86results about How to "Achieving Adaptive Control" patented technology

The invention discloses a cloud edge cooperative control method, which comprises the following steps: establishing a cloud edge cooperative architecture, collecting data by edge nodes, and selecting a corresponding data compression strategy to compress the data; generating an edge-cloud collaborative uploading data stream; the cooperative control layer executes adaptive load balancing based on a cloud-side node state, task characteristics and a network condition which are monitored in real time so as to realize task allocation and scheduling between the cloud and the side; the cloud receives the data stream transmitted by the edge node, decompresses and processes the compressed data according to the metadata information, completes the task and feeds back an execution result; a node performance prediction model is constructed by using system state monitoring information, a task allocation strategy and a resource allocation and data compression strategy are adjusted in real time according to a prediction result, and cloud-side collaborative optimization is realized. Efficient data transmission, flexible task scheduling and self-adaptive resource management are realized, and the performance of the system in a complex and changeable environment is comprehensively improved.

The invention relates to a temperature control intelligent optimization method and system for adhesive tape production. The method comprises the following steps that S1, production data in the drying process are collected through a multi-mode sensor; s2, constructing a state prediction model based on GNN and LSTM, inputting the collected production data into the prediction model, and dynamically predicting the state of each temperature control area; s3, modeling each temperature control area into an intelligent agent based on the predicted state between the temperature control areas, and realizing dynamic distribution of heat resources of each heating interval by training a cooperative control strategy between the intelligent agents; s4, a fuzzy control optimization scheme incorporating environment compensation: for short-term changes of environment temperature and humidity, dynamically adjusting temperature zone gradient distribution between drying sections by using fuzzy control, and optimizing energy efficiency; and S5, the temperature control module adjusts the temperature and the wind speed of the temperature control area in real time according to the optimization schemes obtained in the steps S3 and S4. The intelligent level of the temperature control system in the adhesive tape production drying process is comprehensively improved.

The invention relates to the technical field of polaroid performance optimization, and discloses a performance optimization design method and system for a multi-layer composite polaroid, and the method comprises the steps: carrying out the polarization spectrum analysis of a use environment of a display screen, obtaining incident polarization spectrum data, and calculating the initial stretch ratio data of each polarization layer; measuring to obtain molecular orientation degree data and polarization performance data of each polarization layer; performing feature extraction and fusion to obtain a fusion feature vector of each polarization layer; calculating the influence of the molecular orientation degree change of each polarized light layer on the optical performance of different polarization states to obtain the importance weight of the polarization state of each polarized light layer; reinforcement learning optimization is carried out, and a stretch ratio adjustment strategy of each polarization layer is generated; according to the technical scheme, multi-objective optimization and sequential quadratic programming are carried out on the processing parameters of each polarizing layer, and the stretching temperature and speed control sequence of each polarizing layer is generated, so that the precise control of the stretching temperature and speed is realized, and the performance index and the production efficiency of the polaroid are improved.

The invention discloses a stamping production process self-adaptive control method, a stamping production line and a program product, and relates to the technical field of stamping machining. The method comprises the steps that stamping production data collected by a data collection unit are received, and the stamping production data comprise one or more of drawing inflow, die surface temperature, lubricating oil amount, closing height, blank holder force, forming force and material performance parameters; determining a quality performance prediction condition of the product based on the stamping production data; determining to-be-optimized data from the stamping production data according to the quality performance prediction condition; stamping process optimization parameters are determined according to the to-be-optimized data; and the stamping process optimization parameters are sent to a stamping controller of the stamping equipment, so that the stamping controller adjusts the stamping action of the stamping equipment according to the stamping process optimization parameters. Intelligent and automatic management of the stamping production line can be achieved, the production efficiency is improved, and the defective rate is reduced.

