195results about How to "Status accurate" patented technology

The invention provides a multi-path sensor data fusion method and system. According to the invention, the method for determining the state of a movable device includes the following steps: if second sensor data acquired in the second sensor system is no available or is not updating, based on first sensor data acquired by a first sensor system, determining the prediction state of the movable device; if the second sensor data acquired by the first sensor system is available or is updating, based on the second sensor data, determining the first observation state of the movable device; based on first difference between the first observation state and the prediction state, determining whether to update the state of the movable device based on the first observation state, wherein the first difference is intended for indicting whether the second sensor data is available.

here is provided a method for determining a road surface state which can accurately estimate the road surface state on which a vehicle is running at one of finely classified road surface states based on a sound detection signal from a ground contact surface sound detection unit for detecting a sound in the vicinity of the ground contact surface of the tire of the running vehicle.

The method calculates a wave profile of frequency dispersion by executing a 1/N octave analysis of a detected sound signal from a sound detection unit 20 for estimating a road surface state. The state of the road surface on which the vehicle is running is determined whether the calculated wave profile of frequency dispersion satisfies predetermined determination conditions of the respective road surface states. A microphone housed in a container is used to detect said sound, and the determining step is adapted to apply the determination conditions to the measured wave profile including a resonance caused by the container.

A control circuit for controlling an electromechanical elevator brake is disclosed. The control circuit includes at least one brake coil (L1), a direct-voltage source (BR1), a semiconductor switch arrangement, a current measuring unit, at least two semiconductor switches, and a control unit (CO1) for controlling operation of the circuit. The current measuring unit (Lm1) produces current data that is passed to the control unit (CO1). The at least two semiconductor switches (SW1, SW2) are controlled by the control unit (CO1) such that operation is alternated between the two so that the working condition of each switch can be checked in its turn on the basis of feedback data obtained from the current measuring unit.

The invention provides a parking spot state detection method and device. The method comprises the steps that current standard background magnetic field data are confirmed, by collecting current magnetic field data, history magnetic field data and the current standard background magnetic field data in real time, current background magnetic field data are confirmed, by means of the disturbance state of the current magnetic field data and the departure degree of the current magnetic field data and the current background magnetic field data, first state information is confirmed, when the first state information is that a parking spot has no car or a car is driving into the parking spot, the parking spot which has no car at present is confirmed, and when the first state information is that a parking spot has the car or the car is driving in the parking spot, the parking spot which has the car at present is confirmed. The first state information is confirmed according to the current magnetic field data and the current background magnetic field data, a chain misjudgment caused by an accidental misjudgement cannot occur, and the first state information is rich due to the fact that the first state information has information that the parking spot has no car, the parking spot has the car, the car is driving into the parking spot and the car is leaving the parking spot, and the parking spot state confirmed by the first state information is accurate.

The invention belongs to the signal processing field, and provides a Zen meditation feedback training method and device based on electroencephalogram; the method comprises the following steps: parsing brain waves emitted by a Zen meditator, thus real time obtaining a meditation status model of the Zen meditator; using the brain waves emitted by the Zen meditator as the input of the meditation status model, and outputting the status of the Zen meditator; returning guidance opinions to the Zen meditator according to the outputted status. The method and device can accurately parse the status of the Zen meditator, thus providing guidance opinions and means with pertinency for the training of the Zen meditator.

The invention provides a method for road one-way restriction and traffic state identification based on floating car technology, which is characterized in that a larger number of floating cars equipped with GPS and other vehicle-mounted positioning systems periodically acquire and then return the information related to automobile number, position, direction and speed to a data center in the process of traveling, the information is filtered to obtain road traffic data and extract a dynamic first characteristic factor of road one-way restriction and traffic, the system performs data digging on a road traffic database simultaneously in order to obtain a statistical second characteristic factor of road one-way restriction and traffic in relevant time window, and the system can identify the road one-way restriction and traffic state automatically by matching the first characteristic factor with the corresponding second characteristic factor. The method of the invention can provide dynamic and accurate information related to the change of road one-way restriction and traffic state for various traffic information service systems, has the advantages of low cost in acquiring information and timely and reliable information updating, and is significant to various traffic information service systems.

The application discloses a neighbor state detection method and a neighbor state detection device in an EVI (Ethernet Virtualization Interconnection) network, wherein the method includes the following steps: aimed at each neighboring ED (Edge Device) in an EVI instance, a local ED acquires the related information of the EVI Link between the local ED and the neighboring ED, generates a BFD (Bidirectional Forwarding Detection) message and encapsulates the BFD message into an EVI message according to the related information; the related information includes IP (Internet Protocol) addresses of both ends of an EVI channel corresponding to the EVI Link; according to the IP address of the EVI channel on the neighboring ED, the local ED finds out a corresponding outbound interface in a local routing and forwarding table, sends the EVI message via the found outbound interface and starts a timer at the same time; if an EVI message encapsulating a BFD message actively sent to the local ED by the neighboring ED is not received after the time of the timer is out, then the state of the neighboring ED is determined as a DOWN state. In the application, the state of the neighboring ED, which is detected by the way of BFD linkage, is accurate.

