1065 results about "Self-diagnosis" patented technology

This invention provides a system and method for runtime determination (self-diagnosis) of camera miscalibration (accuracy), typically related to camera extrinsics, based on historical statistics of runtime alignment scores for objects acquired in the scene, which are defined based on matching of observed and expected image data of trained object models. This arrangement avoids a need to cease runtime operation of the vision system and/or stop the production line that is served by the vision system to diagnose if the system's camera(s) remain calibrated. Under the assumption that objects or features inspected by the vision system over time are substantially the same, the vision system accumulates statistics of part alignment results and stores intermediate results to be used as indicator of current system accuracy. For multi-camera vision systems, cross validation is illustratively employed to identify individual problematic cameras. The system and method allows for faster, less-expensive and more-straightforward diagnosis of vision system failures related to deteriorating camera calibration.

The invention provides an intelligent comprehensive monitoring and security integrated management system for a parking garage. The system solves the comprehensive intelligent management problems of related automatic monitoring, automatic detection, display, different languages and voices, communication, dispatching, guide, digital quantity identification, security, forbidding and passing, charging, statistics, self diagnosis and maintenance and the like of various self-propelled and automatic three-dimensional mechanical parking garages. The system has significant meanings for improving the monitoring, security and management levels of various parking garages, promoting static traffic modernization construction and increasing the social and economic benefits of the parking garages.

The invention provides a self-contained automatic fire detection, warning, and suppression life safety system having an extinguishant source and a fire detector coupled to an electronic processor. The processor has logic to interface with components for detecting and warning of a fire and releasing the extinguishant. Self-diagnosis logic checks the entire system's function, pressure, power level, and power source. Additional sensors are provided for detecting various hazards, and the processor has logic for proper response.

The present invention enables the self-diagnosis functionality by embedding a cable modem with the CMTS system with mechanisms to redirect the signals from external connections to the embedded cable modem, thereby enabling the end user to fully test the CMTS using a suite of diagnostic tests. The embedded cable modem integrates the external CM, computer and diagnostic software in the chassis, or alternatively onto the CMTS card in the chassis. The invention enables the end user to fully test the functionality as a stand-alone unit, without relying on any external test equipment or methods. It also enables the end user to diagnose the CMTS from a remote location. Another major advantage of the present invention is that it enables the CMTS/CM function to be verified over the entire physical layer parameter set (frequency, symbol rate, FEC, signal levels, etc.) while not interrupting any of the services that are on the ‘live’ HFC plant.

An autonomous vacuum cleaner network system comprises an autonomous vacuum cleaner and two terminal devices connected to the autonomous vacuum cleaner via a network. Using one of the terminal devices, a user inputs reservation information. The autonomous vacuum cleaner receives the input reservation information via a wireless LAN, and stores it, and further executes a self-diagnostic program immediately before a scheduled cleaning start time. If there is abnormality in the result of the self-diagnosis, the autonomous vacuum cleaner sends the result of the self-diagnosis as maintenance information to the other terminal device which is selected and assigned by the user as an addressed device. The autonomous vacuum cleaner network system makes it possible to set reservation information of the autonomous vacuum cleaner without requiring the user to go to the place where the autonomous vacuum cleaner is placed, and makes it possible to surely inform the user whether the autonomous vacuum cleaner can operate smoothly at the scheduled cleaning start time.

The present invention relates to a method of providing various washing course programs and/or self diagnosis service for an automatic washer from a remote server located in Internet wherein the automatic washer is connected to a data terminal such as personal computer through a communication cable or has a built-in communication function. With the present invention, it is possible to apply newly-developed various washing course programs to already-sold washing machines with ease, and to prevent damages of clothes, light washing ability, and so on which might be caused from unskilled manipulation to a washing machine, and a user can set and change initial screen displayed onto an LCD panel, animations indicating washing states, messages to deliver to someone through an LCD, melodies as he or she wants.

Disclosed are a self-diagnosis system of a home appliance and operation method of the same that self-diagnose and display a state of a home appliance having a self-diagnosis function, recognize and analyze the displayed self-diagnosis information, and provide proper service information corresponding to the state of the home appliance. A state of a home appliance having a self-diagnosis function is self-diagnosed, the diagnosed result is displayed as various images, such as a 7-segment image, QR code, and LED or sound type Morse code, self-diagnosis information displayed as the images is recognized and analyzed, and proper service information is provided to a user or a service provider, thereby easily checking a problem cause of the home appliance.

