Environment intelligent regulation system and method for containerized earthworm three-dimensional breeding

Abstract

The application discloses an environmental intelligent regulation and control system and method for container type earthworm three-dimensional breeding, relates to the technical field of environmental regulation and control, and solves the technical problem that in the prior art, the basic environment cannot be constructed according to the type of breeding equipment material in the breeding stage, that is, the thickness of the heat preservation layer cannot be set in combination with the type of material, specifically, a basic environment construction unit sets the environment of the container type breeding equipment through basic environment analysis and construction, sets the size of the breeding equipment according to breeding planning, analyzes the heat conductivity according to the surface material type of the breeding equipment, and sets the thickness of the heat preservation layer according to the heat conductivity type; a temperature control unit controls the temperature of the breeding equipment; a humidity control unit controls the humidity of the breeding equipment; and an internet of things monitoring unit monitors the breeding environment of the breeding area in the breeding equipment.

Description

Technical Field

[0001] This invention relates to the field of environmental control technology, specifically to an intelligent environmental control system and method for containerized three-dimensional earthworm farming. Background Technology

[0002] Intelligent environmental control in containerized three-dimensional earthworm farming is a method that uses modern technology to precisely control and manage the earthworm farming environment, 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 according to the material type, which reduces the environmental temperature resistance to interference. Furthermore, 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] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above by proposing an intelligent environmental control system and method for containerized three-dimensional earthworm farming.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] An intelligent environmental control system for containerized three-dimensional earthworm farming includes a farming management platform, wherein the farming management platform has the following communication connections:

[0008] The basic environment construction unit sets the environment for containerized aquaculture equipment through basic environment analysis, 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 monitors and controls the temperature of aquaculture equipment, sets temperature control procedures, and analyzes and processes the decisions of temperature control procedures.

[0010] The humidity control unit monitors and controls the humidity of the aquaculture 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 (IoT) monitoring unit monitors the breeding environment in the breeding area within the breeding equipment.

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

[0013] Conduct thermal conductivity assessment; set the ambient temperature fluctuation range, and collect the rate at which the interval between the temperature inside and outside the breeding equipment shortens when the current set temperature fluctuates. Compare the rate at which the interval shortens and obtain high thermal conductivity and low thermal conductivity based on the comparison; when the ambient temperature fluctuation range of the current type of breeding equipment continues to fluctuate, collect the maximum deviation value of the fluctuation rate of the corresponding temperature values ​​at adjacent moments inside the breeding equipment, and obtain floating thermal conductivity and stable thermal conductivity based on the comparison.

[0014] Based on their thermal conductivity, the materials used in aquaculture equipment are classified into high and floating thermal conductivity, high and stable thermal conductivity, low and floating thermal conductivity, and low and stable thermal conductivity. The internal interlayer of the aquaculture equipment materials is filled with a polyurethane foam insulation layer to block external heat conduction.

[0015] In 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 fluctuating thermal conductivity, the average fluctuation 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 average fluctuation value of thermal conductivity; and the corresponding increase in insulation layer thickness is obtained based on the maximum fluctuation span of thermal conductivity at adjacent times, and the insulation layer thickness is set based on the increase in thickness on the basis of the set thickness.

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

[0017] For aquaculture equipment materials with low and fluctuating thermal conductivity, the fluctuation stage of thermal conductivity of the aquaculture equipment materials is collected, and the minimum value of the fluctuation parameter of thermal conductivity at adjacent time moments is used as the standard for setting the thickness of the insulation layer. The insulation layer is filled with a set base thickness. If the current base thickness can cope with the numerical fluctuation of thermal conductivity at adjacent time moments, the current thickness is used as the setting. If the current base thickness cannot cope with the numerical fluctuation of thermal conductivity at adjacent time moments, the insulation layer thickness corresponding to the minimum value of the velocity fluctuation parameter at adjacent time moments is used as the additional thickness, and the sum of the base 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 base thickness of the insulation layer is used as the current insulation layer thickness.

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

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

[0021] As a preferred embodiment of the present invention, if the highest real-time fluctuation range of thermal conductivity during a high-span period does not exceed the set fluctuation range threshold, and the number of consecutive moments corresponding to the constant average value of the temperature deviation inside and outside the device under the current thermal conductivity continues to increase, then the current high-span period is marked as a period with no impact on the span.

