Environment intelligent regulation and control system and method for container type earthworm three-dimensional breeding

Abstract

The invention discloses an environment intelligent regulation and control system and method for container type earthworm three-dimensional breeding, relates to the technical field of environment regulation and control, and solves the technical problem that in the prior art, basic environment construction cannot be performed according to the material type of breeding equipment in the breeding stage, namely, the thickness of a heat preservation layer cannot be set according to the material type. The basic environment construction unit is used for performing environment setting on container type breeding equipment through basic environment analysis construction, setting the size of the breeding equipment according to a breeding plan, performing thermal conductivity analysis according to the surface material type of the breeding equipment, and performing thermal insulation layer thickness setting according to the thermal conductivity type; the temperature control unit is used for monitoring and controlling the temperature of the breeding equipment; the humidity control unit is used for monitoring and controlling the humidity of the breeding equipment; and the Internet of Things monitoring unit is used for monitoring the breeding environment of the breeding area in the breeding equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental regulation, and in particular to an intelligent environmental regulation system and method for container-type three-dimensional earthworm farming. Background Art

[0002] Intelligent environmental regulation of container-type earthworm farming is a method of precisely controlling and managing the earthworm farming environment using modern technology, aiming to create optimal conditions for earthworm growth and reproduction, and improve farming efficiency and quality.

[0003] However, in the existing technology, it is impossible to construct the basic environment according to the material type of the breeding equipment during the breeding stage, that is, it is impossible to set the thickness of the insulation layer in combination with the material type, which reduces the anti-interference ability of the ambient temperature, and it is impossible to control the temperature and humidity of the breeding equipment based on data collection and analysis, which affects the efficiency of intelligent environmental regulation and reduces the feasibility and controllability of the breeding environment.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose an intelligent environmental control system and method for container-type earthworm three-dimensional farming.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] The environmental intelligent control system for container-type earthworm three-dimensional farming includes a farming management platform, wherein the farming management platform has communication connections with:

[0008] The basic environment construction unit sets the environment for containerized aquaculture equipment through basic environmental analysis and construction, sets the size of the aquaculture equipment according to the aquaculture plan, analyzes the thermal conductivity of the surface material of the aquaculture equipment, and sets the thickness of the insulation layer according to the thermal conductivity type;

[0009] Temperature control unit, which monitors and controls the temperature of the breeding equipment, sets the temperature control process and analyzes and processes the temperature control process decisions;

[0010] Humidity control unit monitors and controls the humidity of breeding equipment, establishes humidity control procedures, and makes decisions on the execution of humidity control procedures based on data collection and analysis;

[0011] The Internet of Things monitoring unit monitors the breeding environment of the breeding area within the breeding equipment.

[0012] As a preferred embodiment of the present invention, the process of the basic environment construction unit is as follows:

[0013] Conduct thermal conductivity assessment; set the ambient temperature fluctuation span, collect the shortening speed of the interval between the temperature inside the aquaculture equipment and the temperature outside the equipment when the current set temperature fluctuates, compare the shortening speed of the interval, and determine high thermal conductivity and low thermal conductivity based on the comparison; when the ambient temperature fluctuation span of the current type of aquaculture equipment continues to fluctuate, collect the maximum deviation of the corresponding temperature value fluctuation speed at adjacent moments in the aquaculture equipment, and determine floating thermal conductivity and stable thermal conductivity based on the comparison;

[0014] According to the thermal conductivity type, the aquaculture equipment material types are divided into high and floating thermal conductivity, high and stable thermal conductivity, low and floating thermal conductivity and low and stable thermal conductivity, and the internal interlayer of the aquaculture equipment material is filled with a polyurethane foam insulation layer to block external heat conduction.

[0015] As a preferred embodiment of the present invention, the thickness of the insulation layer and the corresponding thermal conductivity control span are obtained based on the thermal conductivity control performance of the insulation layer. For aquaculture equipment materials with high and floating thermal conductivity, the corresponding floating mean value of the thermal conductivity of the aquaculture equipment material is collected, and the set thickness of the insulation layer is obtained based on the floating mean value of the thermal conductivity. The corresponding increased thickness of the insulation layer is obtained based on the maximum floating span of the thermal conductivity at adjacent moments, and the thickness of the insulation layer is set based on the increased thickness on the basis of the set thickness.