In an ink cartridge (liquid container) 1 of the invention, an ink delivery port 17 that connects an ink supply needle 15 of a cartridge holder 110 to an ink containing chamber 7 is disposed at an substantially central position in a shorter side direction of a container front surface 3a. Two positioning portions 13 and 14 that fit to positioning pins 11 provided at two places in the cartridge holder 110 so as to position a container main body 3, a pressurized air introduction portion 21 that connects a pressurized air supply path 19 of the cartridge holder 110 to a pressure chamber 5, and a data storage unit 25 that is connected to a connection terminal 23 of the cartridge holder 110 are disposed toward one side in a shorter side direction of the container front surface 3a with respect to the ink delivery port 17.

The invention relates to a health life behaviour management system and method based on a mobile terminal. The health life behaviour management system comprises wearable equipment and further comprises the mobile terminal, a data receiving server, a data management server, a data processing server, an information publishing server and a database, wherein the data receiving server, the data management server, the data processing server and the information publishing server are at a cloud side; a narrow-band wireless data link is established between the wearable equipment and the mobile terminal through short-distance wireless transmission; a broadband wireless data link is established between the mobile terminal and the data receiving server through long-distance wireless transmission; a bidirectional data link is established between the database and each server respectively; an original data transmission link is established between the data receiving server and the data processing server; a processing data transmission link is established between the data processing server and the information publishing server; and a control data transmission link is established between the data management server and the data receiving server. Numerous individual users can be served when the efficiency is high; and abundant functions, such as an online doctor consulting function, a relative and friend binding function, an emergency call function, a real-time locating and tracking function and a health product purchasing function, can be provided.

Disclosed is a method of measuring a state of a drone. The method of measuring the state of the drone in a state in which a plurality of drones and a ground control station (GCS) are connected through a wireless network includes measuring, by a first drone, its own state based on collected information, requesting, by the first drone, a second drone or the GCS connected through the network to provide correction information and receiving the correction information from the second drone or the GCS, and comparing, by the first drone, information about the measured state with the received correction information, analyzing an error, and correcting the error.

The invention discloses an intelligent component for an oil-immersed transformer. The intelligent component comprises a cooling device control intelligent electronic device (IED), an on-load tap-changer (OLTC) control IED, a non-electric quantity protection unit, a merging unit, a comprehensive measurement IED, an oil chromatography and micro-water monitoring IED, a local discharge monitoring IED, an iron core grounding current monitoring IED, an acoustic fingerprint monitoring IED, a transformer bushing insulation monitoring IED, a winding temperature monitoring IED, an OLTC monitoring IED, a first communication network, a second communication network and a transformer monitoring master IED. According to the intelligent component, aiming at the particularity of the oil-immersed transformer, comprehensive information acquisition is performed, so that the state of the oil-immersed transformer can be monitored and controlled accurately and quickly.

The image pickup apparatus includes a first detection unit detecting information corresponding to an object distance in each of plural areas, without through an image taking optical system, a second detection unit detecting a size and a position of a specific object area in object image data, and a controller performing focus control of the image taking optical system on the basis of the information corresponding to the object distance. The controller acquires specific object distance information on a distance to a specific object, on the basis of the size of the specific object area and information on a focal length of the image taking optical system, and selects, from the plural areas, an area where the information corresponding to the object distance to be used in focus control is detected, on the basis of the specific object distance information and the position of the specific object area.

The invention discloses a multi-source information fusion bearing fault prediction system and method, and the technical scheme is that the system comprises a multi-source information collection systemand a fault prediction system, and the multi-source information collection system is used for obtaining the multi-source information of a full-life-cycle operation state of a bearing, and comprises aplurality of sensors installed on the bearing; the fault prediction system comprises a database, a data processing module, a state monitoring module and a fault prediction module, the database is used for storing data acquired by different sensors, and the data processing module is used for processing original signals acquired by different sensors; the state monitoring module is used for displaying data in real time, and the fault prediction module can train the processed data to obtain a fault prediction result. According to the invention, the bearing operation full-life-cycle state can be obtained, multiple state signals of the bearing are collected and analyzed at the same time, the fault feature recognition rate is improved, and the model prediction accuracy is improved.

