284results about How to "Realize dynamic adjustment" patented technology

The invention relates to the technical field of information processing, in particular to an electronic information dynamic scheduling and management system and method, and the system comprises a data flow dynamic monitoring module, a dynamic window adjustment module, a data distribution module and an instruction flow recombination module. According to the invention, the adaptability and flexibility of data processing are improved by monitoring the data flow in the electronic information in real time and carefully analyzing the size and type change, and the dynamic adjustment of the data processing window is realized by identifying the peak value and valley value of the flow and analyzing the flow fluctuation amplitude. By analyzing the dependency relationship and potential delay between execution instructions and re-arranging the instruction execution sequence, the system can more effectively distribute the load of a processor core, reduce the delay and enhance the processing speed, thereby not only optimizing the management of electronic information flow, but also enhancing the adaptive capacity of the system to a complex data environment, and improving the user experience. And a more efficient and safer information processing platform is provided.

The invention provides a resource adjustment method and device for edge computing nodes, equipment and a medium, and belongs to the technical field of computers.The method comprises the steps that the use condition and service scene data of target resources associated with all the edge computing nodes are monitored, the target resource comprises at least one of a central processing unit (CPU), a memory and a network bandwidth; according to the monitored data, a target scheduling strategy is selected from a pre-established scheduling strategy library, and the scheduling strategy library comprises resource scheduling strategies for different service scenes and resource use conditions; and according to the target scheduling strategy and the current use condition of the target resource by each edge computing node, adjusting the resource currently allocated to each edge computing node.

The invention discloses an image generation method and system based on diffusion model adaptive reasoning. The method comprises the following steps: constructing a next noise intensity prediction module TPM; improving an original diffusion model, and adding a TPM; the improved diffusion model is trained by using a reinforcement learning method, the whole denoising process is expanded for multiple times, the next time step is predicted in each iteration, an award is calculated according to the quality of a finally generated image and the number of steps, and TPM parameters are updated by using a PPO loss function; in the actual reasoning process, noise is randomly sampled from Gaussian noise and input into the trained diffusion model, the diffusion model is used for predicting a denoising result, meanwhile, the TPM is used for outputting distribution of time steps based on next denoising, and a distribution mode is used as the next time step used in actual reasoning; and when the predicted time step is smaller than a set threshold value, a final image generation result is obtained based on model output. According to the method, the image generation process can be dynamically adjusted, and a reasoning result with both efficiency and quality is realized.

The invention belongs to the technical field of shock insulation supports, and particularly relates to a composite thick laminated rubber shock insulation support with self-adaptive damping, a shock insulation method of the composite thick laminated rubber shock insulation support and an intelligent fluid preparation method. According to the technical scheme, the composite thick laminated rubber shock insulation support with the self-adaptive damping function comprises an upper connecting steel plate and a lower connecting steel plate, a steel plate layer, a rubber layer, a pressure sensing layer and a sensor network layer are arranged between the upper connecting steel plate and the lower connecting steel plate, and a plurality of fluid cavities communicated through pipelines are formed in the rubber layer; the pressure sensing layer is provided with an electromagnetic coil, a piezoelectric driving unit and a valve body, the valve body is connected with the fluid cavity through a guide pipe, the electromagnetic coil is arranged on the valve body in a sleeving mode, and the electromagnetic coil and the valve body are electrically connected with the piezoelectric driving unit. The invention provides a composite thick laminated rubber shock insulation support with self-adaptive damping, a shock insulation method of the composite thick laminated rubber shock insulation support and an intelligent fluid preparation method, and the composite thick laminated rubber shock insulation support has intelligent sensing and self-adaptive adjusting functions and can keep long-term stability.

The invention discloses a calibration and error correction method and system based on a stereoscopic vision measurement system, and relates to the technical field of measurement system optimization, and the method comprises the steps: carrying out the scanning of an object with a standard size, and collecting data points; calculating an error between a measured length and an actual length for each data point, calculating an average value and a standard deviation of all measured values, and excluding the measured values exceeding the errors; and calculating a calibration coefficient and offset to obtain corrected side length data, and dynamically adjusting the calibration coefficient and the offset. Through detailed algorithm steps and a closed-loop feedback control mechanism, the machine measurement system can realize automatic data collection, real-time error analysis and dynamic adjustment of calibration parameters. Therefore, the accuracy and the stability of measurement are improved, and the high efficiency and the reliability of the system in long-term operation are ensured. Through regular calibration and real-time error correction, the algorithms can significantly improve the overall performance of the measurement system.

