A method for controlling temperature and humidity in intelligent storage of fresh cold chain

Abstract

The present invention discloses a method for intelligent storage temperature and humidity control of fresh cold chain products, comprising: regularly acquiring temperature / humidity data of each storage area in a fresh warehouse; verifying the temperature / humidity data in the corresponding storage area according to the type of fresh products stored in each storage area, the temperature / humidity data of each storage area and the storage environment conditions of the corresponding type of fresh products, and then adjusting and controlling the number of refrigeration air outlets in each storage area and the air volume of each air outlet according to the verification result, as well as adjusting and controlling the working state of the humidity regulating device in each storage area; and making early warning judgments according to the position of the corresponding storage area, the type of fresh products stored, and the temperature / humidity data of the storage area collected within a preset time, so as to generate early warning notifications in time, thereby solving the problem in the prior art that the fresh warehouse has a wide variety of storage types and the temperature and humidity control is not precise enough.

Description

Technical Field

[0001] The present invention relates to the field of temperature control, and in particular to a method for controlling temperature and humidity in intelligent warehousing of fresh cold chain. Background Art

[0002] Since fresh products need to be stored within a certain temperature and humidity range, current fresh food warehouses have large storage space and a wide variety of fresh products. The current temperature and humidity control of fresh food warehouses in the market mainly involves setting up temperature and humidity control equipment in the fresh food warehouses, and monitoring the temperature and humidity of the fresh food warehouses by setting a larger and more reasonable temperature and humidity range, so as to timely reach temperature and humidity warnings for the fresh food warehouses. This mixed storage method leads to a wide variety of fresh products in the fresh food warehouses, a large temperature control range, and insufficient temperature and humidity control, which shortens the shelf life of certain specific types of fresh products and is not conducive to the storage of fresh products. Summary of the invention

[0003] In order to overcome the deficiencies of the prior art, the object of the present invention is to provide a method for intelligent storage temperature and humidity control of fresh cold chain, which can realize intelligent and refined control of temperature and humidity in a fresh warehouse.

[0004] The purpose of the present invention is achieved by the following technical solutions:

[0005] A method for controlling temperature and humidity in a fresh cold chain intelligent warehouse, the method comprising:

[0006] Data acquisition step: regularly acquiring monitoring data of each storage area in the fresh food warehouse; the fresh food warehouse includes multiple storage areas, each storage area stores a corresponding type of fresh food; the monitoring data includes temperature data and humidity data;

[0007] Temperature control step: verify the temperature data in the corresponding storage area according to the type of fresh products stored in each storage area, the temperature data of each storage area and the storage environment conditions of the corresponding type of fresh products, and then adjust and control the number of refrigeration outlets in each storage area and the air volume of each outlet according to the verification results;

[0008] Humidity control step: verifying the humidity data in the corresponding storage area according to the type of fresh products stored in each storage area, the humidity data of each storage area and the storage environment conditions of the corresponding type of fresh products, and then adjusting and controlling the working state of the humidity control equipment in each storage area according to the verification result;

[0009] Early warning step: When the monitoring data in each storage area is continuously in an abnormal state within a preset time, an early warning notification is generated based on the location of the corresponding storage area, the type of fresh products stored, and the temperature data and humidity data of the storage area collected within the preset time, and the early warning notification is sent to the corresponding maintenance personnel so that the maintenance personnel can arrive at the site in time for maintenance according to the early warning notification.

[0010] Furthermore, the data acquisition step specifically includes: regularly acquiring monitoring data of multiple monitoring points in the corresponding storage area through a temperature and humidity sensor as a master device in each storage area; wherein each monitoring point is provided with a temperature and humidity sensor, and the temperature and humidity sensors of multiple monitoring points are interconnected to form an ad hoc network, in which one temperature and humidity sensor serves as a master device and the remaining temperature and humidity sensors serve as slave devices; the temperature and humidity sensor as a master device is connected to the network communication of the background service control center, and is used to upload the monitoring data acquired by itself and the monitoring data of the temperature and humidity sensor as a slave device to the background service control center.

