Warehousing humidity intelligent adjusting method and related equipment

Abstract

The invention relates to the technical field of humidity adjustment, in particular to a storage humidity intelligent adjustment method and related equipment, and the method comprises the steps: obtaining a function distribution diagram of a target warehouse; based on the function distribution diagram, humidity requirements and current humidity of different function areas are obtained; judging whether the current humidity meets the humidity requirement or not; if the current humidity does not meet the humidity requirement, generating a humidity adjusting scheme based on the current humidity and the humidity requirement; and adjusting the current humidity of the target warehouse based on the humidity adjusting scheme. According to the method, the capability of timely adjusting the real-time humidity of the warehouse is enhanced, and the tobacco leaf damage risk is reduced.

Description

Technical Field

[0001] This application relates to the technical field of humidity regulation, and particularly to an intelligent method for regulating the humidity in a warehouse and related equipment. Background Art

[0002] In the tobacco industry, tobacco leaves, as the core raw material, their storage quality is directly related to the quality of cigarette products and the economic benefits of enterprises. Tobacco leaves have special physical and chemical properties and are extremely sensitive to the storage environment, especially humidity conditions. The ideal humidity range for storing tobacco leaves is usually 60%-65% RH. Within this humidity range, tobacco leaves can maintain good color, aroma, and the stability of internal chemical components, which is beneficial to subsequent fermentation and processing. However, when the environmental humidity is higher than 65% RH, tobacco leaves are prone to absorbing excessive moisture, causing mildew, rot, breeding storage pests such as tobacco beetles, and at the same time accelerating the decomposition of organic substances in tobacco leaves, resulting in the loss of aroma substances and the deterioration of quality; if the humidity is lower than 60% RH, tobacco leaves will become dry and brittle due to excessive water loss, and are extremely easy to break during handling and processing, causing raw material losses, and the natural fermentation process of tobacco leaves is blocked in a low-humidity environment, and an ideal flavor and taste cannot be formed.

[0003] Currently, there are many problems with the humidity regulation methods in tobacco leaf storage. Many small and medium-sized tobacco leaf warehouses still use the traditional manual inspection mode. Staff regularly use a humidity measuring instrument to detect the humidity in the warehouse and judge whether to start the dehumidification or humidification equipment based on experience. This method is not only inefficient, but also greatly affected by human factors, with a limited measurement frequency, and it is difficult to capture the subtle changes in humidity in real time. When the humidity exceeds the ideal humidity range, effective adjustment measures cannot be taken in time, resulting in an increased risk of damage to tobacco leaves. Summary of the Invention

[0004] In order to help enhance the ability to timely adjust the real-time humidity in the warehouse and reduce the risk of damage to tobacco leaves, this application provides an intelligent method for regulating the humidity in a warehouse and related equipment.

[0005] In the first aspect, an intelligent method for regulating the humidity in a warehouse provided by this application adopts the following technical solutions:

[0006] An intelligent method for regulating the humidity in a warehouse includes:

[0007] Obtain the functional distribution map of the target warehouse;

[0008] Based on the functional distribution map, obtain the humidity requirements and current humidity of different functional areas;

[0009] Judge whether the current humidity meets the humidity requirements;

[0010] If the current humidity does not meet the humidity requirement, a humidity adjustment plan is generated based on the current humidity and the humidity requirement;

[0011] Based on the humidity adjustment plan, the current humidity of the target warehouse is adjusted.

[0012] By adopting the above technical solution, the functional distribution map of the target warehouse is obtained. According to this functional distribution map, the storage requirements corresponding to different areas of the target warehouse can be known. According to this storage requirement, the humidity requirements corresponding to different functional areas and the current humidity corresponding to different functional areas are further obtained, and it is judged whether the current humidity meets the humidity requirement. If it does not meet, it means that the current humidity is not the most ideal humidity range for tobacco leaf storage and the current humidity needs to be adjusted. Therefore, a humidity adjustment plan is generated; the warehouse is divided into areas according to different functions, and the humidity in different functional areas is monitored in real time. Once it is found that it exceeds the ideal humidity range for tobacco leaf storage, the current humidity is immediately adjusted, so that the real-time humidity in different functional areas is always within the ideal humidity range for tobacco leaf storage, which helps to enhance the ability to adjust the real-time humidity of the warehouse in a timely manner and reduce the risk of tobacco leaf damage.

