Self-adaptive control method and control device for livestock breeding environment

By constructing an equivalent heat retention capacity index and conducting dynamic analysis, the problem of temperature control failure caused by air leakage and draft in the enclosure structure of livestock sheds was solved, and the stability and adaptability of temperature were improved.

CN121657782AInactive Publication Date: 2026-03-13永康市畜牧农机发展中心
View PDF 0 Cites 1 Cited by

Patent Information

Application Number
CN202511977137.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-25
Publication Date
2026-03-13
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing temperature control devices cannot adjust their control strategies in a timely manner when there are air leaks or drafts in the enclosure structure of livestock sheds, resulting in temperature control failure and fluctuations, which affect the stability of the breeding environment.

Method used

By constructing an equivalent heat retention capacity index, the relationship between temperature changes and control commands is monitored in real time, abnormal states of the building envelope are dynamically analyzed, and when an abnormality occurs, the system switches to temperature fluctuation suppression control to limit temperature fluctuations and restore normal control.

Benefits of technology

It effectively avoids temperature fluctuations caused by air or air leakage, enhances the adaptability and temperature stability of the closed livestock farming environment, and ensures operational safety.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN121657782A_ABST
    Figure CN121657782A_ABST
Patent Text Reader

Abstract

The invention belongs to the technical field of livestock breeding environment intelligent control, and discloses a livestock breeding environment self-adaptive control method and a control device thereof. The method comprises the following steps: periodically acquiring an environment temperature and a corresponding control instruction; based on the response relationship between the temperature change and the adjustment instruction, constructing and smoothing to obtain an equivalent heat retention capability index; when the index continuously decreases and cannot be recovered after enhancement adjustment, it is judged that gas leakage of the enclosure structure is abnormal; then switching to a temperature fluctuation suppression mode, generating an adjustment instruction taking suppression of a temperature change trend as a core by establishing a temperature safety bandwidth, and constraining an instruction change rate to limit temperature fluctuation; and after the indexes return to normal, gradually transitioning to conventional accurate control. According to the invention, early autonomous identification and fault-tolerant control of the abnormal state of the enclosure structure can be realized, temperature oscillation caused by air leakage can be effectively inhibited, and the stability of a livestock breeding environment and the adaptability of a control system can be significantly improved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for livestock farming environment, specifically to an adaptive control method and control device for livestock farming environment. Background Technology

[0002] Enclosed livestock farming environments typically isolate the farming space from the external environment through enclosure structures, and use heating and cooling devices to control the temperature of the farming environment to meet the temperature requirements for livestock growth.

[0003] Most existing temperature control methods are based on the following fundamental assumptions: first, the enclosure structure of livestock sheds maintains good airtightness, and the rate of air exchange between the inside and outside is relatively stable; second, the control effect of temperature regulating devices is predictable and cumulative; and third, changes in ambient temperature are mainly determined by the regulating behavior of temperature controlling devices. Under these assumptions, existing technologies typically achieve closed-loop temperature control by detecting the deviation between the ambient temperature and the target temperature and outputting corresponding temperature regulation commands.

[0004] However, in actual operation, due to long-term use of livestock sheds, external forces, construction defects, or failure of door and window seals, the enclosure structure may be damaged in a way that is not easily detected, resulting in air and wind leaks. These anomalies are often characterized by concealed leak locations, fluctuating air leakage rates with changes in external climate, and initially not easily causing temperature exceedances. When air and wind leaks occur in the enclosure structure, existing temperature control devices still adjust as if the enclosure structure were intact. This causes a deviation in the response relationship between temperature changes and control commands, resulting in a smaller temperature change amplitude and a longer recovery time under the same adjustment command. The control device misinterprets this as insufficient adjustment capacity and continuously amplifies the control output, thereby triggering temperature oscillations and affecting the stability of the breeding environment.

[0005] Therefore, current technology lacks a solution that can promptly adjust temperature control strategies to maintain a stable aquaculture environment temperature when air or wind leaks occur in the enclosure structure. Summary of the Invention

[0006] In view of the above-mentioned shortcomings mentioned in the background art, the purpose of this invention is to provide an adaptive control method and control device for livestock breeding environment.