[0016] For aquaculture equipment materials with high and stable thermal conductivity, collect the thermal conductivity floating peak value of the aquaculture equipment materials; after obtaining the thermal conductivity floating peak value, set the insulation layer according to the required thickness of the corresponding insulation layer;

[0017] For aquaculture equipment materials with low and floating thermal conductivity, the floating stage of the thermal conductivity of the aquaculture equipment materials is collected, and the minimum value of the floating parameter of the thermal conductivity at adjacent moments is used as the setting standard for the thickness of the insulation layer; the basic thickness set by the insulation layer is used. If the current basic thickness can cope with the numerical fluctuation of the thermal conductivity at adjacent moments, the current thickness is used for setting. If the current basic thickness cannot cope with the numerical fluctuation of the thermal conductivity at adjacent moments, the thickness of the insulation layer corresponding to the minimum value of the speed floating parameter at adjacent moments is used as the additional thickness, and the sum of the basic thickness and the additional thickness is set as the thickness of the insulation layer;

[0018] For aquaculture equipment materials with low and stable thermal conductivity, the basic thickness of the insulation layer filling setting is used as the set thickness of the current insulation layer.

[0019] As a preferred embodiment of the present invention, the temperature control unit process is as follows:

[0020] The fluctuation of thermal conductivity inside the aquaculture equipment is used as a temperature processing decision parameter. The predicted fluctuation trend of the temperature outside the aquaculture equipment is collected, and a temperature fluctuation curve is constructed based on the predicted temperature increase and predicted temperature decrease stages. The corresponding adjacent time points with the largest curve slope in the temperature fluctuation curve are selected, and the period between the corresponding time points is marked as a high-span period. The highest value when the thermal conductivity fluctuates during the high-span period is collected, and the constant mean value of the temperature deviation inside and outside the equipment under the current thermal conductivity is also collected.

[0021] As a preferred embodiment of the present invention, if the highest real-time floating span value during the high span period when thermal conductivity fluctuates does not exceed the set floating span threshold, and the number of consecutive moments corresponding to the constant mean value of the internal and external temperature deviation of the device under the current thermal conductivity continues to increase, then the current high span period is marked as a span-independent period.

[0022] If the maximum real-time floating span of thermal conductivity during a high-span period approaches the set floating span threshold, or if the number of consecutive moments of constant mean deviation of internal and external temperatures under the current thermal conductivity does not continue to increase, the current high-span period is marked as a medium-span impact period.

[0023] If the highest real-time floating span value during the high-span period when thermal conductivity fluctuates does not exceed the set floating span threshold, and the number of consecutive moments corresponding to the constant mean value of the internal and external temperature deviation of the device under the current thermal conductivity continues to decrease, then the current high-span period is inferred to be a high-span impact period.

[0024] As a preferred embodiment of the present invention, when in the medium span impact period or the high span impact period, if the high span period shows an increasing trend under the current temperature forecast fluctuation, a temperature treatment decision is made. When the medium span impact period is transformed into the high span impact period, the temperature treatment process of the breeding equipment is adjusted to increase the temperature adjustment span; when the medium span impact period is not generated and the high span impact period is directly entered, the insulation layer of the breeding equipment is inspected and controlled according to the inspection results, specifically by replacing the insulation layer or increasing the thickness.

[0025] As a preferred embodiment of the present invention, the process of the humidity control unit is as follows:

[0026] Monitor the stocking density in the aquaculture equipment, collect the initial stocking density deviation and real-time stocking density deviation corresponding to each aquaculture area in the aquaculture equipment, and infer the current real-time stocking density fluctuation based on the density deviation comparison. If the density deviation exceeds the set deviation threshold, it is marked as the density floating stage; if the density deviation does not exceed the set deviation threshold, it is marked as the density stable stage;

[0027] The maximum deviation value of the breeding density corresponding to the breeding area in the density floating stage is collected, and the descending span of the mean breeding density of the breeding area at each moment in the density stable stage is collected, and the threshold comparison of the collected data is performed.

[0028] As a preferred embodiment of the present invention, if the maximum deviation value of the breeding density corresponding to the breeding area in the density floating stage exceeds the maximum deviation threshold, or the falling span of the mean breeding density of the breeding area at each moment in the density stable stage exceeds the falling span threshold, then when the humidity control process is being executed in the current stage, the humidity control process is adjusted and continued; if the humidity control process is not being executed in the current stage, the humidity control process is executed;

[0029] If the maximum deviation value of the breeding density in the breeding area during the density fluctuation stage does not exceed the maximum deviation threshold, and the downward span of the mean breeding density at each moment in the breeding area during the density stability stage does not exceed the downward span threshold, then when the humidity control process is executed in the current stage, the humidity control process is suspended, and other breeding environment parameters of the breeding density are tested;

[0030] When the humidity control process is not executed at the current stage, the number of humidity monitoring points in the humidity control process is increased and the humidity monitoring interval period in the corresponding range is shortened. After the control is completed, the control process execution decision is made according to the humidity monitoring results.

