45results about How to "Realize intelligent maintenance" patented technology

The present invention discloses an artificial intelligence maintenance system and method, which comprises: the ground floor data interface; the information filtering and analysis part; the fault analysis positioning part connected with the fault system database, according to the data sent from the fault analysis positioning part, finding the failure cause from the fault system database and sending the related fault information to the standard work-order generation part; the standard work-order generation part connected with the standard system database, according to the fault information, finding the standard operation of fault processing from the standard system database to determine whether automatically to trigger the standardization of work-order. The invention accurately positions the failure cause by means of the fault analysis positioning part based on the fault system, and rapidly gives the suggestion for fault processing. Moreover, according to the standard work part, the invention can timely complete all the operations, manual work, materials and tools that the fault maintenance work needs and implement the suggestion for operation permission of the fault maintenance work, and can release the maintenance work-order in time so as to realize the artificial intelligence maintenance.

The invention is a state monitoring-based nuclear power plant intelligent maintaining system, belonging to the field of equipment monitoring and maintaining technology. The invention comprises: memory unit, monitoring port and computer network, and calculating unit, where the memory unit is stored with original operating data of all systems, the operating data is sent through the computer network to the calculating unit, the calculating unit analyzes the operating state of the nuclear power plant from the operating data and forecasts the possible failures according to the operating state and sends out the forecasting result in two ways, one of which is sent through the computer network to the monitoring port and the other of which is sent through the computer network to the memory unit, the monitoring port real-timely displays the property forecasting results, operating data, failure conditions and maintenance information of all the systems, and the memory unit takes charge of storing the forecasting results of the calculating uint. The invention realizes the intelligent maintenance of the nuclear power plant by the state forecast.

The invention discloses an intelligent protector for a newly-transplanted plant. The intelligent protector comprises a supporting unit, a drop irrigation unit, a daylighting unit, an insect prevention unit, a soil loosening unit, a single-chip microcomputer, an upper computer, a server and a displayer. The drop irrigation unit, the daylighting unit, the insect prevention unit and the soil loosening unit are all controlled by the single-chip microcomputer, the upper computer and the server, and real-time environment temperature, soil humidity and illumination intensity data is displayed on the displayer. According to the technical scheme, the defects in the prior art are overcome, intelligent maintenance can be achieved according to the condition of the plant, watering, soil loosening, wind prevention, sunshading and insect killing can be automatically conducted on the newly-transplanted plant conveniently and rapidly, the newly-transplanted plant is protected, and death of the newly-transplanted plant is effectively avoided.

The invention relates to the technical field of the radar monitoring, in particular to a remote monitoring system for radar running status. The system is formed by communicating a sensing layer, a data aggregation layer and an application layer through a network layer. By applying a sensor and cooperating an acquisition and processing circuit, the sensing layer converts the radar state variables of each base station and the radar surrounding variables into a digital virtual volume. The network layer mainly achieves the network topology of system, the mode of data transmission and the network security measure. The data aggregation layer is used for synchronizing the distributed memory data of each base station and aggregating the data to the center data server of the system. According to the needs of different users, the application layer provides the function of data access, data processing and visualization to the center and each radar station. According to the remote monitoring system for radar running status, the radar local intelligent maintenance and the remote long-distance expert online consultation is achieved, and therefore the preventative maintenance is reached and the life-cycle management and monitoring of the radar is achieved.

The invention discloses an intelligent detection and emergency repair robot for an indoor substation. The intelligent detection and emergency repair robot for the indoor substation comprises an obstacle-crossing moving part, a lifting device, a rotating and overhauling device, dust removal equipment and sound collection equipment. When the intelligent detection and emergency repair robot for the indoor substation is used, wheels of the obstacle-crossing moving part drive the equipment to move integrally, after encountering obstacles, the robot passes through obstacles through obstacle-crossinglegs, and after reaching a position, the rotating and overhauling device is adjusted to move to a proper height through the lifting device. A box substation is opened by a movable arm A on the left side of the rotating and overhauling device, the dust removal equipment blows off dust by rotating of a rotating disc, the sound collection equipment determines whether abnormal sound exists or not byrotating of the rotating disc, the voltage in the substation is detected by controlling a binding post through the movable arm A on the right side, and finally the movable arm A on the left side overhauls the substation through rotating of the rotating disc, the normal operation of the substation is ensured, the influence caused by overhaul is minimized, serious faults in the substation are avoided, the costs for power supply enterprises are saved, and intelligent overhauling of the substation is achieved.

