A warehouse humidity intelligent adjusting method and related equipment

Abstract

The application relates to the technical field of humidity adjustment, in particular to a warehouse humidity intelligent adjustment method and related equipment, which comprises the following steps: obtaining a function distribution map of a target warehouse; obtaining humidity requirements and current humidity of different function areas based on the function distribution map; judging whether the current humidity meets the humidity requirements; if the current humidity does not meet the humidity requirements, generating a humidity adjustment scheme based on the current humidity and the humidity requirements; and adjusting the current humidity of the target warehouse based on the humidity adjustment scheme. The application helps to enhance the real-time humidity adjustment capability of the warehouse and reduce the risk of tobacco damage.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of humidity adjustment, and in particular to a warehouse humidity intelligent adjustment method and related equipment. BACKGROUND

[0002] In the tobacco industry, tobacco leaves as the core raw material, the storage quality is directly related to the quality of cigarette products and economic benefits of enterprises. Tobacco leaves have special physical and chemical properties and are extremely sensitive to storage environment, especially humidity conditions. The ideal humidity range for tobacco leaf storage is usually 60%-65% RH. Within this humidity range, tobacco leaves can maintain good color, aroma, and intrinsic chemical composition stability, which is conducive to subsequent fermentation and processing. However, when the environmental humidity is higher than 65% RH, tobacco leaves are prone to absorb too much moisture, causing mold, rot, and breeding of warehouse pests such as tobacco beetles, while accelerating the decomposition of organic matter in tobacco leaves, resulting in loss of aroma substances and deterioration of quality. If the humidity is lower than 60% RH, the tobacco leaves will become dry and brittle due to excessive water loss, and are easily broken during handling and processing, causing raw material loss, and the natural fermentation process of tobacco leaves is hindered in low humidity environment, which cannot form ideal flavor and taste.

[0003] Currently, there are many problems in the humidity adjustment mode of tobacco leaf storage. Many small and medium-sized tobacco leaf storages still use the traditional manual inspection mode. The staff regularly uses a humidity measuring instrument to detect the humidity in the warehouse, and determines whether to start the dehumidification or humidification equipment according to experience. This way is not only inefficient, but also greatly affected by human factors, with limited measurement frequency, and it is difficult to capture subtle changes in humidity in real time. When the humidity exceeds the ideal humidity range, effective adjustment measures cannot be taken in time, increasing the risk of damage to tobacco leaves. SUMMARY

[0004] In order to help enhance the real-time humidity adjustment capability of the warehouse and reduce the risk of damage to tobacco leaves, the present application provides a warehouse humidity intelligent adjustment method and related equipment.

[0005] In a first aspect, the present application provides a warehouse humidity intelligent adjustment method, which adopts the following technical solution:

[0006] A warehouse humidity intelligent adjustment method, comprising:

[0007] obtaining a function distribution map of a target warehouse;

[0008] obtaining humidity requirements and current humidity of different functional areas based on the function distribution map;

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

[0010] if the current humidity does not meet the humidity requirement, generating a humidity adjustment scheme based on the current humidity and the humidity requirement;

[0011] adjusting the current humidity of the target warehouse based on the humidity adjustment scheme.

[0012] By adopting the technical solution, the function distribution map of the target warehouse is obtained, and according to the function distribution map, the storage requirements corresponding to different regions of the target warehouse can be obtained. According to the storage requirements, the humidity requirements corresponding to different functional regions and the current humidity corresponding to different functional regions are further obtained, and it is determined whether the current humidity meets the humidity requirement. If not, it indicates that the current humidity is not in the ideal humidity range for storing tobacco leaves, and the current humidity needs to be adjusted, so a humidity adjustment scheme is generated. The warehouse is divided into different functional regions, and the humidity in different functional regions is monitored in real time. Once it is found that it exceeds the ideal humidity range for storing tobacco leaves, the current humidity is immediately adjusted, so that the real-time humidity in different functional regions is always within the ideal humidity range for storing tobacco leaves, which helps to enhance the real-time humidity adjustment capability of the warehouse and reduce the risk of damage to tobacco leaves.

[0013] Optionally, the determination of whether the current humidity meets the humidity requirement comprises:

[0014] obtaining an ideal humidity value of the target functional region based on the humidity requirement;

[0015] obtaining a humidity difference value based on the current humidity and the ideal humidity value;

[0016] determining whether the humidity difference value is less than a preset humidity threshold value;

[0017] if not, determining that the current humidity does not meet the humidity requirement;

[0018] if yes, obtaining a historical humidity record of the target functional region;

[0019] obtaining a unit humidity change rate based on the historical humidity record;

[0020] if the unit humidity change rate is less than a change rate threshold value, determining that the current humidity meets the humidity requirement.

