1016 results about "Repair time" patented technology

A computer-assisted inspection system provides computer architectures and software controlled algorithms to automatically provide vehicle inspections and repair recommendations including estimated repair time and cost of depression type damage such as dents. Features provided by a handheld wireless touchscreen based inspection device include flat car part picking, auto grading including seller grading, and automatic calculation of body and bumper dent repair parameters and directions.

The invention relates to a method for the remote monitoring and cloud diagnosis of automobile faults. The method for the remote monitoring and cloud diagnosis of the automobile faults comprises the following steps of reading automobile fault and driving data information; uploading the automobile fault and driving data information to a cloud test server through a network; analyzing and processing the automobile fault and driving data information by the cloud test server, and then generating fault information; and sending the fault information to mobile terminals in a pushing way. With the adoption of the method and a system for the remote monitoring and cloud diagnosis of the automobile faults, the specific fault information is sent into the interiors of the mobile terminals carried by an automobile owner, a driver, repair staff and the like in the pushing way through the network, so that the automobile conditions can be learned rapidly, correctly and timely; in such a way, quite good help is provided for the smooth and rapid removal of the faults; the repair time is saved and the repair cost is decreased, and moreover, the automobile faults can be monitored remotely; and therefore, the management and the maintenance on the automobiles by people are facilitated.

A method for simulating, analyzing and/or designing an automated assembly system including a plurality of resources comprises: defining at least one cell from an automated assembly line; associating an action table with each cell; calculating a duration, a success rate and a repair time for each process step using fundamental data of the resources; and associating the duration, the success rate and the repair time with each process step in each action table. The action table of a respective cell specifies all process steps that are executed in the respective cell. A system for simulating, analyzing and/or designing an automated assembly system comprises a discrete event simulator and a three-dimensional kinematic and dynamic simulator coupled with the discrete event simulator. The kinematic and dynamic simulator generates timing data for the automated assembly system that is used by the discrete event simulator. A system for determining a costed-throughput is also provided.

Methods and systems are provided for the analysis of one or more diagnostic trouble codes (DTCs), and for the scheduling of vehicle service appointments based at least in part on the DTC analysis. The method involves analyzing the received DTCs to determine an underlying problem. Once the underlying problem is determined, the parts and estimated repair time needed to repair the problem is determined. In one approach, the selection of the proposed slot for the service appointment involves coordinating numerous factors, such as the availability of needed parts, the user's scheduling preferences, and the availability of slots in the dealer's service schedule.

The invention discloses a three-dimensional assembling technology design system based on information physical fusion and an operation method thereof. The actual assembling environment and the virtualassembling system are combined by the system through the information physical fusion technology, the actually measured data of the critical elements/components/parts are acquired through the field equipment of the physical layer, the actually measured data are transmitted to the virtual information layer through the communication layer and used as the digital twin model data of product virtual-actual mapping to be used for virtual assembling three-dimensional technology planning and design, assembling precision prediction and the online correction instruction are given through virtual assembling simulation and process optimization and feedback control are performed on the field assembling activity so that the digital twin model can be continuously and dynamically updated to meet the product assembling design requirements, and finally the operator is guided to complete the product assembling task by three-dimensional technology demonstration. The trial assembling and repair time in theassembling activity can be reduced so that the product field assembling efficiency can be guaranteed and the product assembling accuracy and assembling accuracy can be enhanced.

The invention discloses a method and a system for track traffic failure recognition based on improved Bayesian algorithm. The method comprises the following steps of: 1) determining various failure modes and corresponding monitoring values of each traffic device according to circuit structure of the traffic device, and building a failure model aiming at each failure mode and corresponding monitoring value; 2) recognizing a parent child relation among the monitoring data according to the failure model, thus obtaining a standard failure sample data; 3) training with the standard failure sample data through a Bayesian algorithm to obtain a failure recognition model, wherein weight of a parent node in the failure recognition model of each failure mode is greater than that of a child node; 4) monitoring and acquiring various monitoring values of the traffic device in real time, and recording time sequence of the monitoring values; 5) recognizing data through the failure recognition model, and determining corresponding failure. By the method and the system, accuracy of failure recognition is improved, failure repair time is reduced, the device can perform failure self-diagnosis, and traffic safety is guaranteed in the operation and maintenance aspect and the device aspect.

