8445results about How to "Improve maintenance efficiency" patented technology

The invention relates to the field of elevators. In order to early discover and diagnose A elevator fault, the invention adopts the technical scheme that an elevator fault diagnosis and early-warning method based on data drive is achieved by means of a remote service center, a fault diagnosis and prediction terminal and an elevator controller, and the method comprises the steps as follows: firstly, elevator fault data are mined to obtain characteristic information in an elevator fault data stream, and the mined result is stored in an elevator fault case base of the fault diagnosis and prediction terminal; secondly, an elevator fault knowledge base on the fault diagnosis and prediction terminal is updated by the elevator fault case base; thirdly, the case retrieval is carried out on the characteristic of a new elevator fault problem, and the fault diagnosis is carried out on the elevator system by adopting the fault diagnosis method based on the case-base reasoning; and finally information with the characteristic that is most similar with that of the new elevator fault problem is acquired through retrieval of the knowledge or the case in the elevator fault knowledge base to solve the diagnosis problem. The method is mainly suitable for manufacturing and designing image sensors.

The invention discloses an intelligent inspection system and an inspection method for an electric transmission line by an unmanned aerial vehicle. The intelligent inspection system comprises an inspection mission planning system, a dispatching system, a monitoring system, an inspection result processing platform and mobile branch stations, wherein the inspection mission planning system communicates with the inspection result processing platform and the dispatching system respectively; the inspection result processing platform and the dispatching system communicates with the monitoring system respectively; the monitoring system is connected and communicate with the mobile branch stations. The inspection method has the benefits that factors of the inspection unmanned aerial vehicle, inspection equipment, an inspector, and the like accessing the dispatching platform through a dispatching terminal can be dispatched effectively to realize equipped configuration of unmanned aerial vehicle inspection resource; the usage rates of personnel and equipment can be improved; the no-load rate and vacancy rate of the inspection equipment are reduced; through centralized monitoring of condition information inspected by the unmanned aerial vehicle, unmanned aerial vehicle inspection dispatching personnel can master unmanned aerial vehicle inspection in the large effectively; the service life of the unmanned aerial vehicle is prolonged.

The invention provides an alternating current charging pile system on the basis of a TD-LTE (time division long term evolution) network. Application of the TE-LTE network is combined. A charging pile substation serves as a site management center of alternating current charging piles, an analysis result on fault diagnosis of the site charging piles is provided via an embedded WEB server, aerial update service is provided for site charging pile firmware, load for an alternating current charging pile group is controlled and scheduled, remote fault diagnosing and monitoring and program updating service are realized, maintaining efficiency is improved, orderly charging is guaranteed by load controlling and scheduling, normal power supplying is reduced, charging quality for users is guaranteed, and stability of a power grid is maintained.

The invention discloses an LSTM deep learning model-based hydropower unit fault diagnosis method and system. The method comprises the steps of obtaining sampling sequences of N different signal channels of a hydropower unit, and performing VMD on each time sequence to obtain K IMF components; constructing corresponding training sets and to-be-diagnosed sets; building an LSTM model for the trainingset of each IMF component, and performing feature extraction on each IMF component through two LSTM layers; connecting outputs of K LSTM layers of the same signal channel to a Dense layer; through aSoftmax layer, performing feature classification on outputs of multiple Dense layers; and training a deep learning neural network model through an RMSProp gradient descent algorithm, and diagnosing the to-be-diagnosed sets by the trained model. According to the method and the system, the relatively good signal-noise separation effect of the VMD is combined with the processing advantage of an LSTMto the time sequences, so that the hydropower unit fault diagnosis accuracy is effectively improved.

