662results about How to "Real-time control" patented technology

The present invention discloses a model predictive control-based home integrated energy intelligent optimization and management system. According to the technical scheme of the invention, the structural features of a home energy local area network and the operating characteristics of all devices are analyzed, and then an economic operation scheme for the optimal energy management of the system is constructed. The system comprises a data acquisition module, a prediction module, an energy management and optimization module, a real-time scheduling optimization module, and a control and communication terminal module. Based on the model predictive control method, the online rolling optimized solution is conducted according to the energy consumption requirements of a load within different time periods, the real-time price of energy, and the state information of distributed power generation equipment and energy storage equipment. Therefore, the optimum allocation of the energy, and the economic and safe operation of the system are realized. Based on the internet technology, a network service platform is set up. Through a handset app, the functions of on-line monitoring, remote control and the like are realized. In this way, a user can know the energy consumption condition of home energy and the operating states of all intelligent devices at any time, so that the remote monitoring is realized for the user. The system provides a novel economic energy management mode for the user.

The invention relates to a method and device for determining user position change. The method comprises the following steps: judging whether the strength of a first signal detected by a first target detector in a target indoor environment is reduced to a pre-set threshold value or not; judging whether a second target detector positioned at the inlet of the target indoor environment detects a second signal or not when the strength of the first signal detected by the first target detector is reduced to the pre-set threshold value; and judging that a user leaves the target indoor environment when the second target detector detects the second signal. By means of the technical scheme, whether the strength of the first signal detected by the first target detector is reduced to the pre-set threshold value and whether the second target detector detects the second signal can be judged, such that whether the user leaves the target indoor environment can be accurately judged; therefore, the user position change can be accurately judged; and thus, intelligent home furnishings in the target indoor environment can be controlled effectively in real time.

The invention discloses an ensemble kalman filter-based particle filtering method, which comprises the following steps of: the initialization of sampled particles, the prediction of a background ensemble at a k moment, the calculation of a kalman gain, the fusion of the latest observation information, the updating of the background ensemble, the recalculation and analysis of the ensemble, the construction of a suggested Gaussian distribution function, the normalization of weights, and the like. The ensemble kalman filter-based particle filtering method provided by the invention avoids the calculation of a Jacobian matrix because a nonlinear system is not required to be linearized, and improves the calculation accuracy by adopting a sampling method to realize approximately linear distribution. In the particle filtering method, a sampling point number is heuristic and can be flexibly set, so the amount of calculation is not increased sharply with the increasing of dimensionality, and the real-time performance is effectively controlled.

The invention provides a main network and distribution network integrated security power supply system. The main network and distribution network integrated security power supply system comprises an energy management system (EMS), a distribution management system (DMS) and a video monitoring system, wherein grid models of all stages of dispatching automatic systems are spliced among the EMS, the DMS and the video monitoring system in an extensible markup language (XML) format of a common information model (CIM); and graphs of all stages of dispatching automatic systems are shared among the EMS, the DMS and the video monitoring system in a scalable vector graphics (SVG) format. The main network and distribution network integrated security power supply system provided by the invention aims to integrate data and integrated application, is comprehensively interconnected with the conventional EMS, the conventional DMS and the conventional video monitoring system by using a uniform grid information model, a uniform encoding standard and a uniform showing way, can share data to the greatest extent, and can comprehensively monitor and control each stage of related grid information in real time.

The invention discloses an inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method. The inner and outer layer nesting ECMS multi-objective double-layer optimization method includes steps of building multi-objective optimization models of plug-in hybrid electric vehicles; solving the multi-objective optimization modelsby the aid of inner and outer layer nesting multi-objective particle swarm algorithms to obtain multi-objective optimized Pareto solution set front edges; weighting equivalent fuel consumption per hundred kilometers and variation ranges of deviation of SOC (state of charge) final values and target values, building total evaluation functions related to the equivalent fuel consumption per hundred kilometers and SOC deviation and selecting the optimal charge and discharge equivalent factors and engine and motor power distribution modes corresponding to the optimal charge and discharge equivalentfactors. The inner and outer layer nesting ECMS multi-objective double-layer optimization method has the advantages that output power of engines and motors of the plug-in hybrid electric vehicles canbe reasonably distributed at CS (charge sustaining) stages, so that fuel consumption can be reduced as much as possible, battery SOC balance still can be effectively kept, and the fuel economy of theintegral vehicles can be improved.

