CN117762078A - Intelligent control method for edible fungus room environment - Google Patents

Intelligent control method for edible fungus room environment Download PDF

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Publication number
CN117762078A
CN117762078A CN202410196810.2A CN202410196810A CN117762078A CN 117762078 A CN117762078 A CN 117762078A CN 202410196810 A CN202410196810 A CN 202410196810A CN 117762078 A CN117762078 A CN 117762078A
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environment
production
information
edible
mushroom
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吴小红
王绪
吴卫
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Lianyungang Yinfeng Edible Fungi Technology Co ltd
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Lianyungang Yinfeng Edible Fungi Technology Co ltd
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Publication of CN117762078A publication Critical patent/CN117762078A/en
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Abstract

The application relates to an intelligent control method for an edible fungus mushroom house environment, which comprises the following steps: acquiring production demand information input by a user; analyzing and verifying the production demand information, and acquiring current production environment information of the edible fungus mushroom house after verification is passed; generating an environment control scheme through planning of a preset environment regulation model based on production demand information and current production environment information of the edible fungus mushroom house; and issuing equipment control parameters to the environment adjusting equipment in the edible fungus mushroom room according to the environment control scheme to set parameters, generating an environment adjusting control instruction according to the environment adjusting flow information, sending the environment adjusting control instruction to the environment adjusting equipment in the edible fungus mushroom room, and controlling the environment adjusting equipment to adjust the environment parameters in the edible fungus mushroom room. The application has the effect of precisely controlling the yield and the growth rate of the mushrooms.

Description

Intelligent control method for edible fungus room environment
Technical Field
the application relates to the field of mushroom planting, in particular to an intelligent control method for an edible mushroom house environment.
Background
In the prior art, a greenhouse (comprising a greenhouse, a mushroom house and a fungus house) for cultivating crops such as edible fungi, vegetables and flowers needs to be controlled according to the growth requirement of cultivated crops, and the related environmental factors (factors) include temperature, humidity, carbon dioxide concentration and the like, and the temperature and the humidity can be specifically divided into air temperature and humidity, cultivation soil temperature and humidity. The chinese patent of publication No. CN104238602B discloses an intelligent control and management system for greenhouse environment based on information collection, in which a plurality of sensors for respectively collecting various environmental information parameters are used, including an air temperature sensor, an air humidity sensor, a carbon dioxide concentration sensor, a soil moisture sensor, and a soil temperature sensor, the environmental information collected by the sensors is transmitted to a single chip microcomputer, the single chip microcomputer can control various environmental adjustment devices to automatically adjust the greenhouse environment, and the environmental adjustment devices include: the top and the side of the greenhouse are provided with shade and/or lighting devices, and the indoor air circulation equipment, the outdoor air circulation equipment, the sprinkling irrigation equipment, the heating equipment, the cooling equipment and the like. When the numerical value converted by the information acquired by each sensor exceeds a normal threshold, the singlechip controls the corresponding environment adjusting equipment to perform corresponding work, so that the automatic adjustment of the environmental parameters in the greenhouse is realized. In addition, as in the prior art, a fuzzy control method is also introduced about the temperature, humidity and carbon dioxide concentration of a greenhouse, for example, a paper with an author of Yu Lili, namely, a research of an edible fungus factory environment control system [ D ]. Northeast agricultural university, 2015", discloses a method for performing temperature fuzzy control on edible fungi; the paper of the author Ai Haibo, etc. "intelligent control System for miniature plant factory [ J ]. Agricultural machinery journal, 2013,44 (0 z 2): 198-204", discloses a method for fuzzy decoupling control of temperature and humidity; the paper "research and implementation of edible fungus greenhouse fuzzy system [ D ]. Shandong university of architecture.2013", which is the author Zhan Peng, discloses a control method based on fuzzy controller for temperature, humidity and carbon dioxide concentration.
The existing greenhouse environment control system, such as the intelligent greenhouse environment control management system based on information acquisition, has the advantages that the soil temperature, the soil humidity, the air temperature and the air humidity are regulated and controlled separately, any one of the environment information exceeds the threshold value, the system responds to perform corresponding regulation and control, and due to the fact that the threshold value required to be set is large, the early-stage investment workload is large, the system is frequently regulated and controlled, and the problem of low environment regulation and control efficiency exists.
