1848 results about "Fault treatment" patented technology

The method comprises: using a sensor to collect the characteristic signals; the collected signals about each kind of running state are sent to the data processing module; after processed, the signals are sent to the computer system; said computer system comprises a device database, a symptom event database, a diagnosis knowledge database; a device database and signal analysis module, a symptom acquiring module, a diagnostic reasoning module, and a diagnosis explaining module; the software of the data processing module makes data exchange; the symptom event database exchanges data with the diagnostic module, data processing module; the diagnostic knowledge exchanges the data with the failure processing module, knowledge acquiring module and data processing module.

The system of safe torque monitor for mixed power automobile is one four layer structure including one functional layer for completing various controls, one limiting layer for limiting the extreme values of functional layer signals, a redundant monitoring layer for detecting the functional layer signals and one physical detection layer for detecting the normal operation of the memory areas and the program flows. The present invention can control the output torque of the mixed power automobile and monitor the operation state of the power units to raise the safety and reliability of the mixed power automobile. The present invention also discloses one kind of safe torque monitoring system for mixed power automobile, and the system includes an engine controller module, a multiple power source controller module, a motor controller module, etc and can raise the reliability of mixed power automobile.

A system (100) for analyzing a fault includes a fault object factory (110) constructed and arranged to receive fault data and create a fault object (112), and a fault diagnosis engine (101) constructed and arranged to perform root cause analysis of the fault object. The system may further include a fault detector (130) constructed and arranged to detect the fault data in a monitored entity, a fault repository (140) constructed and arranged to store and access the fault object; and a fault handler (150) constructed and arranged to be triggered by the fault diagnosis engine to analyze the fault object.

A guaranteed distributed failure notification method is described, wherein a failure notification (FN) facility allows applications using the facility to create FN groups to which the application associates an application state. The application registers failure handlers with the FN facility on nodes in the FN group; each failure handler is associated with a specific FN group. When, on a given node, the FN facility learns of a failure in the FN group, the facility executes the associated failure handler on that node. System failures detected by the application are signaled to other FN group members using the facility. The facility detects system failures that occur in an overlay network on which the facility is implemented, and signals a failure notification to the other FN group members.

The intelligent gateway device for vehicle controller LAN includes LAN bus interface, Ethernet interface, radio network interface, data back-up module, intelligent microcontroller, bus, other bus interface, vehicle control unit, phonetic and display interface and real-time data analyzing module. The device realizes the conversion between modularized LAN protocol and other network protocols, WWW web page browsing, display, phonetic prompt, etc; has running data analysis, record, control and other vehicular computer functions; and may be used widely in running state monitoring, data record, fault treatment, etc. of vehicle with LAN interface.

The invention relates to a power distribution network single-phase disconnection judging and addressing method based on a load measuring and recording system. The method comprises the following steps of: I, mounting a load measuring and recording system on a power distribution network feeder line, and acquiring the values of three-phase voltage, current and 3V0 of a pole-mounted transformer from the load measuring and recording system mounted on the power distribution network feeder line at regular time; II, comparing the voltage and current values acquired from the load measuring and recording system mounted on the power distribution network feeder line with the voltage and current values of a power distribution network single-phase disconnection fault database to judge the disconnection fault type; and III, in combination with the single-phase disconnection fault type judged in the step II, performing single-phase disconnection fault addressing by a forward sweeping method or backward sweeping method based on the load measuring and recording system, and performing fault treatment. Compared with the prior art, the method provided by the invention has the advantages that: the correct judgment of the power distribution network single-phase disconnection fault phase and the effective addressing of the fault position can be performed based on the measured data of the load measuring and recording system in combination with the power distribution network single-phase disconnection fault database and the like.

