CN113031670B - Warehouse humidity automatic control system based on big data - Google Patents
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Abstract
The invention discloses a warehouse humidity automatic control system based on big data, which is characterized by comprising the following components: the system comprises a data acquisition module, a data processing module, an adjusting control module and a data storage module, wherein the data acquisition module is used for acquiring data of two factors of storage materials influencing the humidity of a warehouse and the temperature of the warehouse; the data processing module is used for processing and analyzing the data of the storage material and the warehouse temperature which are collected in the data collecting module and affect the humidity of the warehouse. The invention not only can realize the automatic control of the humidity in the warehouse, but also can take into account the characteristics of the stored materials and the influence of the temperature in the warehouse, thereby regulating the humidity in the warehouse from multiple aspects and ensuring that the humidity in the warehouse meets the storage condition of the stored materials.
Description
Technical Field
The invention relates to the technical field of warehouse humidity management, in particular to a warehouse humidity automatic control system based on big data.
Background
With the development of industry, the needs of people are met, and the timeliness of people in use is considered, so that a factory can produce a plurality of products in advance, and store and manage the products in a unified manner, and a warehouse is needed. When the product is stored in the warehouse, some characteristics of the product per se need to be considered, and the temperature and the humidity in the warehouse are adjusted according to the characteristics, so that the long-time storage of the product is ensured, and the influence on the product is minimized.
The humidity adjusting system adopted in the current warehouse only simply controls the humidity on and off, and cannot automatically control according to the characteristics of the stored products.
In view of the above, there is a need for a warehouse humidity automatic control system based on big data, which not only can realize automatic control of humidity in a warehouse, but also can take into account the characteristics of stored materials and the influence of temperature in the warehouse, so as to adjust humidity in the warehouse from multiple aspects, thereby ensuring that the humidity in the warehouse meets the storage conditions of the stored materials.
Disclosure of Invention
The invention aims to provide a warehouse humidity automatic control system based on big data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an automatic control system for warehouse humidity based on big data, comprising: a data acquisition module, a data processing module, an adjustment control module and a data storage module,
the data acquisition module is used for acquiring data of two factors of storage materials influencing the humidity of the warehouse and the temperature of the warehouse;
the data processing module is used for processing and analyzing the data of the storage material and the warehouse temperature which are collected in the data collecting module and influence the humidity of the warehouse;
the adjustment control module is used for adjusting and controlling the humidity in the warehouse according to the final processing result of the data processing module;
the data storage module is used for storing the data generated in each module and regularly and automatically backing up the data;
the system also comprises a warehouse humidity automatic control method, which comprises the following steps:
s1, acquiring data of two factors, namely storage materials affecting the humidity of the warehouse and the temperature of the warehouse through a data acquisition module;
s2, in the data processing module, processing and analyzing the data of the storage material and the warehouse temperature which are collected in the data collection module and affect the humidity of the warehouse;
s3, in the adjusting control module, adjusting and controlling the humidity in the warehouse according to the final processing result of the data processing module;
and S4, storing the data generated in each module in the data storage module, and automatically backing up the data regularly.
According to the invention, the adjustment of the humidity in the warehouse is realized through the cooperative cooperation of all the modules, the data acquisition module is used for acquiring the data of all factors influencing the humidity in the warehouse, the acquired data is transmitted to the data processing module for data analysis and processing, the adjustment control module is used for adjusting and controlling the humidity in the warehouse according to the data acquired by the data processing module, and the automatic control of the humidity of the warehouse is realized through the process.
Further, in the influence of the storage materials on the humidity of the warehouse, the factors of the storage materials themselves need to be considered, including: a water absorption characteristic value b corresponding to the kind of the stored material, a ratio c of the storage area of each kind of material to the total storage area, the remaining time t for storing each kind of material, and a storage material regulation coefficient d,
the water absorption characteristic values corresponding to different storage materials are different,
according to the different types of storage goods and materials, the kind of goods and materials are numbered, namely: the substance type with the number n corresponds to the water absorption characteristic value bnThe ratio of the storage area of the kind material to the total storage area is cnThe remaining time of the kind of material to be stored is tn，
The method comprises the following steps of carrying out product operation on a water absorption characteristic value corresponding to a certain kind of material, the specific value of the storage area of the kind of material to the total storage area, the remaining time required to be stored of the kind of material and the adjustment coefficient of the storage material, accumulating the products obtained by different kinds of materials, and obtaining the sum of the influence value Q of the storage material on the humidity of the warehouse, namely:
in consideration of the influence of the stored materials on the humidity of the warehouse, the invention reasonably analyzes three factors, namely the water absorption characteristic value corresponding to the type of the stored materials, the ratio of the storage area of each type of materials to the total storage area and the remaining time of each type of materials to be stored, gives consideration to the total influence on the humidity of the warehouse caused by the numerical change of the three factors, and further needs to correspondingly adjust the humidity of the warehouse in order to better store the materials. The higher the water absorption characteristic value of the stored materials in the warehouse, the larger the ratio of the storage area of the materials to the total storage area, and the longer the remaining time for storing the materials, the larger the influence value of the stored materials on the humidity of the warehouse.
