370results about How to "Stable control" patented technology

The invention provides a cement decomposing furnace temperature prediction control method based on a KAN enhanced neural network, and belongs to the technical field of cement calcination. A CNN-LSTM-KAN network is established as an f-CaO and Nox prediction model, and a state parameter optimization objective function is established in connection with actual production requirements; and solving an optimal solution and an optimal solution interval of the state parameters of the decomposition furnace through a multi-target particle swarm optimization algorithm. A KAN-Enhanced-Informer network is established to predict the temperature of the decomposition furnace, a target function is established by combining a state optimization result with the more accurate prediction result, the less coal consumption and the reasonable alternative fuel quantity as targets, the optimal solutions of the coal feeding quantity and the alternative fuel quantity are obtained, and the optimal solutions are applied to a control model to ensure that the temperature of the decomposition furnace reaches the optimal set value. The problems that in the actual cement production process, energy consumption is too high, the yield is not ideal, and much sewage is discharged are solved.

The invention relates to the technical field of power system automatic control, and discloses a primary frequency modulation method and device for controllable load resources to participate in a power system, and the method comprises the steps: obtaining the load state data of the power system, carrying out the multi-dimensional load clustering of the load state data, and obtaining a load feature time sequence data set; based on the load characteristic time sequence data set, establishing a Koopman operator high-dimensional linear model of the power system by using an extended dynamic mode decomposition algorithm; performing optimization solution on the load state of the power system by using the Koopman operator high-dimensional linear model of the power system to obtain an optimal load control sequence; and performing frequency adjustment on controllable load resources participating in the power system by using the optimal load control sequence. According to the method, the stable prediction of the load state of the power system and the accurate adjustment of the frequency in the controllable load resources participating in the power system are realized, and the operation efficiency and the stability of the power system are improved.

The invention discloses a multi-converter carrier synchronization control method, device and system. The method comprises the following steps: triangular carrier signals with the same frequency and phase are stored in each controlled converter; when the controlled converter receives data sent by a data sender, a carrier synchronization signal is extracted from the received data; judging a phase relationship between the extracted carrier synchronization signal and a triangular carrier signal in the controlled converter; adjusting the peak value of the triangular carrier signal according to the judgment result of the phase relationship to realize phase consistency, if the phase of the triangular carrier signal is judged to be ahead of the carrier synchronization signal, controlling to adjust the peak value of the triangular carrier signal to be an increased preset value, and if the phase of the triangular carrier signal is judged to be lagged behind the carrier synchronization signal, controlling to adjust the peak value of the triangular carrier signal to be an increased preset value. And controlling the peak value of the triangular carrier signal to be adjusted to a reduced preset value. The method has the advantages of simple implementation method, low execution cost and complexity, high stability and reliability, strong anti-interference performance and the like.

The invention discloses an automatic driving vehicle dynamic drift obstacle avoidance control method based on working condition identification, which belongs to the field of automatic driving vehicle control, and comprises the following steps: sensing multi-dimensional dynamic characteristics of a vehicle and a surrounding environment, predicting information entropy of historical multi-dimensional dynamic characteristics by using a graph neural network, and determining the dynamic drift obstacle avoidance of the automatic driving vehicle. The sampling frequency of the sensor is adaptively adjusted according to the prediction error; based on the sensor sampling data after self-adaptive adjustment, a fuzzy logic enhanced time sequence convolutional neural network is adopted to judge whether the vehicle is in a drifting critical zone or not; adaptively adjusting a state weight matrix and a control weight matrix of a model prediction controller according to whether the vehicle is in a drifting critical zone or not, and calculating to obtain a vehicle front wheel steering angle and rear wheel driving force control instruction; and the control instruction is sent to a steering actuator and a driving actuator, and vehicle obstacle avoidance and trajectory tracking are achieved. The invention aims to improve the control capability and safety of the automatic driving vehicle under complex working conditions and improve the overall dynamic performance of the vehicle.

