Intelligent temperature control system and temperature control method for refrigerating marine products

Abstract

The invention discloses an intelligent temperature control system and method for refrigeration of marine products, and belongs to the technical field of refrigeration temperature control, and the method specifically comprises the following steps: deploying a plurality of groups of gas sensing units in a refrigeration house, and constructing a dynamic pollution map by detecting the type and concentration distribution of decay characteristic gas; when any sensing unit detects that the concentration of the characteristic gas exceeds a primary threshold value, a directional ventilation mode is started, and exhausted cold air flows through the heat exchange area to precool the introduced fresh air; synchronously starting a humidity compensation system in the ventilation process; when three continuous sensing units detect that the concentration exceeds a secondary threshold value, a pollution source tracking mode is triggered, and a decay core area is reversely deduced based on a gas diffusion path; and triggering an automatic removal instruction according to the positioning coordinates, monitoring the gas concentration change of the original goods location in real time in the removal process, and triggering secondary tracking if the concentration is not attenuated to a safety value after removal.

Description

Technical Field

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

[0002] In the global food supply chain system, seafood, as a high-quality source of protein, is favored by consumers. However, since seafood is rich in water and protein, it is very susceptible to microbial invasion and deterioration 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 consumer demand for seafood quality, it is urgent to develop more advanced and intelligent seafood refrigeration temperature control technology. At present, in the field of seafood refrigeration, most cold storages use traditional temperature control solutions. Temperature regulation mainly relies on constant temperature controllers to control the start and stop of refrigeration equipment according to preset temperature values ​​to maintain a roughly stable low-temperature environment in the warehouse. For air quality monitoring in the warehouse, a common practice is to install a few temperature and humidity sensors to indirectly infer the environmental conditions in the warehouse by detecting changes in temperature and humidity. When signs of spoilage are found in seafood, overall ventilation is often used to improve air quality, and the operating time and intensity of ventilation equipment are adjusted through manual experience. In a cold storage environment, the gases emitted by some rotten seafood will cause odor pollution to the surrounding originally fresh seafood, affecting its quality. Relying solely on temperature and humidity sensors cannot accurately capture the characteristic gases released by seafood in the early stages of decay, and it is difficult to detect potential decay risks in a timely manner, resulting in a certain degree of loss when the problem is discovered. Summary of the invention

[0003] The purpose of the present invention is to provide an intelligent temperature control system and temperature control method for refrigerating seafood, so as to solve the following technical problems: The existing technology ignores the impact of gases released by some spoiled seafood on fresh seafood.

[0004] The purpose of the present invention can be achieved through the following technical solutions: An intelligent temperature control method for refrigerating seafood, comprising the following steps: 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; The automated removal command is triggered based on the positioning coordinates. During the removal process, the changes in gas concentration at the original cargo position are monitored in real time. If the concentration does not decay to a safe value after removal, secondary tracking is triggered.

[0005] As a further solution of the present invention: the construction of the 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.

[0006] As a further solution of the present invention: the construction of the 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.

[0007] As a further solution of the present invention: 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.

[0008] As a further solution of the present invention: the operation of the humidity compensation system 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.

[0009] As a further solution of the present invention: the pollution source tracking mode includes: In the gas concentration distribution map, reverse path calculation is performed, starting from the high-concentration area, and the propagation path of the polluted gas is traced back in the direction of decreasing concentration; the time series analysis method is used to identify the spatiotemporal characteristics of pollution diffusion, and the sliding window algorithm is used to extract the 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; the area where the concentration of the decay characteristic gas is higher than the set threshold is marked as a high-concentration area; the machine learning algorithm is used 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.

[0010] As a further solution of the present invention: the pollution source tracking mode also includes: 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.

[0011] The present invention also includes an intelligent temperature control system for refrigerating seafood, which is used to implement the above-mentioned intelligent temperature control method for refrigerating seafood, comprising: 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.

