438results about How to "Improve control efficiency" patented technology

The invention relates to the technical field of laser control, in particular to a high-power fiber laser stable output control method and system. The method comprises the following steps: monitoring a multi-mode sensing signal of an optical fiber laser in real time based on an optical fiber sensor array; performing dynamic optical fiber sensing change analysis on the multi-mode sensing signal of the optical fiber laser to generate a dynamic optical fiber sensing change characteristic; laser output phase distribution analysis is carried out on the dynamic optical fiber sensing change characteristics, real-time power feedback adjustment is carried out, and a dynamic light beam power feedback adjustment strategy is constructed; overheat power unbalance analysis is carried out based on a fiber laser multi-mode sensing signal, and local temperature control power fine tuning is carried out, so that a local temperature control power fine tuning strategy is constructed; and performing sensor position calculation on the optical fiber sensor array one by one, and performing nonlinear optical effect analysis to generate nonlinear optical effect characteristics. According to the invention, efficient and stable laser output control is realized.

The invention relates to a remote-control system of a stratospheric airship and a control method thereof. The control system is divided to four levels: a decision-making level for executing the selection and switch of a remote-control flight mode according to the actual working state data, and sending a corresponding mode command; a planning level for dynamically planning and generating an airship motor drive command according to the mode command sent by the decision-making level; an executing level for realizing the drive control to an airship motor according to the motor drive command of the planning level; and a perceiving level for finishing the real-time monitoring and data collection of the airship working state, and providing the original data of the airship working state to the decision-making level. The four-level control system architecture design of the control system is capable of simplifying the control device, improving the control efficiency, and fundamentally solving the problems of the function, efficiency and reliability of the near space airship ground and airborne control system.

The invention discloses a crop disease remote sensing monitoring and early warning system based on time sequence spectral information analysis, and relates to the technical field of agricultural disease and insect pest monitoring. Computer drawing software is utilized to divide a corn planting field in equal proportion, and sensors are deployed to monitor the growth environment change in each grid in real time and generate microenvironment data information; the method comprises the following steps: calculating a microenvironment difference index Xbd according to microenvironment data, identifying a microenvironment difference aggregation area and sending a risk analysis instruction, after receiving the risk analysis instruction, capturing related spectral data information of the microenvironment difference aggregation area by using an unmanned aerial vehicle and a multispectral sensor, and constructing a multispectral fluctuation coefficient Xgp by analyzing related spectral data, and comparing the calculated rust disease risk assessment index Zpg with a preset threshold W in combination with the microenvironment difference index Xbd and the trained risk assessment model, and obtaining corresponding grade early warning according to the rust disease risk degree.

The invention provides a voltage out-of-limit control system based on multi-agent deep reinforcement learning, and the system comprises a power grid region division module which is used for dividing a power grid into a plurality of regions, and each region at least comprises one piece of photovoltaic equipment; the photovoltaic equipment control strategy model building module is used for carrying out modeling by adopting a partially observable Markov decision process aiming at photovoltaic equipment in each region of the power grid to obtain a photovoltaic equipment control strategy model; and the photovoltaic equipment control strategy output module is used for inputting the current operation parameters of the power grid in each region into the photovoltaic equipment control strategy model, and solving the photovoltaic equipment control strategy model by using a double-delay depth deterministic strategy gradient algorithm. And obtaining reactive power of each photovoltaic inverter and outputting the reactive power to a power grid of a corresponding area to control the voltage of each node to be within a preset range. According to the method, the problems of voltage fluctuation and out-of-limit caused by distributed photovoltaic access to the power grid are effectively solved, and the control efficiency and the control effect are improved.

The invention provides a swivel measurement and control system for a swivel bridge. The method comprises the following steps: establishing a multi-parameter monitoring model in a bridge swivel process; the multi-parameter monitoring model is a monitoring model which is based on N times of sampling and comprises p sensor parameters; establishing a control model of swivel measurement and control of the swivel bridge; for the control model, establishing an adaptive adjustment algorithm under a multi-parameter monitoring model; and performing swivel measurement and control on the swivel bridge through a self-adaptive adjustment algorithm. According to the invention, accurate monitoring and control of the bridge swivel process can be realized, the safety and accuracy of swivel operation are ensured, good adaptability and real-time performance are achieved, and the efficiency and quality of bridge swivel engineering can be effectively improved.