[0031] As a preferred embodiment of the present invention, the process of the Internet of Things monitoring unit is as follows:

[0032] The temperature and humidity control process is marked as the environmental control process; the duration of the current parameter control trend corresponding to the environmental control process and the floating duration of the actual parameter exceeding the threshold are collected, and the excess value of the duration is obtained based on the duration comparison, and marked as the control trend miscontrol duration; after the excess value of the duration is generated, the peak value of the deviation between the control parameter and the actual parameter threshold during the excess period is collected, and the collected data is analyzed.

[0033] As a preferred embodiment of the present invention, if the excess value of the duration exceeds the set excess threshold, or the deviation peak value of the control parameter and the actual parameter threshold during the excess period exceeds the deviation peak threshold, it is inferred that there is an error in the environmental control process, and the parameter recognition accuracy and response time of the sensor are adjusted; if the excess value of the duration does not exceed the set excess threshold, and the deviation peak value of the control parameter and the actual parameter threshold during the excess period does not exceed the deviation peak threshold, it is inferred that the environmental control process detection is normal.

[0034] The environmental intelligent control method for container-type earthworm three-dimensional farming is as follows:

[0035] Basic environment construction: through basic environment analysis and construction, the environment of containerized aquaculture equipment is set, the size of the aquaculture equipment is set according to the aquaculture plan, and the thermal conductivity is analyzed according to the surface material type of the aquaculture equipment, and the thickness of the insulation layer is set according to the thermal conductivity type;

[0036] Temperature control: monitor and control the temperature of breeding equipment, set the temperature control process and analyze and process the temperature control process decision;

[0037] Humidity control: monitor and control the humidity of breeding equipment, establish humidity control procedures, and make decisions on the execution of humidity control procedures based on data collection and analysis;

[0038] Internet of Things monitoring monitors the breeding environment of the breeding area within the breeding equipment.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. In the present invention, the environment setting of the containerized breeding equipment is constructed through basic environmental analysis to ensure that the breeding environment at the beginning of the breeding stage meets the breeding needs and avoids the environmental impact at the beginning of the breeding stage. The breeding equipment can be pre-set through the basic environmental setting to ensure that the breeding equipment has the function of maintaining the breeding environment, reduce the intensity of breeding environment control, and delay the instantaneous impact caused by abnormal environment of the breeding equipment; it can have a buffer time to cope with environmental changes.

[0041] 2. In the present invention, the temperature of the breeding equipment is monitored and controlled, and targeted control is performed through temperature numerical detection to ensure that the temperature parameters in the breeding equipment can meet the actual breeding needs, ensure the breeding efficiency and avoid abnormal breeding environment that reduces the breeding survival rate; the breeding environment is managed through humidity control, and humidity has an important influence on the breeding of earthworms. The feasibility of the breeding environment can be directly determined according to humidity control, so as to promote the breeding progress of the breeding equipment and improve the breeding efficiency.

[0042] 3. In the present invention, the breeding environment of the breeding area in the breeding equipment is monitored, and the detection and identification are performed according to the breeding environment parameter control process, thereby improving the control efficiency of the breeding environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0044] Figure 1 It is the overall principle block diagram of the present invention;

[0045] Figure 2 A flow chart of the method for constructing a basic environment unit of the present invention. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0047] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0048] See also Figure 1 As shown, the environmental intelligent control system for container-type earthworm three-dimensional farming includes a farming management platform, wherein the farming management platform is communicatively connected to a basic environment construction unit, a temperature control unit, a humidity control unit, and an Internet of Things monitoring unit; and the basic environment construction unit, the temperature control unit, the humidity control unit, and the Internet of Things monitoring unit cooperate with each other to perform environmental monitoring and control for earthworm three-dimensional farming, thereby ensuring the control efficiency of the farming environment;

[0049] The breeding management platform generates a basic environment construction signal and sends the basic environment construction signal to the basic environment construction unit;