The invention provides an intelligent fault diagnosis method of a numerical control machine tool. The intelligent fault diagnosis method uses fault tree diagnosis as a base, faults are diagnosed by combining a Bayes probability and rule reasoning method, fault cause is found, and maintenance advices are proposed. The intelligent fault diagnosis method includes: firstly extracting fault information from historical maintenance records and machine tool operation instructions, and establishing a numerical control machine tool fault information knowledge base; searching fault trees belonging to a fault position in the fault information knowledge base according to fault characteristic information, calculating probability of occurrence of each fault tree under the current condition if a plurality of fault trees fit conditions, and determining sequence for diagnosing the fault trees according to size of the probability; and finally judging whether all sub-events of top events of the fault trees occur, returning to a fault treatment method corresponding to the events and serving as a solution if the sub-evens are bottom events of the fault trees, otherwise searching sub-events of the events continuously until finding all bottom events fit the fault characteristic information. The intelligent fault diagnosis method of the numerical control machine tool is rapid in diagnosis speed and accurate and reasonable in diagnosis result.

The invention discloses an automobile steering-by-wire system SBW with a redundancy and fault tolerance structure and control method, wherein the system comprises a main control chip, a heavy-current circuit, a detection module, a treatment module and an execution motor, characterized in that the system also comprises a standby chip and a standby heavy-current circuit, when fault occurs, the treatment module screens the main control chip and the standby chip and the standby heavy-current circuit are started. The automobile steering-by-wire system also comprises a standby sensor circuit, and the sensor circuit is directly connected with a plurality of sensors of the automobile by the standby connection. The hardware redundancy is combined with the software redundancy to ensure the completeness of the SBW and the entire car loaded CAN communication gives the fault treatment communication and alarm way, thereby the system can be maintained when the fault occurs. The SBW system reliability, safety, real-time communication performance can be increased and optimized, therefore the structure is simple and the industrialization benefit is high.

The invention discloses a method for remotely monitoring the real-time working condition of engineering mechanical vehicles, which comprises a step of data acquisition: acquiring all types of real-time working condition data and GPS positioning date, a step of data preprocessing: filtering and smoothing the acquired working condition data to obtain effective working condition data, a step of data upload: uploading the acquired effective working condition data and GPS positioning date to a control center, a step of data processing: generating charts and report forms of all types of working condition data corresponding to the engineering mechanical vehicle, and a step of remote fault early warning: sending early warning prompt message when the uploaded effective working condition data exceeds/lowers the early warning threshold. The method of the invention can realize the remote monitoring of the real-time working condition of engineering mechanical vehicles, has characteristics of real-time and overall acquisition of working condition data, accurate and timely fault analysis, convenient and quick fault treatment, and can greatly reduce the management cost on the engineering mechanical vehicles.

The invention relates to an intelligent automatic alarm system based on internet of things technology. Particularly, a solution is provided for 24-hour real-time monitoring of working state and fault treatment of front-end equipment of a perfect analog video system. The intelligent automatic alarm system is realized by the steps of: mounting security equipment and performing system debugging; sending a preset command by a system server to trigger the front-end equipment to acquire data; analyzing basic state data of the front-end equipment; performing video quality analysis on the obtained video data; and integrating the basic state data analysis result and the video quality analysis result of the front-end equipment, diagnosing whether a monitored link and the front-end equipment are in a normal state or not, and reporting a diagnosis result to a user. The intelligent automatic alarm system provided by the invention realizes intelligent and centralized management of various front-end equipment (such as a camera gun, a high-speed ball, an optical transceiver, an optical fiber ball and the like), and realizes 24-hour real-time monitoring of these equipment; and once an exception is found, an alarm is given quickly, so that an operator on duty can confirm the exception rapidly.

The invention relates to a variable propeller pitch control system of a wind driven generator which is characterized in that the variable propeller pitch control system consists of a central control cabinet, a plurality of shaft cabinets connected in parallel and controlled by the central control cabinet as well as a group of DC motors and transmission devices which are singly controlled by each shaft cabinet; the central control cabinet includes a PLC control unit and a control interface. The PLC control unit of the system of the invention realizes the multiple functions of closing the loop at the rotating angle position of a blade, charge control for a battery, controlling the temperature of a box body, fault processing, etc. An upper computer transmits a single position signal to the PLC control unit; when an error does not happen or happens to the position signal, then the PLC control unit considers the error to be a fault and sends out a command duly to adjust the blade to a safe position, namely a feathering position, thereby simplifying the control procedure of the blade and increasing the running reliability of the blade; the driving of the blade is realized by the DC motor; the control characteristic is more stable due to linear control.