The invention provides an external damage monitoring and early warning method and system for a 10KV cable, and belongs to the technical field of abnormity monitoring, and the method specifically comprises the steps: determining the construction external damage risks of different burying regions and risk regions in the burying regions based on the matching conditions with the working data of different types of heavy mechanical equipment; and obtaining distribution data of the risk area, determining a monitoring and early warning strategy of the risk area in combination with construction external damage risks of different risk areas, and obtaining real-time ground vibration data of the risk area at a monitoring frequency corresponding to the monitoring and early warning strategy. And whether an early warning signal is sent out is determined according to an analysis result of the real-time ground vibration data and a monitoring early warning strategy, so that the safety and the reliability of cable operation are ensured.

The invention relates to the technical field of water conservancy data monitoring and early warning, and discloses a water conservancy monitoring data dynamic early warning method and system, electronic equipment and a storage medium, and the method comprises the steps: collecting water level data and rainfall data of a reservoir or a river channel in real time, and calculating a sliding window difference value of the water level and the rainfall; setting a basic early warning threshold value of the water level according to the sliding window difference value; according to a flood season and a non-flood season, combining historical data and water level data and rainfall data which are acquired in real time, and dynamically adjusting an early warning threshold value by adopting a regression algorithm model based on a support vector machine; and performing fuzzification processing on the water level data and the rainfall data which are acquired in real time and the adjusted water level height early warning threshold, making a decision according to a fuzzy rule, and judging the type of released early warning. By introducing the decision algorithm based on the regression algorithm model and the fuzzy logic, the dynamic adjustment of the early warning threshold and the intelligence of the early warning decision are realized, the accuracy and adaptability of the early warning system are improved, and the false alarm and missing alarm conditions are reduced.

The invention provides a project permission management method and device and a program product. The method comprises the steps of obtaining user behavior characteristics of a target user, task characteristics of a target task and permission state characteristics related to the target user and the target task; and according to the user behavior characteristics, the task characteristics of the target task, and the permission state characteristics related to the target user and the target task, using a permission configuration model to output the optimal permission configuration of the target user in the target task and the confidence of the optimal permission configuration, the permission configuration comprises configuration of read-write permission, data access permission and / or model operation permission; the permission configuration model is trained by using a preset machine learning algorithm in advance. By means of the technical scheme, dynamic adjustment of authority management is achieved based on machine learning, and the efficiency and flexibility of project authority management are improved.

The invention discloses an image-text question answering method and system based on multi-modal alignment, electronic equipment and a medium, and the method comprises the steps: obtaining a scene image and a question text corresponding to a current dialogue round in response to a dialogue instruction, and determining an initial weight corresponding to the scene image; obtaining a historical image feature set and a historical text feature set of a preset multi-modal feature alignment model; inputting the scene image and the question text into a feature extraction module for feature extraction, and outputting image features and text features; combining the image features and the initial weights into a historical image feature set to obtain an image coding set, and combining the text features into a historical text feature set to obtain a dialogue coding set; performing semantic alignment on the image coding set and the dialogue coding set through a weight matching module; and generating a reply text according to the target image coding features after semantic alignment. In the embodiment of the invention, the image features and the text data can be effectively combined to generate accurate answers.

The invention discloses a block storage caching method, device and equipment and a storage medium, relates to the technical field of data processing, is applied to a server, and comprises the steps of monitoring real-time performance data of a block storage caching system through a user mode program constructed based on an extended Berkley packet filter when the block storage caching system is used for processing input and output requests; the block storage cache system is a system which is constructed in advance based on a machine learning algorithm and contains configuration parameters; according to the real-time performance data, parameters representing the processing sequence of the input and output requests are calculated, and parameter values are obtained; and based on the parameter value, adjusting a configuration parameter of the block storage cache system through the file system interface so as to process the input / output request by utilizing the adjusted block storage cache system. Thus, in the process that the block storage cache system processes the input and output requests, the related configuration parameters can be dynamically adjusted according to the real-time performance data, and the requirements of multiple service scenes can be met.