[0013] Optionally, the judging whether the current humidity meets the humidity requirement includes:

[0014] Based on the humidity requirement, the ideal humidity value of the target functional area is obtained;

[0015] Based on the current humidity and the ideal humidity value, the humidity difference is obtained;

[0016] Judge whether the humidity difference is less than the preset humidity threshold;

[0017] If not, it is determined that the current humidity does not meet the humidity requirement;

[0018] If so, the historical humidity record of the target functional area is obtained;

[0019] Based on the historical humidity record, the unit humidity change rate is obtained;

[0020] If the unit humidity change rate is less than the change rate threshold, it is determined that the current humidity meets the humidity requirement.

[0021] Optionally, the if the current humidity does not meet the humidity requirement, a humidity adjustment plan is generated based on the current humidity and the humidity requirement includes:

[0022] If the current humidity does not meet the humidity requirement, the historical adjustment record is obtained;

[0023] Based on the current humidity and the humidity requirement, determine whether there is a target adjustment plan;

[0024] If there is the historical adjustment plan, produce a humidity adjustment plan based on the historical adjustment plan.

[0025] Optionally, the determining whether there is a target adjustment plan based on the current humidity and the humidity requirement includes:

[0026] Based on the current humidity and the humidity requirement, obtain the cause of the abnormality;

[0027] Based on the cause of the abnormality, obtain the current abnormal factor;

[0028] Based on the historical adjustment record, obtain the historical abnormal factor;

[0029] Determine whether there is a match between the historical abnormal factor and the current abnormal factor;

[0030] If there is a match between the historical abnormal factor and the current abnormal factor, determine that there is a target adjustment plan.

[0031] Optionally, after the determining whether there is a target adjustment plan based on the current humidity and the humidity requirement, the following is further included:

[0032] If there is no historical adjustment plan, obtain the first environmental information corresponding to the target warehouse and the second environmental information corresponding to the target functional area;

[0033] Based on the first environmental information, obtain the first humidity influence coefficient;

[0034] Based on the second environmental information, obtain the second humidity influence coefficient;

[0035] Based on the current humidity, the humidity requirement, the first humidity influence coefficient, and the second humidity influence coefficient, generate a humidity adjustment plan.

[0036] Optionally, the obtaining the first humidity influence coefficient based on the first environmental information includes:

[0037] Based on the first environmental information, obtain the first humidity and the first temperature in the area where the target warehouse is located;

[0038] Obtain the warehouse characteristics and the first ventilation performance of the target warehouse;

[0039] Based on the first humidity, the first temperature, the warehouse characteristics, and the first ventilation performance, obtain the first humidity influence coefficient, and the first humidity influence coefficient satisfies the following calculation formula:

[0040]

[0041] Among them, K1 is the first humidity influence coefficient, H1 is the first humidity, T1 is the first temperature, T0 is the ideal temperature, C is the warehouse characteristic, V1 is the first ventilation performance, α1 is the weight coefficient of the first humidity, β1 is the weight coefficient of the first temperature, γ is the weight coefficient of the warehouse characteristic, δ1 is the weight coefficient of the first ventilation performance, T max and T min are respectively the maximum and minimum values of the temperature change in this area.

[0042] Optionally, obtaining the second humidity influence coefficient based on the second environmental information includes:

[0043] Based on the second environmental information, obtaining the second humidity, second temperature, and second ventilation performance corresponding to the target functional area;

[0044] Obtaining the target barrier layer between the target functional area and the warehouse roof;

[0045] If the target barrier layer is less than or equal to the preset layer threshold, obtain the target distance between the target functional area and the warehouse roof;

[0046] Based on the target barrier layer, the target distance, the second humidity, the second temperature, and the second ventilation performance, obtain the second humidity influence coefficient, and the second humidity influence coefficient satisfies the following calculation formula:

[0047]

[0048] If the target barrier layer is greater than the preset layer threshold, then based on the second humidity, the second temperature, and the second ventilation performance, obtain the second humidity influence coefficient, and the second humidity influence coefficient satisfies the following calculation formula:

[0049]

[0050] Among them, K2 is the second humidity influence coefficient, H2 is the second humidity, T2 is the second temperature, V2 is the first ventilation performance, α2 is the weight coefficient of the second humidity, β2 is the weight coefficient of the second temperature, λ is the influence coefficient of the target barrier layer on the humidity of the target functional area, τ is the influence coefficient of the target distance on the humidity of the target functional area, δ2 is the weight coefficient of the second ventilation performance, L is the target barrier layer number, and D is the target distance.