[0022] If the highest real-time fluctuation range of thermal conductivity during a high span period is close to the set fluctuation range threshold, or if the number of consecutive moments corresponding to the constant average temperature deviation inside and outside the equipment under the current thermal conductivity does not continue to increase, then the current high span period is marked as the period of influence in the span.

[0023] If the highest real-time fluctuation range of thermal conductivity during a high-span period does not exceed the set fluctuation range threshold, and the number of consecutive moments corresponding to the constant average temperature deviation inside and outside the equipment under the current thermal conductivity continues to decrease, then the current high-span period will be inferred to be a period of high span impact.

[0024] In a preferred embodiment of the present invention, when the temperature is in a period of moderate or high influence, if the current temperature forecast shows an increasing trend in the high-span period, a temperature treatment decision is made. When the period of moderate influence changes to the period of high influence, the temperature treatment process of the aquaculture equipment is adjusted to increase the temperature regulation span. When the period of moderate influence does not occur and the temperature directly enters the period of high influence, the insulation layer of the aquaculture equipment is inspected and controlled according to the inspection results, specifically by replacing the insulation layer or increasing its thickness.

[0025] In a preferred embodiment of the present invention, the humidity control unit operates as follows:

[0026] Monitoring is conducted based on the stocking density within the aquaculture equipment. The initial stocking density deviation and real-time stocking density deviation of each aquaculture area within the aquaculture equipment are collected. The fluctuation of the current real-time stocking density is inferred based on the comparison of density deviations. If the density deviation exceeds the set deviation threshold, it is marked as a density fluctuation stage; if the density deviation does not exceed the set deviation threshold, it is marked as a density stable stage.

[0027] The maximum deviation of the stocking density in the stocking area during the density fluctuation phase was collected, and the decrease range of the average stocking density in the stocking area at each time point during the density stabilization phase was also collected. The collected data were then compared with threshold values.

[0028] In a preferred embodiment of the present invention, if the maximum deviation of the breeding density corresponding to the breeding area exceeds the maximum deviation threshold during the density fluctuation stage, or if the decrease span of the average breeding density of the breeding area at each time point exceeds the decrease span threshold during the density stabilization stage, then when the humidity control process is executed in the current stage, the humidity control process is adjusted and continues; when the humidity control process is not executed in the current stage, the humidity control process is executed.

[0029] If the maximum deviation of the breeding density in the breeding area during the density fluctuation phase does not exceed the maximum deviation threshold, and the decrease span of the average breeding density in the breeding area at each time point during the density stabilization phase does not exceed the decrease span threshold, then when the humidity control process is executed in the current phase, the humidity control process will be paused, and other breeding environment parameters of the breeding density will be detected.

[0030] When the humidity control process is not currently being implemented, the number of humidity monitoring points for the humidity control process will be increased and the humidity monitoring interval for the corresponding range will be shortened. After the adjustment is completed, the decision to implement the control process will be made based on the humidity monitoring results.

[0031] As a preferred embodiment of the present invention, the process of the IoT 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. The excess duration is obtained by comparing the durations and marked as the control trend miscontrol duration. The peak deviation between the control parameter and the actual parameter threshold is collected during the excess duration period after the excess duration is generated, and the collected data is analyzed.

[0033] In a preferred embodiment of the present invention, if the excess duration exceeds a set excess threshold, or if the peak deviation between the control parameter and the actual parameter threshold during the excess time period exceeds the peak deviation 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 duration does not exceed the set excess threshold, and the peak deviation between the control parameter and the actual parameter threshold during the excess time period does not exceed the peak deviation threshold, it is inferred that the environmental control process is functioning normally.

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

[0035] Basic environment construction involves setting the environment for containerized aquaculture equipment through basic environment analysis, determining the size of the aquaculture equipment according to the aquaculture plan, conducting thermal conductivity analysis based on the surface material type of the aquaculture equipment, and setting the insulation layer thickness based on the thermal conductivity type.

[0036] Temperature control involves monitoring and controlling the temperature of aquaculture equipment, setting temperature control procedures, and analyzing and processing the decisions made regarding these procedures.

[0037] Humidity control involves monitoring and controlling the humidity of aquaculture equipment, establishing humidity control procedures, and making decisions on the execution of humidity control procedures based on data collection and analysis.