The invention provides a flap retractor for breast cancer surgery, and belongs to the technical field of medical instruments. Comprising an arc-shaped frame, third bent parts are arranged at the two ends of the arc-shaped frame, rebound frames are fixedly connected to the inner walls of the two ends of the arc-shaped frame, air bags are installed in the rebound frames, and second connectors are fixedly connected to the outer walls of the air bags; the drainage assembly is used for sucking interstitial fluid at the incision position of the skin flap, and the drainage assembly is connected with the arc-shaped frame and the rebound frame. By arranging the arc-shaped frame, the position of a skin flap incision can be supported and pulled, the skin flap incision is pulled and opened by means of the air bag and the rebound frame, by means of the pulling mode, operation is convenient and labor-saving, an operator does not need to continuously hold and apply force with hands in the actual operation process, manpower and material resources are saved, and the working efficiency is improved. And the size of the opening of the skin flap incision is controlled according to the air filled in the air bag, so that the control of the size of the opening is more stable, and the accuracy is higher.

The invention relates to a hyper-converged micro-service system for realizing multi-protocol communication, multi-type registration discovery and multi-type configuration control, and the system comprises a micro-service hyper-converged communication module which is used for uniformly creating, managing, detecting, using and destroying the connection of different communication protocols; the micro-service hyper-fusion registration discovery module is used for combining different registration centers into groups and combining services in a fusion mode; the micro-service hyper-convergence control module caches and configures in a unified cache mode in different configuration centers; and the micro-service hyper-fusion observable module is used for observing different types of indexes and links. By adopting the hyper-converged micro-service system for realizing multi-protocol communication, multi-type registration discovery and multi-type configuration control, unified registration release, unified service control, unified configuration management, unified service observation, unified document generation and unified compilation release of multi-protocol services can be realized; and a simple implementation environment is created for subsequent compatibility of the hyper-converged micro-service system.

The invention discloses a wind turbine generator variable pitch communication fault monitoring system and device, and relates to the technical field of monitoring systems.The wind turbine generator variable pitch communication fault monitoring system comprises an on-site monitoring system which comprises a wind turbine generator variable pitch control unit, an on-site monitoring module, a data acquisition module and a communication module and is used for acquiring, processing and transmitting monitoring data of a unit in real time; and the central monitoring system comprises a data receiving module, a data storage library, a state judgment module and a fault signal sending module, and is used for receiving, storing and analyzing data and early warning faults. According to the method, equipment damage and casualty risks caused by fault upgrading are avoided, powerful support is provided for safe and stable operation of the wind generating set, and the shutdown risk and the maintenance difficulty are remarkably reduced.

The invention discloses an operator / unmanned aerial vehicle cluster hybrid intelligent cooperative control system and method. The system comprises an operator credibility calculation module, an operator interaction instruction module, a cluster credibility calculation module, a distributed cooperative control calculation module and a visual display module. The method comprises the following steps: 1, giving a given agent cluster model and an unmanned aerial vehicle cluster model, and carrying out the mapping; 2, designing an unmanned aerial vehicle cluster communication model; 3, designing an unmanned aerial vehicle cluster distributed cooperative controller; and 4, designing a man-machine mutual trust model and judging the trust degree. According to the invention, by considering the influence of external environment interference on the unmanned aerial vehicle cluster and introducing the advantages of intelligent decision of human operators and distributed autonomous control of unmanned aerial vehicles, an efficient, flexible and extensible hybrid intelligent cooperative control framework is constructed, and the task execution efficiency and safety of the unmanned aerial vehicle cluster in a dynamic environment are improved.