[0011] Furthermore, in the alarm step, the monitoring data in each storage area continues to be in an abnormal state within a preset time, specifically including: within the preset time, the temperature data of a monitoring point in each storage area continues to exceed / below the corresponding storage temperature threshold, and / or the humidity data of multiple monitoring points continues to be lower than / exceed the corresponding storage humidity threshold.

[0012] Furthermore, the temperature control step specifically includes:

[0013] Matching step: obtaining a storage temperature threshold of the corresponding storage area according to the type of fresh products stored in each storage area;

[0014] Verification and control steps: adjust and control the number of cooling outlets in the corresponding storage area and the air volume of each outlet according to the temperature data of each storage area and the storage temperature data of the corresponding storage area, so that the temperature data in the storage area meets the storage temperature threshold of the corresponding storage area.

[0015] Furthermore, the verification and control step specifically includes: obtaining temperature data of each monitoring point in the corresponding storage area according to the temperature data of each storage area;

[0016] Comparing the temperature data of each monitoring point with the storage temperature threshold of the corresponding storage area to determine whether the temperature data of each monitoring point meets the storage temperature threshold;

[0017] When the temperature data of a monitoring point is greater than the storage temperature threshold, and the number of monitoring points exceeds half of the total number of corresponding monitoring points, the corresponding refrigerator outlet is opened according to the preset rules and the air volume of each refrigerator outlet is increased step by step;

[0018] When the temperature data of the storage monitoring point is greater than the storage temperature threshold, and the number of monitoring points does not exceed half of the total number of corresponding monitoring points, the air volume of the air outlet of the refrigerator in working state is increased step by step according to the preset rules;

[0019] When the temperature data of a monitoring point is lower than the storage temperature threshold, and the number of monitoring points exceeds half of the total number of corresponding monitoring points, the corresponding refrigerator outlet is closed according to the preset rules and the air volume of each refrigerator outlet is gradually reduced;

[0020] When the temperature data of a monitoring point is lower than the storage temperature threshold, and the number of monitoring points does not exceed half of the total number of corresponding monitoring points, the air volume of each refrigerator outlet is gradually reduced according to a preset rule.

[0021] Furthermore, the humidity control step specifically includes: when the average value of humidity data of multiple monitoring points in each storage area is less than the storage humidity threshold of the corresponding type of fresh products, turning on the humidity adjustment device to increase the humidity in the storage area;

[0022] When the average value of humidity data of multiple monitoring points in each storage area is greater than the storage humidity threshold of the corresponding type of fresh products, the dehumidification equipment is turned on to perform dehumidification processing on the corresponding storage area.

[0023] Furthermore, the method further comprises: a statistical step: by statistically analyzing the incoming and outgoing fresh product quantities of each storage area in each month in history, the maximum inventory of fresh products in each storage area in history is obtained, so as to estimate the maximum inventory of fresh products in the next month, and then obtain the storage capacity of each storage area, and then adjust the position of the access door of each storage area according to the maximum storage capacity of each storage area, so as to control the movement of the access door of each storage area, so as to adjust the maximum storage capacity of each storage area;

[0024] The fresh food warehouse includes storage area groups symmetrically arranged at intervals, and temporary storage areas arranged between the storage area groups; each storage area group includes a plurality of storage areas arranged in sequence, partitions are arranged between adjacent storage areas, and each storage area is also provided with an entry and exit door, and the entry and exit door faces the temporary storage area; a pulley is provided between the top and bottom of the entry and exit door of each storage area to enable the entry and exit door to slide, thereby changing the storage capacity of each storage area.

[0025] Furthermore, it also includes: a warehousing step: when the temperature of the outer packaging of the newly-stored fresh products does not meet the requirements, it is placed in a temporary storage area for cooling and then inspected, and the storage area of ​​the fresh products is matched according to the type of fresh products, and a storage location is allocated for the new fresh products, and the maximum expiration date of the newly-stored fresh products is recorded, and the fresh products are stored in the corresponding storage area.