Furthermore, the warehouse temperature influences the humidity of the warehouse, and simultaneously the warehouse temperature is also influenced by the stored materials,
the standard temperature of the warehouse is a1, the influence coefficient of each unit temperature difference on the humidity of the warehouse is f,
the influence factors of the warehouse temperature on the stored materials comprise: optimum storage temperature e of various kinds of storage materials, ratio c of storage area of various kinds of materials to total storage area, remaining time t of various kinds of materials to be stored,
the most suitable storage temperature for the substance type n is enThe ratio of the storage area of the kind material to the total storage area is cnThe remaining time of the kind of material to be stored is tn，
The method for calculating the specific influence value W of the warehouse temperature on the warehouse humidity is as follows:
s1.1, respectively calculating a product ct of a ratio c of the storage area of each kind of materials to the total storage area and the remaining time t of the corresponding kind of materials to be stored;
s1.2, accumulating the ct values of the products obtained in the step S1.1;
s1.3, dividing the product ct corresponding to each type obtained in the step S1.1 by the accumulated sum obtained in the step S1.2, so as to obtain the ratio corresponding to each type of storage materials;
s1.4, multiplying the ratio corresponding to each type of storage materials in the step S1.3 by the optimum storage temperature e of the corresponding type of storage materials, and accumulating the products corresponding to each type of storage materials;
s1.5, calculating the difference value between the standard temperature a1 of the warehouse and the accumulated value obtained in the step S1.4, wherein the obtained difference value is the relative temperature difference of the warehouse temperature change;
s1.6, multiplying the relative temperature difference of the warehouse temperature change obtained in the step S1.5 by the influence coefficient f of each unit temperature difference on the warehouse humidity, wherein the obtained result is a specific influence value W of the warehouse temperature on the warehouse humidity, namely:
in the influence of the warehouse temperature on the warehouse humidity, the larger the relative temperature difference is, the larger the specific influence value of the warehouse temperature on the warehouse humidity is, and meanwhile, the relative temperature difference is related to four factors, namely the ratio of the storage area of various materials to the total storage area, the remaining time of the materials to be stored, the optimum storage temperature for storing the materials and the standard temperature of the warehouse, and the final result is influenced by the change of any one factor of the four factors. In step S1.4, in order to calculate the ratio of the storage time and area factors of each type of material to the total material, normally, we need to consider both the type of material with more material and the type with longer storage time, and the longer the storage time, we need to consider both the type, otherwise, the type is easy to deteriorate, and similarly, the more the types of material are stored, we need to consider both the type, otherwise, the loss is larger in the case of the type becoming bad, so we need to calculate the value of the product ct for both the factors, quantize the two factors by one value, and determine the final compatible direction by comparing the values; in step S1.4, the operation is performed to comprehensively consider various kinds of materials in the warehouse, and quantify the temperature value most suitable for storing all the materials, wherein the longer the time for storing a certain kind of materials, the higher the most suitable storage temperature, and the larger the ratio of the material storage area to the total storage area, the more the result of the obtained temperature value most suitable for storing all the materials is biased to the most suitable storage temperature of the certain kind of materials; in step S1.5, the temperature change is measured by calculating the relative temperature difference, and then the specific influence value of the temperature on the humidity can be obtained through the temperature change, and the standard temperature can be set as a reference to quantitatively measure the temperature change in the warehouse, so that the obtained result is more accurate.
Further, after the data processing module analyzes and processes the influence value Q of the storage material on the humidity of the warehouse and the influence value W of the temperature of the warehouse on the humidity of the warehouse, the data processing module, in combination with the standard humidity a2 of the warehouse, can calculate the relative humidity value R of the warehouse after adjustment, and obtain:
namely:
。
the data processing module of the invention collects the obtained influence value Q of the storage materials on the humidity of the warehouse and the influence value W of the temperature of the warehouse on the humidity of the warehouse, and then calculates the relative humidity value R of the warehouse after adjustment by referring to the standard humidity a2 of the warehouse, thereby carrying out specific quantification on the adjustment of the humidity of the warehouse.
