3060 results about "Equipment state" patented technology

The invention discloses an intelligent substation based on sensors, a communication network and an expert system. The intelligent substation comprises a substation automation system, a primary equipment condition monitoring system and an intelligent auxiliary control system. The intelligent substation is characterized in that the real-time data of equipment operation are acquired by additionally installing various sensors, the IEC61850 standard is utilized to realize information modeling of the sensor data, a communication network is utilized to build a physical channel for information transmission, and advanced application of the substation automation system and intelligent monitoring and linkage of the primary equipment condition monitoring and auxiliary systems are realized by a background expert system, thus realizing intelligent operation and patrol functions of the substation; the sensors include an all-fiber electronic current transformer, a capacitive voltage divider type electronic voltage transformer, a primary equipment condition monitoring sensor and an internet sensor with an auxiliary system things; and the advanced application of the substation automation system includes sequential control, equipment condition visualization, intelligent alarm, distributed condition estimation, substitution function and the like. Intelligent operation and patrol functions of the substation can be realized.

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.

The invention discloses a power transmission and transformation equipment state overhauling system based on risk evaluation. The system consists of a software supporting module, an equipment information collecting module, an equipment state diagnosing and evaluating module, an equipment risk evaluating and analyzing module, an equipment overhauling strategy auxiliary decision making module and an evaluating and checking module. The six modules are sequentially connected and mutually supported from bottom to top to form a pyramid type decision making flow path. The invention implements one set of complete system on the data information and equipment maintenance of a power network, makes a dynamic, timely, high-reliability and economic maintenance plan for the power transmission and transformation equipment under the condition of carrying out quantitative calculation on risks, greatly reduces the unnecessary maintenance, decreases the equipment damage caused by maintenance, saves the maintenance and management cost, and enhances the reliability of the power network.

Systems and methods for enabling the use of a device to control multiple devices that participate in the presentation of content are disclosed. In particular, a first device may receive information corresponding to the state of appliances to be controlled. A second device having a graphical user interface may be enabled by the first device to update its graphical user interface in accordance with the appliance states for which the first device receives information. In some embodiments, the second device is a handheld device that controls the appliances.

Combined IEEE 802.11 (WiFi) and Bluetooth transceiver and method of operation employing busy signals to monitor when transmissions of each type are being transmitted or received, and employing a synchronizing signal to synchronize the use of time slots. In one embodiment, a simple two-wire interface is exposed linking Bluetooth and IEEE 802.11 radio systems. In another embodiment, the Bluetooth and IEEE 802.11 services can exchange information including scheduling, mode of operation, channel usage and device state via a shared resource such as a memory, referred to as a 'mailbox'.

Implantable medical devices, including stents, grafts, covered stents, catheters, patches or the like having regions of the device which are functionalized employing microelectromechanical systems that are capable of acting as electromechanical sensors or biosensors in response to either an endogenous event, such as tissue growth, biochemical binding events, pressure changes, or respond to an externally applied stimulus, such as RF energy, to cause a change in the state of the device, such as to induce an oscillation signal which may be interrogated and interpreted external the body or may generate an induced electrical or electromagnetic potential in the device to activate micromotors to effect a geometric change in the device.

An implantable neurostimulator system adapted to provide therapy for various neurological disorders is capable of varying therapy delivery strategies based on the context, physiological or otherwise, into which the therapy is to be delivered. Responsive and scheduled therapies can be varied depending on various sensor measurements, calculations, inferences, and device states (including elapsed times and times of day) to deliver an appropriate course of therapy under the circumstances.

An objective is to identify the health state of mechanical equipment and provide information usable for determining maintenance work timing or the like. A health management system includes a time-series data acquisition unit configured to acquire multi-dimensional sensor data and environmental data from mechanical equipment; a first discrimination unit configured to quantify the equipment state of the mechanical equipment by a statistical method using normal data as learning data; a second discrimination unit configured to quantify the health state indicating the performance or quality of the mechanical equipment by a statistical method using normal data; and an output unit configured to display and / or output to the outside the quantified equipment state and health state.

