Intelligent control method and system for food processing refrigeration unit

Abstract

The present application relates to the technical field of food processing, and specifically discloses a kind of intelligent control method and system of refrigerating unit for food processing.The present application receives the control signal for refrigerating unit;When enabling intelligent control, food processing space is divided into processing production line space and other space;The basic refrigeration control is carried out to processing production line space;Real-time monitoring data of other space is obtained, temporary storage space is determined, and storage target type is determined;The corresponding target refrigeration intensity is planned, and the targeted refrigeration control is carried out to temporary storage space.The food processing space can be divided into processing production line space and other space, the basic refrigeration control is carried out to processing production line space, and through real-time monitoring and identification of other space, temporary storage space and storage target type are determined, and targeted refrigeration control is carried out, so as to realize adaptive refrigeration adjustment, avoid the problem of insufficient refrigeration affecting food quality and excessive refrigeration causing energy waste.

Description

Technical Field

[0001] This invention belongs to the field of food processing technology, and in particular relates to an intelligent control method and system for refrigeration units in food processing. Background Technology

[0002] Food processing is the process of transforming raw ingredients or primary agricultural products into food that is ready to eat or easy to preserve, transport, and sell through physical, chemical, or biological methods. It typically involves multiple stages: physical processing alters the form or structure of ingredients through washing, cutting, crushing, heating, freezing, etc., such as grinding wheat into flour or making canned fruit; chemical processing improves the flavor, color, or texture of food with additives and seasonings, such as marinating meat or baking bread; and biological processing uses technologies such as fermentation and enzymatic hydrolysis to give food unique characteristics, such as yogurt fermentation and soy sauce brewing.

[0003] In addition, modern food processing integrates technologies such as packaging, sterilization, and preservation, making refrigeration control in food processing particularly important.

[0004] In existing technologies, the control of refrigeration units in food processing usually only follows a preset fixed refrigeration logic to control the overall refrigeration of the food processing space. It cannot make adaptive refrigeration adjustments according to the actual processing line and temporary storage conditions. In practical applications, it is easy to have problems such as insufficient refrigeration affecting food quality or excessive refrigeration causing energy waste. Summary of the Invention

[0005] The purpose of this invention is to provide an intelligent control method and system for refrigeration units in food processing, aiming to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions: A method for intelligent control of a refrigeration unit in food processing, the method specifically includes the following steps: Receive control signals for the refrigeration unit and determine whether to enable intelligent control; When intelligent control is enabled, spatial planning data of the food processing space is obtained, and the food processing space is divided into processing production line space and other spaces. Basic refrigeration control is performed on the space of the aforementioned processing production line; Acquire real-time monitoring data of the other spaces, identify the real-time monitoring data, determine the temporary storage space, and determine the storage target type; According to the storage target type, a corresponding target cooling intensity is planned, and the temporary storage space is subjected to targeted cooling control according to the target cooling intensity.

[0007] As a further limitation of the technical solution of this embodiment of the invention, the step of receiving the control signal for the refrigeration unit and determining whether to enable intelligent control specifically includes the following steps: Receive the power start signal from the refrigeration unit; Start the refrigeration unit; Receive control signals for the refrigeration unit; The control signal is identified to determine whether intelligent control should be enabled.

[0008] As a further limitation of the technical solution of this embodiment of the invention, the step of acquiring spatial planning data of the food processing space and dividing the food processing space into processing production line space and other spaces when intelligent control is enabled specifically includes the following steps: When intelligent control is enabled, the processing planning information for the current processing stage is obtained; The processing planning information is identified to determine the type of food to be processed; Match the spatial planning data of the food processing space according to the type of processed food; According to the spatial planning data, the food processing space is divided into processing production line space and other spaces.

[0009] As a further limitation of the technical solution of this invention embodiment, the basic cooling control of the processing production line space specifically includes the following steps: Plan the corresponding production line refrigeration intensity according to the type of processed food; Obtain the production line cooling location data corresponding to the processing production line space; Based on the production line cooling intensity and the production line cooling location data, a corresponding production line cooling control signal is generated; In response to the production line cooling control signal, basic cooling control is performed on the processing production line space.

[0010] As a further limitation of the technical solution of this embodiment of the invention, the step of obtaining real-time monitoring data of the other spaces, identifying the real-time monitoring data, determining the temporary storage space, and determining the storage target type specifically includes the following steps: Real-time monitoring of the other spaces is performed to obtain real-time monitoring data; The real-time monitoring data is identified to determine whether there is any temporary storage occupation. When temporary storage is occupied, determine the temporary storage space; Extract the temporary storage usage monitoring data from the real-time monitoring data; Based on multiple preset types of feature data, the occupancy monitoring data is characterized and matched to determine the storage target type.

[0011] As a further limitation of the technical solution of this embodiment of the invention, the step of planning the corresponding target cooling intensity according to the storage target type, and performing targeted cooling control on the temporary storage space according to the target cooling intensity specifically includes the following steps: Plan the corresponding target cooling intensity according to the storage target type; Obtain the storage cooling location data corresponding to the temporary storage space; Based on the target cooling intensity and the storage cooling location data, a corresponding storage cooling control signal is generated; In response to the storage cooling control signal, cooling control is performed on the temporary storage space.

[0012] A smart control system for a refrigeration unit in food processing, the system comprising a smart control box for the refrigeration unit, a space partitioning processing unit, a basic refrigeration control unit, a real-time monitoring and identification unit, and a system for the refrigeration control unit, wherein: The intelligent control box for the refrigeration unit is used to receive control signals for the refrigeration unit and determine whether to enable intelligent control. The space division processing unit is used to acquire spatial planning data of the food processing space when intelligent control is enabled, and to divide the food processing space into processing production line space and other spaces. A basic refrigeration control unit is used to perform basic refrigeration control on the processing line space. The real-time monitoring and identification unit is used to acquire real-time monitoring data of the other spaces, identify the real-time monitoring data, determine the temporary storage space, and determine the storage target type. The cooling control unit is used to plan a corresponding target cooling intensity according to the storage target type, and to perform targeted cooling control on the temporary storage space according to the target cooling intensity.