Further, after the data processing module analyzes and obtains the relative humidity value R of the warehouse after adjustment, the humidity condition outside the warehouse needs to be considered, that is, the absolute value of the difference between the relative humidity value R of the warehouse after adjustment and the humidity value R1 outside the warehouse is calculated through the humidity value R1 outside the warehouse obtained by the data acquisition module
Then, the obtained absolute value
Comparing with the first preset value, and according to the difference of the comparison result, obtaining the relative humidity value R3 after the warehouse is actually adjusted under different conditions,
if it is
When the relative humidity of the warehouse is smaller than the first preset value, the difference value between the relative humidity of the regulated warehouse and the humidity outside the warehouse is in a specified range, the data is normal, and the value of R is assigned to R3;
if it is
When the relative humidity is larger than or equal to the first preset value, the difference value between the relative humidity of the warehouse after adjustment and the humidity outside the warehouse is too large, the load on the equipment corresponding to the adjustment control module is too large, the value of the relative humidity R of the warehouse after adjustment needs to be limited,
when R is greater than R1, the defined value
And the value of R2 is assigned to R3,
if R is less than R1, the defined value
And the value of R2 is assigned to R3.
The absolute value of the difference between the regulated relative humidity value R of the warehouse and the humidity value R1 outside the warehouse is considered in the data processing module of the invention
In order to give consideration to the humidity adjusting equipment in the warehouse, if the difference between the indoor humidity and the outdoor humidity is too large, the working time of the humidity adjusting equipment in the warehouse is long, and the service life of the equipment is affected, so that the equipment factors need to be also given consideration to the requirement, and the humidity of the warehouse is appropriately adjusted. The reason why the absolute value is used to calculate the humidity difference between the inside and outside of the warehouse is that no matter whether the humidity inside the warehouse is higher than the humidity outside the warehouse or not, when the humidity difference is too large, a load is generated when the humidity of the equipment is adjusted, and therefore, the adjusted humidity value needs to be limited, and when the relative humidity inside the warehouse is higher than the humidity outside the warehouse, the limited value is obtained
The humidity in the warehouse and the load condition of the equipment can be considered at the same time, so that the humidity in the warehouse is regulated, and the normal operation of the equipment is ensured.
Furthermore, the size of the first preset value in the data processing module is variable,
the first preset value is influenced by the performance of equipment corresponding to the adjusting control module, the better the performance of the equipment corresponding to the adjusting control module is, and the stronger the corresponding adjusting capacity on humidity is, the larger the first preset value is; conversely, the smaller the first preset value.
Further, the adjusting control module receives the data analyzed by the data processing module, adjusts the humidity in the warehouse to R3 during each adjustment,
the data acquisition module acquires data in real time, the data processing module processes and analyzes the data acquired by the data acquisition module in real time, but the adjusting control module does not adjust the humidity in the warehouse in real time,
setting the value of the adjustment error to a second preset value,
calculating the absolute value of the difference value between the R3 and the current humidity of the warehouse acquired by the data acquisition module
，
When in use
When the humidity is larger than or equal to a second preset value, the adjusting control module starts to adjust the humidity in the warehouse;
when in use
When the humidity in the warehouse is smaller than a second preset value, the adjusting control module does not adjust the humidity in the warehouse;
the second preset value is variable, the precision and the frequency of the adjustment of the warehouse humidity by the adjustment control module are directly affected by the size of the second preset value, the smaller the second preset value is, the higher the frequency of the adjustment of the warehouse humidity by the adjustment control module is,
the regulation control module limits the size of the second preset value,
counting the adjusting times of the adjusting control module in the first unit time on the humidity in the warehouse, comparing the adjusting times with a third preset value and a fourth preset value,
when the number of times of adjustment is less than or equal to a third preset value, the second preset value needs to be limited and adjusted, the adjusted second preset value = the second preset value + a fifth preset value,
when the adjusting times are more than the third preset value and less than the fourth preset value, the data are normal, the size of the second preset value is not adjusted,
and when the adjusting times are larger than or equal to a fourth preset value, limiting and adjusting the second preset value, wherein the adjusted second preset value = the second preset value to a fifth preset value.
The regulation control module of the invention judges
And the second threshold value is regulated, so that whether the humidity in the warehouse is regulated or not is determined, the humidity regulating equipment in the warehouse does not need to be started all the time, the load of the equipment is reduced, the regulating frequency of the humidity regulating equipment in the warehouse in unit time can be controlled by regulating the second threshold value, the higher the regulating frequency is, the more accurate the control of the humidity in the warehouse is, but the larger the load generated by the equipment is, so that the control of the second threshold value is required, and the two aspects of the humidity control accuracy in the warehouse and the load generated by the equipment are comprehensively considered, and the balance is realized.
