A six-sided active temperature control method and system for storage

Abstract

The present invention relates to the field of storage temperature control, and more specifically, the present invention relates to a method and system for active temperature control of six sides of a storage, the method comprising: obtaining the location information of cooling wall pipelines and the distribution location information of temperature measuring points on the six sides of the storage and preprocessing infrared images to obtain grayscale images; obtaining the temperature influence range of the cooling wall pipelines in the grayscale image, and judging the working state of the cooling wall pipelines; calculating the ratio of the number of grayscale values ​​in a preset direction in an abnormal point set to the number of all abnormal points in the abnormal point set, and using the ratio as an influence coefficient; calculating the ratio of the sum of the largest abnormal point and the smallest abnormal point in the abnormal point set to the mean of twice the abnormal point set as a temperature evaluation coefficient, judging whether to perform temperature compensation according to the temperature evaluation coefficient, and using the influence coefficient as an adjustment parameter for temperature compensation. The present invention reduces the risk of grain mildew caused by abnormal local temperature in the warehouse by temperature compensation for the pipelines of the abnormal cooling wall.

Description

Technical Field

[0001] The present invention relates to the field of warehouse temperature control, and more specifically, to a warehouse six-side active temperature control method and system. Background Art

[0002] Based on the law of heat transfer, nearly 30% of the grain in traditional granaries is in an uncontrolled temperature state in summer. In hot seasons, due to the intensity and duration of sunlight, the high temperature outside will cause the surface temperature of the grain pile to rise, and the grain pile will have a cold core and hot skin phenomenon, so that the grain temperature in the surface area of ​​the grain pile is generally high, which is easy to form local high temperature points and increase the risk of grain mildew. At present, the integrated control and intelligent system of temperature control unit equipment can achieve the effect of low temperature control on the six sides of the storage, and combined with grain condition detection, the cold core and hot skin phenomenon has been solved. It is suitable for grain storage in hot summer areas. It is the optimal form of green grain storage technology at present, maintaining the quality of stored grain and reducing storage losses.

[0003] The existing patent application document with publication number CN114794525A discloses a tobacco storage system and a storage condition control method, which belongs to the field of tobacco storage. In this method, a controller determines a control data group based on the temperature and humidity information in a sealed tent and a pre-stored control scheme table, and controls the storage conditions of the stored tobacco with the control data group, so as to achieve the storage conditions of the stored tobacco being relatively well maintained at standard storage conditions.

[0004] In the above scheme, the control data group is determined only by temperature and humidity information and the pre-stored control scheme table to adjust the internal temperature of the warehouse; however, based on the existing low-temperature control system on the six sides of the warehouse, due to unstable cooling water temperature control, insufficient cooling water volume control, unreasonable pipeline layout or high-load operation of the temperature control unit equipment, the cooling wall pipeline temperature will become abnormal, resulting in local high-temperature areas on the six sides of the warehouse, which will create the risk of grain mildew. Summary of the invention

[0005] In order to solve the problem that when the cooling wall pipeline is abnormal, local high-temperature areas will appear on the six sides of the storage, and there will still be a risk of grain mildew, the present invention provides solutions in the following aspects.

[0006] In a first aspect, a method for active temperature control of six sides of a warehouse comprises: obtaining the location information of cooling wall pipelines and the distribution location information of temperature measuring points of temperature control unit equipment on the six sides of the warehouse, obtaining infrared images of the six sides of the warehouse according to the distribution location information of the temperature measuring points, and preprocessing the infrared images to obtain grayscale images marked with the location information of cooling wall pipelines and temperature measuring points; obtaining abnormal points of pixel gradients in the grayscale images, constructing an abnormal point set, and using the abnormal point set as the temperature influence range of the cooling wall pipelines in the local area corresponding to the temperature measuring points; determining the gradient descent direction based on the temperature influence range, and judging the influence of the cooling wall pipelines on the temperature of the cooling wall pipelines. The working status of the temperature-controlled unit equipment should be determined, wherein the working status is normal or abnormal; the temperature influence range of the abnormal cooling wall pipeline is obtained, and the ratio of the number of gray values ​​in a preset direction in the abnormal point set to the number of all abnormal points in the abnormal point set is calculated, and the ratio is used as the influence coefficient; the ratio of the sum of the largest abnormal point and the smallest abnormal point in the abnormal point set to the mean of twice the abnormal point set is calculated as the temperature evaluation coefficient, and whether to perform temperature compensation on the abnormal cooling wall pipeline is determined according to the temperature evaluation coefficient, and the influence coefficient is used as an adjustment parameter for temperature compensation to actively control the temperature of the six sides of the storage.