[0007] Specifically, the first aspect of the present invention provides an adaptive control method for livestock farming environment, the method comprising the following steps: Step S1: Collect temperature data of the breeding environment within a preset control cycle, and record the temperature adjustment command output by the temperature control device within the corresponding control cycle. Step S2: Based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment command, construct an equivalent heat retention capacity index that characterizes the heat retention capacity of the aquaculture environment. Step S3: Dynamically analyze the equivalent heat retention capacity index. When it continuously declines over multiple consecutive control cycles and cannot be restored by conventional temperature regulation, it is determined that the aquaculture environment is in an abnormal state of the enclosure structure. Step S4: When it is determined that the aquaculture environment is in an abnormal state of the enclosure structure, switch the temperature control strategy and change the temperature control target from precise control of the target temperature to temperature fluctuation suppression control in order to limit the fluctuation range of the aquaculture environment temperature. Step S5: During the temperature fluctuation suppression control process, continuously monitor the equivalent heat retention capacity index. When the equivalent heat retention capacity index returns to the normal range, gradually restore the normal temperature control strategy.

[0008] As an example, the construction of an equivalent heat retention capacity index characterizing the heat retention capacity of the aquaculture environment based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment command includes: Step S21: In two adjacent control cycles, the temperature change of the breeding environment is obtained, and the temperature change is correlated with the adjustment intensity of the temperature adjustment command in the corresponding control cycle to obtain the equivalent temperature change caused by a unit temperature adjustment command. Step S22: The equivalent temperature change is used as an index of the equivalent heat retention capacity of the aquaculture environment in the current control period, which reflects the aquaculture environment's ability to retain heat input or output in the control period.

[0009] As an example, when the temperature continuously declines over multiple consecutive control cycles and cannot be restored by conventional temperature regulation, the aquaculture environment is determined to be in an abnormal state of enclosure structure, including: In multiple continuous control cycles, the equivalent heat retention capacity index corresponding to each control cycle is compared and analyzed. When the equivalent heat retention capacity index shows a unidirectional downward trend in the continuous control cycle, and the equivalent heat retention capacity index still fails to recover to the normal fluctuation range within the preset cycle after increasing the intensity of the temperature regulation command, it is determined that the aquaculture environment is in an abnormal state of the enclosure structure.

[0010] As an example, in step S4, the temperature fluctuation suppression control is achieved by limiting the maximum permissible deviation of the aquaculture environment temperature from the target temperature.

[0011] As an example, in the temperature fluctuation suppression control in step S4, the temperature adjustment command is generated based on the change in the aquaculture environment temperature within adjacent control cycles and the positional relationship between the current temperature and the allowable deviation boundary of the target temperature. This allows the temperature adjustment command to limit the continued shift of the temperature towards the allowable deviation boundary by applying a suppressive effect on the temperature change trend, and the suppressive effect is weighted and adjusted according to the degree to which the temperature approaches the allowable deviation boundary.

[0012] As an example, in the temperature fluctuation suppression control in step S4, a rate of change constraint is also applied to the temperature adjustment command output in adjacent control cycles to limit the maximum change amplitude of the temperature adjustment command.

[0013] As an example, in step S5, the gradual restoration of the normal temperature control strategy includes relaxing the temperature fluctuation restrictions in stages and finally restoring precise control of the target temperature.

[0014] A second aspect of the present invention provides an adaptive control device for livestock farming environment, the device comprising: The temperature data acquisition and recording module is used to acquire temperature data of the breeding environment within a preset control cycle and record the temperature adjustment commands output by the temperature control device within the corresponding control cycle. The equivalent heat retention capacity construction module is used to construct an equivalent heat retention capacity index that characterizes the heat retention capacity of the aquaculture environment based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment command. The enclosure structure abnormality determination module is used to dynamically analyze the equivalent heat retention capacity index. When it continuously declines over multiple consecutive control cycles and cannot be restored by conventional temperature regulation, the aquaculture environment is determined to be in an abnormal enclosure structure state. The temperature control strategy switching module is used to switch the temperature control strategy when the aquaculture environment is determined to be in an abnormal state of the enclosure structure. The temperature control target is adjusted from precise control of the target temperature to temperature fluctuation suppression control in order to limit the fluctuation range of the aquaculture environment temperature. The control strategy recovery module is used to continuously monitor the equivalent heat retention capability index during the execution of temperature fluctuation suppression control. When the equivalent heat retention capability index returns to the normal range, the normal temperature control strategy is gradually restored.

