Intelligent temperature and humidity control system for factory planting of morchella esculenta

Abstract

The invention discloses an intelligent temperature and humidity control system for factory planting of morchella esculenta, relates to the technical field of intelligent regulation and control, and aims to solve the problem of yield reduction caused by influence difference of morchella esculenta on temperature and humidity interaction in different stages. Obtaining a standard temperature value and a standard humidity value of each growth stage of the morchella, counting the area ratio of the morchella in different growth stages in each divided region, and detecting the growth speed and the death ratio of the morchella in different growth stages in each divided region; calculating the regional temperature sensitivity and the regional humidity sensitivity of each divided region by using a logistic regression method, analyzing the temperature and humidity balance condition of the planting region, determining the temperature or humidity of the planting region, and selecting a temperature and humidity regulation sequence; and the temperature or humidity of the planting area is adjusted by integrating the area temperature sensitivity or the area humidity sensitivity and the temperature and humidity balance condition of each divided area.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent regulation, and more specifically, to an intelligent temperature and humidity control system for the industrialized cultivation of Morchella esculenta. Background Art

[0002] Intelligent regulation technology refers to the use of advanced technical means and equipment to automatically or semi-automatically adjust system parameters to achieve efficient, precise, and flexible control. When intelligent regulation technology is applied to the temperature and humidity control in the cultivation of Morchella esculenta, it can improve the yield while ensuring the quality of Morchella esculenta.

[0003] The existing technology has the following deficiencies: Morchella esculenta is extremely sensitive to the environmental temperature and has relatively high requirements for environmental humidity. The temperature and humidity requirements for the environment are also different in different growth stages of Morchella esculenta. Since the suitable temperature range for Morchella esculenta is very short and the temperature and humidity sensitivities of Morchella esculenta in different growth stages are different, when the interaction between temperature and humidity is large, it will cause abnormal growth of Morchella esculenta in some growth stages, thereby reducing the quality and yield. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the existing technology, the embodiments of the present invention provide an intelligent temperature and humidity control system for the industrialized cultivation of Morchella esculenta. By dividing the cultivation area and the growth stages of Morchella esculenta, analyzing the temperature and humidity sensitivities of different growth stages of Morchella esculenta in each divided area according to the proportion of Morchella esculenta in different growth stages in each divided area, and obtaining the overall temperature and humidity sensitivity of the cultivation area, calculating the temperature and humidity balance value to reduce the temperature and humidity sensitivity differences of Morchella esculenta in different growth stages to solve the problems raised in the above background art.

[0005] To achieve the above object, the present invention provides the following technical solutions: An intelligent temperature and humidity control system for the industrialized cultivation of Morchella esculenta, comprising a data division module, a data acquisition module, a balance analysis module, and an environmental regulation module; The data division module is used to divide the cultivation area and divide the growth stages of Morchella esculenta, and transmit each divided area and the growth stages of Morchella esculenta to the data acquisition module; The data acquisition module is used to obtain the standard temperature value and standard humidity value of each growth stage of Morchella esculenta, count the area proportion of different growth stages of Morchella esculenta in each divided area, and detect the growth rate and death ratio of different growth stages of Morchella esculenta in each divided area; The balance analysis module calculates the temperature sensitivity of the corresponding divided area by using the standard temperature values at different growth stages of Morchella, the area proportion of Morchella at different growth stages in each divided area, and the growth rate; calculates the humidity sensitivity of the corresponding divided area by using the standard humidity values at different growth stages of Morchella, the area proportion of Morchella at different growth stages in each divided area, and the death ratio; analyzes the temperature and humidity balance of the planting area according to the temperature sensitivity and humidity sensitivity of each divided area; The environmental control module calculates the temperature difference coefficient and humidity difference coefficient by using the growth rate and death ratio of each divided area for comparison, selects the temperature and humidity control sequence according to the comparison result, and adjusts the temperature or humidity of the planting area by integrating the temperature sensitivity or humidity sensitivity of the marked area and the temperature and humidity balance situation.

[0006] In a preferred embodiment, the data acquisition module accesses the academic database to obtain the standard temperature range and standard humidity range at different growth stages of Morchella, obtains the full view of the Morchella planting area through remote sensing technology, compares the image features at different growth stages in the Morchella image library, discriminates the growth stages of Morchella in each divided area, and obtains the area proportion of Morchella at different growth stages in the divided area; marks and distinguishes the positions of Morchella at different growth stages in each divided area.