Disclosed is a batch upgrading method in cluster network, which relates to upgrading software for cluster network equipment; the concrete steps include that: 101 an upgrading control server which is also used as a main file server is deployed; 102 relay file servers and end equipments are set, and the relay file servers are started to download upgrading files; 103 when the downloading is over, step 104 is carried out; 104 the upgrading process of the relay file servers is started; the end equipments are started to download the upgrading files; 105 when the downloading is over, step 106 is carried out; 106 the upgrading process of the end equipments is started; 107 the upgrading state is inquired, and faults are handled; 108 all relay servers and end equipments are restarted again. The batch upgrading method in cluster network only needs to deploy a main file server and a small quality of relay file servers to realize the software for the batch upgrading of equipments in cluster network efficiently, rapidly and controllably based on cluster protocol; meanwhile, the software is easy for implementation and extension.

The invention discloses a power distribution network fault processing method based on multi-source information fusion. The method includes five steps of 1) multi-source information searching, 2) fault data information collection, 3) fault model matching, 4) fault location and 5) fault processing. According to the method, a fault source is located by means of multi-source information collection and information matching, then fault processing and disclosing are conducted, the specific fault source can be accurately and timely located when operation faults of a power distribution network occur, corresponding processing is conducted, an auxiliary decision making function is provided for first-aid repairing and management of the faults, automation building of the power distribution network can be promoted quickly, and good application prospects are obtained.

The invention discloses an electric energy meter fault prediction method based on a decision tree algorithm. The electric energy meter fault prediction method comprises the following steps: acquiring relevant data of a user by using an acquirer and eliminating wrong data; analyzing whether electric energy meters which have abnormal environments and abnormal quality exist in specific power transformer users and low-voltage users within statistical time buckets; counting whether metering and electricity utilization abnormal events which meet requirements of fault judgment exist for the special power transformer users, and counting whether metering abnormal events which meet requirements of fault judgment exist for the low-voltage users; establishing an electric energy meter fault prediction model by using the decision tree algorithm according to manufacturers corresponding to the electric energy meter and information of failed batches and on the basis of electric energy meter metering fault information of a marketing system; judging whether the result is accurate or not; if the result is accurate, finishing the process; and if the result is inaccurate, continuing judging faults. By the electric energy meter fault prediction method based on the decision tree algorithm, failed electric energy meters can be found out accurately in time, so that workload of field investigation and metering fault treatment of an examination department is reduced.

The invention provides a fault-tolerant framework for a computer fault management system. The fault-tolerant framework is divided into two parts, namely a user space and a kernel space and comprises a fault management core unit 1), a checking point processing module 2), a fault management redundancy unit 3), an agent receiving module 4), an agent sending module 5), a kernel fault management core unit 6), a kernel event transmission channel 7), a kernel fault processing module 8) and a kernel fault management redundancy unit 9).

A method and apparatus are provided for identifying a defective processor of a plurality of processors of a multi-processor system. In such method, a first command is submitted to a first processor and to a second processor within the multi-processor system. The first command is executed by each of the first and second processors. A first result of executing the first command by the first processor is compared with a second result of executing the second command by the second processor. A hard error is indicated when the first result does not match the second result. To further isolate a fault within the system, commands are submitted to different pairings of processors and the results are compared to isolate a faulty processor from among them.

The invention discloses an electric vehicle charging fault intelligent diagnosis system and a method. The diagnosis system comprises an information acquisition module, a fault judgment module and a fault processing module, wherein the information acquisition module is used for acquiring fault codes, on-off state information and operation state information of a power battery, a charging pile and power supply equipment, and sending the fault codes and the information to the fault judgment module; the fault judgment module is used for determining the fault position and level according to the information sent by the information acquisition module; and the fault processing module is used for giving a warning or cutting off a power supply circuit according to the judgment result of the fault judgment module. By analyzing the integrated safety action mechanism among the power battery, the charging pile and the power supply equipment and performing corresponding safety decision and control execution according to the fault influence type, diagnosis of the charging fault of the electric vehicle can be quickly realized, the fault point can be found out, and the charging safety of the electricvehicle is effectively improved.