The invention relates to a multi-spacecraft cooperative game control method, device, equipment and medium, and the method comprises the steps: inputting the current state quantities of a plurality of trackers having a cooperative relationship in a multi-spacecraft cooperative pursuit scene into a plurality of tracker agents trained by employing an agent training method, so as to obtain the current motion quantities of the plurality of trackers, inputting the current state quantity of the escaper into an escaper intelligent agent trained by using an intelligent agent training method to obtain the current action quantity of the escaper; and controlling the plurality of trackers to perform a cooperative game according to the current action quantities of the plurality of trackers and the current action quantity of the escaper, so that the plurality of trackers in the cooperative game perform pursuit capture on the escaper, and the cooperative pursuit game is ended until any one of the plurality of trackers completes capture of the escaper within the game duration. The technical problem that the cooperative game effect among multiple spacecrafts is not good when the multi-spacecraft orbit game problem is solved.

The invention discloses a tension servo control method and system suitable for multiple scenes, and belongs to the technical field of tension servo control. Comprising the following steps: respectively installing a tension sensor and an encoder at specified positions based on structural characteristics of an execution mechanism, simultaneously acquiring a pressure signal # imgabs0 # of the tension sensor and a pulse signal generated by the encoder at a specified frequency, and converting the pressure signal # imgabs1 # into a digital signal to obtain a current tension value # imgabs2 #; based on the pulse signal, rotating speed conversion is carried out to obtain the current rotating speed # imgabs3 # of the tension roller, the current rotating speed # imgabs4 # is combined, a rolling diameter calculation formula is utilized to obtain the current rolling diameter # imgabs5 #, PID parameters are dynamically adjusted by adopting the current rolling diameter # imgabs6 #, and a self-adaptive fuzzy algorithm is constructed; and the current tension value # imgabs7 # and the current rotating speed # imgabs8 # serve as input, and a control variable # imgabs9 # is obtained through calculation. The tension control system is different from a tension control system based on a PLC in the prior art, signal identification and data output are directly carried out through the encoder, the PLC scanning period is omitted, and the control efficiency is improved.

The invention discloses a reinforcement learning-based multi-unmanned ship formation hunting control method, which comprises the following steps of: constructing a multi-unmanned ship motion system influenced by environmental interference, and constructing a hunting formation error variable; constructing a virtual controller of the unmanned ship by adopting a backstepping method based on the encircling formation error variable; constructing a leader ship formation hunting controller based on a reinforcement learning method in combination with a neural network; constructing a following ship formation hunting controller based on an adaptive backstepping method in combination with the Lyapunov theory and a neural network; and according to the leading ship formation hunting controller and the following ship formation hunting controller, formation hunting control of the target ship is realized. The problem that the control performance of the multiple unmanned ships is insufficient due to the interference of complex marine environments such as wind, waves and flow in the process of efficiently executing a hunting task in the formation of the multiple unmanned ships, the cooperative relationship between the chasing unmanned ships cannot be fully reflected, the formation of the multiple unmanned ships is difficult to control, and the hunting efficiency of the multiple unmanned ships is improved is solved. And the control is difficult to realize at the cost as low as possible.

The invention provides a robot control method, a robot and electronic equipment. The robot control method comprises the steps that the current pose and the target pose of the tail end of a mechanical arm of the robot are determined; a first assembly with the control precision higher than or equal to a preset precision threshold value is determined from all assemblies contained in the robot, and the first assembly comprises the mechanical arm where the tail end of the mechanical arm is located; according to the difference between the current pose and the target pose, target angles corresponding to all joints in the first assembly are determined through an inverse kinematics algorithm; and according to the target angles corresponding to the joints in the first assembly, the robot is controlled. According to the technical scheme, the control precision and the task execution efficiency of the robot control process can be improved.

The invention relates to the technical field of face recognition, in particular to a nursing process control method and system based on face recognition and a storage medium. Comprising the following steps: firstly, performing identity recognition on a person in a hospital monitoring video through an identity recognition model; the model identifies clothing features, action features, carried article features and activity background features of a person to distinguish nursing objects; secondly, the nursing object is analyzed during monitoring, if the current monitoring time is the nursing time, corresponding operation is carried out, and if the current monitoring time is not the nursing time, state recognition is carried out on the nursing object in all aspects, and reminding is carried out in time; finally, a nursing effect evaluation method is provided, and according to the method, effect evaluation is carried out by collecting various data of a nursing object in the monitoring period and combining physical examination data of the nursing object after nursing is completed. According to the method, the efficiency and quality of the nursing control process are improved.