[0007] In a preferred embodiment, when the data acquisition module obtains the growth rate of Morchella at different growth stages in each divided area, two time points are selected as the growth rate detection points. The sizes of Morchella at different marked positions in the divided area are detected at the two growth rate detection points, the size difference of Morchella at the two growth rate detection points in the same marked position is calculated, the size differences of Morchella at the same marked position in different divided areas are combined into a size data set and the average value is calculated as the speed judgment value corresponding to the mark, and the ratio of the size of Morchella at the marked position in each divided area to the speed judgment value corresponding to the mark is used as the growth rate of Morchella at the corresponding marked growth stage in the divided area; When the data acquisition module obtains the death ratio of Morchella at different growth stages in each divided area, a random time point is selected as the death detection time point. The death number and total number of Morchella at different marked positions in each divided area are detected at the death detection time point, and the ratio of the death number to the total number of Morchella at the same marked position in each divided area is used as the death ratio of Morchella at the corresponding marked growth stage.

[0008] In a preferred embodiment, the balance analysis module performs weighted summation on the area proportion of Morchella at different growth stages in the divided area and the standard temperature value or standard humidity value at the corresponding growth stage to obtain the regional temperature optimum value and regional humidity optimum value of the corresponding divided area; The weighted average of the area ratios of different growth stages of Morchella in the divided area and the growth rate or death ratio of the corresponding growth stage is calculated respectively to obtain the average regional growth rate or average regional death ratio of the corresponding divided area; The ratio of the regional temperature optimum value of the divided area to the average value of the regional temperature optimum values of all divided areas is used as the temperature optimum ratio of the corresponding divided area, and the ratio of the regional humidity optimum value of the divided area to the average value of the regional humidity optimum values of all divided areas is used as the humidity optimum ratio of the corresponding divided area; The ratio of the average regional growth rate of the divided area to the maximum value of the average regional growth rates of all divided areas is used as the regional growth rate ratio of the corresponding divided area, and the ratio of the average regional death ratio of the divided area to the maximum value of the average regional death ratios of all divided areas is used as the regional death rate ratio of the corresponding divided area.

[0009] In a preferred embodiment, the temperature sensitivity of each divided area is analyzed and quantified by using the temperature optimum ratio and the regional growth rate ratio of each divided area. The specific steps are as follows: The absolute value of the difference between the temperature optimum ratio of the divided area and 1 is taken as the temperature optimum difference. The smaller the temperature optimum difference, the closer the temperature optimum ratio of the divided area is to 1. The temperature sensitivity is analyzed by using the temperature optimum difference of the divided area and the regional growth rate ratio with the logistic regression method: , where e is the natural base, C is the temperature sensitivity coefficient of the divided area, z is the linear combination of input features and z is the result of the difference between the temperature optimum difference of the corresponding divided area and the regional growth rate ratio; Similarly, the humidity sensitivity of each divided area is analyzed and quantified by using the humidity optimum ratio and the regional death rate ratio of each divided area to obtain the humidity sensitivity coefficient of the divided area; among them, the linear combination of input features is replaced by the sum result of the humidity optimum difference of the corresponding divided area and the regional death rate ratio.

[0010] In a preferred embodiment, the average value of the temperature sensitivity coefficients of all divided areas is calculated as the average temperature sensitivity of the planting area; the average value of the humidity sensitivity coefficients of all divided areas is calculated as the average humidity sensitivity of the planting area; The average temperature sensitivity of the planting area and the average humidity sensitivity of the planting area are summed to obtain the temperature-humidity balance value of the current planting area.

[0011] In a preferred embodiment, before determining the temperature or humidity of the planting area, the environmental control module selects the divided area with the largest average regional growth rate and the divided area with the smallest average regional death ratio from all divided areas as alternative area A and alternative area B respectively.

[0012] In a preferred embodiment, the temperature difference coefficient of the planting area is obtained by subtracting the average value of the regional growth rate in the alternative area A from the median of the average values of the regional growth rates of all divided areas; The humidity difference coefficient of the planting area is obtained by subtracting the average value of the regional death ratio in the alternative area B from the median of the average values of the regional death ratios of all divided areas; When the temperature difference coefficient of the planting area is less than the humidity difference coefficient, first regulate the temperature of the planting area, and then regulate the humidity of the planting area; When the temperature difference coefficient of the planting area is greater than the humidity difference coefficient, first regulate the humidity of the planting area, and then regulate the humidity of the planting area.