The invention relates to a resource allocation system in a private cloud environment. The system comprises a global policy controller, cloud application policy controllers and group policy controllers, wherein a resource manager interacts with a resource exploring proxy, receives index data, judges whether an alarm is generated for the index data or not according to alarm conditions, and if so, submits the alarm to a policy control network; the group policy controller first processes the alarm, generates a resource adjusting plan if the alarm can be processed, and reports the alarm to the cloud application policy controller if the alarm cannot be processed; the cloud application policy controller processes the received alarm, generates the resource adjusting plan if the alarm can be processed, and reports the alarm to the global policy controller if the alarm cannot be processed; the global policy controller processes the received alarm and generates the resource adjusting plan; the policy control network returns the resource adjusting plan to the resource manager; and the resource manager executes the resource adjusting plan. By constructing graded control policies and assisting coordination mechanisms among the control policies in different grades, the invention effectively improves the utilization rate of private cloud resource.

The invention provides a vehicle fault remote diagnosis system, which includes a remote diagnosis ECU and a remote diagnosis server. The remote diagnosis ECU is connected with a CAN bus of a vehicle. The remote ECU collects fault information stored in ECUs on the vehicle and collects real-time dynamic information of the vehicle according to the needs of a user. Meanwhile, the remote diagnosis ECU executes the real-time information interaction between the vehicle and the remote diagnosis server. The ECUs on the vehicle refer to all the other ECUs on the vehicle except the remote diagnosis ECU. The remote diagnosis server stores an ECU diagnosis database, the vehicle model and the vehicle VIN code information, sends the collected diagnosis request of the user to the remote diagnosis ECU, and converts fault data returned by the remote diagnosis ECU into a diagnosis result which is sent to the user. According to the invention, a faulty vehicle can be remotely diagnosed in real time, the influence of the remote diagnosis on the normal running of the vehicle is eliminated, and the vehicle driving safety is ensured.

A method of forming a semiconductor device is provided, including a step of forming a layer which absorbs light over one face of a first substrate, a step of providing a second substrate over the layer which absorbs light, a step of providing a mask to oppose the other face of the first substrate, and a step of transferring the part of the layer which absorbs light to the second substrate by irradiating the layer which absorbs light with a laser beam through the mask.

A self repair device may include: an electrical fuse array configured to store bit information of a failed address in a fuse; an electrical fuse controller configured to store a row address or column address corresponding to a failed bit when a failure occurs, generate a repair address by comparing a failed address inputted during a test to the address stored therein, output a rupture enable signal for controlling a rupture operation of the electrical fuse array, and output row fuse set data or column fuse set data in response to the failed address; and a row / column redundancy unit configured to perform a row redundancy or column redundancy operation in response to the row fuse set data or the column fuse set data applied from the electrical fuse array.

The invention provides a vehicle fault solution method and device. The vehicle fault solution method comprises the steps of reading a fault code existing in a fault module, judging whether the fault code exists in a fault code list of a database or not, querying the fault code in the database to obtain a corresponding service manual if the fault code exists in the fault code list, positioning and intercepting the service manual to generate a first fault solution and displaying the first fault solution on a display interface for reference of a maintainer. According to the vehicle fault solution method, automatic obtaining of the fault solutions is achieved, maintenance efficiency is improved, sharing of the fault solutions is achieved, obtaining approaches of the solutions for difficult faults are increased, and usability is improved.

The invention relates to a device fault pre-maintenance method based on an industrial wireless technology. In the method, through data communication of an industrial wireless network and an industrial Ethernet, real-time monitoring and fault pre-maintenance are performed on an on-site device. The method includes the following steps: an upper computer performs parameter configuration on on-site instruments, which are used for monitoring the device, through the industrial Ethernet and the industrial wireless network; the instruments acquire sensor information of the on-site device according to the parameter configuration and upload result data, which is obtained after local processing of the sensor information, to the upper computer through the industrial wireless network and the industrial Ethernet; the upper computer performs fault diagnosis according to the result data and judges the operation state of the device; and if the fault diagnosis result is obtained, on-site maintenance personnel are notified through a fault alarm so as to maintain the device.