The utility model discloses a side-mounted garbage collection and transportation manipulator which comprises a grabbing mechanism, a lifting mechanism, a transverse position adjusting mechanism, a telescopic mechanism, a visual auxiliary operation mechanism and a control mechanism. The grabbing mechanism is provided with a single-finger clamping jaw and a double-finger clamping jaw which can be adjusted independently or simultaneously, and the single-finger clamping jaw is located in a gap in the middle of the double-finger clamping jaw. A sensor is arranged on the tail end clamping jaw; the lifting mechanism drives the grabbing mechanism and the transverse position adjusting mechanism to ascend and descend, and overturning and dumping of the dustbin are achieved. The transverse position adjusting mechanism is used for adjusting the position of the grabbing mechanism in the transverse direction; the telescopic mechanism is used for driving the supporting and lifting mechanism to stretch forwards or retract backwards, and the visual auxiliary operating mechanism obtains an image at the grabbing mechanism and conveys the image to the control mechanism; and the control mechanism is provided with a controller for controlling other parts to work. The grabbing mechanism is controlled to be opened and closed more accurately, and the garbage can is prevented from being shrunken by clamping or falling off in the grabbing process; and the adjustment in the lifting or horizontal direction is more accurate.

The invention provides a flexible trailer detection method and system based on monocular vision. The method comprises the steps that monocular vision information and 3D point cloud information of a trailer are obtained respectively; information fusion is carried out on the monocular vision information and the 3D point cloud information to obtain image information, and the image information at least comprises posture, position and motion state information of the flexible pull part; performing feature extraction and target detection on the image information to obtain target information of the flexible pull part; monocular direction estimation of a front pose is carried out on the target information, and pose information of the flexible pull part is obtained; and performing path planning and decision adjustment based on the pose information in combination with the dynamic change of the front vehicle, and generating a control instruction to control vehicle tracking. According to the invention, the high-efficiency detection of the flexible towed object is realized by using the monocular vision technology, and the safety and the operation efficiency of the towed vehicle are improved.

The invention provides an infusion flow rate control optimization method based on improved PID (Proportion Integration Differentiation), which belongs to the field of PID control optimization and comprises the following specific steps: S1, acquiring key operation data in an infusion process by utilizing a real-time monitoring device; s2, dynamically matching the infusion flow rate change trend monitored in the infusion process with the response of the control system to generate an infusion flow rate error; s3, the infusion flow velocity error is input into an improved infusion flow velocity PID controller, and an infusion pump control signal is output; s4, according to the specific implementation of the improved infusion flow rate PID controller, the optimal control parameters of the infusion flow rate PID controller are obtained through iterative optimization of an improved simulated cooking training algorithm; the improved simulated cooking training algorithm comprises the following steps: S41, introducing a dynamic inertia weight; s42, using a global information transmission mechanism; s5, the infusion pump control signal is used for controlling the speed of an infusion pump, and accurate and stable control over the infusion flow speed is achieved.

The invention discloses a composite wing unmanned aerial vehicle transition process control method based on a fractional order sliding mode, and particularly relates to the field of composite wing unmanned aerial vehicle flight control. A Newton-Euler equation is adopted to carry out integrated modeling on a composite wing unmanned aerial vehicle transition process, and a longitudinal nonlinear mathematical model is deduced; designing a novel fractional order reaching law by combining a double-power reaching law and a fractional order calculus thought on the basis of a traditional exponential power reaching law, and constructing a pitch angle, air speed and four-rotor height fractional order sliding mode controller; and force and torque of the four-rotor system and the fixed-wing system are distributed by adopting an airspeed weight control distribution strategy, so that output of an actuator is solved. The sliding mode variable structure control is applied to the transition control of the composite wing unmanned aerial vehicle, and the proposed fractional order sliding mode control method improves the dynamic quality of the system, reduces the control steady state error, improves the robustness of the flight control system of the composite wing unmanned aerial vehicle, and realizes the stable control of the transition process.