[0013] In a preferred embodiment, when the temperature difference coefficient of the planting area is less than the humidity difference coefficient, the optimal regional temperature of the alternative area A is used as the planting area temperature, and the sensitivity difference is obtained by subtracting the regional temperature sensitivity in the alternative area A from the average regional temperature sensitivity. The humidity difference is calculated through a conversion formula in combination with a preset empirical conversion constant. The calculation formula is: humidity difference = empirical conversion constant × sensitivity difference × temperature-humidity balance value; Compare the planting area temperature with a preset temperature threshold. When the planting area temperature exceeds the temperature threshold, the humidity obtained by adding the humidity difference to the optimal regional humidity of the alternative area B is used as the planting area humidity; when the planting area temperature is lower than the temperature threshold; the optimal regional humidity of the alternative area B is used as the planting area humidity; When the temperature difference coefficient of the planting area is greater than the humidity difference coefficient, the optimal regional humidity of the alternative area B is used as the planting area humidity, and the sensitivity difference is obtained by subtracting the regional humidity sensitivity in the alternative area B from the average regional humidity sensitivity. The temperature difference is calculated through a conversion formula in combination with a preset empirical conversion constant. The calculation formula is: temperature difference = empirical conversion constant × sensitivity difference × temperature-humidity balance value; Compare the planting area humidity with a preset humidity threshold. When the planting area humidity exceeds the humidity threshold, the optimal regional temperature of the alternative area A is used as the planting area temperature; when the planting area humidity is lower than the humidity threshold, the temperature obtained by subtracting the temperature difference from the optimal regional temperature of the alternative area A is used as the planting area temperature.

[0014] The technical effects and advantages of the intelligent temperature and humidity control system for the industrialized cultivation of Morchella esculenta of the present invention: The present invention divides the planting area and the growth stages of Morchella, obtains the standard temperature values and standard humidity values of each growth stage of Morchella, counts the area proportion of different growth stages of Morchella in each divided area, detects the growth rate and death ratio of different growth stages of Morchella in each divided area, calculates the regional temperature sensitivity and regional humidity sensitivity of each divided area, analyzes the temperature and humidity balance situation of the planting area according to the regional temperature sensitivity and regional humidity sensitivity of each divided area, determines the temperature or humidity of the planting area, selects the temperature and humidity control sequence by using the growth rate and death ratio of each divided area, determines the control sequence according to the difference in temperature and humidity sensitivity to increase the control benefit, and adjusts the temperature or humidity of the planting area by comprehensively considering the regional temperature sensitivity or regional humidity sensitivity of each divided area and the temperature and humidity balance situation, so as to reduce the influence of the interaction between temperature and humidity on the growth of Morchella. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a flowchart of the intelligent temperature and humidity control system for the industrialized planting of Morchella according to the present invention.

[0016] Figure 2 It is a schematic diagram of the intelligent temperature and humidity control system for the industrialized planting of Morchella according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] The present invention divides the planting area and the growth stages of Morchella, obtains the standard temperature values and standard humidity values of each growth stage of Morchella, counts the area proportion of different growth stages of Morchella in each divided area, detects the growth rate and death ratio of different growth stages of Morchella in each divided area, calculates the regional temperature sensitivity and regional humidity sensitivity of each divided area, analyzes the temperature and humidity balance situation of the planting area according to the regional temperature sensitivity and regional humidity sensitivity of each divided area, determines the temperature or humidity of the planting area, selects the temperature and humidity control sequence by using the growth rate and death ratio of each divided area, and adjusts the temperature or humidity of the planting area by comprehensively considering the regional temperature sensitivity or regional humidity sensitivity of each divided area and the temperature and humidity balance situation, so as to reduce the influence of the interaction between temperature and humidity on the growth of Morchella.

