Efficient pig breeding environment intelligent regulation and control system

Abstract

The invention, which relates to the technical field of livestock breeding intelligent control, discloses an efficient pig breeding environment intelligent regulation and control system comprising an interference sensing module, an instruction offset detection module, a parameter consistency verification module, a parameter restoration control module, a disturbance accumulation determination module and a standby channel connection and recovery module. High-frequency signal distortion factors of a main control chip power supply path and a peripheral circuit are collected, a signal amplitude abrupt change rate and an electric field disturbance frequency spectrum are calculated, and an electrostatic interference risk index is generated and used for evaluating the intensity and frequency of a potential discharge event in real time. According to the invention, through interference sensing, instruction offset detection, parameter verification and restoration, disturbance accumulation judgment and standby channel connection and recovery, a system-level closed-loop guarantee mechanism is constructed, and the stability, safety and self-healing capability of the pig breeding environment intelligent regulation and control system in a complex electrical interference environment are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent control of livestock breeding, and particularly relates to an efficient pig breeding environment intelligent regulation and control system. BACKGROUND

[0002] The efficient pig breeding environment intelligent regulation and control system is a comprehensive system integrating multi-source environment perception, intelligent analysis and judgment, and automatic execution control functions, aiming to continuously monitor and dynamically adjust key environmental parameters such as temperature, humidity, ammonia, hydrogen sulfide, carbon dioxide concentration, light intensity, ventilation, etc. inside the pig breeding farm. The system is usually composed of a sensor acquisition unit, an intelligent decision controller, an execution mechanism (such as a fan, a heater, a sprayer, a roller blind, an electromagnetic valve, etc.), and a management platform, and realizes real-time optimization and closed-loop control of the breeding environment through embedded algorithms, self-adaptive control models and data feedback mechanisms. The system can automatically adjust environmental parameters according to the growth stage of pigs, group density and external climate changes, etc., which not only guarantees the health and welfare of pigs, but also improves feeding efficiency, reduces energy consumption and the degree of manual intervention, thereby building an efficient, green and intelligent pig breeding environment management system.

[0003] The prior art has the following disadvantages: In the intelligent regulation and control process of the pig breeding environment, the main control chip as the instruction decision and parameter storage carrier of the system core, its running stability is directly related to the effective execution of the environmental regulation strategy. However, in actual application, there are often complex electrical environments such as static accumulation, strong electromagnetic interference, frequent start-stop of high-frequency motors in the breeding farm, especially in dry seasons or thunderstorm weather, the system is easily exposed to high-intensity static interference scenarios. Under such interference conditions, the non-volatile storage unit inside the main control chip may cause bit flipping of control parameters or instruction error writing of control logic due to transient high-voltage interference, causing unintended tampering of the storage content in an unperceived state.

[0004] When the key operating parameters or control logic are silently tampered with, the system may deviate from the original set working state and enter a non-set running mode, for example, all ventilation doors and windows are mistakenly opened without triggering the temperature and humidity or gas threshold, or all fans and exhaust devices are mistakenly closed in an emergency state, causing serious consequences such as sudden temperature drop in the breeding house, accumulation of harmful gases, and interruption of air flow, which in turn causes stress reaction, decreased immunity, and even mass casualties of the pig population. Since such faults have strong concealment and suddenness, and the traditional abnormal detection mechanism is difficult to identify the perturbation error at the parameter level in time, it has become one of the important technical problems limiting the stable operation of the existing intelligent environment control system.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide an efficient intelligent control system for pig farming environment to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an efficient intelligent control system for pig farming environment, comprising an interference sensing module, an instruction offset detection module, a parameter consistency verification module, a parameter repair control module, a disturbance accumulation judgment module, and a backup channel takeover and recovery module. The interference sensing module collects high-frequency signal distortion factors from the power supply path of the main control chip and peripheral circuits, calculates the signal amplitude mutation rate and electric field disturbance spectrum, and generates electrostatic interference risk indicators to assess the intensity and frequency of potential discharge events in real time. The instruction offset detection module inputs the interference risk index into the instruction execution stability detection process, compares the execution path of the current critical control instruction with the historical execution curve, and determines whether there is any non-inertial offset behavior caused by electrostatic interference. If the parameter consistency verification module determines that there is abnormal behavior, it calls three sets of independent parameter copies in the redundant registered storage unit to perform a three-way consistency voting verification to determine whether there is a data bit flip in the current parameter state. If the parameter status is abnormal, the parameter repair control module will trigger the parameter repair process. Based on the voting results, the replica with the most support will be selected and written back to the main storage area for parameter repair. The control command for this round will be locked to prevent error propagation. The disturbance accumulation judgment module, based on the disturbance memory sliding window judgment process, performs integral accumulation based on the frequency and intensity of electrostatic interference events within a unit of time. If the integral result exceeds the set threshold, it switches to the backup chip channel to achieve control logic redundancy. The backup channel takeover and recovery module loads historical operation logs and fault tracing information after the backup chip channel takeover control process, performs closed-loop repair of control logic, and adjusts the recovery timing and parameter unlocking strategy of the main control chip according to the trend of environmental changes, so that the control logic can resume operation in a stable system state.

[0008] Preferably, the process for establishing interference intensity sensing includes the following steps: Voltage sensors, current sensors, and potential monitoring electrodes are deployed on the DC power supply line and peripheral key control lines of the main control chip, respectively, and the sampled signals are input to the processor via an analog-to-digital converter. The collected voltage and current signals are subjected to abrupt change rate analysis to calculate the rate of change between adjacent sampling points and form a disturbance confidence value. Perform Discrete Fourier Frequency Analysis on the above signal to extract the energy distribution in the range of 10kHz to 10MHz and generate the spectrum matching factor; The perturbation confidence value and the spectrum matching factor are fused in a weighted average manner to construct an electrostatic interference risk index, which is updated every 10 milliseconds to identify high-risk discharge events.

[0009] Preferably, the process of inputting interference risk indicators into the instruction execution stability testing procedure includes the following steps: Record environmental sensor data, control output response, register call status and I / O interface signal timing during the execution of key control commands to construct historical behavior paths; When the interference risk index exceeds the set threshold, the complete execution path data of the current control command is collected in real time. The current execution path is compared with the historical paths item by item to determine whether there is any non-inertial deviation behavior. If more than three indicators in the comparison results exceed the reference range and occur twice consecutively, and the corresponding interference risk indicators all exceed the set threshold, it is determined to be an abnormal instruction behavior, and the parameter consistency verification process is triggered.

[0010] Preferably, the parameter integrity verification process includes the following steps: Three sets of control parameter replica areas with consistent structure, independent address distribution, and separate access paths are preset, and parameter values ​​and verification fields are written synchronously. After detecting abnormal instruction behavior, the parameter values ​​and verification fields in three independent addresses are read sequentially to determine their format integrity and legality. The three sets of parameter values ​​read are compared for consistency, and a double confirmation mechanism is used to determine whether there is a data bit flip. If an abnormal replica exists, the parameter value supported by the majority of replicas will be overwritten into the three replica areas, and the execution status of the control instruction associated with that parameter will be temporarily locked.

