233 results about "Control area" patented technology

The invention discloses a low-altitude airspace planning method and system based on a micro-terminal area, and relates to the field of low-altitude airspace planning, and the method comprises the steps: generating a corresponding take-off and landing area for a low-altitude take-off and landing point or a take-off and landing field, and generating a take-off and landing hub area for an adjacent take-off and landing point or a take-off and landing field, so as to construct the micro-terminal area of the low-altitude airspace; constructing a risk area, and forming a restricted area of the low-altitude airline network together with the control area and the no-fly area; on the basis of the restricted area, generating alternative intermediate points connected with the take-off and landing points or the take-off and landing fields; based on the data of the alternative intermediate points and the data of the micro-terminal area, constructing an initial low-altitude airline network connected with all the points; calculating a weight corresponding to each side line in the initial low-altitude airline network, and optimizing the initial low-altitude airline network based on a weighted network; and removing redundant intermediate points based on the optimized network, constructing access points of the airline network and each micro-terminal area, and generating a final low-altitude airline network. According to the invention, a more reliable technical basis is provided for low-altitude route network planning.

The invention provides a heat preservation box capable of rapidly replacing a cold source. The heat preservation box comprises a box body and cold storage plates; the box body is provided with a box door, a cold storage area, a control area and a cold source area are arranged in the box body, the cold storage area is separated from the control area and the cold source area through a middle partition board, and the control area and the cold source area are separated through a side partition board; a backflow partition board is arranged in the cold source area, the cold source area is divided into a cold source cavity and a backflow cavity through the backflow partition plate, the cold source cavity communicates with the lower portion of the backflow cavity, a plurality layers of cold sourceframes used for containing the cold storage plates are arranged in the cold source cavity, and the cold source cavity communicates with the cold storage area through an air inlet channel; an exhaustfan is arranged on the air inlet channel, the cold storage area communicates with the backflow cavity through a backflow channel, and an air blower is arranged on the backflow channel; a control module is arranged in the control area, a first temperature sensor is arranged in the cold storage area, the exhaust fan, the air blower, and the first temperature sensor are electrically connected with the control module; and box body, the middle partition plate and the side partition plate are all made of vacuum composite plates. According to the heat preservation box, the replacement efficiency of the cold source is improved.

The invention discloses an air conditioner intelligent control method and system based on artificial intelligence, and relates to the technical field of artificial intelligence, and the air conditioner intelligent control method comprises the steps that firstly, a first adaptation vector is constructed by fusing region features and strategy features, and the adaptation degree of a controlled region and a to-be-started control strategy is represented; and inputting the vector into a pre-trained air conditioner intelligent control model, evaluating the adaptation degree through a working condition association method under the constraint of a target strategy priority tensor table, outputting an optimized second adaptation vector, and finally dynamically starting an adaptive control strategy for multiple controlled areas according to the vector. According to the method, intelligent matching of regional characteristics and strategies is achieved through an artificial intelligence model, strategy priorities are managed through a tensor constraint mechanism, the problems that in a traditional control scheme, multi-region adaptability is insufficient, and strategy optimization efficiency is low are solved, the energy efficiency and user comfort of the air conditioning system can be dynamically improved, and the user experience is improved. The method is suitable for air conditioner cooperative control of multiple scenes such as intelligent buildings and building automation.

A multi-state PID controlled turntable target tracking method and system relate to the field of control or regulation systems, and the method comprises the following steps: calculating a target motion speed parameter and a target motion acceleration parameter, and analyzing according to the target motion speed parameter and the target motion acceleration parameter to obtain a target movement trend; the method comprises the steps of determining target motion state parameters based on target moving trend judgment, selecting a corresponding control parameter set according to a control area where a target position is located and the target motion state, calculating a proportional term, an integral term and a differential term of position deviation according to the control parameter set, and adding the proportional term, the integral term and the differential term to obtain PID control output. Carrying out amplitude limiting on PID control output according to the maximum allowable speed under the current focal length to obtain a control quantity; and performing first-order filtering processing on the control quantity to obtain a motion control instruction, and driving the azimuth axis and the pitch axis to move based on the motion control instruction. By implementing the method, the tracking precision of the turntable target tracking system can be improved.