Further, the third preset value, the fourth preset value and the fifth preset value are all fixed constants,
the third preset value is smaller than the fourth preset value, and the fifth preset value is smaller than the second preset value.
Compared with the prior art, the invention has the following beneficial effects: the invention not only can realize the automatic control of the humidity in the warehouse, but also can take into account the characteristics of the stored materials and the influence of the temperature in the warehouse, thereby regulating the humidity in the warehouse from multiple aspects and ensuring that the humidity in the warehouse meets the storage condition of the stored materials.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the automatic control system for humidity of warehouse based on big data according to the present invention;
FIG. 2 is a schematic flow chart of the data processing module of the automatic warehouse humidity control system based on big data to determine the specific influence value of the warehouse temperature on the warehouse humidity according to the present invention;
FIG. 3 is a schematic flow chart of the adjusted humidity of the warehouse finally given by the data processing module of the automatic warehouse humidity control system based on big data according to the present invention;
fig. 4 is a schematic flow chart of a regulation control module of the warehouse humidity automatic control system based on big data according to the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, the present invention provides a technical solution: an automatic control system for warehouse humidity based on big data, comprising: a data acquisition module, a data processing module, an adjustment control module and a data storage module,
the data acquisition module is used for acquiring data of two factors of storage materials influencing the humidity of the warehouse and the temperature of the warehouse;
the data processing module is used for processing and analyzing the data of the storage material and the warehouse temperature which are collected in the data collecting module and influence the humidity of the warehouse;
the adjustment control module is used for adjusting and controlling the humidity in the warehouse according to the final processing result of the data processing module;
the data storage module is used for storing the data generated in each module and regularly and automatically backing up the data;
the system also comprises a warehouse humidity automatic control method, which comprises the following steps:
s1, acquiring data of two factors, namely storage materials affecting the humidity of the warehouse and the temperature of the warehouse through a data acquisition module;
s2, in the data processing module, processing and analyzing the data of the storage material and the warehouse temperature which are collected in the data collection module and affect the humidity of the warehouse;
s3, in the adjusting control module, adjusting and controlling the humidity in the warehouse according to the final processing result of the data processing module;
and S4, storing the data generated in each module in the data storage module, and automatically backing up the data regularly.
According to the invention, the adjustment of the humidity in the warehouse is realized through the cooperative cooperation of all the modules, the data acquisition module is used for acquiring the data of all factors influencing the humidity in the warehouse, the acquired data is transmitted to the data processing module for data analysis and processing, the adjustment control module is used for adjusting and controlling the humidity in the warehouse according to the data acquired by the data processing module, and the automatic control of the humidity of the warehouse is realized through the process.
In the influence of the storage materials on the humidity of the warehouse, the factors of the storage materials need to be considered, including: a water absorption characteristic value b corresponding to the kind of the stored material, a ratio c of the storage area of each kind of material to the total storage area, the remaining time t for storing each kind of material, and a storage material regulation coefficient d,
the water absorption characteristic values corresponding to different storage materials are different,
according to the different types of storage goods and materials, the kind of goods and materials are numbered, namely: the substance type with the number n corresponds to the water absorption characteristic value bnThe ratio of the storage area of the kind material to the total storage area is cnThe remaining time of the kind of material to be stored is tn，
The method comprises the following steps of carrying out product operation on a water absorption characteristic value corresponding to a certain kind of material, the specific value of the storage area of the kind of material to the total storage area, the remaining time required to be stored of the kind of material and the adjustment coefficient of the storage material, accumulating the products obtained by different kinds of materials, and obtaining the sum of the influence value Q of the storage material on the humidity of the warehouse, namely:
in consideration of the influence of the stored materials on the humidity of the warehouse, the invention reasonably analyzes three factors, namely the water absorption characteristic value corresponding to the type of the stored materials, the ratio of the storage area of each type of materials to the total storage area and the remaining time of each type of materials to be stored, gives consideration to the total influence on the humidity of the warehouse caused by the numerical change of the three factors, and further needs to correspondingly adjust the humidity of the warehouse in order to better store the materials. The higher the water absorption characteristic value of the stored materials in the warehouse, the larger the ratio of the storage area of the materials to the total storage area, and the longer the remaining time for storing the materials, the larger the influence value of the stored materials on the humidity of the warehouse.