[0011] Preferably, the consistency comparison of the read parameter values ​​includes the following steps: Compare the three sets of parameter values ​​one by one. If the three sets of parameter values ​​are completely consistent, they are determined to be valid parameter values. If only two of the three sets of parameter values ​​are consistent, and the corresponding validation fields are valid, then the consistent value is determined to be the correct parameter value. If the three sets of parameter values ​​are different, or only one set of validation fields is valid, and the other two sets have structural omissions or significant deviations from historical records, then the current parameter status is marked as having a risk of data bit flipping.

[0012] Preferably, the trigger parameter repair process includes the following steps: When the comparison results of the three sets of parameter replicas are inconsistent, the parameter value with the most supported values ​​is selected as the repair value based on the consistency principle. The repaired values ​​are written sequentially to the three sets of replica storage addresses, with standard check bytes appended. At the same time, a readback comparison is performed to confirm the consistency of the write. During the parameter repair process, the associated control commands are set to a frozen state to prevent them from being scheduled and executed. After the parameters are successfully written and verified by readback, the control command freeze state is lifted, and the complete log information of the repair process is recorded.

[0013] Preferably, the backup chip channel switching process based on the perturbation memory sliding window judgment process includes the following steps: A time sliding window is constructed every 10 seconds to collect the occurrence time, interference intensity value and occurrence number of electrostatic interference events, and the sliding window queue is updated. The cumulative risk score is obtained by multiplying the number of interference events in each period of the sliding window by the corresponding intensity value and then summing the products. When the cumulative risk score exceeds the set threshold, the backup chip wake-up operation is triggered, the configuration parameters and control strategy file are loaded, and the sensor input channel and control output channel are switched. Set all control outputs of the main control chip to a high-impedance state, stop signal output, and let the backup chip take over the environmental control task.

[0014] Preferably, the cumulative risk score is obtained by multiplying the number of interference events in each period of the sliding window by their corresponding intensity values ​​and then summing the products. This includes the following steps: Within each sliding time period, the intensity values ​​of all electrostatic interference events within that period are obtained, and the number of events occurring is counted. The risk score for that period is obtained by multiplying the intensity value of each disturbance event by the number of times it occurs within that period. The risk scores from multiple cycles are summed to obtain the current cumulative risk score, which is then compared with a set threshold to determine whether to trigger the backup chip channel switching process.

[0015] Preferably, the process after the backup chip channel takeover control flow includes the following steps: Load the operation log file and fault tracing information recorded and saved before the main control chip malfunctioned, and extract the control command execution path, parameter access records and interference event numbers; Monitor the intensity of electrostatic interference, the number of power fluctuations, and the changes in ground potential in the current environment, and combine this with temperature and humidity data to determine the stability of the current environment; After confirming that the environment is stable and there are no unrecoverable anomalies, the simulation operation of the main control chip is performed to verify the consistency of the instruction sequence, the output timing delay, and whether the logic jump path is deviated. After three consecutive rounds of stable and error-free simulation, control was handed over, the main control chip was switched to control execution mode, and all operating parameters were updated synchronously.

[0016] Preferably, after confirming that the environment is stable and there are no irreversible anomalies, the simulation and verification process of the main control chip is executed, including the following steps: Configure virtual output interfaces to isolate the actual control channels; Execute the control commands of the main control chip and collect simulation output; Compare the simulation output with the current control behavior of the backup chip to check whether the instruction sequence is consistent, whether the output action timing delay exceeds ±20 milliseconds, and whether there is any offset in the logic jump path. If there are no interruptions or abnormal responses during three consecutive rounds of simulation, the main control chip is deemed to meet the conditions for resuming operation.

[0017] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This invention utilizes an interference sensing module to achieve real-time quantitative analysis of high-frequency distorted signals, identifying potential discharge risks at their source. Combined with command offset detection and parameter consistency verification mechanisms, it can detect command behavior offsets and control parameter tampering caused by interference in real time, and accurately pinpoint the error source based on the three-way consistency principle, enabling rapid repair. A disturbance accumulation judgment module establishes a safety threshold for time continuity, ensuring automatic switching to a backup control channel when interference risks accumulate to a warning threshold, preventing the main control chip from continuing to operate in an unstable state. Furthermore, through a backup channel takeover and recovery mechanism, log backtracking, simulation verification, and dynamic recovery of the main control chip are performed after the environment stabilizes, achieving a safe closed-loop system control logic. Overall, this system possesses end-to-end protection capabilities of "real-time perception—behavior verification—redundancy switching—closed-loop repair," effectively preventing system loss of control, parameter miswriting, and abnormal regulation caused by electrostatic interference, fundamentally improving the operational safety, intelligence, and reliability of the pig farming environment control system. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0019] Figure 1 This is a schematic diagram of a module of an efficient intelligent control system for pig farming environment according to the present invention. Detailed Implementation

[0020] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that the description of this disclosure will be more complete and fully convey the concept of the exemplary embodiments to those skilled in the art.

[0021] This invention provides, for example Figure 1 The system shown is an intelligent control system for efficient pig farming environment, including an interference sensing module, a command offset detection module, a parameter consistency verification module, a parameter repair control module, a disturbance accumulation judgment module, and a backup channel takeover and recovery module. The interference sensing module establishes an interference intensity sensing process. By collecting high-frequency signal distortion factors from the power supply path of the main control chip and peripheral circuits, it calculates the signal amplitude mutation rate and electric field disturbance spectrum to form an electrostatic interference risk index, which is used to assess the intensity and frequency of potential discharge events in the environment in real time. To achieve the perception and quantitative assessment of potential electrostatic interference to the main control chip, a specific implementation method for establishing an interference intensity perception process is proposed. This process continuously collects high-frequency signal variation characteristics of the power supply path and key circuit nodes, calculates relevant parameter indicators, and thus forms a quantitative risk result reflecting the intensity of external electrical disturbances, providing a basis for subsequent execution stability testing and fault tolerance mechanisms. This implementation method specifically includes the following steps: Multiple high-frequency sampling sensors are deployed on the DC power supply lines of the main control chip and on the peripheral key control lines. Specifically, a set of voltage sensors is deployed at the power input terminal (such as the VCC pin) of the main control chip, and current sensors and potential monitoring electrodes are deployed at the nodes connecting the power supply lines of the fan relay, solenoid valve controller, and environmental sensor, respectively. Sensors with a bandwidth greater than 1MHz and a sampling frequency of not less than 100kHz are selected, such as the INA233 high-precision digital power monitor and the ACS712 series current sensor. To ensure measurement accuracy, the sensors are connected to the signal acquisition module through isolated operational amplifier circuits, and the sampled signals are input to the processor via an analog-to-digital converter for subsequent processing. This deployment enables real-time acquisition of voltage, current, and potential data changes on all critical paths that may be affected by electrostatic interference during system operation.

