8083 results about "Intelligent equipment" patented technology

A system and method for monitoring photovoltaic power generation systems or arrays, both on a local (site) level and from a central location. The system includes panel and string combiner sentries or intelligent devices, in bidirectional communication with a master device on the site to facilitate installation and troubleshooting of faults in the array, including performance monitoring and diagnostic data collection.

An integrating device 200 for supporting one or more devices 207 capable of delivering mass, energy and / or information to occupants localized to a sub-area of a room is combined with sensors 212 capable of detecting occupants within one sub-area or another and processor 206 which correlates the coordinates of the occupants to those of the delivery devices 207 and a controller 206 that drives the specific sub-area device to provide a localized delivery of services such as lighting, heating, cooling, sound and video, intercom, noise cancellation systems, information, entertainment content, connectivity to the internet or social media, and light therapy in an automatic process based on the detected instantaneous needs of the occupant for services.

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.

The present invention provides a device and method for managing fault detection and isolation in voice and data networks. Specifically, the present invention is a device and method for fault detection and fault isolation that can be used to validate connectivity of a central site to a number of connected client devices. The present invention operates stage by stage, working from the central site back to a connected client device. The present invention can be controlled from a central maintenance station and as such does not require direct user enabling. In one embodiment, the present invention provides an intelligent device (e.g., an intelligent data concentrator) for coupling an electronic device to a network comprising a first interface for communicatively coupling the intelligent device to the network and a second interface for communicatively coupling the intelligent device to a plurality of client devices such that the client devices are communicatively coupled to the network. The intelligent device also comprises means for processing and interpreting data coupled to the first interface, and fault detection means coupled to the means for processing and interpreting data, wherein the fault detection means performs fault detection in the network. In one embodiment, the intelligent device operates in conjunction with a central control site in performing fault detection.

The invention discloses an intelligent home platform control system which mainly comprises a knapp cloud platform, an intelligent control center, terminal equipment and an intelligent equipment terminal. The control center and the terminal equipment are in two-way communication. The control center and the knapp cloud platform are in two-way communication. The knapp cloud platform and an intelligent mobile phone are in two-way communication. All terminal equipment are in two-way communication. According to the intelligent home platform control system, through the knapp cloud platform, data information is collected and released to the intelligent mobile phone, a tablet computer and the control center, a convenient and easy-to-use scene editing function and lightweight application are provided at the same time, the core computation work is completed by a control center, and the standby time of the mobile phone is prolonged. Instant equipment information is achieved, a latest equipment list and current state information can be obtained timely through the control center, the complex wire distribution is avoided, the adding of new intelligent equipment by a user is facilitated, a remote application is added into the interface of the control center, and the system is more humanized.

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 discloses a vehicle driving safety monitoring method, a vehicle driving safety monitoring device and a vehicle driving safety monitoring system. The vehicle driving safety monitoring method comprises the steps of: determining a driving route range between a starting address and a destination address as well as a reasonable time range of arriving at the destination address by a taxi taking server according to the starting address and the destination address contained in a taxi booking request; sending an in-vehicle image acquisition command to vehicle-mounted intelligent equipment if the taxi taking server determines that vehicle position exceeds the driving route range or the vehicle driving time exceeds the reasonable time range according to driving data of a vehicle transmitted by the vehicle-mounted intelligent equipment, so that the vehicle-mounted intelligent equipment acquires in-vehicle image information and transmits the in-vehicle image information to the taxi taking server; comparing the in-vehicle image information acquired in the former period and the later period on the basis of the in-vehicle image information acquired after the vehicle-mounted intelligent equipment responds to the taxi booking request and a passenger gets on the vehicle; and sending alarm information to a safety monitoring server when determining that an unsafe index reaches a preset alarm threshold value, and notifying traffic police near the vehicle to vehicle to check or monitor the vehicle to ensure driving safety.

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.

The invention relates to an intelligent device monitoring and managing system based on software as a service (SaaS). The system comprises an intelligent device layer, a cloud application and service layer and a user application layer, wherein the intelligent device layer is assemble of monitoring and managing objects of the same category, the cloud application and service layer is a group of network server cluster, and the user application layer comprises any devices and users capable of accessing the internet and carrying a web browser. A user can use the web browser as a monitor terminal to request monitoring service, managing service or other services of intelligent devices to the cloud application and service layer. The cloud application and service layer adopts an Saas multi-tenant and distributed application procedural framework, processes data in a distributed cache according to a monitoring service strategy customized by the user, and logs the data in a data base at regular time. The cloud application and service layer drives a cloud application and service terminal and controls the intelligent devices to execute responding service motions. According to the intelligent device monitoring and managing system based on SaaS, application services such as remote control, management and information integration of the intelligent devices based on a SaaS platform are achieved, problems caused by large-scale monitoring objects are effectively solved, servers and information bearing capacity can be arranged dynamically according to the quantity of users, hardware resources of the servers can be utilized completely, and therefore operating cost is reduced.

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.

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.

Provided is a system for monitoring gait. More particularly, the system comprises: one or more pressure sensors; an algorithm which compares the data from the pressure sensor(s) to a stability profile, and provides a feedback value; means for communicating the feedback value; and a power source. Also provided is a method for gait analysis comprising: collecting signals from one or more pressure sensors located in pressure proximity to a foot, generating a test profile; comparing the test profile to a stability profile; generating a feedback signal; and communicating the feedback signal. The system may also comprise one or more accelerometers.

An embodiment of the invention discloses a network access configuration method and system of intelligent equipment and related equipment. The network access configuration method is applied to the network access configuration system which comprises the intelligent equipment, a local area host and a mobile terminal. The network access configuration method includes that the intelligent equipment sends a network access request message to the local area host to enable the local area host to forward the network access request message to the mobile terminal for network access confirmation; the intelligent equipment receives network access configuration information returned by the local area host; the intelligent equipment realizes network access configuration according to the network access configuration information which is received. By the network access configuration method and system, network access configuration of the intelligent equipment can be realized conveniently and quickly.

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 discloses a method and a system for automatically testing the relay protection function of an intelligent substation. The simulation system of the entire substation is realized in the mode that a simulation host machine is used for controlling digital relay protection and testing devices, a testing environment is provided, closed-loop testing on intelligent equipment is performed, the intelligent equipment with any scale of the substation can be tested in the mode that the simulation host machine is connected with the digital relay protection and testing devices, when tested equipment is added and the existing simulation system cannot meet the testing scale, the relay protection and testing devices in cascade connection are added to meet the testing requirement for intelligent equipment with larger scale, and besides, testing for a plurality of intelligent equipment can be realized, and the application prospect is better.

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.