A device that performs a master / slave switching process dynamically changing a device functioning as a master device in a network in consideration of fixed device performances and also variable device states is provided. A device's own device information managing section (15) of a master device (1) manages device's own device information regarding its own device. Another device information managing section (16) manages other device information regarding other devices, which are slave devices. A schedule information managing section (17) manages schedule information regarding master device candidates. A device information processing section (13) obtains predetermined information, such as the remaining amount of battery, from a slave device specified based on the other device information and the schedule information at a predetermined time. The device information processing section (13) then compares the obtained predetermined information and the device's own device information to determine whether a device more suitable as the master device than its own device (1) is present. If such a suitable device is present, a master / slave switching process is performed with this suitable device.

The invention relates to the technical field of equipment fault monitoring, and particularly discloses an equipment fault warning and state monitoring method. The equipment fault warning and state monitoring method is characterized by including two processes of model building and model operation; the process of model building includes the steps of acquiring training data, performing data preprocessing operation on the training data, then adopting a nonparametric learning algorithm to select a memory matrix, training a residual generator and acquiring a residual threshold of each parameter; the process of model operation includes the steps of acquiring real-time data, performing data preprocessing operation on the real-time data, then calculating all parameter residuals of the real-time data, analyzing the residuals to judge whether the equipment state is normal or not, and further positioning fault causes. The method has the advantages of data-driven method based universality, robustness and high adaptive capability, the shortcoming that warning results are difficult to analyze and explain is avoided, and additionally accuracy and efficiency of fault warning are both improved due to introduction of the nonparametric learning algorithm.

The present invention generally teaches systems and methods for creating appliance signatures based upon whole house composite load profiles. Methods may includes steps such as identifying primitive elements including transients and absolute steady state levels; clustering the primitive elements along multiple dimensions to form impulses; combining impulses to form simple bundles; combining simple bundles with each other or impulses to form complex bundles; and determining specific appliance signatures that substantially match the complex bundles. Methods may also include steps such as determining transitions within the whole house composite load profile; determining household specific appliance state machines for each appliance in the household; and disaggregating the whole house composite load profile into individual appliance energy loads by assigning the determined transitions to the determined household specific appliance state machines.

An apparatus and method for depositing plural layers of materials on a substrate within a single vacuum chamber allows high-throughput deposition of structures such as these for GMR and MRAM application. An indexing mechanism aligns a substrate with each of plural targets according to the sequence of the layers in the structure. Each target deposits material using a static physical-vapor deposition technique. A shutter can be interposed between a target and a substrate to block the deposition process for improved deposition control. The shutter can also preclean a target or the substrate and can also be used for mechanical chopping of the deposition process. In alternative embodiments, plural substrates may be aligned sequentially with plural targets to allow simultaneous deposition of plural structures within the single vacuum chamber. A monitoring and control device can be wed to optimize equipment state, process state, and wafer state parameters by sensing each respective state during or after the deposition process.

Tasking systems and methods are provided that support user interfaces for displaying objects, the displayed objects enabling user access to resources that provide for effecting tasks among the system and devices of the systems' environment. More particularly, tasking systems and methods are provided that support the foregoing features, wherein the systems and methods support clustering operations respecting such task-associated objects so as to enhance the effecting of the associated tasks, such clustering operations responding to context. The clustering operations preferably are both adaptive and dynamic. Tasking systems and methods preferably support the tracking of selected states, including, as examples, one or more of environment states, device states, and system states. Tracked states typically also include states respecting other relevant criteria, such as temporal criteria.

A home network system allowing a user to directly control joining or removing of member devices in a domain using a user interface and to effectively control a status change of the member devices of the domain and a management method therefor. The home network system includes: a master device, which forms a domain with more than one controlled device, transmits a predetermined domain key to the controlled devices included in the domain, generates a new domain key whenever a configuration of the domain is changed, and transmits the new domain key to the controlled devices remaining in the domain; and a control point, which provides a user interface allowing a user to directly change the configuration of the domain.

The invention puts forward a power distribution equipment state visualization platform based on big data. The platform comprises a data processing module, a data analysis module and an evaluation module, wherein the data processing module is used for obtaining multi-platform data, processing the multi-platform data and displaying the processed data; the data analysis module is used for carrying out big data integration, storage and retrieval and data mining analysis; and the evaluation module is used for generating a power distribution equipment evaluation model based on the big data, evaluating the power distribution equipment according to the power distribution equipment evaluation module, and generating a corresponding processing strategy according to an evaluation result. By use of theplatform, the business requirements of intensive development and lean management can be met, the multisource information interaction fusion ability of the equipment is improved, the full view real-time perception, and the multidimensional intelligent monitoring and control of the power distribution equipment can be realized, equipment operation risks can be prevented in advance, reaction speed for emergency events can be improved, and the full life cycle of the equipment can be subjected to management transparency and high efficiency.