[0021] Optionally, if the current humidity does not meet the humidity requirement, the humidity adjustment scheme is generated based on the current humidity and the humidity requirement, which comprises:

[0022] if the current humidity does not meet the humidity requirement, obtaining a historical adjustment record;

[0023] determining whether there is a target adjustment scheme based on the current humidity and the humidity requirement;

[0024] if there is the historical adjustment scheme, generating a humidity adjustment scheme based on the historical adjustment scheme.

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

[0026] obtaining an abnormal reason based on the current humidity and the humidity requirement;

[0027] obtaining a current abnormal factor based on the abnormal reason;

[0028] obtaining a historical abnormal factor based on the historical adjustment record;

[0029] determining whether the historical abnormal factor matches the current abnormal factor;

[0030] if the historical abnormal factor matches the current abnormal factor, it is determined that there is a target adjustment scheme.

[0031] Optionally, after the determining whether there is a target adjustment scheme based on the current humidity and the humidity requirement, the method further comprises:

[0032] if there is no historical adjustment scheme, obtaining first environment information corresponding to the target warehouse and second environment information corresponding to a target functional area;

[0033] obtaining a first humidity influence coefficient based on the first environment information;

[0034] obtaining a second humidity influence coefficient based on the second environment information;

[0035] generating a humidity adjustment scheme based on the current humidity, the humidity requirement, the first humidity influence coefficient and the second humidity influence coefficient.

[0036] Optionally, the obtaining a first humidity influence coefficient based on the first environment information comprises:

[0037] obtaining a first humidity and a first temperature of an area where the target warehouse is located based on the first environment information;

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

[0039] obtaining a first humidity influence coefficient based on the first humidity, the first temperature, the warehouse characteristics and the first ventilation performance, the first humidity influence coefficient satisfying the following calculation formula:

[0040]

[0041] wherein, K1 is a first humidity influence coefficient, H1 is a first humidity, T1 is a first temperature, T0 is an ideal temperature, C is a warehouse characteristic, V1 is a first ventilation performance, a1 is a weight coefficient of the first humidity, b1 is a weight coefficient of the first temperature, g is a weight coefficient of the warehouse characteristic, d1 is a weight coefficient of the first ventilation performance, T max and T min are respectively a maximum value and a minimum value of temperature change of the area.

[0042] Optionally, the obtaining, based on the second environment information, of a second humidity influence coefficient comprises:

[0043] obtaining, based on the second environment information, of a second humidity and a second temperature corresponding to the target functional area, and a second ventilation performance;

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

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

[0046] obtaining, based on the target barrier layer, the target distance, the second humidity, the second temperature and the second ventilation performance, of a second humidity influence coefficient, the second humidity influence coefficient satisfying the following calculation formula:

[0047]

[0048] if the target barrier layer is greater than the preset layer threshold, obtaining, based on the second humidity, the second temperature and the second ventilation performance, of a second humidity influence coefficient, the second humidity influence coefficient satisfying the following calculation formula:

[0049]

[0050] wherein, K2 is a second humidity influence coefficient, H2 is a second humidity, T2 is a second temperature, V2 is a first ventilation performance, a2 is a weight coefficient of the second humidity, b2 is a weight coefficient of the second temperature, l is a target barrier layer humidity influence coefficient of the target functional area, t is a target distance humidity influence coefficient of the target functional area, d2 is a weight coefficient of the second ventilation performance, L is a target barrier layer number, and D is a target distance.

[0051] In a second aspect, the present application also discloses a warehouse humidity intelligent adjustment system, which adopts the following technical scheme:

[0052] A warehouse humidity intelligent adjustment system comprises:

[0053] The first obtaining module is configured to obtain a function distribution map of a target warehouse.

[0054] The second obtaining module is configured to obtain humidity requirements and current humidity of different function areas based on the function distribution map.

[0055] The determining module is configured to determine whether the current humidity meets the humidity requirements.

[0056] The scheme generating module is configured to generate a humidity adjustment scheme based on the current humidity and the humidity requirements if the current humidity does not meet the humidity requirements.