[0022] The collected voltage and current signals were analyzed for abrupt change rates within microsecond time intervals. In practice, continuously sampled data were processed in 10-millisecond groups, and the rate of change of the difference between adjacent sampling points was calculated to determine whether a voltage surge (e.g., jumping from 5V to 12V) or a current spike (e.g., a sudden increase from 50mA to 500mA) had occurred. A threshold for the abrupt change rate was set in the judgment criteria. If the voltage change amplitude of three or more consecutive sampling points exceeded the set 1.5V / ms, and the current change rate exceeded 300mA / ms, it was considered an electrical disturbance. Simultaneously, to improve the accuracy of identification, a disturbance duration judgment mechanism was introduced, requiring the signal change to be sustained for at least 3 milliseconds to be considered a valid disturbance. Based on this standard, a disturbance confidence value was formed, expressed as a decimal between 0 and 1. A higher confidence value indicates that the signal change characteristics are closer to electrostatic interference.

[0023] Based on the completion of time-domain disturbance detection, frequency-domain feature analysis is further performed on the acquired voltage and current signals to identify the presence of energy concentrations at electrostatic discharge (ESD) characteristic frequencies. Specifically, a set of signals acquired at 10-millisecond intervals is input into a discrete Fourier transform (DFT) circuit to extract frequency components and analyze their energy distribution within the 10kHz to 10MHz frequency range. Based on existing research, it is known that ESD signals typically exhibit short-duration, high-energy-concentration peaks in this frequency band. Therefore, the judgment criterion is set as follows: if the signal energy in this frequency band is more than three times the average energy value within the detection period, and it is concentrated within a certain frequency point ±50kHz range for more than two detection periods, then this frequency point is identified as a suspected ESD frequency point. Combining this identification result with the disturbance confidence value obtained in the previous stage generates a spectrum matching factor, which is used to further enhance the reliability of the ESD interference judgment.

[0024] The aforementioned time-domain perturbation confidence value and frequency-domain spectral matching factor are fused using a weighted average to construct an electrostatic interference risk index. This index is defined as a percentage value from 0 to 100, calculated by multiplying the perturbation confidence value by 70% and the spectral matching factor by 30%, then summing the results. The risk index is updated every 10 milliseconds, and a risk trend chart is generated every minute. If the index is greater than 85 for three consecutive sampling periods, it indicates that the probability of an electrostatic discharge event in the current environment is extremely high. The system will then enter a high-risk operating state, automatically recording the event time and data screenshots, and using this index as input to the instruction behavior detection stage for continuous interference impact analysis.

[0025] This step aims to achieve real-time sensing, quantitative assessment, and early warning of the intensity of electrostatic interference that may occur in the pig farming environment, ensuring the stable operation of the main control chip in complex electrical environments. Pig farms, as industrial sites characterized by high humidity, high dust, and frequent operations, are often accompanied by frequent relay activation, motor start-stop cycles, and personnel activity, making them highly susceptible to high-intensity electrostatic discharge in dry or thunderstorm weather. As the core of the entire environmental control device, the main control chip's power supply stability and command control capabilities directly affect the system's real-time adjustment capabilities for environmental factors such as temperature, humidity, and ammonia. If the chip is subjected to electrostatic interference during operation, it may lead to data bit flipping, memory parameter errors, or control logic anomalies, triggering a series of chain reactions such as abnormal temperature control in the pigsty and ventilation system failure, ultimately causing serious consequences such as stress, poisoning, or death in the pig herd.

[0026] This step allows for the capture and analysis of abrupt changes in high-frequency voltage and current signals, as well as the electric field disturbance spectrum, before any substantial damage occurs. This generates a risk index describing the intensity of environmental electrical interference. The real-time changes in this index provide prior triggering conditions for subsequent system functions such as instruction execution stability testing, parameter verification mechanisms, and control strategy switching. This forms a perception-driven proactive defense mechanism, significantly enhancing the robustness and adaptability of intelligent control behavior and ensuring the continuity and safety of environmental control actions in the farm. Therefore, this step is not only the starting point of the entire intelligent fault-tolerant mechanism but also an indispensable core component in building a highly reliable environmental control system.

[0027] The instruction offset detection module inputs the interference risk index into the instruction execution stability detection process, collects the execution path of the current key control instruction, and compares it with the execution curve of the historical control instruction to identify whether there is a non-inertial offset in the current instruction behavior, so as to determine whether there is an abnormal instruction behavior caused by electrostatic interference. To identify abnormal behavior of critical control commands that may be caused by electrostatic interference, a command execution stability detection method based on behavior path comparison is constructed. This method uses previously acquired interference risk indicators as triggers and achieves accurate determination of non-inertial deviation behavior through a comprehensive comparison of the current command execution process with historical behavior trajectories. Specifically, it includes the following steps: A behavior recording mechanism for key control instructions is pre-set in the main control chip. For each key control instruction, behavior information including the following elements is recorded each time it is executed: 1) Real-time sampling data of environmental sensors under the trigger condition, including temperature, humidity, ammonia concentration, carbon dioxide concentration, and light intensity; 2) Response information of the control output, including relay operation status, solenoid valve opening and closing voltage, motor speed, current change, and action delay time; 3) Call status of the internal registers of the main control chip, including register number, access value, and read / write timing; 4) Timing of I / O interface signals involved in the execution process, including pin voltage, level transition time, and circuit response status. The above information is encoded in a fixed structure and stored in the behavior database. Each control instruction retains at least 100 sets of behavior trajectories verified by actual execution for subsequent stability judgment and comparison.

[0028] When the electrostatic interference risk index exceeds a set threshold (greater than 85 on a percentage scale), a real-time monitoring process for command behavior is initiated. Complete execution process data is collected for the currently executing control command in three stages: before, during, and after initiation. Specific data collected includes whether the values ​​input from the current environmental sensors meet the command triggering conditions, whether the corresponding control output is completed within the specified response time, whether each execution stage follows the preset register call order, and whether all I / O interfaces are maintained within the normal voltage level range (e.g., 3.3V or 5V logic high level, 0V logic low level). The voltage and current characteristic curves of the output actions are continuously tracked to form a complete execution path record for the current command.

[0029] The current behavior path is compared item by item with the historical paths stored in the behavior database for the corresponding instructions. The comparison includes five items: First, sensor input matching degree, determining whether the current environmental state is consistent with historical triggering conditions; second, output control result consistency, detecting whether the current control action matches the historical response mode; third, execution response time comparison, verifying whether the time taken for the current instruction to complete exceeds twice the historical average standard deviation; fourth, I / O pin signal response delay comparison, if the voltage transition delay of an interface exceeds 150 milliseconds of the normal reference value, it is marked as an abnormal response; fifth, whether the internal register call state deviates from the historical path, such as calling an address segment that should not be associated or skipping critical register operation steps. If three or more of the above five items deviate from the set reference range, the execution is marked as a non-inertial deviation behavior.