[0015] A third aspect of the present invention also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any of the preceding claims.

[0016] A fourth aspect of the present invention also provides a computer program product, comprising a computer program that, when executed by a processor, implements the method as described in any of the preceding claims.

[0017] Compared with existing technologies, the present invention has the following significant advantages: By dynamically constructing and analyzing the equivalent heat retention capacity index through real-time monitoring of the relationship between temperature response and control commands, the present invention can accurately identify system model failures in the early stages of imperceptible air or wind leakage in the enclosure structure; and before the temperature becomes significantly out of control, it automatically switches the control target from precise tracking to fluctuation suppression, effectively avoiding over-adjustment of the control device and temperature oscillations caused by continuous intrusion of external air by constraining the rate of temperature change and the amplitude of control commands; at the same time, it can automatically and smoothly switch back to the conventional precise control mode based on the recovery trend of the index after the abnormality of the enclosure structure disappears, thereby significantly improving the adaptability, temperature stability and operational safety of the closed livestock farming environment under abnormal conditions of enclosure structure damage. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating an adaptive control method for livestock farming environment disclosed in an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of an adaptive control device for livestock farming environment disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of a storage medium disclosed in an embodiment of the present invention. Detailed Implementation

[0019] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0020] The solution of the present invention is applied to the control device equipped in livestock farms. The control device monitors the temperature of the breeding environment in real time and automatically adjusts the control strategy based on the changes in temperature data to maintain the stability of the breeding environment temperature.

[0021] To implement the above methods, the following supporting equipment and control devices are also installed in the livestock farm to work in conjunction with the above methods: Environmental parameter monitoring unit: This includes a high-precision temperature sensor array deployed at key locations within the breeding environment (such as the center of the livestock shed, near ventilation openings, and at different heights) for real-time, distributed acquisition of environmental temperature data. Additionally, humidity and barometric pressure sensors can be optionally configured to provide auxiliary data for comprehensive analysis of environmental thermal characteristics. All sensors are connected to the control device via wired (e.g., RS-485 bus) or wireless (e.g., LoRa, ZigBee) methods, forming a monitoring network.

[0022] Temperature regulation actuators include heating equipment (such as hot air furnaces, infrared heaters, and floor heating systems), cooling equipment (such as evaporative cooling pad-fan systems, spray cooling devices, and refrigeration units), and ventilation equipment (such as variable frequency fans and side window opening / closing mechanisms) controlled by the control device. The control device sends regulation commands to these actuators (corresponding to the following schemes) via relays, solid-state relays, or analog output modules. ( ), to change its operating status, power or opening degree.

[0023] Data storage and communication unit: The control device has a built-in or external data storage module for recording historical temperature data, control commands, and equivalent heat retention capacity indicators. The device also includes system status logs. Furthermore, it is equipped with network communication interfaces (such as 4G / 5G and Ethernet), enabling it to upload operational data to a cloud server or remote monitoring center, and receive commands from the upper-level management system for parameter settings, target temperature adjustments, etc., thus achieving remote monitoring and cluster management.

[0024] Human-Machine Interaction and Alarm Unit: The control device connects to a local human-machine interface (such as a touchscreen) to display the ambient temperature curve, system status (normal / abnormal), and current control mode in real time, allowing on-site personnel to view parameters and manually intervene. When the system determines that the building envelope has entered an abnormal state or the temperature exceeds the safety boundary, the device triggers an audible and visual alarm and sends alarm information (such as SMS or App push) to management personnel through the communication unit, prompting them to carry out building envelope maintenance.

[0025] Backup power unit: To ensure that control logic and critical data are not lost during grid fluctuations or brief power outages, an uninterruptible power supply or backup battery module can be configured to provide continuous power to core control devices and critical sensors.

[0026] Through the synergy of these supporting devices, the adaptive control method of the present invention can significantly improve the automation level and anti-interference ability of livestock breeding environment management.

