle of the concentration gradient. For example, when the hydrogen sulfide concentration at adjacent detection points in a certain area shows a gradually increasing trend, the system calculates the magnitude of the concentration gradient to quantify the intensity of this change, and at the same time determines the direction angle to clarify from which direction the pollution spreads to which direction, providing a key basis for subsequent prevention and control measures.

[0048] It will also combine the shelf layout and air flow circulation path in the cold storage to scientifically predict the spread range of polluted gases. The shelf layout in the cold storage affects the diffusion path of gases, and the air flow circulation path directly determines the spread direction and speed of polluted gases. Through simulation analysis, the system can mark the positions of affected goods in a three-dimensional model. For example, if it is predicted that a certain shelf area is on the spread path of polluted gases and the goods in this area are close to the pollution source, the system will clearly mark these goods in the three-dimensional model to remind the staff to pay key attention.

[0049] In a more optimal situation of this embodiment, it also includes validating the dynamic pollution map:

[0050] First, historical operation data of the cold storage is collected, which includes temperature change records, humidity fluctuation data, etc. These historical data contain rich information. Through in-depth mining and analysis of these data, it is used to train the pollution diffusion prediction model. This model is like an experienced "prediction expert" that can predict the current pollution diffusion situation based on the patterns in the historical data.

[0051] Then, the system will compare the real-time detected concentration data with the prediction model and calculate the credibility score of the prediction result. This score is determined based on the deviation degree between the actual concentration and the predicted concentration. For example, if the actually detected trimethylamine concentration is X and the predicted concentration given by the prediction model is Y, when the value of |X - Y| is small, it indicates that the prediction result is relatively accurate and the credibility score is high; conversely, if the value of |X - Y| is large, the credibility score is low.

[0052] When the credibility score is lower than the set standard, the system will immediately activate the multi-sensor joint verification mechanism. At this time, advanced devices such as infrared thermal imagers and hyperspectral cameras will work together. The infrared thermal imager is like a "temperature scout" that can detect abnormal surface temperatures of goods. Because the surface temperature of seafood often changes during the decay process, the infrared thermal imager can discover potential decayed goods by capturing these temperature differences. The hyperspectral camera is like a "microscopic analyst" that uses light of different wavelengths to scan the surface of goods and analyze the decay characteristics of the goods surface, such as color changes, texture abnormalities, etc.

[0053] Finally, the system dynamically adjusts the parameters of the prediction model according to the verification results. If the multi-sensor joint verification finds that there is a large deviation between the actual situation and the prediction model, the system will optimize and adjust the parameters of the prediction model based on the new data obtained from the verification, so that it can more accurately predict the pollution diffusion situation, continuously improve the accuracy and reliability of the dynamic pollution map construction, and provide strong support for the intelligent temperature control of seafood refrigeration.

[0054] In another preferred embodiment of the present invention, the heat exchange process includes:

[0055] A heat exchange channel is carefully arranged between the exhaust port and the intake port. This channel is like an invisible "energy bridge", connecting the discharged cold air and the introduced fresh air. Here, the two perform non-contact heat transfer, effectively avoiding the pollution problem that may be caused by gas mixing, and at the same time greatly improving the energy utilization efficiency.

[0056] To further optimize the heat exchange effect, a gradient pore structure is specially set at the heat exchange interface. The pore density near the cold air side and the pore density on the fresh air side are arranged according to a specific set ratio. For example, when the external environment temperature of the cold storage is relatively high and a large amount of cold air needs to be discharged from the cold storage, after multiple experiments and optimizations, the pore density near the cold air side is set to 1.5 times that of the fresh air side pore density. This design enables the cold air to exchange heat with the fresh air at a more reasonable speed when passing through the pores. The relatively high pore density on the cold air side allows the cold air to release heat more quickly, while the slightly lower pore density on the fresh air side ensures that the fresh air has enough time for heat exchange during the process of absorbing heat, thus ensuring the stability and efficiency of the overall heat exchange process.

[0057] Considering that the heat exchange channel may experience frosting or pollutant deposition during long-term operation, this embodiment is equipped with an intelligent maintenance mechanism. When the sensor installed in the heat exchange channel detects frosting (such as the frosting thickness reaches 5 mm) or the pollutant deposition causes the heat exchange efficiency to decrease (such as the heat exchange efficiency drops below 80%), the system will immediately start the high-pressure air flow flushing program. The high-pressure air flow, like a powerful "cleaning guard", jets out from a specific nozzle at a high speed and flushes all parts of the heat exchange channel with air flow in all directions. During the flushing process, the high-pressure air flow can quickly break up the frost and carry it away, and at the same time remove the deposited pollutants, restoring the smooth and efficient operation of the heat exchange channel and ensuring the continuous stability of the heat exchange process.