The warehouse of the embodiment has A, B two materials, the adjusting coefficient of the stored materials is 0.1,
if the corresponding water absorption characteristic value of the A material is 10%, the ratio of the storage area of the A material to the total storage area is
The remaining time of the material of the kind needing to be stored is 8 hours,
if the corresponding water absorption characteristic value of the A material is 8 percent, the ratio of the storage area of the material to the total storage area is
The remaining time of the material of the kind to be stored is 4 hours,
then
。
The influence of the warehouse temperature on the humidity of the warehouse and the influence of the stored materials on the warehouse temperature,
the standard temperature of the warehouse is a1, the influence coefficient of each unit temperature difference on the humidity of the warehouse is f,
the influence factors of the warehouse temperature on the stored materials comprise: optimum storage temperature e of various kinds of storage materials, ratio c of storage area of various kinds of materials to total storage area, remaining time t of various kinds of materials to be stored,
the most suitable storage temperature for the substance type n is enThe ratio of the storage area of the kind material to the total storage area is cnThe remaining time of the kind of material to be stored is tn，
The method for calculating the specific influence value W of the warehouse temperature on the warehouse humidity is as follows:
s1.1, respectively calculating a product ct of a ratio c of the storage area of each kind of materials to the total storage area and the remaining time t of the corresponding kind of materials to be stored;
s1.2, accumulating the ct values of the products obtained in the step S1.1;
s1.3, dividing the product ct corresponding to each type obtained in the step S1.1 by the accumulated sum obtained in the step S1.2, so as to obtain the ratio corresponding to each type of storage materials;
s1.4, multiplying the ratio corresponding to each type of storage materials in the step S1.3 by the optimum storage temperature e of the corresponding type of storage materials, and accumulating the products corresponding to each type of storage materials;
s1.5, calculating the difference value between the standard temperature a1 of the warehouse and the accumulated value obtained in the step S1.4, wherein the obtained difference value is the relative temperature difference of the warehouse temperature change;
s1.6, multiplying the relative temperature difference of the warehouse temperature change obtained in the step S1.5 by the influence coefficient f of each unit temperature difference on the warehouse humidity, wherein the obtained result is a specific influence value W of the warehouse temperature on the warehouse humidity, namely:
in the influence of the warehouse temperature on the warehouse humidity, the larger the relative temperature difference is, the larger the specific influence value of the warehouse temperature on the warehouse humidity is, and meanwhile, the relative temperature difference is related to four factors, namely the ratio of the storage area of various materials to the total storage area, the remaining time of the materials to be stored, the optimum storage temperature for storing the materials and the standard temperature of the warehouse, and the final result is influenced by the change of any one factor of the four factors. In step S1.4, in order to calculate the ratio of the storage time and area factors of each type of material to the total material, normally, we need to consider both the type of material with more material and the type with longer storage time, and the longer the storage time, we need to consider both the type, otherwise, the type is easy to deteriorate, and similarly, the more the types of material are stored, we need to consider both the type, otherwise, the loss is larger in the case of the type becoming bad, so we need to calculate the value of the product ct for both the factors, quantize the two factors by one value, and determine the final compatible direction by comparing the values; in step S1.4, the operation is performed to comprehensively consider various kinds of materials in the warehouse, and quantify the temperature value most suitable for storing all the materials, wherein the longer the time for storing a certain kind of materials, the higher the most suitable storage temperature, and the larger the ratio of the material storage area to the total storage area, the more the result of the obtained temperature value most suitable for storing all the materials is biased to the most suitable storage temperature of the certain kind of materials; in step S1.5, the temperature change is measured by calculating the relative temperature difference, and then the specific influence value of the temperature on the humidity can be obtained through the temperature change, and the standard temperature can be set as a reference to quantitatively measure the temperature change in the warehouse, so that the obtained result is more accurate.
The warehouse of the embodiment has C, D two materials, the standard temperature of the warehouse is 25 ℃, the influence coefficient of each unit temperature difference on the humidity of the warehouse is f,
if the corresponding optimum storage temperature of the C material is 27 ℃, the ratio of the storage area of the material to the total storage area is
The remaining time of the material of the kind to be stored is 12 hours,
if the corresponding optimum storage temperature of the D material is 20 ℃, the ratio of the storage area of the material to the total storage area is
The remaining time of the material of the kind to be stored is 7 hours,
the sum of the product of the ratio of the storage area of each kind of material to the total storage area and the remaining time of the corresponding kind of material to be stored is
，
The relative temperature difference of the temperature change of the warehouse is
，
Specific influence value of warehouse temperature on warehouse humidity
。
After the data processing module analyzes and processes the influence value Q of the storage materials on the humidity of the warehouse and the influence value W of the temperature of the warehouse on the humidity of the warehouse, the data processing module can calculate the relative humidity value R of the warehouse after adjustment by combining the standard humidity a2 of the warehouse, and the data processing module obtains:
namely:
。
the data processing module of the invention collects the obtained influence value Q of the storage materials on the humidity of the warehouse and the influence value W of the temperature of the warehouse on the humidity of the warehouse, and then calculates the relative humidity value R of the warehouse after adjustment by referring to the standard humidity a2 of the warehouse, thereby carrying out specific quantification on the adjustment of the humidity of the warehouse.