The invention provides a dual-fuel ship route fuel filling, switching and navigational speed collaborative optimization method and system, and the method comprises the steps: firstly obtaining route parameters and port parameters of a dual-fuel ship, and dividing a leg between two ports into a discharge control region leg, a canal region leg and a plurality of common legs according to a discharge control region and a canal region; averagely dividing a common leg with the sailing distance greater than a preset distance threshold into a plurality of interval legs, and establishing a mixed integer nonlinear optimization model taking the minimum fuel filling cost and the minimum sailing period delay cost as objective functions under a plurality of specific constraint conditions; carrying out linearization processing on the mixed integer nonlinear optimization model by adopting a linearization method to obtain a mixed integer linear optimization model; and finally, a solver is adopted to calculate an optimal solution of the mixed integer linear optimization model, so that an optimal fuel filling, fuel switching and navigational speed strategy of each sub-route segment is obtained, and collaborative optimization of fuel filling, fuel switching and navigational speed of the dual-fuel ship route is realized.

The invention discloses a data center machine room temperature field equalization method based on a multi-scale model learning strategy. Fusing the equipment tolerance, the refrigeration system performance and the environmental thermodynamic boundary to construct a dynamic safe operation boundary; a machine room-cabinet-equipment multi-scale reverse model is constructed based on a physical guidance neural operator, and backstepping from observation of a temperature field to an optimal control strategy is realized; the method comprises the following steps: dynamically dividing a machine room into a plurality of logic control areas, deploying a reinforcement learning agent for each area, deciding and adjusting the air supply speed under the constraint of a safety boundary, and meanwhile, learning the minimum feasible air speed on line to optimize energy conservation; and when temperature abnormity which cannot be processed by local control is detected, generating and executing a global coordinated regulation and control instruction according to the global temperature field data and an analysis result of the multi-scale model. According to the method, on the premise of guaranteeing the safety of equipment, the temperature field of the data center is subjected to refined and self-adaptive balanced regulation and control, and the energy efficiency and the operation reliability of a refrigeration system are remarkably improved.

The invention relates to the technical field of aeronautical equipment and electronic information, in particular to a CAN bus-based cargo loading fault isolation control method for a cargo machine, which comprises the following steps of: entering a periodic self-checking process if the input of a'test 'control signal is not detected; judging whether the voltage or circuit sampling result exceeds a threshold value or not; the power driving unit sends a CAN message to the sub-control unit, message filtering and screening are carried out according to a message ID, and a bus where the power driving unit is located in the control area and the fault state of the power driving unit in the control area are judged; performing jitter removal processing on the'test 'control signal; detecting whether the'test 'control signal is valid or not again, if not, returning to periodic self-inspection, and if yes, keeping the current fault diagnosis result and sending the current fault diagnosis result to the main control unit; and the self-inspection is ended. The problem that the fault detection process of the power drive and control unit is tedious and complex is solved.

The invention discloses a man-machine interaction instruction generation method for target aircraft remote cooperative control, and relates to the technical field of man-machine interaction instruction generation. According to the method, a track prediction mechanism based on historical state data and a feedforward control strategy are fused, a response window of a control instruction can be judged in advance by constructing a short-time future state prediction sequence of a target drone, and the time sensitivity and the execution matching degree of the control instruction are greatly improved; structured instruction unit generation and multi-stage sub instruction chain analysis are adopted, so that the composite action is modularly expressed and finely disassembled, and the control precision and logic consistency of complex operation are effectively improved. Besides, by means of space attitude residual error screening, envelope boundary modeling and time tolerance design, a stable control area and a buffer area can be established in multiple directions, and the fault-tolerant capability and controllability in the high-dynamic flight state are improved.

