70 results about "Artificial systems" patented technology

Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

The invention discloses a distributed spacecraft ground simulation system and a method for realizing same, belonging to the technical field of space flight and aviation. The invention aims at solving the problems that the configuration of the simulation platform of a prior distributed spacecraft is solidified and the expandability is bad. The invention adopts a one-dimensional rotational base air floated platform which is based on a plane two-dimensional parallel motion and is perpendicular to a parallel motion plane. By configuring a cooling air thrustor and a counteractive flywheel as an executing mechanism and configuring a high-precision optical fibre gyro, an x-axle accelerometer and a Y-axle accelerometer as a sensing component, the definition of a high-precision relative position and the standardization of an initiate posture can be realized by a high-precision local GPS positioning system, and other hardware systems can be configured according to different tasks, thereby forming a multi-spacecraft ground simulation system. The invention can realize the ground simulation multi-spacecraft system by configuring different practical hardwares or simulators according to the task of the spacecraft, thereby having strong expansion capability and applicability.

The invention belongs to the intelligent vehicle field and relates to a parallel intelligent vehicle control system based on ACP (artificial systems, computational experiments and parallel execution). The invention aims to realize the safe driving of driverless vehicles and decrease the manufacturing costs of the driverless vehicles. The control system includes a parallel control center and an actual vehicle and road system; the parallel control center comprises a calculation control center and an artificial vehicle and road system; the calculation control center collects vehicle driving parameters and traffic information from the actual vehicle and road system and collects relevant information from the Internet; and control strategies are obtained through calculation and experiments and are executed parallelly in the actual vehicle and road system and the virtual artificial vehicle and road system. According to the parallel intelligent vehicle control system based on the ACP of the invention, the intelligentialization of road side equipment is improved, and therefore, the security problem of the driverless vehicles can be solved, traffic efficiency and overall coordination degree can be improved, and the costs of the onboard equipment of the intelligent vehicles can be reduced.

Method and apparatus for situation-based management of natural and artificial systems using event correlation and a situation manager. Input is provided from multiple sources in the form of a collection of events. A first level of processing performs event correlation over the collection of events and infers new events and new qualities of events. A second level of processing manages situations based on the collection of events, where situations are recognized, maintained, and given a degree of confidence. Situations are periodically updated based on incoming events. The assertion of a situation may call for information from external sources, provide information for external sources, and provide control instructions to external sources. Given a current situation, past, and possible future situations are inferred. Additionally, a method and apparatus for bi-directional communication between the event correlator and situation manager.

The application relates to a set of artificial systm applied for site-specific alternation of rice genome basic group and a site-specific mutagenesis method. The artificial system comprises a I adjusting element and a II adjusting element; the I adjusting element comprises a nucleotide sequence capable of encoding an amino acid sequence I; the amino acid sequence I is selected from one of SEQ ID Nos. 1-6; the II adjusting element comprises a II-1 nucleotide sequence and a II-2 nucleotide sequence from 5' terminal to 3' terminal; the II-1 nucleotide sequence comprises a target nucleotide sequence; the II-2 nucleotide sequence comprises sgRNA nucleotide sequence originated from Streptococcus pyogenes; the II nucleotide sequence is transcribed and fused with the II-2 nucleotide sequence, and its product can guide the protein encoded by the I adjusting element to a target site to be mutated in the target biological genome, and induce and mutate C at the target site to be one of T, A and G, or G is mutated to be one of A, T and C.

The invention relates to an artificial climate system, and particularly relates to an artificial climate system for a soil-vegetation-atmosphere continuous system model test, belonging to the field of environmental geotechnics. The artificial system can simulate the natural change of climate environments such as wind, rain, illumination, temperature, humidity and the like. The artificial climate system consists of an artificial climate box body, a box body liner, a light source, a rainmaking device, an intelligent control system, a multi-channel converter, an airflow circulation system, a rainwater circulation system, a temperature/humidity regulation system, a CO2 and O2 regulation system, a climate parameter sensor group and a digital imaging system. The system can realize automatic feedback regulation of the rainfall intensity, the illumination direction and intensity, the wind speed and direction and the temperature and humidity. Meanwhile, by adopting a top-rotatable rainfall illumination integrated device, the problem of position overlapping of the rainfall device and the illumination device is solved, and the uniformity of the illumination intensity and rainfall intensity in the horizontal plane is guaranteed.