The invention discloses a compressive guarantee system for equipment based on an IETM. The compressive guarantee system comprises a business system and a platform support system, wherein the business system comprises an IETM system, a training learning system, an automatic test and diagnosis system, a maintenance support informatization system and a knowledge base system, wherein the platform support system comprises a cloud platform storage system and a compressive management system. The compressive guarantee system disclosed by the invention is combined in image-text, linked in audio and video, visual and intuitional, and friendly to interface, and is capable of carrying out three-dimensional demonstration, operation and decomposition, automatic navigation, depth search, phenomenon and fault association, automatic test and smart fault analysis; the compressive guarantee efficiency is improved; the operating error rate is reduced; the use and maintenance complexity of the system is lowered; the fault treatment time is shortened; the test time is shortened; the compressive guarantee system is a scientific and reasonable training system; the training learning cycle is shortened; a knowledge base system is accumulated and shared; and the dependence on personal experience is reduced.

The invention provides a compound type high-voltage direct current transmission system which comprises at least one rectifier station, a contravariant station and an aerial electric power transmission line. The rectifier station and the contravariant station both comprise positive electrodes and negative electrodes, a thyristor current converter is adopted in the rectifier station, a positive electrode and a negative electrode of the thyristor current converter both comprise at least one twelve-impulse thyristor current converter, a voltage source current converter which has direct current fault processing capacity is adopted in the contravariant station, and a positive electrode and a negative electrode of voltage source current converter both comprise at least one multi-level current converter with two series-wound modules. Connection points of the positive electrodes and negative electrodes of each station are connected with a grounding electrode or a local network according to operation mode, a double electrode ground return wire or a single ground return wire or a single electrode metal return wire, of the direct current transmission system. By means of the compound type high-voltage direct current transmission system, a commutation failure of the contravariant station in the direct current transmission system is avoided, operation mode is flexible, reliability is high, and project cost is reduced. Besides, the advantages of the thyristor current converter and the voltage source current converter are integrated, and thus the compound type high-voltage direct current transmission system has direct current side fault processing capacity.

The invention relates to the technical field of service fault treatment and discloses a service fusion isolation system and a service fusion isolation method. By real-time statistics of system monitoring conditions, services are protected according to different degradation strategies, and user experience is improved by asynchronous detection of service health conditions after fusion, automatic health recovery of the services and returning of preset call-back results after fusion. In addition, the problem of dependence of the system on uncontrollable risks is solved, fault tolerance and stability of the system are improved, dependence system abnormality can be discovered in real time to facilitate fault positioning, and abnormality solution is accelerated.

The invention discloses a switching method for processing a fault of a dual-redundancy computer, which comprises the following steps that: 1, a system is powered up, a master device carries out control inhibition and a slave device carries out control inhibition; 2, the slave device carries out real-time monitoring on the state of the system; 3, the slave device judges whether the master device normally works, if yes, the master device carries out control output and the slave device carries out backup monitoring, and if no, the step 4 is executed; 4, the master equipment notifies the slave equipment fault information; and 5, the master device carries out control inhibition and the slave device implements switching control output and simultaneously monitors the master device. According to the switching method for processing the fault of the dual-redundancy computer, which is disclosed by the invention, the fault logicality is implemented by adopting a discrete magnitude signal and a FPGA (Field Programmable Gate Array), the fault judgment, the fault information transmission and the master and slave function switching of the master and slave devices are completed in real time.

The invention discloses a network monitoring method and a network monitoring system to solve the problems that the processes for performing analysis and fault elimination in the current network optimization and fault treatment flows have low real-time, poor accuracy and low efficiency. The network monitoring method provided by the invention comprises the following steps that: a network side receives session information reported by each terminal when sessions performed by the terminals respectively have abnormal events; according to the session information reported by a first terminal in the terminals, the network side acquires network side signaling information, which is received and transmitted during the time when the session information reported by the first terminal happens and belongs to corresponding sessions of the terminal, from acquired signaling information received and transmitted by a network side network element; and the network side performs fault analysis according to the session information reported by the first terminal and the acquired network side signaling information.