[0027] Please see Figure 1 This invention provides an adaptive control method for livestock farming environment, the method comprising the following steps: Step S1: Collect temperature data of the breeding environment within a preset control cycle, and record the temperature adjustment command output by the temperature control device within the corresponding control cycle. In this step, a fixed control cycle is used. Monitor the aquaculture environment. In the [number]th [year]... Within each control cycle, the ambient temperature is acquired and recorded as follows: And record the equivalent adjustment amount output by the temperature control device within the corresponding cycle. ,in This represents the overall control intensity applied to achieve heating or cooling within this cycle. The temperature change between adjacent control cycles is defined as: The corresponding rate of temperature change is defined as:

[0028] Among them, the rate of temperature change is used to characterize the immediate response capability of the aquaculture environment to temperature regulation under a given control command.

[0029] Step S2: Based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment command, construct an equivalent heat retention capacity index that characterizes the heat retention capacity of the aquaculture environment. This step aims to create a comprehensive index that can quantify and characterize the thermal retention performance of the aquaculture environment by analyzing the intrinsic relationship between the dynamic response to temperature changes and control commands. This index is a key basis for subsequent anomaly diagnosis and adaptive adjustment of control strategies.

[0030] As an example, the construction of an equivalent heat retention capacity index characterizing the heat retention capacity of the aquaculture environment based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment command includes: Step S21: In two adjacent control cycles, the temperature change of the breeding environment is obtained, and the temperature change is correlated with the adjustment intensity of the temperature adjustment command in the corresponding control cycle to obtain the equivalent temperature change caused by a unit temperature adjustment command. In this step, a fixed control cycle is used. Monitor the aquaculture environment. In the [number]th [year]... Within each control cycle, the ambient temperature is acquired. And record the equivalent adjustment amount output by the temperature control device within the corresponding cycle. This adjustment amount This characterizes the overall regulatory intensity applied to achieve heating or cooling within the cycle, such as the integral value of heating power or the equivalent operating intensity of the refrigeration equipment. It calculates the temperature change between two adjacent control cycles. .

[0031] Then, the temperature change Adjustment intensity corresponding to the temperature adjustment command Perform correlation calculations. Specifically, by... Divide by With a very small positive number The sum (i.e. ), to obtain the current adjustment intensity This is the equivalent temperature change caused by a unit adjustment command. It can be understood that this calculation reflects the actual change in ambient temperature response caused by each unit of adjustment signal applied by the control device within the current cycle.

[0032] Step S22: The equivalent temperature change is used as an index of the equivalent heat retention capacity of the aquaculture environment in the current control period, which reflects the aquaculture environment's ability to retain heat input or output in the control period.

[0033] In this step, the equivalent temperature change caused by the unit temperature adjustment command calculated in step S21 is directly defined as the equivalent heat retention capacity index within the current control cycle. ,Right now Understandably, this equivalent heat retention capacity index... It quantifies the ability of the aquaculture environment to maintain heat input or output under the current conditions.

[0034] When the building envelope is intact and airtight, the environment has a strong heat retention capacity, and a single adjustment command can cause a significant and stable temperature change. It will fluctuate within a relatively stable normal range. Conversely, when the building envelope is damaged, leading to air and air leaks, the uncontrolled exchange of outside air will significantly weaken the environment's heat retention capacity. In this case, even if the same regulatory intensity is applied, the heat retention capacity will be compromised. The actual temperature change that can be caused It will also decrease, thus affecting the equivalent heat retention capacity index. The value showed a significant and continuous decrease. Therefore, this equivalent heat retention capacity index can sensitively reflect the integrity status of the building envelope and be used for subsequent anomaly detection.

[0035] Step S3: Dynamically analyze the equivalent heat retention capacity index. When it continuously declines over multiple consecutive control cycles and cannot be restored by conventional temperature regulation, it is determined that the aquaculture environment is in an abnormal state of the enclosure structure. This step aims to determine whether the enclosure structure of the aquaculture environment is in an abnormal air leakage state by comprehensively analyzing the dynamic trend of the equivalent heat retention capacity index and the disturbance resistance recovery capacity.

[0036] As an example, when the temperature continuously declines over multiple consecutive control cycles and cannot be restored by conventional temperature regulation, the aquaculture environment is determined to be in an abnormal state of enclosure structure, including: In multiple continuous control cycles, the equivalent heat retention capacity index corresponding to each control cycle is compared and analyzed. When the equivalent heat retention capacity index shows a unidirectional downward trend in the continuous control cycle, and the equivalent heat retention capacity index still fails to recover to the normal fluctuation range within the preset cycle after increasing the intensity of the temperature regulation command, it is determined that the aquaculture environment is in an abnormal state of the enclosure structure.