[0038] The Internet of Things (IoT) monitors the breeding environment within the breeding areas of the breeding equipment.

[0039] Compared with the prior art, the beneficial effects of the present invention are:

[0040] 1. In this invention, the environmental settings of containerized aquaculture equipment are constructed through basic environmental analysis to ensure that the aquaculture environment at the beginning of the aquaculture stage meets the aquaculture requirements and avoids the environmental impact at the beginning of the aquaculture stage. The basic environmental settings can pre-set the aquaculture equipment to ensure that the aquaculture equipment has the function of maintaining the aquaculture environment, reduce the intensity of aquaculture environment control, delay the instantaneous impact caused by abnormal environment when the aquaculture equipment is located, and have the buffer time to cope with environmental changes.

[0041] 2. In this invention, temperature monitoring and control are implemented on the breeding equipment. Targeted control is achieved through temperature value detection to ensure that the temperature parameters within the breeding equipment meet the actual breeding needs, thereby ensuring breeding efficiency and preventing abnormal breeding environments from reducing the survival rate. Humidity control is used to manage the breeding environment, and humidity has a significant impact on earthworm breeding. Humidity control can directly determine the feasibility of the breeding environment, thereby promoting the breeding progress of the breeding equipment and improving breeding efficiency.

[0042] 3. In this invention, the breeding environment of the breeding area within the breeding equipment is monitored, and the process is controlled and identified based on the breeding environment parameters, thereby improving the control efficiency of the breeding environment. Attached Figure Description

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

[0044] Figure 1 This is a schematic diagram of the overall principle of the present invention;

[0045] Figure 2 This is a flowchart of the method for building the basic environment unit of the present invention. Detailed Implementation

[0046] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

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

[0048] Please see Figure 1 As shown, the intelligent environmental control system for containerized three-dimensional earthworm farming includes a farming management platform, which is communicatively connected to a basic environmental construction unit, a temperature control unit, a humidity control unit, and an IoT monitoring unit. The basic environmental construction unit, temperature control unit, humidity control unit, and IoT monitoring unit work together to monitor and control the environment for three-dimensional earthworm farming, ensuring the efficiency of the farming environment control.

[0049] The aquaculture 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 receives basic environment construction signals and constructs the aquaculture environment upon receipt. Through basic environment analysis and construction, it sets the environment for containerized aquaculture equipment to ensure that the aquaculture environment meets the aquaculture requirements at the start of the aquaculture stage, avoiding environmental impacts during the initial stage. The basic environment setting allows for pre-setting of the aquaculture equipment, ensuring it has the function of maintaining the aquaculture environment, reducing the intensity of environmental control, and delaying the instantaneous impact of environmental anomalies. It also provides buffer time to cope with environmental changes.

[0051] Please see Figure 2 As shown, the size of the breeding equipment is set according to the breeding plan, and the thermal conductivity is analyzed according to the surface material type of the breeding equipment. The thermal conductivity is tested by taking the temperature fluctuation range of the internal temperature of the breeding equipment as the evaluation parameter when the internal temperature of the breeding equipment corresponds to the external temperature of the equipment and the external temperature fluctuates.

[0052] Thermal conductivity of aquaculture equipment made of the same type of materials was evaluated at different ambient temperature stages. Different ambient temperature stages refer to different stages of ambient temperature during the historical aquaculture process of the same type of materials, such as summer and winter.

[0053] Set the ambient temperature fluctuation range. When the current set temperature fluctuates, collect the rate at which the interval between the temperature inside and outside the breeding equipment shortens. Compare the rate at which the interval shortens. If the rate at which the interval shortens exceeds the set speed threshold, then the current type of breeding equipment is set to high thermal conductivity; otherwise, if the rate at which the interval shortens does not exceed the set speed threshold, then the current type of breeding equipment is set to low thermal conductivity.

[0054] When the ambient temperature of the current type of aquaculture equipment fluctuates continuously, the maximum deviation of the fluctuation rate of the corresponding temperature values ​​at adjacent moments in the aquaculture equipment is collected. If the maximum deviation rate exceeds the set deviation threshold, the current aquaculture equipment is set to floating thermal conductivity; otherwise, if the maximum deviation rate does not exceed the set deviation threshold, the current aquaculture equipment is set to stable thermal conductivity.