[0030] Upon identifying the current execution behavior as a non-inertial deviation, the behavior path, along with the interference risk indicators at the time of its triggering, the raw sensor data, and the control output response record, are immediately stored in the event logging unit, and an abnormal behavior event number is generated. This number serves as the abnormal identification code for the control behavior and is uploaded to the decision logic control platform. Simultaneously, a parameter consistency verification mechanism is triggered, initiating the subsequent parameter copy comparison process. To reduce the risk of occasional misjudgments, the behavior deviation judgment result is only confirmed to have actual risk and enters the logic locking and repair process if two consecutive control behaviors deviate and their corresponding interference risk indicators both exceed the set threshold.

[0031] The core function of this step is to determine whether the current control behavior has deviated unexpectedly due to electrostatic interference by real-time monitoring of the execution path of key control commands of the main control chip and comparing it with historical execution behaviors, thereby achieving early identification and warning of control anomalies. In the process of intelligent control of the pig farming environment, the main control chip is responsible for scheduling and executing various control tasks, such as adjusting the operation of fans, controlling spray cooling, and opening and closing ventilation windows. The triggering and execution of these control tasks often rely on real-time data provided by environmental sensors and preset logic thresholds. If the main control chip is subjected to high-intensity electrostatic interference, its internal commands may be triggered or miswritten, causing the control behavior to deviate from the original logic. Such deviations often do not manifest as system crashes, but rather exist in the form of "silent anomalies," such as mistakenly triggering execution commands when sensor data is normal, or skipping key logic steps, ultimately leading to consequences such as unbalanced air circulation, abnormal temperature changes, and ammonia accumulation. In severe cases, it can even lead to decreased immunity in the pig herd or the occurrence of group diseases.

[0032] This step uses the electrostatic interference risk index generated in the previous step as a trigger signal to activate the behavior monitoring mechanism under high-risk conditions. It collects detailed data on the entire process of control command execution, including input, output, timing response, and interface voltage, and compares this data with historical behavior records. By accurately comparing the completeness, consistency, and response time of the command path, it can effectively determine whether the current command exhibits "non-inertial deviation," i.e., an inexplicable deviation between its behavior and logical expectations. Once a deviation is identified, the system immediately generates an abnormal behavior flag, preventing further execution of the command and simultaneously triggering subsequent parameter verification and logic repair processes. This step essentially constructs a mechanism for self-monitoring and fault prediction of control behavior, giving the entire aquaculture environment control scheme stronger anti-interference and adaptive error correction capabilities. It ensures the correctness and continuity of control behavior under complex electrical interference conditions, and is a key element in improving the overall robustness and safety of the system.

[0033] The parameter consistency verification module, after detecting abnormal instruction behavior, executes the parameter integrity verification process, calls three sets of independent parameter copies stored in the redundant register storage unit, reads them respectively, and compares the current parameter status based on the three-party consistency voting principle to determine whether there is a data bit flip. To prevent imperceptible tampering of critical control parameters in the main control chip due to electrostatic interference, which could cause malfunctions in the control logic and further lead to system malfunctions, a parameter integrity verification method based on a multi-copy data structure and a consistency comparison mechanism is proposed. This method starts immediately upon detecting anomalies in control command behavior, completing parameter data acquisition, format verification, content comparison, and synchronous repair in stages to ensure that no data bit flips or corruption occur in any critical parameters. The implementation includes the following steps: Three sets of control parameter replica areas with identical structures, independent address distribution, and separate access paths are pre-defined to store the core control parameters upon which the system depends for operation. Each replica uses a non-volatile storage medium, such as a specified logical address segment in an EEPROM or Flash chip, and each replica employs an independent power supply filtering design to reduce the impact of electromagnetic interference on storage integrity. For example, the three replicas for the minimum fan start time parameter "MIN_FAN_TIME" are stored at addresses 0x2000 to 0x2003, 0x4000 to 0x4003, and 0x6000 to 0x6003, respectively, with a uniform 4-byte unsigned integer format. During each parameter initialization, update, or write operation, the control program must synchronously write the parameter value to each of the three replicas, with each replica including a 1-byte checksum field. A fixed mask method is used for format verification to ensure that subsequent independent determination of data block corruption is possible.

[0034] During operation, if a significant discrepancy is detected between the control command behavior and the historical trajectory, or if the electrostatic interference risk index continuously rises above the threshold, the parameter integrity verification process is immediately initiated. This process is scheduled by the main control chip control unit, which suspends access to the control logic of suspicious parameters and sequentially reads the corresponding parameter data and its verification fields from three independent addresses. Taking "MIN_FAN_TIME" as an example, three read operations obtain three sets of parameter values ​​and their format verification bits respectively. After reading, the data is temporarily stored in an internal buffer register, and its structure integrity is judged. The judgment criteria are: the length of the read data must be 4 bytes, the content of the attached verification bits must match the preset mask, and all bit fields must not contain fixed illegal values ​​(such as bytes containing all 1s or all 0s) to exclude data segments damaged by electrostatic breakdown or power interruption.

[0035] The three sets of data values ​​that have completed structural verification are compared one by one, and a double confirmation mechanism is used to determine whether there are any errors in the writing of parameters. The comparison criteria include: the core parameter values ​​are completely consistent for a valid result; if only two of the three sets of values ​​are the same and the structure is valid, the value is determined to be the correct version; if the three sets of data are all different, or only one set is valid and the other two sets have illegal check codes, missing structures, or significant deviations from historical records, the parameter status is marked as "risk of tampering". Taking a practical application as an example, if the three sets of replica values ​​are 1800, 1800, and 1024 seconds respectively, the first two sets of data are consistent and have a valid format, and the third set shows a sudden change that deviates from the expectation by more than 50%, the system determines that the data bit is flipped, and the third set is regarded as an abnormal replica.

[0036] Based on the aforementioned comparison results, parameter value restoration is performed. The parameter value supported by the majority of replicas is used as the baseline version and rewritten to all three sets of replica addresses via an overwrite method, achieving synchronous repair of the three parameters. During the write process, the control unit records the timestamp of the repair operation, the three sets of parameter values ​​before and after repair, the write result status, and generates an exception repair log file for subsequent maintenance. Simultaneously, to prevent erroneous values ​​from being used in control instructions within the current execution cycle, the execution status of the control logic corresponding to the parameter is automatically marked as "temporarily locked." Once the write is successful and verified via readback, the locked status is released, restoring the execution permission of the corresponding instruction.

[0037] This step ensures the data integrity of critical control parameters in the main control chip under complex electromagnetic environments such as electrostatic interference. It prevents the system control logic from deviating from its normal operating trajectory due to silent modification of parameter content, thus guaranteeing the accuracy and safety of intelligent control behavior in pig farming environments. In practical applications, pig farms are often in environments with frequent motor starts and stops, long-distance cable laying, and dry air that easily accumulates static electricity. The non-volatile memory in the main control chip is highly susceptible to sudden electrical interference, leading to single-bit flips or multiple-bit logic errors. Such errors do not immediately cause system crashes or explicit faults; they often exist "silently," causing parameter values ​​to change subtly, such as changing the ventilation duration from 1800 seconds to 10 seconds, or the temperature threshold from 28℃ to 40℃. Ultimately, this can lead to ventilation failures, abnormal temperature control, and ammonia accumulation in the pigsty, seriously affecting the health of the pig herd and even causing mass mortality.