Apparatus and methods are described providing improved surgical and similarly invasive procedures. The components may be used individually or collectively as a system. They consist of new apparatus for insertion of transducers and transducer arrays into the body cavity, apparatus and procedures for controlling pressure differential between the body cavity and the atmosphere, imaging techniques to combine the now available real-time images with pre-procedure imaging, and robotic placement techniques that when combined with all of the above provide improved surgical and medical procedures.

The embodiment of the invention discloses a battery detection method and device. Detection data and standard data of a target battery are acquired, present electrochemical data can be calculated according to the detection data and reflects present electrochemical characteristic of the target battery, standard electrochemical data is calculated from the standard data and represents standard electrochemical characteristic of the target battery, the present electrochemical data is compared with the standard electrochemical characteristic to obtain a first comparison result, and a detection resultof the target battery can be determined according to the first comparison result. The present electrochemical characteristic which can reflect the target battery can be obtained according to detection data, so that whether the target battery is abnormal can be determined in the electrochemical aspect, and due to the fact that the electrochemical characteristic serves as a fundamental characteristic of the battery, the battery state determined according to the electrochemical characteristic is more accurate and has a higher prediction role, and the performance of the target battery is detectedmore comprehensively.

The invention discloses a pond-cultivation automatic control system. The system comprises a cultivation environment monitoring module, a controller, a server and pond cultivation production equipment. The cultivation environment monitoring module is used for collecting cultivation environment parameters in real time and uploading to the server through the controller. The server comprises a data processing module and a decision support module. The data processing module is used for comparing cultivation site information with cultivation reference data. The decision support module is used for generating a scheduling control instruction according to a data analysis result acquired by an information processing module. The controller drives the pond cultivation production equipment to complete automatic cultivation control. In the system, an automation precision control technology is used to realize automatic pond cultivation control so that cultivation labor cost can be effectively reduced, energy fodder wastes are reduced and water product quality is increased.

The invention discloses an industrial control network situation assessment method. The related industrial control network equipment comprises a security gateway, a programmable logic controller, fieldsensor equipment, a security management platform and an engineer station, the method comprises the following steps that: S1: an engineer station configures and operates an industrial control system,PLCs (Programmable Logic Controller) in each area identify controlled equipment connected with IO (Input/Output) modules of the PLCs, and match an information list of the controlled equipment to forma periodic communication mode of a master station and a slave station; S2, the PLC feeds data information back to the security gateway in real time; a data packet deep analysis system of the securitygateway extracts data characteristics, removes redundant attribute characteristics, and only leaves characteristics related to a system behavior mode, including data characteristics based on a communication protocol, state information of a programmable logic controller, industrial control network system state information and network flow characteristics; and S3, the industrial control network situation assessment model carries out situation assessment on the system and forms an assessment result.

The invention relates to a method based on CTC (centralized traffic control) station yard graph graphic elements and used for setting temporary speed restriction of a high-speed railway. The method comprises steps as follows: 1), a starting point and an ending point of temporary speed restriction are selected according to selection of graphic elements of a block section of a station yard graph; 2), a CTC system receives an input speed limit value and sends a speed limit storage command to a train control system; 3), the condition that the speed limit state is stored is fed back to the CTC system by the train control system; 4), the condition that the speed limit state is stored is displayed on the station yard graph by the CTC system; 5), the CTC system issues a speed limit checking command to the train control system; 6), the condition that the speed limit state is checked is fed back to the CTC system by the train control system; 7), the condition that the speed limit state is checked is displayed on the station yard graph by the CTC system; 8), the CTC system issues a speed limit executing command to the train control system; 9), the condition that the speed limit state is executed is fed back to the CTC system by the train control system; 10), the condition that the speed limit state is executed is displayed on the station yard graph by the CTC system. Compared with the prior art, the method has the advantages of visual and concise operation, high system security and the like.

The invention discloses an early diagnosis method for faults of a strip steel tension sensor. The early diagnosis method comprises the following steps: (1) obtaining strip steel tension sequence data and standardizing; (2) carrying out adaptive EMD (empirical mode decomposition) on the standardized strip steel tension sequence data; (3) carrying out multi-feature extraction and combination on the strip steel tension sequence data, namely calculating multiple feature vectors of each decomposition amount of the strip steel tension sequence data, combining the feature vectors, and describing the global feature of a strip steel tension time sequence in multi-scale adaptive decomposition; (4) carrying out SVM (support vector machine) classifier training, namely selecting part of global feature data as a training set for SVM classifier learning to obtain an SVM classifier model used for identifying a state of the tension sensor; (5) carrying out offline test and online application. The early diagnosis method can be used for timely finding and removing the early faults of the tension sensor to guarantee normal running of a strip steel tension measurement and control system, and can be widely applied in the technical field of strip steel production.