102results about How to "Realize coordinated control" patented technology

The invention provides a chip overheating automatic protection control method and system, and relates to the technical field of chip protection, and the method comprises the steps: arranging distributed temperature sensors on a chip, obtaining the real-time temperature data of different regions in the chip, dynamically adjusting the data collection frequency and precision, and generating an optimized temperature data flow; and inputting the optimized temperature data stream into a pre-trained temperature anomaly detection model, detecting the temperature anomaly condition of each region in the chip in real time, outputting the temperature anomaly level of the abnormal region, and triggering thermal emergency processing of different intensities according to the temperature anomaly level. The temperature and power consumption information of the abnormal area is sent to the global manager; the method comprises the following steps: generating an initial chip protection strategy, predicting a future temperature change trend of a chip, identifying a potential high-temperature abnormal region, optimizing the initial chip protection strategy by combining a prediction result, generating an optimal chip protection strategy, and realizing chip overheating automatic protection control according to the optimal chip protection strategy.

The invention belongs to the technical field of distributed resource control of a power distribution network, and particularly relates to a distributed resource cooperative control method based on layering and partitioning autonomy of the power distribution network. The method comprises the following steps: S100, proposing an active power grid layering and zoning control strategy oriented to feeder autonomy; s200, establishing a power distribution network area power regulation and control information model of hierarchical and distributed control; and S300, realizing distributed resource cooperative control based on layering and partitioning autonomy of the power distribution network. According to the distributed resource cooperative control method provided by the invention, the distributed photovoltaic, user load and distributed energy storage coordinated control in the transformer area is realized by combining a feeder-autonomous-oriented active power distribution network layered and partitioned control strategy and utilizing the edge computing capability of the transformer area intelligent fusion terminal, the distributed photovoltaic absorption capability is improved, and the distributed resource utilization rate is improved. Energy supply and demand imbalance caused by distributed photovoltaic randomness is stabilized, and the economic operation level of a power distribution area is improved.

The invention discloses an optical storage micro-grid coordination control method and system based on SoC improved droop control. The method comprises the steps that under the condition that the voltage of a direct-current bus is smaller than an upper limit threshold value of the voltage of the direct-current bus, each optical storage micro-grid unit is controlled to work in a first mode, a photovoltaic array achieves maximum power point tracking through a variable step size perturbation and observation method, and an energy storage battery adjusts the voltage of the direct-current bus through a droop control equation of secondary voltage compensation; and under the condition that the DC bus voltage is greater than or equal to the DC bus voltage upper limit threshold, each optical storage micro-grid unit is controlled to work in a second mode, the photovoltaic array uses a voltage stabilization control method to adjust the DC bus voltage, and the energy storage battery is in an idle state or a constant charging state. According to the scheme provided by the invention, the utilization rate of photovoltaic power generation can be improved, overcharge and overdischarge of the energy storage battery are avoided, the service life of the battery is prolonged, seamless switching of the light storage micro-grid mode is realized, and safe and stable operation of the light storage micro-grid is ensured.

The invention relates to the technical field of energy conservation. The dynamic energy-saving control method comprises the steps of obtaining real-time load information and environment information of all servers in a server cabinet, calculating energy efficiency scores of all the servers based on the real-time load information, confirming task allocation information through the energy efficiency scores, and according to the task allocation information, determining the energy efficiency of all the servers according to the task allocation information. Determining the workload distribution condition of each server, obtaining cooling demand information, inputting the cooling demand information into a cooling control model, obtaining cooling strategy information, determining the time period and condition of energy utilization based on the cooling strategy information and the environment information, generating an energy efficiency regulation and control strategy, and obtaining the energy efficiency regulation and control strategy according to the task distribution information and the cooling demand information. And generating energy-saving control information according to the cooling strategy information and the energy efficiency regulation and control strategy. The method has the effect of effectively reducing the energy consumption of the cabinet on the premise of ensuring the normal operation of each server in the server cabinet.

The invention relates to the technical field of traffic signal control, and discloses a long trunk road multi-path coordination green wave optimization method and system based on electronic police data, and the optimization method comprises the following steps: obtaining a long trunk road structure, intersection signal timing parameters and electronic police data; acquiring path flow and path average travel time in the target trunk road according to the electronic police data; identifying a key path in the trunk road based on the path information; constructing and solving an optimization model aiming at maximizing the weighted sum of the green wave bandwidth of the key path; and adjusting the signal control parameters of the actual road section according to the optimization result of the optimization model. The method can be applied to an urban long trunk road scene, independent green waves are provided for multiple paths, and the traffic flow passing efficiency of the urban trunk road is improved.