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

[0058] By using the above technical solution, the function distribution map of the target warehouse is obtained, and the storage requirements corresponding to different areas of the target warehouse can be obtained according to the function distribution map. The humidity requirements corresponding to different function areas and the current humidity corresponding to different function areas are further obtained according to the storage requirements, and it is determined whether the current humidity meets the humidity requirements. If not, it indicates that the current humidity is not in the ideal humidity range for storing tobacco leaves, and the current humidity needs to be adjusted, so a humidity adjustment scheme is generated. The warehouse is divided into areas according to different functions, and the humidity in different function areas is monitored in real time. Once it is found that it is out of the ideal humidity range for storing tobacco leaves, the current humidity is immediately adjusted, so that the real-time humidity in different function areas is always within the ideal humidity range for storing tobacco leaves, which helps to enhance the ability to adjust the real-time humidity of the warehouse in time and reduce the risk of damage to tobacco leaves.

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

[0060] An intelligent terminal includes a memory and a processor. The memory is configured to store a computer program capable of running on the processor. When the processor loads the computer program, the method of the first aspect is executed.

[0061] By using the above technical solution, the 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, so that the intelligent terminal is made of the memory and the processor, which is convenient for users to use.

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

[0063] A computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and the computer program is loaded by a processor to execute the method of the first aspect.

[0064] By adopting the technical scheme, the computer program is generated based on the method of the first aspect and stored in the computer readable storage medium to be loaded by the processor and executed, and the computer readable storage medium facilitates the readability and storage of the computer program.

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

[0066] The warehouse is divided into different functional areas, 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 storage, the current humidity is adjusted immediately, so that the real-time humidity in different functional areas is always within the ideal humidity range for tobacco storage, which helps to enhance the real-time humidity adjustment capability of the warehouse and reduce the risk of tobacco damage. BRIEF DESCRIPTION OF DRAWINGS

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

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

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

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

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

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

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

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

[0075] MARKING OF THE DRAWINGS:

[0076] 1, first acquisition module; 2, second acquisition module; 3, judgment module; 4, scheme generation module; 5, humidity adjustment module. DETAILED DESCRIPTION

[0077] Firstly, this application discloses a method for intelligently regulating warehouse humidity.

[0078] Reference Figure 1 A method for intelligent humidity control in warehouses, comprising 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 requires real-time monitoring and intelligent adjustment of warehouse humidity. The functional distribution map is a distribution map used to represent the different storage functions corresponding to different areas within the target warehouse. In this embodiment, the target warehouse can be divided into several areas, each with a corresponding storage function. For example, area A stores tobacco leaves after initial curing, area B stores tobacco leaves in the re-curing stage, area C stores tobacco leaves in the aging stage, and area D stores finished tobacco products, etc.

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

[0082] Specifically, humidity requirements refer to the requirements that tobacco leaves need to meet during storage, including real-time humidity values ​​and unit humidity change rate, etc. Current humidity refers to the current real-time humidity corresponding to different functional areas. In this embodiment, humidity requirements are preset according to functional areas, and current humidity can be collected in real time by temperature and humidity sensors.

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

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

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

[0086] Step S105: Adjust the current humidity of the target warehouse based on the humidity control scheme.

[0087] The warehouse humidity intelligent adjusting method provided by the embodiment acquires the function distribution map of the target warehouse, and according to the function distribution map, the storage requirements corresponding to different regions of the target warehouse can be known. According to the storage requirements, the humidity requirements corresponding to different function regions and the current humidity corresponding to different function regions are further acquired, and it is judged whether the current humidity meets the humidity requirements. If not, it indicates that the current humidity is not in the most ideal humidity range for storing tobacco leaves, and the current humidity needs to be adjusted, so that the humidity adjusting scheme is generated. The warehouse is divided into regions according to different functions, and the humidity in different function regions is monitored in real time. Once it is found that it exceeds the ideal humidity range for storing tobacco leaves, the current humidity is immediately adjusted, so that the real-time humidity in different function regions is always within the ideal humidity range for storing tobacco leaves, which helps to enhance the timely adjustment capability of the real-time humidity of the warehouse and reduce the risk of damage to tobacco leaves.

[0088] With reference to Figure 2 In one of the implementation manners of the embodiment, step S103 of judging whether the current humidity meets the humidity requirements includes steps S201 to S207:

[0089] Step S201: Based on the humidity requirements, the ideal humidity value of the target function region is acquired.

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

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

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

[0093] Step S203: It is judged whether the humidity difference value is less than a preset humidity threshold value.

[0094] Specifically, in the embodiment, if the ideal humidity value is a humidity value range, all values in the range need to be judged.

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

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

[0097] Step S205: If yes, a historical humidity record of the target functional area is obtained.

[0098] Specifically, in this embodiment, if yes, 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 historical time corresponding to the target functional area.

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

[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, so it is determined that the current humidity meets the humidity requirement; in this embodiment, the change rate threshold is a predetermined judgment standard for determining whether the unit humidity change rate meets the humidity requirement.

