145results about How to "Optimization Strategy" patented technology

A system and method monitor a hydrocarbon reservoir for drainage in volumetric three dimensions. Monitoring between wells is imperative for optimum reservoir management and is achieved by mapping the hydrocarbon fluid pathways in a producing reservoir. Unlike conventional 4D or time-lapse reflection seismic imaging systems that use a controlled active seismic source and records reflected seismic energy at receivers, the system and method exploit the minute vibrations, or micro-earthquakes generated in the reservoir layers that are induced by fluid movement. These microseisms are detected as the fluids move in the reservoir.

A well-known transactions feature in data replication that takes the “last seen” transaction watermark, stores the watermark for each source in a topology, and tags each transaction with information associated with its origin. The tagged data is called Originator Information, and contains, but is not limited to, information on the originating server, originating database, and the originating transaction. This technology provides users with a method to scale out (keep more than two nodes in synchronism with updates at all nodes), increase availability of data during limited network failures (multiple replication pathways), and improve recovery strategies (redeliver transactions upon restore).

The invention discloses a 3D visualized smart water affairs operation system. The system comprises a sewage plant automatic control module, a sewage plant optimization module, a pumping station automatic control module, a water quality monitoring module, a plant area display module, a video monitoring module, an equipment management module, an energy consumption management module, an intelligent tour inspection module, a pipe network management module, a data analysis module and a mobile end module connected with a central database via a central scheduling module; the video monitoring module is connected with the data analysis module; and the data analysis module is connected with the central database and the central scheduling module. According to the system, a 3D virtual reality technology is used, a complete remote monitoring, early warning, scheduling, disposal and control system is established, an intelligent integrated command platform and mobile tour inspection equipment are constructed in an integrated manner, the capability of coping with change is improved, operation management is made digital, informational, modern, automatic and intelligent, remote data monitoring and control are realized, and the management efficiency and precision are improved greatly.

An investment chart based interactive trade simulation and game system is provided. The system uses a computer or other computing device, real historical data, and a computer program to dynamically recreate the investment charts of any moment back to any date in the history, as long as the historical data exists. It interacts with players to dynamically recreate the real market environment in the history, and allows them to make investment decisions as though the market were today's market. The system can simulate any market, such as stock, bond, currency, and commodity markets, and any investment vehicle, such as options and futures.

Interventional immobilization devices used to immobilize a body part and then, during a medical procedure, orient a medical device to treat located tissue within the body part are provided. The devices are designed to immobilize body tissue while preserving, or substantially preserving, the three-dimensional or volumetric integrity of the immobilized tissue. The device enables real time (RT) imaging-guided interventional (IGI) capabilities when the devices are coupled with medical imaging systems, such as magnetic resonance imaging (MRI) systems.

A bicycle management system is provided, comprising a mobile communication apparatus, a cloud end, a bicycle and an operation strategy center; wherein the bicycle includes a bicycle-mounted electronic apparatus; the operation strategy center is connected with the cloud end, and is used for providing a bicycle management strategy for the cloud end; the mobile communication apparatus establishes a communication with the cloud end through a wireless network, the cloud end establishes a communication with the bicycle-mounted electronic apparatus of the bicycle through the wireless network; wherein the mobile communication apparatus controls the bicycle via the cloud end; and the bicycle periodically reports its state information to the cloud end. A bicycle-mounted electronic apparatus and a bicycle including a bicycle-mounted electronic apparatus are also provided.

An optical information recording apparatus is suitable for detection of deviation between a strategy and a record pattern. Test record is performed on an optical recordable medium using a predetermined strategy. A binarization signal that is obtained by reproducing the test record result is counted. A pit length and a land length included in the binarization signal are specified using a histogram of the count result. A plurality of the reproduction patterns is searched and extracted from a record area based at least in part on the pit length and the land length. Deviation between a strategy and a record pattern formed by the test record is detected through comparison of the obtained reproduction patterns through the search.

Methods of the invention comprise methods and devices for nucleic acid sequence determination. Generally, the invention relates to preparing a substrate for sequencing a target nucleic acid.

The invention discloses an agent learning method based on knowledge guidance-tactical perception. In the environment of a two-party fight game, human knowledge is used to train an agent which fights with a specific tactical strategy through two stages of training. The method comprises the steps that 1) a game screen and the state of the agent are encoded to form a state feature; 2) a script with aspecific fight strategy is constructed by manually writing a script; 3) the agent fights with the script to collect the state and motion data of an opponent to carry out training in the first stage;4) the trained agent fights with a computer built-in AI, and training in the second stage is carried out through reinforcement learning; and 5) the learning framework is used to train the agent to participate in fight with specific tactics. The method provided by the invention is applicable to agent training in a two-party fight mode in a micro-operation environment, and acquires a good winning rate in the face of various micro-operation fight scenes.