[0050] The basic environment construction unit is used to receive the basic environment construction signal and construct the breeding environment after receiving it. The basic environment analysis and construction are used to set the environment of the containerized breeding equipment to ensure that the breeding environment at the beginning of the breeding stage meets the breeding needs and avoid the environmental impact at the beginning of the breeding stage. The breeding equipment can be set in advance through the basic environment setting to ensure that the breeding equipment has the function of maintaining the breeding environment, reduce the intensity of the breeding environment control, and delay the instantaneous impact caused by the abnormal environment of the breeding equipment; it can have a buffer time to cope with environmental changes;

[0051] See also Figure 2 As shown, the size of the aquaculture equipment is set according to the aquaculture plan, and the thermal conductivity analysis is performed based on the surface material type of the aquaculture equipment. The thermal conductivity test uses the temperature fluctuation span inside the aquaculture equipment when the temperature outside the equipment corresponds to the temperature outside the equipment and the temperature outside the equipment fluctuates as the evaluation parameter of the thermal conductivity;

[0052] Thermal conductivity evaluation is conducted based on the aquaculture equipment made of the same type of materials at different ambient temperature stages, where different ambient temperature stages refer to stages with different ambient temperatures during the historical aquaculture process of the aquaculture equipment made of the same type of materials, such as summer and winter.

[0053] Set the ambient temperature fluctuation span. When the current set temperature fluctuates, collect the shortening speed of the interval between the temperature inside the aquaculture equipment and the temperature outside the equipment. Compare the shortening speeds. If the shortening speed exceeds the set speed threshold, the current type of aquaculture equipment is set to high thermal conductivity. Conversely, if the shortening speed does not exceed the set speed threshold, the current type of aquaculture equipment is set to low thermal conductivity.

[0054] When the ambient temperature fluctuation span of the current type of aquaculture equipment continues to fluctuate, the maximum deviation of the corresponding temperature value fluctuation speed at adjacent moments in the aquaculture equipment is collected. If the maximum speed deviation exceeds the set deviation threshold, the current aquaculture equipment is set to floating thermal conductivity; conversely, if the maximum speed deviation does not exceed the set deviation threshold, the current aquaculture equipment is set to stable thermal conductivity.

[0055] According to the thermal conductivity type, the aquaculture equipment material types are divided into high and floating thermal conductivity, high and stable thermal conductivity, low and floating thermal conductivity and low and stable thermal conductivity, and the internal interlayer of the aquaculture equipment material is filled with a polyurethane foam insulation layer to block external heat conduction;

[0056] The thickness of the insulation layer and the corresponding thermal conductivity control span are obtained according to the thermal conductivity control performance of the insulation layer; wherein the relationship between the thickness of the insulation layer and the thermal conductivity control span can be inferred according to the thermal conductivity control performance of the insulation layer;

[0057] For aquaculture equipment materials with high and floating thermal conductivity, the corresponding floating mean value of the thermal conductivity of the aquaculture equipment materials is collected, and the set thickness of the insulation layer is obtained based on the floating mean value of the thermal conductivity; and the corresponding increased thickness of the insulation layer is obtained based on the maximum floating span of the thermal conductivity at adjacent moments, and the thickness of the insulation layer is set based on the increased thickness on the basis of the set thickness;

[0058] For aquaculture equipment materials with high and stable thermal conductivity, the floating peak value of the thermal conductivity of the aquaculture equipment materials is collected. It should be explained that the floating peak value is combined with the actual floating process to eliminate the peak fault phenomenon, so as to avoid occasional floating affecting the floating peak value of thermal conductivity, which makes the insulation layer thickness setting unqualified. After obtaining the floating peak value of thermal conductivity, the insulation layer is set according to the required thickness of the corresponding insulation layer.

[0059] For aquaculture equipment materials with low and floating thermal conductivity, the floating stage of the thermal conductivity of the aquaculture equipment materials is collected, and the minimum value of the floating parameter of the thermal conductivity at adjacent moments is used as the setting standard for the thickness of the insulation layer. It should be explained that the thermal conductivity of this type of material is low, and the thickness of the insulation layer only needs to meet the minimum value of the thermal conductivity fluctuation. In the scenario of low thermal conductivity when floating occurs, the temperature can be controlled in time; the basic thickness set by the insulation layer is that of the lowest thickness at the factory or in historical use. If the current basic thickness can cope with the numerical fluctuation of the thermal conductivity corresponding to the adjacent moments, the current thickness is used for setting. If the current basic thickness cannot cope with the numerical fluctuation of the thermal conductivity corresponding to the adjacent moments, the thickness of the insulation layer corresponding to the minimum value of the speed floating parameter at the adjacent moments is used as the additional thickness, and the sum of the basic thickness and the additional thickness is set as the thickness of the insulation layer;