After the data processing module analyzes and obtains the relative humidity value R of the warehouse after adjustment, the humidity condition outside the warehouse also needs to be considered, namely the absolute value of the difference value between the relative humidity value R of the warehouse after adjustment and the humidity value R1 outside the warehouse is calculated through the humidity value R1 outside the warehouse obtained by the data acquisition module
Then, the obtained absolute value
Comparing with the first preset value, and according to the difference of the comparison result, obtaining the relative humidity value R3 after the warehouse is actually adjusted under different conditions,
if it is
When the relative humidity of the warehouse is smaller than the first preset value, the difference value between the relative humidity of the regulated warehouse and the humidity outside the warehouse is in a specified range, the data is normal, and the value of R is assigned to R3;
if it is
When the relative humidity is larger than or equal to the first preset value, the difference value between the relative humidity of the warehouse after adjustment and the humidity outside the warehouse is too large, the load on the equipment corresponding to the adjustment control module is too large, the value of the relative humidity R of the warehouse after adjustment needs to be limited,
when R is greater than R1, the defined value
And the value of R2 is assigned to R3,
if R is less than R1, the defined value
And the value of R2 is assigned to R3.
Data processing of the inventionThe absolute value of the difference between the adjusted relative humidity value R of the warehouse and the humidity value R1 outside the warehouse is considered in the physical module
In order to give consideration to the humidity adjusting equipment in the warehouse, if the difference between the indoor humidity and the outdoor humidity is too large, the working time of the humidity adjusting equipment in the warehouse is long, and the service life of the equipment is affected, so that the equipment factors need to be also given consideration to the requirement, and the humidity of the warehouse is appropriately adjusted. The reason why the absolute value is used to calculate the humidity difference between the inside and outside of the warehouse is that no matter whether the humidity inside the warehouse is higher than the humidity outside the warehouse or not, when the humidity difference is too large, a load is generated when the humidity of the equipment is adjusted, and therefore, the adjusted humidity value needs to be limited, and when the relative humidity inside the warehouse is higher than the humidity outside the warehouse, the limited value is obtained
The humidity in the warehouse and the load condition of the equipment can be considered at the same time, so that the humidity in the warehouse is regulated, and the normal operation of the equipment is ensured.
The first preset value in this example is 5%, the humidity outside the warehouse is 56%,
if the relative humidity after warehouse conditioning is 53%, because
If the relative humidity of the warehouse is less than 5%, the difference value between the relative humidity after the warehouse is adjusted and the humidity outside the warehouse is within a specified range, the data is normal, and the value of R3 is 53%;
if the relative humidity of the conditioned warehouse is 50%, because
Greater than 5% and 50% less than 56%, the defined value
R3 has a value of 51%;
if the relative humidity after warehouse conditioning is 61%, because
Equal to 5% and 62% greater than 56%, the defined value
And the value of R3 was 61%.
The size of the first preset value in the data processing module is variable,
the first preset value is influenced by the performance of equipment corresponding to the adjusting control module, the better the performance of the equipment corresponding to the adjusting control module is, and the stronger the corresponding adjusting capacity on humidity is, the larger the first preset value is; conversely, the smaller the first preset value.
The adjusting control module receives the data analyzed by the data processing module, adjusts the humidity in the warehouse to R3 during each adjustment,
the data acquisition module acquires data in real time, the data processing module processes and analyzes the data acquired by the data acquisition module in real time, but the adjusting control module does not adjust the humidity in the warehouse in real time,
setting the value of the adjustment error to a second preset value,
calculating the absolute value of the difference value between the R3 and the current humidity of the warehouse acquired by the data acquisition module
，
When in use
When the humidity is larger than or equal to a second preset value, the adjusting control module starts to adjust the humidity in the warehouse;
when in use
When the humidity in the warehouse is smaller than a second preset value, the adjusting control module does not adjust the humidity in the warehouse;
the second preset value is variable, the precision and the frequency of the adjustment of the warehouse humidity by the adjustment control module are directly affected by the size of the second preset value, the smaller the second preset value is, the higher the frequency of the adjustment of the warehouse humidity by the adjustment control module is,
the regulation control module limits the size of the second preset value,
counting the adjusting times of the adjusting control module in the first unit time on the humidity in the warehouse, comparing the adjusting times with a third preset value and a fourth preset value,
when the number of times of adjustment is less than or equal to a third preset value, the second preset value needs to be limited and adjusted, the adjusted second preset value = the second preset value + a fifth preset value,
when the adjusting times are more than the third preset value and less than the fourth preset value, the data are normal, the size of the second preset value is not adjusted,
and when the adjusting times are larger than or equal to a fourth preset value, limiting and adjusting the second preset value, wherein the adjusted second preset value = the second preset value to a fifth preset value.