The invention discloses a method for graded treatment of elevator faults. The method comprises the steps as follows: grading elevator fault information; and receiving an instruction of removing locking of faults in preset grades on elevator running, generating a fault treatment information packet, and removing the locking of the faults in preset grades on elevator running according to the fault treatment information packet. The invention provides a corresponding device. Due to the method and the device, faults can be displayed in real time, current fault information can be obtained without the presence of professional staffs, and historical fault information can be conveniently inquired. The locking of the faults in specific grades on elevator running can be quickly and forcibly removed to rescue passengers and then the fault conditions are checked and removed in detail.

The invention discloses a fault alarm processing method, comprising the following steps: a rule engine receives multi-dimensional fault alarm information inputted from a monitoring platform; the faultalarm information is logically judged based on the configuration rule to determine the fault cause of the current alarm; based on the fault cause, the operation and maintenance database is retrievedto obtain a fault treatment scheme corresponding to the fault cause. The invention also discloses a fault alarm processing system and a computer-readable storage medium. The invention improves the timeliness and accuracy of fault alarm processing and enhances the fault operation and maintenance efficiency.

The invention discloses a BIM-based digital twin smart machine room management method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the operation data of a to-be-monitored object in real time, storing the operation data in an operation and maintenance database, and updating an integrated BIM model of a to-be-monitored scene; judging whether theto-be-monitored object is in a fault state or not according to the operation data: if the to-be-monitored object is in the fault state, displaying an alarm identifier for the to-be-monitored object inthe fault state on the integrated BIM model, and taking the to-be-monitored object corresponding to the alarm identifier as a to-be-processed object; displaying the alarm information corresponding tothe to-be-processed object, performing fault diagnosis on the to-be-processed object, generating a maintenance work order, and obtaining a fault diagnosis result and the maintenance work order; according to the fault diagnosis result, recommending a fault solution corresponding to the to-be-processed object by utilizing a preset neural network model. According to the invention, a user can maintain the data center efficiently, and the fault processing efficiency is improved.

The invention relates to an operation optimum management control system and a method of a thermal generator set. The control system comprises a data collection module, a data effectiveness checking module, a data storage module, a fault analysis module and a warning and display module, wherein the data effectiveness checking module is connected with the data collection module and is used for carrying out the effectiveness checking on original values of real-time operation work condition information of the thermal generator set in the power generation site collected by the data collection module, thus obtaining the effective value of the real-time operation work condition information, the data storage module is connected with the data effectiveness checking module, and is used for storing the effective value of the real-time operation work condition information of the thermal generator set in the power generation site, the fault analysis module is connected with the data storage module, and the warning and display module is connected with the data storage module and the fault analysis module. The invention has the advantages that the thermal generator set in the power generation site can be effectively monitored and managed in a remote way, the labor cost can be reduced, the times for in-site maintenance can be reduced, or the in-site maintenance can be avoided, the maintenance cost and the fault processing time can be saved, and in addition, the safety and the reliability are high.

A distribution network monitoring and control system for monitoring and controlling a distribution network system including monitoring and control means for taking in an information and for outputting a control information for the switches thereof, status grasping means for judging charging and outage state of the distribution network system, switch status take-in means for taking in status of the switches in a range to which power was transmitted when the fault was generated, fault section judging means for judging a fault section according to a fault information, and fault section expanding means for expanding a fault section to a load side when status of the switches at the load side of the fault section cannot be taken out and for notifying an expanded fault section to the fault section judging means. The fault section judging means decides the expanded fault section as the fault section. The distribution network monitoring and control system further includes, fault processing means for isolating the fault section from the distribution network system and for executing recovering operation to an outage section, and recovering procedure preparation means for preparing a recovering operation procedure to the outage section.