The invention discloses a fault prediction method based on machine learning, which comprises the steps of 1) collecting set running index data of an object to be predicted, obtaining time series dataof each set running index, and collecting historical fault data of the object to be predicted; 2) respectively performing feature extraction on the data collected in the step 1), and inputting the extracted features into a machine learning system for training to obtain a basic fault prediction model; and 3) collecting real-time data of the set running indexes of the object to be predicted in running, performing feature extraction on the real-time data, inputting the extracted features into the basic fault prediction model, and predicting whether the object to be predicted has a fault or not atpresent. According to the method, the safe operation efficiency of equipment is improved, the maintenance time is shortened, the maintenance cost is reduced, the service life of the equipment is prolonged, and influences caused by the failure of some equipment are reduced or avoided.

The invention belongs to the technical field of metal plate forming, and relates to a wall board creep age forming method based on finite element mould profile rebound compensation. By the wall board creep age forming method, a finite element method is used for determining a mould profile, technological tests and mould repairing times are largely reduced, appearance control of formed parts can be realized, and forming precision is improved; according to the data through analog computation of forming process and rebound process of a formed piece, the mould profile is compensated, revised and optimized, so that rebound parts are the same as or close to the appearance of an ideal formed piece, and automatic optimization to the mould appearance during a creep age forming process is realized. The forming method can be applicable to various wallboard structures; except for overall wallboard parts, the forming method can be used for welding overall wallboards; welding residual stress can be effectively reduced, stress corrosion resistance capability is enhanced, and service lives of parts are prolonged.

A method for calculating the maintenance time interval of a civil aircraft system belongs to the technical field of aviation. The method selects economy (cost/hour) as an optimization object, wherein as for safety tasks, two methods are used to calculate the time intervals of corresponding maintenance tasks, safety and economy are emphasized particularly, and the economy arithmetic recommended scope, safety threshold and product model regular checking target value are taken into comprehensive consideration to determine the task time interval. The method is economy-centered, is limited by safety and takes reliability as input idea, so as to recommend a reasonable maintenance time interval. A working group comprehensively takes supplier recommended value, engineering recommended value, history maintenance data, similar system part data, industrial experience point, the recommended value of the method and the like into consideration to make a decision, so that an optimum maintenance time interval judgment is made. The method is used for solving the problem that the civil aircraft cannot accurately judge the system part maintenance time interval due to the lack of a large number of service data during a maintenance review board report (MRBR) formulation process.

The invention discloses a complex product assembly process accurate repair method based on digital twinning and an operation system thereof. For the key procedures in the product assembly process, actually measured data acquisition and processing are carried out on a part assembly matching area, the actually measured data and an ideal model are deeply fused, and a part digital twinning model is constructed; solving and updating the part assembly positioning constraint in combination with the planned assembly sequence to obtain a product digital twinning model; the digital twinning model of theproduct is used for pre-assembly simulation analysis, according to an assembly simulation analysis result and an assembly collision interference check condition, position information of a matching area, needing to be repaired, of a part and the minimum repair amount are obtained through calculation, a reasonable part repair scheme is given, and online repair and precise control over the assemblyprocess are completed. Intelligent closed-loop control over the complex product assembling process can be achieved, and important engineering significance is achieved for shortening the trial assemblyand repair time in the assembling process and improving the assembling precision and efficiency.

The invention discloses a rapid image repairing method based on a sample. The rapid image repairing method includes the steps that a to-be-repaired area is determined through marks; a contour line of a boundary of the to-be-repaired area and a known area is selected; a data value and a confidence coefficient value of a template are calculated; adjusting parameters are introduced to determine a to-be-repaired module with the highest priority; in the known area adjacent to the to-be-repaired module, conducting searching from the near to the distant to obtain an optimal matching block according to the distance between the optimal matching block and a center point of the to-be-repaired module; filling the corresponding position of the to-be-repaired module with a pixel point corresponding to the optimal matching block, and meanwhile updating the confidence value of the newly-updated pixel point; repeatedly executing the steps on the to-be-repaired area until the to-be-repaired area is filled completely. The rapid image repairing method is optimized from priority operation, data valve calculation, matching area and optimal matching block searching and confidence value updating, and the repairing effect is more natural; meanwhile, matching only needs to be carried out on a local part during repairing, so that the repairing time is greatly shortened.

The invention discloses a power distribution network fault active generation and repair scheduling method and apparatus. The power distribution network fault active generation and repair scheduling method comprises the following steps: obtaining abnormity active alarm information of distribution network equipment; according to the abnormity active alarm information, obtaining correlation equipment data information in a topology structure of the distribution network equipment; and according to the correlation equipment data information, performing fault study and determining on the distribution network equipment so as to obtain fault causes and fault positioning information. According to the invention, the problems of long fault first-aid repair time and low working efficiency due to blind and ineffective labor distribution of a power supply company are solved.