The invention discloses a power grid voltage optimization method and device based on hierarchical constraint reinforcement learning, and relates to the technical field of power grid voltage optimization. According to the invention, the hierarchical reinforcement learning model under the long time scale and the short time scale is constructed, and the condition of the power grid voltage is divided into two time scales for adjustment, so that the power grid voltage is optimized in a layer-by-layer coordination and step-by-step optimization mode. The short-time-scale voltage optimization model makes up the deficiency of the long-time-scale reinforcement learning model due to the uncertainty of the load and the distributed power supply, thereby improving the accuracy of power grid voltage regulation. Layered training is carried out on the initial layered voltage optimization model through a layered constraint reinforcement learning solution algorithm, global collaborative optimization of the power grid voltage is effectively realized, and the search space is effectively reduced through a constraint Markov decision model, so that the calculation efficiency and accuracy of the layered voltage optimization model can be improved, and the optimization efficiency of the power grid voltage is improved. And the control efficiency and accuracy of the power grid voltage are improved.

The invention discloses a light source assembly control method and device of a rendering engine, electronic equipment and a storage medium. The method comprises the steps that light source information of all light source examples in a virtual scene is acquired; acquiring a light source demand text input by a user; inputting the light source information and the light source demand text of the light source instance into a light source setting prediction model to obtain a light source setting instruction corresponding to the light source demand text; the light source setting prediction model is used for outputting a light source setting instruction capable of being recognized by the rendering engine and achieving a light source effect corresponding to the light source demand text according to the light source demand text, and the light source setting instruction comprises light source attributes and corresponding numerical values; and according to a light source setting instruction corresponding to the light source demand text, controlling a light source assembly of the light source instance in the virtual scene through a rendering engine. A user does not need to master related operation knowledge of the light source assembly of the rendering engine, and can quickly adjust the light source assembly in the virtual scene only by inputting the light source demand text, so that an expected illumination effect is achieved.

The invention relates to a flow meter valve control method based on a neural network, which comprises the following steps: a sensor of a flow meter performs real-time dynamic prediction on a controlled object model by using an RBF neural network, dynamically adjusts parameters of a PID controller of the flow meter according to a prediction result, and finally controls real-time flow through a piezoelectric valve. The adaptive characteristic of the RBF neural network enables the RBF neural network to maintain efficient and accurate control performance under different working conditions and environments. By training and optimizing network parameters, the RBF neural network can learn dynamic characteristics of the system on line and adjust a control strategy in real time, so that the flexibility and robustness of the control system are remarkably improved. Compared with a traditional PID controller and a fuzzy controller, the RBF neural network can process a complex nonlinear system more effectively, and higher control precision and efficiency are provided.

The invention discloses a landslide susceptible area grading evaluation method based on an extreme rainfall Thiessen polygon. Extreme rainfall is the most direct factor for inducing landslides, and the possibility of landslides in corresponding areas can be increased by increasing the extreme rainfall frequency and the extreme rainfall intensity. According to the method, a research area is divided into a plurality of Thiessen polygon areas, and only one rainfall station or weather station exists in each Thiessen polygon area; obtaining long-sequence day-by-day rainfall data, respectively calculating an extreme rainfall frequency index and an extreme rainfall intensity index of each station, and obtaining an extreme rainfall evaluation result of each Thiessen polygon region; performing visual interpretation or artificial intelligence interpretation on the remote sensing satellite image to obtain a large-range landslide layer; and superposing the extreme rainfall evaluation result of each Thiessen polygon region and the large-range remote sensing landslide interpretation result, and carrying out grading evaluation on the landslide-prone region. According to the invention, grading evaluation is carried out on the landslide-prone areas, and the prevention and control efficiency of landslide disasters is improved.

The invention provides a multi-microgrid load frequency control method based on dynamic event triggering, which can be applied to the technical field of intelligent microgrids. The method comprises the steps that a local sampling error of the micro-grid system is acquired, the local sampling error is obtained based on a global neighborhood error and a local neighborhood error of the micro-grid system, and the local neighborhood error is used for representing a state difference between the micro-grid system and a neighbor micro-grid system at a sampling moment; under the condition that the local sampling error meets a dynamic event triggering rule, updating an initial weight matrix of the action-evaluation neural network based on the local sampling error to obtain a target action-evaluation neural network; and determining a load frequency control strategy of the micro-grid system based on the system state of the micro-grid system at the sampling time and the target action-evaluation neural network. The invention further provides a multi-microgrid load frequency control device based on dynamic event triggering.