[0055] Based on the thermal conductivity type, the materials of aquaculture equipment are classified into high and floating thermal conductivity, high and stable thermal conductivity, low and floating thermal conductivity, and low and stable thermal conductivity. The internal interlayer of the aquaculture equipment materials is filled with polyurethane foam insulation layer to block external heat conduction.

[0056] The relationship between the thickness of the insulation layer and the corresponding thermal conductivity control range can be derived from the thermal conductivity control performance of the insulation layer; the relationship between the thickness of the insulation layer and the thermal conductivity control range can be inferred from the thermal conductivity control performance of the insulation layer.

[0057] For aquaculture equipment materials with high and fluctuating thermal conductivity, the average fluctuation 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 average fluctuation value of thermal conductivity; the corresponding increase in insulation layer thickness is obtained based on the maximum fluctuation span of thermal conductivity between adjacent times, and the insulation layer thickness is set based on the increase in 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 noted that the floating peak value is combined with the actual floating process to eliminate peak discontinuity and avoid occasional floating values ​​affecting the thermal conductivity, which could lead to unqualified insulation layer thickness settings. After obtaining the floating peak value of thermal conductivity, the insulation layer thickness is set according to the required thickness of the corresponding insulation layer.

[0059] For aquaculture equipment materials with low and fluctuating thermal conductivity, the fluctuation stage of thermal conductivity of the aquaculture equipment materials is collected. The minimum value of the fluctuation parameter of thermal conductivity at adjacent moments is used as the standard for setting the thickness of the insulation layer. It should be explained that this type of material has low thermal conductivity, and the thickness of the insulation layer only needs to meet the minimum value of thermal conductivity fluctuation. In scenarios where the thermal conductivity is low during fluctuation, temperature can be adjusted in a timely manner. The base thickness of the insulation layer is set, that is, the minimum thickness at the factory or in historical use. If the current base thickness can cope with the value fluctuation of thermal conductivity at adjacent moments, the current thickness is used as the setting. If the current base thickness cannot cope with the value fluctuation of thermal conductivity at adjacent moments, the insulation layer thickness corresponding to the minimum value of the velocity fluctuation parameter at adjacent moments is used as the additional thickness. The sum of the base 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 base thickness of the insulation layer is used as the current insulation layer thickness.

[0061] After completing the basic environment construction, the real-time set insulation layer thickness is sent to the aquaculture management platform, and aquaculture is carried out after setting it.

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

[0063] The temperature control unit is used to receive temperature control signals and, upon receiving them, monitor and control the temperature of the aquaculture equipment. It performs targeted control through temperature value detection to ensure that the temperature parameters inside the aquaculture equipment meet the actual aquaculture needs, thereby ensuring aquaculture efficiency and preventing abnormal aquaculture environments from reducing the survival rate of aquaculture.

[0064] The heating and cooling control procedures are set up, and the breeding equipment is equipped with bottom carbon fiber floor heating (evenly heating the bottom substrate), side wall PTC ceramic heating elements (zone control, targeted compensation for cold edge areas), and temperature difference linkage control. When the temperature difference between the bottom and the top is >2℃, the side wall auxiliary heating is automatically activated to balance the vertical temperature gradient; the top evaporative cooler (using water evaporation to absorb heat and reduce the temperature inside the box) + openable ventilation window (with insect screen) 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 external temperature of the aquaculture equipment is collected, and a temperature fluctuation curve is constructed based on the predicted temperature increase and decrease stages. The adjacent time points with the largest slope of the temperature fluctuation curve are selected, and the time period between the corresponding time points is marked as a high span period. The highest value of thermal conductivity when fluctuation occurs within the high span period is collected. At the same time, the constant average value of the temperature deviation inside and outside the equipment under the current thermal conductivity is collected. The constant average value is represented by no fluctuation in the deviation corresponding to five consecutive adjacent time points, and the time span of the time points is manually set by the administrator according to the temperature detection equipment implemented.

[0066] If the highest real-time fluctuation range of thermal conductivity during a high-span period does not exceed the set fluctuation range threshold, and the number of consecutive moments corresponding to the constant average temperature deviation between the inside and outside of the equipment under the current thermal conductivity continues to increase, then the current high-span period will be marked as a period with no impact on the span.