The invention provides a bridge built-in multi-dimensional self-adaptive tuning vibration reduction and monitoring device based on air energy. The bridge built-in multi-dimensional self-adaptive tuning vibration reduction and monitoring device mainly comprises a bridge health monitoring system, an air energy device, a steel plate spring, a belleville spring, an electromagnetic damper, a hydraulic damper, a hydraulic displacement amplification mechanism and an actuator. The bridge health monitoring system is used for monitoring and analyzing the state of a bridge in real time, finding potential structural problems in time and driving the tuning vibration reduction device to respond according to the monitored vibration and temperature conditions to achieve self-adaptive control over bridge vibration, and the air energy device uses the quality characteristic of the air energy device as a mass block of the tuning vibration reduction device to achieve self-adaptive control over bridge vibration. The damping device plays a key role in vibration reduction, can provide temperature and humidity control for stable operation of a bridge and a monitoring system, and is matched with a spring, a damping system, a hydraulic displacement amplifying mechanism and an actuator to effectively control multi-directional complex vibration of the bridge, adjust the temperature difference between the inside and the outside of the bridge and prolong the service life of the bridge.

The invention discloses an inner draught fan control method and device, equipment, a medium and a computer program product, and relates to the technical field of inner draught fans, and the inner draught fan control method comprises the steps that a historical reward value obtained after an inner draught fan executes a first state adjustment action of the last time step is obtained; the first state adjustment action is an action determined based on an empirical value in a previous preset empirical value table; on the basis of the historical reward value and the environment state of the inner fan in the current time step, an empirical value in a previous preset empirical value table is updated; and based on a target empirical value corresponding to the environment state of the current time step in the updated current preset empirical value table, controlling the inner fan to execute a second state adjustment action of the current time step so as to adjust the current state parameter value of the inner fan to a target state parameter value corresponding to the target empirical value. By introducing reinforcement learning, the inner fan can continuously interact with the environment and accumulate experience, so that the optimal control scheme under different working conditions is learned, and the self-adaptive control of the state of the inner fan is realized.

The invention provides a multi-modal data fusion method and system based on artificial intelligence, and relates to the field of data fusion, and the method comprises the steps: firstly collecting a crop growth state image, a crop plant body infrared image and a soil humidity value; a data processing and image analysis algorithm based on artificial intelligence and deep learning is introduced at the rear end to analyze the acquired data, so that crop water supply cross-modal time sequence joint coding features are described by using implicit association between crop plant body water distribution features and soil humidity time sequence features; and finally, decoding is carried out to carry out optimization control on the crop irrigation volume, more intelligent crop irrigation volume adaptive control can be realized by combining artificial intelligence and deep learning technologies with multi-modal data analysis, the problems caused by a traditional irrigation mode are avoided, and a scientific basis is provided for irrigation decision making.

The invention relates to a coaxial reverse rotation gear set type inerter damping negative stiffness ternary resonance unit and super foundation, a driving outer cylinder is sleeved on a screw rod, a nut and a driving gear are sleeved on the screw rod, the driving gear is fixedly connected with the nut, the driving gear is meshed with a first reverse rotation gear and a second reverse rotation gear, and the first reverse rotation gear and the second reverse rotation gear are meshed with each other. The center shaft is sleeved with the second reverse rotation gear through a second rotating cylinder and fixedly sleeved with the second reverse rotation gear, the center shaft is sleeved with the first reverse rotation gear through a first rotating cylinder and fixedly sleeved with the first rotating cylinder, the first rotating cylinder and the second rotating cylinder are arranged in an inner-outer sleeving mode, and the center shaft is fixedly connected with the base. The first inertia disc is fixedly connected with the first rotating cylinder, the second inertia disc is fixedly connected with the second rotating cylinder, and electrified coils are arranged between the first inertia disc and the second inertia disc, are arranged in pairs and are fixedly connected with the inertia discs. Compared with the prior art, flexible adjustment of structural rigidity, absorption and dissipation of vibration energy and maximum utilization of energy consumption and efficiency improvement are achieved.