The existing mushroom house environment regulation and control system is used for promoting the growth of mushrooms and improving the yield of the mushrooms as much as possible, and for farmers who plant edible mushrooms, the farmers are used for producing the mushrooms in summer, but the market demand of the edible mushrooms is light, the yield of the edible mushrooms is greatly increased, the supply and demand of the market are always larger, the sales of the mushrooms is difficult, the mushrooms are easy to be in stagnation, and the planting loss is caused. Therefore, how to control the output of the mushrooms according to the production requirements and ensure the benefits of mushroom farmers is a technical problem to be solved.
Disclosure of Invention
The application provides an intelligent control method for the environment of an edible fungus mushroom house, which aims to solve the problems that the environment of the existing edible fungus mushroom house is difficult to adjust, the intelligent is low, and the yield of the edible fungus mushroom cannot be controlled according to production requirements.
in a first aspect, the application provides an intelligent control method for an environment of an edible fungus mushroom house, which adopts the following technical scheme:
an intelligent control method for the environment of an edible mushroom house comprises the following steps:
acquiring production demand information input by a user, wherein the production demand information comprises mushroom type information, mushroom growth rate demand and production cycle yield demand;
analyzing and verifying the production demand information, and acquiring current production environment information of the edible fungus mushroom house after verification is passed;
Generating an environment control scheme through planning by a preset environment regulation model based on production demand information and current production environment information of the edible fungus mushroom house, wherein the environment regulation model is obtained through historical data training of a machine learning model; the environment control scheme comprises equipment control parameters and environment adjustment flow information;
and issuing equipment control parameters to the environment adjusting equipment in the edible fungus mushroom room according to the environment control scheme to set parameters, generating an environment adjusting control instruction according to the environment adjusting flow information, sending the environment adjusting control instruction to the environment adjusting equipment in the edible fungus mushroom room, and controlling the environment adjusting equipment to adjust the environment parameters in the edible fungus mushroom room.
preferably, the controlling the environment adjusting device to adjust the environmental parameters in the edible mushroom room specifically comprises the following steps:
based on the environmental regulation control instruction, controlling preset environmental temperature regulating equipment to regulate the environmental temperature of the edible mushroom house in real time;
based on the environmental regulation control instruction, controlling preset environmental humidity regulating equipment to regulate the environmental humidity of the edible mushroom room in real time;
Based on the environmental regulation control instruction, controlling preset environmental ventilation equipment to regulate CO of the edible mushroom room in real time2Concentration;
based on the environment adjustment control instruction, the preset illumination adjustment equipment is controlled to adjust the scattering illumination time length and illumination intensity in the edible mushroom room in real time.
Preferably, the illumination adjusting device comprises a shading layer, a light supplementing layer and a scattering layer which are sequentially arranged at the top of the edible fungus mushroom house from top to bottom, wherein the scattering layer is made of a scattering sunshade net, the scattering sunshade net is woven by criss-cross polyethylene reflective ropes, and the mesh aperture of the scattering sunshade net is 3-5mm.
Preferably, the light supplementing layer comprises a plurality of photosynthetic LED lamps distributed at the top of the edible fungus mushroom house.
Preferably, the shading layer comprises an arc-shaped frame arranged at the top of the edible fungus mushroom house and two electric rolling assemblies arranged at the top of the arc-shaped frame, each electric rolling assembly comprises a rolling base, a rolling motor, a rolling rotating shaft and a piece of sun-shading cloth, the rolling rotating shaft is rotatably arranged on the rolling base, and an output shaft of the rolling motor is coaxially connected with the rolling rotating shaft; the winding rotating shaft is characterized in that electric sliding rails are arranged on two sides of the winding rotating shaft, the electric sliding rails are paved along an arc frame, one section of the winding rotating shaft is bonded with the winding rotating shaft, and the other end of the winding rotating shaft is fixedly connected with sliding blocks of the electric sliding rails.
Preferably, the two winding rotating shafts are covered with a protective cover, the protective cover comprises a vertical plate arranged between the two winding rotating shafts and an arc-shaped guide plate arranged at the top of the vertical plate, and both ends of the arc-shaped guide plate are connected with protective side plates.
