62results about How to "Accurately locate faults" patented technology

The present invention provides a MIPS-architecture-based CPU outlier location diagnosis method which including the following procedures: machine codes of a present function is scanned; a migration in instructions on constructing a function stack is analyzed and a function stack pointer of an invoking function is computed; the migration in the storage function of a return address is analyzed, the storage location of the return address in the function stack of the present function is computed and the return address is received. The function stack pointer of the call function and the return address obtained according to the present invention can output a call relation of the present function so as to locate and diagnose failure.

The invention discloses a load state detection method, device and circuit and a conditioner controller. The method comprises: acquiring load execution time; determining a load execution moment according to a moment when a load receives an execution command and the load execution time; acquiring power supply bus current or power supply bus voltage respectively before and after the load execution moment; judging whether working state of the load is normal according to comparison results of the power supply bus currents before and after the load execution moment, or comparison results of the power supply bus voltages before and after the load execution moment. After a conditioner controller device fails, the fault can be quickly and accurately located, and solid basis is laid for finding a perfect solution. The load state detection method, device and circuit and the conditioner controller enable manpower and material resources to be greatly reduced and allow aftersales quality to be improved.

The invention discloses a power battery fault display method and device. The power battery fault display method comprises the following steps: a BMS(battery management system) detects whether a battery system has faults, fault flags are encoded, codes are integrated into an array, fault information is formed, and fault recording is performed; the fault information is sent; the fault flags are queried according to fault codes; the fault flags are displayed. The faults can be positioned precisely, later checking and positioning of each fault are facilitated, and vehicle maintenance is facilitated.

The invention relates to a trackside equipment monitoring and intelligent diagnostic system for a ZPW2000 track. The system comprises an outdoor collection sub-machine, a PLC-485 protocol converter and power supply integrated machine, an outdoor monitoring communication processor, a railway signal concentrated monitoring system and a ZPW 2000 maintenance system, wherein the outdoor collection sub-machine is connected with the outdoor part of the ZPW 2000 track circuit, the PLC-485 protocol converter and power supply integrated machine is connected with the outdoor collection sub-machine, the PLC-485 protocol converter and power supply integrated machine is connected with the outdoor monitoring communication processor, and the outdoor monitoring communication processor is connected with the railway signal concentrated monitoring system and the ZPW 2000 maintenance system. Compared with the prior art, the system provided by the invention has the advantages of being capable of accurately positioning faults, intelligent analyzing fault causes, and helping maintenance personnel solve actual problems.

The invention provides an elevator traction machine failure judgment method and system based on a current monitoring technology. The system comprises a current sensor, a signal box, a collection board, a data transmission gateway and a cloud platform server, wherein the current sensor is connected with the output end of a frequency converter of a traction machine; and the cloud platform server isprovided with a service interface for accessing a webpage or APP. The method comprises the following steps of acquiring real-time current data output by the frequency converter of the traction machine, and processing and converting the real-time current data into a corresponding current value; comparing the obtained current value with a preset running threshold, judging that an overcurrent failureoccurs when the obtained current value exceeds the running threshold, and feeding an overcurrent failure code to the cloud platform server; performing phase detection when no overcurrent failure occurs, and feeding the phase failure code to the cloud platform server when a phase failure occurs; and matching with corresponding failure description information by the cloud platform server accordingto the failure code, displaying the failure description information to the webpage or App.

The application discloses a fault type display method and device. The method comprises the following steps: detecting the state information of at least one component in the equipment; determining thefault type information of the at least one component according to the state information, wherein the fault type information includes a secondary system to which the at least one component belongs, anda primary system to which the secondary system belongs; and displaying the fault type information. The application solves the technical problem of low equipment fault diagnosis efficiency of the current stage.

The present invention discloses an intelligent television-based information collection method and system. The method comprises the steps of upon detecting the switching-on state of an intelligent television, acquiring the operation information generated during the operation of the intelligent television; judging whether the operation information contains the operation wrong information or not; if yes, storing the corresponding operation information in a first local storage area; if not, storing the corresponding operation information in a second local storage area; after the intelligent television is switched on again and successfully networked and the information in the first and second local storage areas is updated, sending the stored content in the first and second local storage areas to a background server; and automatically classifying the received operation information according to a preset rule by means of the background server. According to the technical scheme of the invention, based on the network channel of the intelligent television, the state information of the television is automatically uploaded to the backend server, and then is automatically classified by the background server. Therefore, the maintenance efficiency is improved. The method and the system are accurate in fault positioning effect and shorten the maintenance time. Therefore, a fault can be timely repaired.

The invention discloses a concentrated operation system of a photovoltaic power station and hardware configuration of the system. The concentrated operation system of the photovoltaic power station comprises a guiding module, a real-time monitoring module, a defect closed-loop processing module, an equipment analysis module, a benchmarking management module and a form customization module. Hard configuration of the system comprises a distributed station power generating system, a forwarding device, the photovoltaic power station concentrated operation system, a master station information center and a station switch, the distributed station power generating system is in communication connection with the forwarding device, the photovoltaic power station concentrated operation system, the master station information center and the station switch successively, the master station information center is in communication connection with an Internet terminal of a group user, the station switch is in communication connection with an Internet terminal of a station-end user as well as with the Internet firewall, and the Internet firewall is in communication connection with an application serverand a database server. The system and hardware configuration thereof have the advantages including that operation is concentrated, the operation cost is reduced, monitoring of the system is in real time, and shortcomings are eliminated timely.