[0037] In this step, the equivalent heat retention capacity index at each instant is... The equivalent heat retention capacity index is obtained after smoothing. Dynamic tracking and analysis were conducted. In the initial stage of confirming the integrity of the building envelope, statistics were compiled and determined. Normal reference value and the upper and lower limits of its allowed fluctuations This serves as the benchmark for subsequent judgments.

[0038] During continuous operation, the following logic is used for judgment: Trend Analysis: Continuous Monitoring The trend of change over multiple periods. When It exhibits a monotonically or quasi-monotonically decreasing trend over multiple consecutive sliding time windows, and its value remains consistently below the lower limit of the normal range. This indicates a systematic and continuous decline in the heat retention capacity of the livestock farming environment, which is consistent with the basic characteristics of air leakage caused by damage to the enclosure structure.

[0039] Unstable Disturbance Verification: To eliminate performance degradation caused by insufficient self-regulation of the control device or temporary disturbances, the control device will proactively intervene, attempting to intervene by increasing the intensity of temperature regulation commands (e.g., increasing heating power under heating demand, or enhancing cooling output under cooling demand). If the performance degradation is caused by controllable internal insufficient regulation, then after enhancing regulation, the heat retention capacity index will improve. It should rebound within the preset time period and gradually return to the normal fluctuation range. Inside.

[0040] Anomaly detection: If, after performing the above-mentioned more intensive conventional temperature regulation, the equivalent heat retention capacity index... If no effective recovery occurs within the preset observation period, or if the recovery is insufficient to restore it to the normal range, it indicates that the root cause of environmental heat loss is not an internal regulation problem, but rather the existence of an uncontrolled and continuous heat loss channel. This indicates that the building envelope has experienced physical abnormalities such as air leakage or draft.

[0041] When both conditions of continuous unidirectional decline and irreversible after enhanced regulation are met simultaneously, the aquaculture environment is determined to be in an abnormal state of enclosure structure.

[0042] Step S4: When it is determined that the aquaculture environment is in an abnormal state of the enclosure structure, switch the temperature control strategy and change the temperature control target from precise control of the target temperature to temperature fluctuation suppression control in order to limit the fluctuation range of the aquaculture environment temperature. As an example, in step S4, the temperature fluctuation suppression control is achieved by limiting the maximum permissible deviation of the aquaculture environment temperature from the target temperature.

[0043] In this step, under abnormal conditions of the enclosure structure, the control target is changed from precisely tracking the target temperature. The adjustment is to suppress temperature fluctuations, with the specific constraints as follows: .in, The maximum allowable temperature fluctuation bandwidth.

[0044] Meanwhile, within each control cycle, the following constraint is applied to the rate of temperature change:

[0045] When the rate of temperature change approaches or exceeds the upper limit, the output of the adjustment command is actively reduced or delayed. Furthermore, an upper limit constraint is imposed on the temperature control command. This is to prevent the control device from over-adjusting due to continuous intrusion of outside air.

[0046] As an example, in the temperature fluctuation suppression control in step S4, the temperature adjustment command is generated based on the change in the aquaculture environment temperature within adjacent control cycles and the positional relationship between the current temperature and the allowable deviation boundary of the target temperature. This allows the temperature adjustment command to limit the continued shift of the temperature towards the allowable deviation boundary by applying a suppressive effect on the temperature change trend, and the suppressive effect is weighted and adjusted according to the degree to which the temperature approaches the allowable deviation boundary.

[0047] In this step, after determining that the aquaculture environment is in an abnormal state due to the enclosure structure, the control device switches to temperature fluctuation suppression mode. In this mode, the control objective is no longer to precisely track a single setpoint, but to maintain the temperature within a preset dynamic allowable deviation range, i.e., the temperature safety zone. Inside, among which For the target temperature, This represents the maximum permissible temperature deviation.

[0048] The specific mechanism for generating temperature regulation commands is as follows: First, calculate the current control cycle (the... The change in temperature within one cycle relative to the previous cycle is denoted as . This value reflects the current direction and rate of temperature change.

[0049] Calculate boundary risk factors Used to quantify the current temperature The degree of danger relative to the boundary of the temperature safety belt. The calculation formula is:

[0050] in, .when When located near the center of the temperature seat belt, Close to 1; when When approaching or touching the upper or lower boundaries, Approaching 0.