[0012] Beneficial effects of the present invention: The present invention deploys multiple groups of gas sensor units in the cold storage to detect the types and concentration distribution of characteristic gases of decay and construct a dynamic pollution map. It can accurately capture the characteristic gases released in the early stage of decay, timely detect potential decay risks and avoid losses. When it is detected that the concentration of characteristic gases exceeds the standard, the directional ventilation mode is started, the opening ratio of the top exhaust port and the bottom air inlet is controlled to form an airflow circulation, and the exhaust cold air is used for pre-cooling to introduce fresh air, which not only discharges polluted gases in a targeted manner, but also reduces the waste of cold energy. At the same time, the humidity compensation system is used to adjust the intensity of the atomization humidification module during ventilation to maintain the humidity balance in the warehouse. After the pollution source tracking mode is triggered, the core area of ​​decay is inferred based on the gas diffusion path and three-dimensional positioning coordinates are generated, which can accurately locate the source of decay and avoid the spread of odor pollution. It can also trigger automatic removal instructions according to the positioning coordinates. The changes in gas concentration of the original cargo position are monitored in real time during the removal process to ensure that the problem is completely solved and realize intelligent and efficient management of the cold storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The present invention will be further described below in conjunction with the accompanying drawings.

[0014] Figure 1 It is a schematic flow chart of an intelligent temperature control method for refrigerating seafood according to the present invention; Figure 2 It is a module schematic diagram of an intelligent temperature control system for refrigerating seafood according to the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] See also Figure 1 As shown, the present invention is an intelligent temperature control method for refrigerating seafood, comprising the following steps: First, multiple groups of gas sensing units are deployed in the cold storage. These sensing units are distributed in various key locations of the cold storage, such as different levels of shelves, corners, and near vents. Each unit is equipped with a variety of high-precision gas sensors, which can perform real-time detection of characteristic gases such as hydrogen sulfide and trimethylamine released when seafood spoils. By continuously collecting data on the types and concentration distribution of these gases, advanced algorithms are used to build a dynamic pollution map. For example, if a high concentration of hydrogen sulfide gas is detected at the bottom of a shelf, the map will intuitively show that the area is a potential spoilage risk area, and its range and severity will be updated in real time based on changes in concentration. When any sensing unit detects that the characteristic gas concentration exceeds the primary threshold, the directional ventilation mode is activated. At this time, the top exhaust port and the bottom air inlet of the cold storage begin to work together to accurately control the opening ratio of the two, thereby forming a specific airflow cycle. For example, if a high concentration of polluted gas is detected in a certain area, the opening of the top exhaust port will be increased to allow the polluted gas to be discharged quickly, and the bottom air inlet will be adjusted at the same time so that fresh air can be accurately added to the area. The exhausted cold air will flow through the heat exchange area, where efficient heat exchange technology 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 loss of cooling capacity. During the ventilation process, the humidity compensation system is started synchronously. The system uses a precise dew point sensor to monitor the dew point difference between the fresh air and the air in 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 in the warehouse, it means that the fresh air is relatively dry. At this time, the system will automatically adjust the intensity of the atomization humidification module. If the difference is large, the atomization humidification amount will be increased to quickly balance the humidity of the fresh air and the humidity in the warehouse, avoiding the loss of moisture in seafood due to excessive dryness of the fresh air. When three consecutive sensing units detect that the concentration exceeds the secondary threshold, the pollution source tracking mode will be triggered. Based on the gas diffusion path, a complex mathematical model is used to infer the core area of ​​the spoilage. Combining the concentration gradient change rate and spatial distribution characteristics, three-dimensional positioning coordinates are generated. For example, by analyzing the change rate of characteristic gas concentration detected by sensing units at different positions and the spatial position relationship between them, a box of seafood can be accurately located as the source of spoilage, and its coordinates can be clearly marked in the three-dimensional model. Finally, the automated removal command is triggered based on the positioning coordinates. Automated equipment, such as intelligent robotic arms, will accurately grab and remove spoiled seafood based on the coordinates. During the removal process, the gas concentration changes at the original cargo position are continuously monitored in real time. If the concentration does not decay to a safe value after removal, secondary tracking is quickly triggered to locate possible remaining spoilage contamination sources again to ensure the safety of the cold storage environment and protect other seafood from contamination.