The invention relates to a heading machine load self-adaptive control method and system, and the method comprises the steps: a data analysis module is disposed on a heading machine equipment layer, collects the heading data of the heading machine equipment layer in real time, and calculates a load coefficient for self-adaptive adjustment; and the control module is connected with the data analysis module and the heading machine equipment layer, and analyzes the accessed load coefficient into a control signal for adjusting rotation and lifting of a cutting arm in the heading machine equipment layer. The method comprises the following steps: determining a motion trail model of a cutting operation surface of a heading machine equipment layer by acquiring perception data of a manual cutting section, determining a load coefficient generated by the motion trail model according to the state change of the cutting operation surface in the cutting process, and adjusting rotation and lifting of a cutting arm in the heading machine equipment layer based on the load coefficient. The self-adaptive control of the equipment layer of the heading machine is realized, the accuracy and the stability of on-line identification of the heading working face are greatly improved, the equipment failure rate and the safety risk of operation are reduced to the greatest extent, and the method has wide applicability.

The invention relates to the technical field of intelligent traffic, in particular to an intelligent vehicle lamp system and a control method thereof.Optical sensing equipment is used for collecting environment information around a vehicle, a pre-projection image is determined according to the environment information, optimal projection parameters are calculated according to the reflectivity and flatness of a projection plane, and the parameters are sent to a light module; projecting according to the calculated focal length and angle parameters; and adaptively adjusting the frequency of detecting the environment information by the optical sensing equipment by using a cyclic decision detection algorithm to realize adaptive control on different roads, weather and vehicle states. According to the method, the light brightness can be automatically adjusted, unreasonable projection areas can be avoided, safety prompt projection is carried out according to road conditions, the accuracy and safety of vehicle illumination are improved, and the risk of traffic accidents is reduced.

The invention relates to the technical field of intelligent vehicle lamps, and particularly provides an intelligent vehicle lamp control method based on color avoidance and depth correction, and the method comprises the steps: determining a corresponding heterochromatic region on a pre-projection image according to the color deviation tensor of a projection plane and a global color fitting plane, and controlling a vehicle lamp to carry out the color avoidance projection of the heterochromatic region, according to the depth difference tensor of the projection plane and the ideal depth plane, determining a corresponding depth change area on the pre-projection image, and controlling the vehicle lamp to change the projection size to realize depth correction, so as to ensure that the finally projected image is not interfered by the color of the actual road surface; and discontinuous and unclear projection images in the visual field of the driver due to road surface potholes are avoided. According to the invention, the light brightness and the local projection size of the vehicle lamp can be adjusted according to the collected information, so that the projection of the vehicle lamp is not interfered by the road surface color and the road surface unevenness.

The invention provides a driving method, a driving circuit of an amplification module and electronic equipment. The method comprises the following steps: when a power tube is conducted, outputting a first conduction current to a grid electrode of the power tube; after the gate-source voltage of the power tube rises to the threshold voltage, the first conduction current is reduced to the second conduction current, so that the reverse recovery current of the body diode corresponding to the power tube is reduced; after the gate-source voltage of the power tube is increased from the threshold voltage to the Miller voltage, the second conduction current is increased to third conduction current until the power tube is completely conducted; and when the power tube is turned off, the grid electrode of the power tube outputs a first turn-off current until the power tube is completely turned off. In the conduction process of the power tube, after the gate source voltage of the power tube rises to the threshold voltage, the first conduction current is reduced to the second conduction current, so that the reverse recovery current of a body diode corresponding to the power tube is reduced, overshoot of the power tube in the conduction process is avoided, and the conduction safety of the power tube is improved.