[0019] Example, an intelligent temperature and humidity control system for the industrialized planting of Morchella, such asFigure 1 , Figure 2 As shown in Figure 2 , it includes a data partitioning module, a data acquisition module, a balance analysis module, and an environmental control module; The data partitioning module is used to partition the planting area, divide the growth stages of Morchella esculenta into spore germination stage, mycelium growth stage, primordium formation stage, fruit body development stage, and fruit body maturity stage, and transmit each partitioned area and the growth stages of Morchella esculenta to the data acquisition module; The data acquisition module is used to obtain the standard temperature values and standard humidity values of each growth stage of Morchella esculenta, count the area ratios of different growth stages of Morchella esculenta in each partitioned area, and detect the growth rate and death ratio of different growth stages of Morchella esculenta in each partitioned area; The balance analysis module calculates the temperature sensitivity of the corresponding partitioned area through the standard temperature values of each growth stage of Morchella esculenta, the area ratios of different growth stages of Morchella esculenta in each partitioned area, and the growth rate; calculates the humidity sensitivity of the corresponding partitioned area through the standard humidity values of each growth stage of Morchella esculenta, the area ratios of different growth stages of Morchella esculenta in each partitioned area, and the death ratio; analyzes the temperature and humidity balance of the planting area according to the temperature sensitivity and humidity sensitivity of each partitioned area; The environmental control module is used to determine the temperature or humidity of the planting area, calculate the temperature difference coefficient and humidity difference coefficient by using the growth rate and death ratio of each partitioned area for comparison, select the temperature and humidity control sequence according to the comparison result, and adjust the temperature or humidity of the planting area by comprehensively marking the temperature sensitivity or humidity sensitivity of the area and the temperature and humidity balance situation.

[0020] It should be noted that Morchella esculenta has different requirements for temperature and humidity in different growth stages. Statistical analysis of the proportion of growth stages of Morchella esculenta can make the temperature and humidity control of the planting environment more accurate. In addition, there are individual differences among Morchella esculenta. By partitioning the planting area and analyzing each partitioned area, it is beneficial to reduce the control error caused by individual differences of Morchella esculenta.

[0021] Morchella esculenta is a precious edible mushroom belonging to the Basidiomycota phylum. Compared with other fungi, Morchella esculenta is extremely sensitive to temperature changes, has a narrow suitable growth temperature range, usually between 10 degrees Celsius and 20 degrees Celsius; in addition, Morchella esculenta needs to be planted in a relatively high relative humidity, such as between 70% and 90%. Its high temperature sensitivity and high humidity requirements make the environmental control requirements higher during the production process; During the planting process of Morchella esculenta, the temperature and humidity in the planting area affect each other. The temperature level will affect the humidity sensitivity, and vice versa, the humidity level will also affect the temperature sensitivity; when the temperature in the planting area drops, the humidity sensitivity of Morchella esculenta in the planting area decreases; when the humidity in the planting area rises, the temperature sensitivity of Morchella esculenta in the planting area decreases; The data division module divides the cultivation area of Morchella into N analysis areas according to a preset division ratio, and divides the growth stages of Morchella into spore germination stage, mycelium growth stage, primordium formation stage, fruit body development stage, and fruit body maturity stage; During the spore germination stage, the spores of Morchella begin to germinate and form mycelium; during the mycelium growth stage, the mycelium of Morchella absorbs nutrients and grows and expands; during the primordium formation stage, the mycelium of Morchella begins to form primordia, which are the preliminary structures of the fruit bodies; during the fruit body development stage, the fruit bodies of Morchella grow rapidly and reach maturity; during the fruit body maturity stage, harvesting can be carried out, and a relatively low humidity needs to be maintained to extend the storage time of the fruits.

[0022] The data division module transfers the divided analysis areas and the growth stages of Morchella to the data collection module.

[0023] It should be noted that in the above, temperature and humidity sensitivity are positively correlated, while humidity and temperature sensitivity are negatively correlated.

[0024] The data collection module accesses the academic database to obtain the standard temperature range and standard humidity range for each growth stage of Morchella. Taking the five growth stages of Morchella in this example as follows: Spore germination stage: The temperature requirement is 15°C to 20°C; the humidity requirement is 70% to 90% relative humidity; Mycelium growth stage: The temperature requirement is 10°C to 20°C; the humidity requirement is 70% to 90% relative humidity; Primordium formation stage: The temperature requirement is 15°C to 22°C; the humidity requirement is 85% to 95% relative humidity; Fruit body development stage: The temperature requirement is 15°C to 25°C; the humidity requirement is 80% to 90% relative humidity; Fruit body maturity stage: The temperature requirement is 15°C to 20°C; the humidity requirement is 70% to 80% relative humidity.

[0025] Taking the average values of the standard temperature range and standard humidity range for each growth stage of Morchella as the standard temperature value and standard humidity value for each growth stage respectively, the standard temperature values for each growth stage of Morchella in the above example are 17.5°C, 15°C, 18.5°C, 20°C, 17.5°C in sequence; the standard humidity values for each growth stage of Morchella in the above example are 80%, 80%, 90%, 85%, 75% in sequence.