The invention discloses an intelligent port logistics system and device based on a third-generation (3G) internet of things application platform and relates to collection and distribution, transit shipment, storage, trading, processing, ports, multimodal transport, cargo agency and device dispatching management of port cargoes. The intelligent port logistics system and device comprises a port logistics system and device and is characterized in that the 3G technology and the internet of things technology are integrated into the port logistics system and device to form the intelligent port logistics system and device. The intelligent port logistics system and device is provided with a real-time remote data collection processing system, a monitoring system and an operation system and device, and improves operation efficiencies in links of port logistics operation, transport service, port management, the port logistics system and device and the like. The intelligent port logistics system has individuality identification and data sharing functions due to internet of things chips arranged on the port logistics device and cargoes, can achieve mutual connection of things, achieves remote control and reduces port logistics cost, and a modern port logistics system which is real-time, accurate, efficient and high-quality in the port service range can be built in future.

The invention provides a method for constructing an industrial park atmosphere pollution characteristic online monitoring system, particularly a method for constructing an online monitoring system for industrial park emission including atmosphere characteristic pollution factors, such as VOCs, inorganic gas and odor substances, and relates to the technical field of industrial park atmosphere environment online monitoring. The method for constructing the industrial park atmosphere pollution characteristic online monitoring system comprises the steps: A, selecting a monitoring site; B, determining a monitoring factor; C, screening a pollutant monitoring instrument; D, establishing an atmosphere automatic monitoring system; and E, constructing an information management system. According to the method for constructing the industrial park atmosphere pollution characteristic online monitoring system, a mutually complementary atmosphere pollution early-warning and monitoring system is obtained by screening automatic monitoring instruments, which are used for optimally controlling pollutants and are integrated with a chromatography, a sensor, a mass spectrometry, an optical technology and so on, on the basis of atmosphere characteristic pollution analysis from three levels of the park, the boundary and sensitive points; online real-time control of industrial park atmosphere characteristic pollution unorganized emission, industrial park boundary and factory boundaries is realized, so that the atmosphere pollution is converted from manual prevention to technical prevention; and therefore, a novel environment management mode is established.

A method and system are presented for use in analyzing a sample. The method comprises applying real time monitoring to a sample while undergoing a separation process consisting of spatial separation of molecules of different molecular weights in the sample. The system includes a monitoring unit configured to be integrated with a separation unit in which the separation process takes place.

The invention belongs to the field of road construction quality control, and provides a device which can be used for automatically monitoring the pavement paving thickness and ironing vibration frequency of a highway with high precision in real time. The device can be used for achieving real-time measurement on the pavement paving quality, can also be used for remotely sending measurement information to a database for follow-up quality evaluation application, ensures that the paving quality can meet design requirements, can perform real-time alarm on substandard conditions, and ensures that a statistical diagram is formed to be taken as the basis for relevant departments to carry out the paving quality management. Therefore, the device adopts a technical scheme as follows: a real-time monitoring device of the pavement paving thickness and ironing vibration frequency comprises a paving thickness and ironing vibration measurement device, a GPS real-time positioning device, an integrated controller and a data wireless transmission device (DTU), wherein the paving thickness and ironing vibration measurement device comprises a steel-made bracket, an inclined moving beam, a rubber wheel, an acceleration transducer and two tilt angle sensors. The device provided by the invention can be mainly applied to road construction quality control.

The invention discloses an air conditioner load control system based on personnel information detection. The air conditioner load control system comprises a BP neural network module used for completing training and predicting the air conditioner load quantity and further comprises a personnel information detection module used for detecting personnel information within the air conditioner working range. The personnel information comprises the personnel types and the corresponding quantities. The BP neural network module is provided with a corresponding relation between an air conditioner load and the personnel information. The invention further discloses an air conditioner load control method based on personnel information detection. According to the air conditioner load control system and method based on personnel information detection, compared with other personnel number acquisition technologies used for air conditioner load predicting, the personnel load requirement difference can be better analyzed, and the air conditioner load control system and method have very important significance for precise load management and control, internal personnel thermal comfort strengthening and comfortable artificial environment creating.

The invention discloses an automatic driving system for non-public road based on digital twin technology, and the system comprises an automatic driving cloud server and an automatic driving vehicle, wherein the automatic driving cloud server and the automatic driving vehicle carry out data interaction through a high-speed wireless communication link to transmit vehicle location/attitude information and vehicle control information; the automatic driving cloud server is internally provided with digital twin vehicles, a map module and a vehicle automatic driving algorithm; the automatic driving vehicle comprises a vehicle positioning unit, a vehicle movement controller and an obstacle detection module. The invention can realize a reliable, all-weather working and fully autonomous automatic driving system for a low-speed non-public road vehicle at a low cost. At the same time, a simple and flexible vehicle management and control and remote takeover method is further provided.