The invention discloses an unmanned surface vehicle robust track tracking method based on track curvature adaptive segmentation control, and relates to the technical field of unmanned surface vehicle autonomous navigation control, and the method comprises the steps: calculating the track curvature of a current leg in real time, and dividing a control section based on a preset threshold; executing a corresponding control strategy according to a control section, dynamically adjusting a proportionality coefficient, an integral coefficient and a differential coefficient by adopting fuzzy PID, and generating a steering lag prediction compensation amount based on a planning energy optimal speed; and steering compensation is carried out based on the steering lag prediction compensation amount, so that steering lag is reduced. And finally, judging whether the terminal point of the current flight segment is reached or not so as to obtain an optimized flight path tracking result. Through a curvature-driven three-section control strategy, a dynamic foresight distance dual constraint and an energy consumption optimization mechanism, the problems of tracking drift, control switching oscillation and energy waste of a traditional method in a sharp turn leg are solved, and the tracking precision and the system robustness under a complex track are remarkably improved.

Control zone devices that integrate a valve, filter, and pressure regulator within a single device are provided. Specifically, the control zone devices include a main body having a base portion with an inlet passage and an outlet passage attachable to a conduit and a body portion extending from the base portion having an interior for receiving a filter. The control zone devices further include a valve body including a solenoid bowl for attaching a solenoid and an interface cap for removably coupling the valve body to the main body of the control zone device and forming an interface between the valve body and the main body to operate the valve. The control zone devices also include a pressure regulator. In some configurations, the pressure regulator is positioned in a vent flow path of the valve body downstream of the solenoid for regulating pressure at the valve.

The present disclosure discloses a multifunctional side impact block control system and a child safety seat including the same. The multifunctional side impact block control system includes a seat body, a side impact block movably mounted on a left side surface and / or a right side surface of the seat body, a main controller, and a functional module integrated in the side impact block. The side impact block and the functional module are in communication connection with the main controller. The functional module includes one or more of an interaction unit, an entertainment unit, an environment adjustment unit, a safety unit, and a welcoming unit. The side impact block movably mounted on the side surface of the seat body can be easily operated by a user, making the interaction more intuitive and providing a control region that better meets the requirements in practical applications, thereby providing great convenience.

The invention relates to a multi-target pull-in trajectory planning method for an automatic driving bus harbor type stop, and the method comprises the steps: S1, setting a control region, and building a plane coordinate system; s2, determining a basic operation rule of the bus; s3, determining a trajectory planning target and determining a trajectory planning constraint condition according to the multi-target pull-in trajectory planning model; step S31, selecting the minimum weighted values of the punctuality P, the energy consumption E and the comfort C as a target of bus pull-in track planning; step S32, determining constraint conditions of trajectory planning, and considering speed, acceleration, curvature, driving distance, starting and ending positions and driving obstacle avoidance constraints; s4, solving the planning model through a sequential quadratic optimization algorithm to obtain an optimal driving track of the bus; s5, executing the vehicle track according to the step S4; and S6, waiting for triggering of a next round of decision. The method can effectively achieve the decision-making of the whole automatic driving bus station entering process in a harbor type stop station scene.

The embodiment of the utility model provides a ship cockpit and an electric ship, and relates to the technical field of ship equipment. The electric ship comprises a ship cockpit, the ship cockpit comprises a workbench, the workbench is sequentially divided into a first functional area, a main control area and a second functional area in the width direction of the cockpit, the main control area is provided with a first monitoring screen and a second monitoring screen which are arranged at intervals in the width direction, and the main control area is further provided with an instrument panel. The instrument panel is located on the lower side of the first monitoring screen and the lower side of the second monitoring screen, the first functional area and the second functional area are each provided with a radar interaction unit, at least one of the first functional area and the second functional area is provided with an electronic map display screen, and the electronic map display screen is located on the upper side. A driver can comprehensively use equipment such as the main monitoring screen, the auxiliary monitoring screen, the electronic map display screen and the navigation radar interaction unit to provide omnibearing and high-precision ship information display and monitoring for the driver.

