Cold storage temperature control method and system based on Internet of Things, terminal and storage medium

Abstract

The invention relates to the technical field of data analysis, and particularly provides a refrigeration house temperature control method and system based on the Internet of Things, a terminal and a storage medium. Obtaining warehouse-in and warehouse-out records, wherein the warehouse-in and warehouse-out records comprise cargo types, quantities and storage areas; summarizing all cargo types stored in the refrigeration house based on the warehouse-in and warehouse-out records; generating a target temperature based on a corresponding relationship between a preset cargo type and a standard temperature and all cargo types stored in the refrigeration house; and on the basis of the temperature data, the equipment operation data and the target temperature, an equipment control instruction is generated and executed, so that the temperature of the refrigeration house is adjusted to the target temperature. According to the invention, the refrigeration house is subjected to partition management, and the cargo type is associated with the temperature management, so that the refined control of the refrigeration house is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of data analysis, and in particular relates to a cold storage temperature control method, system, terminal and storage medium based on the Internet of Things. Background Art

[0002] Cold storage management is usually a delicate and complex process, which mainly relies on advanced temperature control equipment to accurately control the ambient temperature in the cold storage within a preset range. However, in actual operation, one fact that cannot be ignored is that different types of goods have significant differences in storage temperature requirements. For example, some fresh foods need to be stored in an environment close to zero degrees to maintain their freshness and taste, while other medicines or chemicals may require lower temperatures to prevent deterioration or chemical reactions.

[0003] Unfortunately, many cold storages still use a relatively extensive temperature control strategy, which often only sets a general temperature range without more detailed temperature zoning and control for different types of goods. This one-size-fits-all management approach obviously cannot fully meet the specific storage needs of diverse types of goods, which may lead to a decline in the quality of goods, an increase in losses, and even safety risks. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a cold storage temperature control method, system, terminal and storage medium based on the Internet of Things to solve the above-mentioned technical problems.

[0005] In a first aspect, the present invention provides a cold storage temperature control method based on the Internet of Things, comprising: Obtain temperature data and equipment operation data of cold storage; Obtaining inbound and outbound records, wherein the inbound and outbound records include the type, quantity, and storage area of ​​goods; Summarize all types of goods stored in the cold storage based on the in-and-out records; Generate target temperature based on the preset correspondence between cargo type and standard temperature and all cargo types stored in the cold storage; Based on the temperature data, equipment operation data and target temperature, an equipment control instruction is generated and executed to adjust the temperature of the cold storage to the target temperature.

[0006] In an optional embodiment, obtaining the temperature data and equipment operation data of the cold storage includes: Divide the cold storage into multiple areas in advance, assign an area code to each area, and add the area code to the name of the sensor device deployed in the area; Receive temperature data uploaded by the sensor, and save the temperature data to a data list of a corresponding area based on the device name of the sensor; The operation data of the equipment in each area is obtained through a communication link with the equipment, wherein the operation data includes actual working power.

[0007] In an optional embodiment, all types of goods stored in the cold storage are summarized based on the storage entry and exit records, including: Based on the in-and-out records, the cargo information actually stored in the cold storage is counted, and the cargo information includes cargo type, quantity and storage area; The cargo information is classified according to storage areas to obtain the type and quantity of cargo stored in each area.

[0008] In an optional embodiment, based on the correspondence between the preset cargo types and the standard temperature and all cargo types stored in the cold storage, the target temperature is generated, including: Pre-set the standard temperature range corresponding to the cargo type based on the storage requirements of different types of cargo; Based on the type of goods actually stored in the area, the corresponding standard temperature range is retrieved; The intersection of multiple standard temperature ranges corresponding to the region is calculated. If there is an intersection, the target temperature is set based on the intersection. If there is no intersection, a task for cargo adjustment is generated.