[0051] In a second aspect, the present application also discloses a warehousing humidity intelligent regulation system, adopting the following technical solution:

[0052] A warehousing humidity intelligent regulation system includes:

[0053] The first acquisition module is used to acquire the functional distribution map of the target warehouse;

[0054] The second acquisition module is used to acquire the humidity requirements and the current humidity of different functional areas based on the functional distribution map;

[0055] The judgment module is used to judge whether the current humidity meets the humidity requirements;

[0056] If the current humidity does not meet the humidity requirements, the scheme generation module is used to generate a humidity adjustment scheme based on the current humidity and the humidity requirements;

[0057] The humidity adjustment module is used to adjust the current humidity of the target warehouse based on the humidity adjustment scheme.

[0058] By adopting the above technical solution, the functional distribution map of the target warehouse is acquired. According to this functional distribution map, the storage requirements corresponding to different areas of the target warehouse can be known. According to this storage requirement, the humidity requirements corresponding to different functional areas and the current humidity corresponding to different functional areas are further acquired, and it is judged whether the current humidity meets the humidity requirements. If it does not meet, it means that the current humidity is not the most ideal humidity range for tobacco leaf storage, and the current humidity needs to be adjusted. Therefore, a humidity adjustment scheme is generated; the warehouse is divided into areas according to different functions, and the humidity in different functional areas is monitored in real time. Once it is found that it exceeds the ideal humidity range for tobacco leaf storage, the current humidity is immediately adjusted, so that the real-time humidity in different functional areas is always within the ideal humidity range for tobacco leaf storage, which helps to enhance the ability to adjust the real-time humidity of the warehouse in a timely manner and reduce the risk of tobacco leaf damage.

[0059] In a third aspect, a computer device provided by the present application adopts the following technical solution:

[0060] An intelligent terminal includes a memory and a processor. The memory is used to store a computer program that can run on the processor. When the processor loads the computer program, it executes the method of the first aspect.

[0061] By adopting the above technical solution, a computer program is generated based on the method of the first aspect and stored in the memory to be loaded and executed by the processor. Thus, an intelligent terminal is made according to the memory and the processor, which is convenient for users to use.

[0062] In a fourth aspect, a computer-readable storage medium provided by the present application adopts the following technical solution:

[0063] A computer-readable storage medium stores a computer program, and when the computer program is loaded by a processor, the method of the first aspect is executed.

[0064] By adopting the above technical solution, a computer program is generated based on the method of the first aspect and stored in a computer-readable storage medium to be loaded and executed by a processor. Through the computer-readable storage medium, the readability and storage of the computer program are facilitated.

[0065] In summary, the present application includes the following beneficial technical effects:

[0066] The warehouse is divided into areas according to different functions, and the humidity in different functional areas is monitored in real time. Once it is found that the humidity exceeds the ideal humidity range for tobacco leaf storage, the current humidity is immediately adjusted, so that the real-time humidity in different functional areas is always within the ideal humidity range for tobacco leaf storage, which helps to enhance the ability to adjust the real-time humidity of the warehouse in a timely manner and reduce the risk of tobacco leaf damage. Description of the Drawings

[0067] Figure 1 is the main flowchart of an intelligent warehouse humidity adjustment method according to an embodiment of the present application;

[0068] Figure 2 is the flowchart of steps S201 to S207;

[0069] Figure 3 is the flowchart of steps S301 to S303;

[0070] Figure 4 is the flowchart of steps S401 to S405;

[0071] Figure 5 is the flowchart of steps S501 to S504;

[0072] Figure 6 is the flowchart of steps S601 to S603;

[0073] Figure 7 is the flowchart of steps S701 to S705;

[0074] Figure 8 is the module diagram of an intelligent warehouse humidity adjustment system according to an embodiment of the present application.