The invention provides a temperature control method and device of a temperature control system, computer equipment and a medium, and relates to the technical field of automatic control, and the method comprises the following steps: connecting a lubricating oil temperature control system with an oil supply path and an oil return path of a rotor tester lubricating oil system, and changing a heating mode of the rotor tester lubricating oil system; the incidence relation between the characteristic coefficient QS and the oil supply temperature is determined, and a coefficient library of the characteristic coefficient QS is constructed according to the oil supply temperature and the incidence relation of the moment interval of the preset duration in each temperature gradient interval; calculating to obtain a characteristic coefficient QS of the current time interval, and calculating to obtain a proportionality coefficient K according to a coefficient library of the characteristic coefficient QS and the characteristic coefficient QS of the current time interval; and automatically correcting a PID parameter of a PID algorithm in the lubricating oil temperature control system through the proportionality coefficient K, and automatically controlling the lubricating oil temperature based on the PID parameter. According to the scheme, the temperature of the lubricating oil is adaptively controlled through the temperature control system, and the heating efficiency and control precision of the lubricating oil temperature are improved.

The invention provides a moss growth-based virtual inertia and damping control method for a grid-forming fan, and the method comprises the steps: determining a frequency deviation value based on the power grid real-time frequency of a power grid system where the grid-forming fan is located and a preset frequency reference value, and determining a frequency change rate based on the power grid real-time frequency; inputting the frequency deviation value, the frequency change rate, a preset virtual inertia initial value and a virtual damping initial value into a network controller pre-constructed based on moss growth; determining a target damping coefficient, a target virtual rotational inertia coefficient and a target proportionality coefficient of a power tracking curve of the power grid system based on a network controller; based on the target proportionality coefficient, determining a first reference value of active power input of the grid-forming type fan and a second reference value of active power input of an energy storage system in the power grid system; and based on the first reference value, the second reference value, the target damping coefficient and the target virtual rotational inertia coefficient, the virtual inertia and damping of the net-forming type fan are controlled, and dynamic adjustment of the inertia and the damping coefficient is achieved.

The invention relates to the technical field of robot control, and discloses a variable load balance control method, a balance control system and an experiment platform of a double-wheel-foot robot, and the method comprises the steps: building a simulation physical environment of the double-wheel-foot robot through a reinforcement learning experiment simulation platform; in a reinforcement learning experiment simulation platform, a reinforcement learning algorithm double-wheel-foot type robot variable load balance controller is used; a variable load balance controller is migrated and deployed to a real balance control system of the double-wheel-foot robot, and stable balance control in a real environment is realized in a double-wheel-foot robot experiment platform. By means of the method, the generation process of the control algorithm of the double-wheel-legged robot is simplified, the problem of real machine migration deployment is solved, and the reliability and maintainability of the system are improved. And meanwhile, the anti-interference capability and the stability of the double-wheel-foot type robot during variable load balance control are improved, and self-adaptive control of balance is achieved.

The utility model discloses a self-adaptive flow control titanium alloy gate valve, which belongs to the technical field of gate valves, and comprises a valve body, two sides of the valve body are communicated with a connecting pipe, the upper surface of the valve body is movably connected with a valve cover, one end of the connecting pipe is provided with a filtering mechanism, and the other end of the connecting pipe is provided with a valve rod. A control mechanism is arranged in an inner cavity of the valve body, impurities in water flow are filtered through a filter screen, it is avoided that due to the fact that sand in the water flow moves and deposits on a sensitive element of a sensor, holes of the sensor are blocked, sensing precision is reduced, and meanwhile it is avoided that due to the fact that the sand continuously impacts the valve plate under the action of the water flow, surface abrasion of the valve plate is aggravated; and the filter screen can drive a limiting block to rotate to an opening of a limiting groove through manual rotation, at the moment, the filter screen can be taken down when the filter screen loses fixed limiting, and an operator can conveniently clean and replace the filter screen.