The invention discloses a remote-monitoring intelligent boiler system which comprises multiple boiler control subsystems, a remote-monitoring platform and a handheld mobile terminal. The boiler control subsystems are used for collecting and uploading operating data of a boiler, and controlling the operating state of the boiler according preset parameters. The remote-monitoring platform is a computer system arranged in the remote control center, and is used for monitoring operating data of each boiler subsystem remotely, and carrying out warning and remote boiler shutdown or remote fault processing operation when faults occur. The handheld mobile terminal is used for getting access to the remote-monitoring platform, inquiring the boiler state and achieving remote boiler shutdown or remote fault processing operation. The system has remarkable advantages that remote monitoring, warning, remote boiler shutdown and remote fault processing functions are achieved, the number of boiler managing personnel can be reduced, operating cost of the boiler is reduced, and the faults are mastered in real time and can be diagnosed and processed fast.

The invention discloses an electric spindle semi-active vibration control test stand, a system and an electric spindle control method, wherein the electric spindle semi-active vibration control method comprises the following steps: through a processor, an electric spindle torsional coupled vibration signal is separated by using an experience modal decomposition and Hilbert transformation method so as to obtain a test frequency and a test phase; through an electric spindle intensive parameter equivalent mechanical model and the design parameter of the electric spindle system, the theory frequency and theory phase of the bending vibration and the torsional vibration of the electric spindle are obtained; through a force synchronizing vibration control model, the testing frequencies of the bending vibration and the torsional vibration of the electric spindle are combined, the test phase, the theory frequency and the theory phase are combined, so that a first pulse-width modulation (PWM) signal of a magneto-rheological absorber used for controlling the bending vibration and a second PWM signal of the magneto-rheological absorber used for controlling the torsional vibration are generated respectively. Therefore the bending vibration and the torsional vibration of the electric spindle can be synchronously controlled.

The invention discloses a method for preventing and controlling the nitrogen blockage of an argon preparation system of a space division device, which comprises the following steps: selecting measurement values of all important indexes of the argon content of an argon fraction, the argon fraction temperature, the argon content of the top of a rough argon tower II and the oxygen purity of a product as controlled variables, wherein the argon content of the argon fraction and the argon fraction temperature are used as a first defensive line for monitoring nitrogen blockage, the argon content of the top of the rough argon tower II is used as a second defensive line, the two defensive lines are used for directly and accurately reflecting whether the argon preparation system generates the nitrogen blockage or not, and the oxygen purity of the product is used for reflecting whether the working condition of a main tower is stable or not; selecting the oxygen taking content, the pure liquid nitrogen reflux amount of an upper tower and the rough argon extraction content as operation variables; and calculating the optimal control increment of all the current operation variables by a predicting control algorithm so as to adjust the working condition of the rectification of the main tower and the argon system. The invention can monitor and adjust the change of the content of oxygen, argon and nitrogen of the argon system in real time under a steady working condition and variable load and effectively prevent and process the nitrogen blockage of the space division device fundamentally.

The invention discloses a self-balance control method of a movable type inverted pendulum system. State signals of the movable type inverted pendulum system are collected, the filter processing data method with the combination of a wavelet topology network and a regulator is adopted, a signal fusion technology is used for assistance, input data, middle data and output data of each filter node where effective values of the wavelet network enter are continuously adjusted, the controlled system control number output by the system is completed, the stability and the reliability of work of an inverted pendulum are improved, and the driving and riding stability, safety and comfort of an electric riding tool based on the inverted pendulum system are improved. The invention discloses a self-balance vehicle intelligent control system. By the adoption of a filter processing unit and a signal fusion unit, the capacity of combined control and information feedback of an electrical system and a mechanical system are improved, tiny disturbance generated in the movement process of a self-balance vehicle is reduced, the intelligent degree is improved, the self-balance vehicle intelligent control system is convenient and easy to use, comfortable, stable and capable of reducing cost and improving the cost performance.

The invention discloses an intelligent household system based on ZigBee. The intelligent household system comprises household equipment nodes, a household main node, a household gateway and an intelligent mobile client. ZigBee modules are arranged in a household environment to serve as the household equipment nodes which are combined in a wireless communication mode to form a network. The household equipment nodes are responsible for monitoring the environment state in a certain scope around the household equipment nodes, sending and receiving signals and carrying out data processing. A ZigBee wireless sensor network serves as a household control subnet, a household PC machine serves as the household gateway and a household control center, and the household PC machine accesses the household control subnet on an Android through a WIFI wireless data communication technology, so that intelligent control and remote monitoring over household system equipment is realized. The intelligent household system based on ZigBee is simple and highly efficient, low in cost, high in universality and good in expansibility.

