8060 results about "Intelligent equipment" patented technology

This relates to systems and processes for using a virtual assistant to arbitrate among and/or control electronic devices. In one example process, a first electronic device samples an audio input using a microphone. The first electronic device broadcasts a first set of one or more values based on the sampled audio input. Furthermore, the first electronic device receives a second set of one or more values, which are based on the audio input, from a second electronic device. Based on the first set of one or more values and the second set of one or more values, the first electronic device determines whether to respond to the audio input or forego responding to the audio input.

A system and a method is provided for the detection and capture, and in particular for an ultra high speed detection and capture, of transients in input voltages by an intelligent electronic device. The system and method detects transients for input voltages in either phase to phase or phase to neutral measurements and permits a user to set threshold levels for detecting transients in input voltages. In an embodiment, the system and method further provides a field programmable gate array as a controller for managing transient detection. The field programmable gate array includes a state machine for determining the state of the sampled signal with respect to a threshold level at a specified waveform sample period.

Systems and methods of managing a network of intelligent devices in communication with a server are disclosed. For each intelligent device that is part of a network a client process associated with the device issues a query to the device causing the issuance of a query to the server for instructions. In a controllable response to the query as a result of the client process the server causes at least one of: (i) downloading, for storage local to the device, at least one of data and instructions, for use in association with the device and (ii) uploading of data pertinent to the device.

The invention discloses a target detection algorithm based on intelligent equipment sensor data fusion and deep learning. Through fused radar point cloud data and camera data, data feature types capable of being sensed by a detection model are enriched. By performing model training on data channel fusion with different configuration, optimal channel configuration is selected, detection accuracy isimproved, and meanwhile calculation power consumption is lowered. By performing a test on real data, the channel configuration suitable for a real condition is determined, and the goals of processingfusion data by use of a Yolo deep convolutional neural network model and performing target barrier detection on a road scene is achieved.

The invention discloses an intelligent industrial security cloud gateway equipment system and method. The industrial cloud security gateway equipment and method is characterized in that upper cloud data is encrypted and added with data classification identifiers and time stamps, and decryption, security scanning and multiple security authentication access control are carried out on data on downlink intelligent equipment, so that interconnection, protocol conversion, and multi-directional transparent and real-time transmission among cloud equipment, enterprise datacenter equipment and various intelligent equipment on an industrial field can be achieved. An intelligent industrial cloud security gateway is embedded intelligent equipment comprising various serial ports, communication interfaces for a field bus and field intelligent equipment such as the industrial Ethernet, communication interfaces for wireless mobile communication and wired Internet cloud equipment, wireless or wired local area network interfaces for Bluetooth, broadband and the like, an Ethernet switch, a GPS module, and embedded software. The intelligent industrial cloud security gateway can systematically prevent user data leakage and network virus attacks, is core equipment of a secure and reliable intelligent industrial cloud service system, and can serve intelligent industrial manufacturing.

The invention provides an intelligent device and a control method. The intelligent device comprises a first sound collection unit, at least one second sound collection unit and a control device, wherein the second sound collection unit is provided with a working state and a non-working state, when at least one second sound collection unit stays at the non-working state, the first sound collection unit stays at the working state; and the control device is used for controlling at least one part in the at least one second sound collection unit to stay at the working state under the situation that a sound signal meets a predetermined condition. The control method comprises the steps of collecting the sound signal through the first sound collection unit when the at least one second sound collection unit stays at the non-working state; and controlling at least one part in the second sound collection unit to stay at the working state under the situation that the sound signal meets the predetermined condition.

The invention discloses an SVM classification model-based equipment fault diagnosing method. The method comprises the following steps: performing a preprocessing operation on equipment data; constructing a fault diagnosis case knowledge base; performing fault diagnosis on a support vector machine on the basis of an SVM classification model; acquiring fault information and performing maintenance guide. According to the support vector machine-based intelligent equipment fault diagnosis method, the fault features of equipment are highlighted to the maximum degree; the situations that the equipment data are incomplete and inaccurate are reduced; the possibility is provided for constructing an accurate and reliable fault diagnosis model; the problem that the diagnosis model ages along with the operating time of the equipment is solved; the misdiagnosis rate of the fault diagnosis is reduced; the accuracy and the speed of the equipment fault diagnosis are greatly improved.