[0058] In another preferred embodiment of the present invention, the operation of the humidity compensation system includes:

[0059] At the end of the intake passage, an advanced atomizing humidifying device is installed. This device is like an intelligent "humidity adjustment master" that flexibly adjusts the size of the water mist particles sprayed according to the difference between the temperature of the fresh air after heat exchange and the temperature inside the cold storage. For example, if the temperature of the fresh air after heat exchange is 10°C and the temperature inside the cold storage is 5°C, with a large temperature difference, the atomizing humidifying device will, through the internal intelligent control module, adjust the water mist particles sprayed to a larger size. This is because larger water mist particles can slowly evaporate on a longer path during the process of entering the cold storage from the air inlet, better mix with the low-temperature air inside the storage, and achieve uniform humidification. Conversely, when the temperature difference is small, the device will spray smaller-sized water mist particles to achieve the humidification effect more quickly.

[0060] In addition, when the humidity sensor installed inside the cold storage detects that the difference in relative average humidity in a local area is greater than the preset threshold (such as set at ±5%), the system will quickly activate the rotary micro-mist nozzles. These nozzles are like flexible "little guardians" that perform directional humidification on this local area. The rotation angle of the nozzles is precisely determined by the direction of the humidity difference. Suppose the humidity in a certain corner of the cold storage is detected to be 8% lower than the average humidity. The sensor quickly feeds this information back to the control system. The system precisely calculates the angle by which the nozzle needs to rotate based on the position relationship of this corner relative to the average humidity area. For example, it rotates 30 degrees, enabling the micro-mist to be accurately sprayed onto the area with lower humidity, quickly increasing the humidity in this area, maintaining the overall balance of the humidity inside the cold storage, and providing an ideal cold storage environment for seafood.

[0061] In another preferred embodiment of the present invention, the pollution source tracking mode includes:

[0062] First, perform reverse path calculation in the constructed gas concentration distribution map. Imagine the gas concentration distribution map as a detailed "pollution map" clearly marking the concentrations of decay characteristic gases in each area. The system starts from the high-concentration area in the map and gradually traces back the propagation path of the polluted gas along the direction of decreasing concentration. For example, if a very high concentration of the decay characteristic gas trimethylamine is detected in a certain shelf area of the cold storage, the system takes this as a breakthrough point and, on the "pollution map", follows the trend of decreasing concentration from high to low to trace back the initial source direction of the gas like tracking a hidden "pollution track".

[0063] Next, the time series analysis method is adopted to deeply identify the spatio-temporal characteristics of pollution diffusion. Time series analysis is like shooting a "documentary" of the pollution diffusion process played in chronological order. The system uses the sliding window algorithm to accurately extract these spatio-temporal characteristics, and the window size is not fixed. It will be dynamically adjusted according to the current refrigeration power. When the refrigeration power increases, it means that the air flow speed in the cold storage accelerates, and the pollution diffusion may also become faster accordingly. At this time, in order to more carefully capture the details of pollution diffusion, the system will reduce the sliding window size. On the contrary, when the refrigeration power decreases, the air flow is relatively slow, and the pollution diffusion speed also slows down. The system will expand the window size to ensure that no key pollution diffusion information is missed. For example, at a relatively high refrigeration power of 100 kW, the sliding window size is set to a time span of 5 minutes and a spatial range of 0.5 cubic meters to closely track the rapidly changing pollution situation; when the refrigeration power drops to 50 kW, the window size is expanded to 10 minutes and 1 cubic meter to comprehensively cover the relatively slowly changing pollution process.

[0064] Subsequently, the system will clearly mark the areas where the concentration of putrefactive characteristic gases is higher than the set threshold as high-concentration areas. This set threshold is obtained through a large number of experiments and data analyses. For example, for hydrogen sulfide gas, the set threshold is 5 ppm. Once the hydrogen sulfide concentration in a certain area exceeds this value, that area will be prominently marked on the gas concentration distribution map and become the focus of attention.

[0065] The machine learning algorithm is used to deeply analyze the extracted spatio-temporal characteristics. This process is like having an experienced "analyst" interpret a large amount of data. The machine learning algorithm can keenly identify the high-concentration areas that continue to expand over time from the complex spatio-temporal data and generate a heat map of pollution diffusion in a three-dimensional model. On the heat map, different colors represent different pollution severity levels. The red areas indicate the areas with the most severe pollution and rapid diffusion, the yellow areas are the next, and the green areas represent relatively less polluted areas. Through this intuitive heat map, the staff can clearly understand the trend of pollution diffusion at a glance.