[0007] The effect is as follows: through infrared image acquisition and grayscale image processing, the location information of the cooling wall pipeline of the temperature control unit equipment and the temperature distribution of the temperature measuring point can be accurately identified, so as to realize the precise control of the temperature of the six sides of the storage; by analyzing the gradient abnormal points in the grayscale image, it is possible to timely discover whether the working status of the local cooling wall pipeline is normal; the temperature influence range of the abnormal equipment is identified, and evaluated through the influence coefficient and the temperature evaluation coefficient, which is helpful to perform temperature compensation for the abnormal equipment, and the influence coefficient is used as the adjustment parameter of the temperature compensation to realize the intelligent adjustment of the cooling wall pipeline, automatically adapt to different storage environments and needs, maintain the quality of stored items such as grain, reduce the quality degradation caused by temperature fluctuations, reduce the loss of stored items caused by abnormal temperature, extend the storage period, and reduce storage costs.

[0008] Preferably, obtaining abnormal points of pixel gradients in the grayscale image includes:

[0009] Select any cooling wall pipeline as the target area, the temperature of the target area gradually changes with the length of the pipeline to form a temperature gradient, and take the target area as the center, select the grayscale gradient value of the preset direction of the target area to form a grayscale value sequence;

[0010] The ratio of the grayscale gradient of each pixel in the corresponding grayscale value sequence is calculated and normalized to obtain the abnormal index of each pixel. When the abnormal index is greater than or equal to the abnormal threshold, the pixel corresponding to the abnormal index is an abnormal point.

[0011] The effect is: by analyzing the infrared image of the cooling wall pipeline, selecting the gray gradient value sequence in the preset direction, calculating the gray gradient ratio of each pixel and normalizing it to determine the abnormality index, so as to obtain the possible temperature anomaly of the cooling wall pipeline. When the abnormality index is lower than the set threshold, the pixel corresponding to the abnormal index is taken as the abnormal point, thereby realizing the rapid detection and positioning of the local temperature anomaly of the cooling wall pipeline.

[0012] Preferably, the abnormal point set is used as the temperature influence range of the cooling wall pipeline in the local area corresponding to the temperature measurement point, including:

[0013] Traverse the abnormal points in the other preset directions of the target area, select the abnormal points farthest from the target area in each direction, build an abnormal point set and use it as the temperature influence range.

[0014] Preferably, the gradient descent direction satisfies the following polynomial:

[0015] ,

[0016] ,

[0017] ,

[0018] In the formula, Represents the gradient direction judgment value, Indicates the pixel value of the temperature measurement point as the center pixel. Indicates that the temperature measurement point is a set of gray values ​​on one side of the central pixel in the preset direction. represents the gradient continuity judgment value, Indicates that the temperature measurement point is the gray value set on one side of the central pixel in the preset direction. pixel values, Indicates that the temperature measurement point is the gray value set on one side of the central pixel in the preset direction. pixel values, Indicates that the temperature measurement point is the gradient descent direction judgment value on one side of the central pixel in the preset direction. represents the maximum value function, represents the mean function.

[0019] The effect is that by identifying the direction of gradient descent, more accurate temperature compensation can be performed on abnormal equipment, thereby adjusting the temperature of the cooling wall pipeline surrounding the abnormal equipment so that the abnormal equipment can maintain a normal operating temperature after being affected by the surrounding temperature.