[0009] In an optional embodiment, the method further comprises: Receive the task of cargo adjustment and retrieve the cargo information of the corresponding area; Cluster the cargo information of the corresponding area according to the standard temperature range to obtain multiple temperature categories; Count the cargo types and the total quantity of each cargo type in the cargo information of each temperature category, set the weight of the cargo type, the more fragile the cargo type, the higher the weight, calculate the weighted sum of the quantity of all cargo types in the temperature category, and get the total score.

[0010] Filter out the temperature category with the highest total score as the main temperature category, extract the standard temperature range of the cargo information in the main temperature category, and calculate the intersection of all standard temperature ranges; The cargo information in the temperature categories other than the main temperature category is marked as cargo information to be adjusted, and the corresponding cargo is transferred to other areas based on the cargo information to be adjusted.

[0011] In an optional embodiment, based on the temperature data, the equipment operation data and the target temperature, generating and executing equipment control instructions to adjust the temperature of the cold storage to the target temperature includes: Get the actual temperature and target temperature of the area; Calculate the difference between the actual temperature and the target temperature; Acquire the actual working power of the refrigeration equipment deployed in the area, and generate the target working power based on the actual working power and the difference; The target operating power is sent to a corresponding refrigeration device, so that the refrigeration device adjusts the operating power to the target operating power.

[0012] In a second aspect, the present invention provides a cold storage temperature control system based on the Internet of Things, comprising: Environmental monitoring module, used to obtain temperature data and equipment operation data of cold storage; A storage monitoring module is used to obtain inbound and outbound records, which include the type, quantity and storage area of ​​goods; A data summary module, used to summarize all types of goods stored in the cold storage based on the storage entry and exit records; A target calculation module is used to generate a target temperature based on the correspondence between the preset cargo type and the standard temperature and all cargo types stored in the cold storage; The device control module is used to generate and execute device control instructions based on the temperature data, device operation data and target temperature to adjust the temperature of the cold storage to the target temperature.

[0013] In an optional embodiment, the environment monitoring module includes: The device management unit is used to divide the cold storage into multiple areas in advance, assign an area code to each area, and add the area code to the name of the sensor device deployed in the area; A data storage unit, used for receiving temperature data uploaded by the sensor, and saving the temperature data to a data list of a corresponding area based on a device name of the sensor; The equipment monitoring unit is used to obtain the operating data of the equipment in each area through a communication link with the equipment, wherein the operating data includes the actual working power.

[0014] In a third aspect, a terminal is provided, including: A memory device for storing a cold storage temperature control program based on the Internet of Things; The processor is used to implement the steps of the cold storage temperature control method based on the Internet of Things provided in the first aspect when executing the cold storage temperature control program based on the Internet of Things.

[0015] In a fourth aspect, a computer-readable storage medium is provided, on which a cold storage temperature control program based on the Internet of Things is stored. When the cold storage temperature control program based on the Internet of Things is executed by a processor, the steps of the cold storage temperature control method based on the Internet of Things provided in the first aspect are implemented.

[0016] The beneficial effect of the present invention is that the Internet of Things-based cold storage temperature control method, system, terminal and storage medium provided by the present invention realizes refined control of the cold storage by zoning the cold storage and associating the type of goods with temperature management.

[0017] In addition, the invention has a reliable design principle, a simple structure and a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention.

[0020] Figure 2 is a schematic block diagram of a system according to an embodiment of the present invention.

[0021] Figure 3 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0023] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments and are not intended to limit the present invention.

[0024] The cold storage temperature control method based on the Internet of Things provided in the embodiment of the present invention is executed by a computer device, and accordingly, the cold storage temperature control system based on the Internet of Things runs in the computer device.

[0025] Figure 1 is a schematic flow chart of a method according to an embodiment of the present invention. Figure 1 The execution subject can be a cold storage temperature control system based on the Internet of Things. According to different needs, the order of the steps in the flow chart can be changed, and some can be omitted.