[0013] As a further limitation of the technical solution of this embodiment of the invention, the spatial partitioning processing unit specifically includes: The processing planning information acquisition module is used to acquire processing planning information for the current processing stage when intelligent control is enabled. The food type identification module is used to identify the processing planning information and determine the type of food to be processed; The spatial planning data matching module is used to match the spatial planning data of the food processing space according to the type of processed food. The processing space division module is used to divide the food processing space into processing production line space and other spaces according to the space planning data.

[0014] As a further limitation of the technical solution of this embodiment of the invention, the basic refrigeration control unit specifically includes: The refrigeration intensity planning module is used to plan the corresponding refrigeration intensity of the production line according to the type of processed food. The location acquisition module is used to acquire the production line cooling location data corresponding to the processing production line space; The control signal generation module is used to generate corresponding production line cooling control signals based on the production line cooling intensity and the production line cooling location data. The basic cooling control module is used to respond to the production line cooling control signal and perform basic cooling control on the processing production line space.

[0015] As a further limitation of the technical solution of this embodiment of the invention, the real-time monitoring and identification unit specifically includes: The real-time monitoring module is used to monitor the other spaces in real time and acquire real-time monitoring data; The monitoring and identification module is used to identify the real-time monitoring data and determine whether there is temporary storage occupation. The space determination module is used to determine the temporary storage space when there is temporary storage occupation. The monitoring data extraction module is used to extract the temporary storage occupancy monitoring data from the real-time monitoring data; The feature recognition and matching module is used to identify and match the occupied monitoring data according to multiple preset types of feature data to determine the storage target type.

[0016] Compared with the prior art, the beneficial effects of the present invention are: This invention, through receiving control signals for the refrigeration unit, divides the food processing space into a processing line space and other spaces when intelligent control is activated; performs basic refrigeration control on the processing line space; acquires real-time monitoring data of other spaces to determine temporary storage spaces and storage target types; plans corresponding target refrigeration intensity; and performs targeted refrigeration control on the temporary storage spaces. This allows for the division of the food processing space into processing line spaces and other spaces, the performance of basic refrigeration control on the processing line space, and the determination of temporary storage spaces and storage target types through real-time monitoring and identification of other spaces, enabling targeted refrigeration control. This achieves adaptive refrigeration adjustment, avoiding problems such as insufficient refrigeration affecting food quality and excessive refrigeration causing energy waste. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention.

[0018] Figure 1A flowchart of an intelligent control method for a refrigeration unit in food processing, provided by an embodiment of the present invention, is shown.

[0019] Figure 2 The following is an application architecture diagram of the intelligent control system for refrigeration units in food processing provided in an embodiment of the present invention.

[0020] Figure 3 A schematic diagram of the structure of the intelligent control box for the refrigeration unit provided in an embodiment of the present invention is shown. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0022] Understandably, in existing technologies, the control of refrigeration units in food processing usually only follows a preset fixed refrigeration logic to control the overall refrigeration of the food processing space. It cannot make adaptive refrigeration adjustments according to the actual processing line and temporary storage conditions. In practical applications, this can easily lead to problems such as insufficient refrigeration affecting food quality or excessive refrigeration causing energy waste.

[0023] To address the aforementioned issues, this invention receives control signals for the refrigeration unit and determines whether intelligent control should be activated. When intelligent control is activated, it acquires spatial planning data of the food processing space, dividing it into processing line space and other spaces. Basic refrigeration control is performed on the processing line space. Real-time monitoring data of the other spaces is acquired, identified, and temporary storage spaces and storage target types are determined. Based on the storage target types, corresponding target refrigeration intensities are planned, and targeted refrigeration control is performed on the temporary storage spaces according to the target refrigeration intensities. This allows for the division of the food processing space into processing line space and other spaces, basic refrigeration control on the processing line space, and real-time monitoring and identification of other spaces to determine temporary storage spaces and storage target types for targeted refrigeration control. This achieves adaptive refrigeration adjustment, avoiding insufficient refrigeration affecting food quality and excessive refrigeration causing energy waste.

[0024] Figure 1 A flowchart of an intelligent control method for a refrigeration unit in food processing, provided by an embodiment of the present invention, is shown.

[0025] Specifically, a method for intelligent control of a refrigeration unit in food processing includes the following steps: Step S101: Receive control signals for the refrigeration unit and determine whether to enable intelligent control.

[0026] In this embodiment of the invention, the operator can perform power start and control selection operations on the intelligent control box 101 of the refrigeration unit. The intelligent control box 101 of the refrigeration unit receives the power start signal from the operator to start the operation of the refrigeration unit, and receives the control signal from the operator to start the operation of the refrigeration unit. The intelligent control box 101 of the refrigeration unit then identifies the control signal and determines whether to enable intelligent control.

[0027] Specifically, in the preferred embodiment provided by the present invention, receiving the control signal for the refrigeration unit and determining whether to enable intelligent control specifically includes the following steps: Receive the power start signal from the refrigeration unit; Start the refrigeration unit; Receive control signals for the refrigeration unit; The control signal is identified to determine whether intelligent control should be enabled.

[0028] Furthermore, the intelligent control method for the refrigeration unit in food processing also includes the following steps: Step S102: When intelligent control is enabled, spatial planning data of the food processing space is obtained, and the food processing space is divided into processing production line space and other spaces.