The invention discloses a crown block carrying control method and system and a material carrying system.According to the crown block carrying control method, an MCS obtains material information read by a reader and verifies the material information when the reader exists, the material carrying accuracy can be guaranteed, material carrying is directly carried out when verification is passed, and the material carrying efficiency is improved. According to the method and the system provided by the invention, the vehicle-mounted reader does not need to be called for identification, and the crown block provided with the vehicle-mounted reader does not need to be called for identification, so that traffic congestion possibly caused by stopping of the crown block when the vehicle-mounted reader reads is avoided, the planning difficulty of a crown block control path is reduced, and meanwhile, the carrying efficiency is improved; and when the verification is not passed, the material information of the to-be-carried material is re-identified by calling the crown block provided with the vehicle-mounted reader, so that the carrying accuracy is further ensured, an unnecessary carrying process in the prior art is omitted, the carrying efficiency is improved, and effective compatibility of efficiency and accurate carrying is realized.

The invention provides a marine storage battery water injection and electrolyte monitoring system and method, and the system comprises a marine storage battery water injection monitoring group control subsystem which constructs a marine storage battery water injection and monitoring bottom layer control unit combined multi-layer architecture, carries out the real-time online monitoring of the water injection state and electrolyte state of a storage battery, and carries out the real-time online monitoring of the water injection state and electrolyte state of the storage battery; acquiring water injection state information and electrolyte state information of the storage battery; the storage battery data transfer station combination subsystem is used for carrying out grouped storage battery data transfer through a grouped storage battery data transfer station according to the storage battery water injection state information and the electrolyte state information; the water injection electrolyte state display and control subsystem is used for sending a density measurement instruction through a state display and control upper computer to carry out density measurement and carrying out storage battery water injection state and electrolyte state display control; and the distributed layering complete subsystem constructs a distributed layering water injection monitoring complete system through a data transfer layering communication protocol, and carries out integrated monitoring control on the water injection state and the electrolyte state of the marine storage battery.

The invention discloses a control system for automatically wrapping a coil with an insulating tape, which relates to the field of power systems and comprises an image acquisition and processing module, a tape wrapping mechanism sensing module, an operation control module, a safety monitoring module, a data interaction module and a memory module. A multi-sensor network is combined to monitor the state of a taping mechanism in real time, track optimization and active-disturbance-rejection closed-loop control are utilized to ensure that taping is accurate and efficient, big data analysis is introduced to rapidly recognize and call control instructions of similar historical events, the control efficiency and accuracy are improved, and the taping accuracy is improved. The system also has visual monitoring and remote parameter adjustment functions and a cloud database historical data storage function; the limitation problem that a traditional automatic packaging system is only suitable for coils in regular shapes is solved, the efficiency, precision and safety of automatic insulating tape wrapping of the coils are improved, and intelligentization and automation of the production process are achieved.

The invention relates to a V2G-based electric energy quality control method and device and computer equipment, and relates to the technical field of electric power. The method comprises the following steps: acquiring charging and discharging information of a target vehicle collected by each charging pile; acquiring power grid operation information of the target power grid; determining each quality evaluation index value corresponding to the target power grid according to the charging and discharging information and the power grid operation information; and when the quality evaluation index value exceeds a preset index threshold value, starting a quality control function of the power grid management module. The method can improve the control efficiency of the electric energy quality.

A jacket plate is of a hollow structure, a plurality of partition plates are arranged in the jacket plate at intervals, a cooling water inlet and a cooling water outlet are formed in the two ends of a water channel respectively, the five jacket plates are spliced in a sealed mode to form a box body, and in every two jacket plates corresponding to any two opposite sides of the box body, a cooling water inlet and a cooling water outlet are formed in the water channel. One is provided with a replacement water inlet, the other is provided with a replacement water outlet, a plurality of liquid nitrogen pipelines are hermetically inserted into any two opposite sides of the box body, the liquid nitrogen storage tank is connected with the liquid nitrogen pipelines, an outlet of the ultrapure water storage tank is connected with the replacement water inlet, and the cooling water outlet and the replacement water outlet are both connected with an inlet of the cooling device. An outlet of the cooling device is connected with the cooling water inlet. According to the temperature of the ultrapure water in the box body, a cooling water temperature control mode is preferentially used, on the basis, a replacement water temperature control mode and a liquid nitrogen temperature control mode are added, the temperature control efficiency of the ultrapure water in the box body is high through three modes and three pipes, and related problems in the prior art can be solved.