The invention discloses a heterogeneous commercial motorcade multi-objective optimization control method and device under a time lag condition. The method comprises the following steps: S1, establishing a dynamic model and a queue system model of each vehicle in a commercial motorcade; s2, designing a queue controller based on a distributed model predictive control method, establishing a cost function and a constraint condition, defining a sub-predictive optimization problem for each vehicle, designing a vehicle following error, economical efficiency and comfort cost function, reducing vehicle following errors in heterogeneous vehicle queue driving, reducing energy consumption, improving comfort and improving queue comprehensive performance; s3, a buffer and a delay compensator are integrated on the controller, a delay compensation link is added to a control system, the control effect of the heterogeneous motorcade under the delay condition is improved, and stable control over the heterogeneous motorcade under the non-ideal communication condition is achieved; and S4, the target function is solved by adopting simulated annealing and a particle swarm optimization algorithm, the problem of nonlinear discontinuous target values in the target function is solved according to a probability method, the operation time is shortened, and the solving efficiency is improved.

The invention provides a humanoid robot single-leg gait transition action design and a control method thereof, and through an algorithm module of a finite-state machine and the single-leg gait transition action design, the problems of center-of-gravity shift and insufficient control precision of a biped robot during gait transition can be effectively solved. By means of the method, the gait control capacity of the robot in the complex environment is remarkably improved, especially in the single-foot supporting and single-leg jumping stage, the robot can be stably switched to the corresponding gait, and the possibility of inclination and unbalance is reduced.

The present invention belongs to the field of intelligent manufacturing and flexible manufacturing, and discloses a dual AGV collaborative handling system and a control method thereof, including a pilot AGV, a follower AGV and a shelf; the pilot AGV and the follower AGV are respectively connected to the bottom ends of the shelf, and the pilot AGV and the follower AGV are connected in communication; a first status information acquisition device is provided on the pilot AGV, and the first status information acquisition device is used to acquire the status information of the pilot AGV and send it to the follower AGV through the pilot AGV; a second status information acquisition device is provided on the follower AGV, and the second status information acquisition device is used to acquire the status information of the follower AGV and send it to the follower AGV, and the follower AGV is used to adjust its own position according to the status information of the pilot AGV and the status information of the follower AGV. The dual AGV collaborative handling system and the control method thereof of the present invention realize better handling and processing for the problem of handling large components that are difficult to be effectively carried out by a single AGV.

The utility model relates to an air knife fan remote control system which comprises an air knife device, the air knife device is provided with an air inlet pipe, an inlet of the air inlet pipe is connected with a fan, the fan is a frequency conversion fan, an input end of the frequency conversion fan is provided with a frequency converter, the frequency converter is used for adjusting the rotating speed of the fan, and the middle of the air inlet pipe is provided with a pressure sensor. The outer end of the pressure sensor is connected with a controller; the controller is in signal connection with the frequency converter; the air knife air pressure is detected through the air pressure sensor, the PLC controls the frequency of the frequency converter, it is ensured that the air knife air pressure is stable, and remote control is achieved.

The invention relates to the technical field of chemistry, and particularly discloses a device and method for measuring freezing point decline, and the device comprises a hood shell, a control system and a measuring mechanism; the control system is installed on the right side of the exterior of the hood shell and electrically connected with the hood shell. The measuring mechanism is arranged below the hood shell and comprises a bottom shell, a track platform, a clamping mechanical arm, a test tube rack, a liquid injection part, a solid adding part, cooling bath manufacturing equipment, a measuring part, test tube cleaning and drying equipment, a first pump body, a second pump body and a sensor. According to the device for measuring freezing point drop and the measuring method, the freezing point is measured by adopting full-process automatic operation, the experimental environment and process are more stably controlled, the consistency of experimental operation is ensured, the measuring time of a single sample is shortened, and the overall experimental efficiency is improved.

The invention provides a gas permeability testing device and method, and the device comprises a gas control device which provides gas for a sample and controls the supply of the gas; the heating device is used for heating the sample so as to test the air permeability of the sample at high temperature; the control device is electrically connected with the gas control device and the heating device and is used for controlling gas supply and heating temperature in the gas permeability testing process; wherein a temperature sensor is arranged in the heating device and is used for monitoring the temperature in the heating device in real time and transmitting the temperature in the heating device to the control device so as to correct and calculate the air permeability test result. According to the air permeability testing device, accurate temperature monitoring and adjustment are achieved through the built-in temperature sensor, and the accuracy of air permeability testing results of the sample at different temperatures is ensured.