[0026] Furthermore, the data acquisition step also includes: a legitimacy verification step: performing legitimacy verification on the monitoring data of each monitoring point in each storage area, and when the monitoring data of a monitoring point is illegal, obtaining the location of the monitoring point to generate an early warning notification to notify relevant maintenance personnel to arrive at the site to repair the temperature and humidity sensors of the monitoring point.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] The present invention sets up multiple storage areas for the fresh food warehouse, monitors the monitoring data of each storage area separately, and then appropriately adjusts the start-up and air volume of the air outlet in each storage area according to the monitoring data, and controls the start-up and shutdown of the humidity regulating device or the dehumidification device, thereby realizing fine control of the temperature and humidity in the fresh food warehouse, solving the problems of multiple storage types and insufficient fine control of temperature and humidity in the fresh food warehouse in the prior art; at the same time, the fresh food warehouse is warned according to the temperature and humidity in the fresh food warehouse, and the relevant staff is reminded in time to carry out maintenance or inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 A flow chart of a method for controlling temperature and humidity in a fresh cold chain intelligent storage provided by the present invention;

[0030] Figure 2 This is a schematic diagram of the plan design of a fresh food warehouse provided by the present invention. DETAILED DESCRIPTION

[0031] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of no conflict, the various embodiments or technical features described below can be arbitrarily combined to form a new embodiment.

[0032] like Figure 1 As shown, the present invention provides a method for controlling temperature and humidity in a fresh cold chain intelligent storage, comprising:

[0033] Step S1: regularly obtain monitoring data of each storage area in the fresh food warehouse, the monitoring data including temperature data and humidity data.

[0034] Specifically, the fresh food warehouse in this embodiment includes a plurality of storage areas, and a kind of fresh food product is stored in each storage area. Specifically, the fresh food warehouse in this embodiment is a fresh food warehouse for fruits and vegetables, and the fresh food warehouse is divided into a plurality of storage areas, and a kind of fresh food product is stored in each storage area. By setting the corresponding fresh-keeping temperature according to the type of fresh food product stored in the storage area to adapt to the corresponding fresh food product, the fresh-keeping temperature of the fresh food product is ensured to be adapted, the shelf life of the fresh food product is extended, and the crossover of different fresh food products is avoided to cause the product to deteriorate. For example, for apples, since apples release ethylene during the storage process, if they are stored at the same time as other fruits, it will cause other fruits to accelerate oxidation and affect their shelf life. Therefore, this embodiment separates a large fresh food warehouse into a plurality of small space storage areas to store different types of fresh food products separately, ensure the temperature adaptation of fresh food products, and avoid mutual interference between fresh food products, which can significantly improve the fresh-keeping effect of fresh food products, extend the shelf life of goods, and reduce losses.

[0035] By monitoring each storage area separately, the temperature and humidity data of each storage area can be adjusted to adapt to different types of fresh products.

[0036] In addition, in this embodiment, multiple monitoring points are set in the storage area to monitor the monitoring data of the storage area. Specifically, a temperature and humidity sensor is installed at each monitoring point to monitor the temperature and humidity of the monitoring point. At the same time, the temperature and humidity sensors of multiple monitoring points in each storage area are interconnected to form an ad hoc network, and one of the temperature and humidity sensors serves as a master device and the remaining temperature and humidity sensors serve as slave devices. Among them, the temperature and humidity sensor as the master device is connected to the network communication of the background service control center, and is used to upload the monitoring data obtained by itself and the monitoring data of the temperature and humidity sensor as a slave device to the background service control center.

[0037] That is, this embodiment forms a self-organizing network with multiple temperature and humidity sensors in each storage area, and uses one of the main devices to upload the monitoring data of multiple monitoring points to the background service control center, so as to avoid each temperature and humidity sensor directly communicating with the background service control center, resulting in too many devices and waste of communication resources. The monitoring data is classified by storage area, and then the monitoring data of a storage area is uploaded uniformly. After the data is collected through the local network, it is uniformly uploaded to the remote background service control center, saving data transmission resources and ensuring stable data transmission.