Preferably, the environmental control scheme generated by planning through a preset environmental regulation model based on the production demand information and the current production environmental information of the edible fungus mushroom house specifically comprises the following steps:
generating a plurality of alternative schemes through preset environment regulation model planning based on production demand information and current production environment information of the edible fungus mushroom houses;
calculating the scheme scores of the alternative schemes through a preset scheme score calculation formula; the scheme scoring calculation formula specifically comprises the following steps:
Wherein the method comprises the steps ofscoring coefficient for energy consumption,/>Scoring coefficients for raw material consumption, and/>And/>Are all set by management personnel; /(I)q is the quantity of output requirements in the production period in the production requirement information, and M is a preset unit energy consumption reference value; n is the preset production cost of unit mushroom,/>The cost of the fungus stake for the ith alternative;
The alternative with the highest scheme score is selected as the environment control scheme based on the scheme scores.
preferably, the analyzing and verifying the production requirement information specifically includes the following steps:
correcting and acquiring an effective yield adjustment interval and an effective rate adjustment interval of each type of current mushrooms;
Analyzing the production demand information to judge whether the mushroom growth rate demand and the production period yield demand in the production demand information are respectively located in an effective yield adjustment interval and an effective rate adjustment interval;
If the information is in the range, the verification of the production demand information is passed;
If the mushroom growth rate requirement is not in the effective rate adjustment interval and/or the production period yield requirement is not in the effective yield adjustment interval, generating alarm information and sending the alarm information to a manager.
Preferably, the step of obtaining the effective yield adjustment interval and the effective rate adjustment interval of each type of mushrooms at present through correction specifically comprises the following steps:
Acquiring historical production data of various types of mushrooms, and extracting production extremum data of various types of mushrooms, wherein the production extremum data of various types of mushrooms comprises historical maximum yield, historical minimum yield, historical maximum growth rate and historical minimum growth rate of various types of mushrooms;
Obtaining a preset standard yield adjustment interval and a preset step rate adjustment interval of various types of mushrooms;
And correcting the preset standard yield adjustment interval and step rate adjustment interval of each type of mushroom based on the production extremum data of each type of mushroom to generate an effective yield adjustment interval and an effective rate adjustment interval of each type of mushroom.
In a second aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium storing a computer program capable of being loaded by a processor and performing any one of the methods described above.
in summary, the present application includes at least one of the following beneficial technical effects:
1. Based on the production demand information of the user and the current production environment information of the edible mushroom house, generating a yield-reducing environment regulation demand or a yield-increasing environment regulation demand, and further intelligently deciding to generate an environment regulation scheme through an environment regulation model, so that the environment of the edible mushroom house is intelligently regulated, the effect of accurately controlling the yield and the growth rate of the edible mushrooms is achieved, the phenomena of mushroom stagnation, planting loss and a large amount of mushrooms due to mushroom stagnation and rot waste caused by mushroom supply are avoided, and the profit of the user is improved;
2. Based on the production demand information of the user and the current production environment information of the edible mushroom house, deciding to generate a plurality of alternatives, scoring each alternative from two aspects of environment adjustment energy consumption and production cost according to the current production environment information of the edible mushroom house, and helping to design the alternatives with low environment adjustment energy consumption and low planting cost as an environment control scheme based on the current production environment of the edible mushroom house, so that the cultivation profit of the user is further improved, and the effect of accurately controlling the yield and growth rate of the edible mushrooms is achieved;
3. The polyethylene reflective ropes are woven into the net to form the scattering layer, so that natural sunlight and illumination of the photosynthetic LED lamp can be shielded and scattered, light can be irradiated onto the fungus stake from various angles, and the yield of the fungus stake can be improved. In addition, through the setting of light filling layer, can carry out the light filling when external natural light is not enough, through the setting of light shielding layer, can be when external light is too strong and there is the demand of reducing production, reduce fungus stake heat dissipation duration, reach the effect to fungus mushroom output and growth rate accurate control.
Drawings
FIG. 1 is a flow chart of a method for intelligently controlling the environment of an edible mushroom house in an embodiment of the application;
FIG. 2 is a flow chart of a method for adjusting environmental parameters in an edible mushroom house in an embodiment of the application;
FIG. 3 is a flow chart of a method of planning generation of an environmental control scheme in an embodiment of the present application;
FIG. 4 is a flow chart of a method for parsing and verifying production demand information in an embodiment of the application;
FIG. 5 is a flowchart of a method for correcting and acquiring the effective yield adjustment interval and the effective rate adjustment interval of each type of mushrooms in the embodiment of the application;
Fig. 6 is a schematic structural view of an illumination adjusting apparatus in an embodiment of the present application.