[0017] In a preferred embodiment of the present invention, the construction of the dynamic pollution map includes: First, multiple gas detection points are deployed in the cold storage. These detection points are like precise "tentacles" and are spread all over the corners of the cold storage. For example, detection points are set up in key areas such as the middle of each row of shelves, the four corners of the cold storage, and near the entrances and exits of ventilation ducts. Each detection point is equipped with a variety of gas sensors that can simultaneously detect the concentration of multiple decay characteristic gases, such as common hydrogen sulfide, ammonia, trimethylamine, etc. These sensors are like sharp "olfactory organs" and are extremely sensitive to changes in the concentration of various characteristic gases.

[0018] Subsequently, the concentration data collected at each detection point will be quickly transmitted to the computer system. Here, these discrete data points are converted into a three-dimensional concentration distribution map covering the entire cold storage through an advanced spatial interpolation algorithm. The interpolation algorithm is highly intelligent and automatically adjusts the calculation weight according to the distance between the detection points and the concentration difference. For example, if the two detection points are close and the concentration difference is small, the algorithm will give these two detection points a relatively high weight when calculating the concentration of the area between them, making the calculation result more accurate; conversely, for detection points that are far away and have a large concentration difference, the algorithm will comprehensively consider the data of other surrounding detection points and reasonably allocate weights to generate an accurate and comprehensive three-dimensional concentration distribution map. In the generated concentration distribution map, the system can accurately identify high-concentration areas. The direction of pollution spread is determined by in-depth analysis of the concentration change trend of adjacent detection points. This analysis process includes accurate calculation of the concentration gradient size and direction angle. For example, when the hydrogen sulfide concentration of adjacent detection points in a certain area shows a trend of gradually increasing, the system will quantify the severity of this change by calculating the concentration gradient size, and determine the direction angle at the same time, clarifying from which direction the pollution is spreading, providing key basis for subsequent prevention and control measures. The system will also combine the shelf layout and air circulation path of the cold storage to scientifically predict the propagation range of the polluted gas. The shelf layout in the cold storage will affect the diffusion path of the gas, and the air circulation path directly determines the propagation direction and speed of the polluted gas. Through simulation analysis, the system can mark the location of the affected goods in the three-dimensional model. For example, if it is predicted that a certain shelf area is on the propagation path of the polluted gas, 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 special attention. In a more preferred embodiment of this embodiment, the dynamic pollution map is further verified: First, collect historical operation data of cold storage, including temperature change records, humidity fluctuation data, etc. These historical data contain rich information. Through in-depth mining and analysis of these data, they are used to train the pollution diffusion prediction model. This model is like an experienced "forecasting expert" that can predict the current pollution diffusion situation based on the rules in historical data. Next, the system will compare the real-time concentration data with the prediction model and calculate the credibility score of the prediction result. This score is determined based on the degree of deviation between the actual concentration and the predicted concentration. For example, if the actual detected concentration of trimethylamine is X, and the concentration given by the prediction model is Y, when the value of |XY| is small, it means that the prediction result is more accurate and the credibility score is high; conversely, if the value of |XY| is large, the credibility score is low. When the credibility score is lower than the set standard, the system will immediately start the multi-sensor joint verification mechanism. At this time, advanced equipment 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 temperature of goods. Because the surface temperature of seafood often changes during the spoilage process, the infrared thermal imager can detect potential spoiled goods by capturing these temperature differences. The hyperspectral camera is like a "micro-analyst" that uses light of different bands to scan the surface of the goods and analyze the spoilage characteristics of the surface of the goods, such as color changes, texture abnormalities, etc. Finally, the system will dynamically adjust the prediction model parameters based on 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 spread of pollution, continuously improve the accuracy and reliability of the construction of dynamic pollution maps, and provide solid and strong support for the intelligent temperature control of seafood refrigeration.