[0038] In addition, multiple temperature and humidity sensors in each storage area can be interconnected through a local network or through a physical connection, and can be specifically set according to the specific structure of the warehouse. Furthermore, the setting of monitoring points for each storage area can also be set according to actual needs, such as setting monitoring points on each pillar of the shelf, or on the partitions, ceilings and other locations of the storage area, so as to achieve uniform monitoring of the temperature and humidity of the storage area, which can ensure the monitoring of the temperature and humidity of areas with fresh products, as well as the monitoring of the temperature and humidity of idle areas, to achieve comprehensive monitoring of the temperature and humidity of the storage area. The installation method of the temperature and humidity sensor can be selected according to actual needs, and its installation method is a technology well known to those skilled in the art, and no improvements are made in this field.

[0039] In addition, this embodiment also periodically detects the communication network of the temperature and humidity sensor serving as the master device. Once the communication network of the temperature and humidity sensor serving as the master device is abnormal or the temperature and humidity sensor serving as the master device is damaged, the background service control center will automatically start any one of the temperature and humidity sensors serving as slave devices and change it to a new master device to enable uploading of monitoring data. By setting up such a backup master device, the stability of data transmission can be guaranteed in a timely manner, avoiding the problem of being unable to collect monitoring data due to equipment damage.

[0040] The present invention adopts the Internet of Things technology to deploy multiple temperature and humidity sensors in the warehouse to build a temperature and humidity sensor network, thereby monitoring the environmental parameters of different areas of the warehouse. At the same time, combined with the artificial intelligence algorithm, it can automatically adjust the operating status of the refrigeration equipment and the humidifier according to the storage requirements of different fresh product categories, thereby achieving precise temperature and humidity control, significantly improving the preservation effect of fresh products, extending the shelf life of goods, and reducing the loss of fresh products.

[0041] Step S2: verify and judge the temperature data in the corresponding storage area according to the type of fresh products stored in each storage area, the temperature data of each storage area, and the storage environment conditions of the corresponding type of fresh products, and then adjust and control the number of refrigerator air outlets in each storage area and the air volume of each refrigerator air outlet according to the verification and judgment results.

[0042] Specifically, this embodiment monitors the temperature data of each storage area, and then determines whether it meets the requirements based on the monitored temperature data, so as to control the corresponding refrigerator to achieve temperature regulation.

[0043] Different storage areas store different types of fresh products. Therefore, after obtaining the temperature data of each storage area, the storage environment conditions of the storage area are obtained according to the type of fresh products stored in the storage area. The storage environment conditions include the storage temperature threshold and storage humidity threshold of the storage area. By comparing the acquired monitoring data with the storage environment conditions, the air outlet and air volume of the refrigerator can be adjusted and controlled, and the temperature data can be regulated.

[0044] Specifically, step S2 also includes: first, obtaining a storage temperature threshold of the corresponding storage area according to the type of fresh products stored in each storage area; then, adjusting and controlling the number of refrigeration outlets in the corresponding storage area and the air volume of each outlet according to the temperature data of each storage area and the storage temperature data of the corresponding storage area, so that the temperature data in the storage area meets the storage temperature threshold of the corresponding storage area.

[0045] Specifically, since a plurality of monitoring points are arranged in each storage area, and each monitoring point has a temperature and humidity sensor, the monitoring data of each storage area includes the monitoring data of the plurality of monitoring points, that is, includes the temperature data and humidity data of the plurality of monitoring points.

[0046] The temperature data of each monitoring point is compared with the storage temperature threshold of the corresponding storage area to determine whether the temperature data of each monitoring point meets the storage temperature threshold. According to the result and the preset rules in the system, the air outlet of the refrigerator is controlled and the air volume of the air outlet of the refrigerator is controlled.

[0047] Specifically, when there is a monitoring point whose temperature data is greater than the storage temperature threshold and the number of monitoring points exceeds half of the total number of corresponding monitoring points, the corresponding refrigerator air outlet is opened according to a preset rule and the air volume of each refrigerator air outlet is increased step by step.

[0048] When the temperature data of the storage monitoring point is greater than the storage temperature threshold and the number of monitoring points does not exceed half of the total number of corresponding monitoring points, the air volume of the air outlet of the refrigerator in working state is increased step by step according to preset rules.

[0049] That is, this embodiment sets the trigger conditions of the temperature data of the monitoring points in the system, and the working mode of the refrigerator corresponding to each trigger condition, so that when the corresponding trigger condition is triggered, the corresponding working mode is adopted to control the operation of the refrigerator.