The present invention relates to a multi-objective approach trajectory planning method for an automatic driving bus at a bay-type bus stop, which includes the following steps: Step S1: Set a control area and establish a plane coordinate system; Step S2: Determine the basic operation rules of the bus; Step S3: The multi-objective approach trajectory planning model includes determining the trajectory planning objectives and determining the trajectory planning constraint conditions; Step S31: Select the minimum weighted value of punctuality P, energy consumption E, and comfort C as the objective of the bus approach trajectory planning; Step S32: Determine the constraint conditions of the trajectory planning, considering speed, acceleration, curvature, driving distance, start and end positions, and driving obstacle avoidance constraints; Step S4: Solve the planning model through a sequential quadratic optimization algorithm to obtain the optimal driving trajectory of the bus vehicle; Step S5: Execute the vehicle trajectory according to Step S4; Step S6: Wait for the next round of decision trigger. It can effectively implement the whole process decision-making of the automatic driving bus approaching the station in the bay-type bus stop scenario.

This application discloses a low-altitude airspace planning method and system based on micro-terminal areas, relating to the field of low-altitude airspace planning. The method includes: generating corresponding take-off and landing areas for low-altitude take-off and landing points or fields, and generating take-off and landing hub areas for adjacent take-off and landing points or fields to construct micro-terminal areas of the low-altitude airspace; constructing risk areas, which, together with control areas and no-fly zones, constitute the restricted areas of the low-altitude flight path network; generating alternative intermediate points connecting each take-off and landing point or field based on the restricted areas; constructing an initial low-altitude flight path network connecting all points based on the data of the alternative intermediate points and the data of the micro-terminal areas; calculating the corresponding weights of each edge line in the initial low-altitude flight path network, and optimizing the initial low-altitude flight path network based on the weighted network; and removing redundant intermediate points based on the optimized network, constructing the flight path network and the entry and exit points of each micro-terminal area to generate the final low-altitude flight path network. This application provides a more reliable technical basis for low-altitude flight path network planning.

The application provides a method and system for controlling air-borne radioactivity in a control area cabin of a water surface nuclear power ship. A gradient negative pressure is formed in the control area cabin of the nuclear power ship, such as a nuclear power plant containment cabin, an auxiliary cabin, a pollution monitoring and decontamination cabin, and an access passage cabin, by using facilities such as an exhaust fan and a negative pressure compressor, so that the air-borne radioactivity generated during normal operation of the nuclear power plant is controlled. The application can better limit the range of air-borne radioactivity in the control area cabin, prevent the air-borne radioactivity from spreading and leaking to other cabins, and provide strong protection for the radiation safety of personnel on the nuclear power ship.

The present invention discloses an energy-saving constant temperature dehumidification system for an air conditioner, which relates to the technical field of constant temperature dehumidification and solves the technical problem in the prior art that two models cannot be compared to infer whether the real-time energy consumption in the control stage is normal and targeted adjustments cannot be made. Specifically, the system comprises an environmental model construction unit, which constructs an environmental model for a designated area corresponding to an air-conditioning control center; a control model construction unit, which constructs a control model for the control area, and performs control evaluation on the control area based on the control model construction to infer the control status of each point in the real-time control area; after completing the control model construction, the dynamic control model and the environmental model are sent together to a model comparison module, which performs model comparison after receiving the model, and can detect the real-time control progress through the model comparison.

1. The name of the design product: self-service certificate and recycling machine. 2. The use of the design product: mainly used for self-service certificate and recycling of airport control area access certificate. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1. 5. The bottom view is the part that is not easy to see when in use, so the bottom view is omitted.

The invention discloses a DO automatic setting system based on effluent NH3-N concentration as a control target. According to the system, water quality parameters and process operation parameters are monitored in real time through a sensor module; monitoring water quality parameters and process operation parameters acquired by the sensor module are collected and transmitted through the data acquisition module; the parameter optimization module receives the monitored water quality parameters and the process operation parameters transmitted by the data acquisition module, and performs parameter optimization according to an intelligent algorithm; the DO setting module receives the data transmitted by the acquisition module and the data optimized by the parameter optimization module, and calculates DO setting values of different control areas; and the display module is used for visualizing the operation state and monitoring data of each module. Real-time response can be carried out according to the water inlet load and the process conditions, hysteresis and irrationality of manual setting are avoided, it is ensured that effluent NH3-N stably reaches the standard, dissolved oxygen interference caused by nitrification liquid backflow is reduced, and the denitrification environment of an anoxic zone is guaranteed.