[0020] Preferably, judging the working state of the temperature control unit equipment corresponding to the cooling wall pipeline includes:

[0021] Traversing and calculating the judgment value of the gradient descent direction of the temperature measurement point as the central pixel point in the preset direction, and multiplying them to obtain the gradient descent judgment value;

[0022] In response to the gradient descent judgment value being equal to a preset threshold, the cooling wall pipeline is in an abnormal state.

[0023] The effect is that the directionality of the gradient reveals the changing trend of the temperature distribution, that is, whether the gradient points in the direction of rising or falling temperature, so as to realize temperature anomaly detection of the cooling wall pipeline and help to quickly locate the temperature anomaly area.

[0024] Preferably, judging whether to compensate for the temperature of the abnormal cooling wall pipeline according to the temperature evaluation coefficient includes:

[0025] In response to the temperature evaluation coefficient of the abnormal cooling wall pipeline being greater than or equal to the abnormal threshold, temperature compensation is performed on the abnormal cooling wall pipeline. Otherwise, temperature compensation is not required for the abnormal cooling wall pipeline.

[0026] Preferably, temperature compensation is performed on the abnormal cooling wall pipeline, including:

[0027] Calculate the product of the preset fixed temperature and the influence coefficient of the abnormal cooling wall pipeline, which is the actual adjustment temperature of the cooling wall pipeline;

[0028] Temperature compensation is performed on peripheral equipment of the abnormal cooling wall pipeline based on the actual adjusted temperature.

[0029] The effect is: by using the temperature compensation method for abnormal equipment, even if the cooling wall pipeline has an abnormality, the low-temperature operation state of the six sides of the storage can be maintained for a short time, ensuring that the temperature control of the entire storage environment meets the requirements, and at the same time, timely maintenance is carried out on the abnormal cooling wall pipeline.

[0030] In a second aspect, a six-sided active temperature control system for a warehouse includes: a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, any one of the six-sided active temperature control methods for a warehouse is implemented.

[0031] The present invention has the following effects:

[0032] 1. The present invention realizes accurate monitoring of the working status of the cooling wall pipeline through infrared image preprocessing, gradient abnormal point analysis, temperature influence range determination and gradient descent direction judgment. This method can quickly identify whether the equipment is in a normal or abnormal state, and perform targeted temperature compensation, thereby ensuring the temperature stability of the storage environment and guaranteeing the quality and safety of the stored items.

[0033] 2. The present invention realizes accurate temperature compensation for abnormal cooling wall pipelines by calculating the temperature evaluation coefficient and the influence coefficient. This compensation strategy not only ensures the temperature uniformity of the storage environment, but also avoids the risk of grain mildew caused by abnormal local temperature in the warehouse, and promptly and effectively responds to the abnormal problems of cooling wall pipelines, realizing active temperature control of the six sides of the warehouse. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood. In the accompanying drawings, several embodiments of the present invention are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0035] Figure 1 It is a method flow chart of steps S1 to S4 in a method for active temperature control of six sides of a warehouse according to an embodiment of the present invention.

[0036] Figure 2 It is a schematic diagram of the local distribution of cooling wall pipelines in a six-side active temperature control method for a warehouse according to an embodiment of the present invention.

[0037] Figure 3 It is a schematic diagram of the distribution of temperature measurement points at the top and bottom of a warehouse in a method for active temperature control on six sides of a warehouse according to an embodiment of the present invention.

[0038] Figure 4 It is a schematic diagram of the distribution of temperature measuring points on four sides around a warehouse in a method for active temperature control on six sides of a warehouse according to an embodiment of the present invention.

