99 results about "Intelligent maintenance system" patented technology

The invention discloses an intelligent maintenance system and method based on a wearable augmented reality display terminal and a cloud platform. According to the intelligent maintenance system and method, an augmented reality technology-based infrared image intelligent identification, video collection and uploading of personnel operation scenarios and real-time conversation with a monitoring center on the scene are achieved, thereby guiding maintenance personnel to implement standard and normalized work process; an intelligent maintenance platform based on big data and artificial intelligenceis built to carry out inspection optimization, defect identification and fault diagnosis; and auxiliary information is transmitted to an intelligent terminal of site operation personnel to display inreal time through an augmented reality technology, so that the operation efficiency is improved, misoperation is avoided and the intelligent maintenance system and method can be applied to multiple power grid operation and maintenance scenarios.

The invention relates to a remote intelligent maintenance system for a direct current power supply of a transformer substation. The remote intelligent maintenance system comprises the direct current power supply, wherein the input end of the direct current power supply is connected with an alternating current power distribution end; the output end of the direct current power supply is connected with a direct current power distribution end; the direct current power supply comprises charging and discharging modules 1-n; the charging and discharging modules 1-n are respectively connected with storage battery packs 1-n; the storage battery packs 1-n are connected with battery monitoring modules 1-n; the battery monitoring modules comprise voltage monitoring modules, circuit monitoring modules and internal resistance test modules; the battery monitoring modules are then connected with a monitoring module, and the monitoring module is connected with a control terminal. The control terminal performs remote communication with concentrated monitoring modules of all branch station direct current systems; after receiving a monitoring command sent by the control terminal, the monitoring modules of all the branch station direct current systems can complete data acquisition and control operation on direct current systems and send back results to the remote control terminal, so that unattended and real-time concentrated monitoring and remote maintenance of direct current equipment are realized.

The present invention discloses a crane remote monitoring and intelligent maintenance system based on an IOT and a DSP. The system is formed by the connection of a sensor group, an industrial wireless network, a test and control servers, a remote data service center, and an information receiving terminal device in order. The design and project amount can be greatly reduced, the installation cost is reduced, the DSP has the characteristics of fast computing speed, multiple data channels and high floating point operating precision, and the characteristics are very suitable for an industrial control system to carry out accurate detection and positioning.

The present invention provides a remote control-based robot-assisted intelligent maintenance system. The system comprises a master end control platform module, a master end input signal acquisition and processing module, a signal transmission and communication module, and a slave end control execution module. The master end control platform module provides a platform and an operation environment in accordance with man-machine engineering for an operation by a remote control system master end remote operator. The master end input signal acquisition and processing module collects and processes motion data of an action instruction of the remote operator. The signal transmission and communication module transmits input data of a master operator collected by a master end and a processing result to a remote slave end. The slave end control execution module receives the data of the master end, then analyzes the data and drives a slave end robot execution mechanism to execute a corresponding action. According to the remote control-based robot-assisted intelligent maintenance system, a robot can be controlled remotely online in real time, the system is applicable to multiple operation environments that are inconvenient for people to perform tasks directly, and auxiliary maintenance tasks of the remote control intelligent maintenance system can be completed.

The invention discloses a locomotive vehicle intelligent maintenance system based on video identification. The system comprises an upper monitoring terminal and a movable video collecting device used for collecting video information of each maintenance object of a maintained locomotive vehicle; the movable video collecting device comprises a shell, a video capture device and an electric circuit board, and the electric circuit board is provided with a data processor, a video collecting unit and a clock circuit. According to the system, the structure is simple, the operation is easy and convenient, the using effect is good, and the maintenance process of the locomotive vehicle can be completed simply, conveniently and rapidly. Meanwhile, the invention further discloses a locomotive vehicle intelligent maintenance method. The method comprises the steps that 1, a maintenance task library is established; 2, the video information of the maintained object is collected, the maintenance records are synchronously uploaded, and the specific process comprises the steps of collecting and synchronously uploading vehicle number video information, identifying the vehicle number video information and collecting and identifying video information of a maintenance area; 3, objects which are left out in maintenance are judged. The method is simple, reasonable in design and convenient to achieve, the maintenance speed is fast, and the maintenance effect is good.

The invention discloses a remote intelligent maintenance system for an online environment monitoring instrument. The system comprises the online environment monitoring instrument, a data acquisition and management center, a data management center and a data application center, wherein the data acquisition and management center collects monitoring results of the online environment monitoring instrument, stores the collected monitoring results and uploads the monitoring results to the data management center; and the data management center receives the monitoring results, carries out data analysis on the monitoring results and uploads the data results to the data application center. According to the invention, aiming at solving the problems that errors of equipment and system cannot be monitored in real time by human monitoring to cause the uploading of wrong data so as to make a misjudgment on environmental change, the method for remotely monitoring and maintaining the online environment monitoring instrument is provided.

The invention discloses an intelligent maintenance method for a tobacco cutter based on an automatic optical inspection technology. The method comprises the following steps that an original image of atarget component of the tobacco cutter is acquired and preprocessed; the preprocessed image is identified and segmented to obtain target image region data; the target image region data is processed,characteristic quantities of key characteristics of the target image region data are extracted to be built into a sample characteristic set and a target set; a fault detection model detecting each component of the tobacco cutter is established through the sample characteristic set and the target set, and fault detection is performed to obtain a fault detection result; the fault detection result iscombined with an original evaluation result of the tobacco cutter to perform multi-level health assessment on the tobacco cutter so as to obtain the health assessment results of multiple levels; andthe fault detection result is integrated with the health assessment results to obtain an intelligent maintenance scheme for the tobacco cutter; and an intelligent maintenance strategy can be providedtimely, clearly and efficiently.