[0019] In another preferred embodiment of the present invention, the heat exchange process comprises: A heat exchange channel is carefully set between the exhaust port and the air inlet. This channel is like an invisible "energy bridge" connecting the exhausted cold air with the incoming fresh air. Here, the two conduct non-contact heat transfer, effectively avoiding the pollution problem that may be caused by gas mixing, while greatly improving energy utilization efficiency. In order to further optimize the heat exchange effect, a gradient pore structure is specially set at the heat exchange interface. The pore density close to 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 ambient temperature of the cold storage is high and a large amount of cold air needs to be discharged from the storage, after many experiments and optimizations, the pore density close to the cold air side is set to 1.5 times the pore density on the fresh air side. This design allows the cold air to exchange heat with the fresh air at a more reasonable speed when passing through the pores. The pore density on the cold air side is relatively high, which allows the cold air to release heat more quickly, while the pore density on the fresh air side is slightly lower, which can ensure that the fresh air has enough time to exchange heat in the process of absorbing heat, thereby ensuring that the overall heat exchange process is stable and efficient. Taking into account that frost or pollutant deposition may occur in the heat exchange channel during long-term operation, this embodiment is equipped with an intelligent maintenance mechanism. When the sensor installed in the heat exchange channel detects frosting (for example, the frost thickness reaches 5 mm) or pollutant deposition causes the heat exchange efficiency to decrease (such as the heat exchange efficiency is reduced to less than 80%), the system will immediately start the high-pressure airflow flushing program. The high-pressure airflow is like a powerful "cleaning guard". It is ejected from a specific nozzle at high speed to perform all-round airflow flushing on all parts of the heat exchange channel. During the flushing process, the high-pressure airflow can quickly break up and carry away the frost, while removing the deposited pollutants, restoring the smooth and efficient operation of the heat exchange channel, and ensuring the continuous and stable heat exchange process.

[0020] In another preferred embodiment of the present invention, the humidity compensation system operation includes: At the end of the air inlet channel, an advanced atomizing humidification device is installed. This device is like an intelligent "humidity adjustment master", which can flexibly adjust the size of the sprayed water mist particles according to the difference between the temperature of the fresh air after heat exchange and the temperature in the cold storage. For example, if the temperature of the fresh air after heat exchange is 10°C and the temperature in the cold storage is 5°C, the temperature difference is large. At this time, the atomizing humidification device will adjust the sprayed water mist particles to a larger size through the internal intelligent control module. This is because the larger water mist particles can evaporate slowly over a longer path in the process of entering the cold storage from the air inlet, and better mix with the low-temperature air in the storage to achieve uniform humidification. On the contrary, when the temperature difference is small, the device will spray smaller-sized water mist particles to achieve a faster humidification effect. In addition, when the humidity sensor installed in the cold storage detects that the difference in humidity in the local area relative to the average humidity is greater than the preset threshold (such as ±5%), the system will quickly start the rotating micro-mist nozzle. These nozzles are like flexible "little guards" that humidify the local area in a directional manner. The rotation angle of the nozzle is precisely determined by the direction of the humidity difference. Assuming that the humidity in a corner of the cold storage is detected to be 8% lower than the average humidity, the sensor will quickly feed this information back to the control system. The system will accurately calculate the angle at which the nozzle needs to rotate based on the position of the corner relative to the average humidity area, such as rotating 30 degrees, so that the micro-mist can be accurately sprayed to the area with lower humidity, quickly increase the humidity in the area, maintain the overall balance of humidity in the cold storage, and provide an ideal refrigeration environment for seafood.