[0039] Figure 5 It is a schematic diagram of the temperature gradient of the cooling wall pipeline in a local area of ​​a six-side active temperature control method for a warehouse according to an embodiment of the present invention. DETAILED DESCRIPTION

[0040] 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 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0041] The specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0042] Reference Figure 1 A method for active temperature control of six sides of a warehouse includes steps S1 to S4, which are specifically as follows:

[0043] S1: Obtain the cooling wall pipeline location information and temperature measurement point distribution location information of the temperature control unit equipment on the six sides of the warehouse, obtain the infrared image of the six sides of the warehouse according to the temperature measurement point distribution location information, and pre-process the infrared image to obtain a grayscale image marked with the cooling wall pipeline and temperature measurement point location information.

[0044] For example, refer to Figure 2 The area in the figure is a schematic diagram of the arrangement of cooling wall pipelines in a corner of the warehouse. Multiple cooling wall pipelines are set on the six sides of the warehouse, and the inner wall of the warehouse is divided into multiple areas. A cooling wall pipeline is set in each area. For example, the cooling wall pipelines are arranged in a serpentine shape, and temperature measuring points are set on the six sides of the warehouse, such as Figure 3 As shown, the red circles are the distribution of top and bottom temperature measurement points. Figure 4 As shown in the figure, the black circles are the distribution of temperature measurement points on the four sides of the warehouse. The specific locations of all temperature measurement points in the warehouse are determined. The temperature of the local areas on the six sides of the warehouse is detected through the temperature measurement points to obtain the temperature measurement infrared image of the corresponding surface. When the temperature measurement point in a certain local area detects an abnormality, the water temperature of its cooling pipe is adjusted through the temperature control unit equipment to achieve the appropriate temperature. Use an infrared thermal imager to scan the six sides of the warehouse (top, bottom, and four walls), capture the infrared image of each side, grayscale the infrared image, and obtain the cooling wall pipeline location information of the corresponding temperature control unit equipment by analyzing the grayscale image.

[0045] It should be noted that in infrared images, the temperature distribution of the cooling wall pipeline under normal working conditions usually shows a certain regularity. Abnormalities or performance degradation often lead to temperature anomalies in local areas. The grayscale gradient can be directly represented by the grayscale value of the pixel in the grayscale image, that is, the temperature change. In areas where the temperature changes uniformly, the gradient value is relatively stable; while in areas where the temperature changes suddenly or abnormally, the gradient value will change significantly. By calculating the grayscale gradient of each pixel and comparing it with the average gradient, the degree of deviation of each pixel from the overall temperature distribution can be quantified. Therefore, the abnormal points of the pixel gradient are analyzed in the following steps.

[0046] S2: Obtain abnormal points of the pixel gradient in the grayscale image, construct an abnormal point set, and use the abnormal point set as the temperature influence range of the cooling wall pipeline in the local area corresponding to the temperature measurement point. Based on the temperature influence range, determine the gradient descent direction, and judge the working status of the temperature control unit equipment corresponding to the cooling wall pipeline, where the working status is normal or abnormal.

[0047] Any cooling wall pipeline is selected as the target area. The temperature of the target area gradually changes with the length of the pipeline to form a temperature gradient. With the target area as the center, the grayscale gradient values ​​in the preset direction of the target area are selected to form a grayscale value sequence.

[0048] For example, refer to Figure 5 In this embodiment, the preset directions are: 0 degrees, 45 degrees, 90 degrees and 135 degrees in both positive and negative directions. Based on the infrared image, the temperature change in the preset direction can be analyzed according to the local target area, and the temperature measurement point is the point for detecting the temperature of the water inside the pipe.

[0049] The ratio of the grayscale gradient of each pixel in the corresponding grayscale value sequence is calculated and normalized to obtain the abnormal index of each pixel. When the abnormal index is greater than or equal to the abnormal threshold, the pixel corresponding to the abnormal index is an abnormal point.

[0050] Specifically, the anomaly index satisfies the following relationship:

[0051] ,

[0052] in, Represents the gray value sequence The abnormal index of the gray value of each pixel, Indicates The gray gradient value of a pixel, Indicates A sequence of pixel gray values, Represents the total number of gray value sequences.