[0038] The three-set independent parameter copy comparison mechanism proposed in this step can autonomously identify whether the control parameters stored internally by the main control chip have been interfered with or corrupted without relying on external tools. By comparing three sets of copies distributed at different addresses with consistent structures bit by bit, the system can automatically restore the correct value to the majority of consistent values ​​when a single set of abnormal data is detected, effectively avoiding logical deviations caused by parameter misuse. More importantly, this mechanism, through embedded structure verification and format verification processes, can quickly identify illegal storage structures caused by power outages, voltage fluctuations, or high-frequency interference, avoiding misjudging normal data. As the core step after abnormal instruction behavior detection, this step realizes the transition from "abnormal behavior" to "data repair," and is a key technical node connecting the preceding and following steps in the entire electrostatic capacitance error control process. It has core value in improving the system's continuous operation capability and fault self-healing capability in harsh environments.

[0039] The parameter repair control module, upon detecting a parameter error, triggers the parameter repair process. Based on the three-party consensus voting results, it selects the parameter copy with the most support as the repair version, writes it back to the main storage area to overwrite the configuration content that was erroneously modified, and simultaneously locks the control commands of this round to prevent the error from continuing to propagate and execute. To ensure immediate and effective repair of critical control parameters detected in the main control chip, and to prevent erroneous parameters from being used to execute control commands and causing system malfunctions, a parameter repair process based on the majority consensus principle was constructed. This process identifies widely supported parameter versions from three sets of redundant replicas, overwrites and updates erroneous replicas, and temporarily locks relevant control commands during the repair process to prevent them from being scheduled for execution until the parameters are fully repaired, thus preventing error propagation. The process includes the following steps: After comparing the three sets of parameter replicas and confirming any inconsistencies, the control processing unit immediately initiates a parameter repair operation. The system determines the majority of consistent parameter values ​​based on the comparison results, using this as the reliable baseline version. For example, taking the temperature and humidity joint adjustment delay time as an example, if two sets of replicas have a parameter value of 300 seconds and the other set has a value of 25 seconds, the system, based on the consistency principle, determines 300 seconds as the reliable value. The three sets of replicas are located at addresses 0x1200 to 0x1203, 0x3200 to 0x3203, and 0x5200 to 0x5203, respectively, each with a 1-byte fixed-format checksum. For example, if the checksum of the first two sets of replicas is 0x3C, while the third set is 0xFF, it indicates an illegal write operation or a bit error caused by static electricity. In this case, 300 seconds is selected as the repair value.

[0040] After selecting the repair value, the system initiates the parameter overwrite process. This process, scheduled by the control logic, sequentially writes the confirmed parameter value to the storage addresses corresponding to the three sets of replicas. To ensure the correctness of the write process, a standard checksum byte is recalculated and appended before each write operation. For example, 300 seconds is converted to hexadecimal 0x012C and written as four bytes; then, a byte of 0x3C is appended as a checksum and written to the corresponding address segment. After each replica is written, a readback operation is immediately performed to compare whether the stored content is completely consistent with the written value. If they are consistent, the write is marked as successful; otherwise, the write is rewritten until completion or the memory is determined to be damaged and an exception is reported.

[0041] During parameter repair, the system temporarily locks the control commands that the parameters depend on, preventing them from being scheduled for execution. Specifically, the command is marked as "pending repair frozen" in the control command task queue, and a lock detection condition is added to the command scheduler. When the scheduler encounters this command, it disallows the allocation of execution resources or the triggering of actions based on the current state. For example, if a control task is responsible for controlling the ventilation of a fan, and its associated parameter is detected to be under repair, the fan activation action is aborted to avoid using unconfirmed valid parameters. This lock state remains in place until all three sets of replicas are repaired, all replicas are read back consistently, and verification passes.

[0042] After the parameter value is written successfully and the readback confirmation is successful, the parameter repair lock is released, allowing the corresponding control command to re-participate in scheduling. Simultaneously, all operation information for this repair event is recorded in the event log. The log includes: the parameter name that triggered the repair, the error copy detection time, the three sets of parameter values ​​used for comparison, the selected repair version value, the write address and success status of each copy, the readback comparison result, the duration of the parameter lock, the repair completion timestamp, and the electrostatic interference risk index value at the time the repair was triggered. This log information will be stored in the system maintenance area for subsequent traceability audits and maintenance personnel to access.

[0043] This step serves to automatically repair errors detected in the control parameters of the main control chip, locking relevant control commands during the repair process to prevent the continued use of erroneous parameters. This effectively prevents cascading errors in the system control logic, ensuring the safety and stability of the intelligent control system under electrostatic interference conditions. In actual pig farming environments, intelligent control systems rely on a large number of control parameters stored in non-volatile memory units inside or outside the main control chip, such as temperature thresholds, ventilation delays, humidity ranges, and upper limits for gas concentrations. When factors such as electrostatic interference, power supply voltage fluctuations, and frequent electrical shocks from start-stop cycles affect the storage circuitry, it may cause single-bit or multi-bit data bit flips in certain critical parameters. However, these changes usually do not immediately trigger fault alarms during system operation and are easily overlooked. If such abnormal parameters continue to be used in the control logic, it may cause serious problems such as fan malfunctions, uncontrolled spraying, and temperature control interruptions, leading to imbalances in temperature and humidity in the pigsty, accumulation of harmful gases, obstructed air circulation, and inducing stress responses, metabolic disorders, and even mass mortality events in the pig herd.

[0044] This step uses a "three-set redundant replica consistency judgment" method to quickly identify which set of parameters is abnormal and selects the value supported by a majority of replicas as the repair baseline version. It automatically completes the overwrite repair operation without manual intervention, greatly improving the system's fault tolerance and self-healing capabilities. Simultaneously, to ensure the reliability of the repair process and the determinism of parameter states, this step uses a "control command locking mechanism" to temporarily freeze relevant execution paths. Before the parameters are repaired and verified, they are prevented from being invoked, avoiding further error propagation. Event logging and status tracking throughout the repair process also provide detailed evidence for subsequent maintenance and fault backtracking. Overall, this step not only enhances the system's self-protection capabilities in electromagnetic interference scenarios but also strengthens the isolation and constraints between control behavior and parameter states, making it a key core element in ensuring the stability of control logic and reducing safety risks.