A method and device for adaptive control of electromagnetic pulse air valves of road sweepers. When the pressure value of the gas tank reaches the set pressure, the method sequentially controls the first pulse air valve and the second pulse air valve in each group of pulse air valves to blow air according to the first set time and the second set time, respectively, to complete the first round of air blowing control; when the pressure value of the gas tank reaches the set pressure, the method sequentially controls the second pulse air valve and the first pulse air valve in each group of pulse air valves to blow air according to the second set time and the first set time, respectively, to complete the second round of air blowing control; the first round of air blowing control and the second round of air blowing control are used as a blowing control cycle for cycle control to achieve adaptive control of pulse air valves. The present invention uses the method of cross-patrol of pulse air valves to consume gas from the gas tank to achieve balanced dust removal after multiple pulse air valves have completed a cycle, thereby avoiding local severe pollution of dust removal filters and filter clogging.

The invention relates to the technical field of water saving, and provides a self-adaptive control method and system for an electric flow regulating valve, and the method comprises the steps: collecting the opening degree of the flow regulating valve in a heat supply secondary pipe network and different types of pipe network data of different monitoring points, and matching the flow regulating valve with the monitoring points; determining the interference fluctuation possibility of the monitoring points at the acquisition moment, and determining to-be-identified moments of all the monitoring points; determining an abnormal transmission chain of a real heat supply demand, a to-be-regulated degree of a flow regulating valve at the real heat supply demand, and a pipe network regulation influence degree at a to-be-identified moment; and determining an adjustment coefficient of the to-be-identified moment, and realizing opening control of the flow control valve by combining the opening of the flow control valve at the to-be-identified moment and all similar acquisition moments. According to the invention, self-adaptive control of the opening of the flow regulating valve can be realized.

The embodiment of the application provides a control method and device of a rod wire loop device and a storage medium, the control method comprises the following steps: determining a loop starting time of the loop device according to a rolling piece running speed of a target rolling piece and a downstream rack biting time; determining a real-time loop height value according to the loop starting time, a loop starting initial height, a steady-state target loop height and a ramp rising time, and controlling the loop device to start the loop according to the real-time loop height value; acquiring a real loop height value of the loop device, and correcting an upstream rack running speed according to the real loop height value and the real-time loop height value; and when a tail of the rolling piece leaves the upstream rack, the loop device is controlled to fall back according to a tail loop closing target height. The method realizes adaptive control of the rod wire loop.

The application provides a cooling tower constant pressure PID adaptive control method and system based on process monitoring, and relates to the technical field of PID control.The method comprises the following steps: decoupling a working condition characteristic index group and a deviation feedback index group; constructing an operating condition vector and matching an initial operating scene group; calling a historical state transition chain, performing scene membership probability correction based on scene state transition prediction, and outputting a real-time operating scene; performing disturbance-free smooth coarse adjustment of the cooling tower constant pressure control; executing fine-grained PID fine adjustment of the cooling tower constant pressure; and performing scene switching analysis under incremental monitoring until the operating scene is changed, triggering fine-grained PID fine adjustment under disturbance-free smooth coarse adjustment. The application solves the technical problem that the prior art usually performs control parameter setting based on single or low-dimensional characteristics, cannot accurately identify the current operating condition category, and thus leads to PID parameter update lag and difficulty in timely matching the actual system dynamic characteristics when the operating condition rapidly changes.

The application provides a baseband radio frequency signal data feedback processing method based on vector modulation, which first receives a baseband signal data set transmitted by a target radio frequency link in a preset frequency band, which contains multiple signal frame original modulation parameters and corresponding radio frequency feedback signal waveforms, then calculates feedback error indicators composed of phase offset, amplitude distortion and spectral leakage factor according to the radio frequency feedback signal waveforms, quantizes the modulation error, analyzes the feedback signal waveforms in the time-frequency domain, extracts error feature vectors, inputs the pre-trained model for cross-frame correlation learning, generates a dynamic adjustment parameter sequence containing time sequence dependence, and finally constructs a closed-loop feedback control link based on the dynamic adjustment parameter sequence and the original modulation parameters, so as to realize accurate processing and optimized control of the baseband radio frequency signal and effectively improve the signal transmission performance.