The invention provides a wooden door three-dimensional model parameterization design and numerical control code generation method and system, and relates to the technical field of woodworking numerical control machining and computer vision. A multispectral imaging technology is adopted at a raw material feeding station to obtain a wood board surface multiband image, and a high-definition wood characteristic spectrum is generated through algorithm processing; establishing a mapping rule base of the atlas and numerical control parameters in combination with historical data; the map and the three-dimensional embossment model are superposed, and a tool path and cutting parameters are adaptively adjusted according to texture features to avoid defects and optimize along grains; and finally, numerical control codes matched with wood characteristics are generated, the rotating speed of the main shaft is adjusted according to the hardness, a numerical control machine tool is driven to complete high-precision wooden door machining, and precise numerical control machining based on wood surface characteristic intelligent recognition and self-adaptive adjustment can be achieved.

The utility model discloses a low-altitude aircraft which comprises an aircraft body, four fixed machine arm rods are arranged in the cross direction of the aircraft body, the surfaces of the fixed machine arm rods are movably connected with movable machine arm rods, one sides of the movable machine arm rods are provided with locking pieces, and the other sides of the movable machine arm rods are connected with the locking pieces. The locking piece comprises fixing frames fixed to the top and the bottom of one end of the movable machine arm rod, a connecting plate is arranged on one side of each fixing frame, and a clamping column is fixedly connected to the inner side of each connecting plate. The fixed machine arm rod can move in the inner cavity of the movable machine arm rod, so that the total length of the fixed machine arm rod and the movable machine arm rod can be changed, the length of the machine arm can be adjusted, the two clamping columns enter the through holes, the adjusted length can be locked, the length of the machine arm can be adjusted according to task requirements, and the machine arm is convenient to use. The aircraft arm is suitable for different terrains and weather conditions, dynamic adjustment of the arm of force of the propeller is achieved, lift and thrust efficiency is optimized, and the fixed aircraft arm rod and the movable aircraft arm rod can be rapidly detached and replaced.

The present application relates to the technical field of power distribution control, and particularly relates to a power intelligent dynamic distribution method for a skid steer loader based on multi-working condition identification. The method comprises the following steps: performing skid steer loader multi-modal operation characteristic analysis on power states of skid steer loader multi-source operation data to generate skid steer loader multi-modal operation characteristic data; performing skid steer loader working condition characteristic analysis on the skid steer loader multi-modal operation characteristic data to generate skid steer loader working condition characteristic data; performing power demand characteristic analysis on working condition dynamic change trends based on skid steer loader real-time operation data and the skid steer loader working condition characteristic data to generate working condition dynamic change trend power demand characteristic data; and performing skid steer loader power distribution and dynamic optimization processing based on the working condition dynamic change trend power demand characteristic data to generate skid steer loader power distribution dynamic optimization data. The present application realizes efficient and energy-saving intelligent distribution of power under multi-working conditions of a skid steer loader.

The application relates to a dynamic grid coordinate generation method, system, computer equipment and storage medium, and the technical scheme points are as follows: receiving window space coordinates of multiple vertices, inversely transforming the window space coordinates of the vertices into corresponding world space coordinates; generating a primitive using the window space coordinates of all the vertices; performing primitive assembly and primitive rasterization on the primitive to determine target pixel points; performing interpolation calculation on the primitive after the primitive rasterization according to the world space coordinates of the vertices to obtain the world space coordinates of the target pixel points; determining a scaling ratio of the world space coordinates of the vertices and the corresponding window space coordinates according to the inverse transformation, and determining a scale according to the scaling ratio; determining to-be-colored pixel points according to the scale, a preset grid line width and the world space coordinates of the target pixel points, coloring the to-be-colored pixel points to obtain a grid; and the application has the effect of dynamically adjusting the grid scale and better display effect.

The application belongs to the field of robots, relates to a data analysis technique, and aims to solve the problem that the existing intelligent control system for robot moving route cannot timely adjust the planned route of the robot according to the obstacle analysis result, in particular to an intelligent control system for robot moving route based on the Internet of Things, which comprises an intelligent control platform, wherein the intelligent control platform is communicatively connected with a dynamic planning module, a decision analysis module, an environment evaluation module, a route optimization module and a storage module; the starting position and the target position of the robot are acquired, all static planning routes between the starting position and the target position are acquired, a plurality of sub-nodes are set on the static planning routes, and the static planning route with the shortest path distance value is marked as a preliminary selected route; the application can plan and analyze the moving route of the robot in a dynamic environment, and obstacle analysis is performed on each sub-node to realize dynamic adjustment of the moving route of the robot.