The invention provides a nine-level inverter topological structure and a modulation method thereof, the topological structure comprises a load end, and a first direct-current voltage source, a second direct-current voltage source and a third direct-current voltage source which are respectively connected with the load end, and the output voltage ratio among the first direct-current voltage source, the second direct-current voltage source and the third direct-current voltage source is 2: 1: 1. By configuring an insulated gate bipolar transistor and a power diode, the number of switching tubes is reduced, and the inverter is ensured not to have the problems of power backward flowing and instantaneous peak voltage, so that the power backward flowing phenomenon caused by the fact that the current of a high-voltage power unit reversely flows into a low-voltage power unit and the instantaneous peak voltage during inductive loading are avoided; the stability of circuit output power is ensured, the design is simplified, and a step wave and carrier wave laminated hybrid modulation method is used, so that the low switching loss of a high-voltage power unit and the excellent harmonic characteristic of the output voltage of the inverter are ensured.

The invention discloses a pull-push continuum robot, and belongs to the technical field of continuum robots. The robot comprises a tendon pulling module, a middle module and a structural backbone pushing module. The middle module is arranged between the tendon pulling module and the structural backbone pushing module; the tendon pulling module transmits tendon driving force to the structure backbone pushing module through the middle module, and continuous robot structure deformation is completed. Tendon driving and rod driving are naturally fused, a complex spatial configuration can be achieved through at least one motor, the tendon driving rigidity is improved, and the robot control difficulty is reduced.

The invention relates to the technical field of power grid power, in particular to a power distribution network power control method and system, intelligent equipment and a readable storage medium, and aims to solve the technical problems of ensuring power maximization and realizing lowest cost of a power distribution network while realizing zero static error of voltage control of the power distribution network. In order to achieve the purpose, according to the power distribution network attributes of the power distribution network, the power compensation strategy of the power distribution network can be determined, according to the power distribution network voltage and the power compensation strategy, the power compensation instruction of the power distribution network is obtained, and according to the power compensation instruction, power control is performed on the power distribution network. Different power compensation strategies are determined, and a power compensation instruction is obtained according to the voltage of the power distribution network and the power compensation strategies, so that power compensation of the power distribution network is realized, power control of the power distribution network is realized, zero-static-error adjustment of the voltage of the power distribution network can be realized, and the power compensation efficiency is improved on the premise of ensuring that the voltage of the power distribution network is not out of limit. The voltage and power coordination control of the power distribution network is realized, and the benefit maximization of the power distribution network is ensured.

The present invention discloses a passive far-infrared chip and a chip array, belonging to the technical field of far-infrared chips. The passive far-infrared chip includes an energy capture module and a far-infrared emission module; the energy capture module is used to capture the far-infrared radiation energy in the human body and the environment as a trace amount of electric energy for driving the chip to work; the far-infrared emission module is used to generate and emit far-infrared rays of a specific band. The present invention integrates the energy capture module and the far-infrared emission module in a tiny chip through a stacked chip structure, so as to achieve continuous and stable far-infrared emission and generate heat energy; at the same time, the chip is wired connected through a flat cable design, and based on the existing DC synchronization technology and networking technology, wired networking between chips is performed to achieve coordinated control of different chips, so as to maximize the effect of absorbing limited energy.

This invention relates to the fields of machine learning and edge computing technology, specifically to a blockchain-based trusted distributed hybrid expert model edge computing system. The system includes a task publisher for publishing learning tasks, which may be training or inference tasks; a blockchain network for receiving learning tasks and evaluating expert weights to obtain sparse activation expert index results; a blockchain network for receiving learning task processing results from the edge layer and achieving consensus; a gating network deployed within the blockchain network; an edge layer for downloading the corresponding expert model from the storage layer based on the sparse activation expert index results to process the learning tasks and uploading the processing results to the blockchain network; and a storage layer for storing all expert networks, each with a CID. This invention significantly improves the defense capability of the distributed MoE network against malicious edge node data tampering attacks, thereby ensuring the learning performance of the MoE system.