The invention discloses an elevator maintaining method based on radio frequency card and elevator operating state. The elevator maintaining method includes the steps of (1) preliminary preparatory work, wherein the preparatory work includes wiring of an elevator remote supervision terminal and manufacturing of maintenance regulations; (2) maintenance regulation issuing, wherein after the elevator remote supervision terminal is started, an upper supervision mainframe sends the maintenance regulations to the elevator remote supervision terminal; (3) maintenance supervision, wherein after the elevator remote supervision terminal receives the maintenance regulations, multiple maintenance processes recorded on the maintenance regulations are supervised according to the sequence of maintenance time, and the supervision process includes the following steps of (301) maintenance reminding, (302) maintenance personnel identity recognition, (303) maintenance supervision information generating and uploading, (304) maintenance supervision information synchronous receiving and storing. The method is simple in step, reasonable in design, convenient to implement, good in using effect and capable of effectively supervising maintenance conditions of an elevator.

The invention discloses a fault recognition system and method for an escalator or a moving walkway. The fault recognition system comprises a pair of intelligent guide rails symmetrically disposed on two sides of the escalator correspondingly, an intelligent step corresponding to the intelligent guide rails, a step roller or a step chain roller disposed above the intelligent guide rails and step fault monitoring devices correspondingly disposed on the intelligent guide rails on both side, wherein the step fault monitoring devices each comprise a side surface sensor for measuring guide rail vibration or step roller pressure and a first signal processing module for analyzing or uploading a measured signal. The fault recognition system and method can recognize and position faults such as steproller wear and cracking, rail joint opening and loosening and guide rail foreign matter, and facilitate the maintenance of the escalator or the moving walkway.

This invention provides one kind of long-distance supervisory and control and maintenance system of pneumatic caisson nobody construction equipment. Transducer signal is collected by transducer signal collecting and processing module for optoelectronic switching and analog-to-digital conversion, the signal after conversion is used as watch dog intelligence body to pre-diagnosis information entry of signal processing module, the result of prediction and evaluation is transferred to display module one way, the other way is transferred to network information processing module, capability state information of equipment is read by display module to real time display state information of all equipments. Network information module read equipment capability state information from watch dog module according to specific information, and the state information is sent to server through network. The information is saved by server for user long-distance supervisory and control and maintains the equipment through network. Equipment capability is evaluated and predicted to prevent the loss to caisson from fault, and long-distance supervisory and control and intellectual maintenance is realized through network.

The invention discloses a predictive maintenance system and method for a vacuum pump and an automatic vacuum pump purchasing system. According to the predictive maintenance system, by collecting real-time operation data of the vacuum pump, a real-time operation state of the vacuum pump is obtained based on the real-time operation data of the vacuum pump; whether real-time operation data of the vacuum pump in a current real-time operation state are abnormal or not is judged based on the real-time operation data and the corresponding real-time operation state of the vacuum pump; based on the real-time operation data of the vacuum pump within the specified time interval, the change rate of vacuum pump operation data is calculated to judge whether the change rate of the vacuum pump operation data is abnormal or not; and based on the real-time operation data and historical operation data of the vacuum pump, predicted operation data of the vacuum pump after the preset time interval are calculated, and the health degree of the vacuum pump is calculated based on the predicted operation data of the vacuum pump. The predictive maintenance system can monitor the state of the vacuum pump in real time; and the abnormality of the vacuum pump is found in advance through state alarming, change rate alarming and health degree prediction, and the raw material loss caused by unplanned shutdown and sudden failure is reduced.