[0053] Exemplarily, the gray gradient value of a pixel is calculated as follows: The gray value of the pixel is The ratio of the grayscale values ​​of pixels. The larger the ratio, the higher the grayscale value. The greater the temperature change on the gray value of each pixel, the greater the abnormal index. When Pixels are abnormal points, among which, , which can be adjusted according to actual conditions.

[0054] It is expressed as the overall grayscale gradient of the grayscale value gradient in the target direction. It is expressed as the relationship between the grayscale gradient and the whole. The closer the ratio is to 1, the more the temperature change of the pixel is consistent with the surrounding area, and there is no drastic temperature fluctuation or mutation.

[0055] Traverse the abnormal points in the other preset directions of the target area, select the abnormal points farthest from the target area in each direction, build an abnormal point set and use it as the temperature influence range.

[0056] Based on the temperature influence range, the gradient descent direction is determined to judge the working state of the cooling wall pipeline. Specifically, the gradient descent direction satisfies the following polynomial:

[0057] ,

[0058] ,

[0059] ,

[0060] In the formula, Represents the gradient direction judgment value, Indicates the pixel value of the temperature measurement point as the center pixel. Indicates that the temperature measurement point is a set of gray values ​​on one side of the central pixel in the preset direction. represents the gradient continuity judgment value, Indicates that the temperature measurement point is the gray value set on one side of the central pixel in the preset direction. pixel values, Indicates that the temperature measurement point is the gray value set on one side of the central pixel in the preset direction. pixel values, Indicates that the temperature measurement point is the gradient descent direction judgment value on one side of the central pixel in the preset direction. represents the maximum value function, represents the mean function.

[0061] Exemplarily, the temperature measurement point is located at the center of each target area, that is, the central pixel point. Indicates that the gray value of the central pixel is higher than the maximum value of the surrounding pixels. It indicates that the gradient direction is inward, that is, it increases from the periphery to the center. Indicates that the gray value of the central pixel is not higher than the maximum value of the surrounding pixels. It indicates that the gradient direction is outward, that is, it increases from the center to the periphery.

[0062] , that is, the gray value is decreasing, then This indicates that there is a gradient descent. , that is, the gray value is increasing, then This indicates that there is a gradient rise. show and All are 1, that is, the gray value of the central pixel is higher than the maximum value of the surrounding pixels, and there is a trend of decreasing gray value, which may indicate that the temperature gradient of the cooling wall pipeline in this direction is decreasing; This indicates that at least one of the conditions does not satisfy the requirements of gradient descent.

[0063] The temperature measurement point is traversed and calculated as the judgment value of the gradient descent direction in the preset direction with the central pixel point, and the judgment value of the gradient descent is obtained by multiplication;

[0064] Specifically, the judgment value satisfies the following relationship:

[0065] ,

[0066] In the formula, represents the gradient descent judgment value, Indicates Gradient descent judgment value in each direction;

[0067] Exemplarily, the preset directions are: gradient descent judgment values ​​in the positive and negative directions of 0 degrees, 45 degrees, 90 degrees and 135 degrees.

[0068] In response to the gradient descent judgment value being equal to the preset threshold, the cooling wall pipeline is in an abnormal state.

[0069] Exemplarily, the preset threshold .

[0070] S3: Obtain the temperature influence range of the abnormal cooling wall pipeline, calculate the ratio of the number of gray values ​​in a preset direction in the abnormal point set to the number of all abnormal points in the abnormal point set, and use the ratio as the influence coefficient.

[0071] Exemplarily, the influence of the surrounding cooling wall pipelines on the temperature of the abnormal cooling wall pipeline is calculated. If the influence is more serious, the number of grayscale values ​​of the abnormal point set in this direction is smaller, and the first gradient abnormal point is closer to the center of the corresponding temperature measurement point of the abnormal cooling wall pipeline.