The invention discloses a method for increasing charging power by connecting multiple modules of a motorcycle in parallel. The method comprises the following steps that a whole vehicle charging seat is connected with a charging gun and receives CC and CP signals; the OBC connected with the charging gun wakes up preferentially and starts to judge CC and CP values of the gun, and the OBC is identified as a host OBC; after the host OBC and the charging gun complete handshake, the host OBC and the battery perform handshake; the slave OBC is awakened, and an OBC charging ID distribution process is entered; and the host OBC performs power distribution according to the power capability and the temperature rise of each OBC. The charging pile sends a PWM signal to the vehicle through the CP pin, the vehicle end determines the maximum charging current capable of being provided by the charging pile according to the duty ratio of the received PWM signal, and meanwhile, the vehicle feeds back state information of the vehicle to the charging pile through the CP line, so that coordinated control over the charging process is achieved.

The invention discloses an idling and starting control method and system for a high-power gear train high-voltage power generation off-road vehicle. The method comprises the steps that S100, the operation intention of a driver is determined according to a vehicle signal, and an idling control mode is determined; s200, the temperature of cooling liquid, the rotating speed of an engine and current gear information of a gearbox are obtained, and the torque limit value TCGU of power generation of the GCU is obtained; s300, the cooling liquid temperature, a GCU request power signal, a gearbox current gear, a gearbox target gear signal and an engine rotating speed limiting value signal sent by a TCU for switching from an N gear to a D gear are obtained, and a first idle speed target rotating speed A is determined; and S400, the cooling liquid temperature and the air conditioner state information are obtained, the second idling target rotating speed B of the engine is calculated, the final idling target rotating speed is determined, the PID control process is executed based on the current engine rotating speed, and the engine is controlled to reach the target idling rotating speed. Coordinated control over power generation and engine idling during vehicle idling and idling starting is achieved.

According to the power plant level super-synchronous multi-level early warning and shaft system torsional vibration coordinated control method and system, when the oscillation time of each piece of monitoring data of an oscillation frequency point is not smaller than a time fixed value of oscillation warning, an early warning instruction is generated according to an early warning rule, and when a first-level early warning instruction is sent, a second-level early warning instruction is sent; when the deviation between the machine head and / or machine tail rotating speed oscillation frequency and the inherent frequency of the thermal power generating unit is not larger than a threshold value, it is judged that machine head and / or machine tail torsional vibration exists in the thermal power generating unit; when the torsional vibration trip-out time of the machine head and / or the machine tail in the oscillation mode is larger than a trip-out time fixed value, a first-level early warning instruction is sent, and a thermal power generating unit trip-out instruction is generated; if the machine head and / or machine tail torsional vibration coordination control time of the oscillation mode is larger than a coordination control time fixed value, or if the first-level early warning instruction is sent, but the machine head and / or machine tail torsional vibration coordination control time of the oscillation mode is smaller than the coordination control time fixed value, a request coordination control instruction is sent to an upper level. And performing graded early warning on safe and stable operation of the thermal power generating unit, and taking measures to prevent the torsional vibration risk.

The present invention provides a whole-body coordinated control method of a quadruped robot based on constraint and motion decoupling, which relates to the field of robot control technology, and includes: step 1: establishing a dynamic model; step 2: obtaining a motion space equation by multiplying the dynamic model with the null space mapping matrix of the constraint matrix; step 3: obtaining a control rate that makes the system exhibit impedance characteristics; step 4: converting the control rate in the Cartesian space into a joint driving torque by Jacobi mapping, step 5: constructing a quadratic programming problem in the constraint space; step 6: obtaining the joint driving torque in the constraint space, and adding it to the joint torque obtained in the motion space as an instruction sent to each driving joint motor. The present invention realizes trajectory tracking control and compliant control, thereby maintaining accurate motion control during walking, and having a certain degree of compliance to adapt to uneven ground, realizing whole-body coordinated control, and making the robot walk smoothly without slipping.

The application discloses a method for analyzing the interaction of multiple grid-connected inverters based on matrix norm theory, and aims at the interaction between grid-connected inverters, takes a power distribution system containing two grid-connected inverters as an analysis object, establishes an equivalent grid-connected model containing two inverters based on the Norton theorem, derives a transfer function matrix of a control system, and quantitatively analyzes the relationship between the interaction between inverters and the system frequency, equivalent grid-connected inductance and controller combination mode based on the spectral norm and condition number of the transfer function matrix, so as to provide a reference for the coordinated control of the inverters. A simulation model is built in Matlab / Simulink for analysis. The application provides a simple and effective method for analyzing the interaction of inverters, and provides a theoretical method for the coordinated control of the inverters.