[0045] The disturbance accumulation judgment module, based on the disturbance memory sliding window judgment process, performs integral accumulation judgment on the frequency and intensity of electrostatic interference events within a unit time. When the integral result exceeds the set threshold, the backup chip channel switching process is executed to switch the control logic to the backup chip channel to achieve logic path redundancy. To prevent control failure or execution errors caused by the main control chip operating under prolonged electrostatic interference risk, a control process based on a disturbance memory sliding window mechanism is proposed. This mechanism assesses the cumulative interference and initiates a switchover to a backup chip channel once a threshold is reached. The process continuously monitors the frequency and intensity of interference events and performs integral assessments within a set time period. When the accumulated value exceeds a preset risk threshold, the backup control channel immediately takes over, ensuring the system maintains operational stability and control reliability under high-interference scenarios. The process includes the following steps: A time-sliding window is set up for recording and managing electrostatic discharge (ESD) events. This window has a 10-second observation cycle and automatically updates every 10 seconds. Within each time cycle, the system collects instantaneous voltage changes on the main control chip's power input line, circuit grounding point, and relay control nodes through the interference sensing structure, and determines whether an ESD event has occurred. If one or more interference events are detected within 10 seconds, the event record is stored in the sliding window structure, including the event occurrence time, the corresponding interference intensity value (represented by a value from 0 to 100), and the number of occurrences. The sliding window structure uses a first-in, first-out (FIFO) queue organization method, maintaining data for 6 complete cycles to cover interference information within the most recent 60 seconds, providing continuous risk data support for subsequent integration judgments.

[0046] The historical interference data stored in the sliding window is integrated to form the current cumulative interference risk value. The integration method involves multiplying the number and intensity of interference events recorded in each cycle, then summing the products to form a cycle score; multiple cycle scores are then summed to form a cumulative risk score. For example, if three interference events occur in the first 10-second cycle with intensities of 72, 85, and 90 respectively, the risk score for that cycle is (72 + 85 + 90) = 247 points. The scores for the subsequent five cycles are 225, 201, 165, 198, and 180 points respectively. The system sums the scores for the six cycles to form a cumulative risk score of 1216 points. When this value exceeds a set risk threshold (e.g., 1000 points), it indicates that the main control chip is currently in a state of continuous strong interference, posing a potential risk of control instability.

[0047] When the accumulated risk score exceeds the threshold, the backup chip channel switching process is immediately triggered. The backup chip channel consists of a microcontroller with the same structure, performance, and interface configuration as the main control chip. It is normally in a dormant state and is only activated when the main control chip is deemed unstable. The switching process first wakes up the backup chip by activating its core power supply module via the power control pin and initializing its internal memory, loading configuration parameters, control strategy files, and control command sets identical to those of the main control chip. Subsequently, the system switches the external sensor signal input channels, actuator control channels, and communication interfaces from the main chip to the backup chip, rebinding the physical signal paths through multiplexing circuits and relay isolation. At this point, the backup chip takes over system control, responsible for executing all environmental control tasks, including fan start / stop, temperature and humidity adjustment, ammonia concentration detection response, and spray control. To prevent signal conflicts, all control output ports of the main control chip are uniformly set to a high-impedance state during this stage, stopping signal transmission with the actuators.

[0048] After the backup chip takes over, the system continues to monitor for electrostatic interference events and enters the main control chip state recovery determination phase. After being removed from control tasks, the main control chip will execute a complete self-test procedure, including item-by-item verification of internal register states, parameter copy consistency, power supply level stability, and execution logic checks. If no high-intensity interference events are detected within six consecutive sliding window cycles, and the main control chip passes all self-tests, the system will schedule a trial run test during the backup chip's idle cycle, reloading the control logic and outputting the results to an independent test channel for comparison. If the test results fully conform to the preset logic response and remain stable for more than one complete execution cycle (e.g., 30 seconds), the system will execute the control handover process, gradually migrating the control logic from the backup chip back to the main control chip. Otherwise, the backup chip continues to maintain its main control operation state until the next state switching determination.

[0049] The core function of this step is to automatically trigger the switching of the backup chip channel by integrating the frequency and intensity of electrostatic interference events over time, when the main control chip is under prolonged high interference and high-risk operating conditions. This ensures the stable execution of the system control logic and the continuous operation of environmental control functions. In actual pig farming environments, the electrical environment is complex, with frequent interference sources such as electrostatic discharge, motor start-up and shutdown, and power grid fluctuations. These can easily cause miswriting of the main control chip's internal registers, interruption of execution logic, or instruction jump errors. Most of these problems do not manifest as immediate chip failure but rather as a state of "latent instability," continuously threatening the system's control accuracy and responsiveness.

[0050] This step is based on a "sliding time window" structure. The system continuously records the occurrence of interference events, including the time of occurrence, intensity, and cumulative number of each interference event within a unit of time, and performs integral calculations over multiple window periods. By transforming the instantaneous risk of short-term interference into a long-term cumulative indicator, the overall operating environment status faced by the main control chip can be more accurately reflected, avoiding accidental triggering of backup channel switching due to a single sporadic interference. Simultaneously, setting a reasonable risk integral threshold ensures that the system only performs switching actions when the interference exhibits a continuous and high-intensity trend, guaranteeing the stability and continuity of the control path.

[0051] When the integral value exceeds a set threshold, the system immediately executes the backup chip channel switching procedure, allowing the backup chip to take over all control tasks. The backup chip maintains consistency with the main control chip in hardware structure, control logic, and communication protocol, but is normally in standby mode to ensure seamless takeover in case of main control chip failure or instability. This switching mechanism ensures a soft-landing switchover of the entire control logic during uninterrupted operation through physical signal path redirection, communication link rebinding, and control output isolation. After relinquishing control responsibilities, the main control chip enters a self-test and recovery state, while the system continues to monitor changes in the interference environment to create conditions for the subsequent recovery and use of the main control chip.

[0052] Therefore, this step not only has the ability to proactively identify risk trends, but also has the self-protection capability to switch the structural control channel before the chip is damaged, realizing a closed-loop response from "interference assessment" to "path reconstruction", effectively improving the continuous and stable operation capability of the entire aquaculture environment control system under high interference background, and is a key link in realizing highly robust and low failure rate intelligent control.

[0053] The backup channel takeover and recovery module loads historical operation logs and fault tracing information after the backup chip channel takeover control process, executes the control logic closed-loop repair judgment process, and dynamically adjusts the recovery timing and parameter unlocking strategy of the main control chip according to the environmental change trend and the distribution pattern of electrostatic interference sources to ensure that the control logic resumes normal operation in a stable system state. To ensure the safe and stable restoration of the main control chip's control function after the backup chip channel takes over the system control logic, and to prevent secondary system failures caused by the recovery of unstable or tampered chips, a main control chip recovery strategy based on runtime log loading, anomaly tracing, environmental status assessment, and simulation verification is constructed. This strategy does not immediately release the main control chip after the backup chip takes over. Instead, it uses a closed-loop repair process to determine whether to restore its control function only after the main control chip meets operational stability, security, and instruction consistency requirements. This process specifically includes the following steps: After the backup chip takes over control, the system immediately loads the operation log file and fault tracing information automatically recorded and transferred to the safe storage area by the main control chip before the error. This log file includes the complete control command execution sequence, sensor input data at the time of each command trigger (e.g., temperature 27.8℃, humidity 63.1%RH, ammonia concentration 16ppm), execution duration of each command (in milliseconds), register address call records, command jump records, output channel level changes, voltage and current fluctuation data, and interference event numbers and corresponding timestamps. Structured analysis of the log file extracts the command execution path, parameter access status, and control response time before and after the abnormal behavior occurs, forming a data foundation for subsequent logical judgments.