[0026] like Figure 1 As shown, the method includes: Step 110, obtaining the temperature data and equipment operation data of the cold storage; Step 120, obtaining the in-and-out records, wherein the in-and-out records include the type, quantity and storage area of ​​goods; Step 130, summarizing all types of goods stored in the cold storage based on the storage entry and exit records; Step 140, generating a target temperature based on the preset correspondence between the cargo type and the standard temperature and all cargo types stored in the cold storage; Step 150, based on the temperature data, the equipment operation data and the target temperature, generate and execute equipment control instructions to adjust the temperature of the cold storage to the target temperature.

[0027] To facilitate understanding of the present invention, the cold storage temperature control method based on the Internet of Things provided by the present invention is further described below based on the principle of the cold storage temperature control method based on the Internet of Things provided by the present invention and in combination with the process of temperature control of the cold storage based on the Internet of Things in the embodiment.

[0028] Specifically, the cold storage temperature control methods based on the Internet of Things include: S1. Obtain the temperature data and equipment operation data of the cold storage.

[0029] The cold storage is pre-divided into multiple areas, and an area code is assigned to each area, and the area code is added to the name of the sensor device deployed in the area; the temperature data uploaded by the sensor is received, and the temperature data is saved to the data list of the corresponding area based on the device name of the sensor; the operating data of the equipment in each area is obtained through the communication link with the equipment, and the operating data includes the actual working power.

[0030] In one example, regional division and sensor deployment: First, the cold storage is divided into multiple areas according to its physical structure and storage requirements, and a unique area code is assigned to each area. Then, sensor devices are deployed in each area, and the names of these devices should contain the area code of the area where they are located, so as to facilitate the subsequent classification and processing of data.

[0031] Temperature data reception and storage: The sensor device will periodically upload the temperature data of the area it is in. After the system receives this data, it will automatically classify the temperature data into the data list of the corresponding area according to the device name of the sensor (including the area code).

[0032] Equipment operation data acquisition: At the same time, the system obtains the operation data of these devices in real time through communication links with various devices in the cold storage (such as RS485, Wi-Fi, LoRa, etc.), including but not limited to actual working power, operating status, etc.

[0033] S2. Obtaining inbound and outbound records, wherein the inbound and outbound records include the type, quantity and storage area of ​​goods.

[0034] Whenever goods enter or leave the cold storage, the system will record the relevant in and out information, including the type of goods, quantity, storage area, etc. This information is an important basis for subsequent goods management and temperature control.

[0035] S3. Summarize all types of goods stored in the cold storage based on the storage entry and exit records.

[0036] The cargo information actually stored in the cold storage is counted based on the in-and-out records, and the cargo information includes cargo type, quantity and storage area; the cargo information is classified according to the storage area to obtain the cargo type and quantity stored in each area.

[0037] In one example, based on the in-and-out records, the system will calculate the actual cargo information stored in the cold storage, including cargo type, quantity, and storage area. Then, the system will classify the cargo information by storage area and obtain the cargo type and quantity stored in each area to facilitate subsequent temperature control and cargo management.

[0038] S4. Generate a target temperature based on the preset correspondence between the cargo type and the standard temperature and all cargo types stored in the cold storage.

[0039] Based on the storage requirements of different types of goods, the standard temperature range corresponding to the goods type is set in advance; based on the goods type actually stored in the area, the corresponding standard temperature range is retrieved; the intersection of multiple standard temperature ranges corresponding to the area is calculated, and if there is an intersection, the target temperature is set based on the intersection; if there is no intersection, a task for adjusting the goods is generated.

[0040] Upon receiving the task of cargo adjustment, retrieve the cargo information of the corresponding area; cluster the cargo information of the corresponding area according to the standard temperature range to obtain multiple temperature categories; count the cargo types and the total quantity of each cargo type in the cargo information of each temperature category, set the weight of the cargo type, the more fragile the cargo type, the higher the weight; calculate the weighted sum of the quantity of all cargo types in the temperature category to obtain the total score. Filter out the temperature category with the highest total score as the main temperature category, extract the standard temperature range of the cargo information in the main temperature category, and calculate the intersection of all standard temperature ranges; mark the cargo information in the temperature category other than the main temperature category as cargo information to be adjusted, and adjust the corresponding cargo to other areas based on the cargo information to be adjusted.