The invention discloses a self-balancing multiphase self-shunting device and a control method, and belongs to the technical field of chemical separation. The device comprises an automatic split-phase tank (1), a pressure display A (2), a system pressure automatic controller (3), a light phase collecting tank (4), a liquid discharge valve A (5), a pressure display B (6), a material inlet (7), a light phase overflow port (8), a heavy phase extraction port (9), a split-phase internal component (10), a liquid discharge valve C (11), a heavy phase extraction automatic regulating valve (12), a heavy phase collecting tank (13) and the like. The device is simple in structure and control method, can be operated at normal pressure or under pressure, is high in operation elasticity, realizes self-balance of the liquid level height by utilizing the light phase overflow port (8), realizes rapid phase separation of light and heavy components by adopting a special structure of the phase separation inner component (10), forms a stable phase interface, is good in separation effect, and is suitable for industrial production. The method can be used for chemical unit operations such as extraction separation, reaction separation and rectification.

The invention discloses a target screening optimization algorithm during lane changing of an own vehicle, which comprises the following steps of: firstly, activating an ACC longitudinal control function of the own vehicle, acquiring own vehicle parameters, front target vehicle parameters, own lane parameters, left lane parameters and right lane parameters, and calculating a center line equation of the own lane, the left lane and the right lane; judging whether to change a lane or not and which lane changes to the left and right; when a lane to be switched is determined and entered, the current lane center line of the vehicle is calculated; when the vehicle just enters the lane to be switched, no lane change judgment is carried out within 3s; and after the vehicle enters the lane to be switched, no lane changing judgment is carried out within 3 seconds, and the lane changing work of the vehicle is completed. The target screening optimization algorithm for the self-vehicle during lane changing has the advantages that the selection of the vehicle following target is more reliable and effective, ACC control is smoother, and the safety and reliability of lane changing operation are improved.

The invention provides a rail train traction and brake control method and system, and the method comprises the steps: firstly monitoring the wheel rotation speed and motor torque of a rail train, inputting a state observer with pole configuration to estimate an adhesion coefficient in real time, and combining the creep speed at the current moment to obtain a traction and brake coefficient; calculating the stick-slip slope of the adhesion characteristic curve by using an adhesion coefficient-creep speed empirical formula; the method comprises the following steps: setting a target creep speed by adopting a steepest gradient method, inputting the target creep speed and a current creep speed into a neural network controller, outputting a rail train correction torque, combining the rail train correction torque with a current actual braking torque to obtain a target torque, and controlling a rail train motor through a DTC method so that the actual torque is consistent with the target torque. And the motor torque and the wheel speed are input into the state observer to form closed-loop control. The adhesion coefficient is estimated and optimized in real time through the control method, the train traction and braking efficiency is remarkably improved, and a safer and more efficient solution is provided for modern rail transit.

The invention discloses a device for assisting take-off and landing of an unmanned aerial vehicle in a special environment and a using method thereof, and relates to the technical field of unmanned aerial vehicle accessories, the device is characterized by comprising a receiving piece, a connecting rod and a supporting piece, and the connecting rod is connected with the receiving piece and the supporting piece; the receiving part comprises a fixing plate and a fixing assembly, the fixing plate is fixed to the end of the connecting plate, a sliding rail is arranged on the fixing plate, and the fixing assembly is fixed to the upper side of the fixing plate through the sliding rail; at least two groups of fixing assemblies are arranged; the supporting piece comprises a storage box and a base, the storage box is connected to the outer side of the connecting rod in a sleeving mode, and the base is fixed to the side portion of the storage box. The device for assisting take-off and landing of the unmanned aerial vehicle in the special environment is simple in structure, and take-off of the unmanned aerial vehicle is not restrained by the geographical environment; a cross cursor is arranged on the unmanned aerial vehicle body to provide positioning and prevent the device from touching blades of the unmanned aerial vehicle when landing at night, and an electromagnet is arranged on a protection equipment fixing plate, so that the unmanned aerial vehicle body and the electromagnet can be accurately butted in the landing process of the unmanned aerial vehicle.