The invention relates to the technical field of helicopter cabin door manufacturing, and discloses a helicopter cabin door bubble type window forming method and system.The helicopter cabin door bubble type window forming method comprises the steps that a three-dimensional finite element analysis model of a helicopter cabin door bubble type window is built, and stress distribution after the bubble type window is reduced to the use temperature from the hot press forming temperature is analyzed; stress values and curvatures of all finite element nodes of the model are analyzed according to the three-dimensional finite element of the bubble type window; a clustering analysis method is adopted to divide a three-dimensional finite element analysis model into a plurality of cooling control areas and the cooling rate of each cooling control area meeting the internal stress limit value, the met cooling rate is determined through finite element analysis, regional precise cooling of different cooling control areas in the hot press forming process is achieved, and the cooling rate of each cooling control area is determined. The internal stress of the formed bubble type window structure is ensured to meet the control requirement, and particularly, the bubble type window is ensured not to easily generate larger temperature stress, so that the mechanical property of the bubble type window is improved.

The invention discloses a constant-temperature dehumidification system of an energy-saving air conditioner, relates to the technical field of constant-temperature dehumidification, solves the technical problems that in the prior art, two models cannot be compared to deduce whether real-time energy consumption in a control stage is normal or not and cannot be adjusted in a targeted mode, and particularly relates to an environment model building unit. Environment model construction is conducted on a designated area corresponding to the air conditioner control center; the control model building unit is used for carrying out control model building on the control area and carrying out control evaluation on the control area according to the control model building so as to deduce the control condition of each point location in the real-time control area; after the construction of the control model is completed, the dynamic control model and the environment control model are sent to the model comparison module together, the model comparison module carries out model comparison after receiving, and the real-time control progress can be detected through the model comparison.

The application provides a data processing method and system for low-altitude safety situation analysis based on a 5G base station tower, relates to the technical field of low-altitude safety management and control, and first acquires original signal feature sequences in a continuous monitoring period of distributed 5G base station towers, constructs a dynamic baseline model based on a historical signal feature library, generates an abnormal signal feature set, calls a multi-base-station cooperative identification model to perform cross-base-station correlation analysis, extracts a target signal correlation mode, deduces low-altitude target real-time trajectory parameters by using a triangular positioning algorithm, matches the real-time trajectory parameters with a preset safety management and control area, generates a low-altitude safety situation evaluation report and pushes the low-altitude safety situation evaluation report to a regional safety command platform, so that real-time and accurate evaluation and early warning of low-altitude safety can be realized.

The invention discloses an integrated module for storage in a water dispenser, which is mainly characterized in that the integrated module is arranged in the water dispenser, the integrated module is provided with a base and a top cover covering the base, the base and the top cover are at least divided into a control area for placing a control device and a heating area for placing a heater after being covered, and the control area and the heating area are arranged in the water dispenser. The control device and the heater can be assembled in advance to form a module, subsequent rapid installation of the water dispenser is facilitated, and the arrangement space between the control device and the heater is effectively reduced due to the design of the integrated module. The overall size of the water dispenser is greatly reduced, so that the use convenience of the water dispenser is improved.

This invention relates to the field of unmanned aerial vehicle (UAV) automatic control technology, specifically to an automated target tracking method, system, device, and medium for UAVs. The method first acquires a fixed-size continuous physical address space and divides it into an image storage area, a flight control status area, and a command control area based on data type. Next, it acquires image data and scans the image data using a lightweight deep learning algorithm, writing the identified target's two-dimensional image coordinates into the image storage area. Then, it converts the target's two-dimensional image coordinates into UAV flight control commands and stores them in the command control area. Finally, based on the flight control commands, it adjusts the UAV's attitude angle, flight speed, and flight altitude, converting the flight control commands into executable signals to drive the UAV's aircraft mechanism to adjust its flight state, and writing the flight state into the flight control status area. This achieves autonomous target detection, coordinate calculation, and automatic follow-up tracking without operator intervention.