The invention provides a semiconductor packaging process early warning method and device based on a time sequence generative adversarial network, and relates to the technical field of data processing,and the method comprises the steps: obtaining monitoring data, carrying out the preprocessing of the monitoring data, and obtaining training data; obtaining a normal sample set from the training data, calculating a density function of the normal sample set, and estimating an abnormal threshold according to the density function; obtaining a trained generator network, and generating a predeterminednumber of abnormal samples by using the trained generator network; and mixing a predetermined number of abnormal samples and the training data and then inputting the mixed abnormal samples and the training data into a neural network for training, so that in the semiconductor packaging process, the key process parameters are input into the trained neural network to obtain an abnormal prediction value, and early warning processing is carried out according to the abnormal prediction value and an abnormal threshold value. Therefore, the abnormal samples are generated and mixed to the training data for training, the abnormal threshold value is determined to realize early warning of production abnormality in advance, and the product yield and the production line efficiency are improved.

The invention provides a PHM-based middle and low voltage power distribution network operation and maintenance system and method. The system comprises a data information acquisition and processing module, a state monitoring and fault early warning module, a fault detection and isolation module and a power distribution network health state evaluation module. The zero-sequence voltage abrupt change energy E(k) of the neutral point of the power distribution network is used as a starting criterion of fault early warning of the power distribution network; when a certain feeder reaches an early warning level, a fault detection and isolation module is started, positive sequence current fault components measured by each terminal node on the fault feeder are used for fault direction discrimination and fault positioning, and the amplitude of each phase of voltage is used for fault type identification; and after a master station completes fault positioning and recognition, a small resistor is actively put into the neutral point of the power distribution network for fault isolation. The operation state of the power distribution system can be monitored in real time, the health state of the power distribution system is managed, and the operation efficiency and the operation and maintenance work level of the power distribution system are improved.

The invention belongs to a blade unbalance fault monitoring method, and aims to solve the technical problems that a vibration sensor needs to be installed for collection of vibration signals during blade unbalance fault monitoring at present, and time and labor are consumed due to the fact that an existing blade balance monitoring method needs to carry out manual monitoring and manual adjustment on the basis of a large amount of manual labor. According to the wind turbine generator blade unbalance fault monitoring method based on the vehicle-mounted device, the vehicle-mounted device serves as a platform, vehicle-mounted automatic inspection and fan maintenance are achieved, the deep learning technology serves as basic technical support, and video data collected by the vehicle-mounted device are correspondingly monitored and processed. A wind turbine generator blade unbalance fault monitoring method is researched, adjustment parameters of a fan are analyzed and given, the parameters can be issued to a fan console, the balance angle of the blade is corrected, and intelligent operation and maintenance of a fan field are achieved. The vehicle-mounted device is used for carrying out itinerant monitoring on numerous fans, and the defect that a traditional manual monitoring method is time-consuming and labor-consuming is avoided.

The invention provides a movable plant air purifier, and belongs to the technical field of plant air purifiers. The movable plant air purifier includes an irrigation and water supply system, a plant maintenance area and a physical purification system. According to the movable plant air purifier, by superposing a middle plant superposable assembly, the height can be freely changed; a plant placing part in a product is made into a drawer, when plants exist, the drawer is pulled out to place the plants, and when the plants do not exist, the drawer is closed and can still serve as decoration; meanwhile, the plants are placed on the two faces of the movable plant air purifier, the requirements of various occasions on the product are met, and intelligent maintenance is achieved through the structure and a control program.

The invention relates to an intelligent maintenance system and method for an urban railway transit axle counter subsystem. The intelligent maintenance system for an urban railway transit axle countersubsystem includes an axle counter maintenance machine, a data interface server, an analysis processing server, an application server and a memory disk array, a maintenance terminal and a backbone ring network, wherein the axle counter maintenance machine, the data interface server, the analysis processing server, the application server and the memory disk array, and the maintenance terminal are mutually connected through the backbone ring network. Compared with the prior art, the intelligent maintenance system and method for an urban railway transit axle counter subsystem has the advantages of high automation degree, high security, high intelligence, libration of maintenance manpower, implementation of increasing efficiency and downsizing staff and the like.