[0103] Reference Figure 3 In one embodiment of the present embodiment, if the current humidity does not meet the humidity requirement, step S104 generates a humidity adjustment scheme based on the current humidity and the humidity requirement, including steps S301 to S303:

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

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

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

[0107] Specifically, in this embodiment, the target adjustment scheme is a humidity adjustment scheme at the historical time, in which the real-time humidity at the time 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 scheme, a humidity adjustment scheme is generated based on the historical adjustment scheme.

[0109] Specifically, in this embodiment, if there is a historical adjustment scheme, it means that the historical time also encountered the current time, so the humidity adjustment scheme can be directly executed according to the historical adjustment scheme.

[0110] ReferenceFigure 4 In one of the implementation manners of the embodiment, step S302 determining whether there is a target adjustment scheme based on the current humidity and the humidity requirement comprises steps S401 to S405:

[0111] Step S401: obtaining an abnormality reason based on the current humidity and the humidity requirement.

[0112] Specifically, in the embodiment, the abnormality reason 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: obtaining a current abnormality factor based on the abnormality reason.

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

[0115] Step S403: obtaining a historical abnormality factor based on the historical adjustment record.

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

[0117] Step S404: determining whether the historical abnormality factor matches the current abnormality factor.

[0118] Specifically, in the embodiment, whether the historical abnormality factor matches the current abnormality factor is determined by judging whether they are equal or similar.

[0119] Step S405: if the historical abnormality factor matches the current abnormality factor, it is determined that there is a target adjustment scheme.

[0120] Reference Figure 5 In one of the implementation manners of the embodiment, after step S302 determining whether there is a target adjustment scheme based on the current humidity and the humidity requirement, steps S501 to S504 are further included:

[0121] Step S501: if there is no historical adjustment scheme, obtaining first environment information corresponding to the target warehouse and second environment information corresponding to the target functional area.

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

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

[0124] Specifically, in the embodiment, the first humidity influence coefficient is an influence coefficient of the current humidity generated according to the first environment information.

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

[0126] Specifically, in the embodiment, the second humidity influence coefficient is an influence coefficient of the current humidity generated according to the second environment information.

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

[0128] Referring to Figure 6 In one of the implementation manners of the embodiment, step S502 of obtaining the first humidity influence coefficient based on the first environment information includes steps S601 to S603:

[0129] Step S601: obtaining a first humidity and a first temperature of a region where the target warehouse is located based on the first environment information.

[0130] Specifically, in the 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: obtaining warehouse characteristics and a first ventilation performance of the target warehouse.

[0132] Specifically, in the embodiment, the warehouse characteristics are characteristics of the target warehouse itself, such as heat insulation performance of the warehouse, heat conduction coefficient of the building material, etc., and the value range can be quantified according to the actual situation. The greater 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 indexes such as ventilation volume and ventilation frequency, and the value range is also quantified according to the actual situation. The greater the value, the better the ventilation performance between the inside and outside of the target warehouse.

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

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

[0135]

[0136] Wherein, K1 is a first humidity influence coefficient, H1 is a first humidity, T1 is a first temperature, T0 is an ideal temperature, C is a warehouse characteristic, V1 is a first ventilation performance, a1 is a weight coefficient of the first humidity, b1 is a weight coefficient of the first temperature, g is a weight coefficient of the warehouse characteristic, d1 is a weight coefficient of the first ventilation performance, T max and T min are respectively a maximum value and a minimum value of temperature change in the area, which can be obtained according to historical data statistics.

[0137] Referring to Figure 7 In one of the embodiments of the present embodiment, step S503 includes steps S701 to S705 for obtaining the second humidity influence coefficient based on the second environment information.

[0138] Step S701: obtaining the second humidity and the second temperature corresponding to the target functional area and the second ventilation performance based on the second environment information.

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

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

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

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

[0143] Specifically, in the present embodiment, the preset layer number threshold is a judgment standard for selecting the second humidity influence coefficient acquisition method, and the target distance is the nearest distance between the target functional area and the warehouse roof.

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

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

[0146]

[0147] 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 weighting coefficient of the second humidity, β2 is the weighting 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 weighting 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 target barrier layer is greater than the preset layer number threshold, then obtain the second humidity influence coefficient based on the second humidity, the second temperature, and the second ventilation performance.

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

[0150]

[0151] Secondly, this application also discloses a warehouse humidity intelligent control system.