Reference numerals illustrate: 1. a scattering layer; 2. a light supplementing layer; 3. a light shielding layer; 31. an arc-shaped frame; 32. an electric winding assembly; 321. rolling a base; 322. a winding motor; 323. winding a rotating shaft; 324. sunshade cloth; 325. an electric slide rail; 33. a protective cover; 331. a vertical plate; 332. an arc-shaped guide plate; 333. and (5) protecting the side plates.
Detailed Description
The application is described in further detail below with reference to fig. 1-6.
The embodiment of the application discloses an intelligent control method for an edible fungus mushroom house environment. Referring to fig. 1, an intelligent control method for an edible fungus mushroom house environment comprises the following steps:
S1, acquiring production demand information input by a user, wherein the production demand information comprises mushroom type information, mushroom growth rate demand and production cycle yield demand;
s2, analyzing and verifying the production demand information, and acquiring current production environment information of the edible mushroom house after verification is passed;
S3, generating an environment control scheme: generating an environment control scheme through planning by a preset environment regulation model based on production demand information and current production environment information of the edible fungus mushroom house, wherein the environment regulation model is obtained through historical data training of a machine learning model; the environment control scheme comprises equipment control parameters and environment adjustment flow information;
The specific training step of training the machine learning model through the historical data is the prior art and is not described in detail herein; however, it should be noted that, when the machine learning model is trained through the historical data, not only the training of the growth data, but also the training of the yield reduction data are required;
S4, adjusting environmental parameters in the edible fungus room: and issuing equipment control parameters to the environment adjusting equipment in the edible fungus mushroom room according to the environment control scheme to set parameters, generating an environment adjusting control instruction according to the environment adjusting flow information, sending the environment adjusting control instruction to the environment adjusting equipment in the edible fungus mushroom room, and controlling the environment adjusting equipment to adjust the environment parameters in the edible fungus mushroom room. Based on the production demand information of the users and the current production environment information of the edible mushroom houses, the production reduction environment regulation demand or the production increase environment regulation demand is generated, and then the environment regulation scheme is intelligently decided and generated through the environment regulation model, so that the intelligent regulation of the edible mushroom houses is realized, the effect of accurately controlling the yield and the growth rate of the edible mushrooms is achieved, the phenomena of mushroom stagnation, planting loss and a large amount of mushrooms due to the phenomenon of the mushroom stagnation and the rot waste are avoided, and the profit of the users is improved.
referring to fig. 2, the control environment adjusting device adjusts environmental parameters in the edible mushroom house, specifically includes the following steps:
a1, adjusting the ambient temperature of the edible mushroom house: based on the environmental regulation control instruction, controlling preset environmental temperature regulating equipment to regulate the environmental temperature of the edible mushroom house in real time;
A2, adjusting the ambient humidity of the edible mushroom house: based on the environmental regulation control instruction, controlling preset environmental humidity regulating equipment to regulate the environmental humidity of the edible mushroom room in real time;
A3, adjusting CO of edible mushroom house2Concentration: based on the environmental regulation control instruction, controlling preset environmental ventilation equipment to regulate CO of the edible mushroom room in real time2Concentration;
A4, adjusting the scattering illumination time length and illumination intensity in the edible mushroom room: based on the environment adjustment control instruction, the preset illumination adjustment equipment is controlled to adjust the scattering illumination time length and illumination intensity in the edible mushroom room in real time.
referring to fig. 3, the environmental control scheme generated by planning through a preset environmental regulation model based on the production demand information and the current production environmental information of the edible fungus mushroom house specifically includes the following steps:
B1, planning and generating a plurality of alternative schemes: generating a plurality of alternative schemes through preset environment regulation model planning based on production demand information and current production environment information of the edible fungus mushroom houses;
b2, calculating scheme scores of the alternative schemes: calculating the scheme scores of the alternative schemes through a preset scheme score calculation formula; the scheme scoring calculation formula specifically comprises the following steps:
Wherein the method comprises the steps ofscoring coefficient for energy consumption,/>Scoring coefficients for raw material consumption, and/>And/>Are all set by management personnel; /(I)q is the quantity of output requirements in the production period in the production requirement information, and M is a preset unit energy consumption reference value; n is the preset production cost of unit mushroom,/>The cost of the fungus stake for the ith alternative;
B3, selecting an environment control scheme: the alternative with the highest scheme score is selected as the environment control scheme based on the scheme scores. Based on the production demand information of the user and the current production environment information of the edible mushroom house, a plurality of alternative schemes are decided to be generated, and according to the current production environment information of the edible mushroom house, each alternative scheme is scored from two aspects of environment adjustment energy consumption and production cost, so that the alternative scheme with low environment adjustment energy consumption and low planting cost is designed on the basis of the current production environment of the edible mushroom house to serve as an environment control scheme, the cultivation profit of the edible mushroom of the user is further improved, and the effect of accurately controlling the output and the growth rate of the edible mushroom is achieved.