[0051] Final temperature control command Generated by the following formula: .

[0052] in: This is the preset suppression gain coefficient.

[0053] It is a boundary risk factor The relevant weighting function can be a monotonically decreasing function. For example, or This means that the closer the temperature is to the center of the safety belt (the lower the risk), the smaller the weight of the inhibitory effect on the trend, and the more moderate the control; the closer the temperature is to the boundary (the higher the risk), the greater the weight, and the stronger the inhibitory effect, so as to more resolutely prevent the temperature from exceeding the boundary.

[0054] The negative sign "-" in the formula indicates the direction of the adjustment command and the trend of temperature change. Conversely, if the temperature is rising ( ), then the instruction If the value is negative, there is a tendency to apply cooling or reducing heating to weaken its upward trend; conversely, the opposite is also true.

[0055] In this way, the function of the temperature regulation command is no longer to eliminate static deviations from the setpoint, but to actively counteract temperature change trends, especially when the trend may push the temperature beyond the allowable boundary. The control device dynamically adjusts the intensity of the countermeasure based on the "danger level" of the temperature approaching the boundary, achieving intelligent and targeted fluctuation suppression.

[0056] As an example, in the temperature fluctuation suppression control in step S4, a rate of change constraint is also applied to the temperature adjustment command output in adjacent control cycles to limit the maximum change amplitude of the temperature adjustment command.

[0057] In this step, in order to further ensure the control stability in the case of abnormal enclosure structure and unknown changes in the system response characteristics, and prevent the equipment from frequently starting and stopping or the temperature oscillation from intensifying due to sudden changes in control instructions, the present invention sets a hard constraint on the rate of change of the temperature regulation instruction itself. The specific constraint conditions are as follows:

[0058] Among them, is the preset maximum allowable change amplitude of the temperature regulation instruction within each control cycle.

[0059] This constraint means that regardless of the current cycle instruction calculated according to the aforementioned suppression control algorithm, the absolute value of the difference between it and the instruction actually output in the previous cycle cannot exceed . If the calculated instruction change exceeds this limit, the control device will automatically limit and smooth the instruction, and output a new instruction with a change amplitude within the allowable range.

[0060] It should be noted that this implementation manner can be a replacement scheme for the aforementioned temperature fluctuation suppression control manner based only on the maximum allowable deviation, or a combined scheme of the two cooperating with each other. The present invention does not make specific limitations on this.

[0061] Step S5: Continuously monitor the equivalent heat retention capacity index during the execution of the temperature fluctuation suppression control. When the equivalent heat retention capacity index returns to the normal range, gradually restore the conventional temperature control strategy.

[0062] As an example, in step S5, the gradually restoring the conventional temperature control strategy includes relaxing the temperature fluctuation limit conditions in stages and finally restoring the precise control of the target temperature.

[0063] In this step, during the execution of the air leakage adaptation control strategy, continuously monitor the equivalent heat retention capacity index. When the following characteristics appear: , and it shows a continuous upward trend, it is determined that the abnormal state of the enclosure structure may have disappeared. At this time, according to the preset transition strategy, gradually relax the constraint conditions and finally restore the conventional temperature control mode. The following is an example: The first stage: First, narrow the temperature fluctuation limit bandwidth from a relatively wide value (such as ±3°C) in the abnormal state to an intermediate value (such as ±2°C). At the same time, appropriately increase the upper limit of the control instruction. In this stage, the control target is still mainly to suppress fluctuations, but the allowable control accuracy and adjustment strength have been initially relaxed. Continue to operate for several control cycles in this state and closely observe the stability. If If the temperature remains within the normal range and fluctuates steadily, then proceed to the next stage.

[0064] The second stage involves further narrowing the fluctuation limit bandwidth to near the level of conventional control (e.g., ±1°C) and continuing to increase the upper limit of the control command to bring it close to the normal adjustment range. At this point, the control behavior is very close to the conventional mode, but a small fluctuation tolerance is still retained as a buffer.

[0065] Phase 3: When it is confirmed that the fluctuation bandwidth is relatively narrow, Once the temperature remains stable within the normal reference range and can be steadily maintained near the target value, the fluctuation suppression constraint and command upper limit constraint are completely removed, and the system is fully switched back to using the target temperature. The precise closed-loop control mode for the setpoint is restored to the conventional strategy described in the background art, which involves rapid and sufficient adjustment based on temperature deviation.