The invention discloses a system and a method for continuous neutralization reaction and application of the system and the method, and belongs to the technical field of ethyl maltol production. According to the system, a neutralization kettle is additionally arranged on the basis of original process equipment, and automatic accurate control of pH and temperature is realized by interlocking an automatic temperature control and automatic pH adjusting device with a liquid caustic soda adjusting valve and a circulating water cooling valve. Compared with an original single-kettle process, the method has the advantages that automatic control is achieved, operability is high, production is convenient, control is more stable, alkali consumption can be reduced, the process wastewater amount can be reduced, and meanwhile the method plays an important role in improving the yield of the whole maltol product.

The invention relates to a magnetic suspension bearing control system and method and refrigeration equipment, and the system comprises a magnetic suspension bearing control module which is used for controlling a magnetic suspension bearing; the battery management module is electrically connected with the magnetic suspension bearing control module; and the master control module is respectively connected with the magnetic suspension bearing control module and the battery management module and can control the battery management module to store electric energy when the voltage of the magnetic suspension bearing control module is excessive and supply power to the magnetic suspension bearing control module when the power supply of the magnetic suspension bearing control module is insufficient. According to the technical scheme of the magnetic suspension bearing control system, through cooperative work of the battery management module and the master control module, the stability, the energy-saving performance and the response speed of the system are enhanced, the service life of equipment is effectively prolonged, and the maintenance cost is reduced. The integrated solution provides a safer, more reliable and more economical operating environment for high-performance and high-precision mechanical equipment.

The invention belongs to but is not limited to the technical field of alternating current motor and driving control, and discloses a series winding motor inverter open-circuit fault-tolerant topology and a control method thereof, when an inverter bridge arm has an open-circuit fault or the whole bridge arm is cut off due to a short-circuit fault, a corresponding bipolar diode is switched on, so that the fault tolerance of the inverter is realized. The fault-tolerant topology circuit reconstruction of the series winding motor is realized; and then reconstructing a corresponding voltage vector set, and switching a control algorithm of the series winding motor to realize fault-tolerant driving of the series winding motor without default phase. According to the invention, the residual healthy devices and the bus capacitor of the inverter are fully utilized, the open-phase-free operation of the inverter fault can be realized on the premise of not increasing the system cost and the volume, and the loading capacity of the inverter after the fault is improved. The fault-tolerant topology can also cope with fault-tolerant operation in different fault scenes, the fault-tolerant output performance of the series winding motor can be effectively improved, and stable control after fault-tolerant control is achieved through the fault-tolerant SVPWM and CBPWM modulation algorithms.

The invention relates to an electric vehicle speed control system and control method based on PID control, and solves the problems of slow vehicle speed adjustment, overshoot and the like of a current vehicle control system. Comprising a speed error input module, a PID controller and a torque output module. Comprising the following steps that 1, the current vehicle speed V1, the maximum vehicle speed V, the current motor rotating speed Spd1 and the motor torque T1 are obtained; 2, according to the current rotating speed Spd1 of the motor, the required torque T2 of the motor at the next moment is obtained; 3, a step-by-step PID regulator is set, the first-stage regulation limit value is M1, and the second-stage regulation limit value is M2; when V-V1gt; when M1 is greater than M1, the P value is increased to enable the vehicle speed V to approach the maximum vehicle speed V; when M2lt; v-V1lt, V-V1lt; when M1 is greater than M1, the P value is reduced, and the I value is increased to prevent system overshoot; 4, when the vehicle speed error is smaller than the second-level limit value M2, control is stopped so that the vehicle speed can be stabilized at the target speed; and 5, limiting the upper and lower limits of integration to avoid the problem of integration saturation. According to the invention, the vehicle speed can be controlled more accurately and stably.