[0054] During the operation of the backup chip, the environmental change trend within the farm is continuously monitored, and sensor signals related to electrostatic interference are recorded, such as the number of power fluctuations, ground potential changes, and electromagnetic anomalies. These are then cross-analyzed with environmental data such as temperature, humidity, and gas concentration. In specific operations, if no electrostatic interference intensity greater than 80 is recorded within 60 consecutive minutes, and the environmental temperature and humidity changes are within the system-defined steady-state range (e.g., temperature fluctuations not exceeding ±1.0℃, humidity fluctuations not exceeding ±2%RH), the current environment is considered stable. Simultaneously, the recent behavior of the main control chip is checked in the logs. If no unrecoverable anomalies are found, such as multiple parameter mismatches, repeated control command jumps, or register operation failures, the current environmental status is recorded as "low risk," and preparations are made to enter the main control chip recovery pre-check phase.

[0055] The closed-loop logic repair and judgment process of the main control chip is executed, and its control logic is fully simulated using simulation. During this stage, the control channel is not directly released; instead, an independent virtual output interface is configured to simulate the control behavior of the main control chip. For example, when the main control chip executes the control command "ventilation fan on for 180 seconds," this command is not sent to the actual fan but is fed back to the simulator for comparison with the current behavior of the backup chip. The simulation cycle is set to one complete control logic cycle (e.g., 30 seconds). Comparison indicators include command sequence consistency, sensor data reading consistency, output timing delay not exceeding ±20 milliseconds, no parameter call misalignment, and no deviation in logic jump path. If the simulation process runs stably for three consecutive cycles without interruption or error response, the main control chip is considered ready for recovery.

[0056] After the above simulation verification is passed, the control handover process of the main control chip begins. To ensure that the control switch does not cause execution jumps, the control tasks currently being executed by the backup chip are first completed, and the data of unfinished tasks are encapsulated into a status report and handed over to the main control chip for loading. At the same time, the physical control path from the backup chip to the actuator is closed, the output pins of the main control chip are enabled, and the task scheduler of the main control chip is activated to take over the control tasks. To prevent the main control chip from having control deviations due to unsynchronized parameters after recovery, all operating parameters are synchronously updated to the main control chip's control register, including fan start / stop thresholds, humidity lower limit parameters, spray activation delay, automatic reset cooling time, etc. After the switch is completed, the backup chip switches to read-only monitoring mode to continuously observe whether the main control chip has a new round of interference response. If high-intensity voltage abnormalities, logic instruction offsets, execution response timeouts, etc. are detected within 30 minutes, control is automatically rolled back to the backup chip, and the log recording and recovery process is restarted.

[0057] The purpose of this step is to establish a safe closed-loop judgment mechanism for the recovery of the main control chip after the backup chip channel temporarily takes over the intelligent control task. This ensures that the main control chip can smoothly resume operation after the interference environment gradually subsides and the system operation stabilizes, based on thorough safety verification, rather than abruptly switching over and causing new control risks. In the pig farming environment, factors such as electrostatic discharge, motor start-up and shutdown, and power fluctuations can easily cause instantaneous interference or potential damage to the main control chip. The resulting operational anomalies may not directly lead to system collapse, but they can cause implicit control faults such as incorrect parameter writing, instruction jumps, and response delays. Therefore, after the backup chip takes over the control logic, the main control chip cannot be immediately trusted to be in an available state. It must undergo multiple judgment processes, including log backtracking, fault tracing, environmental trend analysis, and simulation verification, to ensure that the main control chip is currently in a physically stable, electrically safe, logically correct, and parameter-reliable state before it is qualified to re-intervene in the control task.

[0058] Specifically, this step involves loading the main control chip's historical operation logs and fault trigger data to trace the execution path before and after the fault, thus clarifying the error type and scope of impact. Simultaneously, sensors collect environmental parameters such as temperature, humidity, voltage, current, and gas concentration, combined with interference frequency and intensity records within a sliding window, to assess whether the current state is "low interference." Furthermore, the main control chip's internal simulation logic executes a complete control flow, comparing its output behavior with the current logic of the backup chip to verify consistency in control behavior, accuracy of timing, and normality of the logic path. This constructs a rigorous "behavior-state-environment" triple closed-loop recovery mechanism.

[0059] Ultimately, only when there are no abnormal log entries, environmental interference risks are eliminated, simulation logic behavior is normal, and parameter consistency is achieved, will the system smoothly transfer control back from the backup chip to the main control chip and continue executing automated control tasks. This step not only greatly enhances the system's self-healing capability and environmental awareness of chip-level faults, but also prevents the main control chip from mistakenly entering operation under conditions where interference has not been cleared or data has not been recovered, thus preventing a chain reaction of system failures. It is the last core line of defense ensuring the stable, safe, and recoverable operation of the entire intelligent aquaculture control system.

[0060] The efficient intelligent control system for pig farming environment constructed using the above scheme can achieve dynamic perception, anomaly identification, and automatic recovery control of the main control chip's operating status throughout the entire process, even in complex electrical environments such as electrostatic interference, electromagnetic interference, and high-frequency motor start-stop, significantly improving the system's anti-interference capability and the stability of its control behavior. This invention uses an interference perception module to achieve real-time quantitative analysis of high-frequency distorted signals, identifying potential discharge risks at the source; combined with command offset detection and parameter consistency verification mechanisms, it can detect command behavior offsets and control parameter tampering caused by interference in the first instance, and accurately pinpoint the error source based on the three-way consistency principle, achieving rapid repair; a disturbance accumulation judgment module establishes a safety threshold for time continuity, ensuring automatic switching to a backup control channel when interference risks accumulate to a warning threshold, preventing the main control chip from continuing to operate in an unstable state; and through a backup channel takeover and recovery mechanism, log backtracking, simulation verification, and dynamic recovery of the main control chip are performed after the environment stabilizes, achieving a safe closed loop for the system's control logic. Overall, the system possesses end-to-end protection capabilities of "real-time perception - behavior verification - redundancy switching - closed-loop repair," which can effectively prevent problems such as system malfunction, parameter miswriting, and abnormal regulation caused by electrostatic interference, fundamentally improving the operational safety, intelligence, and reliability of the pig farming environment control system.