The present invention discloses a freezing station wireless monitoring system based on monitoring nodes with self-generated and self-supplied power supply, including freezing station equipment and remote monitoring equipment; the freezing station equipment includes a station controller, a station monitoring platform, a 5G gateway in the freezing station, a station gateway, several monitoring nodes and a station wireless network, and the remote monitoring equipment includes a remotely monitored 5G gateway and a remote monitoring platform; the station controller is respectively connected to the station monitoring platform, the 5G gateway, and the station gateway; the station gateway realizes wireless communication connection with each monitoring node in the station through the station wireless network; the 5G gateway in the freezing station is connected to a cloud server through a 5G network, and the cloud server realizes data interaction with the remote monitoring platform through the remotely monitored 5G gateway. The remote monitoring platform can set or adjust the power supply system working strategy of each monitoring node through the 5G network, or the on-site operator can set or adjust the power supply system working strategy of each monitoring node through the station monitoring platform.

This application relates to the fields of power technology and energy storage technology, and in particular to a method, apparatus, equipment, and medium for scheduling a grid-connected distributed energy system. The system includes at least one edge energy node, a distribution bus, and an energy metering device. When any edge energy node enters the current cycle, the system acquires the net external power collected by the energy metering device and compares it with the target power to obtain a power deviation value. Based on the power deviation value and the energy state information of the edge energy node, droop control calculation is performed to obtain the current energy storage output power. Based on the current energy storage output power, power output is executed and the cycle repeats. This application establishes independent control of each edge energy node in the grid-connected distributed energy system through droop control calculation. It effectively achieves coordinated control of system-level power without the need for a central controller, improving the reliability, autonomy, adaptability, and real-time performance of the grid-connected distributed energy system control.

The invention discloses an all-terrain control system. The system comprises an instruction receiving end, a ZCU and a plurality of actuators. The instruction receiving end is connected with the ZCU, and the ZCU is connected with the multiple actuators. The instruction receiving end is used for obtaining a terrain control instruction and sending the terrain control instruction to the ZCU. And the ZCU is used for converting the received terrain control instruction into a plurality of request signals and sending the request signals to the corresponding actuators, so that the actuators execute corresponding control actions based on the received request signals. According to the all-terrain control system, terrain control logic and functions are separated from the IBDU and sent to the ZCU for processing, the ZCU is responsible for converting and sending the request signal to the actuator, and the clear control process can reduce control chaos, so that the stability and reliability of the all-terrain control system are improved.

The invention discloses a multi-channel combustor for a methanol-to-hydrogen fuel rotary kiln for producing potash fertilizer. The multi-channel combustor comprises an air supply system, an ignition system, a monitoring system, a fuel system and an electric control system. The air supply system comprises a fan, an air conveying pipeline and an air pipe, the air conveying pipeline penetrates through the combustor shell through the air pipe to be connected with the center gas ignition pipeline, and the air conveying pipeline penetrates through the combustor shell through the air pipe to be in full contact with mixed fuel of a main path gas air pipeline, input into the combustor main path, of the gas supply main pipeline. The electric control system automatically adjusts fuel supply and air distribution according to fluctuation of pressure, temperature, flame form and the like of the monitoring system, combustion is sufficient, and heat efficiency is high; the safety is high, and the combustor is provided with a central gas ignition pipeline to independently supply gas for combustion; during starting, the central pipeline is firstly ignited, and after normal and stable combustion, the electric control system opens the main gas valve, so that the fuel can enter the main gas air pipeline of the combustor to be normally combusted without detonation.

The invention provides an energy storage system, an energy storage converter control method thereof and a computer program product. The energy storage converter control method of the energy storage system comprises the steps of collecting load data of load equipment using electric energy of the energy storage system; a control instruction is sent to an energy storage converter according to the load data, and the energy storage converter executes the control instruction so that power generation equipment and energy storage equipment connected with the energy storage converter can meet the power supply requirement of the operation mode of the energy storage system; obtaining energy storage operation data after the control instruction is executed, wherein the energy storage operation data comprises an energy storage converter, power generation equipment and operation state data of the energy storage equipment; generating a materialized energy data view by using the integrated energy storage operation data; and synchronizing the materialized energy data view to the energy storage cloud control platform. The scheme provided by the invention has the characteristic of quick and efficient control of the local controller, can meet the requirement of an operation mode, and realizes efficient operation of the whole energy storage system.