The invention discloses an improved RCM analysis method, and a mechanical equipment integrity evaluation system based on the same. The improved RCM analysis method includes the steps: S1, dividing the boundary for an ocean platform mechanical equipment system, and the hierarchical structure tree for all the equipment; S2, determining the performance index of each equipment in the hierarchical structure tree layer by layer; S3, determining the importance evaluation index, and according to the importance evaluation index, performing importance evaluation on all the equipment, and dividing the equipment into important equipment and unimportant equipment; S4, determining the fault mode of the important equipment, performing FMECA analysis on the important equipment, and determining the fault reason of each important equipment and the influence; S5, establishing a maintenance logic decision graph, performing logic decision on the important equipment and the unimportant equipment, determining the maintenance method of the important equipment and the unimportant equipment, and generating a maintenance outline; and S6, according to the maintenance outline, making a maintenance scheme which can be directly implemented. The improved RCM analysis method introduces the mathematic model and algorithm into the overall analysis process to convert qualitative analysis into quantitative analysis so as to obtain a relatively more visual and accurate analysis result.

The invention belongs to the field of related technologies of industrial big data processing and discloses a Hadoop based intelligent sensing system and method for the health status of equipment. The intelligent sensing system for the health status of the equipment comprises a plurality of sensors, a Hadoop platform, a data management module, a data processing module, a status monitoring module, a service life monitoring module and a data visualization module, wherein the plurality of sensors are used for detecting status data of the equipment; the Hadoop platform is used for performing distributed processing on the status data; the data management module is used for importing and managing the status data; the data processing module is used for processing the status data and storing the processed state data in a classified manner; the status monitoring module is used for recognizing and predicting the status of the equipment; the service life monitoring module is used for predicting the service life of the equipment; the data visualization module is used for extracting the status data for visualized display.

The invention relates to a method for detecting mechanical characteristics of a circuit breaker. A control circuit of the circuit breaker supplies power by the aid of direct-current constant voltage, switching-closing coil current of the control circuit of the circuit breaker is detected, the action state of a switching-closing electromagnet is analyzed, and the mechanical characteristics of the circuit breaker are finally judged. The corresponding relation between voltage and current of the switching-closing electromagnet is expressed by a formula shown in an instruction, U refers to coil power supply voltage, R refers to coil resistance, L refers to coil equivalent inductance, the influence of the speed of an iron core on the current is further expressed by converting the formula, delta refers to an electromagnet air gap, and v refers to the change speed of the air gap, namely, the movement speed of the iron core. Compared with the prior art, the circuit breaker can be detected, all operation mechanisms of the circuit breaker are springs, the method can detect C-GIS switch incapable of being detected by traditional detection technology, maintenance labor and cost are saved, and on-site labor productivity is improved.

The invention discloses a strategy and charging control processing method, which comprises the following steps: whether the AF dialog is corresponding to more than two IP intercommunication access network IP-CAN dialogs is judged according to application function (AF) dialog information; according to the AF dialog information, the IP-CAN dialog information is obtained; the AF dialog and the IP-CAN dialog are bound; and according to the AF dialog information and the IP-CAN dialog information, corresponding strategy and charging control PCC rule of the more than two IP-CAN dialogs are generated. The invention also discloses a strategy and charging control system and a device. In the embodiment of the invention, operators are enabled to conveniently perform strategy and charging control on grouped data optimized by a router.

The invention discloses a comprehensive state evaluation theory method for new intelligent station relay protection equipment. The method comprises steps: a protection device is adopted as a monitoring platform for the device itself, the protection device is self detected, first parameters of the protection device and second parameters of a secondary circuit are acquired, and the first parametersand the second parameters are transmitted to a signal processing system, wherein the secondary circuit is used for monitoring the circuit where the device and the protection device are connected; andbased on the first parameters and the second parameters, state evaluation is carried out: an evaluation component and a scoring principle for the whole device are set, and the equipment in the relay protection device or an interval operation condition can be evaluated. When the method of the invention is applied, an intelligent closed loop management process of intelligent acquisition, risk earlywarning, state evaluation, maintenance strategy and measure management for state maintenance of the substation relay protection equipment can be realized, and the purposes of safe and reliable equipment operation and economic and reasonable maintenance can be achieved.

A method and a device are described for switching between at least two operating modes of a processor unit including at least two execution units for running programs, at least one identifier being assigned to at least the programs which differentiates between the at least two operating modes, and switching between the operating modes is performed as a function of the identifier such that the processor unit runs the programs according to the assigned operating mode.

The invention discloses an online state maintenance intelligent decision analysis device used for a relay protection device, and a signal processing method and an application thereof, and belongs to the field of application of the information technology of power systems. The online state maintenance intelligent decision analysis device used for the relay protection device comprises a data acquisition unit, a data adapter, a storage unit, a state evaluation unit, a warming detection unit, a maintenance decision-making unit, a guide unit, a guide configuration interface unit, a controlling unit, a universal algorithm module, an arithmetic configuration interface unit and a WEB page presentation unit. After the attribute information of the quantity of state of the relay protection device is collected in real time, the maintenance decision analysis and the warning detection to various protection devices in the power network can be realized through the universal state evaluation algorithm model in the independent module.