referring to fig. 4, the analysis and verification of the production requirement information specifically includes the following steps:
C1, correcting and acquiring an effective yield adjustment interval and an effective rate adjustment interval of each type of current mushrooms;
C2, analyzing the production demand information to judge whether the mushroom growth rate demand and the production period yield demand in the production demand information are respectively located in an effective yield adjustment interval and an effective rate adjustment interval;
if both the information are in the C3 state, the verification of the production demand information is passed;
and C4, if the mushroom growth rate requirement is not in the effective rate adjustment interval and/or the production period yield requirement is not in the effective yield adjustment interval, generating alarm information and sending the alarm information to a manager. By analyzing and verifying the production demand information, the generation and execution of an error scheme caused by error input are avoided, the accurate formulation and stable implementation of environmental regulation are ensured.
Referring to fig. 5, the step of obtaining the effective yield adjustment interval and the effective rate adjustment interval of each type of mushrooms at present through correction specifically comprises the following steps:
D1, extracting production extremum data of various types of mushrooms: acquiring historical production data of various types of mushrooms, and extracting production extremum data of various types of mushrooms, wherein the production extremum data of various types of mushrooms comprises historical maximum yield, historical minimum yield, historical maximum growth rate and historical minimum growth rate of various types of mushrooms;
d2, obtaining a preset standard yield adjustment interval and a preset step rate adjustment interval of each type of mushroom;
D3, generating an effective yield adjustment interval and an effective rate adjustment interval of various types of mushrooms: and correcting the preset standard yield adjustment interval and step rate adjustment interval of each type of mushroom based on the production extremum data of each type of mushroom to generate an effective yield adjustment interval and an effective rate adjustment interval of each type of mushroom. If the historical maximum yield is greater than the maximum value of the standard yield adjustment interval, the historical maximum yield becomes the endpoint value of the effective yield adjustment interval, and similarly if the historical minimum yield is less than the minimum value of the standard yield adjustment interval, the minimum endpoint of the historical minimum yield replacement standard yield adjustment interval becomes the breakpoint value of the effective yield adjustment interval. The effective yield adjustment interval and the effective rate adjustment interval of each type of mushroom are corrected in real time, so that the effective generation range of the mushroom yield and the growth rate can be regulated and controlled by dynamically updating the environment regulation scheme, the environment regulation model can be helped to absorb new environment regulation means continuously and iteratively, and the rationality of the environment regulation scheme is improved.
Referring to fig. 6, the illumination adjusting device comprises a shading layer 3, a light supplementing layer 2 and a scattering layer 1 which are sequentially arranged at the top of an edible fungus mushroom house from top to bottom, wherein the scattering layer 1 is made of a scattering sunshade net, the scattering sunshade net is woven by polyethylene reflective ropes which are criss-cross, and the mesh aperture of the scattering sunshade net is 3-5mm. The light supplementing layer 2 comprises a plurality of photosynthetic LED lamps which are distributed and arranged at the top of the edible fungus mushroom house. The polyethylene reflective ropes are woven into the net to form the scattering layer 1, so that natural sunlight and illumination of the photosynthetic LED lamps can be shielded and scattered, light can be irradiated onto the fungus piles from various angles, and the yield of the fungus piles can be improved. In addition, through the setting of light filling layer 2, can carry out the light filling when external natural light is not enough, through the setting of light shielding layer 3, can be when external light is too strong and there is the demand of reducing production, reduce fungus stake heat dissipation duration, reach the effect to fungus mushroom output and growth rate accurate control.