The invention provides a method for improving speed control precision by optimizing an FOC algorithm, and relates to the technical field of motor control, and the method comprises the following steps: S1, obtaining a speed PI controller and a magnetic flux PI controller in the FOC algorithm; s2, the speed ring PI controller calculates and outputs Uq through the target speed given value and the angular speed; s3, the flux PI controller calculates and outputs Ud through the flux weakening given value and the feedback value; and S4, after the Uq and the Ud are subjected to PARK inverse transformation, the Uq and the Ud are input to CLARK inverse transformation or SVPWM, a control signal is modulated and output through a microcontroller, and a three-phase motor is driven to operate. According to the method, on the basis of a traditional FOC algorithm, calculation of a current loop Iq is removed, and Uq is directly calculated and output through a speed loop PI, so that the influence of current sampling interference on speed control precision can be effectively avoided, the calculation time of the current loop is effectively shortened, the system control delay is reduced, and the motor operation stability is improved.

The invention relates to a sintering flue gas treatment system and method for reducing CO emission. The sintering flue gas treatment system comprises a first flue gas treatment loop, a second flue gas treatment loop, a main flue gas treatment loop, a first detector group, a second detector group, a third detector group, a controller and the like. Waste flue gas of the low-temperature working section of the sintering machine is extracted through the first flue gas treatment loop and fed into a combustion area of the high-temperature working section of the sintering machine to participate in combustion, and CO contained in the waste flue gas is oxidized into CO2; waste flue gas of the sintering machine high-temperature section is extracted through a second flue gas treatment loop and fed into a combustion area of the sintering machine low-temperature section to participate in combustion, and high-temperature heat is provided for the low-temperature section; and the main flue gas treatment loop is used for carrying out heat exchange and temperature rise on the extracted flue gas through the circular cooler, and CO contained in the flue gas is oxidized into CO2. According to the invention, the CO in the sintering flue gas is efficiently removed, the operation is simple, convenient and flexible, the flue gas waste heat utilization is realized, and the removal efficiency of the CO in the sintering waste flue gas is improved.

The application discloses a power grid frequency control method and device, equipment and storage medium, relates to the power grid frequency control technical field, and includes: obtaining an optimal energy storage configuration scheme, wherein the optimal energy storage configuration scheme is obtained by global optimization and solution based on a preset energy storage optimization configuration model; collecting power grid real-time operation data according to the optimal energy storage configuration scheme, extracting power grid operation characteristics, and generating a feedforward power compensation reference value based on the power grid operation characteristics; generating an adaptive optimal control instruction using a preset decision model based on the power grid operation characteristics and the feedforward power compensation reference value; checking and correcting the adaptive optimal control instruction based on a preset full-scenario safety constraint rule, and issuing the corrected executable control instruction to an execution unit to realize power grid frequency coordinated control. The application can realize full-scenario frequency stability support in normal state, disturbance and black start, and significantly improve the inertia level, disturbance resistance and fault recovery speed of high-proportion new energy power grids.

The present invention provides a method for adaptive hybrid impedance control of a space manipulator without a force sensor, comprising: establishing a decoupled recursive adaptive dynamic controller to adaptively process the inertial parameters of the space manipulator; establishing an external force estimator without a force sensor to estimate the force at any position of the manipulator without a force sensor; establishing adaptive hybrid impedance control based on the decoupled recursive adaptive dynamic controller and the external force estimator without a force sensor to obtain an adaptive hybrid impedance control strategy without a force sensor, and realizing position control or impedance control in a task subspace divided according to requirements. The method of the present invention can significantly improve the adaptive ability of the space manipulator to the uncertainty of its own dynamic parameters and environmental parameters when performing contact tasks.

The invention relates to the technical field of intelligent park digital operation and maintenance, in particular to a multi-node collaborative intelligent park digital operation and maintenance system and a control method, and the method comprises the following steps: collecting multi-source operation data, and executing protocol conversion, time synchronization and local jitter removal processing at a gateway end; sending the processed collected data to a central access layer, carrying out authentication and flow limiting on the data, and writing the data into message middleware; mapping data accessed by the message-oriented middleware to a unified asset model and performing unit and semantic standardization; writing the time sequence data into a time sequence database, and writing the event and the audit information into an event and audit library; and performing missing interpolation, quality labeling and preliminary filtering on the data. According to the invention, through a hierarchical alarm and strategy scheduling mode, the accuracy of abnormity identification and the timeliness of operation and maintenance processing are improved, the frequency of manual intervention is reduced, and the stability and reliability of system operation and the overall efficiency of intelligent park digital operation and maintenance are improved.