[0066] In a preferred case of this embodiment, the pollution source tracking mode further includes:

[0067] Precisely match the generated contaminated heat dissipation map with the goods storage information in the cold storage. The goods storage information in the cold storage is like a detailed "inventory map" that records the storage location of each item. Through a spatial coordinate conversion algorithm, the coordinates of the contaminated area on the heat map are corresponding to the coordinates of the goods locations in the "inventory map", thereby accurately determining the location of the contaminated goods. For example, if a certain red contaminated area is found on the heat map with corresponding spatial coordinates of (X1, Y1, Z1), after the coordinate conversion algorithm, it is found in the "inventory map" that this coordinate corresponds to a box of seafood products in the 5th grid on the 3rd layer of the shelf, thus clarifying that this box of goods has been contaminated.

[0068] After that, conduct a comprehensive risk assessment on each contaminated item. The assessment factors cover multiple key aspects, including the concentration of contaminated gas, the diffusion rate, and the storage time of the goods. Take a box of contaminated shrimp as an example. If the concentration of trimethylamine, the contaminated gas around it, is detected to be as high as 10 ppm, the diffusion rate is 0.2 cubic meters per hour, and this box of shrimp has been stored in the cold storage for 5 days. The system will calculate based on these data using a specific risk assessment model. For the concentration of contaminated gas, the higher the concentration, the greater the risk; the faster the diffusion rate, it means that the contamination may spread to surrounding goods faster, and the risk also increases; the longer the storage time of the goods, the greater the possibility that its own quality will be affected. According to the comprehensive calculation results, the contamination risk level of this box of shrimp is rated as "high", and its recommended treatment priority is marked as "handle immediately" in the generated list of contaminated goods. In this way, a detailed list of contaminated goods is generated, clearly marking the contamination risk level and recommended treatment priority of each item, providing clear and efficient guidance for the subsequent handling work of the staff, and minimizing the losses caused by the spoilage of seafood products to the greatest extent.

[0069] Please refer to Figure 2 As shown, the present invention also includes an intelligent temperature control system for seafood refrigeration, which is used to implement the above-mentioned intelligent temperature control method for seafood refrigeration, including:

[0070] A gas sensing unit for detecting the types and concentration distributions of spoilage characteristic gases and constructing a dynamic contamination map;

[0071] A directional ventilation module for controlling the opening ratio of the top exhaust port and the bottom intake port to form an air flow cycle when any sensing unit detects that the concentration of the characteristic gas exceeds the primary threshold, and the discharged cold air flows through the heat exchange area to pre-cool the introduced fresh air;

[0072] A humidity compensation system for adjusting the intensity of the atomizing humidification module by monitoring the dew point difference between the fresh air and the air in the warehouse during the ventilation process;

[0073] A pollution source tracking module, which is used to, when three consecutive sensing units detect that the concentration exceeds the secondary threshold, inversely deduce the core area of decay based on the gas diffusion path, and generate three-dimensional positioning coordinates by combining the concentration gradient change rate and the spatial distribution characteristics;

[0074] A removal monitoring module, which is used to trigger an automatic removal instruction according to the positioning coordinates, and in the process of removal, monitor the change of the gas concentration at the original storage location in real time. If the concentration does not decay to the safe value after removal, a secondary tracking is triggered.

[0075] The above has described an embodiment of the present invention in detail, but the described content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. An intelligent temperature control method for refrigerating seafood, characterized in that: The following steps are involved: Deploy multiple sets of gas sensing units in the cold storage to build a dynamic pollution map by detecting the types and concentration distribution of decay characteristic gases; When any sensing unit detects that the characteristic gas concentration exceeds the primary threshold, the directional ventilation mode is activated, and the opening ratio of the top exhaust port and the bottom air inlet is controlled to form an air flow cycle, and the exhausted cold air flows through the heat exchange area to pre-cool the introduced fresh air; The humidity compensation system is started synchronously during the ventilation process to adjust the intensity of the atomizing humidification module by monitoring the dew point difference between the fresh air and the air in the warehouse; When three consecutive sensing units detect that the concentration exceeds the secondary threshold, the pollution source tracking mode is triggered, and the core area of ​​the corruption is inferred based on the gas diffusion path, and the three-dimensional positioning coordinates are generated by combining the concentration gradient change rate and spatial distribution characteristics; Trigger the automatic removal command based on the positioning coordinates, and monitor the changes in gas concentration in the original cargo position in real time during the removal process. If the concentration does not decay to a safe value after removal, trigger secondary tracking; Pollution source tracking modes include: Perform reverse path calculation in the gas concentration distribution map, starting from the high-concentration area, and trace back the propagation path of the polluted gas in the direction of decreasing concentration; use time series analysis method to identify the spatiotemporal characteristics of pollution diffusion, and use sliding window algorithm to extract spatiotemporal characteristics. The window size is dynamically adjusted according to the current cooling power. When the cooling power increases, the window size is reduced, and when the cooling power decreases, the window size is expanded; mark the area where the concentration of decay characteristic gas is higher than the set threshold as a high-concentration area; use machine learning algorithm to analyze the extracted spatiotemporal characteristics, identify the high-concentration area that continues to expand over time, and generate a heat map of pollution diffusion in the three-dimensional model; The pollution diffusion heat map is matched with the goods storage information of the cold storage, and the location of the contaminated goods is determined through the spatial coordinate conversion algorithm. A risk assessment is conducted on each contaminated product, and the assessment factors include the concentration of polluted gas, diffusion rate and storage time of the goods. A list of contaminated goods is generated, marking the pollution risk level and recommended processing priority of each product.