[0050] Specifically, for each storage area, a plurality of refrigerator air outlets are generally provided, and the temperature in the storage area is adjusted by adjusting the working number of refrigerator air outlets and the air volume of each refrigerator air outlet to ensure that the temperature data in the storage area is always within the temperature range corresponding to the fresh products, thereby realizing the control of the storage temperature of the fresh products. This embodiment not only controls the working number of refrigerator air outlets, but also controls the air volume of refrigerator air outlets, thereby realizing more precise control. In addition, the fresh food warehouse in this embodiment also adopts a unified refrigerator equipment, and realizes the control of the air volume of the storage area by building a plurality of refrigerator air outlets in each storage area, thereby realizing the regulation of the temperature.

[0051] At the same time, when there is no fresh product in the corresponding storage area, the corresponding refrigerator outlet can be closed to avoid waste of resources. On the contrary, for example, for existing fresh warehouses, due to the large space of fresh warehouses, even if the inventory of fresh products is small, the refrigerator still needs to be fully turned on, resulting in a waste of resources.

[0052] More specifically, in this embodiment, there are multiple monitoring points in each storage area. Under normal circumstances, the temperature data of multiple monitoring points in the storage area are evenly distributed. However, it is also possible that the temperature data of a certain monitoring point may not meet the storage temperature threshold due to storage or other reasons. For example, when the cooling capacity is insufficient, the temperature near the air outlet of the refrigerator will meet the storage temperature threshold, while the temperature of the monitoring point far from the air outlet of the refrigerator will not meet the storage temperature threshold, which will cause uneven temperature distribution. At this time, the temperature can be uniformed by opening multiple refrigerator outlets, or the air volume of each refrigerator outlet can be increased step by step to achieve temperature control. For example, when multiple refrigerator outlets are turned on, if the temperature still does not meet the requirements, the air volume of each refrigerator outlet can be gradually increased until the temperature meets the requirements.

[0053] Similarly, when the temperature data of a monitoring point is greater than the storage temperature threshold and the number of monitoring points does not exceed half of the total number of corresponding monitoring points, in most cases, the uneven temperature distribution is caused by insufficient air flow. The air flow can be accelerated by gradually increasing the air volume of the air outlet of the refrigerator in working state, thereby making the temperature distribution uniform.

[0054] Furthermore, when the temperature data of the storage monitoring point is less than the storage temperature threshold, and the number of monitoring points exceeds half of the total number of corresponding monitoring points, the corresponding refrigerator air outlet is closed according to the preset rules and the air outlet of each refrigerator air outlet is gradually reduced.

[0055] When the temperature data of a monitoring point is lower than the storage temperature threshold, and the number of monitoring points does not exceed half of the total number of corresponding monitoring points, the air volume of each refrigerator outlet is gradually reduced according to a preset rule.

[0056] That is, when the temperature data obtained is too low, in order to prevent fresh products from being frozen, the temperature needs to be raised, and different trigger conditions and different refrigerator working modes can be set according to the number of abnormal monitoring points. That is, when the temperature data of multiple monitoring points is too low, and the number is large, the corresponding refrigerator air outlet can be closed, and the air volume of each refrigerator air outlet can be reduced to increase the temperature. On the contrary, when the temperature data of multiple monitoring points is too low, but the data is small, the temperature can be increased by reducing the air volume of the refrigerator air outlet in the working state.

[0057] The present invention can achieve more precise temperature control by arranging a plurality of refrigerator air outlets in the storage area and adjusting the working number of the refrigerator air outlets and the air volume of the refrigerator air outlets according to different acquired temperature data.

[0058] Furthermore, it also includes step S3, verifying the humidity data in the corresponding storage area according to the type of fresh products stored in each storage area, the humidity data of each storage area and the storage environment conditions of the corresponding type of fresh products, and then adjusting and controlling the working state of the humidity regulating equipment in each storage area according to the verification result.