The invention discloses a ground screen comprehensive monitoring and intelligent maintenance system. The system is composed of a front-end detector (1), a ground screen comprehensive monitor (2), a rainwater collector (3), an ion supplying device (4), a superior industrial digging machine (5), an electric control water pump (6), an electric control valve (9), a PH (potential of hydrogen) modifier (7) and a ration pool (8), wherein a ground screen and an instrument, the ground screen and monitoring as well as a GPRS (general packet radio service) module are mutually combined, thus whole-screen intellectualized remote monitoring and seamless data transmission are realized, the operating condition of the ground screen is remotely monitored in real time (on a national scale), and the monitoring condition is reported in real time through a prewarning and warning device; and according to the reported monitoring information, an attendant can set parameters for an intellectualized system according to corresponding conditions, comprising setting resistance prewarning, an alarm value and automatic-start regulating equipment.

The invention provides a machine-vision-based intelligent maintenance system of potted plants, which comprises a plant growth information monitoring device, an image acquisition device, a server and an intelligent robot. The plant growth information monitoring device is used for acquiring growth information of potted plants; the image acquisition device is used for acquiring ambient image information of the potted plants; the server is intended for processing the received information to obtain plant treatment plans; the intelligent robot is intended for receiving and executing control commandssent by the server. The ambient image information of the vicinity of the potted plants is acquired through the image acquisition device; the growth condition of the potted plants is analyzed by the server according to the growth information and the ambient image information so as to determine target plants to be maintained and plant treatment plans; control commands are sent to the intelligent robot according to visual positioning and the treatment plans; the intelligent robot moves to the target plants for maintenance. The whole process of automatic monitoring and automatic maintenance is achieved; manual workload is reduced.

The invention discloses an intelligent maintenance apparatus of flexible material processing equipment, comprising a numerical control cutting device, a numerical control cutting device monitoring server, a database, and an intelligent maintenance system (IMS) website; the numerical control cutting device acquires equipment processing real-time data and field state data by a cutting device mainboard through a field embedded device, and transmits the acquired processing equipment data to the numerical control cutting device monitoring server; the numerical control cutting device monitoring server is used for processing and analyzing the acquired data to provide processing equipment operation monitoring and core parameter statistics; the database is used for storing processing equipment operation monitoring parameters, and transmitting the processing parameters to the IMS website through the numerical control cutting device monitoring server; the IMS website judges, in real time, workingcondition of the numerical control cutting device and working efficiency and quality of working staff of the numerical control cutting device according to the received processing equipment operationdata.

The invention relates to the technical field of refrigeration device control, in particular to a refrigeration device intelligent maintenance system based on radio frequency technology. The refrigeration device intelligent maintenance system based on the radio frequency technology comprises a master control module, a radio frequency module, a state monitoring module and a state control module, wherein the radio frequency module, the state monitoring module and the state control module are connected with the master control module in action mode. In a production process, the radio frequency module has an identity recognition function, and a manual radio frequency reader-writer reads assembly information in the radio frequency module. If the information is unmatched, and the radio frequency module returns to a station starting stage to perform inspection and verification until assembly is correct. When a refrigeration device product is operated, the state monitoring module acquires operation information of a refrigeration device and sends the operation information to the master control module, faults of the device can be found in real time or in advance through analysis processing of the master control module, the faults can be found in time, and loss is avoided. In a whole life cycle, the radio frequency reader-writer reads the radio frequency module in the system, the information is uploaded to a feed-back system of a manufacturer, and follow-up service of sold products is performed well.

The invention discloses an automatic recognition method of a bituminous pavement crack type. Firstly, crack information is artificially measured, crack data are obtained through 3D detection, after chap blocks and crack directions are divided into respective mesh sizes, characteristic indexes of unit meshes are calculated, secondly, the direction of each crack is determined according to the sum ofthe crack lengths in each row and each line in the meshes, and finally distribution of chaps, transverse joints and longitudinal joints in each unit road segment are calculated. A set of systematizedtheories are provided for determination of the chap degree and judgment and determination of the crack directions through a specific quantization method, and a basic procedure is provided for automatic recognition of the crack type; and meanwhile, the procedure lays a foundation for further discussion of crack failure characteristic information and the development law and has great significance in scientific maintenance of a joint filling and sealing road segment, and development of an intelligent maintenance system through the three-dimensional laser detection technology is further facilitated.

The invention relates to an autonomous failure diagnosing and intelligent maintenance system and method for a carrier capable of being used repeatedly based on a plurality of signal flows, and belongsto the technical field of spacecraft failure diagnosis and maintenance security. According to a failure diagnosis result, a maintenance method with the period and the expenditure being optimized is intelligently reckoned, intelligent maintenance is achieved, accordingly the problems that ''a manual loop'' for diagnosing failures of the carrier capable of being used repeatedly is large in participation quantity, has a certain hysteretic nature, long in maintenance period and high in cost are solved, rapid online failure diagnosis and intelligent maintenance of the carrier capable of being usedrepeatedly are achieved, and the autonomous failure diagnosing and intelligent maintenance system and method are beneficial for providing technical support for achieving rapid and repeated usage of the carrier.