The present invention relates to the technical field of vehicle trajectory control, and discloses a method for smoothing the trajectory of intelligent networked vehicles at a signalized intersection based on formation control, the method comprising dividing the upstream area of ​​the signalized intersection into a free driving area, a vehicle formation area, and a speed guidance area, and determining the length of the speed guidance area and the formation length of the intelligent networked vehicles; according to the driving state and motion relationship of the intelligent networked vehicles entering the vehicle formation area from the free driving area, an incremental PID algorithm is used to control the spacing and speed between the intelligent networked vehicles; according to the signal light state when the intelligent networked vehicles enter the speed guidance area from the vehicle formation area, the intelligent networked vehicles are guided at speed to smoothly pass through the signalized intersection. The present invention realizes the refined coordinated control of intelligent vehicles in the upstream area of ​​the intersection under different signal light conditions, thereby greatly reducing the energy consumption and pollutant emissions of vehicles while ensuring the safety and efficiency of vehicle traffic.

The present application relates to the technical field of industrial nondestructive testing, in particular to a nondestructive testing robot welding seam automatic tracking system based on multi-modal sensing. It comprises a data acquisition module, a data preprocessing module, a data fusion module, a trajectory generation module and a motion control module. Point cloud data is obtained by a laser scanner, image information is obtained by an RGB-D camera, and attitude data is obtained by an inertial measurement unit. After denoising, downsampling and correction processing of multi-modal data, data fusion is realized by Kalman filtering, and continuous welding seam spatial trajectory points are output. The trajectory generation module generates end pose sequences through three-dimensional B-spline fitting and surface normal estimation, and adopts quaternion interpolation for attitude smoothing processing. The motion control module combines differential path keeping and hybrid position-force control to ensure that the robot accurately tracks along the welding seam centerline and maintains constant contact force, while having process correction function to improve the stability and reliability of the system in complex welding seam environment.

The present application provides a kind of immersion probe window self-cleaning method and device, belong to immersion probe technical field, the present application constructs acoustic pressure distribution prediction model using physical information neural network to optimize transducer installation position, adopts square wave signal generator to realize the time-sharing control of cleaning and detection, utilizes dynamic time warping algorithm to match the real-time transducer impedance change time sequence with cleaning success time sequence template library to adaptively determine the cleaning completion state, determines the detection equipment start time dynamically through vibration attenuation real-time monitoring module, and the cleaning intensity is closed-loop regulated by artificial intelligence light window pollution evaluation model and driving power adaptive adjustment function, solve the technical problems that cleaning completion state cannot be adaptively determined in the self-cleaning process of immersion probe window, leading to fixed cleaning time and unable to adapt to different pollution conditions.

The present invention provides a chip overheating automatic protection control method and system, which relates to the field of chip protection technology, including arranging distributed temperature sensors on a chip, acquiring real-time temperature data of different areas inside the chip, dynamically adjusting the frequency and accuracy of data collection, and generating an optimized temperature data stream; inputting the optimized temperature data stream into a pre-trained temperature anomaly detection model, detecting the temperature anomaly of each area in the chip in real time, and outputting the temperature anomaly level of the abnormal area, triggering thermal emergency processing of different intensities according to the temperature anomaly level, and sending the temperature and power consumption information of the abnormal area to a global manager; generating an initial chip protection strategy, and predicting the future temperature change trend of the chip, identifying potential high-temperature abnormal areas, optimizing the initial chip protection strategy in combination with the prediction results, generating an optimal chip protection strategy, and realizing chip overheating automatic protection control according to the optimal chip protection strategy.

The invention discloses a storage space humidity control method and equipment. The method comprises the steps that the environment humidity in a storage space is obtained, and the deviation between the environment humidity and the preset safety humidity is determined; determining a humidity load state based on a change trend of the environment humidity in a preset time range; automatically switching different humidity control operation stages according to a combination result of the humidity deviation and the humidity load state; and in the different humidity control operation stages, differential adjustment is carried out on the operation parameters of the humidity control equipment. By introducing a control strategy combining multi-parameter sensing, trend analysis and staged control, the problems that an existing humidity control system is lagged in response, frequently started and stopped, unstable in humidity control, high in energy consumption and the like are effectively solved. According to the scheme, the safe target humidity is adaptively set based on the grain type, trend analysis is carried out by utilizing the historical humidity data, and the change of the environment humidity is pre-judged in advance, so that the lagging adjustment risk caused by single-point threshold control is avoided.