44results about How to "Improve maintenance level" patented technology

The invention discloses a general fault detecting and maintenance method for equipment. The general fault detecting and maintenance method for the equipment comprises the following steps of carrying out modeling on maintenance knowledge of the equipment faults, automatically detecting and diagnosing the faults and carrying out auxiliary maintenance based on a model, simulating maintenance training based on the model, optimizing an experience knowledge model in real time in the maintenance training process, and synchronizing maintenance information and experience knowledge model information in the maintenance training process. Compared with an existing equipment maintenance method, the general fault detecting and maintenance method for the equipment enables the accumulation and the sharing of equipment maintenance experience knowledge and the automatic diagnosis of equipment faults to be achieved, and assistance can be provided for related maintenance strategies through the analysis and the exploitation of the maintenance record information. In addition, effective transmission of the experience of experts to primary maintainers is achieved through the step of simulation training. The general fault detecting and maintenance method for the equipment is especially suitable for chemical defense troops and other occasions where a large amount of complex equipment needs to be maintained frequently and where the turnover rate of maintenance personnel is high. Practice proves that the general fault detecting and maintenance method for the equipment can obvious improve equipment maintenance efficiency, promote maintenance levels and improve maintenance quality.

The invention belongs to the technical field of electrical equipment monitoring and relates to a monitoring method and a monitoring system for an overheat fault of a transformer. The technical problems that traditional monitoring methods and monitoring systems in the prior art are not reasonable enough and the like are solved by the invention. The monitoring system comprises the following steps: A, thermal image acquisition; B, image recognition processing; and C, fault diagnosis and processing. The monitoring method and the monitoring system for the overheat fault of the transformer have the advantages that acquired image information is recognized by adopting a non-contact monitoring mode to realize fast recognition and diagnose of the part, the degree the type of the early potential fault of the transformer. The monitoring method and the monitoring system for the overheat fault of the transformer have the characteristics that the safety, the reliability and the efficiency are high. Meanwhile, by utilizing the non-contact monitoring mode, a condition is provided for realizing all-weather state monitoring on the transformer on the premise that the operation of the transformer is not influenced, and therefore, the safe, stable and reliable operation of equipment is ensured, the maintenance level of the transformer is comprehensively promoted, and the maintenance cost is reduced. The system is reasonable in design, simple in structure, good in working stability and high in fault detection rate.

The invention discloses an engineering machine intelligent fault diagnosis system and method and an engineering machine. The engineering machine intelligent fault diagnosis system comprises a vehicle-mounted main controller and a fault diagnosis device, wherein the vehicle-mounted main controller is used for collecting and outputting work state parameters of the engineering machine, and the fault diagnosis device is used for receiving the work state parameters and carrying out fault diagnosis on the engineering machine according to the work state parameters. By means of the technical scheme, the vehicle-mounted main controller inside a cab in the engineering machine can be directly used for collecting the work state parameters for the fault diagnosis, a single-chip microcomputer or other control devices are not required to be additionally arranged for collection, the cost is low, the development period is short, the fault diagnosis can be effectively carried out on the engineering machine, the maintenance level is improved, and the machine-stop losses are reduced.

The invention discloses a method for detecting a crack defect of an in-service strut porcelain insulator, belonging to the technical field of online monitoring and condition-based maintenance of electrical equipment. The method comprises the following steps of: determining the quantity of to-be-measured points and selecting a measuring device according to the size of a tested element; measuring a potential value aiming at a frequently-broken part of the strut porcelain insulator; according to the potential value, calculating an axial component of an electric field intensity, drawing a curve diagram; according to the electric field curve diagram, locating a defect, analyzing the deterioration degree and obtaining a conclusion. According to the method, maintenance is carried out purposefully, the maintenance level can be improved so that equipment runs more safely and reliably; and the inventory level of replacement parts, and the cost required by replacing parts and maintaining the parts is reduced. The method is used as a new supplement of the online detection method for the strut porcelain insulator, thus the method of condition-based maintenance is perfected. The method has the advantages of high resolution, high sensitivity and the like for detecting cracks on the surface of the strut porcelain insulator, and can be widely applied to the detection of the strut porcelain insulator in high-voltage alternating-current and direct-current transmission and transformation projects.