Referring to fig. 6, the light shielding layer 3 includes an arc-shaped frame 31 disposed at the top of the edible fungus mushroom house and two electric winding assemblies 32 disposed at the top of the arc-shaped frame 31, the electric winding assemblies 32 include a winding base 321, a winding motor 322, a winding rotating shaft 323 and a sun-shading cloth 324, the winding rotating shaft 323 is rotatably disposed on the winding base 321, and an output shaft of the winding motor 322 is coaxially connected with the winding rotating shaft 323; the electric slide rails 325 are arranged on two sides of the winding rotating shaft 323, the electric slide rails 325 are paved along an arc frame, one section of the winding rotating shaft 323 is bonded with the winding rotating shaft 323, and the other end of the winding rotating shaft 323 is fixedly connected with the sliding blocks of the electric slide rails 325. Through the setting of rolling motor 322, rolling pivot 323 and rolling slide rail for the puggaree 324 can be at the stable rolling of the arc frame 31 at edible mushroom room top and tiling, helps realizing accurate regulation and control edible mushroom room interior illumination region, illumination duration and illumination intensity's effect, reaches the effect to mushroom output and growth rate accurate control.
Referring to fig. 6, the top of the two winding shafts 323 are covered with a protective cover 33, the protective cover 33 includes a vertical plate 331 disposed between the two winding shafts 323 and an arc-shaped baffle 332 disposed at the top of the vertical plate 331, and two ends of the arc-shaped baffle 332 are connected with protective side plates 333. Through the setting of safety cover 33, can protect electronic rolling subassembly 32, help improving equipment life.
The embodiment of the present application also discloses a computer readable storage medium storing a computer program capable of being loaded by a processor and executing the method as described above, the computer readable storage medium for example comprising: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention. It will be apparent that the described embodiments are merely some, but not all, embodiments of the invention. Based on these embodiments, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort are within the scope of the invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still combine, add or delete features of the embodiments of the present invention or make other adjustments according to circumstances without any conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, which also falls within the scope of the present invention.

Claims (10)

1. An intelligent control method for an edible mushroom house environment is characterized by comprising the following steps:
acquiring production demand information input by a user, wherein the production demand information comprises mushroom type information, mushroom growth rate demand and production cycle yield demand;
analyzing and verifying the production demand information, and acquiring current production environment information of the edible fungus mushroom house after verification is passed;
Generating an environment control scheme through planning by a preset environment regulation model based on production demand information and current production environment information of the edible fungus mushroom house, wherein the environment regulation model is obtained through historical data training of a machine learning model; the environment control scheme comprises equipment control parameters and environment adjustment flow information;
and issuing equipment control parameters to the environment adjusting equipment in the edible fungus mushroom room according to the environment control scheme to set parameters, generating an environment adjusting control instruction according to the environment adjusting flow information, sending the environment adjusting control instruction to the environment adjusting equipment in the edible fungus mushroom room, and controlling the environment adjusting equipment to adjust the environment parameters in the edible fungus mushroom room.
2. The intelligent control method for the environment of the edible mushroom house according to claim 1, wherein the control environment adjusting device adjusts the environmental parameters in the edible mushroom house, specifically comprising the following steps:
based on the environmental regulation control instruction, controlling preset environmental temperature regulating equipment to regulate the environmental temperature of the edible mushroom house in real time;
based on the environmental regulation control instruction, controlling preset environmental humidity regulating equipment to regulate the environmental humidity of the edible mushroom room in real time;
Based on the environmental regulation control instruction, controlling preset environmental ventilation equipment to regulate CO of the edible mushroom room in real time2Concentration;
based on the environment adjustment control instruction, the preset illumination adjustment equipment is controlled to adjust the scattering illumination time length and illumination intensity in the edible mushroom room in real time.
3. the intelligent control method for the environment of the edible mushroom house according to claim 1, wherein the illumination adjusting device comprises a shading layer (3), a light supplementing layer (2) and a scattering layer (1) which are sequentially arranged on the top of the edible mushroom house from top to bottom, the scattering layer (1) is made of a scattering sunshade net, the scattering sunshade net is woven by polyethylene reflecting ropes which are crisscross, and the mesh aperture of the scattering sunshade net is 3-5mm.
4. the intelligent control method for the environment of the edible mushroom house according to claim 3, wherein the light supplementing layer (2) comprises a plurality of photosynthetic LED lamps distributed on the top of the edible mushroom house.