[0026] The data acquisition module obtains the full view of the morel mushroom planting area through remote sensing technology, compares the image features of morel mushrooms at each growth stage in the morel mushroom image library, discriminates the growth stages of morel mushrooms in each divided area, and obtains the area ratio of morel mushrooms at different growth stages in the divided area; marks and differentiates the positions of morel mushrooms at different growth stages in each divided area. It should be noted that the growth stages of morel mushrooms in the same marked positions are the same, and each kind of mark corresponds to a growth stage of morel mushrooms.

[0027] The data acquisition module analyzes different marked positions in each divided area to obtain the growth rate and death ratio of morel mushrooms at different growth stages in each divided area. Select two time points as the growth rate detection points. Detect the sizes of morel mushrooms in different marked positions in the divided area at the two growth rate detection points, calculate the size difference of morel mushrooms at the two growth rate detection points in the same marked position, merge the size differences of morel mushrooms in the same marked position in different divided areas into a size data set and calculate the average value as the speed judgment value corresponding to the mark, and take the ratio of the size of morel mushrooms in the marked position in each divided area to the speed judgment value corresponding to the mark as the growth rate of morel mushrooms at the corresponding growth stage in the divided area, so as to obtain the growth rate of morel mushrooms at different growth stages in each divided area. Randomly select a time point as the death detection time point. Detect the number of dead and total morel mushrooms in different marked positions in each divided area at the death detection time point, and take the ratio of the number of dead to the total number of morel mushrooms in the same marked position in each divided area as the death ratio of morel mushrooms at the corresponding growth stage, so as to obtain the death ratio of morel mushrooms at different growth stages in each divided area.

[0028] The data acquisition module transmits the standard temperature values, standard humidity values at each growth stage of morel mushrooms, the area ratio, growth rate and death ratio of morel mushrooms at different growth stages in each divided area to the balance analysis module for data processing.

[0029] It should be noted that the academic database is a platform system for storing, managing and providing academic literature and information related to research results in different majors, and can obtain the standard temperature range and standard humidity range at each growth stage of morel mushrooms; remote sensing technology refers to the technology of collecting environmental information through sensors. In this example, it is used to obtain the full view of the morel mushroom planting area and mark and differentiate different growth stages of morel mushrooms; the faster the morel mushrooms grow, the larger their sizes are. The growth rate of the corresponding growth stage is calculated by detecting the size changes of morel mushrooms at different growth stages.

[0030] The balance analysis module performs a weighted sum of the area ratios of different growth stages of Morchella in the divided area and the standard temperature values of the corresponding growth stages to obtain the regional temperature optimal value of the corresponding divided area, and performs a weighted average of the area ratios of different growth stages of Morchella in the divided area and the growth rates of the corresponding growth stages to obtain the average regional growth rate of the corresponding divided area; The ratio of the regional temperature optimal value of the divided area to the average value of the regional temperature optimal values of all divided areas is used as the temperature optimal value ratio of the corresponding divided area; the ratio of the average regional growth rate of the divided area to the maximum value of the average regional growth rates of all divided areas is used as the regional growth rate ratio of the corresponding divided area; It is not difficult to obtain from the calculation processes of the temperature optimal value ratio and the regional growth rate ratio of the divided area that the closer the temperature optimal value ratio of the divided area is to 1 and the larger the regional growth rate ratio of the corresponding divided area is, the lower the temperature sensitivity of the corresponding area; According to the above relationship, the temperature sensitivities of each divided area are analyzed and quantified using the temperature optimal value ratio and the regional growth rate ratio of each divided area. The specific steps are as follows: The absolute value of the difference between the temperature optimal value ratio of the divided area and 1 is taken as the temperature optimal value difference. The smaller the temperature optimal value difference, the closer the temperature optimal value ratio of the divided area is to 1. The temperature sensitivity is analyzed using the temperature optimal value difference of the divided area and the regional growth rate ratio by the logistic regression method: , where e is the natural base, C is the temperature sensitivity coefficient of the divided area, and z is the linear combination of the input features and z is the result of the difference between the temperature optimal value difference of the corresponding divided area and the regional growth rate ratio.

[0031] It should be explained that the larger the temperature optimal value difference of the divided area or the smaller the regional growth rate, the larger the temperature sensitivity coefficient of Morchella in the divided area and the higher the temperature sensitivity.