The invention discloses an information network patrol instrument. The patrol instrument comprises a processor, a battery power supply detection module, a temperature detection module and an LCD (liquid crystal display), wherein the processor is connected with the battery power supply detection module through a GPIO (general purpose input/output) port, connected with the temperature detection module through an IO port, connected with the LCD through an SPI (single peripheral interface), connected with a concentrator station through a network interface, connected with a short message modem through a USB interface or a USB-to-serial port module to perform short message data communication with a central platform through the short message modem, connected with a network switch through a serial port and also connected with a network port of the network switch through a network interface.

The invention discloses a virtual machine creating method and a device for virtual machine creation. The virtual machine creating method includes invoking virtual machine creation steps and performing the invoked virtual machine creation steps, wherein after every time an invoked virtual machine creation step is successfully performed, the next virtual machine creation step which needs to be invoked is determined based on a predetermined sequence of the virtual machine creation steps. According to the virtual machine creating method and the device for the virtual machine creation, each virtual machine creation step is invoked separately, after the invoked virtual machine creation step is performed successfully, the next virtual machine creation step is invoked, and therefore a fault can be located accurately, the situation that all the steps need to be preformed again in the case of a creation failure is avoided, and efficiency of the virtual machine creation can be improved; and moreover, even when a virtual machine creating process needs to be adjusted, only a part of the steps needs to be amended, workloads can be effectively reduced, the complexity in the virtual machine creation process is lowered, and maintainability and scalability can be improved.

The invention provides portable airplane communication navigation system detection equipment. A radio frequency signal analysis assembly, a radio frequency signal generation assembly, a control assembly and the like are arranged in a body. The radio frequency signal analysis assembly comprises a standing wave analysis module, a power/frequency analysis module, a 30dB attenuator, two radio frequency input ports and a radio frequency output port. The radio frequency signal generation assembly comprises a radio frequency module, a programmable attenuator, a communication signal output port and anavigation signal output port. The control assembly comprises a main control unit, a touch display and the like. The invention further provides a detection method of the aircraft communication navigation system. The method aims to solve the technical problems that hidden faults of an external field communication system cannot be found, the number of first-line maintenance support devices of a navigation system is large, and a compass cannot be checked due to the fact that compass signals cannot be received in a machine shed and a machine fort. One-line in-situ performance detection of communication equipment such as a short-wave radio station, an ultra-short-wave radio station, a filter, a power adapter, an antenna and the like can be quickly completed, and the equipment and method are suitable for checking communication navigation equipment of various models.

The invention provides an elevator car door machine fault judgment method and system based on a current monitoring technology. The system comprises a current transformer, a collection board, a monitoring platform and terminal equipment. The method comprises the steps of acquiring real-time current data of a car door machine and processing and converting the real-time current data into a corresponding current value so as to generate monitoring data, and uploading the monitoring data to the monitoring platform; meanwhile, judging the obtained current value according to a preset rule, and when itis judged that a fault occurs, generating a corresponding fault code and uploading the fault code to the monitoring platform, wherein the monitoring platform is provided with fault description information corresponding to the fault code; when the fault code is received, matching the fault code with the corresponding fault description information, and then displaying the fault code and the fault description information; and providing an information sharing interface which is used for allowing the terminal equipment to have access to and transmitting the real-time monitoring data, the fault code and the corresponding fault description information to the terminal equipment by the monitoring platform.

The invention discloses an error detection method and system of a network card device. The error detection method comprises the steps of domain name system detection in which a valid target domain name server is determined and whether the target domain name server can be accessed is determined; router detection in which a route detection table is obtained, target data in the route detection table is extracted, and whether the network is connected is determined according to the target data; and network data interface detection in which whether a network data interface can obtain an error data packet is determined. Thus, different parts of the network card device can be detected in one step in a targeted manner, faults can be accurately located, troubleshooting can be implemented conveniently according to the faults, and hidden trouble of network errors can be effectively avoided.

The invention discloses a fan fault inversion method and system based on 3D simulation and panoramic time series data sampling, and the method comprises the following steps: obtaining the measurementdata of a fan, and storing the measurement data of the fan in a time series database at the same time interval according to the time sequence; obtaining inversion starting and ending time of historical fault events of the fan; querying all measurement data of the fan in the inversion starting and ending time periods from a time sequence database, and generating a section data stream with continuous time; and driving the fan 3D model to perform simulation by taking the section data flow with continuous time as a data source so as to display the whole running state process before and after the historical fault of the fan occurs.

An embodiment of the invention relates to the technical field of communication, and discloses a network element fault positioning method and device, computing equipment and a computer storage medium.The method comprises the steps: constructing a simulated public data network gateway, and enabling the simulated public data network gateway to be connected to a long-term evolution voice bearing network; determining a relationship between any test number in the test data and the network element; aiming at any test number, deploying a test task and a test path according to the relationship betweenany test number and the network element and the network topology condition of the long term evolution voice bearing network, and obtaining alarm information; positioning a fault network element according to the test path of the test task and the alarm information. By means of the mode, the VoLTE IMS domain network element fault early warning method and device can rapidly find out the VoLTE IMS domain network element fault which is actively warned and accurately positioned in a fault hidden danger mode, prevent alarm missing and false alarm, and improve the VoLTE network quality.