[0072] S4: The ratio of the sum of the largest abnormal point and the smallest abnormal point in the abnormal point set to the mean of twice the abnormal point set is calculated as the temperature evaluation coefficient. According to the temperature evaluation coefficient, it is determined whether to perform temperature compensation on the abnormal cooling wall pipeline. The influence coefficient is used as the adjustment parameter of the temperature compensation to actively control the temperature of the six sides of the storage.

[0073] Specifically, the temperature evaluation coefficient satisfies the following relationship:

[0074] ,

[0075] In the formula, represents the temperature evaluation coefficient, represents the maximum value in the set of outliers, represents the minimum value in the set of outliers, Represents the mean of the outlier set.

[0076] Exemplarily, the temperature of the equipment around the abnormal cooling wall pipeline is adjusted according to the influence coefficient, thereby supplementing the temperature of the abnormal cooling wall pipeline to achieve the normal temperature of the normal cooling wall pipeline. Under the influence of the influence coefficient, while ensuring that the temperature is reduced, the temperature of the normal cooling wall pipeline is not higher than the preset threshold value of the set temperature reduction, thereby creating a suitable storage environment for food in the local temperature abnormality area.

[0077] In response to the temperature evaluation coefficient of the abnormal cooling wall pipeline being greater than or equal to the abnormal threshold, temperature compensation is performed on the abnormal cooling wall pipeline. Otherwise, temperature compensation is not required for the abnormal cooling wall pipeline.

[0078] Exemplarily, the anomaly threshold is 0.8.

[0079] Calculate the product of the preset fixed temperature and the influence coefficient of the abnormal cooling wall pipeline, which is the actual adjustment temperature of the cooling wall pipeline;

[0080] Temperature compensation is performed on the equipment around the abnormal cooling wall pipeline based on the actual adjustment temperature.

[0081] At this point, the method of the present invention ends here.

[0082] The present invention also provides a six-sided active temperature control system for a warehouse. The system includes a processor and a memory, the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a six-sided active temperature control method for a warehouse according to the first aspect of the present invention is implemented.

[0083] The system also includes other components familiar to those skilled in the art, such as a communication bus and a communication interface. The configuration and functions of these components are known in the art and will not be described in detail here.

[0084] In the present invention, the aforementioned memory may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus or device. For example, a computer-readable storage medium may be any appropriate magnetic storage medium or magneto-optical storage medium, such as a resistive random access memory RRAM (Resistive Random Access Memory), a dynamic random access memory DRAM (Dynamic Random Access Memory), a static random access memory SRAM (Static Random-Access Memory), an enhanced dynamic random access memory EDRAM (Enhanced Dynamic Random Access Memory), a high-bandwidth memory HBM (High-Bandwidth Memory), a hybrid memory cube HMC (Hybrid Memory Cube), etc., or any other medium that can be used to store the required information and can be accessed by an application, a module, or both. Any such computer storage medium may be part of a device or accessible or connectable to a device. Any application or module described in the present invention may be implemented using computer-readable / executable instructions that may be stored or otherwise maintained by such a computer-readable medium.

[0085] In the description of this specification, "plurality" or "several" means at least two, such as two, three or more, etc., unless otherwise clearly defined.

[0086] Although this specification has shown and described a number of embodiments of the present invention, it will be apparent to those skilled in the art that such embodiments are provided by way of example only. Those skilled in the art will conceive of many modifications, changes and alternatives without departing from the ideas and spirit of the present invention. It should be understood that in the practice of the present invention, various alternatives to the embodiments of the present invention described herein may be employed.