[0029] In this embodiment of the invention, when intelligent control is enabled, the processing planning information uploaded at the current processing stage is obtained and the processing planning information is identified to determine the type of food to be processed at the current processing stage. Then, according to the type of food to be processed, the spatial planning data of the food processing space is matched. After that, according to the spatial planning data, the space is divided into processing production line space and other spaces. The processing production line space is the spatial area where food processing is carried out based on automatic or semi-automatic production lines.

[0030] Specifically, in the preferred embodiment provided by the present invention, the step of acquiring spatial planning data of the food processing space and dividing the food processing space into processing production line space and other spaces when intelligent control is enabled specifically includes the following steps: When intelligent control is enabled, the processing planning information for the current processing stage is obtained; The processing planning information is identified to determine the type of food to be processed; Match the spatial planning data of the food processing space according to the type of processed food; According to the spatial planning data, the food processing space is divided into processing production line space and other spaces.

[0031] Specifically, according to the type of processed food, the spatial planning data of the food processing space is matched, and the specific steps are as follows: Obtain the basic temperature requirement value corresponding to the type of processed food from the preset processing planning database to obtain the basic temperature requirement value of the production line. Based on the basic temperature requirements of the production line, all physical zones that can maintain the basic temperature requirements of the production line are selected from the preset spatial planning data of the food processing space to obtain a set of candidate production line zones. Obtain the corresponding production line cooling intensity value by processing food type; filter the matching physical partitions from the set of candidate production line partitions according to the production line cooling intensity value to obtain the space occupancy partition of the processing production line. In the spatial planning data, all zones other than the processing production line space occupancy zone are designated as non-production line activity zones. The non-production line activity zone that is directly adjacent to the processing production line space zone and has material handling channels is designated as the reserve storage zone. By combining the coordinate data of the processing production line space occupancy zones, non-production line activity zones, and pre-storage zones, updated space planning data is generated, and the matching of space planning data for food processing space is completed.

[0032] The material handling channel refers to the physical channel between the non-production line activity zone and the processing production line space occupancy zone, used for material transfer equipment to pass through or transport materials. This channel includes, but is not limited to, forklift channels, conveyor belt channels, or material transition buffer zones. The zone with this channel can form a convenient material flow path with the production line space, thereby being used as a temporary storage area in the subsequent processing process to reduce the time cost and space obstacles of material handling.

[0033] Furthermore, this step can accurately select production line zones that are suitable for the current food type and automatically mark adjacent pre-storage areas with material channels, providing a detailed spatial data basis for subsequent zoned refrigeration, thereby improving the targeting and response efficiency of refrigeration control.

[0034] Furthermore, the intelligent control method for the refrigeration unit in food processing also includes the following steps: Step S103: Perform basic cooling control on the processing production line space.

[0035] In this embodiment of the invention, the corresponding cooling intensity of the production line is planned according to the type of food being processed. At the same time, the cooling location data of the production line corresponding to the processing production line space is obtained. Then, based on the cooling intensity and the cooling location data of the production line, a corresponding cooling control signal is generated. During the food processing, the production line cooling control signal is responded to to perform basic cooling control on the processing production line space.

[0036] Specifically, in the preferred embodiment provided by the present invention, the basic cooling control of the processing production line space specifically includes the following steps: Plan the corresponding production line refrigeration intensity according to the type of processed food; Obtain the production line cooling location data corresponding to the processing production line space; Based on the production line cooling intensity and the production line cooling location data, a corresponding production line cooling control signal is generated; In response to the production line cooling control signal, basic cooling control is performed on the processing production line space.

[0037] Specifically, based on the type of food being processed, the corresponding cooling intensity of the production line is planned, and the specific steps are as follows: Based on the type of processed food, the corresponding basic temperature requirement value of the production line is matched from the preset processing planning database; the basic temperature requirement value of the production line is used as the lower limit of the basic cooling temperature of the processing production line space; the zone balance temperature calculated based on the cooling intensity value of the production line is used as the upper limit of the basic cooling temperature of the processing production line space; the basic cooling temperature range is defined based on the lower limit of the basic cooling temperature and the upper limit of the basic cooling temperature. Based on the processing production line space, the coordinates of the corresponding processing production line space occupancy partitions and the coordinates of the non-production line activity partitions are obtained from the spatial planning data; the location distribution information of each production line equipment inside the processing production line space is obtained through the coordinates of the processing production line space occupancy partitions; and the adjacency boundary information between the processing production line space and the non-production line activity partitions is determined based on the coordinates of the non-production line activity partitions. By utilizing the location distribution information of each production line device within the processing production line space, the heat generation power level of each production line device within the processing production line space is identified and obtained; combined with the heat generation power level of each production line device and the basic cooling temperature range, the cooling compensation coefficient corresponding to each production line device within the processing production line space is calculated; Based on the adjacency boundary information between the processing production line space and the non-production line activity areas, the adjacent boundary regions and non-adjacent boundary regions in the processing production line space are identified. By utilizing the degree of heat exchange influence between the adjacent boundary regions and the non-production line activity areas, the boundary cooling intensity of the adjacent boundary regions is fine-tuned based on the basic cooling temperature range to generate the planned value of the boundary cooling intensity of the adjacent boundary regions. The planned value of the cooling intensity of the non-adjacent boundary regions is used as the cooling intensity corresponding to the median value of the basic cooling temperature range. Based on the cooling compensation coefficient of each production line equipment, the cooling intensity corresponding to the median value of the basic cooling temperature range is compensated and adjusted. At the same time, combined with the planned value of the boundary cooling intensity of adjacent boundary areas and the planned value of the cooling intensity of non-adjacent boundary areas, a production line cooling intensity planning distribution map is generated to complete the planning of the production line cooling intensity.

[0038] The partition balance temperature is the temperature balance value that the processing production line space can achieve under stable operation under the cooling intensity of the production line. It is determined based on the balance relationship between the cooling supply of the space and the heat load such as heat transfer of the enclosure structure and heat generation of internal equipment.