[0060] For aquaculture equipment materials with low and stable thermal conductivity, the basic thickness of the insulation layer is used as the set thickness of the current insulation layer;

[0061] After the basic environment is built, the insulation layer thickness set in real time will be sent to the breeding management platform, and breeding will be carried out after setting;

[0062] Simultaneously, a temperature control signal is generated and sent to a temperature control unit;

[0063] The temperature control unit is used to receive the temperature control signal and, after receiving it, monitor and control the temperature of the breeding equipment. It performs targeted control through temperature value detection to ensure that the temperature parameters in the breeding equipment can meet the actual breeding needs, ensure the breeding efficiency and avoid abnormal breeding environment that reduces the breeding survival rate;

[0064] The heating and cooling control processes are set up, and the breeding equipment is equipped with carbon fiber floor heating at the bottom (to evenly heat the bottom substrate) and PTC ceramic heating plates on the side walls (for zone control and targeted compensation of cold areas at the edges). Temperature difference linkage control automatically activates the side wall auxiliary heating when the temperature difference between the bottom and top is greater than 2°C to balance the vertical temperature gradient. The top evaporative cooler (uses water evaporation to absorb heat and lower the temperature inside the box) and openable ventilation windows (with insect screens) are used to exhaust hot air in summer.

[0065] Using the fluctuation of thermal conductivity inside the aquaculture equipment as a temperature processing decision parameter, the predicted fluctuation trend of the temperature outside the aquaculture equipment is collected, and a temperature fluctuation curve is constructed based on the predicted temperature increase and predicted temperature decrease stages. The corresponding adjacent time points with the largest slope in the temperature fluctuation curve are selected, and the period between the corresponding time points is marked as a high-span period; the highest value when the thermal conductivity fluctuates during the high-span period is collected, and the constant mean value of the temperature deviation inside and outside the equipment under the current thermal conductivity is collected. The constant mean value indicates that there is no fluctuation in the corresponding deviation for five consecutive adjacent moments, and the time span of the time point is manually set by the administrator based on the implemented temperature detection equipment;

[0066] If the highest real-time floating span of thermal conductivity fluctuations during the high-span period does not exceed the set floating span threshold, and the number of consecutive moments with a constant mean value of the internal and external temperature deviation of the device under the current thermal conductivity continues to increase, the current high-span period is marked as a span-independent period.

[0067] If the maximum real-time floating span of thermal conductivity during a high-span period approaches the set floating span threshold, or if the number of consecutive moments of constant mean deviation of internal and external temperatures under the current thermal conductivity does not continue to increase, the current high-span period is marked as a medium-span impact period.

[0068] If the highest real-time floating span of thermal conductivity fluctuations during the high-span period does not exceed the set floating span threshold, and the number of consecutive moments of constant mean deviation of internal and external temperatures under the current thermal conductivity continues to decrease, the current high-span period is marked as a high-span impact period.

[0069] When in the medium span impact period or the high span impact period, if the high span period shows an increasing trend under the current temperature forecast fluctuation, a temperature treatment decision is made. When the medium span impact period turns into the high span impact period, the temperature treatment process of the breeding equipment is adjusted to increase the temperature adjustment span. When the medium span impact period does not occur and it directly enters the high span impact period, the insulation layer of the breeding equipment is inspected and controlled according to the inspection results, such as replacement or thickness increase.

[0070] After completing the temperature control, a temperature control completion signal is generated and sent to the breeding management platform together with the real-time temperature;

[0071] Simultaneously, a humidity control signal is generated and sent to a humidity control unit;

[0072] The humidity control unit is used to receive the humidity control signal and monitor and control the humidity of the breeding equipment after receiving it. The breeding environment is managed through humidity control. Humidity has an important impact on the breeding of earthworms. According to humidity control, the feasibility of the breeding environment can be directly determined, so as to promote the breeding progress of the breeding equipment and improve the breeding efficiency.

[0073] A humidity control process is set up for the breeding equipment. In the humidification process, an independent ultrasonic humidifier array is installed on each floor with a response time of less than 3 minutes to ensure uniform humidity on each floor (60%-80%±5%). In the dehumidification process, the negative pressure dehumidification system is linked with CO2 emission (when the CO2 concentration exceeds the standard, dehumidification and ventilation are synchronized) to avoid high humidity and hypoxia.

[0074] Direct humidity detection during actual humidity control cannot avoid the sporadic nature of detection data, which can easily lead to frequent execution of humidity control procedures and a decrease in humidity control efficiency.