The regulation control module of the invention judges
And the second threshold value is regulated, so that whether the humidity in the warehouse is regulated or not is determined, the humidity regulating equipment in the warehouse does not need to be started all the time, the load of the equipment is reduced, the regulating frequency of the humidity regulating equipment in the warehouse in unit time can be controlled by regulating the second threshold value, the higher the regulating frequency is, the more accurate the control of the humidity in the warehouse is, but the larger the load generated by the equipment is, so that the control of the second threshold value is required, and the two aspects of the humidity control accuracy in the warehouse and the load generated by the equipment are comprehensively considered, and the balance is realized.
The third preset value, the fourth preset value and the fifth preset value are all fixed constants,
the third preset value is smaller than the fourth preset value, and the fifth preset value is smaller than the second preset value.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. An automatic control system for humidity of a warehouse based on big data is characterized by comprising: a data acquisition module, a data processing module, an adjustment control module and a data storage module,
the data acquisition module is used for acquiring data of two factors of storage materials influencing the humidity of the warehouse and the temperature of the warehouse;
the data processing module is used for processing and analyzing the data of the storage material and the warehouse temperature which are collected in the data collecting module and influence the humidity of the warehouse;
the adjustment control module is used for adjusting and controlling the humidity in the warehouse according to the final processing result of the data processing module;
the data storage module is used for storing the data generated in each module and regularly and automatically backing up the data;
the system also comprises a warehouse humidity automatic control method, which comprises the following steps:
s1, acquiring data of two factors, namely storage materials affecting the humidity of the warehouse and the temperature of the warehouse through a data acquisition module;
s2, in the data processing module, processing and analyzing the data of the storage material and the warehouse temperature which are collected in the data collection module and affect the humidity of the warehouse;
s3, in the adjusting control module, adjusting and controlling the humidity in the warehouse according to the final processing result of the data processing module;
s4, storing the data generated in each module in the data storage module, and automatically backing up the data periodically;
in the influence of the storage materials on the humidity of the warehouse, the factors of the storage materials need to be considered, including: a water absorption characteristic value b corresponding to the kind of the stored material, a ratio c of the storage area of each kind of material to the total storage area, the remaining time t for storing each kind of material, and a storage material regulation coefficient d,
the water absorption characteristic values corresponding to different storage materials are different,
according to the different types of storage goods and materials, the kind of goods and materials are numbered, namely: the material type with the number n corresponds to the water absorption characteristic value bnThe ratio of the storage area of the kind material to the total storage area is cnThe remaining time of the kind of material to be stored is tn，
The method comprises the following steps of carrying out product operation on a water absorption characteristic value corresponding to a certain kind of material, the specific value of the storage area of the kind of material to the total storage area, the remaining time required to be stored of the kind of material and the adjustment coefficient of the storage material, accumulating the products obtained by different kinds of materials, and obtaining the sum of the influence value Q of the storage material on the humidity of the warehouse, namely:
2. The big-data-based automatic warehouse humidity control system according to claim 1, wherein: the influence of the warehouse temperature on the humidity of the warehouse and the influence of the stored materials on the warehouse temperature,
the standard temperature of the warehouse is a1, the influence coefficient of each unit temperature difference on the humidity of the warehouse is f,
the influence factors of the warehouse temperature on the stored materials comprise: optimum storage temperature for various storage materials
The ratio c of the storage area of each kind of material to the total storage area, the remaining time t for storing each kind of material,
the material type with the number n corresponds to the optimum storage temperature enThe ratio of the storage area of the kind material to the total storage area is cnThe remaining time of the kind of material to be stored is tn，
The method for calculating the specific influence value W of the warehouse temperature on the warehouse humidity is as follows:
s1.1, respectively calculating a product ct of a ratio c of the storage area of each kind of materials to the total storage area and the remaining time t of the corresponding kind of materials to be stored;
s1.2, accumulating the ct values of the products obtained in the step S1.1;
s1.3, dividing the product ct corresponding to each type obtained in the step S1.1 by the accumulated sum obtained in the step S1.2, so as to obtain the ratio corresponding to each type of storage materials;
s1.4, multiplying the ratio corresponding to each type of storage materials in the step S1.3 by the optimum storage temperature e of the corresponding type of storage materials, and accumulating the products corresponding to each type of storage materials;