[0039] The fine-tuning process specifically involves: determining the additional heat load generated by heat penetration in the boundary area based on the temperature difference gradient, heat conduction direction, and heat exchange coefficient between the adjacent boundary area and the non-production line activity zone; dynamically adjusting the cooling intensity setpoint of the boundary area within the basic cooling temperature range based on this additional heat load—when the heat exchange influence is high, the cooling intensity is finely adjusted towards the upper limit of the range to enhance the cooling effect, and vice versa, it is finely adjusted towards the lower limit of the range to save energy; the fine-tuning amplitude is positively correlated with the degree of heat exchange influence, and the adjusted cooling intensity does not exceed the upper or lower limits of the basic cooling temperature range, thereby ensuring the temperature stability of the boundary area while avoiding over-cooling; The compensation adjustment is specifically as follows: For each piece of equipment on the production line, the heat release increment released to the surrounding space during operation is calculated based on its heat generation power level. This heat release increment is multiplied by the cooling compensation coefficient to obtain the local cooling compensation amount required for the equipment. Then, based on the cooling intensity corresponding to the midpoint of the basic cooling temperature range, the cooling intensity at the location of each piece of equipment is increased by the corresponding compensation amount to offset the temperature rise effect of the equipment's heat generation on the production line space. For areas where multiple pieces of equipment overlap, the weighted sum of the compensation amounts of each piece of equipment is taken as the final compensation value. The cooling intensity after compensation adjustment must also be constrained within the basic cooling temperature range. If the compensation amount exceeds the upper limit of the range, it is truncated at the upper limit value to ensure that the refrigeration unit does not exceed the safe operating range.

[0040] Furthermore, this step integrates equipment heat compensation and adjacent boundary heat exchange fine-tuning to enable the production line cooling intensity to dynamically adapt to equipment load and spatial heat penetration, maintaining the basic temperature control requirements of the production line while avoiding local overcooling or overheating, thus improving cooling efficiency and temperature field uniformity.

[0041] Furthermore, the intelligent control method for the refrigeration unit in food processing also includes the following steps: Step S104: Obtain real-time monitoring data of the other spaces, identify the real-time monitoring data, determine the temporary storage space, and determine the storage target type.

[0042] In this embodiment of the invention, real-time monitoring data is obtained by monitoring other spaces in real time. Then, the real-time monitoring data is dynamically identified to determine whether there is temporary storage occupation in other spaces. If temporary storage occupation is determined, the temporary storage space occupied in other spaces is identified. At the same time, the occupation monitoring data of temporary storage occupation is extracted from the real-time monitoring data. Then, according to multiple preset type feature data, the occupation monitoring data is characterized and matched to determine the storage target type of temporary storage occupation. The storage target type is the type of food or material occupied in the temporary storage.

[0043] Specifically, in the preferred embodiment provided by the present invention, the steps of acquiring real-time monitoring data of the other spaces, identifying the real-time monitoring data, determining the temporary storage space, and determining the storage target type specifically include the following steps: Real-time monitoring of the other spaces is performed to obtain real-time monitoring data; The real-time monitoring data is identified to determine whether there is any temporary storage occupation. When temporary storage is occupied, determine the temporary storage space; Extract the temporary storage usage monitoring data from the real-time monitoring data; Based on multiple preset types of feature data, the occupancy monitoring data is characterized and matched to determine the storage target type.

[0044] Specifically, based on multiple preset types of feature data, the occupancy monitoring data is subjected to feature identification and matching to determine the storage target type. The specific steps are as follows: The spatial temperature distribution information and the outline information of stacked objects in the space are obtained by temperature sensing arrays and visual acquisition devices in each physical zone. According to the preset sampling time interval, the temperature change gradient value and the object contour edge feature value in each physical partition are extracted from the spatial temperature distribution information and the spatial stacked object contour information, respectively; the temperature change gradient value and the object contour edge feature value are correlated and compared, and a temporary storage occupancy mark is generated. Based on the temporary storage occupancy marker, the corresponding partition coordinates are retrieved from the spatial planning data; the physical area defined by the partition coordinates is used as temporary storage space, and temporary storage space information is generated. Based on the coordinates of each partition in the temporary storage space information, temperature change data and object contour data within the corresponding spatial and temporal range are extracted from the spatial temperature distribution information and the stacked object contour information within the space. The temperature change data and object contour data are then aligned and fused along the time axis to obtain the occupancy monitoring data corresponding to the temporary storage space. Based on the current type of processed food, the corresponding type feature data of the processed food type is selected from the preset type feature data; the instantaneous temperature value sequence in the occupancy monitoring data is compared with the reference thermal property feature parameters for thermal response trend comparison; at the same time, the change trajectory of the stacked object edge in the occupancy monitoring data is matched with the reference external size parameters to obtain a successful type matching mark. By using the successful type matching marker, candidate ingredients or materials with the highest similarity to the instantaneous temperature value sequence and stack edge change trajectory in the occupancy monitoring data are extracted from the type feature data, and the type label corresponding to the candidate ingredients or materials is used as the determined storage target type.

[0045] Furthermore, this step determines temporary storage occupancy by integrating temperature gradient changes with object contour features, and identifies material types by combining thermal properties and shape parameters. This reliably distinguishes temporary storage materials from regular vacant areas, providing accurate type information for subsequent zoned refrigeration.

[0046] Furthermore, the intelligent control method for the refrigeration unit in food processing also includes the following steps: Step S105: According to the storage target type, plan the corresponding target cooling intensity, and according to the target cooling intensity, perform targeted cooling control on the temporary storage space.

[0047] In this embodiment of the invention, a corresponding target cooling intensity is planned according to the storage target type, and storage cooling location data corresponding to the temporary storage space is obtained. Then, a corresponding storage cooling control signal is generated based on the target cooling intensity and storage cooling location data. In turn, by responding to the storage cooling control signal, targeted cooling control is performed on the temporary storage space to ensure that the temporarily stored food or materials can also receive appropriate cooling.