The invention discloses an equipment state prediction method based on fault tree information, comprising the following steps: firstly, searching a fault tree model, representing each event in the model by different variables, and representing a logic gate in the model by the structural relationship set of the variables; successively calculating fault reason variable prior probability distribution sets in a fault prediction model; calculating the conditional probability distribution of a fault mode variable and the conditional probability distribution of a fault transferring variable in the fault prediction model; representing the practical fault detection phenomenon of the equipment by a corresponding fault detection variable in the fault prediction model; according to incidence relation represented in the structural relationship set of the fault detection variables, calculating the conditional probability distribution of the fault detection variable in the fault prediction model; and according to the fault detection phenomenon real-time information collected on site, calculating equipment fault mode posterior probability state distribution. The invention can quickly and accurately predict the real-time state of the equipment, guides the monitoring and maintenance for equipment, effectively improves the maintenance efficiency and lowers the maintenance cost.

The invention discloses a high-speed rail large-scale bridge performance evaluation method based on health monitoring data, which relates to the field of bridge engineering detection. The high-speed rail large-scale bridge performance evaluation method comprises the steps of arranging an automatic sensor hardware equipment system on a high-speed rail bridge in an optimized manner, achieving automatic data acquisition, carrying out denoise processing, time domain statistical processing, frequency domain processing and the like on measured data in sequence, and evaluating bridge running safety performance based on the health monitoring data. The high-speed rail large-scale bridge performance evaluation method meets the actual requirements of high-speed rail bridge detection and evaluation, can reflect the running safety of the high-speed rail bridge accurately and timely, and provides important guarantee for the safe running of high-speed trains; the evaluation results obtained through adopting the method are unified with the high-speed rail conventional detection and evaluation results, thereby facilitating the actual application of the method for the bridge managers; and decision-making suggestions for targeted bridge maintenance and repair are made on the basis of the evaluation results obtained through adopting the method, thereby being conductive to implementing timely maintenance and dynamic maintenance, and greatly improving the bridge overhaul efficiency.

The invention relates to a high-speed train running gear fault diagnosis and remote monitoring system based on Internet of Things (IOT). The system provided by the invention comprises vehicle-mounted sensors, a signal conditioning and filtering device, a central processing system, a data input and output interface device, a vehicle depot information collection system, a nationwide train maintenance system and a man-machine interaction device. With the arrangement of a plurality of the vehicle-mounted sensors, accurate fault identification and positioning of key equipment of running gears are realized, prediction of faults is realized, train operational risks are reduced, remote diagnosis of faults is achieved, fault diagnosis cost is lowered, and fault diagnosis cycle is shortened.

The invention discloses a perpendicular rope climbing patrolling robot in ultra-deep vertical shaft steel-rope guide. The perpendicular rope climbing patrolling robot comprises an explosion-proof shell, a driving mechanism, a wheel mechanism, a clamping mechanism, a carrying mechanism and an electric control device. The explosion-proof shell comprises an upper driving shell body, a lower driving shell body, a driver shell body, an electric control device shell body and a carrying mechanism shell body. The driving mechanism comprises an upper driving part, a lower driving part and a motor driver. The wheel mechanism comprises an upper driving wheel part, an upper left side driven wheel part, an upper right side driven wheel part, a lower driving wheel part, a lower left side driven wheel part and a lower right side driven wheel part. The clamping mechanism comprises a left side clamping part and a right side clamping part. The carrying mechanism comprises a movable trolley, an intrinsic safety camera and a cloud deck. The rope climbing patrolling robot can meet the explosion-proof requirement of a coal mine, can climb on the ultra-deep vertical shaft steel-rope guide and can monitor the strain of the shaft wall and the derrick structure situation.

The invention relates to the field of air conditioner control, in particular to an internet-based automatic fault repair and detection method of a frequency-conversion air conditioner. The internet-based automatic fault repair and detection method of the frequency-conversion air conditioner mainly comprises an automatic fault detection step and an automatic fault repair step. Thus, the problems of the frequency-conversion air conditioner can be fast and accurately reflected, one-time solving of multiple problems is achieved, and repair efficiency is increased.