[0021] In another preferred embodiment of the present invention, the pollution source tracking mode includes: First, perform reverse path calculation on the constructed gas concentration distribution map. Imagine the gas concentration distribution map as a detailed "pollution map" with the concentration of decay characteristic gases in each area clearly marked on it. The system will start from the high-concentration area in the map and gradually trace back the propagation path of the polluted gas in the direction of decreasing concentration. For example, if a very high concentration of decay characteristic gas trimethylamine is detected in a shelf area of ​​the cold storage, the system will use this as a breakthrough point and follow the trend of concentration from high to low on the "pollution map", just like tracing a hidden "pollution track", to reversely find the original source direction of the gas. Next, the time series analysis method is used to deeply identify the spatiotemporal characteristics of pollution diffusion. Time series analysis is like shooting a "documentary" of the pollution diffusion process in chronological order. The system uses a sliding window algorithm to accurately extract these spatiotemporal characteristics, and the window size is not fixed. It will be dynamically adjusted according to the current cooling power. When the cooling power increases, it means that the air flow speed in the cold storage is faster, and the pollution diffusion may also become faster accordingly. At this time, in order to capture the details of pollution diffusion more carefully, the system will reduce the sliding window size. Conversely, when the cooling power decreases, the air flow is relatively slow, and the pollution diffusion speed is also slowed down. The system will expand the window size to ensure that no key pollution diffusion information is missed. For example, when the cooling power is 100 kilowatts, 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 cooling power drops to 50 kilowatts, the window size is expanded to 10 minutes and 1 cubic meter to fully cover the relatively slowly changing pollution process. Subsequently, the system will clearly mark the area where the concentration of the characteristic gas of the decay is higher than the set threshold as a high concentration area. This set threshold is obtained after a large number of experiments and data analysis. For example, for hydrogen sulfide gas, the set threshold is 5ppm. Once the concentration of hydrogen sulfide in a certain area exceeds this value, the area will be marked prominently on the gas concentration distribution map and become the focus of attention. Using machine learning algorithms to conduct in-depth analysis of the extracted spatiotemporal features is like having an experienced "analyst" interpret massive amounts of data. Machine learning algorithms can keenly identify high-concentration areas that continue to expand over time from complex spatiotemporal data, and generate a heat map of pollution diffusion in a three-dimensional model. On the heat map, different colors represent different levels of pollution severity. Red areas represent areas with the most serious pollution and are spreading rapidly, followed by yellow areas, and green areas represent relatively lightly polluted areas. Through this intuitive heat map, staff can clearly understand the trend of pollution diffusion at a glance.

[0022] In a preferred case of this embodiment, the pollution source tracking mode further includes: The generated pollution diffusion heat map is accurately matched with the storage information of the goods in the cold storage. The storage information of the goods in the cold storage is like a detailed "inventory map", which records the storage location of each item. Through the spatial coordinate conversion algorithm, the coordinates of the contaminated area on the heat map are matched with the coordinates of the goods location in the "inventory map", so as to accurately determine the location of the contaminated goods. For example, the spatial coordinates corresponding to a certain red contaminated area on the heat map are (X1, Y1, Z1). After the coordinate conversion algorithm, it is found in the "inventory map" that the coordinates correspond to a box of seafood in the 5th grid of the 3rd shelf, which makes it clear that this box of goods has been contaminated. After that, a comprehensive risk assessment is conducted on each contaminated product. The assessment factors cover several key aspects, including the concentration of polluted gas, the diffusion rate, and the storage time of the product. For example, if the concentration of trimethylamine in the surrounding polluted gas is detected to be as high as 10ppm, the diffusion rate is 0.2 cubic meters per hour, and the shrimp in the box 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 polluted gas, the higher the concentration, the greater the risk; the faster the diffusion rate, the faster the contamination may spread to the surrounding goods, and the risk will increase accordingly; the longer the goods are stored, the greater the possibility that their quality will be affected. Based on the comprehensive calculation results, the contamination risk level of the box of shrimp is rated as "high", and the recommended treatment priority is marked as "immediate treatment" in the generated list of contaminated goods. In this way, a detailed list of contaminated goods is generated, which clearly marks the contamination risk level and recommended treatment priority of each product, providing clear and efficient guidance for the staff's subsequent treatment work, and minimizing the losses caused by seafood spoilage.

[0023] See also Figure 2 As shown, the present invention also 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: 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.

[0024] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage 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; The automated removal command is triggered based on the positioning coordinates. During the removal process, the changes in gas concentration at the original cargo position are monitored in real time. If the concentration does not decay to a safe value after removal, secondary tracking is triggered.

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. The intelligent temperature control method for refrigerating seafood according to claim 1, characterized in that: Pollution source tracking modes include: In the gas concentration distribution map, reverse path calculation is performed, starting from the high-concentration area, and the propagation path of the polluted gas is traced back in the direction of decreasing concentration; the time series analysis method is used to identify the spatiotemporal characteristics of pollution diffusion, and the sliding window algorithm is used to extract the 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; the area where the concentration of the decay characteristic gas is higher than the set threshold is marked as a high-concentration area; the machine learning algorithm is used 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.

7. The intelligent temperature control method for refrigerating seafood according to claim 6, characterized in that: Pollution source tracking mode also includes: 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.

8. 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 7, 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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