[0067] If the highest real-time fluctuation range of thermal conductivity during a high span period is close to the set fluctuation range threshold, or if the number of consecutive moments corresponding to the constant average temperature deviation inside and outside the equipment under the current thermal conductivity does not continue to increase, then the current high span period is marked as the period of influence in the span.

[0068] If the highest real-time fluctuation range of thermal conductivity during a high-span period does not exceed the set fluctuation range threshold, and the number of consecutive moments corresponding to the constant average value of the temperature deviation inside and outside the equipment under the current thermal conductivity continues to decrease, then the current high-span period is marked as a high-span impact period.

[0069] When the temperature is in a period of moderate or high impact, if the current temperature forecast shows an increasing trend in the high-span period, a temperature control decision will be made. When the period of moderate impact changes into the period of high impact, the temperature control procedures for the aquaculture equipment will be adjusted to increase the temperature regulation range. When the aquaculture equipment directly enters the period of high impact without a period of moderate impact, the insulation layer of the aquaculture equipment will be inspected and controlled according to the inspection results, such as replacing it or increasing its thickness.

[0070] After temperature control is completed, a temperature control completion signal is generated and sent to the aquaculture management platform along with the real-time temperature.

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

[0072] The humidity control unit is used to receive humidity control signals and monitor and control the humidity of the breeding equipment. Humidity control manages the breeding environment, and humidity has a significant impact on earthworm breeding. Humidity control can directly determine the feasibility of the breeding environment, so as to promote the breeding progress of the breeding equipment and improve breeding efficiency.

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

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

[0075] First, the humidity levels inside the aquaculture equipment are regularly monitored, and the control procedures are implemented based on the monitoring results. Simultaneously, the stocking density inside the aquaculture equipment is monitored, and the initial and real-time stocking density deviations for each aquaculture area are collected. The fluctuation of the current real-time stocking density is inferred by comparing these deviations. If the density deviation exceeds a set deviation threshold, it is marked as a density fluctuation 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 ​​set manually by those skilled in the art based on operational experience or historical operating data during actual operation.

[0076] The maximum deviation of the stocking density in the stocking area during the density fluctuation phase was collected, and the decrease range of the mean stocking density at each time point in the stocking area during the density stabilization phase was also collected. Threshold comparisons were then performed on the collected data.

[0077] If the maximum deviation of the breeding density in the breeding area exceeds the maximum deviation threshold during the density fluctuation phase, or if the decrease span of the average breeding density at each time point in the breeding area exceeds the decrease span threshold during the density stabilization phase, then when the humidity control procedure is executed in the current phase, the humidity control procedure will be adjusted and continuously performed. The adjustment can be a response time adjustment or a detection cycle adjustment; when the humidity control procedure is not executed in the current phase, the humidity control procedure will be executed.

[0078] If the maximum deviation of the breeding density in the breeding area during the density fluctuation phase does not exceed the maximum deviation threshold, and the decrease span of the average breeding density in the breeding area at each time point during the density stabilization phase does not exceed the decrease span threshold, then when the humidity control procedure is executed in the current phase, the humidity control procedure is paused, and other breeding environment parameters of the breeding density are detected; when the humidity control procedure is not executed in the current phase, the number of humidity monitoring points for the humidity control procedure is increased and the humidity monitoring interval cycle for the corresponding range is shortened, and after the adjustment is completed, the decision to execute the control procedure is made based on the humidity monitoring results.

[0079] After the aquaculture management platform completes temperature and humidity control, it 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 marked as the environmental control process. In this application, temperature and humidity are used as the main environmental parameters to be detected. Other environmental parameters in the earthworm breeding stage are also applicable to this system.

[0082] The system collects the duration of the current parameter control trend corresponding to the environmental control process and the fluctuation duration of the actual parameter exceeding the threshold. It then compares the durations to obtain the excess duration and marks it as the duration of incorrect control trend. When the temperature is below the threshold, it heats up and continues to heat up after reaching the set threshold.

[0083] After the extra values ​​of the collection duration are generated, the peak deviation between the control parameter and the actual parameter threshold is collected during the extra time period, and the collected data is analyzed:

[0084] If the duration exceeds the set threshold, or if the peak deviation between the control parameter and the actual parameter threshold exceeds the peak deviation threshold during the excess period, it is inferred that there is an error in the environmental control process. The parameter recognition accuracy and response time of the sensor are adjusted to speed up the parameter acquisition reaction speed, and the adjusted thickness sensor acquisition rules are sent to the aquaculture management platform.