[0059] Similarly, this embodiment monitors the humidity data of each storage area to obtain the average value of the humidity data of multiple monitoring points in the storage area. When the average value is less than the storage humidity threshold of the corresponding type of fresh products, the humidity adjustment device is turned on to increase the humidity in the storage area. Specifically, for example, the humidity of the storage area is increased by a humidifier. On the contrary, when the average value is greater than the storage humidity threshold of the corresponding type of fresh products, a dehumidification device is required to dehumidify the storage area to reduce the humidity of the storage area.

[0060] More preferably, each storage area of ​​the fresh food warehouse in this embodiment is an adjustable storage area. Specifically, the size of each storage area can be adjusted according to the actual inventory of fresh products. In this way, when the inventory of fresh products is small, the storage space of the storage area is small, the loss of the refrigerator will be smaller, and more resources will be saved; when the inventory of fresh products is large, the storage area is increased to ensure the storage of fresh products.

[0061] That is, the fresh food warehouse includes storage area groups arranged at intervals, and temporary storage areas arranged between the storage area groups. The temporary storage areas are mainly used for temporary storage of fresh food entering the warehouse and temporary storage of fresh food leaving the warehouse. Each storage area group includes a plurality of storage areas arranged in sequence, and partitions are arranged between adjacent storage areas, such as Figure 2 As shown, the left storage area group includes storage area 1, storage area 2, storage area 3, and storage area 4 which are arranged in sequence; and the rear storage area group includes storage area 5, storage area 6, storage area 7, and storage area 8 which are arranged in sequence.

[0062] Each storage area is also provided with an access door, and the access door faces the temporary storage area, and the access door of each storage area is a movable access door, that is, the size of the storage area is adjusted by the movable access door to change the storage capacity of each storage area. Specifically, for example, the four corners of the top and bottom of the access door of each storage area are provided with pulleys, and the ground and ceiling of the storage area are provided with corresponding slideways, so that the access door slides back and forth along the direction toward the temporary storage area or away from the temporary storage area to change the storage capacity of each storage area. In this embodiment, by providing a movable access door, the size of the storage area can be flexibly adjusted according to the inventory of fresh products, the storage capacity of the storage area can be adjusted, and the storage resources can be fully utilized. At the same time, the refrigeration power consumption of the refrigerator can be saved, and the problem of increased power consumption caused by the refrigerator still running at full power due to a small inventory can be avoided. In addition, the specific structure of the sliding of the access door in this application can be set by the engineering personnel according to actual experience, and its specific structure is not limited.

[0063] More specifically, this embodiment also calculates the maximum inventory of fresh products in each storage area in each month in history by counting the incoming and outgoing volumes of fresh products in each storage area in history, so as to estimate the maximum inventory of fresh products in the next month, and then calculate the storage capacity of each storage area, and then adjust the position of the entry and exit door of each storage area according to the maximum storage capacity of each storage area, so as to control the movement of the entry and exit door of each storage area, so as to adjust the maximum storage capacity of each storage area. Of course, when calculating the maximum storage capacity of each storage area, it can also be estimated and calculated according to the incoming order volume and the outgoing order volume of the fresh warehouse, which can be set according to actual needs.

[0064] More preferably, this embodiment also includes: when the temperature of the outer packaging of the newly-stored fresh products does not meet the requirements, it is placed in a temporary storage area for cooling and then inspected, the storage area of ​​the fresh products is matched according to the type of the fresh products, and a storage location is allocated for the new fresh products, and the maximum expiration date of the newly-stored fresh products is recorded and the fresh products are stored in the corresponding storage area. When there are newly-stored fresh products that need to be stored, the temperature of their outer packaging needs to be monitored, so that the fresh products that do not meet the requirements can be cooled in time and stored after passing the inspection, so as to avoid abnormal fresh products entering the warehouse and affecting other normal fresh products.

[0065] Preferably, after acquiring the monitoring data, this embodiment also verifies the legitimacy of the monitoring data to avoid errors in calculation due to the collection of illegal data. The monitoring data of each monitoring point in each storage area is verified for legitimacy, and when the monitoring data of a monitoring point is illegal, the location of the monitoring point is obtained to generate an early warning notification to notify relevant maintenance personnel to arrive at the site to repair the temperature and humidity sensor of the monitoring point. For example, if the acquired temperature data is obviously illegal due to human factors or internal abnormalities in the sensor, it is necessary to generate an early warning notification to provide maintenance personnel with the opportunity to repair the sensor, and delete these data from subsequent calculations to avoid calculation errors due to illegal data, which in turn causes abnormal control of the equipment.