[0048] Specifically, in the preferred embodiment provided by the present invention, the step of planning a corresponding target cooling intensity according to the storage target type, and performing targeted cooling control on the temporary storage space according to the target cooling intensity, specifically includes the following steps: Plan the corresponding target cooling intensity according to the storage target type; Obtain the storage cooling location data corresponding to the temporary storage space; Based on the target cooling intensity and the storage cooling location data, a corresponding storage cooling control signal is generated; In response to the storage cooling control signal, cooling control is performed on the temporary storage space.

[0049] Specifically, according to the storage target type, the corresponding target cooling intensity is planned, and the specific steps are as follows: According to the storage target type, the basic temperature requirement value and the maximum cooling intensity limit corresponding to the storage target type are selected from the preset cooling strategy database; the basic temperature requirement value is used as the lower limit of the target cooling temperature, and the maximum cooling intensity limit is used as the upper limit of the target cooling temperature; the target cooling temperature range is defined based on the lower limit of the target cooling temperature and the upper limit of the target cooling temperature. Obtain the partition coordinates of the temporary storage space in the spatial planning data; use the partition coordinates to determine the spatial location of the temporary storage space in other spaces; use the spatial location of the temporary storage space in other spaces to calculate the spatial distance between the temporary storage space and the processing production line space. The temporary storage space is determined to be adjacent to the processing production line space based on the spatial distance between the temporary storage space and the processing production line space. If the spatial distance is less than a preset adjacency threshold, the temporary storage space is determined to be adjacent to the processing production line space to obtain a judgment result. The adjacency boundary length between the temporary storage space and the processing production line space is obtained based on the judgment result. Based on the adjacency boundary length, the adjacency boundary area in the temporary storage space that is adjacent to the processing production line space is subjected to boundary cooling intensity compensation processing based on the target cooling temperature range to obtain the boundary target cooling intensity planning value of the adjacency boundary area. Obtain the non-adjacent boundary regions in the temporary storage space, excluding the adjacent boundary regions, and use the cooling intensity corresponding to the median value of the target cooling temperature range as the basic target cooling intensity planning value for the non-adjacent boundary regions. Extract the stack volume and stack height corresponding to the storage target type from the occupancy monitoring data; determine the heat capacity level of the storage target type in the temporary storage space based on the stack volume and stack height; and perform heat capacity compensation correction on the basic target cooling intensity planning value of the non-adjacent boundary area through the heat capacity level to generate the corrected target cooling intensity planning value of the non-adjacent boundary area. Spatially integrate the planned target cooling intensity values ​​of adjacent boundary areas and the modified target cooling intensity values ​​of non-adjacent boundary areas to generate a target cooling intensity planning distribution map corresponding to the temporary storage space; use the target cooling intensity planning distribution map to complete the planning of the corresponding target cooling intensity.

[0050] The boundary cooling intensity compensation process is as follows: Based on the proportion of the adjacent boundary length to the total perimeter of the temporary storage space, and the current basic cooling intensity of the processing line space, the amount of cold overflow or heat penetration from the production line space to the temporary storage space through the adjacent boundary is estimated. When the adjacent boundary is longer and the cooling intensity of the production line is higher, the external temperature interference to the adjacent boundary area of ​​the temporary storage space is more significant. Therefore, the target cooling intensity of this area needs to be compensated downward (i.e., enhanced cooling) to offset heat penetration, or compensated upward (i.e., weakened cooling) to utilize the residual cooling of the production line space. The compensation magnitude is positively correlated with the adjacent boundary length, and is weighted according to the proportion of the boundary length to the total boundary length of the temporary storage space, based on the difference between the actual cooling temperature of the production line space and the target temperature of the temporary storage space. The compensated cooling intensity must be constrained within the target cooling temperature range. If the compensated intensity exceeds the upper or lower limit, it is truncated to the boundary value of the range to ensure the balance between cooling safety and energy saving of the temporary storage space. The heat capacity compensation correction is specifically as follows: Based on the stack volume and stack height, the volume density and stack compactness of the storage target in the temporary storage space are calculated, and its heat capacity level is comprehensively evaluated in conjunction with the specific heat capacity attribute of the storage target (obtained from a preset database based on the storage target type). The higher the heat capacity level, the more heat the storage target absorbs or releases when the temperature changes, and the greater the temperature inertia. For targets with high heat capacity levels, their own temperature changes slowly. In order to maintain the stability of their core temperature, the cooling intensity needs to be appropriately reduced (i.e., the compensation is positive, and the cooling is weakened) to avoid excessive cooling and energy waste. For targets with low heat capacity levels, their temperature is sensitive to the cooling response, and the cooling intensity needs to be appropriately increased (i.e., the compensation is negative, and the cooling is enhanced) to quickly reach the target temperature. The compensation amount is linearly converted according to the preset compensation coefficient corresponding to the heat capacity level. The compensated cooling intensity must still be within the target cooling temperature range. If it exceeds the range, it is truncated according to the boundary value. The spatial integration specifically involves: based on the partition coordinates of the temporary storage space, splicing adjacent boundary areas and non-adjacent boundary areas in space according to their actual geometric positions; for the transition zone between adjacent and non-adjacent boundary areas, a spatial smoothing interpolation strategy is adopted—that is, along the boundary normal direction, the planned cooling intensity value of the adjacent boundary area is gradually transitioned to the corrected planned cooling intensity value of the non-adjacent boundary area, and the transition width matches the spatial scale of the transition zone to avoid abrupt changes or discontinuities in cooling intensity at the junction of adjacent areas, thereby forming a continuous and smooth spatial distribution of target cooling intensity within the entire temporary storage space; during the integration process, using the coordinate grid of each area as a reference, the planned values ​​are mapped one by one to the corresponding spatial positions, ultimately generating a target cooling intensity planned distribution map covering the entire temporary storage space.