The invention discloses a thermoelectric power station automatic control system based on artificial intelligence. It includes dispersible control system, virtual DCS simulation system, program controlling system, monitoring information system and malfunction diagnosing and optimizing controlling system; the dispersible control system is connected with the virtual DCS simulation system and program controlling system; the program controlling system process the operating parameters of every machine group transmitted by dispersible control system, and at the same time transmits data to monitoring information system to display, then transmits malfunction diagnosing and optimizing controlling system to have equipment state monitoring, malfunction diagnosing and forewarns. The invention gathers automatic control, optimizing operation, security monitoring and malfunction diagnosing and forecast. It can improves the automated management level of the thermoelectric power station operation, and enhances enterprises' benefit. It has great economic and applied value in the producing process automatic control of the thermoelectric power station.

A method and apparatus for providing distributed control of a home automation system is provided. Each device participating in a home automation system is equipped with control logic for providing distributed control. Through the control logic, each device maintains scene definitions describing the state of the device for each scene in which it participates. When any device in the system receives a request to launch a scene, such as a button press on one of the devices, the device broadcasts a scene state change message to all devices within the home automation system. The scene state change message identifies to each device a particular scene that should be launched. Each device in the system receives the message and determines whether the device is a participant in the scene. If the device is a participant in the scene, the device adjusts its state according to a scene definition stored in the device associated with the scene. The device may adjust a controlled electrical load, such as a light, according to the scene definition by turning the load on, off, or setting the load to some intermediate value.

A system that facilitates managing resources (e.g., functionality, services) based at least in part upon an established context. More particularly, a context determination component can be employed to establish a context by processing sensor inputs or learning / inferring a user action / preference. Once the context is established via context determination component, a power / mode management component can be employed to activate and / or mask resources in accordance with the established context. The power and mode management of the device can extend life of a power source (e.g., battery) and mask functionality in accordance with a user and / or device state.

The invention discloses a control system for a transformer substation patrol robot. The control system comprises a core processor, an information collection module, a communication module, a robot motion control module, an analysis module and a navigation system module; the core processor comprises a GPU and an ARM processor, the information collection module is used for collecting related information of robot patrolling, the communication module is used for transmitting the related information of robot patrolling and related operation instruction information of workers, the robot motion control module is in data connection with the ARM processor and used for controlling walking of the robot, the analysis module is in bidirectional data connection with the GPU and used for automatically recognizing whether equipment is abnormal or not according to the collected image information, the navigation system module is in bidirectional data connection with the ARM processor and used for positioning the position of the robot in real time and planning the optimal path according to a patrolling task. The control system can accurately navigate and position the robot, collect the working state of electric equipment and return the equipment state and the working state of a robot body to a control center in real time.

The invention discloses a power equipment infrared image fault positioning, identification and prediction method. The power equipment infrared image fault positioning, identification and prediction method comprises the following steps: 1) collecting power equipment infrared thermal image data; 2) classifying the infrared images to form a data set; 3) constructing a convolutional neural network model; 4) separating out faulty power equipment; 5) monitoring faulty power equipment in real time, and longitudinally collecting temperature data; 6) positioning a fault part, segmenting the infrared image of the power equipment, and extracting a fault area; 7) diagnosing a fault area, and judging a fault level; 8) predicting an equipment state trend; 9) uniformly outputting and displaying the information; 10) storing the fault level; 11) making four types of infrared image data sets; 12) building a target detection model and training; 13) directly detecting an infrared image of power equipmentto be detected through a target to obtain a fault position and a fault level; 14) repeating the step (5); 15) repeating the step (8); and 16) repeating the step (9) facilitating positioning of the fault position, fault level judgment and prediction of the fault equipment and giving a maintenance suggestion.

The invention discloses a machine room server remote monitoring method and system. The system comprises a plurality of IP cameras, a switch and a machine room monitoring center, wherein the IP cameras are used for receiving a shooting data acquisition command, and performing shooting on equipment state indicator lights in a machine room to generate a group of modeling image data; and the machine room monitoring center is used for acquiring and saving the group of modeling image data in advance, controlling each IP camera to perform shooting on server cabinets monitored by each IP camera according to a set shooting data sampling period, acquiring a group of real-time image data, comparing the chromatic value of each equipment state indicator light in the group of real-time image data with the chromatic values of corresponding equipment state indicator lights in the saved modeling image data one by one, checking abnormal servers in the machine room according to comparison results, and executing alarming. Through adoption of the machine room server remote monitoring method and system, accurate history image data which can be inquired is provided in order to perform server fault analysis and processing, and the server fault checking efficiency can be increased greatly.