[0041] In one example, standard temperature ranges corresponding to different types of goods are set in advance according to storage requirements of different types of goods and stored in the system.

[0042] Target temperature generation: Based on the type of goods actually stored in the area, the system will retrieve the corresponding standard temperature range from the standard temperature range database. Then, the intersection of these standard temperature ranges is calculated to generate the target temperature for the area. If there is an intersection, the target temperature is set based on the intersection; if there is no intersection, a task for cargo adjustment is generated.

[0043] Cargo adjustment task execution: It is necessary to ensure that detailed cargo information for the corresponding area has been obtained, which should include the standard temperature requirements for each cargo. These temperature requirements are usually given in the form of numerical ranges, such as "-18℃ to -24℃" for frozen foods, "0℃ to 5℃" for refrigerated foods, etc. Before clustering, the data needs to be preprocessed. This includes converting the temperature range into numerical form for mathematical operations. For example, "-18℃ to -24℃" can be converted into two endpoint values ​​-18 and -24, and an intermediate value or average value may be calculated as a representative. However, in the clustering process, it is more common to retain the two endpoints of the temperature range and treat them as part of the multidimensional data points. The clustering process uses a hierarchical clustering algorithm to ensure that cargo with similar temperature requirements are grouped together, and finally multiple temperature categories are obtained. The cargo within each temperature category has similar requirements for temperature control, which is convenient for subsequent storage and management. Next, the cargo information within each temperature category is statistically analyzed in detail, including recording each cargo type and its corresponding total quantity. On this basis, a weight value is set for each type of cargo according to factors such as the fragility of the cargo type, where the more fragile cargo type is given a higher weight. This step is intended to ensure that more attention and protection is given to fragile cargo in subsequent calculations. Subsequently, the weighted sum of the quantity of all cargo types in each temperature category is calculated as the total score of the temperature category. The total score reflects the comprehensive performance of the cargo in this temperature category in multiple dimensions such as quantity and fragility. By comparing the total scores of each temperature category, the temperature category with the highest total score is selected as the main temperature category. After determining the main temperature category, the standard temperature range of all cargo information in the category is extracted, and the intersection of these temperature ranges is calculated to obtain a common standard temperature range applicable to all cargo in the main temperature category. This range will serve as the main temperature control standard in the subsequent storage and transportation process. Finally, the cargo information in other temperature categories other than the main temperature category is marked as cargo information to be adjusted. Based on these cargo information to be adjusted, a detailed cargo adjustment plan is formulated to transfer the corresponding cargo to other areas that can meet their standard temperature requirements to ensure that all cargo can be stored and transported under appropriate conditions and improve the efficiency and safety of cargo management.

[0044] Standard temperature range settings: The managers of the cold chain logistics center set the standard temperature range corresponding to the cargo types in advance according to the storage requirements of different types of cargo, and store it in the intelligent management system of the cold storage. For example: Meat: 0℃ to 4℃; Fruits: 5°C to 10°C (some tropical fruits may be higher); Vegetables: 0℃ to 8℃ (some leafy vegetables may be lower); Dairy products: 2°C to 6°C.

[0045] Target temperature generation: Assume that a certain area of ​​the cold storage currently stores meat, fruit, and dairy products. The intelligent management system will retrieve the corresponding standard temperature range from the standard temperature range database based on the type of goods actually stored in the area. Then, the intersection of these standard temperature ranges is calculated: The standard temperature range for meat is 0°C to 4°C; The standard temperature range for fruit is 5°C to 10°C; The standard temperature range for dairy products is 2°C to 6°C.