The invention provides a finished hybrid power automobile torque distribution system and method based on parallel control and relates to the field of hybrid power automobile control. The finished hybrid power automobile torque distribution system based on the parallel control consists of a real system and an artificial system, wherein the real system is responsible for driving of actual running of a real automobile, the artificial system is responsible for real automobile modeling and controller parameter optimization in a real automobile real-time running state and parallel execution. The real system consists of a sensor detection circuit, a signal conditioning circuit, a controller and a liquid crystal display. The artificial system consists of a sensor detecting circuit, a signal conditioning circuit and a computer processing system. The finished hybrid power automobile torque distribution system based on the parallel control is simple in structure, easy to achieve and high in reliability, improves the engine fuel utilization rate, reduces emission and effectively improves the actual running performance and working efficiency of the real automobile within a whole service life.

The invention discloses a virtual surgery simulation system based on force feedback and belongs to a virtual surgery simulation system. The virtual surgery simulation system based on force feedback comprises a single-degree-of-freedom manipulator, a control circuit and a power supply, wherein the single-degree-of-freedom manipulator comprises a manipulator, a moment motor, a position sensor, a force sensor, a motor supporting tray and a chassis; and the control circuit comprises a signal conditioning circuit, a data acquisition card, a collision detection module, a soft tissue deformation computing module, a display module, a feedback force computing module, a singlechip, a peripheral circuit of the singlechip and a motor drive circuit. The virtual surgery simulation system utilizes information feedback of various sensors to establish an environmental model which is interactive with operators and tasks through a human-computer interactive device, provides a direct-viewing and friendly human-computer interface, and has high operation precision and operation reliability, so that patients and the system are safe; and the operative process is displayed in real time, so that operation failure is reduced.

The present invention provides a self-service machine ground simulation system controller based on a SCM. The core hardware of the controller adopts AT89C52 as a controller chip, a SCM controller takes charge of the works including data reading of a coder, reading and distinguishing of key signals, choosing and reading of limiting signals, data processing, displaying and delivering of position and speed signals to a work controlling machine. The SCM controller takes charge of finishing the inspecting, the distinguishing and the alarming of simulator error protection signals and reporting the corresponding error signals to the work controlling machine. The work controlling machine mainly takes charge of the control rule resolving and the synthetical treatment of various states of signals for the self-service machine ground simulation system controller. The software of the controller adopts the modularized design idea and essentially comprises a main program module, an intermitting treatment module, an operation controlling module, a fault supervising and protecting module, a key treatment and display module and so on. The software of the controller can collect signals of the self-service machine ground simulation system real time, such as position signals, speed signals, key signals, offside signals, and fault protecting signals and so on, and unite the work controlling machine to control the self-service machine ground simulation system synthetically.

The invention relates to the field of intelligent power grids, in particular to an AI-based intelligent diagnosis method, a system and a device. The core of the method is AI + IoT. The method is composed of standardized and industrialized IoT edge computing hardware equipment and a customized AI module, and comprises the following steps: an acquisition unit of IoT equipment acquires power consumption data; the cloud platform trains an AI model according to historical data, the AI model is continuously and dynamically perfected according to new data, and an edge computing unit of the IoT equipment inputs acquired power consumption data into the trained artificial intelligence AI model to obtain related data. Real-time prediction of governance is achieved, the real-time monitoring level of abnormal standard exceeding of energy indexes is practically improved, and a previous working mode of semi-manual system detection and manual verification is changed into a full-automatic intelligent AI analysis mode. Finally, a brand-new software and hardware form of a cloud platform, edge computing equipment, an intelligent field terminal and an intelligent IoT chipset module is realized. A user-side energy system and a power distribution management system are redefined, and the age of software-defined energy is started.