The invention relates to a self-cleaning device which comprises a device main body, a driving module, a cleaning module and a sensing module, wherein the device main body comprises a chassis and an upper shell fixed on the chassis; the driving module is connected with the chassis and is used for driving the self-cleaning device to advance according to a preset line; the cleaning module is distributed in the device main body; the sensing module is assembled on a preset position of the upper shell and is used for acquiring the condition of barriers at the periphery of the self-cleaning device; the driving module, the cleaning module and the sensing module are respectively assembled on the device main body in a detachable way. All the function modules in the self-cleaning device provided by the invention are respectively mounted in accommodating space reserved on the device main body and can be independently detached from the device main body, so that the damaged function modules can be independently detached for conveniently repairing or replacing new function modules and the repairing efficiency of the self-cleaning device is greatly increased.

The invention provides an intelligent alarm monitoring method of a neural network. A brand-new intelligent communication network comprehensive monitoring analysis and fault locating system is built by adopting an alarm correlation analysis and locating technology based on an expert system of the neural network. The system guarantees effective monitoring of repeated alarming, alarm oscillation, alarm flash and alarm storm by collecting the alarm data of each piece of equipment of each network element system of each major, and filters out a storm alarm, a flash alarm, an invalid alarm and a secondary alarm correctly; and the system can pick out an important alarm event which is really required to be processed from the collected mass alarms based on a deep correlation rule analysis and neural network technology, and can locate and remove a network fault quickly and correctly. The correction rate of network alarm analysis and fault diagnosis can be improved obviously, customer satisfaction is improved, and operating cost and maintenance cost are reduced greatly, so that the aims of reducing the work load of an operator and a maintainer and improving the efficiency of fault management are fulfilled.

The embodiment of the invention discloses a service rule matching processing method and device and processing equipment. The method can comprise the steps that a rule matching request is received, andthe rule matching request comprises a service parameter and a service type; a target rule type corresponding to a rule center is determined according to the service type, the rule center comprises aprecompiled and cached service rule set of different rule types; a matched service rule is found in the service rule set of the target rule type according to the service parameter; and execution logicof the found matched service rule is returned. The service rule matching processing method and device and the processing equipment have the advantages that the complexity for different types and maintenance of different data can be reduced, and the efficiency of service rule matching and maintenance is greatly improved.

The invention provides an online and intelligent optical cable monitoring and fault positioning system based on a GIS platform. The online and intelligent optical cable monitoring and fault positioning system comprises a monitoring unit and a positioning unit, wherein the monitoring unit comprises an intelligent diagnosis mainframe, a diagnosis unit and a PC terminal display unit, the intelligent diagnosis mainframe comprises a central processing unit and an optical time domain reflectometer module, an optical path switching module and an optical power monitoring module connected with the central processing unit, the diagnosis unit comprises a power module and a light source device, an optical coupling module and an optical protection module connected with the power module, and the positioning unit comprises a fault locator arranged in an optical cable. Information is processed by calling optical cable information in time, and meanwhile the system can flexibly utilize a geographic information system (GIS) technology, adopts rack-type integration, and is high in integration level, good in stability and high in expandability. When breakdown occurs, the system can clearly display fault GPS points and fault types, maintainers can perform accurate positioning through a GIS map, and accordingly the maintenance efficiency is improved.

A system and method is disclosed for enabling individualized software functions in a device. In accordance with one embodiment of the present invention software is distributed as omnibus installations containing various software modules that are initially turned off. The user gains access to the turned off modules by requesting a certificate from a system provider. The system provider creates and transmits a certificate containing the information required to enable the desired module. The device can then use the certificate to access the desired software.

The invention relates to a fiber link fault recognition method, a device and a system. The method comprises the following steps: detecting power of one or a plurality of optical network units in real time; when detecting a fault in the fiber link corresponding to a certain optical network unit, extracting at least two upstream optical power values in the fiber link fault occurrence process; and according to the upstream optical power values in the fiber link fault occurrence process, recognizing the fault type of the fiber link corresponding to the optical network unit. The fiber link fault recognition method of the embodiment of the invention detects whether a fault exists in the fiber link corresponding to the optical network unit in real time by detecting the power of the optical network units in real time. When detecting a fault in the fiber link corresponding to the optical network unit, the upstream optical power values in the fiber link fault occurrence process are extracted, and the fault type of the fiber link is recognized in real time according to extracted power values.