The invention discloses an unmanned aerial vehicle voice control system and method. The system comprises a voice acquisition module used for acquiring a voice instruction sent by an unmanned aerial vehicle operator; the voice processing module is used for performing preprocessing and voice recognition on the voice instruction received by the voice acquisition module, and converting the voice instruction into text data based on a voice recognition result; the unmanned aerial vehicle ground control module is used for generating an instruction flow based on the text data and an instruction library and sending the instruction flow to an unmanned aerial vehicle operator for confirmation and sending; the instruction library is used for storing keywords of control instructions; the unmanned aerial vehicle airborne computer is used for receiving the instruction process and controlling the unmanned aerial vehicle to act based on the instruction process; and the communication module is used for communication between the unmanned aerial vehicle ground control module and the unmanned aerial vehicle airborne computer. According to the invention, accurate control of actions of the unmanned aerial vehicle by voice is realized, the operation control process of the unmanned aerial vehicle is greatly simplified, and the control efficiency is remarkably improved.

The invention discloses a current saturation algorithm-based converter control mode switching method and system, and the method comprises the steps: building an outer loop voltage control equation of a fault-free network-building converter, and defining that the converter operates in a constant voltage mode; current limitation of a device under the fault is considered, a dq-axis current reference value under the fault is generated based on a current saturation algorithm, and a current converter is defined to operate in a current limiting mode; after a fault occurs in the constant voltage mode, whether the current amplitude of the converter exceeds the saturation current amplitude which can be borne by the device at the fault moment is judged, and the converter enters the current limiting mode from the constant voltage mode to operate; in the current limiting mode, when a difference value between an actual value and a reference value of active power output by the converter is smaller than a given value, exiting the current limiting mode, and entering a constant voltage mode for operation; and finally, on the basis of a switching rule of the converter between the CVC mode and the CLC mode, obtaining a switching model after the network-forming converter suffers from a fault. According to the invention, automatic switching can be realized to avoid the device overcurrent problem, and the logic is simple and effective.

The invention discloses a control method of a multi-cabinet liquid cooling system, electronic equipment and a computer readable medium, all liquid cooling cabinets are communicated with communicating pipe sections through communicating vessels, the lengths of liquid inlet pipe sections are matched, and the lengths of liquid outlet pipe sections are matched; periodically detecting the environment temperature, the liquid level of each liquid cooling cabinet and the liquid pool temperature; determining each liquid-cooled cabinet as one of the four cabinets according to the liquid level and the liquid pool temperature of each liquid-cooled cabinet; controlling the opening of the communicating vessel of the liquid cooling cabinet with normal load and normal liquid level; for the liquid cooling cabinets with normal loads and abnormal liquid levels, liquid inlet valves of the liquid cooling cabinets are controlled according to the liquid levels of the liquid cooling cabinets; controlling a communicating vessel of the liquid cooling cabinet with abnormal load and normal liquid level to open, and controlling a liquid pump of the liquid cooling cabinet according to the temperature of a liquid pool and the environment temperature of the liquid cooling cabinet; the liquid pumps of the liquid cooling cabinets with abnormal loads and abnormal liquid levels are controlled according to the liquid pool temperature and the environment temperature, and the liquid inlet valves of the liquid cooling cabinets are controlled according to the liquid levels of the liquid cooling cabinets. And the control and cooling efficiency is improved.

The invention discloses an integrated electronic braking system which comprises a central controller and motor driving circuits, the motor driving circuits are electrically connected with wheel edge motors, and at least two motor driving circuits are arranged in the central controller. According to the integrated electronic braking system, the motor driving circuit is integrated to the central controller, the problem that the working environment is severe when the brushless motor driving circuit is arranged on the wheel end brake can be solved, the performance and reliability of the whole EMB system can be improved, and the running safety of a vehicle can be effectively ensured. The invention further discloses a control method of the integrated electronic brake system and a vehicle.

The invention relates to the technical field of optical systems, in particular to a light beam directivity deviation correction method and system. The method comprises the following steps: acquiring a light spot centroid position offset signal of a light source beam in the camera unit; according to the light spot centroid position offset signal, decoupling control is carried out through a target coupling matrix, and a driving voltage value of the fast steering mirror unit is obtained; the target coupling matrix is used for indicating a coupling coefficient relationship between the displacement change of the fast reflecting mirror unit and the position change of light spots in the camera unit; and based on the driving voltage value, controlling each fast reflecting mirror in the fast reflecting mirror unit to rotate around the respective axis so as to correct the directivity deviation of the light beam of the light source. According to the invention, by introducing the target coupling matrix, the coupling relation of light spot centroid change in the camera caused by angle change of the reflector in the horizontal and pitching directions is successfully eliminated, the problem that the other kind of error rises when a certain kind of error is adjusted is avoided, and accurate control is realized.