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

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

[0087] Basic environment construction involves setting the environment for containerized aquaculture equipment through basic environment analysis, determining the size of the aquaculture equipment according to the aquaculture plan, conducting thermal conductivity analysis based on the surface material type of the aquaculture equipment, and setting the insulation layer thickness based on the thermal conductivity type.

[0088] Temperature control involves monitoring and controlling the temperature of aquaculture equipment, setting temperature control procedures, and analyzing and processing the decisions made regarding these procedures.

[0089] Humidity control involves monitoring and controlling the humidity of aquaculture equipment, establishing humidity control procedures, and making decisions on the execution of humidity control procedures based on data collection and analysis.

[0090] The Internet of Things (IoT) monitors the breeding environment within the breeding areas of the breeding equipment.

[0091] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent environmental control system for containerized three-dimensional earthworm farming, characterized in that, This includes a breeding management platform, whose communication connections include: The basic environment construction unit sets up the environment for the containerized aquaculture equipment through basic environmental analysis. It determines the equipment's dimensions based on the aquaculture plan and analyzes the thermal conductivity of the surface materials, then sets the insulation layer thickness accordingly. The process of the basic environment construction unit is as follows: Conduct thermal conductivity assessment; set the ambient temperature fluctuation range, and collect the rate at which the interval between the temperature inside and outside the breeding equipment shortens when the current set temperature fluctuates. Compare the rate at which the interval shortens and obtain high thermal conductivity and low thermal conductivity based on the comparison; when the ambient temperature fluctuation range of the current type of breeding equipment continues to fluctuate, collect the maximum deviation value of the fluctuation rate of the corresponding temperature values ​​at adjacent moments inside the breeding equipment, and obtain floating thermal conductivity and stable thermal conductivity based on the comparison. Based on the thermal conductivity type, the materials of aquaculture equipment are classified into high and floating thermal conductivity, high and stable thermal conductivity, low and floating thermal conductivity, and low and stable thermal conductivity. The internal interlayer of the aquaculture equipment materials is filled with polyurethane foam insulation layer to block external heat conduction. Based on the thermal conductivity control performance of the insulation layer, the thickness of the insulation layer and the corresponding thermal conductivity control span are obtained; for aquaculture equipment materials with high and fluctuating thermal conductivity, the average fluctuation 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 average fluctuation value of thermal conductivity; and the corresponding increase in insulation layer thickness is obtained based on the maximum fluctuation span of thermal conductivity at adjacent times, and the insulation layer thickness is set based on the increase in thickness on the basis of the set thickness. For aquaculture equipment materials with high and stable thermal conductivity, the floating peak value of thermal conductivity of the aquaculture equipment materials is collected; after obtaining the floating peak value of thermal conductivity, the insulation layer is set according to the required thickness of the corresponding insulation layer. For aquaculture equipment materials with low and fluctuating thermal conductivity, the fluctuation stage of thermal conductivity of the aquaculture equipment materials is collected, and the minimum value of the fluctuation parameter of thermal conductivity at adjacent time moments is used as the standard for setting the thickness of the insulation layer. The insulation layer is filled with a set base thickness. If the current base thickness can cope with the numerical fluctuation of thermal conductivity at adjacent time moments, the current thickness is used as the setting. If the current base thickness cannot cope with the numerical fluctuation of thermal conductivity at adjacent time moments, the insulation layer thickness corresponding to the minimum value of the velocity fluctuation parameter at adjacent time moments is used as the additional thickness, and the sum of the base 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 base thickness of the insulation layer is used as the current insulation layer thickness. The temperature control unit monitors and controls the temperature of the aquaculture equipment, sets temperature control procedures, and analyzes and processes the decisions made in these procedures. The temperature control unit process is as follows: Using the fluctuation of thermal conductivity inside the aquaculture equipment as a temperature processing decision parameter, the predicted fluctuation trend of the external temperature of the aquaculture equipment is collected, and a temperature fluctuation curve is constructed based on the predicted temperature increase and decrease stages. The adjacent time points with the largest slope of the temperature fluctuation curve are selected, and the time period between the corresponding time points is marked as a high span period. The highest value of thermal conductivity when fluctuation occurs during the high span period is collected, and the average constant temperature deviation between the inside and outside of the equipment under the current thermal conductivity is also collected. If the highest real-time fluctuation