[0032] Similarly, a weighted sum of the area ratios of different growth stages of Morchella in the divided area and the standard humidity values of the corresponding growth stages is performed to obtain the regional humidity optimal value of the corresponding divided area, and a weighted average of the area ratios of different growth stages of Morchella in the divided area and the death ratios of the corresponding growth stages is performed to obtain the average regional death ratio of the corresponding divided area; The ratio of the regional humidity optimal value of the divided area to the average value of the regional humidity optimal values of all divided areas is used as the humidity optimal value ratio of the corresponding divided area; the ratio of the average regional death ratio of the divided area to the maximum value of the average regional death ratios of all divided areas is used as the regional death rate ratio of the corresponding divided area; The closer the humidity optimal value ratio of the divided area is to 1 and the smaller the regional death rate ratio of the corresponding divided area is, the lower the temperature sensitivity of the corresponding area; Similarly, calculate the humidity merit difference based on the humidity merit ratio of the divided regions, and calculate the humidity sensitivity coefficient of the divided regions using the logistic regression method based on the humidity merit difference of the divided regions and the regional death rate ratio; It should be noted that when calculating the humidity sensitivity coefficient of the divided regions using the logistic regression method, the linear combination of the input features is the sum of the humidity merit difference and the regional death rate ratio of the corresponding divided regions.

[0033] Calculate the average value of the temperature sensitivity coefficients of all divided regions as the average temperature sensitivity of the planting region; calculate the average value of the humidity sensitivity coefficients of all divided regions as the average humidity sensitivity of the planting region; Sum the average temperature sensitivity of the planting region and the average humidity sensitivity of the planting region to obtain the temperature-humidity balance value of the current planting region.

[0034] It should be noted that the temperature-humidity balance value of the planting region quantifies the interaction between the temperature and humidity of the planting region, and corrects the interaction between temperature and humidity through the temperature-humidity balance value.

[0035] Before determining the temperature or humidity of the planting region, the environmental control module selects the divided region with the largest average regional growth rate and the divided region with the smallest average regional death ratio as the alternative region A and the alternative region B respectively from all the divided regions; Subtract the average regional growth rate in the alternative region A from the median of the average regional growth rates of all the divided regions to obtain the temperature difference coefficient of the planting region; subtract the average regional death ratio in the alternative region B from the median of the average regional death ratios of all the divided regions to obtain the humidity difference coefficient of the planting region; Compare the temperature difference coefficient and the humidity difference coefficient of the planting region to determine the temperature-humidity control order; When the temperature difference coefficient of the planting region is less than the humidity difference coefficient, first control the temperature of the planting region, and then control the humidity of the planting region. Take the regional temperature merit of the alternative region A as the planting region temperature, subtract the regional temperature sensitivity in the alternative region A from the average regional temperature sensitivity to obtain the sensitivity difference, and calculate the humidity difference through the humidity conversion formula. The calculation formula is: humidity difference = empirical conversion constant * sensitivity difference * temperature-humidity balance value; Compare the planting region temperature with the preset temperature threshold. When the planting region temperature exceeds the temperature threshold, take the humidity obtained by adding the humidity difference to the regional humidity merit of the alternative region B as the planting region humidity; when the planting region temperature is lower than the temperature threshold; take the regional humidity merit of the alternative region B as the planting region humidity; When the temperature difference coefficient of the planting area is greater than the humidity difference coefficient, first regulate the humidity of the planting area, and then regulate the humidity of the planting area. Take the regional humidity optimum value of alternative area B as the humidity of the planting area. Subtract the regional humidity sensitivity in alternative area B from the regional average humidity sensitivity to obtain the sensitivity difference. Calculate the temperature difference through the temperature conversion formula, and its calculation formula is: temperature difference = empirical conversion constant × sensitivity difference × temperature-humidity balance value; Compare the humidity of the planting area with the preset humidity threshold. When the humidity of the planting area exceeds the humidity threshold, take the regional temperature optimum value of alternative area A as the temperature of the planting area; when the humidity of the planting area is lower than the humidity threshold, take the temperature obtained by subtracting the temperature difference from the regional temperature optimum value of alternative area A as the temperature of the planting area.