The invention provides an underground power network data management and power network planning system and a management method. The system includes a data module, wherein the data module is connected with an underground power network modeling module, an underground power network display module, an inquiry statistics analysis module, a planning design module and a system supervision module respectively. The underground power network data management and power network planning system and the management method, provided by the invention, provide an information management platform for production management personnel to comprehensively master the present situation of the underground power network, guarantee the safe operation of the underground power network and reduce the economic loss caused by electric cable accidents; the informatization construction of the underground power network is facilitated, the power cable management level is improved; the conventional resources are utilized to the utmost extent, land occupied for electric power construction is saved, and duplicate construction is reduced; the speed for emergency rescue is improved, the failure emergency repair time is shortened, power supply volume is increased; and the working efficiency and working quality are improved, and cost of human resources is saved.

The invention provides a high-strength and anti-stripping type homogenous composite castable and a preparation method, and belongs to the technical field of refractory castables. The composite castable comprises the following raw materials by mass percent: 40 to 70% of aggregate and powder of bauxite-based homogenized grogs, 3 to 10% of alumina powder, 2 to 7% of silica powder, 1 to 7% of inorganic binding agent, 5 to 30% of auxiliary raw material, and 0.1 to 0.45% of additive. An efficient dispersing agent and proper additive components are adopted and are prepared into the high-strength and anti-stripping type homogenous composite castable through the blending technique. The high-strength and anti-stripping type homogenous composite castable has the advantages that the composition and structure are uniform, the problems that the conventional high-alumina and corundum castables are low in high-temperature strength, easy to desquamate and crack at high temperature, and poor in resistance to corrosion due to alkali, chlorine and sulfur, can be effectively solved, the life cycle is prolonged, and the plannable performance respect to the maintenance and repair time is improved at the same time.

The invention discloses a method for calculating a repair cycle of a power transformer in operation. The method has the advantages that: influence of failure-rate level and a repair time interval on the residual life cost of the power transformer is fully considered, a reasonable repair cycle is determined, and equipment management cost is reduced. The method comprises the following steps of: firstly, establishing a power transformer failure rate and average no-failure operation time estimation model on the basis of operating reliability data of equipment; secondly, according to a calculation result of the estimation model, establishing an in-operation power transformer residual life cost model for comprehensively considering the failure-rate level of the equipment and the repair time interval, and classifying the residual life cost into operating cost, repair cost, failure cost, failure loss, operating period indirect cost and disposal cost according to operation type; and finally, with the aim of optimizing the residual life cost, calculating a suggested time interval of the repair cycle of the power transformer.

The invention discloses a multi-component system group maintenance decision method and a multi-component system group maintenance decision device based on prediction. The method comprises the following steps: predicting the residue life of single components at a monitoring time point, and calculating the single-component optimal maintenance time; setting a time window with each monitoring time point as the starting time point and the maintenance preparation duration as the time length, and calculating the single-component optimal maintenance time falling into the time range of the time window; building a penalty function, and acquiring a maintenance group structure with minimum penalty function value and the maintenance group optimal maintenance time according to the calculated single-component optimal maintenance time falling into the time window for each monitoring time point; grouping-maintaining the single components in the maintenance group structure; and after maintenance, continuing acquiring the single-component optimal maintenance time, and so on. According to the invention, the most saving group maintenance mode for maintenance of a multi-component system can be decided according to the predicted single-component residue life, so that the maintenance cost is saved, the downtime is reduced, and the loss is reduced.

The invention relates to a grid fault research and judge method based on a fault indicator and a public/specific transformer, the method comprises the steps: a distribution network topology model in a distribution automation master station system establishes the internal storage topology of distribution network primary equipment and records the historical topological relation before the equipment fault; when the fault occurs on a feeder, the distribution master station system performs preprocessing on a received fault indication signal to filter false information; combined with the historical topological relation, the distribution master station system performs researching and judging to quickly position a fault section according to flip operation of the preprocessing; combined with the historical topological relation and distribution transform historical data, the distribution master station system uses collected data interoperated with an usage and collection system to quickly position tripping equipment. According to the invention, the method can timely and quickly prompt a dispatcher and point out the fault section and tripping equipment, the efficiency and intellectuality during the fault emergency repairing process are improved, so that the line patrol range is greatly narrowed, the fault repairing time is shortened, and the efficiency of the power distribution repairing work is improved.