The invention discloses an ACP-based parallel traffic signal light real time control method. The method includes steps of 1, constructing a traffic flow data collection system and a data base for an isolated intersection; 2, constructing an artificial signal light system; 3, importing real time traffic flow data collected by the data collection system to a computation test platform and obtaining a real time timing plan through computation; 4, loading a computation test result to an actual traffic signal light system through a parallel execution method so as to realize induction intervention on real time traffic flows; 5, constructing an intersection state evaluation system. Traffic light timing in the invention has the following characteristics. First, a time varying domain theory is applied to the computation test process and a membership function of a fuzzy set is subjected to real time adjustment according to periodical change. Second, the timing scheme in the invention is real time and the timing period and time lengths of different phases adapt to conditions of the traffic flows. Third, system decision efficiency is improved through computation test of the artificial system.

The invention relates to a method for improving the frequency spectrum signal-to-noise ratio of a tera-hertz optical detection system. According to the method, a space optical modulator is added into the tera-hertz optical detection system for conditioning pumping light, so that the generated tera-hertz spectrum is centralized to the frequency band with the concentrated sample absorption peaks so as to improve the definition and the signal-to-noise ratio of the tested sample characteristic spectral lines; the data accurate rate is ensured; convenience is provided for later-period data analysis. Compared with the existing method for improving the signal-to-noise ratio, a space optical modulator is regulated through a computer optimization algorithm; the influence on an experiment result due to other interference factors caused by artificial system regulation is avoided. The method belongs to a method for conveniently, fast and efficiently obtaining the high-signal-to-noise-ratio and high-precision tera-hertz frequency spectrum.

The invention relates to a parallel intelligent emergency cooperation method and a system, and electronic equipment. The method comprises the steps of establishing an artificial system model based onvisual space-time fusion, and performing cross-video geographic intelligent fusion analysis-based personnel group perception and evacuation passage passing state detection on a to-be-evacuated space through the artificial system model; constructing a three-dimensional virtual simulation environment of the to-be-evacuated space, constructing a multi-agent evacuation simulation model based on personnel distribution based on historical disaster environment simulation and danger degree situation analysis, performing evacuation simulation through the multi-agent evacuation simulation model, and generating an optimal evacuation scheme prediction result; and establishing a parallel execution cooperation system based on real-time monitoring and augmented reality visualization to perform deductionsimulation and dynamic evacuation simulation, and generating an optimal evacuation scheme in combination with a prediction result of the calculation experiment system. Through a virtual-real interaction mode and cooperative evolution, the problems of emergencies, instability, nonlinearity and uncertainty in a real system are solved.

The invention provides an artificial intelligence method and system for calculating geological parameters by utilizing logging-while-drilling data. Big data pre-processing is carried out through a software-defined artificial system; data learning of predictive learning and ensemble learning is included; indicative learning of data action guidance is realized based on a Merton's law; by means of amulti-branch synchronous learning system and method, exploration on logging data over time is solved by utilization of machine predictive learning; exploration on the logging data in terms of spatialdistribution is solved by utilization of ensemble learning; and the generation direction of geological parameters to be calculated is solved by utilization of indicative learning. According to the artificial intelligence method and system provided by the invention, geological parameter calculation is carried out through downhole logging data; therefore, stratigraphic structure parameters and electrical parameters capable of describing the geological occurrence are obtained; the data transmission amount in a drilling process can be greatly reduced; simultaneously, geological information reflected by the logging data is visual and quantitative; and thus, the artificial intelligence method and system have the important significance for geological orientation and logging interpretation.

The invention provides a method for evaluating regional customers. The method comprises the steps that customer information in a prospective region is obtained regularly, wherein the customer information comprises attribute data and network behavior data of the customers, and the prospective region at least comprises one region; the customer information in the prospective region is subjected to clustering analysis; the customers in the region are evaluated according to clustering analysis results. Compared with the traditional method that an artificial system is adopted to determine commodity suppliers and purchase commodities, the method is more timely and accurate; moreover, since analysis is conducted according to objective network data, the analysis method and system are more scientific and reasonable.

This invention relates to a novel class of hybrid lipid compound based on pentaerythritol, their intermediates, preparation methods and uses thereof. Different kinds of functional groups such as alkyl chain, siloxane group, azobenzene, porphyrins, cholesterol, benzene ring and carboxyl were introduced into the four hydroxyl groups of pentaerythritol through chemical reaction to obtain the final hybrid lipid compounds based on pentaerythritol. Cerasomes prepared from such lipids have uniform size, silicate network surface, good stability and biocompatibility, and the leakage of drugs is not easy. The present liposome can be used as functional materials such as drugs or drug carriers, or used for optical storage and molecular devices, simulation, design and synthesis of artificial systems, nano-composite membrane materials and the removal of organic pollutants, etc., in addition, the preparation method of the present invention is simple, and it is easy for industrial production.