range of thermal conductivity during a high-span period does not exceed the set fluctuation range threshold, and the number of consecutive moments corresponding to the constant average temperature deviation between the inside and outside of the equipment under the current thermal conductivity continues to increase, then the current high-span period will be marked as a period with no impact on the span. If the highest real-time fluctuation range of thermal conductivity during a high span period is close to the set fluctuation range threshold, or if the number of consecutive moments corresponding to the constant average temperature deviation inside and outside the equipment under the current thermal conductivity does not continue to increase, then the current high span period is marked as the period of influence in the span. If the highest real-time fluctuation range of thermal conductivity during a high-span period does not exceed the set fluctuation range threshold, and the number of consecutive moments corresponding to the constant average temperature deviation inside and outside the equipment under the current thermal conductivity continues to decrease, then it will be inferred that the current high-span period is a period of high span impact. When the temperature is in a period of moderate or high impact, if the current temperature forecast shows an increasing trend in the high-span period, a temperature control decision will be made. When the moderate impact period changes into a high-span impact period, the temperature control procedures for the aquaculture equipment will be adjusted to increase the temperature regulation span. When the aquaculture equipment directly enters a high-span impact period without a moderate impact period, the insulation layer of the aquaculture equipment will be inspected and controlled according to the inspection results, specifically by replacing the insulation layer or increasing its thickness. The humidity control unit monitors and controls the humidity of the aquaculture equipment, establishes humidity control procedures, and makes decisions on the execution of humidity control procedures based on data collection and analysis. It monitors the stocking density within the aquaculture equipment, collects the initial stocking density deviation and real-time stocking density deviation for each stocking area within the aquaculture equipment, and infers the fluctuation of the current real-time stocking density based on the density deviation comparison. If the density deviation exceeds the set deviation threshold, it is marked as a density fluctuation stage; if the density deviation does not exceed the set deviation threshold, it is marked as a density stable stage. The maximum deviation of the stocking density in the stocking area during the density fluctuation phase was collected, and the decrease range of the average stocking density in the stocking area at each time point during the density stabilization phase was also collected. The collected data were then compared with threshold values. If the maximum deviation of the breeding density in the breeding area exceeds the maximum deviation threshold during the density fluctuation phase, or if the decrease span of the average breeding density at each time point in the breeding area exceeds the decrease span threshold during the density stabilization phase, then when the humidity control procedure is executed in the current phase, the humidity control procedure will be adjusted and continued; if the humidity control procedure is not executed in the current phase, then the humidity control procedure will be executed. If the maximum deviation of the breeding density in the breeding area during the density fluctuation phase does not exceed the maximum deviation threshold, and the decrease span of the average breeding density in the breeding area at each time point during the density stabilization phase does not exceed the decrease span threshold, then when the humidity control process is executed in the current phase, the humidity control process will be paused, and other breeding environment parameters of the breeding density will be detected. When the humidity control process is not currently executed, the number of humidity monitoring points for the humidity control process will be increased and the humidity monitoring interval for the corresponding range will be shortened. After the adjustment is completed, the execution decision of the control process will be made based on the humidity monitoring results. The Internet of Things (IoT) monitoring unit monitors the breeding environment in the breeding area within the breeding equipment.

2. The intelligent environmental control system for containerized three-dimensional earthworm farming according to claim 1, characterized in that, The process of an 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 duration is obtained by comparing the durations and marked as the control trend miscontrol duration. After an extra value is collected, the peak deviation between the control parameter and the actual parameter threshold is recorded within the extra time period, and the collected data is analyzed. If the extra value exceeds the set extra threshold, or the peak deviation between the control parameter and the actual parameter threshold within the extra time period exceeds the peak deviation 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 extra value does not exceed the set extra threshold, and the peak deviation between the control parameter and the actual parameter threshold within the extra time period does not exceed the peak deviation threshold, it is inferred that the environmental control process is functioning normally.

3. An intelligent environmental control method for containerized three-dimensional earthworm farming, characterized in that, The intelligent environmental control system for containerized three-dimensional earthworm farming as described in any one of claims 1-2 above.

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