The invention discloses an automobile maintenance early warning system, which comprises a vehicle owner intelligent mobile terminal, a repair shop technician intelligent terminal and a server. The vehicle owner intelligent mobile terminal includes a vehicle owner maintenance and repair business demand module and a vehicle owner business payment and evaluation module. The repair shop technician intelligent terminal includes a repair shop technician business diagnosis and quotation module, a repair shop technician maintenance record module, a repair shop technician part management module and a service after-sales management module. The server includes a maintenance business big data analysis and arraignment module. According to the invention, through the intelligent terminal, a vehicle ownercan directly and permanently have maintenance "medical records"; and the system of the invention can issue a maintenance early warning in an all-round way, thereby being capable of taking preventivemeasures and greatly reducing the incidence rate of failures and accidents.

The invention discloses a method for building a ship electric power plant fault diagnosis petri net model based on a rough set. The method comprises the steps as follows: 1, acquiring a set of fault performance information possibly existing in each part of a ship electric power plant power system; 2, obtaining a non-redundant fault performance information set of the fault performance information set with an attribute reduction algorithm according to the rough set theory; 3, establishing a corresponding relation between each subset in the non-redundant fault performance information set and each actual fault of the ship electric power plant power system, and forming a system fault Petri net model by the corresponding relations; and 4, performing lamination, classification and coloring treatment on the fault Petri net model of the ship electric power plant power system according to the composition structure of the ship electric power plant power system. According to the invention, the fault diagnosis model can be prevented from generating larger redundancy under the condition of a large quantity of fault information, and accuracy and efficiency of the ship electric power plant fault diagnosis petri net model building are improved.

The invention discloses a transformer thermal fault monitoring device and method based on a transformer substation inspection robot. An infrared thermal imaging camera is connected with an industrialpersonal computer in a wireless communication mode, the industrial personal computer is connected with an alarm mechanism and a monitoring terminal, and the industrial personal computer is also connected with a server for storing a transformer thermal image. The alarm mechanism comprises any one or more of a sound-light alarm device or a mobile short message receiving terminal; the industrial personal computer is further connected with a load detection device used for detecting the load of the transformer, a temperature detection device used for detecting the environment temperature and a humidity detection device used for detecting the environment humidity. The infrared imaging device is integrated on a transformer substation inspection robot platform, collected transformer substation infrared image information is identified in a non-contact monitoring mode, rapid identification and diagnosis of the parts, the degrees and the types of potential faults in the early stage of a transformer are achieved, and the beneficial effects of being safe, reliable and efficient are achieved.

The invention discloses a low-voltage distribution network protection method based on wide-area measurement information and a medium, and relates to the field of power systems and automation thereof.The invention aims at the defects of fault identification and positioning of the existing power distribution network, and the technical problem of insufficient reliability of the existing power distribution network on-line monitoring and protection method is solved by utilizing a current differential principle. The method comprises the steps of: constructing a topological structure incidence relation matrix R, a measurement unit remote control function on-off matrix B, a transformer transmission coefficient correction matrix D, a measurement voltage matrix U and a measurement current matrix I;forming a fault position research criterion; positioning a fault position on an element; determining a fault phase, and constructing an associated circuit breaker tripping strategy after the fault onthe basis of the remote control function on-off matrix B . The fault location in the power distribution network can be accurately judged, and the operation maintenance level of the power distributionnetwork is improved.

The invention provides a test platform for a wide-area joint debugging of interstation stable control device. The test platform is matched with a master station stable control device and a plurality of sub-station stable control devices interconnected with the master station stable control device in a wide-area way. The test platform comprises a test management host, a master station and a plurality of sub-station protocol transfer devices, wherein the test management host communicates with the master station stable control device by a master station protocol transfer device and is further interconnected with each sub-station protocol transfer device in a wide-area way by the master station protocol transfer device according to another data communication network, each sub-station protocoltransfer device is directly connected with the corresponding sub-station stable control device, and the test management host is used for simultaneously issuing a test parameter to the master station and each sub-station protocol transfer device and receiving action results of the master station and each sub-station stable control device fed back by the master station and each sub-station protocoltransfer device to judge whether performance between the master station stable control device and each sub-station stable control device is qualified or not. According to the test platform provided bythe invention, the problem of automatic test for wide-area joint debugging of the interstation stable control device can be solved in site, so that the site working efficiency and the maintenance level are improved.

