CN-121694253-B - Temperature and humidity self-adaptive adjusting method and system for incubator

CN121694253BCN 121694253 BCN121694253 BCN 121694253BCN-121694253-B

Abstract

The invention discloses a temperature and humidity self-adaptive regulation method and a temperature and humidity self-adaptive regulation system for an incubator, which relate to the technical field of temperature and humidity self-adaptive control of the incubator and comprise the steps of monitoring the concentration of carbon dioxide in the incubator in real time and calculating the real-time metabolic intensity index of embryos; the method comprises the steps of inquiring a preset mapping relation according to a real-time metabolism intensity index and the current hatching day age to generate a target absolute humidity value in the incubator, acquiring the current absolute humidity value in the incubator, combining the target absolute humidity value, solving an optimal control instruction sequence of a humidifying device and a dehumidifying device in a future period through rolling by a model predictive control algorithm, and executing an instant control instruction in the optimal control instruction sequence. According to the invention, the embryo metabolic activity is represented by the carbon dioxide concentration change, a dynamic target absolute humidity value is generated, and the control precision, the disturbance rejection capability and the energy efficiency level are improved on the premise of meeting the physical operation constraint by combining a humidity dynamic prediction model and a model prediction control algorithm to realize the prospective optimization control.

Inventors

LI HUI
WANG FENGBIN
ZENG LILI
CHEN YANGFANG
WANG TING
LEI PINGHUA
LUO HUAN
DING QIANG

Assignees

湖南理工职业技术学院

Dates

Publication Date: 20260512
Application Date: 20260224

Claims (6)

1. The temperature and humidity self-adaptive adjusting method for the incubator is characterized by comprising the following steps of: s1, monitoring the concentration of carbon dioxide in an incubator in real time, and calculating real-time metabolic intensity indexes of embryos based on the change of the concentration of the carbon dioxide; S2, inquiring a preset mapping relation according to the real-time metabolism intensity index and the current hatching day age, and dynamically generating a corresponding target absolute humidity value in the incubator; S3, acquiring a current absolute humidity value in the incubator, combining the target absolute humidity value, utilizing a pre-established dynamic incubator humidity prediction model, and solving an optimal control instruction sequence of the humidifying device and the dehumidifying device in a future period in a rolling way through a model prediction control algorithm; S4, executing an instant control instruction in the optimal control instruction sequence to drive the humidifying device and the dehumidifying device to adjust; calculating the real-time metabolism intensity index of the embryo, wherein the real-time metabolism intensity index is obtained by calculating the mass release rate of carbon dioxide generated by embryo groups according to the monitored carbon dioxide concentration, the effective volume of the inner cavity of the incubator and the real-time ventilation quantity and according to the mass release rate of the carbon dioxide; The calculating of the mass release rate of carbon dioxide produced by the embryo population comprises: According to the law of conservation of mass, the mass release rate of carbon dioxide generated by embryo groups in an incubator The method consists of two parts of gas storage change and ventilation discharge flow in the tank, and is calculated by the following formula: ; Wherein: the effective volume of the inner cavity of the incubator is expressed as cubic meters; the density of air in the incubator is expressed in kilograms per cubic meter; conversion coefficient for converting ppm value of volume concentration of carbon dioxide into mass fraction in milligrams per kilogram per million concentration; The volume concentration of the carbon dioxide after filtering at the current moment is in ppm; The volume concentration of carbon dioxide at the previous sampling time is expressed in ppm; the time interval of two sampling is the unit of hour; the real-time ventilation quantity of the incubator at the time t is expressed as cubic meters per hour; The carbon dioxide background volume concentration in the outside fresh air is expressed in ppm; dividing the carbon dioxide mass release rate by the total mass of the incubated eggs in the batch to obtain a real-time metabolic intensity index.
2. The method for adaptively adjusting temperature and humidity of an incubator according to claim 1, wherein in the step S2, the preset mapping relationship is a three-dimensional lookup table; The three-dimensional lookup table takes hatching age as a first-dimensional index, takes a discretization interval of the real-time metabolic intensity index as a second-dimensional index, and takes a stored value as a target absolute humidity value; and the system queries the three-dimensional lookup table through a bilinear interpolation method and dynamically generates the target absolute humidity value.
3. The method for adaptively adjusting the temperature and humidity of an incubator according to claim 2, wherein in the step S3, the pre-established dynamic prediction model of the incubator humidity is a discrete state space model established by a system identification method; The control instructions of the humidifying device and the dehumidifying device are used as input, and the predicted value of the absolute humidity in the incubator is used as output for predicting the future change trend of the absolute humidity in the incubator under different control instructions.
4. A method for adaptively adjusting temperature and humidity of an incubator according to claim 3, wherein in step S3, the rolling solution by the model predictive control algorithm comprises: constructing and solving an optimization problem in each control period; The objective function of the optimization problem is configured to minimize tracking errors between the predicted absolute humidity value and the target absolute humidity value over a future period of time while minimizing the amplitude of variation and energy consumption of the control instruction sequence; the solution of the optimization problem also needs to meet the physical operation constraints of the humidifying device and the dehumidifying device.
5. The method for adaptively adjusting the temperature and humidity of an incubator according to claim 4, wherein the step S4 comprises: Analyzing and converting the instant control command into a bottom layer control signal for driving the humidifying device and the dehumidifying device; Driving the humidifying device and the dehumidifying device to execute coordinated regulation action according to the bottom layer control signal; In the execution process, the running states of the humidifying device and the dehumidifying device are monitored, and safety protection logic is triggered when abnormality is detected; The change of the actual absolute humidity in the incubator after execution is fed back to step S3 as a new current absolute humidity value to start the rolling solution of the next control cycle.
6. An incubator temperature and humidity adaptive adjustment system for implementing the incubator temperature and humidity adaptive adjustment method according to any one of claims 1 to 5, comprising: the real-time monitoring module is used for monitoring the concentration of carbon dioxide in the incubator in real time and calculating the real-time metabolic intensity index of the embryo based on the change of the concentration of the carbon dioxide; The mapping inquiry module inquires a preset mapping relation according to the real-time metabolism intensity index and the current hatching day age, and dynamically generates a corresponding target absolute humidity value in the incubator; The humidity prediction module is used for obtaining a current absolute humidity value in the incubator, combining the target absolute humidity value, utilizing a pre-established dynamic incubator humidity prediction model, and solving an optimal control instruction sequence of the humidifying device and the dehumidifying device in a future period in a rolling way through a model prediction control algorithm; and the execution control module executes the instant control instruction in the optimal control instruction sequence to drive the humidifying device and the dehumidifying device to adjust so that the actual absolute humidity in the incubator approaches to the target absolute humidity value.