5. The intelligent control method for the environment of the edible mushroom house according to claim 3, wherein the shading layer (3) comprises an arc-shaped frame (31) arranged at the top of the edible mushroom house and two electric winding assemblies (32) arranged at the top of the arc-shaped frame (31), the electric winding assemblies (32) comprise winding bases (321), winding motors (322), winding rotating shafts (323) and shading cloth (324), the winding rotating shafts (323) are rotatably arranged on the winding bases (321), and an output shaft of each winding motor (322) is coaxially connected with each winding rotating shaft (323); the winding rotating shaft (323) is characterized in that electric sliding rails (325) are arranged on two sides of the winding rotating shaft (323), the electric sliding rails (325) are paved along an arc frame, one section of the winding rotating shaft (323) is bonded with the winding rotating shaft (323), and the other end of the winding rotating shaft is fixedly connected with sliding blocks of the electric sliding rails (325).
6. The intelligent control method for the environment of the edible mushroom house according to claim 5, wherein the top parts of the two rolling rotating shafts (323) are covered with a protective cover (33), the protective cover (33) comprises a vertical plate (331) arranged between the two rolling rotating shafts (323) and an arc-shaped guide plate (332) arranged at the top part of the vertical plate (331), and two ends of the arc-shaped guide plate (332) are connected with protective side plates (333).
7. The intelligent control method for the environment of the edible mushroom house according to claim 1, wherein the generating the environment control scheme based on the production requirement information and the current production environment information of the edible mushroom house through the preset environment regulation model programming specifically comprises the following steps:
generating a plurality of alternative schemes through preset environment regulation model planning based on production demand information and current production environment information of the edible fungus mushroom houses;
calculating the scheme scores of the alternative schemes through a preset scheme score calculation formula; the scheme scoring calculation formula specifically comprises the following steps:
Wherein the method comprises the steps ofscoring coefficient for energy consumption,/>Scoring coefficients for raw material consumption, and/>And/>Are all set by management personnel; /(I)q is the quantity of output requirements in the production period in the production requirement information, and M is a preset unit energy consumption reference value; n is the preset production cost of unit mushroom,/>The cost of the fungus stake for the ith alternative;
The alternative with the highest scheme score is selected as the environment control scheme based on the scheme scores.
8. The intelligent control method for the environment of the edible mushroom house according to claim 1, wherein the analysis and verification of the production demand information specifically comprises the following steps:
correcting and acquiring an effective yield adjustment interval and an effective rate adjustment interval of each type of current mushrooms;
Analyzing the production demand information to judge whether the mushroom growth rate demand and the production period yield demand in the production demand information are respectively located in an effective yield adjustment interval and an effective rate adjustment interval;
If the information is in the range, the verification of the production demand information is passed;
If the mushroom growth rate requirement is not in the effective rate adjustment interval and/or the production period yield requirement is not in the effective yield adjustment interval, generating alarm information and sending the alarm information to a manager.
9. The intelligent control method for the environment of the edible mushroom house according to claim 8, wherein the step of obtaining the effective yield adjustment interval and the effective rate adjustment interval of each type of mushrooms at present through correction specifically comprises the following steps:
Acquiring historical production data of various types of mushrooms, and extracting production extremum data of various types of mushrooms, wherein the production extremum data of various types of mushrooms comprises historical maximum yield, historical minimum yield, historical maximum growth rate and historical minimum growth rate of various types of mushrooms;
Obtaining a preset standard yield adjustment interval and a preset step rate adjustment interval of various types of mushrooms;
And correcting the preset standard yield adjustment interval and step rate adjustment interval of each type of mushroom based on the production extremum data of each type of mushroom to generate an effective yield adjustment interval and an effective rate adjustment interval of each type of mushroom.
10. A computer-readable storage medium, characterized by: a computer program stored which can be loaded by a processor and which performs the method according to any one of claims 1-9.