[0051] Furthermore, this step combines the temperature requirements of the storage target, the heat exchange impact from adjacent production lines, and the heat capacity level of the stacked materials to plan differentiated cooling intensities for different areas of the temporary storage space. This can effectively address the cooling differences in different locations and material characteristics, achieve precise temperature control, and reduce cooling waste.

[0052] Furthermore, Figure 2 The following is an application architecture diagram of the intelligent control system for refrigeration units in food processing provided in an embodiment of the present invention.

[0053] In another preferred embodiment of the present invention, an intelligent control system for a refrigeration unit in food processing specifically includes: The intelligent control box 101 for the refrigeration unit is used to receive control signals for the refrigeration unit and determine whether to enable intelligent control.

[0054] In this embodiment of the invention, the operator can perform power start and control selection operations on the intelligent control box 101 of the refrigeration unit. The intelligent control box 101 of the refrigeration unit receives the power start signal from the operator to start the operation of the refrigeration unit, and receives the control signal from the operator to start the operation of the refrigeration unit. The intelligent control box 101 of the refrigeration unit then identifies the control signal and determines whether to enable intelligent control.

[0055] It is understandable that, such as Figure 3 The diagram shows a schematic of the structure of the intelligent control box for the refrigeration unit provided in an embodiment of the present invention. In this embodiment, the intelligent control box for the refrigeration unit consists of a power button, a refrigeration button, a display screen, a mode selection panel, and a handle. When the operator presses the power button to start the power, and presses the refrigeration button and selects the intelligent mode in the mode selection panel, a corresponding control signal is generated and intelligent control is activated. The display screen will then display the corresponding refrigeration temperature.

[0056] The space division processing unit 102 is used to acquire spatial planning data of the food processing space when intelligent control is enabled, and to divide the food processing space into processing production line space and other spaces.

[0057] In this embodiment of the invention, when intelligent control is enabled, the space division processing unit 102 obtains the processing planning information uploaded at the current processing stage, identifies the processing planning information, determines the type of food to be processed at the current processing stage, matches the space planning data of the food processing space according to the type of food to be processed, and then performs space division planning according to the space planning data, dividing the food processing space into processing production line space and other spaces. The processing production line space is the space area where food processing is carried out based on automatic or semi-automatic production lines.

[0058] Specifically, in the preferred embodiment provided by the present invention, the spatial partitioning processing unit 102 specifically includes: The processing planning information acquisition module is used to acquire processing planning information for the current processing stage when intelligent control is enabled. The food type identification module is used to identify the processing planning information and determine the type of food to be processed; The spatial planning data matching module is used to match the spatial planning data of the food processing space according to the type of processed food. The processing space division module is used to divide the food processing space into processing production line space and other spaces according to the space planning data.

[0059] Furthermore, the intelligent control system for the refrigeration unit in food processing also includes: The basic refrigeration control unit 103 is used to perform basic refrigeration control on the processing production line space.

[0060] In this embodiment of the invention, the basic refrigeration control unit 103 plans the corresponding production line refrigeration intensity according to the type of food being processed. At the same time, it acquires the production line refrigeration location data corresponding to the processing production line space. Then, based on the production line refrigeration intensity and production line refrigeration location data, it generates a corresponding production line refrigeration control signal. During the food processing process, it responds to the production line refrigeration control signal and performs basic refrigeration control on the processing production line space.

[0061] Specifically, in the preferred embodiment provided by the present invention, the basic refrigeration control unit 103 specifically includes: The refrigeration intensity planning module is used to plan the corresponding refrigeration intensity of the production line according to the type of processed food. The location acquisition module is used to acquire the production line cooling location data corresponding to the processing production line space; The control signal generation module is used to generate corresponding production line cooling control signals based on the production line cooling intensity and the production line cooling location data. The basic cooling control module is used to respond to the production line cooling control signal and perform basic cooling control on the processing production line space.

[0062] Furthermore, the intelligent control system for the refrigeration unit in food processing also includes: The real-time monitoring and identification unit 104 is used to acquire real-time monitoring data of the other spaces, identify the real-time monitoring data, determine the temporary storage space, and determine the storage target type.

[0063] In this embodiment of the invention, the real-time monitoring and identification unit 104 acquires real-time monitoring data by monitoring other spaces in real time, and then dynamically identifies the real-time monitoring data to determine whether there is temporary storage occupation in other spaces. If temporary storage occupation is determined, the unit identifies the temporary storage space occupied in other spaces. At the same time, the unit extracts the occupation monitoring data of temporary storage occupation from the real-time monitoring data, and then performs feature identification and matching on the occupation monitoring data according to multiple preset type feature data to determine the storage target type of temporary storage occupation. The storage target type is the type of food or material occupied in the temporary storage.

[0064] Specifically, in the preferred embodiment provided by the present invention, the real-time monitoring and identification unit 104 specifically includes: The real-time monitoring module is used to monitor the other spaces in real time and acquire real-time monitoring data; The monitoring and identification module is used to identify the real-time monitoring data and determine whether there is temporary storage occupation. The space determination module is used to determine the temporary storage space when there is temporary storage occupation. The monitoring data extraction module is used to extract the temporary storage occupancy monitoring data from the real-time monitoring data; The feature recognition and matching module is used to identify and match the occupied monitoring data according to multiple preset types of feature data to determine the storage target type.

[0065] Furthermore, the intelligent control system for the refrigeration unit in food processing also includes: The cooling control unit 105 is used to plan a corresponding target cooling intensity according to the storage target type, and to perform targeted cooling control on the temporary storage space according to the target cooling intensity.