[0075] Description of the Reference Numerals:

[0076] 1. First acquisition module; 2. Second acquisition module; 3. Judgment module; 4. Scheme generation module; 5. Humidity adjustment module. Detailed Embodiments

[0077] In a first aspect, the present application discloses an intelligent method for adjusting the humidity in a warehouse.

[0078] Referring to Figure 1 , an intelligent method for adjusting the humidity in a warehouse includes steps S101 to S105:

[0079] Step S101: Obtain the functional distribution map of the target warehouse.

[0080] Specifically, the target warehouse is the warehouse that needs to monitor and intelligently adjust the humidity in real time. The functional distribution map is the map used to represent different storage functions corresponding to different areas in the target warehouse. In this embodiment, the target warehouse can be divided into several areas, and each area has a corresponding storage function. For example, area A stores the tobacco leaves after primary baking, area B stores the tobacco leaves in the re-baking stage, area C stores the tobacco leaves in the aging stage, and area D stores the finished cigarettes, etc.

[0081] Step S102: Based on the functional distribution map, obtain the humidity requirements and the current humidity of different functional areas.

[0082] Specifically, the humidity requirement is the requirement that needs to be met when storing tobacco leaves, including the real-time humidity value and the unit humidity change rate, etc. The current humidity is the current real-time humidity corresponding to different functional areas. In this embodiment, the humidity requirement is pre-set according to the functional area, and the current humidity can be collected in real time through a temperature and humidity sensor.

[0083] Step S103: Determine whether the current humidity meets the humidity requirement.

[0084] Step S104: If the current humidity does not meet the humidity requirement, then generate a humidity adjustment plan based on the current humidity and the humidity requirement.

[0085] Specifically, in this embodiment, if the current humidity does not meet the humidity requirement, it means that the current humidity is not the most ideal storage humidity range for the tobacco leaves corresponding to this functional area. Therefore, it is necessary to generate a corresponding humidity adjustment plan according to the humidity requirement to adjust the current humidity. The humidity adjustment plan is the specific plan for adjusting the current humidity, including humidification, dehumidification, increasing ventilation, reducing ventilation, heating, and cooling, etc. according to the specific situation.

[0086] Step S105: Based on the humidity adjustment plan, adjust the current humidity of the target warehouse.

[0087] The intelligent humidity regulation method provided in this embodiment obtains the functional distribution map of the target warehouse. According to this functional distribution map, the storage requirements corresponding to different areas of the target warehouse can be known. According to this storage requirement, the humidity requirements corresponding to different functional areas and the current humidity corresponding to different functional areas are further obtained, and it is judged whether the current humidity meets the humidity requirement. If not, it means that the current humidity is not the most ideal humidity range for tobacco leaf storage, and the current humidity needs to be adjusted. Therefore, a humidity adjustment plan is generated; the warehouse is divided into areas according to different functions, and the humidity in different functional areas is monitored in real time. Once it is found that it exceeds the ideal humidity range for tobacco leaf storage, the current humidity is immediately adjusted, so that the real-time humidity in different functional areas is always within the ideal humidity range for tobacco leaf storage, which helps to enhance the ability to adjust the real-time humidity of the warehouse in a timely manner and reduce the risk of tobacco leaf damage.

[0088] Referring to Figure 2 , in one implementation manner of this embodiment, step S103 of judging whether the current humidity meets the humidity requirement includes steps S201 to S207:

[0089] Step S201: Based on the humidity requirement, obtain the ideal humidity value of the target functional area.

[0090] Specifically, in this embodiment, the target functional area is the selected functional area, and the ideal humidity value is the most ideal storage humidity range value of the tobacco leaves corresponding to the target functional area. An appropriate humidity value can also be selected from this humidity range as the ideal humidity value.

[0091] Step S202: Based on the current humidity and the ideal humidity value, obtain the humidity difference.