A multi-word line refresh-type semiconductor device may have a plurality of memory banks and performs a refresh operation simultaneously with respect to a plurality of word lines for each of the banks in a self-refresh mode. The semiconductor device includes an address controller for receiving a normal address and a refresh address and selectively outputting the received refresh address in a refresh mode, a fuse circuit for receiving the refresh address, determining whether the received refresh address corresponds to a word line to be repaired and outputting a redundancy word line enable signal and a first control signal according to a result of the determination, a first signal generator for, in response to a bit value for block selection of the refresh address and the first control signal, outputting a second control signal which defines a multi-word line refresh period, a refresh address generator for generating the refresh address in response to the second control signal, and a row controller for receiving the refresh address, second control signal and redundancy word line enable signal and controlling the refresh operation with respect to a memory core.

An LSI package having an optical interface is mounted on a surface of a photoelectric wiring board. The photoelectric wiring board and the optical interface are optically connected with sufficient precision. A wiring board side guide member including socket pins and guide pins is soldered and fixed onto the photoelectric wiring board including an optical transmission line, a guide pin, and a mirror. An optical interface side guide member having a fitting hole is glued to the optical interface. The optical interface is mounted on an interposer of the LSI package. The guide pin of the photoelectric wiring board is fitted into the fitting hole formed through the interposer. The guide pin of the guide member is fitted into the fitting hole of the guide member. As a result, position alignment between the optical interface and the photoelectric wiring board is conducted with high precision.

The invention discloses bridge equipment comprising a matrix arranged above a base and an upper frame arranged above the matrix, wherein a fourth driver is arranged at the bottom in the base, the top of the fourth driver is connected with a rotary column, an extension end at the top of the rotary column penetrates through the inner wall of the base and is fixedly connected with an end face of the bottom of the matrix, a bearing is fixedly arranged between the matrix and the base, an accommodation cavity is formed in the matrix, a first hollow groove and a second hollow groove are formed in the matrix at the top of the accommodation cavity, a chute is formed in a top wall in the first hollow groove, a fetching groove is formed in an outer wall of the matrix on the right side of the accommodation cavity, a through groove and a clamping groove are formed between the fetching groove and the accommodation cavity, a rotating shaft arranged to extend up and down is arranged in the accommodation cavity, an extension segment at the top of the rotating shaft penetrates through the inner wall of the matrix and stretches into the first hollow groove, a first toothed wheel is fixedly arranged at the tail of the rotating shaft in the first hollow groove, a reel is fixedly arranged on the rotating shaft in the accommodation cavity, conducting wires are wound on the reel, a slide block is arranged in the chute, the bottom of the slide block stretches into the first hollow groove, and a first driver is arranged in the end face at the bottom of the slide block. The bridge equipment disclosed by the invention has the advantages of simple structure, convenient operation, capability of realizing automatic take-up and high safety.

The invention provides a PC component production line. The PC component production line comprises a clearing work station, a spraying work station, a scribing work station, a reinforcing steel bar and embedded part mounting work station, a quality inspection work station, a side die mounting work station, a laying work station, a die transverse movement work station, a leveling work station, a pre-curing work station, a smoothing work station, a curing kiln, a stacking work station, a die removing work station, a lifting work station and the like, which are connected by a conveying rail. A die component moves with the conveying rail in the order of the work stations and is processed by the procedures of all the work stations. Various models and sizes of PC components can be produced and manufactured. The layout of the production line is reasonable. Various PC components can be cyclically produced on one production line, so that various sizes of fixing dies do not need to be manufactured. The waste of material resources is greatly reduced, the production cost is reduced, and the production efficiency is improved.