The invention provides an oil-gas pump all-in-one machine and a vehicle, and the oil-gas pump all-in-one machine comprises a driving motor which is provided with a driving shaft with two output ends; the steering oil pump is connected with a shell of the driving motor, and an input shaft of the steering oil pump is connected with the first end of the driving shaft; an input shaft of the air compressor is connected with the second end of the driving shaft through an electromagnetic clutch; the pressure sensor is connected with the steering oil pump, and the pressure sensor is used for detecting the pressure of an oil outlet of the steering oil pump; the controller is connected with a shell of the driving motor, the controller is electrically connected with the driving motor, the pressure sensor and the electromagnetic clutch, the controller is used for regulating and controlling the rotating speed of the driving motor according to the pressure of the oil outlet, and the controller is further used for controlling combination and separation of the electromagnetic clutch. According to the scheme, dynamic adjustment of the oil pressure of the steering oil pump is achieved, and the technical problem that dynamic control over the oil pressure of the steering oil pump cannot be achieved in the prior art is solved.

The utility model belongs to mould processing fixed technology field, concretely is a kind of multifunctional freeze-proof valve, the utility can efficiently attenuate water hammer force and realize dynamic regulation, through the fluid inertia impact force of buffer airbag deformation absorption when valve opening and closing, cooperate with the pressure regulating structure of adjusting rod, threaded plate and adjusting spring, can according to fluid pressure, flow accurate adjustment buffering degree, avoid valve body and pipeline due to long-term water hammer effect damage, prolong equipment service life, the utility has automatic freeze-proof protection function, when liquid in valve body freezes and expands, freeze-proof airbag is pressed and pushes airtight rod to move, make telescopic sleeve expand and open adjusting hole, through the gas circulation of buffer airbag and adjusting airbag and reserve expansion space, without additional energy consumption or manual operation can prevent valve body cracking, adapt to cold region and unattended scene, improve the safety and applicability of valve in complex environment.

The application provides a pixel circuit, a display panel and a display device. The pixel circuit comprises a control circuit and at least one processing circuit. The processing circuit can send a first indication signal and a selection signal to at least one pixel circuit. The processing circuit can buffer the first indication signal to obtain a second indication signal by using the driving capability corresponding to the selection signal. The application realizes dynamic adjustment of the front-end digital signal of the pixel circuit. The application enriches the adjustment mode of the driving capability of the indication signal of the pixel circuit, so that the pixel circuit can more effectively adjust the driving capability of the indication signal, and the pixel circuit can more accurately drive the light-emitting device to emit light according to the indication signal.

The invention discloses an ammonia gas catalytic cracker. The cracker comprises a shell and a corrugated coil pipe in the shell, a separation blind plate is arranged in the shell and is parallel to the bottom surface, and the internal space is divided into an upper half area and a lower half area; the corrugated coil pipe repeatedly penetrates through the separation blind plate; the pipe section, located above the separation blind plate, of the corrugated coil pipe is filled with an ammonia catalytic cracking catalyst, and the pipe section, located below the separation blind plate, of the corrugated coil pipe is not filled; an air inlet and an air outlet are formed in the two sides of the upper half area of the shell respectively, and a flue gas inlet and a flue gas outlet are formed in the two sides of the lower half area of the shell respectively; wherein the air inlet and the flue gas outlet are on the same side, and the air outlet and the flue gas inlet are on the same side; an inlet of the corrugated coil is connected with an ammonia pipeline, and an outlet is connected with a cracking gas pipeline. Part of ammonia gas is pre-cracked by utilizing the ammonia gas cracking catalyst, and heat is provided for cracking reaction in the corrugated coil pipe by utilizing flue gas waste heat, so that the adjustment of the combustion property of fuel gas is realized, and the possibility is provided for reducing fuel type NOx.