[0066] Furthermore, the present invention also includes: step S4, when the monitoring data in each storage area is continuously in an abnormal state within a preset time, an early warning notification is generated according to the location of the corresponding storage area, the type of fresh products stored, and the temperature data and humidity data of the storage area collected within the preset time, and the early warning notification is sent to the corresponding maintenance personnel so that the maintenance personnel can arrive at the site in time for maintenance according to the early warning notification. That is, the present invention, by setting an early warning function, promptly reminds relevant staff and handles abnormal situations in time to ensure the normal operation of the fresh warehouse. Specifically, when the monitoring data of each storage area continues to be abnormal, an early warning notification is generated to notify relevant maintenance personnel; wherein, the monitoring data of each storage area continues to be abnormal specifically includes: the temperature data of the monitoring point continues to exceed or be lower than the corresponding storage temperature threshold and / or the humidity data of the monitoring point continues to be higher than or lower than the corresponding storage humidity threshold.

[0067] The above-mentioned embodiments are only preferred embodiments of the present invention and cannot be used to limit the scope of protection of the present invention. Any non-substantial changes and substitutions made by technicians in this field on the basis of the present invention shall fall within the scope of protection required by the present invention.

Claims

1. A method for controlling temperature and humidity in intelligent cold chain storage of fresh food, characterized in that: The fresh cold chain intelligent storage temperature and humidity control method comprises: Data acquisition step: regularly acquiring monitoring data of each storage area in the fresh food warehouse; the fresh food warehouse includes multiple storage areas, each storage area stores a corresponding type of fresh food; the monitoring data includes temperature data and humidity data; Temperature control step: verify the temperature data in the corresponding storage area according to the type of fresh products stored in each storage area, the temperature data of each storage area and the storage environment conditions of the corresponding type of fresh products, and then adjust and control the number of refrigeration outlets in each storage area and the air volume of each outlet according to the verification results; Humidity control step: verifying the humidity data in the corresponding storage area according to the type of fresh products stored in each storage area, the humidity data of each storage area and the storage environment conditions of the corresponding type of fresh products, and then adjusting and controlling the working state of the humidity control equipment in each storage area according to the verification result; Early warning step: When the monitoring data in each storage area is continuously in an abnormal state within a preset time, an early warning notification is generated based on the location of the corresponding storage area, the type of fresh products stored, and the temperature data and humidity data of the storage area collected within the preset time, and the early warning notification is sent to the corresponding maintenance personnel so that the maintenance personnel can arrive at the site in time for maintenance according to the early warning notification.

2. The method for controlling temperature and humidity in the intelligent cold chain storage of fresh food according to claim 1, characterized in that: The data acquisition step specifically includes: regularly acquiring monitoring data of multiple monitoring points in the corresponding storage area through a temperature and humidity sensor as a master device in each storage area; wherein each monitoring point is provided with a temperature and humidity sensor, and the temperature and humidity sensors of multiple monitoring points are interconnected to form an ad hoc network, in which one temperature and humidity sensor serves as a master device and the remaining temperature and humidity sensors serve as slave devices; the temperature and humidity sensor as a master device is connected to the network communication of the background service control center, and is used to upload the monitoring data acquired by itself and the monitoring data of the temperature and humidity sensor as a slave device to the background service control center.

3. The method for controlling temperature and humidity of fresh cold chain intelligent storage according to claim 2, characterized in that: In the alarm step, the monitoring data in each storage area continues to be in an abnormal state within the preset time, specifically including: within the preset time, the temperature data of a monitoring point in each storage area continues to exceed / below the corresponding storage temperature threshold, and / or the humidity data of multiple monitoring points continues to be lower than / exceed the corresponding storage humidity threshold.