[0092] Specifically, in this embodiment, the humidity difference is the difference obtained by subtracting the ideal humidity value from the current humidity. If the ideal humidity value is a range of humidity values, the humidity difference is also a range interval. If the ideal humidity value is a single humidity value, the humidity difference is also a single humidity value.

[0093] Step S203: Judge whether the humidity difference is less than the preset humidity threshold.

[0094] Specifically, in this embodiment, if the ideal humidity value is a range of humidity values, all values within this range need to be subjected to this judgment.

[0095] Step S204: If not, it is determined that the current humidity does not meet the humidity requirement.

[0096] Specifically, in this embodiment, if not, it means that the gap between the current humidity and the ideal humidity value is relatively large.

[0097] Step S205: If so, obtain the historical humidity record of the target functional area.

[0098] Specifically, in this embodiment, if so, it means that the difference between the current humidity and the ideal humidity value is relatively small or there is no difference; the historical humidity record is the real-time temperature at the corresponding historical moment of the target functional area.

[0099] Step S206: Based on the historical humidity record, obtain the unit humidity change rate.

[0100] Specifically, in this embodiment, the unit humidity change rate is the change rate of the real-time humidity value within a unit time (such as one hour).

[0101] Step S207: If the unit humidity change rate is less than the change rate threshold, it is determined that the current humidity meets the humidity requirement.

[0102] Specifically, if the unit humidity change rate is less than the change rate threshold, it means that the unit humidity change rate is relatively small and the real-time humidity in the target functional area is relatively stable. Therefore, it is determined that the current humidity meets the humidity requirement; in this embodiment, the change rate threshold is a pre-set judgment criterion for determining whether the unit humidity change rate meets the humidity requirement.

[0103] Refer to Figure 3 , in one implementation manner of this embodiment, if the current humidity does not meet the humidity requirement in step S104, then based on the current humidity and the humidity requirement, generating a humidity adjustment plan includes steps S301 to S303:

[0104] Step S301: If the current humidity does not meet the humidity requirement, obtain the historical adjustment record.

[0105] Specifically, in this embodiment, the historical adjustment record is the record of adjusting the real-time humidity used at the historical moment.

[0106] Step S302: Based on the current humidity and the humidity requirement, determine whether there is a target adjustment plan.

[0107] Specifically, in this embodiment, the target adjustment plan is the humidity adjustment plan at the historical moment when the real-time humidity at that moment is equal to or close to the current humidity and the target functional area is also the same.

[0108] Step S303: If there is a historical adjustment plan, generate a humidity adjustment plan based on the historical adjustment plan.

[0109] Specifically, in this embodiment, if there is a historical adjustment plan, it means that this situation at the current moment also occurred at the historical moment. Therefore, the humidity adjustment plan can be directly executed according to the historical adjustment plan.

[0110] Refer toFigure 4 , in one implementation manner of this embodiment, step S302 for determining whether there is a target adjustment plan based on the current humidity and humidity requirement includes steps S401 to S405:

[0111] Step S401: Obtain the abnormal cause based on the current humidity and humidity requirement.

[0112] Specifically, in this embodiment, the abnormal cause is the reason why the current humidity does not meet the humidity requirement. For example, because the current humidity is too high or too low, or the unit humidity change rate is too high, etc.

[0113] Step S402: Obtain the current abnormal factor based on the abnormal cause.

[0114] Specifically, in this embodiment, the current abnormal factor is the abnormal factor existing at the current moment, including the specific difference between the current humidity and the ideal humidity value, etc.

[0115] Step S403: Obtain the historical abnormal factor based on the historical adjustment record.

[0116] Specifically, in this embodiment, the historical abnormal factor is the specific data corresponding to the reason why the real-time humidity at the historical moment does not meet the humidity requirement. For example, the specific difference between the real-time humidity at the historical moment and the ideal humidity value, etc.

[0117] Step S404: Determine whether there is a match between the historical abnormal factor and the current abnormal factor.

[0118] Specifically, in this embodiment, it is determined whether the two match by judging whether the historical abnormal factor and the current abnormal factor are equal or close.

[0119] Step S405: If there is a match between the historical abnormal factor and the current abnormal factor, it is determined that there is a target adjustment plan.