s1.5, calculating the difference value between the standard temperature a1 of the warehouse and the accumulated value obtained in the step S1.4, wherein the obtained difference value is the relative temperature difference of the warehouse temperature change;
s1.6, multiplying the relative temperature difference of the warehouse temperature change obtained in the step S1.5 by the influence coefficient f of each unit temperature difference on the warehouse humidity, wherein the obtained result is a specific influence value W of the warehouse temperature on the warehouse humidity, namely:
3. the big-data-based automatic warehouse humidity control system according to claim 2, wherein: after the data processing module analyzes and processes the influence value Q of the storage materials on the humidity of the warehouse and the influence value W of the temperature of the warehouse on the humidity of the warehouse, the data processing module can calculate the relative humidity value R of the warehouse after adjustment by combining the standard humidity a2 of the warehouse, and the data processing module obtains:
namely:
4. the big-data-based automatic warehouse humidity control system according to claim 3, wherein: after the data processing module analyzes and obtains the relative humidity value R of the warehouse after adjustment, the humidity condition outside the warehouse also needs to be considered, namely the absolute value of the difference value between the relative humidity value R of the warehouse after adjustment and the humidity value R1 outside the warehouse is calculated through the humidity value R1 outside the warehouse obtained by the data acquisition module
Then, the obtained absolute value
Comparing with the first preset value, and according to the difference of the comparison result, obtaining the relative humidity value R3 after the warehouse is actually adjusted under different conditions,
if it is
When the relative humidity of the warehouse is smaller than the first preset value, the difference value between the relative humidity of the regulated warehouse and the humidity outside the warehouse is in a specified range, the data is normal, and the value of R is assigned to R3;
if it is
When the relative humidity is larger than or equal to the first preset value, the difference value between the relative humidity of the warehouse after adjustment and the humidity outside the warehouse is too large, the load on the equipment corresponding to the adjustment control module is too large, the value of the relative humidity R of the warehouse after adjustment needs to be limited,
when R is greater than R1, the defined value
And the value of R2 is assigned to R3,
if R is less than R1, the defined value
And the value of R2 is assigned to R3.
5. The big-data-based automatic warehouse humidity control system according to claim 4, wherein: the size of the first preset value in the data processing module is variable,
the first preset value is influenced by the performance of equipment corresponding to the adjusting control module, the better the performance of the equipment corresponding to the adjusting control module is, and the stronger the corresponding adjusting capacity on humidity is, the larger the first preset value is; conversely, the smaller the first preset value.
6. The big-data-based automatic warehouse humidity control system according to claim 4, wherein: the adjusting control module receives the data analyzed by the data processing module, adjusts the humidity in the warehouse to R3 during each adjustment,
the data acquisition module acquires data in real time, the data processing module processes and analyzes the data acquired by the data acquisition module in real time, but the adjusting control module does not adjust the humidity in the warehouse in real time,
setting the value of the adjustment error to a second preset value,
calculating the absolute value of the difference value between the R3 and the current humidity of the warehouse acquired by the data acquisition module
，
When in use
When the humidity is larger than or equal to a second preset value, the adjusting control module starts to adjust the humidity in the warehouse;
when in use
When the humidity in the warehouse is smaller than a second preset value, the adjusting control module does not adjust the humidity in the warehouse;
the second preset value is variable, the precision and the frequency of the adjustment of the warehouse humidity by the adjustment control module are directly affected by the size of the second preset value, the smaller the second preset value is, the higher the frequency of the adjustment of the warehouse humidity by the adjustment control module is,
the regulation control module limits the size of the second preset value,
counting the adjusting times of the adjusting control module in the first unit time on the humidity in the warehouse, comparing the adjusting times with a third preset value and a fourth preset value,
when the number of times of adjustment is less than or equal to a third preset value, the second preset value needs to be limited and adjusted, the adjusted second preset value = the second preset value + a fifth preset value,
when the adjusting times are more than the third preset value and less than the fourth preset value, the data are normal, the size of the second preset value is not adjusted,
and when the adjusting times are larger than or equal to a fourth preset value, limiting and adjusting the second preset value, wherein the adjusted second preset value = the second preset value to a fifth preset value.
7. The big-data-based automatic warehouse humidity control system according to claim 6, wherein: the third preset value, the fourth preset value and the fifth preset value are all fixed constants,
the third preset value is smaller than the fourth preset value, and the fifth preset value is smaller than the second preset value.
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