4. The method for controlling temperature and humidity in intelligent cold chain storage of fresh food according to claim 2, characterized in that: The temperature control step specifically includes: Matching step: obtaining a storage temperature threshold of the corresponding storage area according to the type of fresh products stored in each storage area; Verification and control steps: adjust and control the number of cooling outlets in the corresponding storage area and the air volume of each outlet according to the temperature data of each storage area and the storage temperature data of the corresponding storage area, so that the temperature data in the storage area meets the storage temperature threshold of the corresponding storage area.

5. The method for controlling temperature and humidity in intelligent cold chain storage of fresh food according to claim 4, characterized in that: The verification and control step specifically includes: obtaining temperature data of each monitoring point in the corresponding storage area according to the temperature data of each storage area; Comparing the temperature data of each monitoring point with the storage temperature threshold of the corresponding storage area to determine whether the temperature data of each monitoring point meets the storage temperature threshold; When the temperature data of a monitoring point is greater than the storage temperature threshold, and the number of monitoring points exceeds half of the total number of corresponding monitoring points, the corresponding refrigerator outlet is opened according to the preset rules and the air volume of each refrigerator outlet is increased step by step; When the temperature data of the storage monitoring point is greater than the storage temperature threshold, and the number of monitoring points does not exceed half of the total number of corresponding monitoring points, the air volume of the air outlet of the refrigerator in working state is increased step by step according to the preset rules; When the temperature data of a monitoring point is lower than the storage temperature threshold, and the number of monitoring points exceeds half of the total number of corresponding monitoring points, the corresponding refrigerator outlet is closed according to the preset rules and the air volume of each refrigerator outlet is gradually reduced; When the temperature data of a monitoring point is lower than the storage temperature threshold, and the number of monitoring points does not exceed half of the total number of corresponding monitoring points, the air volume of each refrigerator outlet is gradually reduced according to a preset rule.

6. The method for controlling temperature and humidity in intelligent cold chain storage of fresh food according to claim 1, characterized in that: The humidity control step specifically includes: when the average value of humidity data of multiple monitoring points in each storage area is less than the storage humidity threshold of the corresponding type of fresh products, turning on the humidity adjustment device to increase the humidity in the storage area; When the average value of humidity data of multiple monitoring points in each storage area is greater than the storage humidity threshold of the corresponding type of fresh products, the dehumidification equipment is turned on to perform dehumidification processing on the corresponding storage area.

7. The method for controlling temperature and humidity of fresh cold chain intelligent storage according to claim 1, characterized in that: Also includes: Statistical step: by counting the incoming and outgoing fresh product quantities of each storage area in each month in history, the maximum inventory of fresh products in each storage area in history is obtained, so as to estimate the maximum inventory of fresh products in the next month, and then the storage capacity of each storage area is obtained, and then the position of the access door of each storage area is adjusted according to the maximum storage capacity of each storage area, so as to control the movement of the access door of each storage area, so as to adjust the maximum storage capacity of each storage area; The fresh food warehouse includes storage area groups symmetrically arranged at intervals, and temporary storage areas arranged between the storage area groups; each storage area group includes a plurality of storage areas arranged in sequence, partitions are arranged between adjacent storage areas, and each storage area is also provided with an entry and exit door, and the entry and exit door faces the temporary storage area; a pulley is provided between the top and bottom of the entry and exit door of each storage area to enable the entry and exit door to slide, thereby changing the storage capacity of each storage area.

8. The method for controlling temperature and humidity in intelligent cold chain storage of fresh food according to claim 1, characterized in that: Also includes: Warehousing steps: When the temperature of the outer packaging of the newly-stored fresh products does not meet the requirements, they are placed in a temporary storage area for cooling and then inspected. The storage area of ​​the fresh products is matched according to the type of fresh products and a storage location is allocated for the new fresh products. The maximum expiration date of the newly-stored fresh products is recorded and the fresh products are stored in the corresponding storage area.

9. The method for controlling temperature and humidity in intelligent cold chain storage of fresh food according to claim 1, characterized in that: The data acquisition step also includes: a legitimacy verification step: verifying the legitimacy of the monitoring data of each monitoring point in each storage area, and when the monitoring data of a monitoring point is illegal, obtaining the location of the monitoring point to generate an early warning notification to notify relevant maintenance personnel to arrive at the site to repair the temperature and humidity sensor of the monitoring point.

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