This invention disclose a intelligent bus system and its realize method, the monitor center of the system and the bus electric system change their information in network, the peripheral equipment of the bus electric system includes report station implement, LED display screen, the guidepost, station sign, all of these equipment are linked with the bus host computer; the monitor center can send the related dictate to the bus host computer in network, the bus host computer doing related operation to the related peripheral equipment according to the received dictate, the peripheral equipment uploads the feed back information to the monitor center, by the way, the bus host computer can locate in real time, and upload the orientation information according to the dictate of the monitor center. The monitor center can realize the far distance, real time monitor to the bus electric system, at the same, realize the entirety information alternate and share in the system.

The invention discloses an endoscope surgical instrument outer sheath with variable rigidity and belongs to the technical field of minimally invasive surgical instruments. The endoscope surgical instrument outer sheath is composed of a plurality of variable-rigidity flexible units. Each variable-rigidity flexible unit comprises an instrument passage, three high-flexibility air bags, rigid connectors, a rigid wire and two discs; the rigid wire penetrates the rigid connectors and is connected with the same rigidly, the three high-flexibility air bags are connected by the method of looping the minimum-diameter positions of the air bags by round holes of the rigid connectors, and two ends of each of the three high-flexibility air bags are connected with the first disc and the second disc respectively. Spatial bending and rigidity adjusting can be realized by controlling internal pressure of the air bags. The endoscope surgical instrument outer sheath can be fit with the physiological curves of cavities of the human body, does not compress the inner-wall tissues, provides mechanical support to the surgical instruments by means of rigidity adjustment after reaching at focuses, and assists doctors to do operation more effectively on the premise of guaranteeing safety of minimally invasive surgery.

The invention discloses an automatic drilling and milling system and method and a drilling and milling production line, and relates to the technical field of electromechanical machining. The automatic drilling and milling system and method and the drilling and milling production line can be applied to the process of machining to-be-machined aluminum workpieces and the like through a milling machining center and/or an automatic robot drilling and milling system and the like; and in other words, 3D scanning and other surveillance technologies are utilized for conducting online surveillance and compensation on the robot track, and accordingly accurate machining of the to-be-machined workpieces is achieved.

The invention discloses an electronic deviation rectifying device used in glass fiber wallhanging cut trimming, consisting of a control system and an execution system. The control system comprises at least two colour mark sensors, a programmable controller, a transducer, and a revolving coder, and the execution system is composed of an execution motor frame, a slide bar frame, a sensor frame, a cutter saddle, an execution motor, a screw mandrel and a cutter. After any of the colour mark sensors detects color streak which serves as a colour mark inlayed along the edge on the upper surface at one side of the edge to be cut of the wallhanging, the colour mark sensor sends the location information to the programmable controller to control the movement of the cutter so as to rectify deviation. The signals of the colour mark sensors can be used in high speed deviation rectification and low speed deviation rectification. The revolving coder feeds back the detected speed of the threads of the wallhanging to the programmable controller to control the movement speed of the cutter so as to ensure constant ratio of deviation rectification to the speed of the threads of the wallhanging. The electronic deviation rectifying device realizes automated control to deviation rectification and is high in rectification precision, stable in performance, simple in operation and installation and low in making cost.

The invention belongs to the technical field of civil engineering, and provides a theoretical basis and a feasible, effective and practical method for an engineering decision, meanwhile, assists managerial staff of an engineering project in managing and controlling dam body filling construction; besides, the balancing-optimalizing method performs consideration from the whole life cycle of the engineering to comprehensively consider the important influence from the project time limit and the quality on the cost, and provides a construction scheme which more meets practical construction requirements and is more economical for decision makers. Therefore, the technical scheme adopted by the invention is that a balancing-optimalizing method, for the project time limit, the quality and the cost, used in the concrete faced rockfill dam construction builds a balancing-optimalizing model which is based on quality cost and decision preference, and gives a non-dominated sorting genetic algorithm which is used for optimizing model solution and based on fuzzy project time limit and fuzzy quality; a built mathematical model is a built objective function; a fuzzy measure Me method is adopted to calculate the project time limit, the quality, the construction cost and the total cost of each general scheme. Thus, the balancing-optimalizing method provided by the invention is mainly applied to the civil engineering.