[0120] Refer to Figure 5 , in one implementation manner of this embodiment, after step S302 for determining whether there is a target adjustment plan based on the current humidity and humidity requirement, steps S501 to S504 are further included:

[0121] Step S501: If there is no historical adjustment plan, obtain the first environmental information corresponding to the target warehouse and the second environmental information corresponding to the target functional area.

[0122] Specifically, in this embodiment, the first environmental information is the environmental information corresponding to the surrounding area or itself of the target warehouse, and the second environmental information is the environmental information corresponding to the surrounding area or itself of the target functional area.

[0123] Step S502: Obtain a first humidity influence coefficient based on the first environmental information.

[0124] Specifically, in this embodiment, the first humidity influence coefficient is the influence coefficient on the current humidity generated according to the first environmental information.

[0125] Step S503: Obtain a second humidity influence coefficient based on the second environmental information.

[0126] Specifically, in this embodiment, the second humidity influence coefficient is the influence coefficient on the current humidity generated according to the second environmental information.

[0127] Step S504: Generate a humidity adjustment plan based on the current humidity, humidity requirement, first humidity influence coefficient, and second humidity influence coefficient.

[0128] Refer to Figure 6 , in one implementation manner of this embodiment, step S502 of obtaining the first humidity influence coefficient based on the first environmental information includes steps S601 to S603:

[0129] Step S601: Obtain the first humidity and the first temperature of the area where the target warehouse is located based on the first environmental information.

[0130] Specifically, in this embodiment, the first humidity is the air humidity outside the target warehouse, and the first temperature is the air temperature outside the target warehouse.

[0131] Step S602: Obtain the warehouse characteristics and the first ventilation performance of the target warehouse.

[0132] Specifically, in this embodiment, the warehouse characteristics are the characteristics of the target warehouse itself, such as the heat insulation performance of the warehouse, the thermal conductivity coefficient of the building materials, etc. The value range can be quantified according to the actual situation. The larger the value, the worse the heat insulation performance and the more easily affected by the external temperature; the first ventilation performance can be measured by indicators such as ventilation volume and ventilation frequency, and the value range is also quantified according to the actual situation. The larger the value, the better the ventilation performance between the inside and outside of the target warehouse.

[0133] Step S603: Obtain the first humidity influence coefficient based on the first humidity, the first temperature, the warehouse characteristics, and the first ventilation performance.

[0134] Specifically, in this embodiment, the first humidity influence coefficient satisfies the following calculation formula:

[0135]

[0136] Wherein, K1 is the first humidity influence coefficient, H1 is the first humidity, T1 is the first temperature, T0 is the ideal temperature, C is the warehouse characteristic, V1 is the first ventilation performance, α1 is the weight coefficient of the first humidity, β1 is the weight coefficient of the first temperature, γ is the weight coefficient of the warehouse characteristic, δ1 is the weight coefficient of the first ventilation performance, T max and T min are respectively the maximum and minimum values of the temperature change in this area, which can be obtained by statistical analysis of historical data.

[0137] Referring to Figure 7 , in one implementation manner of this embodiment, step S503 for obtaining the second humidity influence coefficient based on the second environmental information includes steps S701 to S705:

[0138] Step S701: Based on the second environmental information, obtain the second humidity, second temperature, and second ventilation performance corresponding to the target functional area.

[0139] Specifically, in this embodiment, the second humidity is the air humidity within the target functional area, the second temperature is the air temperature within the target functional area, and the second ventilation performance can also be measured by indicators such as ventilation volume and ventilation frequency. The value range is also quantified according to the actual situation. The larger the value, the better the ventilation performance of the target functional area.

[0140] Step S702: Obtain the target barrier layer between the target functional area and the warehouse roof.

[0141] Specifically, in this embodiment, the target barrier layer is the number of barrier objects between the target functional area and the warehouse roof. In this embodiment, the target barrier layer refers to the heat insulation layer, wall, ceiling layer, etc.

[0142] Step S703: If the target barrier layer is less than or equal to the preset layer threshold, obtain the target distance between the target functional area and the warehouse roof.

[0143] Specifically, in this embodiment, the preset layer threshold is the judgment criterion preset for selecting the acquisition method of the second humidity influence coefficient, and the target distance is the shortest distance between the target functional area and the warehouse roof.