[0066] By adopting the control method of relaxing the temperature fluctuation restrictions in stages as described above, it is possible to safely and smoothly transition to a high-performance control state after the abnormality of the building envelope is eliminated, thus taking into account both the stability of the recovery process and the accuracy of the final control.

[0067] This invention dynamically constructs and analyzes equivalent heat retention capacity indices by monitoring the relationship between temperature response and control commands in real time. It can accurately identify system model failures in the early stages of subtle air or air leakage in the enclosure structure. Before the temperature becomes significantly out of control, it automatically switches the control target from precise tracking to fluctuation suppression. By constraining the rate of temperature change and the amplitude of control commands, it effectively avoids over-adjustment of the control device and temperature oscillations caused by continuous intrusion of outside air. At the same time, after the abnormality of the enclosure structure disappears, it can automatically and smoothly switch back to the conventional precise control mode based on the recovery trend of the indices. This significantly improves the adaptability, temperature stability, and operational safety of the enclosed livestock farming environment under abnormal conditions of enclosure structure damage.

[0068] Please see Figure 2 This invention also provides an adaptive control device 200 for livestock farming environment, the device comprising: The temperature data acquisition and recording module 202 is used to acquire temperature data of the breeding environment within a preset control cycle and record the temperature adjustment commands output by the temperature control device within the corresponding control cycle. The equivalent heat retention capacity construction module 204 is used to construct an equivalent heat retention capacity index that characterizes the heat retention capacity of the aquaculture environment based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment command. The enclosure structure abnormality determination module 206 is used to dynamically analyze the equivalent heat retention capacity index. When it continuously declines over multiple consecutive control cycles and cannot be restored by conventional temperature regulation, the aquaculture environment is determined to be in an abnormal enclosure structure state. The temperature control strategy switching module 208 is used to switch the temperature control strategy when it is determined that the aquaculture environment is in an abnormal state of the enclosure structure. The temperature control target is adjusted from precise control of the target temperature to temperature fluctuation suppression control to limit the fluctuation range of the aquaculture environment temperature. The control strategy recovery module 210 is used to continuously monitor the equivalent heat retention capability index during the execution of temperature fluctuation suppression control, and gradually restore the normal temperature control strategy when the equivalent heat retention capability index returns to the normal range. This embodiment of the invention also provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in any of the preceding claims.

[0069] Please see Figure 3 This invention also provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in any of the preceding claims. It should be noted that the storage medium is used to store the computer program implementing the various functions of the control device 200, and the aforementioned functional modules 202-210 are all packaged within a processor; furthermore, the control device 200 should also be configured with corresponding communication components and input / output interfaces, etc., which will not be elaborated further.

[0070] This invention also provides a computer program product, including a computer program that, when executed by a processor, implements the method described in any of the preceding claims.

[0071] Although the operations of the method of the invention are described in a specific order in the accompanying drawings, this does not require or imply that the operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0072] While the spirit and principles of the invention have been described with reference to several specific embodiments, it should be understood that the invention is not limited to the disclosed specific embodiments, and the division of aspects does not imply that features in these aspects cannot be combined for benefit; such division is merely for ease of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A method for adaptive control of livestock farming environment, characterized in that, The method includes the following steps: Step S1, collecting temperature data of the aquaculture environment within a preset control cycle and recording the temperature adjustment commands output by the temperature control device within the corresponding control cycle; Step S2, constructing an equivalent heat retention capacity index characterizing the heat retention capacity of the aquaculture environment based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment commands; Step S3, dynamically analyzing the equivalent heat retention capacity index, and determining that the aquaculture environment is in an abnormal state of the enclosure structure when it continuously declines within multiple consecutive control cycles and cannot be restored by conventional temperature adjustment; Step S4, when the aquaculture environment is determined to be in an abnormal state of the enclosure structure, switching the temperature control strategy, adjusting the temperature control target from precise target temperature control to temperature fluctuation suppression control, in order to limit the fluctuation range of the aquaculture environment temperature; Step S5, continuously monitoring the equivalent heat retention capacity index during the execution of temperature fluctuation suppression control, and gradually restoring the conventional temperature control strategy when the equivalent heat retention capacity index returns to the normal range.