A digital broadcasting receiver, a driving method, and a self-diagnosis method thereof, are provided. The digital broadcasting receiver includes: a digital demodulator for demodulating a digital broadcasting signal; a lock detector for detecting lock signals from the digital demodulator; and a lock processor for controlling the digital demodulator according to the detected lock signal.

Systems, methods, and computer-readable storage media are disclosed that allow adaptive automatic detail diagnostic log collection for self-diagnosis and auto-recovery. In an embodiment, a group communication server determines that a fault has occurred with a group communication between wireless communication devices. The group communication server determines a set of events to log based on the fault, and instructs components that host the group communication to begin logging a set of events. Upon determining that logging the set of events can no longer be performed, such as due to too high of a load within a component of the group communication, the group communication server adapts the logging by logging a second set of events that will not cause too high a load, and can dynamically when resources become available.

An image-based self-diagnosis apparatus and method for a robot determines the abnormality of a driving unit of a mobile robot by using a camera and reporting to the user in real time. The image-based self-diagnosis method may include: capturing a reference image at the current location and storing the captured reference image; capturing a comparison image after making at least one of linear moves and rotational moves by a preset amount, and storing the captured comparison image; and determining the abnormality of the mobile robot by comparing the stored reference image and the comparison image with each other.

The invention discloses a method and a system for track traffic failure recognition based on improved Bayesian algorithm. The method comprises the following steps of: 1) determining various failure modes and corresponding monitoring values of each traffic device according to circuit structure of the traffic device, and building a failure model aiming at each failure mode and corresponding monitoring value; 2) recognizing a parent child relation among the monitoring data according to the failure model, thus obtaining a standard failure sample data; 3) training with the standard failure sample data through a Bayesian algorithm to obtain a failure recognition model, wherein weight of a parent node in the failure recognition model of each failure mode is greater than that of a child node; 4) monitoring and acquiring various monitoring values of the traffic device in real time, and recording time sequence of the monitoring values; 5) recognizing data through the failure recognition model, and determining corresponding failure. By the method and the system, accuracy of failure recognition is improved, failure repair time is reduced, the device can perform failure self-diagnosis, and traffic safety is guaranteed in the operation and maintenance aspect and the device aspect.

The invention discloses an optimization method and an optimization system for task scheduling in a large-scale virtualization environment. The optimization method, as a friendly and efficient operation interface for task scheduling, includes task centralized management, distributed execution, smooth control for concurrency, execution time limit control, priority definition, operation monitoring, self-diagnosis, etc. The method is realized in accordance with crond program in a UNIX system, which enhances fine control function and supports cooperation between hosts to realize distributed execution and centralized monitoring of tasks. Task definitions managed by multiple hosts are under centralized management through a database to simplify configuration operation, so as to relieve burden of the database; the tasks are guided into a shared memory after being defined, and the database is not visited in subsequent scheduling. A scheduling platform has self-diagnosis ability, to guarantee sustained and steady scheduling work.

When the mobile type information terminal is transferred between an operating state and a standby state, self diagnosis is performed. The fuel cell charges the secondary cells with a normal current of fixed value I1, and when the output voltage of the boost DC/DC converter (when PG=L), the charge current is reduced to the fixed value and aging is performed. After aging is performed for 60 seconds, charging is performed once again performed at the normal fixed value I1. This type of operation is repeated 30 times. During aging, when the output voltage from the boost DC/DC converter is reduced (when PG=L), aging is stopped and after 20 seconds aging is performed again, and this operation is done 10 times. The mobile type information terminal can perform self diagnosis and retrial of regeneration without the user being aware, in which secondary batteries and a fuel cell are loaded.

The invention discloses a system for measuring and monitoring the fuel consumption of an automobile in use in real time and a measurement and monitoring method thereof. The system comprises on-board equipment, roadside equipment and a monitoring center, wherein the on-board equipment is arranged in the automobile, is connected with an on-board self-diagnosis system by an on-board diagnosis (OBD) interface module to read fuel consumption information and automobile information, and calculates the total fuel consumption of an engine by a master control unit; and the roadside equipment reads the total fuel consumption of the automobile by wireless communication and transmits super-standard automobile information to the monitoring center. In the method, the total fuel consumption is calculated by the fuel consumption information read from the on-board self-diagnosis system and a fuel charge calculation formula; and the roadside equipment reads the fuel consumption of the automobile and the super-standard automobile information to the monitoring center for processing by the wireless communication, and simultaneously informs a driver of the automobile with the super-standard fuel consumption. In the system and the method, data is read from the on-board self-diagnosis system, so the technology is simple and reliable and the detection accuracy is high; and the system and the method are applied to the fuel consumption detection of the automobile in any state to integrate the fuel consumption detection, maintenance and management of the automobile.