[0036] It should be noted that by comparing the magnitudes of the temperature difference coefficient and the humidity difference coefficient, the temperature and humidity sensitivity degrees of the planting area are determined. After determining the regulation order according to the sensitivity degree, the humidity or temperature to be regulated later is corrected according to the high or low temperature or humidity of the planting area. The empirical conversion constant mentioned above is given by professionals in this field and will not be analyzed here; When the temperature is high, it is adjusted by increasing the humidity, and when the humidity is low, it is adjusted by decreasing the temperature, so as to effectively reduce the growth impact on Morchella esculenta caused by the interaction between temperature and humidity.

[0037] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0038] Those of ordinary skill in the art can realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, or by the combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application of the technical solution and the invention constraints. Professionals can use different methods to implement the described functions for each specific application, but this implementation should not be considered to exceed the scope of this application.

[0039] In addition, in each embodiment of the present application, the functional modules can be integrated in a processing module, or each module can exist physically alone, or two or more modules can be integrated in one module.

[0040] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0041] Finally, the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An intelligent temperature and humidity control system for factory cultivation of morels, characterized in that: It includes data division module, data acquisition module, balance analysis module and environmental control module; The data division module is used to divide the planting area into regions and the growth stages of morels, and transmit each divided region and the growth stage of morels to the data acquisition module; The data acquisition module is used to obtain the standard temperature and humidity values ​​of Morchella at each growth stage, count the area proportions of Morchella at different growth stages in each divided area, and detect the growth rate and death rate of Morchella at different growth stages in each divided area; The balance analysis module calculates the temperature sensitivity of the corresponding divided area through the standard temperature value of each growth stage of morels, the area proportion of morels at different growth stages in each divided area, and the growth rate; calculates the humidity sensitivity of the corresponding divided area through the standard humidity value of each growth stage of morels, the area proportion of morels at different growth stages in each divided area, and the death rate; analyzes the temperature and humidity balance of the planting area based on the temperature sensitivity and humidity sensitivity of each divided area; The environmental control module uses the growth rate and death rate of each divided area to calculate the temperature difference coefficient and the humidity difference coefficient for comparison, selects the temperature and humidity control order according to the comparison results, and adjusts the temperature or humidity of the planting area based on the temperature sensitivity or humidity sensitivity of the marked area and the temperature and humidity balance.

2. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 1, characterized in that: The data acquisition module accesses the academic database to obtain the standard temperature range and standard humidity range of each growth stage of morels, obtains the full view of the morel planting area through remote sensing technology, compares the image features of each growth stage in the morel image library, identifies the growth stage of morels in each divided area and obtains the area proportion of morels in different growth stages in the divided area; marks and distinguishes the positions of morels in different growth stages in each divided area; The academic database is a platform system that stores, manages and provides information related to academic literature and research results in different disciplines. It is used to obtain the standard temperature range and standard humidity range for each growth stage of morels. Remote sensing technology refers to the technology of collecting environmental information through sensors. It is used to obtain a full view of the morel planting area and mark and distinguish the different growth stages of morels.

3. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 2, characterized in that: When the data acquisition module obtains the growth rate of the morels at different growth stages in each divided area, two time points are selected as growth rate detection points, and the sizes of the morels in different marked positions in the divided area are detected at the two growth rate detection points, and the size difference of the morels at two growth rate detection points in the same marked position is calculated, and the size difference of the morels at the same marked position in different divided areas is merged into a size data set and the average value is calculated as the speed judgment value of the corresponding mark, and the ratio of the size of the morels at the marked position in each divided area to the speed judgment value of the corresponding mark is used as the growth rate of the morels at the growth stage under the corresponding mark in the divided area; When the data acquisition module obtains the death ratio of morels in different growth stages in each divided area, it randomly selects a time point as the death detection time point, and detects the death number and total number of morels in different marked positions in each divided area at the death detection time point, and takes the ratio of the death number to the total number of morels in the same marked position in each divided area as the death ratio of the growth stage of morels under the corresponding mark.

4. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 1, characterized in that: The balance analysis module performs weighted summation on the area proportions of morels at different growth stages in the divided area and the standard temperature values ​​or standard humidity values ​​of the corresponding growth stages to obtain the regional temperature merit and regional humidity merit of the corresponding divided area; The area proportion of Morchella at different growth stages in the divided area and the growth rate or death rate of the corresponding growth stage are weighted and averaged to obtain the regional growth rate mean or regional death rate mean of the corresponding divided area; The ratio of the regional temperature merit of the divided area to the average regional temperature quality of all divided areas is taken as the temperature merit ratio of the corresponding divided area, and the ratio of the regional humidity merit of the divided area to the average regional humidity quality of all divided areas is taken as the humidity merit ratio of the corresponding divided area; The ratio of the mean regional growth rate of the divided area to the maximum mean regional growth rate of all divided areas is taken as the regional growth rate ratio of the corresponding divided area, and the ratio of the mean regional death ratio of the divided area to the maximum mean regional death ratio of all divided areas is taken as the regional death rate ratio of the corresponding divided area.

5. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 4 is characterized in that: The temperature sensitivity of each divided area is analyzed and quantified using the temperature merit ratio and regional growth rate ratio of each divided area. The specific steps are as follows: The temperature merit ratio of the divided area is subtracted from 1 and the absolute value is taken as the temperature merit difference. The smaller the temperature merit difference is, the closer the temperature merit ratio of the divided area is to 1. The temperature merit difference of the divided area and the regional growth rate ratio are analyzed by logistic regression method to analyze the temperature sensitivity: , where e is the natural base, C is the temperature sensitivity coefficient of the partitioned area, z is the linear combination of the input features and z is the difference between the temperature merit difference of the corresponding partitioned area and the regional growth rate ratio; Similarly, the humidity sensitivity of each divided area is analyzed and quantified using the humidity merit ratio and regional death rate ratio of each divided area to obtain the humidity sensitivity coefficient of the divided area; among which, the linear combination of input features is replaced by the sum of the humidity merit difference and regional death rate ratio of the corresponding divided area.

6. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 5, characterized in that: The average temperature sensitivity coefficients of all divided areas are calculated as the average temperature sensitivity of the planting area; the average humidity sensitivity coefficients of all divided areas are calculated as the average humidity sensitivity of the planting area; The average temperature sensitivity of the planting area and the average humidity sensitivity of the planting area are summed to obtain the temperature and humidity balance value of the current planting area.

7. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 4, characterized in that: Before determining the temperature or humidity of the planting area, the environmental control module selects the divided area with the largest average regional growth rate and the divided area with the smallest average regional death ratio from all divided areas as candidate area A and candidate area B, respectively.

8. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 7, characterized in that: The temperature difference coefficient of the planting area is obtained by subtracting the mean of the regional growth rate in the candidate area A from the median of the mean of the regional growth rate of all the divided areas; The humidity difference coefficient of the planting area is obtained by subtracting the mean of the regional death ratio in the candidate area B from the median of the mean of the regional death ratio in all the divided areas; When the temperature difference coefficient of the planting area is smaller than the humidity difference coefficient, the temperature of the planting area is regulated first, and then the humidity of the planting area is regulated; When the temperature difference coefficient of the planting area is greater than the humidity difference coefficient, the humidity of the planting area is regulated first, and then the humidity of the planting area is regulated.

9. The intelligent temperature and humidity control system for factory cultivation of morels according to claim 8, characterized in that: When the temperature difference coefficient of the planting area is less than the humidity difference coefficient, the regional temperature merit of the candidate area A is used as the planting area temperature, and the regional temperature sensitivity in the candidate area A is subtracted from the regional average temperature sensitivity to obtain the sensitivity difference. The humidity difference is calculated by the conversion formula combined with the preset empirical conversion constant, and the calculation formula is: humidity difference = empirical conversion constant * sensitivity difference * temperature and humidity balance value; The temperature of the planting area is compared with the preset temperature threshold. When the temperature of the planting area exceeds the temperature threshold, the humidity obtained by adding the regional humidity merit of the candidate area B to the humidity difference is used as the humidity of the planting area; when the temperature of the planting area is lower than the temperature threshold, the regional humidity merit of the candidate area B is used as the humidity of the planting area; When the temperature difference coefficient of the planting area is greater than the humidity difference coefficient, the regional humidity merit of the candidate area B is used as the planting area humidity, and the regional humidity sensitivity in the candidate area B is subtracted from the regional average humidity sensitivity to obtain the sensitivity difference. The temperature difference is calculated by the conversion formula combined with the preset empirical conversion constant, and the calculation formula is: temperature difference = empirical conversion constant x sensitivity difference x temperature and humidity balance value; The humidity of the planting area is compared with the preset humidity threshold. When the humidity of the planting area exceeds the humidity threshold, the regional temperature merit of the alternative area A is used as the planting area temperature; when the humidity of the planting area is lower than the humidity threshold, the temperature obtained by subtracting the temperature difference from the regional temperature merit of the alternative area A is used as the planting area temperature.

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