[0075] First, the humidity value in the breeding equipment is regularly tested and the control process is executed according to the test results. At the same time, the breeding density in the breeding equipment is monitored, and the initial breeding density deviation and the real-time breeding density deviation corresponding to each breeding area in the breeding equipment are collected. The fluctuation of the current real-time breeding density is inferred based on the density deviation comparison. If the density deviation exceeds the set deviation threshold, it is marked as a density floating stage; if the density deviation does not exceed the set deviation threshold, it is marked as a density stable stage. The thresholds used in this application are all values manually set by those skilled in the art in actual operation based on operating experience or historical operation data evaluation;

[0076] The maximum deviation value of the aquaculture density corresponding to the aquaculture area during the density fluctuation stage is collected, and the descending span of the mean aquaculture density at each moment in the density stability stage is collected, and the collected data are compared with the threshold value:

[0077] If the maximum deviation value of the breeding density corresponding to the breeding area in the density floating stage exceeds the maximum deviation threshold, or the downward span of the mean breeding density of the breeding area at each moment in the density stable stage exceeds the downward span threshold, then when the humidity control process is executed in the current stage, the humidity control process is adjusted and continued. The adjustment can be a response time adjustment or a detection cycle adjustment. If the humidity control process is not executed in the current stage, the humidity control process is executed;

[0078] If the maximum deviation value of the breeding density corresponding to the breeding area in the density floating stage does not exceed the maximum deviation threshold, and the downward span of the mean breeding density of the breeding area at each moment in the density stable stage does not exceed the downward span threshold, then when the humidity control process is executed in the current stage, the humidity control process is suspended, and other breeding environment parameters of the breeding density are tested; when the humidity control process is not executed in the current stage, the number of humidity monitoring points in the humidity control process is increased and the humidity monitoring interval period of the corresponding range is shortened, and after the control is completed, the control process execution decision is made according to the humidity monitoring results;

[0079] After the temperature and humidity control are completed, the breeding management platform generates an IoT monitoring signal and sends the IoT monitoring signal to the IoT monitoring unit;

[0080] After receiving the IoT monitoring signal, the IoT monitoring unit monitors the breeding environment in the breeding area of the breeding equipment and controls the process for detection and identification based on the breeding environment parameters, thereby improving the control efficiency of the breeding environment.

[0081] The temperature and humidity control process is labeled as the environmental control process. In this application, temperature and humidity are used as the main detection environmental parameters. Other environmental parameters in the earthworm breeding stage are applicable to this system.

[0082] Collect the duration of the current parameter control trend corresponding to the environmental control process and the floating duration of the actual parameter exceeding the threshold, and obtain the excess value based on the duration comparison, and mark it as the control trend miscontrol duration. When the temperature is lower than the threshold, heating is continued even after reaching the set threshold;

[0083] After the extra value is generated during the acquisition time, the peak deviation between the control parameter and the actual parameter threshold is calculated during the extra period, and the acquired data is analyzed:

[0084] If the excess value of the duration exceeds the set excess threshold, or the deviation peak value between the control parameter and the actual parameter threshold during the excess period exceeds the deviation peak threshold, it is inferred that there is an error in the environmental control process, and the parameter recognition accuracy and response time of the sensor are adjusted to speed up the response speed of parameter collection, and the completed adjustment of the thickness sensor collection rule is sent to the breeding management platform;

[0085] If the excess duration value does not exceed the set excess threshold, and the deviation peak value between the control parameter and the actual parameter threshold during the excess period does not exceed the deviation peak threshold, it is inferred that the environmental control process detection is normal.

[0086] The environmental intelligent control method for container-type earthworm three-dimensional farming is as follows:

[0087] Basic environment construction: through basic environment analysis and construction, the environment of containerized aquaculture equipment is set, the size of the aquaculture equipment is set according to the aquaculture plan, and the thermal conductivity is analyzed according to the surface material type of the aquaculture equipment, and the thickness of the insulation layer is set according to the thermal conductivity type;

[0088] Temperature control: monitor and control the temperature of breeding equipment, set the temperature control process and analyze and process the temperature control process decision;

[0089] Humidity control: monitor and control the humidity of breeding equipment, establish humidity control procedures, and make decisions on the execution of humidity control procedures based on data collection and analysis;

[0090] Internet of Things monitoring monitors the breeding environment of the breeding area within the breeding equipment.