[0061] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A highly efficient intelligent control system for pig farming environment, characterized in that, It includes an interference sensing module, a command offset detection module, a parameter consistency verification module, a parameter repair control module, a disturbance accumulation judgment module, and a backup channel takeover and recovery module. The interference sensing module collects high-frequency signal distortion factors from the power supply path of the main control chip and peripheral circuits, calculates the signal amplitude mutation rate and electric field disturbance spectrum, and generates electrostatic interference risk indicators to assess the intensity and frequency of potential discharge events in real time. The instruction offset detection module inputs the interference risk index into the instruction execution stability detection process, compares the execution path of the current critical control instruction with the historical execution curve, and determines whether there is any non-inertial offset behavior caused by electrostatic interference. If the parameter consistency verification module determines that there is abnormal behavior, it calls three sets of independent parameter copies in the redundant registered storage unit to perform a three-way consistency voting verification to determine whether there is a data bit flip in the current parameter state. If the parameter status is abnormal, the parameter repair control module will trigger the parameter repair process. Based on the voting results, the replica with the most support will be selected and written back to the main storage area for parameter repair. The control command for this round will be locked to prevent error propagation. The disturbance accumulation judgment module, based on the disturbance memory sliding window judgment process, performs integral accumulation based on the frequency and intensity of electrostatic interference events within a unit of time. If the integral result exceeds the set threshold, it switches to the backup chip channel to achieve control logic redundancy. The backup channel takeover and recovery module loads historical operation logs and fault tracing information after the backup chip channel takeover control process, performs closed-loop repair of control logic, and adjusts the recovery timing and parameter unlocking strategy of the main control chip according to the trend of environmental changes, so that the control logic can resume operation in a stable system state.

2. The intelligent control system for efficient pig farming environment according to claim 1, characterized in that, Establishing an interference intensity sensing process includes the following steps: Voltage sensors, current sensors, and potential monitoring electrodes are deployed on the DC power supply line and peripheral key control lines of the main control chip, respectively, and the sampled signals are input to the processor via an analog-to-digital converter. The collected voltage and current signals are subjected to abrupt change rate analysis to calculate the rate of change between adjacent sampling points and form a disturbance confidence value. Perform Discrete Fourier Frequency Analysis on the above signal to extract the energy distribution in the range of 10kHz to 10MHz and generate the spectrum matching factor; The perturbation confidence value and the spectrum matching factor are fused in a weighted average manner to construct an electrostatic interference risk index, which is updated every 10 milliseconds to identify high-risk discharge events.

3. The intelligent control system for efficient pig farming environment according to claim 1, characterized in that, The process of inputting interference risk indicators into the instruction execution stability test includes the following steps: Record environmental sensor data, control output response, register call status and I / O interface signal timing during the execution of key control commands to construct historical behavior paths; When the interference risk index exceeds the set threshold, the complete execution path data of the current control command is collected in real time. The current execution path is compared with the historical paths item by item to determine whether there is any non-inertial deviation behavior. If more than three indicators in the comparison results exceed the reference range and occur twice consecutively, and the corresponding interference risk indicators all exceed the set threshold, it is determined to be an abnormal instruction behavior, and the parameter consistency verification process is triggered.

4. The intelligent control system for efficient pig farming environment according to claim 1, characterized in that, The parameter integrity verification process includes the following steps: Three sets of control parameter replica areas with consistent structure, independent address distribution, and separate access paths are preset, and parameter values ​​and verification fields are written synchronously. After detecting abnormal instruction behavior, the parameter values ​​and verification fields in three independent addresses are read sequentially to determine their format integrity and legality. The three sets of parameter values ​​read are compared for consistency, and a double confirmation mechanism is used to determine whether there is a data bit flip. If an abnormal replica exists, the parameter value supported by the majority of replicas will be overwritten into the three replica areas, and the execution status of the control instruction associated with that parameter will be temporarily locked.

5. The intelligent control system for efficient pig farming environment according to claim 4, characterized in that, Performing a consistency comparison on the read parameter values ​​includes the following steps: Compare the three sets of parameter values ​​one by one. If the three sets of parameter values ​​are completely consistent, they are determined to be valid parameter values. If only two of the three sets of parameter values ​​are consistent, and the corresponding validation fields are valid, then the consistent value is determined to be the correct parameter value. If the three sets of parameter values ​​are different, or only one set of validation fields is valid, and the other two sets have structural omissions or significant deviations from historical records, then the current parameter status is marked as having a risk of data bit flipping.

6. The intelligent control system for efficient pig farming environment according to claim 1, characterized in that, The trigger parameter repair process includes the following steps: When the comparison results of the three sets of parameter replicas are inconsistent, the parameter value with the most supported values ​​is selected as the repair value based on the consistency principle. The repaired values ​​are written sequentially to the three sets of replica storage addresses, with standard check bytes appended. At the same time, a readback comparison is performed to confirm the consistency of the write. During the parameter repair process, the associated control commands are set to a frozen state to prevent them from being scheduled and executed. After the parameters are successfully written and verified by readback, the control command freeze state is lifted, and the complete log information of the repair process is recorded.

7. The intelligent control system for efficient pig farming environment according to claim 1, characterized in that, The process of switching the backup chip channel based on the perturbation memory sliding window judgment procedure includes the following steps: A time sliding window is constructed every 10 seconds to collect the occurrence time, interference intensity value and occurrence number of electrostatic interference events, and the sliding window queue is updated. The cumulative risk score is obtained by multiplying the number of interference events in each period of the sliding window by the corresponding intensity value and then summing the products. When the cumulative risk score exceeds the set threshold, the backup chip wake-up operation is triggered, the configuration parameters and control strategy file are loaded, and the sensor input channel and control output channel are switched. Set all control outputs of the main control chip to a high-impedance state, stop signal output, and let the backup chip take over the environmental control task.

8. The intelligent control system for efficient pig farming environment according to claim 7, characterized in that, The cumulative risk score is calculated by multiplying the number of interference events in each period of the sliding window by their corresponding intensity values ​​and then summing the products. This process includes the following steps: Within each sliding time period, the intensity values ​​of all electrostatic interference events within that period are obtained, and the number of events occurring is counted. The risk score for that period is obtained by multiplying the intensity value of each disturbance event by the number of times it occurs within that period. The risk scores from multiple cycles are summed to obtain the current cumulative risk score, which is then compared with a set threshold to determine whether to trigger the backup chip channel switching process.

9. The intelligent control system for efficient pig farming environment according to claim 1, characterized in that, The following steps are included after the backup chip channel takeover control process: Load the operation log file and fault tracing information recorded and saved before the main control chip malfunctioned, and extract the control command execution path, parameter access records and interference event numbers; Monitor the intensity of electrostatic interference, the number of power fluctuations, and the changes in ground potential in the current environment, and combine this with temperature and humidity data to determine the stability of the current environment; After confirming that the environment is stable and there are no unrecoverable anomalies, the simulation operation of the main control chip is performed to verify the consistency of the instruction sequence, the output timing delay, and whether the logic jump path is deviated. After three consecutive rounds of stable and error-free simulation, control was handed over, the main control chip was switched to control execution mode, and all operating parameters were updated synchronously.

10. The intelligent control system for efficient pig farming environment according to claim 9, characterized in that, After confirming that the environment is stable and there are no unrecoverable anomalies, the simulation and verification process of the main control chip is executed, including the following steps: Configure virtual output interfaces to isolate the actual control channels; Execute the control commands of the main control chip and collect simulation output; Compare the simulation output with the current control behavior of the backup chip to check whether the instruction sequence is consistent, whether the output action timing delay exceeds ±20 milliseconds, and whether there is any offset in the logic jump path. If there are no interruptions or abnormal responses during three consecutive rounds of simulation, the main control chip is deemed to meet the conditions for resuming operation.

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