Provided is a multifunctional monitoring control box. Relates to an outdoor power utilization control box. The control box is divided into a control area on the front side and a strong current area on the rear side through the partition plate. A front door matched with the control area and a rear door matched with the strong current area are arranged on the control box; the control area comprises an upper half area and a lower half area, wherein the upper half area is provided with a switching value input detection module, a 485 module, a switching value output control module, a relay control module and a communication module which are respectively connected with a master control module; the lower half area is provided with a water level detection module connected with the switching value input detection module, a temperature and humidity detection module connected with the 485 module and a temporary power utilization system connected with the relay control module; according to the utility model, abnormal conditions of equipment can be found in time, early warning can be carried out, management personnel can be helped to rapidly locate problems and take measures, and the possibility of fault occurrence and the maintenance cost are reduced.

The invention provides a UWB-based special operation process management alarm method and system, and relates to the field of special operation management. The method comprises the steps of setting a dynamic electronic fence corresponding to each operation flow in a model according to a plurality of operation flows of a special operation permission application based on a management and control area map model; according to a plurality of operating personnel applied by the special operation permission, binding each operating personnel and a corresponding operation process through the unique identifier of the operating personnel; receiving work ticket signing information, and obtaining a first real-time position of a worker corresponding to the work ticket based on a UWB real-time positioning system; and calling an operation process bound by the operator and a corresponding dynamic electronic fence, judging whether the operator triggers an alarm regulation or not according to the first real-time position, and when the operator triggers the alarm regulation, pushing alarm information to a management center and mapping the alarm information to the operator. According to the invention, full-process management and control of the special operation process and personnel tracking and positioning precision in special operation process management are effectively realized.

The present application relates to the field of fresh air heat exchange technology, in particular to a multifunctional fresh air machine and a use method, the main body of the multifunctional fresh air machine is a cuboid, which is divided into a power area, a heat exchange area and a control area. The present application can intelligently switch different working modes according to different weather conditions and indoor and outdoor temperature differences, thereby reducing the loss of the total heat exchanger and improving the overall exchange efficiency. In addition, the present application uses a symmetrical air duct structure inside, according to the demand of space site layout, the installation direction of the fresh air machine is flexibly selected, so that the system pipeline arrangement is more reasonable.

The application discloses a kind of airspace sector vertical boundary dynamic adjustment method, model establishment, the model establishment includes the following steps, 4D flight path prediction of aircraft in flight, control interval and wake interval constraint, controller workload analysis and calculation process, the present application is based on flight plan and 4D flight path prediction theory, with the angle close to actual operation, the sector aircraft flow in any unit time is designed Unified algorithm, and the approach sector opening strategy is pre-tactical planning, and calculation simulation is carried out with actual regional control area as an example, the algorithm proposed can realize the dynamic adjustment of sector vertical boundary with actual operation, and the calculation result can meet the actual operation needs, better than the current airspace setting scheme, the method can provide theoretical support and decision reference for control operation, with practical use value, the algorithm has strong universality, and the degree of automation is high, can be used for prediction, and can update data in real time in operation.

A control method and apparatus, a scheduling platform, a landing platform, an aircraft, and a medium. The method comprises: determining state information of a target terminal control area corresponding to a target landing platform, the target terminal control area being determined on the basis of take-off and landing channels of multiple landing platforms, the multiple landing platforms comprising the target landing platform and an interfering landing platform having a take-off and landing conflict with the target landing platform, the spatial dimensions of the target terminal control area being changeable on the basis of a change in the number of interfering landing platforms, and the state information of the target terminal control area being used to indicate whether the target terminal control area is occupied (S11); and controlling a target aircraft and / or the target landing platform on the basis of the state information of the target terminal control area, the target aircraft being an aircraft intending to land on the target landing platform or to take off from the target landing platform (S12).