[0091] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to specific embodiments. Obviously, many modifications and variations are possible based on the contents of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent environmental control system for container-type earthworm three-dimensional farming, characterized in that: Including the breeding management platform, the communication connections of the breeding management platform are: The basic environment construction unit sets the environment for containerized aquaculture equipment through basic environmental analysis and construction, sets the size of the aquaculture equipment according to the aquaculture plan, analyzes the thermal conductivity of the surface material of the aquaculture equipment, and sets the thickness of the insulation layer according to the thermal conductivity type; Temperature control unit, which monitors and controls the temperature of the breeding equipment, sets the temperature control process and analyzes and processes the temperature control process decisions; Humidity control unit monitors and controls the humidity of breeding equipment, establishes humidity control procedures, and makes decisions on the execution of humidity control procedures based on data collection and analysis; The Internet of Things monitoring unit monitors the breeding environment of the breeding area within the breeding equipment.

2. The environmental intelligent control system for container-type earthworm three-dimensional farming according to claim 1 is characterized in that: The process of building a basic environment unit is as follows: Conduct thermal conductivity assessment; set the ambient temperature fluctuation span, collect the shortening speed of the interval between the temperature inside the aquaculture equipment and the temperature outside the equipment when the current set temperature fluctuates, compare the shortening speed of the interval, and determine high thermal conductivity and low thermal conductivity based on the comparison; when the ambient temperature fluctuation span of the current type of aquaculture equipment continues to fluctuate, collect the maximum deviation of the corresponding temperature value fluctuation speed at adjacent moments in the aquaculture equipment, and determine floating thermal conductivity and stable thermal conductivity based on the comparison; According to the thermal conductivity type, the aquaculture equipment material types are divided into high and floating thermal conductivity, high and stable thermal conductivity, low and floating thermal conductivity and low and stable thermal conductivity, and the internal interlayer of the aquaculture equipment material is filled with a polyurethane foam insulation layer to block external heat conduction.

3. The intelligent environmental control system for container-type earthworm three-dimensional farming according to claim 2 is characterized in that: The thickness of the insulation layer and the corresponding thermal conductivity control span are determined based on the thermal conductivity control performance of the insulation layer. For aquaculture equipment materials with high and floating thermal conductivity, the corresponding floating mean value of the thermal conductivity of the aquaculture equipment material is collected, and the set thickness of the insulation layer is determined based on the floating mean value of the thermal conductivity. The corresponding increased thickness of the insulation layer is obtained based on the maximum floating span of the thermal conductivity at adjacent moments, and the thickness of the insulation layer is set based on the increased thickness on the basis of the set thickness. For aquaculture equipment materials with high and stable thermal conductivity, collect the thermal conductivity floating peak value of the aquaculture equipment materials; after obtaining the thermal conductivity floating peak value, set the insulation layer according to the required thickness of the corresponding insulation layer; For aquaculture equipment materials with low and floating thermal conductivity, the floating stage of the thermal conductivity of the aquaculture equipment materials is collected, and the minimum value of the floating parameter of the thermal conductivity at adjacent moments is used as the setting standard for the thickness of the insulation layer; the basic thickness set by the insulation layer is used. If the current basic thickness can cope with the numerical fluctuation of the thermal conductivity at adjacent moments, the current thickness is used for setting. If the current basic thickness cannot cope with the numerical fluctuation of the thermal conductivity at adjacent moments, the thickness of the insulation layer corresponding to the minimum value of the speed floating parameter at adjacent moments is used as the additional thickness, and the sum of the basic thickness and the additional thickness is set as the thickness of the insulation layer; For aquaculture equipment materials with low and stable thermal conductivity, the basic thickness of the insulation layer filling setting is used as the set thickness of the current insulation layer.

4. The intelligent environmental control system for container-type earthworm three-dimensional farming according to claim 3 is characterized in that: The temperature control unit process is as follows: The fluctuation of thermal conductivity inside the aquaculture equipment is used as a temperature processing decision parameter. The predicted fluctuation trend of the temperature outside the aquaculture equipment is collected, and a temperature fluctuation curve is constructed based on the predicted temperature increase and predicted temperature decrease stages. The corresponding adjacent time points with the largest curve slope in the temperature fluctuation curve are selected, and the period between the corresponding time points is marked as a high-span period. The highest value when the thermal conductivity fluctuates during the high-span period is collected, and the constant mean value of the temperature deviation inside and outside the equipment under the current thermal conductivity is also collected.