The invention discloses a data verification method based on block chains and a data verification system thereof. The data verification method comprises the steps that the sensing data of the environment and / or household equipment state are acquired through multiple wireless sensor nodes of a wireless sensor network and processed and then uploaded to a data repeater; the data repeater receives the processed sensing data and then forwards the sensing data to a data verification network; multiple data verification nodes in the data verification network are responsible for verifying and saving the sensing data; and all the data verification nodes are block chain nodes, and multiple data verification nodes form a distributed database. The data verification task is completed by using the data verification nodes, and the verification work is distributed to the verification nodes from the data repeater so that the problems of being low in verification efficiency, low in speed, high in transmission delay and vulnerable because of the excessively centralized verification task can be overcome, and the nodes are excited to actively authenticate the data and rapidly complete the verification task so that the whole verification system is not influenced by single node failure of any node.

The invention provides a substation equipment operation and maintenance simulation training system and method based on augmented reality. The system comprises a training management server, an AR subsystem and a training live-action visual monitoring subsystem; the AR subsystem comprises a binocular stereoscopic vision three-dimensional perception unit used for identifying, tracking and registering target equipment, a display unit making a displayed virtual scene overlaid on an actual scene, a gesture recognition unit used for recognizing actions of a user and a voice recognition unit used for recognizing voice of the user; the training live-action visual monitoring subsystem comprises a multi-view stereoscopic vision measurement and tracking camera and a equipment state monitoring video camera which are arranged in the actual scene; the equipment state monitoring video camera is used for recognizing the working condition of substation equipment, and the multi-view stereoscopic vision measurement and tracking camera is used for obtaining three-dimensional space coordinates of the substation equipment in the actual scene, measuring three-dimensional space coordinates of trainees on the training site and tracking and measuring walking trajectories of the trainees.

A tongue implant control system and methods for stabilizing the tongue are disclosed. The tongue implant control system includes an implant device and a non-implanted control device in wireless communication. The control device provides an inductive power transfer for operating the implant device. The control device also sends commands for changing a state of the implant device. The implant device includes a flexible portion for attachment to the tongue and to one or more actuators. The one or more actuators may include shape memory material. The implant device detects a command from the control device and powers an actuator based on the command. Optionally, the implant device communicates its operating state to the control device and the control device displays information about the implant device at a user interface.

Methods and devices are provided for determining the status of a networked device, e.g., a networked RFID device. In some embodiments of the invention, a customized packet is used to transmit a “heartbeat” from each of a plurality of networked devices to a server. Some such embodiments use a customized syslog packet for the heartbeats. The heartbeat includes identification information regarding the device, e.g., the unique electronic product code (“EPC”) of the device. The identification information may include other identification and / or authentication information, such as a shared secret and time data, which may be hashed with the identification information. The heartbeat may include information indicating the health, accuracy and / or reliability of the device and / or of the network that includes the device.

The invention discloses a cold source centralized digital control method based on energy consumption monitoring. The cold source centralized digital control method based on energy consumption monitoring comprises the following steps that a, real-time monitoring is conducted on power utilization, water utilization, the cooling quantity, the temperature, the pressure and the equipment state of a cold source system of a central air conditioner; b, energy consumption data and system state data collected in the step a are summarized, real-time refrigerating efficiency of the cold source system is calculated according to operating power parameters of a water chilling unit, a chilled water pump, a cooling water pump and a cooling tower fan in the system and the refrigerating capacity of the water chilling unit, forecast energy consumption data at present are obtained through forecasting according to outdoor temperature and humidity parameters at present, indoor temperature and humidity parameters at present and a load forecast model, the forecast energy consumption data and the energy consumption data which are actually monitored are compared, problems existing in the use process of a refrigerating system are found, and an optimized operation control strategy of the cold source system is formed; c, the optimized operation control strategy formed in the step b is conducted, and optimized operation control is achieved through a direct digital controller and an electrically operated valve connected with the direct digital controller.