The invention relates to a tree barrier pruning unmanned aerial vehicle which comprises an unmanned aerial vehicle body, a pruning mechanism and an unhooking mechanism, and the pruning mechanism is connected with the unmanned aerial vehicle body through the unhooking mechanism. Wherein the unhooking mechanism comprises a first mounting frame, a second mounting frame, a supporting frame and a driving assembly, the first mounting frame is connected with the unmanned aerial vehicle, and the second mounting frame is connected with the pruning mechanism. The supporting frame is movably connected with the first mounting frame, the supporting frame is provided with a supporting position and an avoiding position, and under the supporting position, the supporting frame supports the second mounting frame so that the second mounting frame can be locked to the first mounting frame; in the avoiding position, the supporting frame releases the second mounting frame so that the second mounting frame can be separated from the first mounting frame, and the driving assembly is used for driving the supporting frame to move between the supporting position and the avoiding position. According to the tree barrier pruning unmanned aerial vehicle, when the pruning mechanism and the tree barrier are wound and collided, the unmanned aerial vehicle can be separated from the pruning mechanism, so that the unmanned aerial vehicle and the tree barrier are prevented from being collided and damaged.

The present invention relates to the technical field of hydrogen production by electrolysis of water, and discloses a control method for a large-scale hydrogen production cluster by electrolysis of water for wind-solar coupling, including: predicting the total output power of a photovoltaic power generation system and a wind power generation system; if the actual hydrogen production of an electrolyzer cannot reach the expected hydrogen production within a set time, refitting the parameters through the production data of the electrolyzer, and obtaining multiple electrolyzer power allocation sets through a constrained optimization model; clustering the production data of the electrolyzer to obtain multiple state categories; selecting the best electrolyzer power allocation set through a clustering transfer model, and distributing it to each electrolyzer as the power of each electrolyzer at the next moment. When the present invention distributes power, it fully considers the characteristics of each electrolyzer, dynamically corrects the power online, makes full use of energy, and produces synergistically between electrolyzers, so that the hydrogen production can be maximized under the premise of ensuring the operating rate.

The application relates to the technical field of non-standard storage tanks, and proposes a precise temperature control non-standard storage tank structure and a construction method, wherein the precise temperature control non-standard storage tank structure comprises a storage tank body, fixing cylinders, a material uniformizing assembly, a mounting frame, a stirring assembly, a storage tank, a heat tracing half pipe, a heating assembly and a heat exchange assembly, three fixing cylinders are fixedly installed on the storage tank body at equal angles, the included angles between the three fixing cylinders and the axis of the storage tank body are all 45 degrees, the material uniformizing assembly is installed in the fixing cylinders, the mounting frame is fixedly installed at the bottom of the storage tank body, the stirring assembly is installed on the mounting frame, the storage tank is fixedly installed on the storage tank body, the heat tracing half pipe is fixedly installed in the storage tank body, the heating assembly is installed in the storage tank, and the heat exchange assembly is installed on the storage tank, so that the problem that the substances in the storage tank are difficult to be accurately temperature controlled due to the non-uniform temperature of different areas in the storage tank in the prior art is solved.

The present invention provides an automatic adaptive control system for flow of an electronic belt scale, comprising: an inlet material belt conveyor, an electronic belt scale and an outlet material belt conveyor; the inlet material belt conveyor conveys front-end processed materials to the electronic belt scale, and transmits them to the rear-end outlet material belt conveyor after weighing and metering; wherein the electronic belt scale comprises a scale body belt, a control system, a belt drive motor and a belt speed sensor, the belt drive motor drives the scale body belt under the control of the control system, and the belt speed sensor detects the real-time speed of the scale body belt; the controller adjusts the control of the belt drive motor according to the comparison result of the real-time speed of the scale body belt detected by the belt speed sensor and the preset reference belt speed control value, so as to change the driving of the scale body belt by the belt drive motor.