The invention discloses a vacuum extrusion device for preparing titanium and titanium alloy, relates to the technical field of titanium and titanium alloy preparation, and aims at solving the problems that an existing device is prone to sealing failure, not thorough in cleaning and low in temperature control precision. The device comprises a vacuum chamber, an extrusion rod, an air passage system, an air source distributor, a temperature monitoring module and an external control module. The working section of the extrusion rod is provided with three sections of spiral grooves, and precise coupling of dynamic sealing, self-cleaning and temperature field regulation and control is achieved through cooperation of an air channel system and multiple air channels. The first section of main sealing spiral groove forms a high-pressure air curtain, the second section of temperature control spiral groove adjusts the temperature in a self-adaptive mode through a shape memory alloy ring, and the third section of cleaning spiral groove conducts deep cleaning through the reverse suction effect. And the external control module adaptively regulates and controls each gas path according to temperature and impurity concentration monitoring data, so that the structure is simplified, the efficiency is improved, the product quality stability is guaranteed, and the batch production requirements of high-quality titanium and titanium alloy are met.

The present invention belongs to the field of flight control law design, and is specifically a control method for converting a horizontal mode of a vertical take-off and landing unmanned aerial vehicle to a vertical mode, comprising an elevator control law and an engine throttle control law. The elevator control law is: during the mode conversion process, the elevator always maintains a maximum deflection angle, and the unmanned aerial vehicle is raised with the maximum control capability of the slipstream rudder or the vector nozzle. When the attitude of the unmanned aerial vehicle is close to a vertical state, the elevator control law becomes an attitude closed-loop control; the engine throttle control law is: the pitch angular velocity is introduced into the engine throttle control law, and the engine throttle command is calculated by the numerical value of the pitch angular velocity. While ensuring that the aircraft has sufficient control efficiency, the engine throttle is reduced as much as possible, thereby reducing the increase in the height of the unmanned aerial vehicle during the mode conversion process. While ensuring that the aircraft has sufficient control efficiency, the engine throttle is reduced as much as possible, thereby reducing the increase in the height of the unmanned aerial vehicle during the mode conversion process.

The invention provides a method and device for controlling the threshing feeding depth of a harvester, and the method comprises the steps: obtaining switching signals of a stem side switch and a spike side switch of the harvester when the harvester meets a preset condition; and adjusting the position of a crop conveying chain of the current harvester based on the switching signal. According to the technical scheme, self-adaptive control over the threshing feeding depth of the harvester is achieved, the working efficiency and the threshing quality are remarkably improved, the operation safety is enhanced, the workload of a driver is greatly relieved, and it is ensured that the harvester stably and efficiently runs in the complex working environment.

The invention discloses a photovoltaic module and a photovoltaic power grid utilization rate improving system, and relates to the technical field of photovoltaic equipment, the photovoltaic module and the photovoltaic power grid utilization rate improving system comprise a reflective bottom plate parallel to the ground and a reflective side plate perpendicular to the reflective bottom plate, and the reflective side plate is connected with a plurality of parallel thin film double-sided photovoltaic plates through memory alloy plates. Each thin-film double-sided photovoltaic panel is respectively perpendicular to the reflective bottom plate and the reflective side plate, each memory alloy plate comprises two memory alloy sheets which are riveted into a whole, two sides of each thin-film double-sided photovoltaic panel are respectively connected with one memory alloy sheet, a plurality of sliding seats are connected onto the reflective side plate in a sliding manner, and each sliding seat is respectively and rotatably connected with a rotating strip. According to the invention, the structural arrangement of the photovoltaic module is changed, and the power generation capacity is improved and reduced at noon, so that the consistency of the photovoltaic power generation curve of the photovoltaic module and the power grid demand is improved from the source, the power quality of photovoltaic power generation and the safety of accessing the power grid are greatly improved, and the photovoltaic grid price and the power grid utilization efficiency are greatly improved.