5. The intelligent environmental control system for container-type earthworm three-dimensional farming according to claim 4 is characterized in that: If the highest real-time floating span of thermal conductivity fluctuations during the high-span period does not exceed the set floating span threshold, and the number of consecutive moments with a constant mean value of the internal and external temperature deviation of the device under the current thermal conductivity continues to increase, the current high-span period is marked as a span-independent period. If the maximum real-time floating span of thermal conductivity during a high-span period approaches the set floating span threshold, or if the number of consecutive moments of constant mean deviation of internal and external temperatures under the current thermal conductivity does not continue to increase, the current high-span period is marked as a medium-span impact period. If the highest real-time floating span value during the high-span period when thermal conductivity fluctuates does not exceed the set floating span threshold, and the number of consecutive moments corresponding to the constant mean value of the internal and external temperature deviation of the device under the current thermal conductivity continues to decrease, then the current high-span period is inferred to be a high-span impact period.

6. The intelligent environmental control system for container-type earthworm three-dimensional farming according to claim 5 is characterized in that: When in the medium span impact period or the high span impact period, if the high span period shows an increasing trend under the current temperature forecast fluctuation, a temperature treatment decision is made. When the medium span impact period turns into the high span impact period, the temperature treatment process of the breeding equipment is adjusted to increase the temperature adjustment span; when there is no medium span impact period and it directly enters the high span impact period, the insulation layer of the breeding equipment is inspected and controlled according to the inspection results, specifically replacing the insulation layer or increasing the thickness.

7. The intelligent environmental control system for container-type earthworm three-dimensional farming according to claim 6 is characterized in that: The process of the humidity control unit is as follows: Monitor the stocking density in the aquaculture equipment, collect the initial stocking density deviation and real-time stocking density deviation corresponding to each aquaculture area in the aquaculture equipment, and infer the current real-time stocking density fluctuation based on the density deviation comparison. If the density deviation exceeds the set deviation threshold, it is marked as the density floating stage; if the density deviation does not exceed the set deviation threshold, it is marked as the density stable stage; The maximum deviation value of the breeding density corresponding to the breeding area in the density floating stage is collected, and the descending span of the mean breeding density of the breeding area at each moment in the density stable stage is collected, and the threshold comparison of the collected data is performed.

8. The intelligent environmental control system for container-type earthworm three-dimensional farming according to claim 7 is characterized in that: If the maximum deviation value of the breeding density in the breeding area during the density fluctuation stage exceeds the maximum deviation threshold, or the downward span of the mean breeding density at each moment in the breeding area during the density stability stage exceeds the downward span threshold, then when the humidity control process is being executed in the current stage, the humidity control process is adjusted and continued; if the humidity control process is not being executed in the current stage, the humidity control process is executed; If the maximum deviation value of the breeding density in the breeding area during the density fluctuation stage does not exceed the maximum deviation threshold, and the downward span of the mean breeding density at each moment in the breeding area during the density stability stage does not exceed the downward span threshold, then when the humidity control process is executed in the current stage, the humidity control process is suspended, and other breeding environment parameters of the breeding density are tested; When the humidity control process is not executed at the current stage, the number of humidity monitoring points in the humidity control process is increased and the humidity monitoring interval period in the corresponding range is shortened. After the control is completed, the control process execution decision is made according to the humidity monitoring results.

9. The intelligent environmental control system for container-type earthworm three-dimensional farming according to claim 8 is characterized in that: The process of IoT monitoring unit is as follows: The temperature and humidity control process is marked as the environmental control process; the duration of the current parameter control trend corresponding to the environmental control process and the floating duration of the actual parameter exceeding the threshold are collected, and the excess value is obtained based on the comparison of the duration and marked as the control trend miscontrol duration; After the excess value of the collection duration is generated, the peak value of the deviation between the control parameter and the actual parameter threshold during the excess period is collected, and the collected data is analyzed; if the excess value of the duration exceeds the set excess threshold, or the peak value of the deviation between the control parameter and the actual parameter threshold during the excess period exceeds the deviation peak threshold, it is inferred that there is an error in the environmental control process, and the parameter recognition accuracy and response time of the sensor are adjusted; if the excess value of the duration does not exceed the set excess threshold, and the peak value of the deviation between the control parameter and the actual parameter threshold during the excess period does not exceed the deviation peak threshold, it is inferred that the environmental control process detection is normal.

10. An intelligent environmental control method for container-type earthworm three-dimensional farming, characterized in that: An intelligent environmental control system for container-type earthworm three-dimensional farming as described in any one of claims 1 to 9.

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