2. The adaptive control method for livestock farming environment according to claim 1, characterized in that: Based on the relationship between the temperature change between adjacent control cycles and the temperature regulation command, an equivalent heat retention capacity index characterizing the heat retention capacity of the aquaculture environment is constructed, including: Step S21, in two adjacent control cycles, the temperature change of the aquaculture environment is obtained, and the temperature change is correlated with the regulation intensity of the temperature regulation command in the corresponding control cycle to obtain the equivalent temperature change caused by a unit temperature regulation command; Step S22, the equivalent temperature change is used as the equivalent heat retention capacity index of the aquaculture environment in the current control cycle to reflect the aquaculture environment's ability to retain heat input or output in the control cycle.

3. The adaptive control method for livestock farming environment according to claim 1, characterized in that: When the equivalent heat retention capacity index shows a continuous decline over multiple consecutive control cycles and cannot be restored by conventional temperature regulation, the aquaculture environment is determined to be in an abnormal state of enclosure structure. This includes: comparing and analyzing the equivalent heat retention capacity index corresponding to each control cycle over multiple consecutive control cycles; when the equivalent heat retention capacity index shows a unidirectional downward trend over the consecutive control cycles, and after increasing the intensity of the temperature regulation command, the equivalent heat retention capacity index still fails to recover to the normal fluctuation range within a preset cycle, the aquaculture environment is determined to be in an abnormal state of enclosure structure.

4. The adaptive control method for livestock farming environment according to claim 1, characterized in that: In step S4, the temperature fluctuation suppression control is achieved by limiting the maximum permissible deviation of the aquaculture environment temperature from the target temperature.

5. The adaptive control method for livestock farming environment according to claim 1, characterized in that: In the temperature fluctuation suppression control in step S4, the temperature adjustment command is generated based on the change in the aquaculture environment temperature within adjacent control cycles and the positional relationship between the current temperature and the allowable deviation boundary of the target temperature. The temperature adjustment command limits the continued shift of the temperature towards the allowable deviation boundary by applying a suppression effect on the temperature change trend, and the suppression effect is weighted and adjusted according to the degree to which the temperature approaches the allowable deviation boundary.

6. The adaptive control method for livestock farming environment according to claim 5, characterized in that: In the temperature fluctuation suppression control described in step S4, a rate of change constraint is also applied to the temperature adjustment command output in adjacent control cycles to limit the maximum change amplitude of the temperature adjustment command.

7. The adaptive control method for livestock farming environment according to claim 1, characterized in that: In step S5, the gradual restoration of the normal temperature control strategy includes relaxing the temperature fluctuation restrictions in stages and finally restoring precise control of the target temperature.

8. An adaptive control device for livestock farming environment, characterized in that: The device includes: a temperature data acquisition and recording module, used to acquire temperature data of the aquaculture environment within a preset control cycle and record the temperature adjustment commands output by the temperature control device within the corresponding control cycle; an equivalent heat retention capacity construction module, used to construct an equivalent heat retention capacity index characterizing the heat retention capacity of the aquaculture environment based on the relationship between the temperature change between adjacent control cycles and the temperature adjustment commands; an enclosure structure anomaly determination module, used to dynamically analyze the equivalent heat retention capacity index, and determine that the aquaculture environment is in an enclosure structure anomaly state when it continuously declines over multiple consecutive control cycles and cannot be recovered by conventional temperature adjustment; a temperature control strategy switching module, used to switch the temperature control strategy when the aquaculture environment is determined to be in an enclosure structure anomaly state, adjusting the temperature control target from precise target temperature control to temperature fluctuation suppression control to limit the fluctuation range of the aquaculture environment temperature; and a control strategy recovery module, used to continuously monitor the equivalent heat retention capacity index during the execution of temperature fluctuation suppression control, and gradually restore the conventional temperature control strategy when the equivalent heat retention capacity index recovers to the normal range.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the method as described in any one of claims 1-7.

10. A computer program product, comprising a computer program, characterized in that: When the computer program is executed by a processor, it implements the method as described in any one of claims 1-7.

Citation Information

Cited By

  • Unmanned aerial vehicle controller model construction method and device based on target and instruction guidance

    CN121978967A