30 results about "Software Malfunction" patented technology

The present invention provides improved methods and systems to build an integrated IP network in which high-quality services such as voice and best-effort data services can be provided with higher reliability and lower cost. A new type of router, called a PACS router, is disclosed in which the user terminals, computer servers, access routers and other service terminals are connected to the integrated router. A PACS router includes a packet-switching fabric and a circuit-switching fabric interconnected by channelized high-speed links. The PACS router creates and uses two types of channels within channelized high-speed links, which in turn are transported from one router to another via SONET network links. The channels are labeled as either packet-channel or circuit-channel according to the usage of these channels. High-quality services are mapped into a circuit-channel at the service originating router and routed through the circuit-switching fabrics in the routers. The best-effort services, on the other hand, are mapped into a packet-channel, which is terminated in each PACS router where packets from packet-channels are extracted and routed hop-by-hop according to the packet destination header address. A network built with PACS routers uses signaling and routing protocols to segregate traffic into different classes and route them using circuit-channels and packet-channels depending on quality of service requirements. Routing high-quality service over circuit-channels eliminates routing delay typically incurred in packet-switching fabrics, enhances reliability from software malfunction in the router since existing connection at circuit-switching fabric does not depend on software control and enhances network scalability by not having to terminate all traffic into packet-switching fabrics in every PACS router. The circuit-switching fabrics in the PACS routers also provide further immunity by fast rerouting of failed circuits via alternate routes when a network fault is detected.

A software application that is able to manage a collection of robot repairing resources can be used to assist technicians in repairing and solving hardware or software malfunctions within an electro-mechanical robot. The software application is able to simultaneous monitor multiple different electro-mechanical robots by receiving diagnostic information from them. The software application can identify a malfunction within one of the electro-mechanical robots by comparing its diagnostic information against a set of robot repair manuals. The software application will then select an optimal AI algorithm that has the best chance of repairing the hardware or software malfunction. The software application continues by implementing the optimal AI algorithm with a set of cloud accessible robot repairing applications, a technician's intervention, or a combination thereof.

Embodiments are directed to reducing the number of unit tests performed within a system. In one scenario, a computer system accesses a specified version of an application and evaluates that version of the application to identify connections between software features in the application, and to further identify defects in the software features. The computer system also determines a risk level for the software features, which indicates a likelihood of that software feature causing a software malfunction according to the identified connections or defects. The computer system further generates a feature list that includes, for at least some of the features, a corresponding ongoing risk indicator that indicates the determined likelihood of that feature causing the defect or software malfunction, and performs unit tests against the software application for those features that were indicated as sufficiently likely to cause a defect or software malfunction upon installation or upgrade of the application.

ASICs or like fabrication-preprogrammed hardware provide controlled power and recovery signals to a computing system that is made up of commercial, off-the-shelf components—and that has its own conventional hardware and software fault-protection systems, but these are vulnerable to failure due to external and internal events, bugs, human malice and operator error. The computing system preferably includes processors and programming that are diverse in design and source. The hardware infrastructure uses triple modular redundancy to test itself as well as the computing system, and to remove failed elements—powering up and loading data into spares. The hardware is very simplified in design and programs, so that bugs can be thoroughly rooted out. Communications between the protected system and the hardware are protected by very simple circuits with duplex redundancy.

The invention discloses an upper layer system for redundant radiation monitoring. The upper layer system comprises a local instrument, an RS-485 serial bus, a collection station, a main supervisor disk, an auxiliary supervisor disk, a switch and a database server; the collection station comprises a main industrial computer and a standby industrial computer. The local instrument is connected to themain industrial computer and the standby industrial computer at the same time; the main industrial computer and the standby industrial computer are respectively equipped with main serial port acquisition software and spare serial port acquisition software; and data in the main industrial computer and the standby industrial computer are transmitted to the main supervisor disk, the auxiliary supervisor disk and the database server through the switch. The invention can solve the problem of hardware and acquisition software failure of the industrial control computer at the same time, and greatlyimproves the output reliability of the system; and at the same time, a novel industrial control computer and a full set of domestic system software with better stability and functionality are used forupgrading an original system.

The invention provides a high-speed dual-computer hot standby redundant communication method. The method specifically comprises the following steps: setting two serial ports and a group of level pins to form three groups of redundant communication links; configuring models, serial port parameters, data formats, verification modes, serial port disconnection judgment and serial port reset of two paths of serial port communication, and heartbeat pulse parameters, level connection signal states, heartbeat pulse disconnection judgment and heartbeat pulse filtering of level communication; and judging that the current state of the local machine is a host operation state or a slave operation state or a power-on initialization state, and switching the operation state of the local machine according to the communication condition, the fault state and the UID condition of the two machines. Only the cheapest serial port and some level pins are needed, the method is suitable for the field of batch industrial control, and the cost is low; the stability of software and hardware is high; three processing branches exist for three groups of link channels, so that the failure caused by a single software fault is avoided to the greatest extent; and the switching speed is high.

A system for detecting a communication computer node malfunction by analysis of network traffic output by the network node. Low latency packet computer nodes copy network traffic and transmit it to ananalytics engine, which may use machine learning techniques, including long short-term memory (LSTM) neural networks, to determine a likelihood that the output of one data router in a network is suffering from a software malfunction, hardware malfunction, or network connectivity issue, and preserve overall data quality in the network by causing cessation of traffic by the malfunctioning node of the network.

The invention provides a system monitoring device based on a CPLD (Complex Programmable Logic Device). The system monitoring device comprises a power-on time sequence control module, a sensor monitoring module, a system operation monitoring module and an alarm processing module, the power-on time sequence control module is used for monitoring all power supply chips of the tested system; the sensor monitoring module is used for monitoring the working current and the working temperature of the tested system, and when the working current or the working temperature is abnormal, the alarm processing module is notified to turn off the system power supply; and the system operation monitoring module is used for monitoring the operation state of the tested system and informing the alarm processing module to perform soft reset operation or power-off restart operation on the tested system or turn off the system power supply if the system is abnormal. According to the invention, the tested system is monitored based on the CPLD, so that the monitored system can be automatically recovered when a software fault occurs, and can be timely powered off when a hardware fault occurs.

The invention relates to a software test demand mining method and system, and the method comprises the following steps: obtaining fault description information of different types of software, and building a software fault mode knowledge base based on the fault description information through employing a fault tree analysis method based on mean shift clustering, the software fault mode knowledge base comprises software types, software functions, fault modes and test points; according to the software type and the software function of the to-be-tested software, fault modes and test points corresponding to the function of the to-be-tested software are searched in the software fault mode knowledge base, and for each test point corresponding to the function of the to-be-tested software, whether the test point exists in a test requirement text of the function of the to-be-tested software or not is judged by adopting a similarity matching algorithm; and if not, pushing the test point and the corresponding fault mode to a tester.