[0144] Step S704: Based on the target barrier layer, target distance, second humidity, second temperature, and second ventilation performance, obtain the second humidity influence coefficient.

[0145] Specifically, in this embodiment, the second humidity influence coefficient satisfies the following calculation formula:

[0146]

[0147] Among them, K2 is the second humidity influence coefficient, H2 is the second humidity, T2 is the second temperature, V2 is the first ventilation performance, α2 is the weight coefficient of the second humidity, β2 is the weight coefficient of the second temperature, λ is the influence coefficient of the target barrier layer on the humidity of the target functional area, τ is the influence coefficient of the target distance on the humidity of the target functional area, δ2 is the weight coefficient of the second ventilation performance, L is the number of target barrier layers, and D is the target distance.

[0148] Step S705: If the number of target barrier layers is greater than the preset layer threshold, then based on the second humidity, the second temperature, and the second ventilation performance, obtain the second humidity influence coefficient.

[0149] Specifically, in this embodiment, the second humidity influence coefficient satisfies the following calculation formula:

[0150]

[0151] In a second aspect, the present application also discloses an intelligent storage humidity regulation system.

[0152] Refer to Figure 8 , an intelligent storage humidity regulation system, including:

[0153] A first acquisition module, configured to acquire a functional distribution map of a target warehouse;

[0154] A second acquisition module, configured to acquire the humidity requirements and the current humidity of different functional areas based on the functional distribution map;

[0155] A judgment module, configured to judge whether the current humidity meets the humidity requirements;

[0156] A scheme generation module, if the current humidity does not meet the humidity requirements, the scheme generation module is configured to generate a humidity regulation scheme based on the current humidity and the humidity requirements;

[0157] A humidity regulation module, configured to regulate the current humidity of the target warehouse based on the humidity regulation scheme.

[0158] In a third aspect, an embodiment of the present application discloses an intelligent terminal, including a memory and a processor. The memory is used to store a computer program that can run on the processor. When the processor loads the computer program, it executes an intelligent storage humidity regulation method according to the above embodiment.

[0159] In a fourth aspect, an embodiment of the present application discloses a computer-readable storage medium, and a computer program is stored in the computer-readable storage medium. When the computer program is loaded by the processor, it executes an intelligent storage humidity regulation method according to the above embodiment.

[0160] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereby. Therefore, all equivalent changes made according to the structure, shape and principle of the present application shall be covered within the protection scope of the present application.

Claims

1. An intelligent method for adjusting the humidity in a warehouse, characterized in that, Including: Obtain the functional distribution map of the target warehouse; Based on the functional distribution map, obtain the humidity requirements and the current humidity of different functional areas; Judge whether the current humidity meets the humidity requirements; If the current humidity does not meet the humidity requirements, generate a humidity adjustment plan based on the current humidity and the humidity requirements; Based on the humidity adjustment plan, adjust the current humidity of the target warehouse.

2. The intelligent humidity adjustment method for a warehouse according to claim 1, characterized in that The judgment of whether the current humidity meets the humidity requirements includes: Based on the humidity requirements, obtain the ideal humidity value of the target functional area; Based on the current humidity and the ideal humidity value, obtain the humidity difference; Judge whether the humidity difference is less than the preset humidity threshold; If not, it is determined that the current humidity does not meet the humidity requirements; If so, obtain the historical humidity record of the target functional area; Based on the historical humidity record, obtain the unit humidity change rate; If the unit humidity change rate is less than the change rate threshold, it is determined that the current humidity meets the humidity requirements.

3. The intelligent humidity adjustment method for a warehouse according to claim 1, characterized in that, The statement that if the current humidity does not meet the humidity requirements, generate a humidity adjustment plan based on the current humidity and the humidity requirements includes: If the current humidity does not meet the humidity requirements, obtain the historical adjustment record; Based on the current humidity and the humidity requirements, judge whether there is a target adjustment plan; If there is the historical adjustment plan, generate a humidity adjustment plan based on the historical adjustment plan.