Description

Temperature and humidity self-adaptive adjusting method and system for incubator Technical Field The invention relates to the technical field of temperature and humidity self-adaptive control of incubators, in particular to a temperature and humidity self-adaptive adjustment method and system of an incubator. Background In recent years, the egg hatching equipment gradually evolves from single temperature control to a temperature and humidity cooperative control and refined environment management system. The industry generally adopts a framework combining sensing measurement, actuator adjustment and controller closed-loop scheduling, and the microenvironment of the box body is maintained stable through means of humidification, ventilation, dehumidification and the like. Along with the improvement of the requirements of large-scale incubation and lean culture, a control object is gradually turned from relative humidity to state quantity with more physical consistency such as absolute humidity, enthalpy and the like, and a control algorithm is expanded to a model-based predictive control and data driving parameter setting method by threshold switch control and PID control so as to improve stability, disturbance rejection capability and energy efficiency level. The temperature and humidity control of the conventional incubator still takes a day age curve and experience setting as the main factors, the humidity setting is mostly dependent on a fixed time table or a segmentation threshold value, and metabolic differences and moisture exchange differences of embryo populations under different batches, different loads and different ventilation working conditions are ignored, so that systematic deviation exists between humidity supply and real physiological requirements. Firstly, the traditional control object mostly adopts relative humidity, is obviously influenced by temperature fluctuation and air pressure change, has corresponding water vapor content of the same relative humidity which is not constant, and is difficult to form a movable and comparable control standard. Secondly, common PID control belongs to a passive deviation correcting mechanism, and when the disturbance such as inertia, hysteresis, humidification and ventilation coupling, door opening, egg changing, egg turning and the like of a humidity system of an incubator is faced, overshoot, frequent countermeasures of an oscillating and executing mechanism are easy to occur, so that energy consumption rise and equipment abrasion are caused. Thirdly, the embryo metabolism state is not generally brought into a control closed loop in the prior art, and the embryo respiration metabolism intensity change cannot be converted into humidity demand change, so that excessive water loss is difficult to be restrained in time in a metabolism enhancing stage, environmental water vapor redundancy is difficult to be avoided in a metabolism weakening stage, and finally hatching uniformity and hatchability rate are influenced. Therefore, the prior art is difficult to realize the cooperative adjustment of the target humidity generation driven by physiological feedback and the look-ahead prediction optimization, and is more difficult to obtain stable, energy-saving and repeatable control effects under the constraint condition. Disclosure of Invention The present invention has been made in view of the above-described problems. The invention solves the technical problems that the humidity setting of the conventional incubator temperature and humidity control method depends on a day-old experience curve to cause unmatched demands, the control index mainly comprising relative humidity is influenced by factors such as temperature to cause unstable control reference, overshoot oscillation and energy consumption increase are easy to generate under the working condition of large inertia and strong coupling in the traditional closed loop control, and the problem of how to convert embryo metabolism feedback into target absolute humidity and realize optimal cooperative adjustment based on model prediction control is solved. In order to solve the technical problems, the invention provides the following technical scheme: In a first aspect, an embodiment of the present invention provides a method for adaptively adjusting temperature and humidity of an incubator, which is characterized by comprising the following steps: s1, monitoring the concentration of carbon dioxide in an incubator in real time, and calculating real-time metabolic intensity indexes of embryos based on the change of the concentration of the carbon dioxide; S2, inquiring a preset mapping relation according to the real-time metabolism intensity index and the current hatching day age, and dynamically generating a corresponding target absolute humidity value in the incubator; S3, acquiring a current absolute humidity value in the incubator, combining the target absolute humidity value, utilizing a pre-established dynami