Claims

1. A method for active temperature control on six sides of a warehouse. It is characterized in that include: The cooling wall pipeline location information and the temperature measuring point distribution location information of the temperature control unit equipment on the six sides of the storage are obtained, and the infrared images of the six sides of the storage are obtained according to the temperature measuring point distribution location information, and the infrared images are preprocessed to obtain grayscale images marked with the cooling wall pipeline and temperature measuring point location information; Obtain the abnormal points of the pixel gradient in the grayscale image, construct an abnormal point set, use the abnormal point set as the temperature influence range of the cooling wall pipeline in the local area corresponding to the temperature measurement point, and determine the gradient descent direction based on the temperature influence range , , , , where Represents the gradient direction judgment value, Indicates the pixel value of the temperature measurement point as the center pixel. Indicates that the temperature measurement point is a set of gray values ​​on one side of the central pixel in the preset direction. represents the gradient continuity judgment value, Indicates that the temperature measurement point is the gray value set on one side of the central pixel in the preset direction. pixel values, Indicates that the temperature measurement point is the gray value set on one side of the central pixel in the preset direction. pixel values, Indicates that the temperature measurement point is the gradient descent direction judgment value on one side of the central pixel in the preset direction. represents the maximum value function, represents a mean function, and determines the working state of the pipeline of the cooling wall pipeline corresponding to the temperature control unit equipment, wherein the working state is normal or abnormal; Obtain the temperature influence range of the abnormal cooling wall pipeline, calculate the ratio of the number of gray values ​​in a preset direction in the abnormal point set to the number of all abnormal points in the abnormal point set, and use the ratio as the influence coefficient; The ratio of the sum of the largest abnormal point and the smallest abnormal point in the abnormal point set to the mean of twice the abnormal point set is calculated as the temperature evaluation coefficient. According to the temperature evaluation coefficient, it is determined whether to perform temperature compensation on the abnormal cooling wall pipeline. The influence coefficient is used as the adjustment parameter of the temperature compensation to actively control the temperature of the six sides of the storage.

2. A six-side active temperature control method for storage according to claim 1, It is characterized in that Obtaining abnormal points of pixel gradients in the grayscale image, including: Select any cooling wall pipeline as the target area, the temperature of the target area gradually changes with the length of the pipeline to form a temperature gradient, and take the target area as the center, select the grayscale gradient value of the preset direction of the target area to form a grayscale value sequence; The ratio of the grayscale gradient of each pixel in the corresponding grayscale value sequence is calculated and normalized to obtain the abnormal index of each pixel. When the abnormal index is greater than or equal to the abnormal threshold, the pixel corresponding to the abnormal index is an abnormal point.

3. A six-side active temperature control method for storage according to claim 1, It is characterized in that The temperature influence range of the cooling wall pipeline in the local area corresponding to the temperature measurement point is as follows: Traverse the abnormal points in the other preset directions of the target area, select the abnormal points farthest from the target area in each direction, build an abnormal point set and use it as the temperature influence range.

4. A six-side active temperature control method for storage according to claim 1, It is characterized in that Determine the working status of the cooling wall pipeline corresponding to the temperature control unit equipment, including: Traversing and calculating the judgment value of the gradient descent direction of the temperature measurement point as the central pixel point in the preset direction, and multiplying them to obtain the gradient descent judgment value; In response to the gradient descent judgment value being equal to a preset threshold, the cooling wall pipeline is in an abnormal state.

5. A six-side active temperature control method for storage according to claim 1, It is characterized in that Judging whether to perform temperature compensation on the abnormal cooling wall pipeline according to the temperature evaluation coefficient includes: In response to the temperature evaluation coefficient of the abnormal cooling wall pipeline being greater than or equal to the abnormal threshold, temperature compensation is performed on the abnormal cooling wall pipeline. Otherwise, temperature compensation is not required for the abnormal cooling wall pipeline.

6. A six-side active temperature control method for storage according to claim 5, It is characterized in that Temperature compensation for abnormal cooling wall piping, including: Calculate the product of the preset fixed temperature and the influence coefficient of the abnormal cooling wall pipeline, which is the actual adjustment temperature of the cooling wall pipeline; Temperature compensation is performed on peripheral equipment of the abnormal cooling wall pipeline based on the actual adjusted temperature.

7. A six-sided active temperature control system for storage, It is characterized in that include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, a method for active temperature control of six sides of a warehouse according to any one of claims 1-6 is implemented.

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