The invention provides a steel rail data precision optimization method and a steel rail data precision optimization system. According to the invention, data extraction is carried out on data of different work sections according to starting and ending point distances to form a 1-meter precision table with basic attributes and mileage of line names, line types, work sections and the like. All machine account tables related to steel rails are associated, so that the data of each work section is integrated and shared. The accurate positioning of information of each point on the steel rails is realized. The problem that existing data is scattered and cannot be interconnected and shared is solved. The data sharing and real-time updating can be achieved. The real-time monitoring is carried out onkey indexes of equipment in a work section. An analysis model can be established based on a one-meter precision table. The trend prediction is carried out on line infrastructure state changes, theoretical guidance is provided for decision analysis by studying and judging equipment operation and maintenance states, and equipment maintenance intelligence is achieved.

The invention discloses a motor vehicle time division leasing system and a control system thereof. The motor vehicle time division leasing system comprises a vehicle-mounted time division leasing controller, a double-end video monitor, a client end, a service server, a control server and a big data server cluster.

The invention discloses a power transmission and transformation ultrasonic partial discharge sensor and a method thereof. The power transmission and transformation ultrasonic partial discharge sensor comprises a processor, an ultrasonic receiving probe, a TEV transient ground voltage detection circuit and a digital temperature and humidity IC, the output end of the ultrasonic receiving probe is electrically connected with an ultrasonic detection circuit, a front operational amplifier and a logarithmic amplifier are arranged in the ultrasonic detection circuit, and the ultrasonic receiving probe is electrically connected with a processor and a TEV transient ground voltage detection circuit through the ultrasonic detection circuit. The TEV transient ground voltage detection circuit logarithmic amplifier and the input operational amplifier of the front arithmetic unit are connected to a power equipment internet of things management and application platform through a power APN security encryption channel by adopting a miniaturized integrated packaging cast aluminum shell and a magnetic type installation mode, and the partial discharge sensor senses data and visually displays the data. Partial discharge monitoring and early warning of electrical equipment such as a switch cabinet, a gas insulation totally-enclosed combined electric appliance, a transformer, a cable and the like are realized.

The invention relates to a block chain recording platform applying wireless transmission. The platform comprises a wireless transmission part which is disposed in a scenic area, and is used for transmitting the received identity information corresponding to each existing human body target to a block chain recording network element in a wireless manner, the block chain recording network element which is used for registering the wirelessly received identity information corresponding to each existing human body target into a scenic spot uncivilized database managed by the block chain recording network element and a network imaging mechanism. The wireless transmission part is also used for wirelessly transmitting the received human body far-away signal or human body close signal to the block chain recording network element; and the network imaging mechanism is used for performing high-angle shooting on the periphery of the ancient tree. The block chain recording platform applying wireless transmission is intelligent in operation and compact in design. The over-close human body detection strategies in different ranges can be selected according to the years of the ancient trees needing to be specially maintained, so that the intelligent maintenance of the growth environments in different ranges of the ancient trees in different years is realized.

The invention discloses a remote control method for a water dispenser, which relates to the technical field of intelligent terminals and comprises the following steps: monitoring whether a remote control instruction exists or not; if the remote control instruction is received, collecting environment information of the water dispenser, and detecting whether the environment information meets maintenance conditions or not; and if yes, executing a remote control program corresponding to the remote control instruction. The invention further discloses a remote control device of the water dispenser, the water dispenser and a readable storage medium. When the remote control instruction is received, whether the current water dispenser is suitable for maintenance or not is judged by collecting the environment information around the water dispenser, if the current water dispenser is judged to meet the maintenance condition, the control program corresponding to the remote control instruction is executed, the water dispenser is maintained, the intelligence of the water dispenser is improved, and therefore, intelligent maintenance of the water dispenser is realized.