The invention relates to a cross-network exchange service flow strategy control method, which comprises the following steps of: S1, constructing a strategy controller and limiting identities of two communication parties; s2, the strategy controller maintains a resource pool based on analysis and prediction; s3, after the transmitting end initiates the transmission service actively, the strategy controller dynamically adjusts the flow control strategy; s4, the cross-network switching processing system processes the transmission service according to a strategy; wherein the strategy controller comprises a strategy management module, a name address directory module, a behavior analysis module and a resource management module. According to the invention, through design oriented to future IPv6, transmission services of corresponding levels are provided for users, services and applications, and the problem of flow control strategies in cross-network transmission is solved.

The invention relates to the technical field of hypersonic flame spraying control, in particular to a hypersonic flame spraying closed-loop control system, which comprises a hypersonic flame particle parameter acquisition module for acquiring a particle rate sequence and a flame flow temperature sequence of each time period in a hypersonic flame spraying process; the hypersonic flame particle parameter analysis module is used for obtaining flame flow fluctuation quantity of each extreme point in the particle rate sequence corresponding to each time period; the flame velocity temperature influence quantity of the supersonic flame in each time period is obtained; obtaining a filtering parameter closed-loop regulating variable of high velocity oxy-fuel spraying control; and the hypersonic flame spraying control module is used for adjusting filtering parameters in IMC control of each time period according to the difference between the filtering parameter closed-loop adjusting quantity of each time period and the filtering parameter closed-loop adjusting quantity of the adjacent previous time period. The control quality and efficiency of high velocity oxy-fuel spraying are improved, and the spraying process is more accurate and stable.

The front auxiliary frame clamp comprises a bottom plate, a vertical plate is fixedly connected to the top of the bottom plate, a front auxiliary frame is arranged on the front side of the vertical plate, clamping plates are arranged at the top and the bottom of the front auxiliary frame, sliding grooves are formed in the top and the top of the front side of the vertical plate, and transmission rods are fixedly connected to the rear sides of the clamping plates. The motor drives the gear and the toothed belt to rotate, the gear is matched with the toothed belt to drive the control disc to rotate, the control disc drives the transmission rod to move towards the side away from the gear, the transmission rod drives the clamping plate to move towards the side away from the front auxiliary frame, and after the front auxiliary frame is separated from the clamping plate, the front auxiliary frame loses positioning. When the front auxiliary frame clamp is installed, the disassembling steps are operated reversely, the front auxiliary frame clamp has the advantage of automatic opening and closing control, the front auxiliary frame clamp is automatically opened and closed in the using process, manual brute force operation is not needed, and the using convenience of the front auxiliary frame clamp is improved.

The invention discloses a high-efficiency low-energy-consumption sludge low-temperature drying system and a control method thereof, relates to the field of heat pump drying, and solves the problem of poor control effect of an existing sludge low-temperature drying system. The data monitoring module is used for respectively acquiring sludge accumulated treatment duration, sludge real-time moisture content, a cavity temperature monitoring coefficient, a pipeline temperature monitoring coefficient, a cavity humidity monitoring coefficient and an environment humidity monitoring coefficient to obtain drying system equipment monitoring data; the first control module is used for analyzing equipment monitoring data of the drying system to perform heat supply control and drying control on the sludge drying system; and the second control module is used for analyzing equipment monitoring data of the drying system to perform dehumidification control and ventilation control on the sludge drying system. The control efficiency and the working efficiency of the sludge drying system can be improved.

The invention discloses bacillus amyloliquefaciens JQ-4 for antagonizing pathogenic bacteria of tobacco target leaf spot and application of the bacillus amyloliquefaciens JQ-4, and belongs to the technical field of screening of antagonistic strains of the pathogenic bacteria of the tobacco target leaf spot, bacillus amyloliquefaciens is JQ-4 and is named as bacillus amyloliquefaciens J in taxonomy, and bacillus amyloliquefaciens JQ-4 is named as bacillus amyloliquefaciens JQ-4 in taxonomy and is named as bacillus amyloliquefaciens JQ-4 in taxonomy. The strain is applied to preparation of a microbial preparation for preventing and treating tobacco target leaf spot pathogenic bacteria, the prevention effect is improved, and the pathogenic bacteria are prevented from generating drug resistance.