8432results about How to "Improve maintenance efficiency" patented technology

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.

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 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 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 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 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 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.