The invention discloses a mechanical arm action learning method and system based on third-person imitation learning. The method and system are used for automatic control of a mechanical arm so that the mechanical arm can automatically learn how to complete a corresponding control task by watching a third-party demonstration. According to the method and system, samples exist in a video form, and the situation that a large number of sensors are needed to be used obtaining state information is avoided; an image difference method is used in a discriminator module so that the discriminator module can ignore the appearance and the environment background of a learning object, and then third-party demonstration data can be used for imitation learning; the sample acquisition cost is greatly reduced; a variational discriminator bottleneck is used in the discriminator module to restrain the discriminating accuracy of a discriminator on demonstration generated by the mechanical arm, and the training process of the discriminator module and a control strategy module is better balanced; and the demonstration action of a user can be quickly simulated, operation is simple and flexible, and the requirements for the environment and demonstrators are low.

Methods and systems for providing scene data of a virtual world. One method includes the following steps: receiving a request for downloading the scene data from a content requesting party, where the request includes (i) information on an object group in the scene data and (ii) Level of Detail (LoD) information on an object in the object group, packing LoD content of the object in the object group based on the information on the object group and the LoD information on the object, and transmitting the packed LoD content corresponding to the object group to the content requesting party.

The invention discloses a multi-unmanned aerial vehicle motion planning method based on an artificial potential field method and MADDPG. According to the method, high-quality experience of successfully planning a plurality of unmanned aerial vehicles to a target through the artificial potential field method is added on the basis of the original multi-unmanned aerial vehicle exploration environment experience, through the MADDPG algorithm training, samples are collected from exploration environment experience and high-quality experience at a certain probability, state information and environment information of each unmanned aerial vehicle serve as input of a neural network, the speeds of the multiple unmanned aerial vehicles serve as output, training of a motion planning strategy is completed, the multi-unmanned aerial vehicle autonomous obstacle avoidance in a complex environment is realized, and the target position is safely and quickly reached. According to the method, the Q values of the multiple unmanned aerial vehicles in different states and different actions are fully learned, the robustness of the strategy is improved, an excellent strategy with higher adaptability and higher flexibility is trained, and the method has a good application prospect in a scene of cooperative motion planning of the multiple unmanned aerial vehicles.

The present invention is relative to a control method of a turbo-compound engine apparatus wherein said apparatus comprises a low pressure compressor connected to the high pressure turbine and a low pressure turbine connected to a high pressure compressor by means of a coupling unit. The apparatus also comprises first bypassing means of said high pressure compressor. The method according to the invention comprises the step of deactivating said first bypassing means when at least a specific condition occurs.

The invention discloses a webpage searching method, which comprises the following steps of: acquiring the feedback information of a user; and adjusting a search engine strategy according to the feedback information of the user, and carrying out webpage search according to the adjusted new search engine strategy. In the webpage searching method and a webpage searching system, a feedback information control which is selected by the user for a search result and the correction information of a keyword are acquired in real time by a browser window to acquire the feedback information, the search engine strategy is adjusted by analysis and comprehension according to the feedback information, and the search result is generated by re-selecting a webpage, so that the user can give a real-time advice for the search result during searching to obtain an ideal search result.

The invention discloses a structural vibration control method based on reinforcement learning, a medium and equipment. The method comprises the following steps: establishing a kinetic equation and a reward function of a controlled system; establishing and initializing a strategy network, a target strategy network, a value network and a target value network; establishing a playback pool; data interaction is achieved. Meanwhile, the control signal, the feedback signal and the reward signal are stored in a playback pool, the control signal, the feedback signal and the reward signal are provided for a reinforcement learning algorithm in a random sampling mode to update parameters of a strategy network and a value network, and a soft update mechanism is adopted to update parameters of a target strategy network and a target value network; obtaining a final strategy neural network as a controller; and deploying a controller, taking the feedback signal acquired by the sensor as the input of the neural network, and outputting a control signal after the forward calculation of the neural network to complete the control operation of the structural vibration. The invention provides a more intelligent control method for vibration control of a complex structure, and has excellent control performance and engineering practicability.

A system (1) for optimizing tank venting of a fuel tank (3) is presented. The system (1) has a temperature sensor (7), a closed-loop control unit (9) and a tank venting unit (11). The temperature sensor (7) is arranged directly in the fuel tank (3) and is designed to determine a current fuel temperature of a fuel (5) present in the fuel tank (3). The closed-loop control unit (9) is connected to the temperature sensor (7) and to the tank venting unit (11) and is designed to read out the current fuel temperature from the temperature sensor (7). The closed-loop control unit (9) is furthermore designed to control the tank venting unit (11) in accordance with the loading of the activated carbon filter, which in turn depends on the time profile of the fuel temperature.