The invention discloses an electrolytic copper plate defect detection method and system based on a computer vision technology, and relates to the technical field of image processing, the system is composed of a plurality of functional modules, and the system comprises a self-adaptive image acquisition module for acquiring three-dimensional undulating form data and 2D images of a copper plate, and adopting a top-hat transformation algorithm to obtain a three-dimensional undulating form of the copper plate; dynamically adjusting the size of structural elements in the 2D image based on the three-dimensional fluctuation form data to obtain a standard image; the defect segmentation module is used for carrying out gray processing on illumination reflection differences of different areas on the surface of the copper plate based on the three-dimensional fluctuation form data to obtain gray values, mapping the gray values of the different areas to a unified standard interval, and carrying out defect image extraction on the standard image by adopting a 3D feature enhancement and dynamic threshold segmentation strategy; the feature fusion recognition module is used for extracting geometric features and texture features from the three-dimensional fluctuation form data and the 2D image, and splicing the geometric features and the texture features with the defect image to form an initial feature vector;

This application relates to the field of exoskeleton technology, disclosing a leg support structure and an exoskeleton device. The leg support structure includes a first leg support and a second leg support forming a ring structure. The first leg support includes a support frame and a flexible binding member. The flexible binding member is disposed on the inner side of the support frame facing the second leg support and is used to contact the user's leg. One end of the flexible binding member is fixed relative to the support frame, and the other end of the flexible binding member is adjustablely fixed to the support frame via an adjustment component. The adjustment component is also connected between the first and second leg supports to adjust the circumferential dimension of the ring structure. The distance between the other end of the flexible binding member and the side of the second leg support connected to the adjustment component, and the change in the circumferential dimension of the ring structure achieved by the adjustment component, are positively correlated. This leg support structure can simultaneously achieve its own size adjustment and the fit adjustment of the flexible binding member, thereby improving the user's wearing experience.

The utility model relates to the technical field of mine hoisting, in particular to an eccentric gear clearance adjustable encoder device for a mine hoist, which comprises an end cover, a mounting hole is arranged on the end cover, and an eccentric gear component is mounted on the end cover through the mounting hole. The eccentric gear assembly comprises an eccentric bearing frame, a gear shaft I and a connecting body, the eccentric bearing frame is detachably installed on the front surface of the end cover, the connecting body and the eccentric bearing frame are installed in corresponding installation holes in the end cover, an encoder is installed on the outer side face of the connecting body, an input shaft of the encoder is connected with the shaft end of the gear shaft I, and an output shaft of the encoder is connected with the shaft end of the gear shaft II; the shaft end of the gear shaft I is installed in the eccentric bearing frame through a bearing, and the gear end of the gear shaft I is connected with a gear shaft II in an engaged mode. The encoder device solves the problems that an existing encoder device is large in gear meshing clearance due to insufficient machining precision and unstable in signal output due to the fact that the clearance is aggravated by abrasion after long-term operation, and then the control precision and safety performance of a mine hoist are affected.

The application discloses a coated controlled-release fertilizer based on magnetic response intervention nutrient precise control release and a preparation method thereof, and belongs to the technical field of controlled-release fertilizers.The coated controlled-release fertilizer is prepared by using a magnetic response type biological base coating material as a film material, and the magnetic response type biological base coating material raw material comprises, by weight, 30-40 parts of vegetable oil polyol, 15-25 parts of a curing agent, 1-5 parts of a covalent network crosslinking agent, 2-6 parts of a hydrophobic crosslinking agent and 5-20 parts of a magnetic substance.The application can artificially control the film shell pores to realize precise release of nutrients, greatly improve the nutrient utilization rate, and meanwhile, after the nutrient release is completed, the film shell remaining in the soil can be recycled by physical magnetic attraction, which is efficient and environmentally friendly.The application realizes magnetic response precise control of nutrient release by hydrophobic modification, crosslinking degree enhancement technology and introduction of magnetic substances, can artificially intervene in dynamic matching of crop fertilizer requirement rules with the help of an external magnetic field, realizes efficient recycling of the film shell, and eliminates soil plastic residue pollution from the source.

The application discloses a kind of monitoring methods for car machine APP security protection, by obtaining the package information and running behavior of car machine APP, when the package information of the car machine APP is in the cache or whitelist of car machine, the running behavior of the car machine APP is managed according to cache or whitelist;When the package information of the car machine APP is not in the cache and whitelist of car machine, and the interception mode of car machine system to car machine APP is monitoring mode at current time, car machine system obtains the characteristics of the car machine APP, and determines whether to allow the running behavior of the car machine APP according to the characteristics;The application can improve the fine management of car machine APP running behavior, and can improve the accuracy of car machine APP running behavior management.