4. The intelligent humidity adjustment method for a warehouse according to claim 3, characterized in that The judgment of whether there is a target adjustment plan based on the current humidity and the humidity requirements includes: Based on the current humidity and the humidity requirements, obtain the cause of the abnormality; Based on the cause of the abnormality, obtain the current abnormal factor; Based on the historical adjustment record, obtain the historical abnormal factor; Judge whether there is a match between the historical abnormal factor and the current abnormal factor; If there is a match between the historical abnormal factor and the current abnormal factor, it is determined that there is a target adjustment plan.

5. The intelligent humidity adjustment method for a warehouse according to claim 3, characterized in that After the judgment of whether there is a target adjustment plan based on the current humidity and the humidity requirements, it further includes: If there is no historical adjustment plan, obtain the first environmental information corresponding to the target warehouse and the second environmental information corresponding to the target functional area; Based on the first environmental information, obtain the first humidity influence coefficient; Based on the second environmental information, obtain the second humidity influence coefficient; Based on the current humidity, the humidity requirements, the first humidity influence coefficient and the second humidity influence coefficient, generate a humidity adjustment plan.

6. The intelligent storage humidity adjustment method according to claim 5, characterized in that, The statement that based on the first environmental information, obtain the first humidity influence coefficient includes: Based on the first environmental information, obtain the first humidity and the first temperature of the area where the target warehouse is located; Obtain the warehouse characteristics and the first ventilation performance of the target warehouse; Based on the first humidity, the first temperature, the warehouse characteristics and the first ventilation performance, obtain the first humidity influence coefficient, and the first humidity influence coefficient satisfies the following calculation formula: Among them, K1 is the first humidity influence coefficient, H1 is the first humidity, T1 is the first temperature, T0 is the ideal temperature, C is the warehouse characteristic, V1 is the first ventilation performance, α1 is the weight coefficient of the first humidity, β1 is the weight coefficient of the first temperature, γ is the weight coefficient of the warehouse characteristic, δ1 is the weight coefficient of the first ventilation performance, T max and T min are the maximum and minimum values of the temperature change in this area respectively.

7. A method for intelligent adjustment of storage humidity according to claim 5, characterized in that, The statement that based on the second environmental information, obtain the second humidity influence coefficient includes: Based on the second environmental information, obtain the second humidity, the second temperature, and the second ventilation performance corresponding to the target functional area; Obtain the target barrier layer between the target functional area and the warehouse roof; If the target barrier layer is less than or equal to the preset layer threshold, obtain the target distance between the target functional area and the warehouse roof; Based on the target barrier layer, the target distance, the second humidity, the second temperature, and the second ventilation performance, obtain the second humidity influence coefficient, and the second humidity influence coefficient satisfies the following calculation formula: If the target barrier layer is greater than the preset layer threshold, based on the second humidity, the second temperature, and the second ventilation performance, obtain the second humidity influence coefficient, and the second humidity influence coefficient satisfies the following calculation formula: Wherein, K2 is the second humidity influence coefficient, H2 is the second humidity, T2 is the second temperature, V2 is the first ventilation performance, α2 is the weight coefficient of the second humidity, β2 is the weight coefficient of the second temperature, λ is the influence coefficient of the target barrier layer on the humidity of the target functional area, τ is the influence coefficient of the target distance on the humidity of the target functional area, δ2 is the weight coefficient of the second ventilation performance, L is the target number of barrier layers, and D is the target distance.

8. An intelligent storage humidity regulation system, characterized in that, Including: The first acquisition module is used to acquire the functional distribution map of the target warehouse; The second acquisition module is used to obtain the humidity requirements and the current humidity of different functional areas based on the functional distribution map; The judgment module is used to judge whether the current humidity meets the humidity requirements; The solution generation module, if the current humidity does not meet the humidity requirements, the solution generation module is used to generate a humidity adjustment solution based on the current humidity and the humidity requirements; The humidity adjustment module is used to adjust the current humidity of the target warehouse based on the humidity adjustment solution.

9. An intelligent terminal, comprising a memory and a processor, characterized in that, The memory is used to store a computer program that can run on the processor. When the processor loads the computer program, it executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is loaded by the processor, it executes the method according to any one of claims 1 to 7.

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