CN202410196810.2A 2024-02-22 2024-02-22 Intelligent control method for edible fungus room environment Pending CN117762078A (en)

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Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103247006A (en) * 2013-05-07 2013-08-14 湖北亿瑞生物科技有限公司 Intelligent-decision-based edible fungi cultivation monitoring device and method
CN105159257A (en) * 2015-08-25 2015-12-16 浙江大学 Integrated control system and method for plant factory
CN105532321A (en) * 2016-01-29 2016-05-04 滦南林海科技发展有限责任公司 Agricultural-photovoltaic complementary photovoltaic module and application method thereof on agricultural greenhouse
CN106842923A (en) * 2017-01-17 2017-06-13 同济大学 Greenhouse multiple-factor control method for coordinating based on plant physiology and energy optimization
CN108364235A (en) * 2018-02-26 2018-08-03 深圳春沐源控股有限公司 Method and system for determining fruit pre-picking plan and fruit picking system
CN108702987A (en) * 2018-04-03 2018-10-26 金华市泉宇科技有限公司 Multifunction flower-tree planting equipment
CN109557966A (en) * 2018-12-30 2019-04-02 盐城爱菲尔菌菇装备科技股份有限公司 A kind of TT&C system and method for edible fungi growth environment
CN112464169A (en) * 2020-12-03 2021-03-09 上海卫星工程研究所 Big data single-parameter threshold mining and correcting method and system based on statistical distribution
CN113367009A (en) * 2021-07-22 2021-09-10 深圳市海浦蒙特科技有限公司 Greenhouse irrigation method and related equipment thereof
CN113941774A (en) * 2021-11-23 2022-01-18 山东钢铁集团日照有限公司 Method, device and equipment for setting parameter threshold of welding seam detection system and storage medium
US20220232757A1 (en) * 2021-01-27 2022-07-28 Tagawa Greenhouse Enterprises, Llc Systems And Methods For Improved Horticulture Donor Tray Efficiency To Optimize Order Fulfillment
CN114967626A (en) * 2022-06-15 2022-08-30 浙大城市学院 Multi-source federal environment control method for plant factory crop cultivation
CN115081713A (en) * 2022-06-23 2022-09-20 河北光兴半导体技术有限公司 Plant yield optimization method and plant planting system
CN220056849U (en) * 2023-05-12 2023-11-21 宁夏蓝怡生物工程有限公司 Microorganism regulation and control device for algae product preparation
CN117576804A (en) * 2023-10-19 2024-02-20 东风商用车有限公司 Alarm method, device and equipment for vehicle self-adaptive threshold value and storage medium

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103247006A (en) * 2013-05-07 2013-08-14 湖北亿瑞生物科技有限公司 Intelligent-decision-based edible fungi cultivation monitoring device and method
CN105159257A (en) * 2015-08-25 2015-12-16 浙江大学 Integrated control system and method for plant factory
CN105532321A (en) * 2016-01-29 2016-05-04 滦南林海科技发展有限责任公司 Agricultural-photovoltaic complementary photovoltaic module and application method thereof on agricultural greenhouse
CN106842923A (en) * 2017-01-17 2017-06-13 同济大学 Greenhouse multiple-factor control method for coordinating based on plant physiology and energy optimization
CN108364235A (en) * 2018-02-26 2018-08-03 深圳春沐源控股有限公司 Method and system for determining fruit pre-picking plan and fruit picking system
CN108702987A (en) * 2018-04-03 2018-10-26 金华市泉宇科技有限公司 Multifunction flower-tree planting equipment
CN109557966A (en) * 2018-12-30 2019-04-02 盐城爱菲尔菌菇装备科技股份有限公司 A kind of TT&C system and method for edible fungi growth environment
CN112464169A (en) * 2020-12-03 2021-03-09 上海卫星工程研究所 Big data single-parameter threshold mining and correcting method and system based on statistical distribution
US20220232757A1 (en) * 2021-01-27 2022-07-28 Tagawa Greenhouse Enterprises, Llc Systems And Methods For Improved Horticulture Donor Tray Efficiency To Optimize Order Fulfillment
CN113367009A (en) * 2021-07-22 2021-09-10 深圳市海浦蒙特科技有限公司 Greenhouse irrigation method and related equipment thereof
CN113941774A (en) * 2021-11-23 2022-01-18 山东钢铁集团日照有限公司 Method, device and equipment for setting parameter threshold of welding seam detection system and storage medium
CN114967626A (en) * 2022-06-15 2022-08-30 浙大城市学院 Multi-source federal environment control method for plant factory crop cultivation
CN115081713A (en) * 2022-06-23 2022-09-20 河北光兴半导体技术有限公司 Plant yield optimization method and plant planting system
CN220056849U (en) * 2023-05-12 2023-11-21 宁夏蓝怡生物工程有限公司 Microorganism regulation and control device for algae product preparation
CN117576804A (en) * 2023-10-19 2024-02-20 东风商用车有限公司 Alarm method, device and equipment for vehicle self-adaptive threshold value and storage medium

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