The invention discloses a standardized intelligent maintenance management control system for parts, and belongs to the technical field of maintenance control of parts. The system comprises at least one maintenance workbench and a management control system. The maintenance workbench comprises a customization tool with an RFID function, an RFID system, man-machine interaction equipment, digital equipment with an infinite transmission system, maintenance intelligent error-proof and leakage-proof assembly auxiliary equipment and a customization tool. The management control system comprises a process control unit, a visual operation instruction, a data acquisition unit, a data judgment unit, a personnel management unit and a data analysis and statistics unit. Monitoring and control of the partmaintenance process can be achieved, it is guaranteed that maintenance of the parts is executed according to the standardized process, meanwhile, work of operators can be monitored, all data in the maintenance process can be recorded, and standardized value maintenance and life cycle management of the parts are achieved.

The invention relates to a detection method for loose defects of an arc contact of an extra-high voltage circuit breaker. The detection method comprises the following steps: (1) carrying out micro-distance movement on a circuit breaker contact by virtue of a slow division and combination manner during measurement; (S2) carrying out resistance measurement on multiple points in the route of the arccontact under a static state; (S3) carrying out state quantity significant difference analysis and calculation on a measurement result obtained in the step (S2); and (S4) judging whether the arc contact has the loose defects according to a calculation result in the step (S3). Compared with the prior art, the detection method has the advantages of relatively high accuracy, wide popularization valueand the like.

The invention provides a method for evaluation and early warning for train axle properties based on mathematical models and belongs to the field of methods for evaluation and early warning of high speed train axle properties. The method comprises the steps of establishing an axle temperature variation mathematical model for axle operation in each of the latest 30 days, and obtaining a group of parameters for evaluating the axle properties with respect to each model; performing smoothing processing on each group of parameters, and performing abrupt change detection and trend detection for the axle properties based on the smoothed property parameters. The qualitative method can assist train maintainers in accurately and reliably judging whether axle temperature alarm signals belong to short-period false alarms capable of self-recovery, and further provide important reference bases for maintenance decisions thereof.

The invention provides a method and a system for improving online fault detection accuracy rate of overhead line structures. In combination with infrared temperature measurement and ultrasonic testing technology, potential faults of the overhead line structures are discovered in time, health information of each overhead line and each transformer substation is collected through online detection, an information standing book is established scientifically to qualitatively and quantificationally help managerial personnel to grasp health condition of equipment operation in time, simultaneously, a maintenance schedule is established scientifically by operation and maintenance personnel through complete and accurate information, and potential safety hazards are eliminated as soon as possible.

The invention discloses a thermal imaging online monitoring method and system for electrical equipment, and the method comprises the steps: collecting thermal imaging pictures of different positions of the electrical equipment through employing a plurality of thermal imaging cameras, and setting at least one monitoring region and a corresponding overtemperature threshold value for each position; amonitoring host acquires temperature data of each monitoring region in the thermal imaging picture and uploads the temperature data to an acquisition server; the acquisition server analyzes the temperature data, compares the temperature data with the corresponding overtemperature threshold, and reports a comparison result and the temperature data to a system server; and the system server stores the temperature data and judges whether to give an alarm according to the comparison result. All-weather, multi-region and intelligent online temperature monitoring can be realized, safe, stable and reliable operation of equipment is ensured, the maintenance level of the electrical equipment is comprehensively improved, and the operation and maintenance cost is reduced.

The invention discloses a scenic area shared storage battery sightseeing vehicle monitoring system which comprises a vehicle control system, a cloud platform monitoring system and an operation terminal. The vehicle control system is used for operating and controlling a vehicle. The cloud platform monitoring system is used for monitoring and managing the use state of a vehicle, the supervision of tenants and the scheduling configuration of the vehicle in a scenic spot. The operation terminal is used for realizing reservation, vehicle operation starting, process supervision and expense settlement, the vehicle control system is carried on a vehicle body, the vehicle control system is connected with the cloud platform supervision system through the Internet of Things technology, and the operation terminal is connected with the cloud platform supervision system through mobile data.