The invention relates to a universal tracked mobile platform for a military robot. The universal tracked mobile platform can flexibly adjust gravity centre distribution and position attitude to increase the range of activity; the overall platform follows a principle of compact design, and has the characteristics of light weight, portability and miniature size; a reserved expansion area can be provided with various functional modules such as a multi-freedom-degree mechanical arm, a bubble gun, a wire cutter, a small-sized communication relay station, small arms and the like; therefore action competence and application range of the universal tracked mobile platform are increased greatly; and convenience for assembling various military robots and specialized robots is brought. The universal tracked mobile platform operates stably and reliably by adopting an intelligent control mode and self-diagnosis technology.

Embodiments relate to systems and methods for self-diagnosis and / or false detection using multiple signal paths in sensor and other systems. In one embodiment, a sensor system comprises at least two sensors such as magnetic field sensors, and separate signal paths which belong to each of the sensors. A first signal path can be coupled to a first sensor and a first digital signal processor (DSP), and a second signal path can be coupled to a second sensor and a second digital signal processor. A signal from the first digital signal processor can be compared with a signal from the second digital signal processor either on-chip or off-chip to detect defects, errors, and other information in connection with the operation of the sensor system. Embodiments of these systems and / or methods can be configured to satisfy or exceed relevant safety or other industry standards, such as safety integrity level (SIL) standards.

A communication network for vehicle control and a method of diagnosing the same in which the self-diagnosis functions attributed to some of control units in the communication network are combined with a manual diagnosis operation, whereby the diagnosis can be carried out by a relatively simple arrangement without sacrificing readiness and correctness, thus ensuring higher cost performance and reliability. The communication network includes control units, each coupled to at least one of auxiliary input and output devices, connected with communication lines to one another for transmitting and receiving unique signals. Each of at least two of the control units includes a transmitter, a receiver, a controller, and an indicating means, and has a diagnosis function. In a diagnosis mode, a receiver of the control unit with the diagnosis function upon receiving the unique signal from another control unit examines whether the unique signal is normal or not, and whether an input signal received from the auxiliary input device connected thereto is authentic or not. On the basis of the results of examination, the control unit determines the presence of fault in the communication network and energizes the indicating means in a corresponding manner.

The invention discloses sprayed concrete with microorganism crack self-repairing capacity and a preparation method of the sprayed concrete. The sprayed concrete is prepared from components as follows:self-repairing particles carrying a microorganism repair agent and nutrients, cement, pebbles, sand, silica fume, water, polypropylene fibers, a sodium aluminate liquid accelerator and a polycarboxylate superplasticizer. The microorganism with mineralization and sedimentation characteristics is taken as the crack repair agent of the sprayed concrete, and expanded perlite or flyash pottery sand with high porosity is taken as a carrier of the repair agent; the carrier is coated with the nutrients and is isolated from a cement-based material by an isolating layer. The concrete cracks are repaired by calcium carbonate precipitate produced by the microorganism repair agent in a metabolism process, and the crack self-repairing capacity of the sprayed concrete in the service is improved, so thatimpervious performance and durability of the sprayed concrete are improved. The sprayed concrete with crack self-repairing capacity as a sprayed concrete material with crack self-diagnosis and self-repairing functions has great research value and application potential.

The present invention provides a method and apparatus for a memory build-in self-diagnosis and repair with syndrome identification. It uses a fail-pattern identification and a syndrome-format structure to identify faulty rows, faulty columns and single faulty word in the memory during the testing process, then exports the syndrome information. Based on the syndrome information, a redundancy analysis algorithm is applied to allocate the spare memory elements repairing the faulty memory cells. It has a sequencer with enhanced fault syndrome identification, a build-in redundancy-analysis circuit with improved redundancy utilization, and an address reconfigurable circuit with reduced timing penalty during normal access. The invention reduces the occupation time and the required capture memory space in the automatic test equipment. It also increases the repair rate and reduces the required area overhead.