I. Query through 4s
In general, 4s will have complete vehicle files for each owner, which will include details of maintenance records, maintenance time and replacement spare parts. You can find the vehicle's maintenance records only if you provide information on the vehicle to the 4s store, such as the frame number, license plate number, etc。
Ii. The use of a third party query platform
Today, vehicle protection records can be checked on a micro-intelligence sub-program。
All you need to do is open a micro-letter, search a micro-trust applet, enter a micro-channel, choose a [vehicle maintenance record] query, upload a pass or enter a frame number. A special reminder is the need to check the frame numbers carefully to ensure that the information is accurate。
A search can also be made through a micro-intelligence public sign that focuses on the [one-size-fits-all] approach。
In addition to this, we can also check micro-psychological or public numbers: vehicle accident risk records, risk insurance, business risk insurance, vehicle status, mortgage status, kilometres, vehicle plates, frame numbers, number of vehicles, etc
Iii. Access to permits and maintenance manuals
The permit and maintenance manual, which is an important document and information for vehicles, usually records vehicle protection. By looking at these two documents, you can find information about the duration of maintenance of the vehicle, the maintenance mileage, etc. It should be noted, however, that this information may not be exhaustive enough to give you a full picture of the protection status of the vehicle。
Big data play a number of important roles in the optimization of electro-simulation processes, as follows:
Retroactive realization of coating quality: 300 + parameters, such as spray pressure, solid temperature, for each batch of work, are stored in a cloud-end database, which, through statistical process control (spc) analysis, locates the root causes of process fluctuations, thus increasing the good product rate to a higher level, for example to 99. 6 per cent。
Optimization of guidance process parameters: in the area of automobile manufacturing: throughout the vehicle's electric swimming line, with large data, robotic clusters are able to achieve consistency in the thickness of the 10m membranes and ensure the quality stability of electro-simulation coating of vehicle parts. 3c e-area: large data can guide the optimization of spraying parameters, such as in mobile phone case electro-simulation coatings, adjustment of process parameters through large data analysis, which can lead to a 22% increase in the quality of mobile phone shell。
Support for prognosis maintenance: the construction of artificial intelligence (ai) models based on historical traffic data that predicts the life of key components (e. G., shotgun electromagnetic valves, dry wind dryers), thereby reducing maintenance costs, for example, by 40 per cent。
Aided production line retrofitting and optimization: optimization of body design: imitation of process parameters (voltage procedures, electronization time, trajectories, etc.) and white body data through input of paint performance, electro-brain cell parameters (truck size, anode position, size, etc.) to optimize body design, increase membrane thickness, determine the feasibility of coating processes and rank significant risk areas. Optimizing process processes: identify and select the best process parameters, assess the effects of new tanks, adjust the anode voltage program, etc. For example, in multi-carrying (medium and medium weight) co-line production, the size of the cabs varies considerably, and the current use of the same voltage parameters for electro-waivers in the various models, which are set to meet the thickness requirements of the paint sheet of the larger cab, has resulted in far greater than the standard requirements for the surface thickness of the paint film in the lower-sized cab, such as the light card, and has resulted in unnecessary material waste. Through large data-supported simulations, the electro-simulation process electro-voltaic voltage values were adjusted to combine the results of the six options of the two car types to produce a minimum voltage option that would meet the internal and external surface thickness requirements, such as a voltage of 100 v, 2 voltage of 150 v, 3 voltage of 250 v. Production line design optimization: to determine whether the newly designed production line meets the design requirements, adjusts the anode position through simulations, adds auxiliary anodes, achieves production line acceleration, etc. For example, in the current state of production line, the thickness of the critical body electroimulation membrane does not meet the quality requirements for coating, and the increase in the threshold membrane is tested in a variety of ways, thus selecting the most cost-effective option with the least overall impact on the production line. The least costly, least affected and most implementable options, such as the conversion of the top anode to the igbt, separate controls, different voltages, and reset of the side anode voltage, taking into account such factors as the cost of adaptation, production plans, etc., and meeting the mass of the film。