[0066] In this embodiment of the invention, the refrigeration control unit 105 plans the corresponding target refrigeration intensity according to the storage target type, and obtains the storage refrigeration location data corresponding to the temporary storage space. Then, based on the target refrigeration intensity and the storage refrigeration location data, a corresponding storage refrigeration control signal is generated. Then, by responding to the storage refrigeration control signal, the temporary storage space is subjected to targeted refrigeration control to ensure that the temporarily stored food or materials can also be refrigerated accordingly.

[0067] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0068] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0069] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0070] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0071] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for intelligent control of a refrigeration unit in food processing, characterized in that, The method specifically includes the following steps: Receive control signals for the refrigeration unit and determine whether to enable intelligent control; When intelligent control is enabled, spatial planning data of the food processing space is obtained, and the food processing space is divided into processing production line space and other spaces. Basic refrigeration control is performed on the space of the aforementioned processing production line; Acquire real-time monitoring data of the other spaces, identify the real-time monitoring data, determine the temporary storage space, and determine the storage target type; According to the storage target type, a corresponding target cooling intensity is planned, and the temporary storage space is subjected to targeted cooling control according to the target cooling intensity.

2. The intelligent control method for refrigeration units in food processing according to claim 1, characterized in that, Receiving control signals for the refrigeration unit and determining whether to enable intelligent control specifically includes the following steps: Receive the power start signal from the refrigeration unit; Start the refrigeration unit; Receive control signals for the refrigeration unit; The control signal is identified to determine whether intelligent control should be enabled.

3. The intelligent control method for refrigeration units in food processing according to claim 1, characterized in that, When intelligent control is enabled, acquiring spatial planning data of the food processing space and dividing the food processing space into processing production line space and other spaces specifically includes the following steps: When intelligent control is enabled, the processing planning information for the current processing stage is obtained; The processing planning information is identified to determine the type of food to be processed; Match the spatial planning data of the food processing space according to the type of processed food; According to the spatial planning data, the food processing space is divided into processing production line space and other spaces.

4. The intelligent control method for refrigeration units in food processing according to claim 3, characterized in that, According to the type of processed food, the spatial planning data for the food processing space is matched. The specific steps are as follows: Obtain the basic temperature requirement value corresponding to the type of processed food from the preset processing planning database to obtain the basic temperature requirement value of the production line. Based on the basic temperature requirements of the production line, all physical zones that can maintain the basic temperature requirements of the production line are selected from the preset spatial planning data of the food processing space to obtain a set of candidate production line zones. Obtain the corresponding production line cooling intensity value by processing the type of food; Based on the cooling intensity value of the production line, the matching physical partitions are selected from the set of candidate production line partitions to obtain the space occupancy partitions of the processing production line; In the spatial planning data, all zones other than the processing production line space occupancy zone are designated as non-production line activity zones. The non-production line activity zone that is directly adjacent to the processing production line space zone and has material handling channels is designated as the reserve storage zone. By combining the coordinate data of the processing production line space occupancy zones, non-production line activity zones, and pre-storage zones, updated space planning data is generated, and the matching of space planning data for food processing space is completed.

5. The intelligent control method for refrigeration units in food processing according to claim 4, characterized in that, The basic cooling control of the processing line space specifically includes the following steps: Plan the corresponding production line refrigeration intensity according to the type of processed food; Obtain the production line cooling location data corresponding to the processing production line space; Based on the production line cooling intensity and the production line cooling location data, a corresponding production line cooling control signal is generated; In response to the production line cooling control signal, basic cooling control is performed on the processing production line space.

6. The intelligent control method for refrigeration units in food processing according to claim 5, characterized in that, Based on the type of processed food, the corresponding production line refrigeration intensity is planned, and the specific steps are as follows: Based on the type of processed food, the corresponding basic temperature requirement value of the production line is matched from the preset processing planning database; the basic temperature requirement value of the production line is used as the lower limit of the basic cooling temperature of the processing production line space; the zone balance temperature calculated based on the cooling intensity value of the production line is used as the upper limit of the basic cooling temperature of the processing production line space; the basic cooling temperature range is defined based on the lower limit of the basic cooling temperature and the upper limit of the basic cooling temperature. Based on the processing production line space, the coordinates of the corresponding processing production line space occupancy partitions and the coordinates of the non-production line activity partitions are obtained from the spatial planning data; the location distribution information of each production line equipment inside the processing production line space is obtained through the coordinates of the processing production line space occupancy partitions; and the adjacency boundary information between the processing production line space and the non-production line activity partitions is determined based on the coordinates of the non-production line activity partitions. By utilizing the location distribution information of each production line device within the processing production line space, the heat generation power level of each production line device within the processing production line space is identified and obtained; combined with the heat generation power level of each production line device and the basic cooling temperature range, the cooling compensation coefficient corresponding to each production line device within the processing production line space is calculated; Based on the adjacency boundary information between the processing production line space and the non-production line activity areas, the adjacent boundary regions and non-adjacent boundary regions in the processing production line space are identified. By utilizing the degree of heat exchange influence between the adjacent boundary regions and the non-production line activity areas, the boundary cooling intensity of the adjacent boundary regions is fine-tuned based on the basic cooling temperature range to generate the planned value of the boundary cooling intensity of the adjacent boundary regions. The planned value of the cooling intensity of the non-adjacent boundary regions is used as the cooling intensity corresponding to the median value of the basic cooling temperature range. Based on the cooling compensation coefficient of each production line equipment, the cooling intensity corresponding to the median value of the basic cooling temperature range is compensated and adjusted. At the same time, combined with the planned value of the boundary cooling intensity of adjacent boundary areas and the planned value of the cooling intensity of non-adjacent boundary areas, a production line cooling intensity planning distribution map is generated to complete the planning of the production line cooling intensity.