[0046] The result of finding the intersection is that the three temperature ranges have no common intersection. Therefore, the intelligent management system cannot set a single target temperature for the area that simultaneously meets the storage needs of all types of goods.

[0047] Cargo adjustment task generation and execution: Since the target temperature cannot be generated, the intelligent management system will generate a task to adjust the goods. The system first retrieves the goods information of the area and sorts them by the type and quantity of the goods from large to small. Assume that the quantity of goods stored in the area is sorted as follows: meat>dairy products>fruits.

[0048] Then, the system calculates the intersection of the standard temperature ranges of adjacent cargo types in order: Calculate the intersection of the standard temperature range for meat (0°C to 4°C) and the standard temperature range for dairy products (2°C to 6°C), which results in 2°C to 4°C.

[0049] Next, calculate the intersection of this intersection (2℃ to 4℃) and the standard temperature range of fruit (5℃ to 10℃). The result is an empty set, indicating that there is no intersection.

[0050] Since there is no intersection, the system marks the current cargo type (fruit) as the cargo type to be adjusted and generates corresponding adjustment suggestions or instructions. For example, it is recommended to move the fruit to another area with a more suitable temperature range for storage, or adjust the refrigeration equipment in this area to try to meet the storage needs of some cargo (but it may not be possible to meet the storage needs of all cargo at the same time).

[0051] In actual operations, managers of cold chain logistics centers will take appropriate measures to adjust the storage location of goods or the working parameters of refrigeration equipment based on the suggestions or instructions of the intelligent management system to ensure that all goods can be stored at an appropriate temperature.

[0052] S5. Based on the temperature data, the equipment operation data and the target temperature, generate and execute equipment control instructions to adjust the temperature of the cold storage to the target temperature.

[0053] Obtain the actual temperature and target temperature of the area; calculate the difference between the actual temperature and the target temperature; obtain the actual working power of the refrigeration equipment deployed in the area, and generate the target working power based on the actual working power and the difference; send the target working power to the corresponding refrigeration equipment so that the refrigeration equipment adjusts the working power to the target working power.

[0054] In one example, after the system obtains the actual temperature and target temperature of the area, it calculates the difference between the two. Next, the system obtains the actual working power of the refrigeration equipment deployed in the area, and generates the target working power based on the actual working power and the temperature difference. For example, the target working power is equal to the actual working power plus the product of the temperature difference and the adjustment coefficient. Finally, the system sends the target working power to the corresponding refrigeration equipment and instructs it to adjust the working power to the target working power. At the same time, the system will continue to monitor the changes in the actual temperature and adjust the working power of the equipment as needed to maintain the target temperature.

[0055] In some embodiments, the cold storage temperature control system based on the Internet of Things may include a plurality of functional modules composed of computer program segments. The computer programs of the various program segments in the cold storage temperature control system based on the Internet of Things may be stored in the memory of a computer device and executed by at least one processor to execute (see Figure 1 Description) Function of cold storage temperature control based on the Internet of Things.

[0056] In this embodiment, the cold storage temperature control system based on the Internet of Things can be divided into multiple functional modules according to the functions it performs, such as Figure 2 As shown. The functional modules of the system 200 may include: an environment monitoring module 210, a storage monitoring module 220, a data aggregation module 230, a target calculation module 240 and a device control module 250. The module referred to in the present invention refers to a series of computer program segments that can be executed by at least one processor and can complete fixed functions, which are stored in a memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0057] Environmental monitoring module, used to obtain temperature data and equipment operation data of cold storage; A storage monitoring module is used to obtain inbound and outbound records, which include the type, quantity and storage area of ​​goods; A data summary module, used to summarize all types of goods stored in the cold storage based on the storage entry and exit records; A target calculation module is used to generate a target temperature based on the correspondence between the preset cargo type and the standard temperature and all cargo types stored in the cold storage; The device control module is used to generate and execute device control instructions based on the temperature data, device operation data and target temperature to adjust the temperature of the cold storage to the target temperature.