The invention discloses a gesture-based clothes airing machine control method and system, a medium and equipment, the method is applied to a clothes airing machine provided with an image acquisition unit, and the method comprises the following steps: acquiring image information acquired by the image acquisition unit; detecting whether face information exists according to the image information; if the face information exists in the image information, extracting a target gesture from the image information; identifying the extracted target gesture, and determining a gesture action; and controlling the clothes airing machine to execute a corresponding function according to the determined gesture action. According to the method, the clothes airing machine is controlled through the gesture action, specifically, gesture recognition is started under the condition that the face information is detected, the situation that a user who enters the airing induction area and does not have control consciousness triggers the clothes airing machine by mistake due to the coincident gesture action can be avoided, the recognition accuracy of the clothes airing machine is effectively improved, and the user experience is improved. And the situation of false triggering is avoided.

The invention relates to the technical field of artificial intelligence and fan coils, and discloses a fan coil control system combined with a multi-position control valve, the multi-position control valve is arranged on a water inlet loop and in front of a fan coil, and the multi-position control valve is connected with the fan coil in series. The multi-position control valve, the fan coil, the equipment state acquisition module and the indoor state acquisition module are all in signal connection with the micro-control unit MCU, and the micro-control unit MCU is in signal connection with the reinforcement learning controller through a network. The invention further provides a method for conducting fan coil control through the fan coil control system combined with the multi-position control valve. According to the method, through multi-valve-position control based on deep learning, cooling capacity output of the fan coil has diversity, the method better adapts to load changes, and great fluctuation of the room temperature is reduced.

This invention discloses a production control method and system for Polygonatum odoratum instant powder, specifically relating to the field of production control technology. It involves acquiring real-time quality detection data of Polygonatum odoratum raw material batches, analyzing the component structure characteristics and quality fluctuation characteristics of each batch to generate quality assessment data; based on the quality assessment data, selecting candidate process routes from a process route library that match the raw material quality characteristics and calculating the product yield prediction data corresponding to the candidate process routes; based on the quality assessment data, comprehensively evaluating the active ingredient retention level and instant solubility performance indicators under the candidate process routes to generate process performance assessment data; fusing and analyzing the product yield prediction data and process performance assessment data to form optimal process route decision data; and dynamically switching the process parameter configuration of the production line according to the optimal process route decision data to achieve continuous production process control. This invention can effectively improve the batch stability of Polygonatum odoratum instant powder products.

The present invention provides a quantitative powder shaking device of a powder shaking machine and a powder shaking method thereof, wherein the device includes: a powder storage box, a feed roller support seat, a reducer, a buffer plate, a feed roller, a feed plate, a thermal transfer film, a thermal transfer film adjustment roller, a shaking plate, a waste powder box, an adjusting cylinder and a shaking motor; the feed roller support seat and the reducer are respectively connected to the feed roller, and the powder in the powder storage box is sequentially scattered on the thermal transfer film after passing through the feed roller, the feed plate and the buffer plate; the adjusting cylinder, the waste powder box and the thermal transfer film adjustment roller are sequentially connected, and the shaking plate and the shaking motor are connected. The present invention can adjust the amount of powder to be sprinkled, realize adaptive control of different patterns, and can adjust the angle of the thermal transfer film to realize different powder shaking effects; in addition, the present invention can also automatically predict when the amount of powder in the powder storage box is insufficient, ensure the continuity of production, and improve production efficiency.

This application discloses a method, system, device, and medium for displaying map content, relating to technical fields such as map applications. The method for displaying map content includes: acquiring basic urban information and urban landmark information; constructing an urban landmark database based on the basic urban information and urban landmark information; determining the number of urban landmarks and landmark display priority data based on the urban landmark database; determining landmark display parameters based on the number of urban landmarks and landmark display priority data; and displaying the landmarks on an electronic map based on the landmark display parameters.