2. The intelligent temperature control method for refrigerating seafood according to claim 1, characterized in that: The construction of dynamic pollution map includes: Multiple gas detection points are deployed in the cold storage, and each detection point is equipped with multiple gas sensors to simultaneously detect the concentration of multiple decay characteristic gases; the concentration data of each detection point is input into the computer system, and a three-dimensional concentration distribution map covering the entire cold storage is generated through a spatial interpolation algorithm. The interpolation algorithm automatically adjusts the calculation weight according to the distance and concentration difference between the detection points; high-concentration areas are identified in the concentration distribution map, and the direction of pollution diffusion is determined by analyzing the concentration change trend of adjacent detection points. The analysis includes calculating the concentration gradient size and direction angle; combined with the shelf layout and airflow circulation path of the cold storage, the propagation range of the polluted gas is predicted, and the location of the affected goods is marked in the three-dimensional model.

3. The intelligent temperature control method for refrigerating seafood according to claim 2, characterized in that: The construction of dynamic pollution map also includes: Collect historical operation data of cold storage, including temperature change records and humidity fluctuation data, for training pollution diffusion prediction model; compare real-time detected concentration data with the prediction model, and calculate the credibility score of the prediction result, which is based on the degree of deviation between the actual concentration and the predicted concentration; when the credibility score is lower than the set standard, start multi-sensor joint verification, including using infrared thermal imager to detect abnormal surface temperature of goods, and using hyperspectral camera to analyze the corruption characteristics of the surface of goods; dynamically adjust the prediction model parameters according to the verification results.

4. The intelligent temperature control method for refrigerating seafood according to claim 1, characterized in that: The heat exchange process includes: A heat exchange channel is set between the exhaust port and the air inlet, and the exhausted cold air and the introduced fresh air perform non-contact heat transfer; a gradient pore structure is set at the heat exchange interface, and the pore density close to the cold air side and the pore density close to the fresh air side are in a set ratio; when frost or pollutant deposition is detected in the heat exchange channel, the high-pressure airflow flushing program is started to flush the heat exchange channel with airflow.

5. The intelligent temperature control method for refrigerating seafood according to claim 1, characterized in that: The humidity compensation system operation includes: An atomizing humidification device is installed at the end of the air inlet channel. The size of the water mist particles sprayed by the humidification device is adjusted according to the difference in temperature between the fresh air after heat exchange and the temperature inside the cold storage. When it is detected that the difference in the relative average humidity of the local area is greater than the preset threshold, the rotary micro-mist nozzle is started to carry out directionally humidification of the local area. The rotation angle of the nozzle is determined by the direction of the humidity difference.

6. An intelligent temperature control system for refrigerating seafood, used to implement the intelligent temperature control method for refrigerating seafood according to any one of claims 1 to 5, characterized in that: include: Gas sensing unit, used to detect the type and concentration distribution of decay characteristic gases and build a dynamic pollution map; Directional ventilation module, used to control the opening ratio of the top exhaust port and the bottom air inlet to form an airflow cycle when any sensor unit detects that the characteristic gas concentration exceeds the primary threshold, and the exhausted cold air flows through the heat exchange area to pre-cool the introduced fresh air; Humidity compensation system, used to adjust the intensity of the atomizing humidification module by monitoring the dew point difference between the fresh air and the air in the warehouse during ventilation; The pollution source tracking module is used to infer the core area of ​​the corruption based on the gas diffusion path when three consecutive sensor units detect that the concentration exceeds the secondary threshold, and generate three-dimensional positioning coordinates based on the concentration gradient change rate and spatial distribution characteristics; The removal monitoring module is used to trigger the automatic removal command according to the positioning coordinates, and monitor the changes in the gas concentration of the original cargo position in real time during the removal process. If the concentration does not decay to a safe value after removal, secondary tracking will be triggered.

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