[0058] Optionally, as an embodiment of the present invention, the environment monitoring module includes: The device management unit is used to divide the cold storage into multiple areas in advance, assign an area code to each area, and add the area code to the name of the sensor device deployed in the area; A data storage unit, used for receiving temperature data uploaded by the sensor, and saving the temperature data to a data list of a corresponding area based on a device name of the sensor; The equipment monitoring unit is used to obtain the operating data of the equipment in each area through a communication link with the equipment, wherein the operating data includes the actual working power.

[0059] Figure 3 The present invention provides a schematic diagram of the structure of a terminal 300 provided in an embodiment of the present invention. The terminal 300 can be used to execute the cold storage temperature control method based on the Internet of Things provided in an embodiment of the present invention.

[0060] The terminal 300 may include: a processor 310, a memory 320 and a communication unit 330. These components communicate via one or more buses. Those skilled in the art will appreciate that the server structure shown in the figure does not limit the present invention, and it may be a bus structure or a star structure, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0061] The memory 320 can be used to store the execution instructions of the processor 310, and the memory 320 can be implemented by any type of volatile or non-volatile storage terminal or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. When the execution instructions in the memory 320 are executed by the processor 310, the terminal 300 can perform some or all of the steps in the following method embodiments.

[0062] The processor 310 is the control center of the storage terminal, and uses various interfaces and lines to connect various parts of the entire electronic terminal. It runs or executes software programs and / or modules stored in the memory 320, and calls data stored in the memory to perform various functions of the electronic terminal and / or process data. The processor can be composed of an integrated circuit (IC), for example, it can be composed of a single packaged IC, or it can be composed of multiple packaged ICs with the same or different functions. For example, the processor 310 can only include a central processing unit (CPU). In the embodiment of the present invention, the CPU can be a single computing core or multiple computing cores.

[0063] The communication unit 330 is used to establish a communication channel so that the storage terminal can communicate with other terminals, receive user data sent by other terminals or send user data to other terminals.

[0064] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0065] Therefore, the present invention realizes refined control of the cold storage by performing zoning management on the cold storage and associating the type of goods with temperature management. The technical effects that can be achieved by this embodiment can be found in the description above and will not be repeated here.

[0066] Those skilled in the art can clearly understand that the technology in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solution in the embodiments of the present invention, in essence or in other words, the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes, including several instructions for enabling a computer terminal (which can be a personal computer, a server, or a second terminal, a network terminal, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention.

[0067] In this specification, the same or similar parts between the various embodiments can be referred to each other. In particular, for the terminal embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description in the method embodiment.

[0068] In the several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of systems or modules, which can be electrical, mechanical or other forms.

[0069] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0070] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0071] Although the present invention has been described in detail with reference to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, a person of ordinary skill in the art may make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions shall be within the scope of the present invention. Any person of ordinary skill in the art may easily think of changes or substitutions within the technical scope disclosed by the present invention, and these shall be within the scope of protection of the present invention.

Claims

1. A cold storage temperature control method based on the Internet of Things, characterized in that: include: Obtain temperature data and equipment operation data of cold storage; Obtaining inbound and outbound records, wherein the inbound and outbound records include the type, quantity, and storage area of ​​goods; Summarize all types of goods stored in the cold storage based on the in-and-out records; Generate target temperature based on the preset correspondence between cargo type and standard temperature and all cargo types stored in the cold storage; Based on the temperature data, equipment operation data and target temperature, an equipment control instruction is generated and executed to adjust the temperature of the cold storage to the target temperature.

2. The method according to claim 1, characterized in that Obtain the temperature data and equipment operation data of the cold storage, including: Divide the cold storage into multiple areas in advance, assign an area code to each area, and add the area code to the name of the sensor device deployed in the area; Receive temperature data uploaded by the sensor, and save the temperature data to a data list of a corresponding area based on the device name of the sensor; The operation data of the equipment in each area is obtained through a communication link with the equipment, wherein the operation data includes actual working power.