A method for selectively providing access to voice and data networks by use of intelligent hardware. The present invention provides security measures for controlling access to a network connection. An electronic device communicatively coupled to intelligent hardware initiates a request to access a network. The request is received at the intelligent hardware communicatively coupled to the network and configured to allow access to the network according to predetermined criteria. Provided the request satisfies the predetermined criteria, the electronic device is provided access to the network. The predetermined criteria may include placing geographic restrictions (e.g., the room the port is located in), temporal restrictions (e.g., weekend or nighttime restrictions), and user class restrictions (e.g., visitor restrictions or low-level employee restrictions) on specific ports of the intelligent hardware. In one embodiment, a central control site manages the predetermined criteria. In one embodiment, the present invention controls access to a corporate Intranet. In one embodiment, the intelligent device has specific access port serial number. The present invention provides a method of easier management of information systems.

The invention provides a remote service device, a system and a method of intelligent equipment, and the method comprises that a cloud terminal communication server acquires operation state information of the intelligent equipment; a data processing server collects the operation state information in real time, determines a working state of the intelligent equipment according to the operation state information, and triggers a remote diagnosis service signal corresponding to an abnormal state when the abnormal state of the intelligent equipment is determined; a service processing server carries out remote diagnosis to the intelligent equipment according to the remote diagnosis service signal, uploads a diagnosis result to a display interface and triggers a fault repair service corresponding to the diagnosis result; and a dispatching management server dispatches corresponding management resources according to the demand for the fault repair service in order to realize fault repair. The remote service device, the system and the method of the intelligent equipment can diagnose and maintain faults of the intelligent equipment, realize rapid networking, the fault diagnosis and remote services of the intelligent equipment, increase after-sales serving efficiency of the intelligent equipment with the faults and provide better experience to users.

A hopping mesh network is described that employs two or more disparate media to connect multiple intelligent devices into a network capable of passing high-speed data. Each intelligent device is able to select the most appropriate media based on the data to be used to transmit the media, and may switch data between disparate media as necessary during the transmission of the data. Each media is configured to contain multiple channels which are also used by the intelligent devices to transmit data on the network. A generic, protocol-neutral wrapper can also be used in the hopping mesh network to allow transmission of multiple protocols without the need for conversion between protocols.

The invention provides a man-machine motion interaction system and method based on expression recognition. The system comprises an image acquisition module, an image processing module, an expression recognition module, a man-machine interaction module and a storage module. The image acquisition module acquires a facial image; the image processing module processes the acquired facial image for graying, size adjustment and the like; an expression in the facial image is recognized by means of expression recognition; the man-machine interaction module feeds back to a user according to the facial expression; the statistical and storage module analyzes mental state of the user at this moment and records the mental state; meanwhile, a statistical query function is provided for the user. After applied to intelligent equipment, the system is capable of providing specific humanized responses so that the equipment can be more intelligent; when applied to mental care robots, the system is capable of capturing patients' expressions to allow for simple and effective communication with patients, so that the patients with mental illnesses can be supervised safely in real time, and effective data basis for treatment is provided for doctors.

The invention relates to the technical field of intelligent equipment of the facility agriculture, particularly to an automatic spraying robot for a greenhouse, which comprises a track traveling component, a liquor spraying component fixed on the track traveling component and a control unit connected with the track traveling component and the liquor spraying component respectively, wherein the track traveling component comprises a driving device and track wheels; the track wheels travel on a group of tracks; the control unit is used for automatically controlling the traveling of the track traveling component and the spraying of the liquor spraying component. According to the automatic spraying robot for the greenhouse, provided by the invention, the track wheels are taken as supports, and travel on the tracks, all that is needed is to pave tracks on the ground, and a support frame is not needed to be erected, so that the cost is low, and the automatic spraying robot can be applied in a small-sized greenhouse; besides, the track automatic traveling manner has stronger adaptability to uneven pavements inside a greenhouse, and the robot can travel on a concave-convex ground well, so that the smooth traveling of the robot is guaranteed.