[0152] Reference Figure 8 A warehouse humidity intelligent control system, comprising:

[0153] The first acquisition module is used to acquire the functional distribution map of the target warehouse;

[0154] The second acquisition module is used to acquire the humidity requirements and current humidity of different functional areas based on the functional distribution map;

[0155] The judgment module is used to determine whether the current humidity meets the humidity requirements;

[0156] If the current humidity does not meet the humidity requirements, the solution generation module generates a humidity adjustment solution based on the current humidity and the humidity requirements.

[0157] The humidity control module is used to adjust the current humidity of the target warehouse based on the humidity control scheme.

[0158] Thirdly, this application discloses an intelligent terminal, including a memory and a processor. The memory stores a computer program that can run on the processor. When the processor loads the computer program, it executes a warehouse humidity intelligent adjustment method according to the above embodiment.

[0159] Fourthly, embodiments of this application disclose a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is loaded by a processor, it executes a warehouse humidity intelligent adjustment method according to the above embodiments.

[0160] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.

Claims

1. A method for intelligent humidity control in warehouses, characterized in that, include: Obtain the functional distribution map of the target warehouse; Based on the functional distribution map, obtain the humidity requirements and current humidity of different functional areas; Determine whether the current humidity meets the humidity requirement; If the current humidity does not meet the humidity requirement, then retrieve the historical adjustment records; Based on the current humidity and the humidity requirement, determine whether there is a target adjustment scheme; If the target adjustment scheme exists, a humidity adjustment scheme is generated based on the target adjustment scheme; If the target adjustment scheme does not exist, then 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, the first humidity and first temperature of the area where the target warehouse is located are obtained; Obtain the warehouse characteristics and first ventilation performance of the target warehouse; Based on the first humidity, the first temperature, the warehouse characteristics, and the first ventilation performance, a first humidity influence coefficient is obtained, which satisfies the following calculation formula: Where 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, and V1 is the first ventilation performance. The weighting factor for the first humidity level. The weighting coefficient for the first temperature. The weighting coefficients for warehouse characteristics. T is the weighting factor for the primary ventilation performance. max and T min These are the maximum and minimum values ​​of temperature change in the area where the target warehouse is located; Based on the second environmental information, the second humidity, second temperature, and second ventilation performance corresponding to the target functional area are obtained; 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 a preset layer threshold, then the target distance between the target functional area and the warehouse roof is obtained; Based on the target barrier layer, the target distance, the second humidity, the second temperature, and the second ventilation performance, a second humidity influence coefficient is obtained, which satisfies the following calculation formula: ； If the target barrier layer is greater than a preset layer number threshold, then a second humidity influence coefficient is obtained based on the second humidity, the second temperature, and the second ventilation performance. The second humidity influence coefficient satisfies the following calculation formula: Where K2 is the second humidity influence coefficient, H2 is the second humidity, T2 is the second temperature, and V2 is the second ventilation performance. This is the weighting factor for the second humidity level. This is the weighting coefficient for the second temperature. The coefficient representing the impact of the target barrier layer on the humidity of the target functional area. The coefficient representing the influence of target distance on humidity in the target functional area. , where L is the target number of barrier layers and D is the target distance; Based on the current humidity, the humidity requirement, the first humidity influence coefficient, and the second humidity influence coefficient, a humidity adjustment scheme is generated. Based on the humidity control scheme, the current humidity of the target warehouse is adjusted.

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

3. The intelligent humidity control method for warehouse storage according to claim 1, characterized in that, The step of determining whether a target adjustment scheme exists based on the current humidity and the humidity requirement includes: Based on the current humidity and the humidity requirement, determine the cause of the anomaly; Based on the stated cause of the anomaly, the current anomaly factors are identified; Based on the aforementioned historical adjustment records, historical abnormal factors are identified; Determine whether there is a match between the historical anomaly and the current anomaly; If a historical anomaly matches a current anomaly, then a target adjustment scheme is determined to exist.

4. A warehouse humidity intelligent control system, used to perform the method described in any one of claims 1-3, characterized in that, include: The first acquisition module is used to acquire the functional distribution map of the target warehouse; The second acquisition module is used to acquire the humidity requirements and current humidity of different functional areas based on the functional distribution map; The judgment module is used to determine whether the current humidity meets the humidity requirement; If the current humidity does not meet the humidity requirement, the solution generation module generates a humidity adjustment solution based on the current humidity and the humidity requirement. A humidity control module is used to adjust the current humidity of the target warehouse based on the humidity control scheme.

5. A smart terminal, comprising a memory and a processor, characterized in that, The memory is used to store computer programs that can run on the processor, and when the processor loads the computer program, it executes the method of any one of claims 1 to 3.

6. 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 of any one of claims 1 to 3.

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