The invention discloses an unmanned aerial vehicle electric power circuit polling scheduling platform based on a GIS (geographic information system), which comprises a scheduling server, a human-computer interaction module, an RFID (radio frequency identification device) reader-writer, an identity card reader and a short message receiving-sending module; as an unmanned aerial vehicle electric power circuit polling scheduling method based on the GIS is matched for use, polling equipment, personnel, time and circuits are scheduled through a scheduling terminal in consideration of elements such as polling field state information, equipment information and personal information a plurality of polling tasks are finished as far as possible under a limited resource condition, the polling efficiency of the unmanned aerial vehicle is improved, the reliability and the security of the unmanned aerial vehicle polling are improved, and the unmanned aerial vehicle polling cost is lowered.

The invention discloses a drawer-type electric power control cabinet which comprises a cabinet body. A storage cavity is formed in the cabinet body, a propulsion groove is formed in the cabinet body below the storage cavity, a drawer component is arranged in the storage cavity, a pressing area is arranged on the outer wall of the cabinet body of the left side of the propulsion groove, a pressing cavity and a clamping device are arranged in the cabinet body between the pressing area and the propulsion groove, the clamping device is arranged below the pressing cavity, a pressing rod is arranged in the pressing cavity and extends to the left side and the right side, and a left extending section of the pressing rod penetrates the left side wall of the cabinet body and extends into the pressing area. The drawer-type electric power control cabinet automatically shifts in and shifts out, the drawer component is individually disassembled, different maintenance requirements can be met, the cabinet is conveniently maintained by staff, maintenance efficiency is improved, and the whole control cabinet is stable to operate.

The invention discloses a WebGIS (Web Geographic Information System)-based traffic light fault supervision system. The system mainly comprises a traffic light information collection terminal, a supervision center, a monitoring user side and a maintenance user side which realize two-way information communication by virtue of a mobile communication network and an Internet. The traffic light information collection terminal periodically collects status information of traffic lights and sends the fault information to the supervision center in a text message manner, and the supervision center analyzes and processes the fault information and provides the real-time fault information of the traffic lights in a WebGIS map manner for the monitoring user side logged by a browser, and can automatically perform maintenance task assignment, optimization and calculation after receiving the new fault information, and automatically send a maintenance task command to the maintenance user side after being confirmed by a monitoring personnel. The system can be used for realizing the real-time monitoring and timely maintenance of the traffic lights and increasing the non-fault working time of the traffic lights, thereby further ensuring the safety and smoothing of road traffic..

The invention relates to the field of electric power system monitoring, in particular to a cable 10kV high voltage ring main unit remote monitoring and control system which is used for conducting real-time monitoring of operation conditions of power distribution facilities and distribution cable lines, realizing early warning and alarming of abnormal and failure states and postmortem analysis after accidents, and controlling and regulating the operating environment of equipment through remote operation. According to the cable 10kV high voltage ring main unit remote monitoring and control system, grid smart operation management serves as the target, various on-line monitoring techniques are integrated, and monitoring cameras, a fan and solar equipment are installed in a switching station; the system can be used for checking the information of the monitoring cameras in the switching station in real time, monitoring the operating state of the fan, realizing the early warning and alarming of the abnormal and failure states and the postmortem analysis after the accidents, realizing dynamic evaluation of health conditions of the equipment, and realizing remote operation control over monitoring of the equipment; a multi-dimensional display technology is combined, safe and reliable operation capacity of a distribution network is enhanced, trouble shooting efficiency and maintenance efficiency are improved, and therefore a complete set of grid visual monitoring system is formed.

The invention discloses a battle method, device and equipment in a live broadcast system and a storage medium, and relates to the field of live video broadcast. The method comprises the following steps: receiving a battle request sent by at least one first streamer client, wherein battle types of at least two battle requests are different; determining a target battle matching rule according to a battle type corresponding to the battle request; matching a second streamer client participating in battle according to the target battle matching rule; creating battle according to the first streamerclient and the second streamer client; and writing the battle information of the battle into a storage space. Research and development personnel do not need to carry out targeted development, and individuation of the battle mode of the live broadcast process can be achieved by carrying out configuration setting on the modules.