The present invention provides a method for recording and managing information on a machine motherboard chip. The method is used when the machine leaves the factory and/or when the machine is managed. The method specifically includes the following steps: S100. The machine is powered on and enters the DOS system; S200. Enter the reading and writing state of the mainboard chip of the machine, write the relevant information and/or serial number of the machine directly on the BIOSO chip of the mainboard and save it; S300. Utilize the desktop management interface (DMI) to query the relevant information of the mainboard, and Including CPU, memory, I/O expansion slot and other information; S400. Users can directly read the above-mentioned information of the BIOS chip of the motherboard under the state of the operating system they use. The method provided by the present invention can quickly and accurately locate and query asset information: only the commonly used commands of the operating system or simple general-purpose detection software can be accurately read and cannot be artificially changed, and this information will not be abnormal or artificial. Factors have changed to facilitate the management and maintenance of assets by managers.

The invention relates to an intelligent plunger control device and method. The intelligent plunger control device comprises a ground controller and an intelligent plunger device. Charging communication modules and sensor assemblies are arranged in the intelligent plunger device. Clamping fixing parts and mechanical sealing parts are arranged on the outer side wall of the intelligent plunger device, and the mechanical sealing parts are located below the clamping fixing parts. A motor and a motor transmission rod are further arranged in the intelligent plunger device, and the motor is connectedwith the motor transmission rod and further connected with the charging communication modules. According to the intelligent plunger control device, the automatic control process is formed by the cooperation of the ground controller and the intelligent plunger device, therefore, the problem that control parameters need to be continuously examined and adjusted by workers in the liquid drainage process is solved, the lifting liquid drainage efficiency is improved, and the automatic control process overcomes the defect that due to the fact that the artificial system arrangement is not reasonable,the water flooding problem and the production stop problem exist.

The invention provides a rapid cultivation method for a vitis sinocinerea caulerpa reproductive shoot. The rapid cultivation method comprises the following steps: cutting a stolon of 8-10cm as a reproduction mother twig from an end part of a grape caulerpa stolon; burying the reproduction mother twig into sand; covering the shade of a cultivation area with black sunshade net, keeping the light intensity of the cultivation area lower than 1000 lux, keeping the water temperature of the cultivation area to be 28-30 DEG C, and feeding shellfish with plankton feeding habit; applying phosphorus-containing nutritive salt, and when the rhizoid length is greater than 18cm, turning over the sand to collect rhizoid; inserting the collected rhizoid into sand, keeping the light intensity be 1500-2500 lux, and cultivating for 100-120 hours at the water temperature of 25-28 DEG C. By the adoption of the technical scheme of the invention, the vitis sinocinerea caulerpa reproductive shoot can be rapidly cultivated by using an artificial system, and the growth rate and the unit area yield are increased.

Method and system for the detection of anomalous behavior in systems displaying typical and complex behavior encoded in a digital signal through the study of a computational model (artificial system) of interacting agents defined using the information contained in the digital signal and imposing that agents engage in a maximally frustrated dynamics. Changes in the target system's behavior lead a measurable decrease in frustration of the artificial system, from sequences never presented before during the system's normal behavior or combinations of already presented sequences never seen together.

A system and method for automatically tagging customer messages using artificial intelligence models features a computer network, user computational device, database for storing customer messages, and server gateway in communication with the user computational device through the computer network (i.e., internet) and the database. The server gateway features an artificial system for processing, analyzing, and tagging customer messages.

A user supplies customer messages by using the user computational device, which communicates with the server gateway. The server gateway processes the customer messages and sends them to the artificial intelligence system for analysis. The artificial intelligence system then analyzes these customer messages to determine the content by tagging words and phrases with industry specific tags (e.g. product feedback, product defects, shipping delays, etc) as well as tags based on sentiment type (e.g., negative, positive, neutral, sarcasm, mixed) and contact type (e.g., delivery person, influencer, postsale, presale). The artificial intelligence system returns the tagged results, which are displayed on the dashboard of the user computational device or exported to another system for visualization.