This invention discloses a power limiting device for a terminal device, comprising: multiple current limiting adjustment units connected in series between the load and a sampling unit; each current limiting adjustment unit includes a current limiting MOSFET and a first comparator circuit, the first comparator circuit including an operational amplifier, a first voltage divider network, and a second voltage divider network; the first voltage divider network is connected to the power input terminal and the inverting input terminal of the operational amplifier; the second voltage divider network is connected to a reference voltage source, the sampling unit, and the non-inverting input terminal of the operational amplifier; the output terminal of the operational amplifier is connected to the control terminal of the current limiting MOSFET; the operational amplifier is configured to drive the current limiting MOSFET to operate in the ohmic region when the voltage at the non-inverting input terminal is less than the voltage at the inverting input terminal, so as to continuously adjust the total current of the main circuit to the current limiting threshold; wherein, the current limiting threshold decreases as the voltage at the power input terminal increases; this device achieves input voltage feedforward constant power limiting through low-cost discrete components, effectively solving the energy limiting problem under wide voltage supply conditions.

The invention discloses a bridge main pier bearing platform foundation pit supporting system, and relates to the technical field of building construction, the bridge main pier bearing platform foundation pit supporting system comprises a first set-shaped steel formwork and a second set-shaped steel formwork, and through holes are formed in the side walls of the first set-shaped steel formwork and the second set-shaped steel formwork; t-shaped plates are fixedly connected to the tops of the first set-shaped steel formwork and the second set-shaped steel formwork; the T-shaped plate is connected with a moving assembly in a sliding manner; the moving assembly comprises a moving plate, the inner side wall of the moving plate is in sliding connection with the T-shaped plate, the moving plate drives a spraying pipe to move left and right, meanwhile, the spraying pipe reciprocates up and down under the assistance of a cylindrical cam, and the inner side walls of the first shaping steel formwork and the second shaping steel formwork can be evenly covered with a release agent conveyed by the spraying pipe; the demoulding effect of the inner side wall of the formwork is ensured, and the quality of a concrete member is improved.

The application discloses an optical power collection device and method, relates to the technical field of optical signal detection, and comprises the following: a photoelectric detector for converting an optical signal into a current signal; a transimpedance amplifier for converting the current signal into a pulse voltage signal; a peak detector for detecting the peak value of the pulse voltage signal; an RC filter network for filtering noise of the pulse voltage signal; a low-frequency amplifier for amplifying the low-frequency pulse voltage signal; an ADC collection module for converting the amplified pulse voltage signal into a digital signal; a first feedback network for adjusting the gain of the transimpedance amplifier; a second feedback network for adjusting the gain of the low-frequency amplifier; and a microcontroller for controlling the first feedback network to adjust the gain of the transimpedance amplifier according to the peak value of the pulse voltage signal and for controlling the second feedback network to adjust the gain of the low-frequency amplifier according to the digital signal.

The invention discloses a temperature control device and method of a semiconductor cooler and a laser device. The temperature control device of the semiconductor cooler comprises a semiconductor cooler driving circuit, a temperature control circuit and a temperature control circuit, wherein a driving signal output end of the semiconductor cooler driving circuit is connected with the semiconductor cooler; the output end of the temperature adjusting circuit is connected with the semiconductor cooler driving circuit, and the temperature adjusting circuit is used for sending an adjusting signal to the semiconductor cooler driving circuit according to the temperature of the semiconductor cooler. In this way, the laser temperature control effect can be improved.

This application discloses an elevator scheduling method, elevator scheduling device, and electronic device, belonging to the field of Internet of Things (IoT) technology. The method includes: receiving a scheduling request sent by the elevator terminal, the scheduling request including historical elevator weights and elevator terminal operating status information, the operating status information including user waiting information for each floor corresponding to the elevator terminal, and the historical elevator weights indicating the priority of each floor's stopping order during the last elevator scheduling; determining a target elevator weight for each floor based on the operating status information and historical elevator weights, the target elevator weight indicating the priority of the elevator terminal's stopping order on each floor; and generating scheduling information corresponding to the scheduling request based on the target elevator weights. By comprehensively processing the current operating status of the elevator terminal and the priority of each floor during the last elevator scheduling, the final scheduling information is obtained, realizing dynamic adjustment of the scheduling information.