3. The method according to claim 2, characterized in that Based on the inbound and outbound records, all types of goods stored in the cold storage are summarized, including: Based on the in-and-out records, the cargo information actually stored in the cold storage is counted, and the cargo information includes cargo type, quantity and storage area; The cargo information is classified according to storage areas to obtain the type and quantity of cargo stored in each area.

4. The method according to claim 3, characterized in that: Based on the correspondence between the preset cargo types and standard temperatures, and all cargo types stored in the cold storage, the target temperature is generated, including: Pre-set the standard temperature range corresponding to the cargo type based on the storage requirements of different types of cargo; Based on the type of goods actually stored in the area, the corresponding standard temperature range is retrieved; The intersection of multiple standard temperature ranges corresponding to the region is calculated. If there is an intersection, the target temperature is set based on the intersection. If there is no intersection, a task for cargo adjustment is generated.

5. The method according to claim 4, characterized in that The method further comprises: Receive the task of cargo adjustment and retrieve the cargo information of the corresponding area; Cluster the cargo information of the corresponding area according to the standard temperature range to obtain multiple temperature categories; Count the types of goods and the total quantity of each type of goods in the goods information of each temperature category, set the weight of the goods type, the more fragile the goods type, the higher the weight, calculate the weighted sum of the quantity of all goods types in the temperature category, and get the total score; Filter out the temperature category with the highest total score as the main temperature category, extract the standard temperature range of the cargo information in the main temperature category, and calculate the intersection of all standard temperature ranges; The cargo information in the temperature categories other than the main temperature category is marked as cargo information to be adjusted, and the corresponding cargo is transferred to other areas based on the cargo information to be adjusted.

6. The method according to claim 5, characterized in that Based on the temperature data, the equipment operation data and the target temperature, generating and executing equipment control instructions to adjust the temperature of the cold storage to the target temperature, including: Get the actual temperature and target temperature of the area; Calculate the difference between the actual temperature and the target temperature; Acquire the actual working power of the refrigeration equipment deployed in the area, and generate the target working power based on the actual working power and the difference; The target operating power is sent to a corresponding refrigeration device, so that the refrigeration device adjusts the operating power to the target operating power.

7. A cold storage temperature control system based on the Internet of Things, characterized in that: include: Environmental monitoring module, used to obtain temperature data and equipment operation data of cold storage; A storage monitoring module is used to obtain inbound and outbound records, which include the type, quantity and storage area of ​​goods; A data summary module, used to summarize all types of goods stored in the cold storage based on the storage entry and exit records; A target calculation module is used to generate a target temperature based on the correspondence between the preset cargo type and the standard temperature and all cargo types stored in the cold storage; The device control module is used to generate and execute device control instructions based on the temperature data, device operation data and target temperature to adjust the temperature of the cold storage to the target temperature.

8. The system according to claim 7, characterized in that The environmental monitoring module comprises: The device management unit is used to pre-divide the cold storage into multiple areas, assign an area code to each area, and add the area code to the name of the sensor device deployed in the area; A data storage unit, used for receiving temperature data uploaded by the sensor, and saving the temperature data to a data list of a corresponding area based on a device name of the sensor; The equipment monitoring unit is used to obtain the operating data of the equipment in each area through a communication link with the equipment, wherein the operating data includes the actual working power.

9. A terminal, characterized in that: include: A memory device for storing a cold storage temperature control program based on the Internet of Things; A processor is used to implement the steps of the cold storage temperature control method based on the Internet of Things as described in any one of claims 1 to 6 when executing the cold storage temperature control program based on the Internet of Things.

10. A computer-readable storage medium storing a computer program, characterized in that: The readable storage medium stores a cold storage temperature control program based on the Internet of Things. When the cold storage temperature control program based on the Internet of Things is executed by the processor, the steps of the cold storage temperature control method based on the Internet of Things as described in any one of claims 1 to 6 are implemented.

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