The invention provides an electricity-saving control method of a wearable intelligent device. The method includes the following steps that the wearable intelligent device is set to be in a real-time mode when a service App is started and a foreground works; the wearable intelligent device is set to be in a normal mode when the service App is stopped and a background works; in the real-time mode or the normal mode, the wearable intelligent device acquires current time and position information, and whether heart rate data are found or not is detected; when it is judged that the current time is in the preset sleeping time segment, the position information does not change and the received heart rate data are normal, the wearable intelligent device is automatically switched into a sleep electricity-saving mode; when it is judged that the current time is not in the preset sleeping time segment or the position information changes, the wearable intelligent device is automatically switched into the normal mode from the sleep electricity-saving mode. The invention further provides the wearable intelligent device. Through the method, the power consumption of the wearable intelligent device can be reduced, and the stand-by time can be effectively prolonged.

A system, method and apparatus for real time measurement and monitoring of various personal health parameters including controlled delivery of drugs/medications by intelligent pump appliances, intelligent inhalation appliances and intelligent skin patch appliances used in a standalone manner or in a wired or wireless networked configuration, in conjunction with various peripheral devices, other intelligent appliances, servers, RF ID Tags and stationary/mobile devices. The intelligent appliances relate to the measurement, monitoring and delivery of insulin/other drugs for the treatment of diabetes and other diseases. The method also additionally includes the application of intelligent appliances for pain management including visualization of organs and body locations exhibiting pain.

The invention provides an equipment evaluation and federated learning importance aggregation method based on edge intelligence, which comprises the following steps of cloud server initialization: generating an initial model by a cloud server, equipment evaluation and selection: receiving resource information of terminal equipment by an edge server, generating a resource feature vector, and inputting the resource feature vector to the evaluation model, local training: after the edge server selects the intelligent equipment, sending the transferred initial model to the intelligent equipment, andenabling the intelligent equipment to carry out local training on the initial model in federated learning to obtain a local model, local model screening: sending the local model to an edge server, and judging whether the local model is an abnormal model or not by comparing the loss values of the local model and a previous round of global model, and global aggregation: performing global aggregation by using a classical federated average algorithm. According to the method provided by the invention, on one hand, the training bottleneck problem with resource constraint equipment is solved, and onthe other hand, the model aggregation effect is improved so as to reduce redundant training and communication consumption.

The invention discloses a data authentication method, which can be used for realizing the data authentication process of a mobile terminal. The method comprises the following steps that sensitive data to be processed and data processing instructions sent by intelligent equipment are received in an NFC (near field communication) mode; the sensitive data to be processed is subjected to the data processing operation corresponding to the data processing instructions, authentication result data is generated, and the data processing operation comprises the data encryption and decryption, data signature authorization and data verification; the result data is sent to the intelligent equipment in the NFC mode. The invention also discloses a data authentication device.

The invention relates to a novel system and a method for distributed grid supercomputing, which establish globally distributed applications in an organized mode and focus on supercomputing capacity to form an architecture, thereby forming a computing grid consisting of heterogeneous distributed computer systems, implementing communication and computer networks and providing an effective mode for using the prior unorganized internet architecture. The distributed network consists of the fat clients of different operational levels in a network architecture and establishes a communication replacement proposal applicable to the internet, enterprises and social communication framework according to the network standards of a credit expansion grade layer. The system and the method use a NetAlter manager to realize the communication of distributed networks and control the activities and computing of the networks in a plurality of modes such as a point-to-point mode, an off-line mode, an on-line mode and an intelligent equipment mode. The novel system and the method for distributed network supercomputing completely overcome the drawbacks of the prior internet architecture and point-to-point technology and grid computing.