7. The intelligent control method for refrigeration units in food processing according to claim 6, characterized in that, The steps of acquiring real-time monitoring data from the other spaces, identifying the real-time monitoring data, determining the temporary storage space, and determining the storage target type specifically include the following: Real-time monitoring of the other spaces is performed to obtain real-time monitoring data; The real-time monitoring data is identified to determine whether there is any temporary storage occupation. When temporary storage is occupied, determine the temporary storage space; Extract the temporary storage usage monitoring data from the real-time monitoring data; Based on multiple preset types of feature data, the occupancy monitoring data is characterized and matched to determine the storage target type.

8. The intelligent control method for refrigeration units in food processing according to claim 7, characterized in that, Based on multiple preset types of feature data, feature identification and matching are performed on the occupancy monitoring data to determine the storage target type. The specific steps are as follows: The spatial temperature distribution information and the outline information of stacked objects in the space are obtained by temperature sensing arrays and visual acquisition devices in each physical zone. According to the preset sampling time interval, the temperature change gradient value and object contour edge feature value in each physical zone are extracted from the spatial temperature distribution information and the spatial stacked object contour information, respectively. The temperature change gradient value is correlated and compared with the feature value of the object's contour edge, and a temporary storage occupancy marker is generated; Based on the temporary storage occupancy marker, the corresponding partition coordinates are retrieved from the spatial planning data; the physical area defined by the partition coordinates is used as temporary storage space, and temporary storage space information is generated. Based on the coordinates of each partition in the temporary storage space information, temperature change data and object contour data within the corresponding spatial and temporal range are extracted from the spatial temperature distribution information and the stacked object contour information within the space. The temperature change data and object contour data are then aligned and fused along the time axis to obtain the occupancy monitoring data corresponding to the temporary storage space. Based on the current type of processed food, the corresponding type feature data of the processed food type is selected from the preset type feature data; the instantaneous temperature value sequence in the occupancy monitoring data is compared with the reference thermal property feature parameters for thermal response trend comparison; at the same time, the change trajectory of the stacked object edge in the occupancy monitoring data is matched with the reference external size parameters to obtain a successful type matching mark. By using the successful type matching marker, candidate ingredients or materials with the highest similarity to the instantaneous temperature value sequence and stack edge change trajectory in the occupancy monitoring data are extracted from the type feature data, and the type label corresponding to the candidate ingredients or materials is used as the determined storage target type.

9. The intelligent control method for refrigeration units in food processing according to claim 8, characterized in that, The step of planning a corresponding target cooling intensity according to the storage target type, and performing targeted cooling control on the temporary storage space according to the target cooling intensity, specifically includes the following steps: Plan the corresponding target cooling intensity according to the storage target type; Obtain the storage cooling location data corresponding to the temporary storage space; Based on the target cooling intensity and the storage cooling location data, a corresponding storage cooling control signal is generated; In response to the storage cooling control signal, cooling control is performed on the temporary storage space.

10. The intelligent control method for refrigeration units in food processing according to claim 9, characterized in that, Based on the storage target type, the corresponding target cooling intensity is planned, and the specific steps are as follows: According to the storage target type, the basic temperature requirement value and the maximum cooling intensity limit corresponding to the storage target type are selected from the preset cooling strategy database; the basic temperature requirement value is used as the lower limit of the target cooling temperature, and the maximum cooling intensity limit is used as the upper limit of the target cooling temperature; the target cooling temperature range is defined based on the lower limit of the target cooling temperature and the upper limit of the target cooling temperature. Obtain the partition coordinates of the temporary storage space in the spatial planning data; use the partition coordinates to determine the spatial location of the temporary storage space in other spaces; use the spatial location of the temporary storage space in other spaces to calculate the spatial distance between the temporary storage space and the processing production line space. The temporary storage space is determined to be adjacent to the processing production line space based on the spatial distance between the temporary storage space and the processing production line space, so as to obtain the determination result; the adjacency boundary length between the temporary storage space and the processing production line space is obtained based on the determination result; based on the adjacency boundary length, the boundary cooling intensity compensation processing is performed on the adjacency boundary area of ​​the temporary storage space adjacent to the processing production line space based on the target cooling temperature range, so as to obtain the boundary target cooling intensity planning value of the adjacency boundary area. Obtain the non-adjacent boundary regions in the temporary storage space, excluding the adjacent boundary regions, and use the cooling intensity corresponding to the median value of the target cooling temperature range as the basic target cooling intensity planning value for the non-adjacent boundary regions. Extract the stack volume and stack height corresponding to the storage target type from the occupancy monitoring data; determine the thermal capacity level of the storage target type in the temporary storage space based on the stack volume and stack height; The basic target cooling intensity planning value for non-adjacent boundary areas is corrected by heat capacity compensation based on heat capacity level, so as to generate the corrected target cooling intensity planning value for non-adjacent boundary areas. Spatially integrate the boundary target cooling intensity planning values ​​of adjacent boundary areas and the modified target cooling intensity planning values ​​of non-adjacent boundary areas to generate a target cooling intensity planning distribution map corresponding to the temporary storage space; The target cooling intensity planning distribution map is used to complete the planning of the corresponding target cooling intensity.

11. An intelligent control system for a refrigeration unit in food processing, characterized in that, The system employs the intelligent control method for refrigeration units in food processing as described in any one of claims 1 to 10, and the system comprises: The intelligent control box for the refrigeration unit is used to receive control signals for the refrigeration unit and determine whether to enable intelligent control. The space division processing unit is used to acquire spatial planning data of the food processing space when intelligent control is enabled, and to divide the food processing space into processing production line space and other spaces. A basic refrigeration control unit is used to perform basic refrigeration control on the processing line space. The real-time monitoring and identification unit is used to acquire real-time monitoring data of the other spaces, identify the real-time monitoring data, determine the temporary storage space, and determine the storage target type. The cooling control unit is used to plan a corresponding target cooling intensity according to the storage target type, and to perform targeted cooling control on the temporary storage space according to the target cooling intensity.

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