In the automotive field, there are endless recalls due to various minor problems, and even in many cases, it is only after the owner has used the car for several years that the owner suddenly receives the information of the recall from the manufacturer. As an extremely complex industrial product, from the perspective of car companies, many times the recall is also a helpless move, and to a certain extent, it also loses the reputation of the brand in the hearts of users.
Especially in the current fierce competition environment of intelligent new energy, quality control is the top priority. Huawei's innovative use of AI to empower the quality of the Zhijie S7 has set a new benchmark for quality control in the industry.
Bring AI quality inspection to Zhijie S7 final assembly, effectively avoiding manual omissions
When we open the cabin, we can see that a large number of connecting wiring harnesses are used in automobile manufacturing to meet the information communication between different modules. At the moment of the rapid development of intelligence and electrification, there are more and more internal wiring harnesses of new energy vehicles, and these wiring harnesses are mostly connected in the way of plugging in the car, and the close connection directly affects the safety of the whole vehicle. In the industry, the plugging of wiring harnesses is often manually operated by workers, which will lead to problems such as missing plugging, poor plugging and incorrect connector points caused by negligence in manual operation. In the process of using the user's car, it may bring certain safety hazards.
This problem also existed in the field of mobile phone manufacturing earlier, and Huawei used AI quality inspection to solve this quality control dilemma in the mobile phone manufacturing of the southern factory. Huawei's AI quality inspection can complete quality inspection of devices, labels, scratches, gluing, and other aspects, improving the inspection efficiency and accuracy compared with manual quality inspection. During the production process of the Zhijie S7, Huawei also brought this AI quality inspection solution to the final assembly production.
Specifically, workers can detect single points or continuous multi-points by taking pictures with their mobile phones, and the system will automatically carry out AI detection with background data after receiving the pictures uploaded by the mobile phone APP. This set of detection solutions effectively ensures the connection effectiveness of key wiring harness connectors, avoids detection omissions caused by personnel factors, and improves the quality of products.
Vehicle EOL inspection to ensure high standards of delivery
At the same time, from the point of view of the quality and reliability of the tub curve, in the early stage of the product put into use, the failure rate of the product is higher, and the failure of the product at this stage is mainly due to the defects in the design and manufacturing, especially when the product is put into the market, the corresponding failures and defects are easy to expose. At present, most traditional car companies do not have effective real-time fault reports for troubleshooting and analysis for faults intercepted by quality inspection after the vehicle assembly line is rolled off the assembly line. Therefore, once there is a product failure or defect, traditional car companies need a lot of time to retest the product and analyze the failure, which will lead to problems such as delays in the delivery of products to users, and even recalls after delivery.
With Huawei's empowerment, the production line of the Zhijie S7 adopts Huawei's self-developed data acquisition instrument, and with the help of big data storage, computing and analysis, log indexing, and other capabilities, an automation system based on big data analysis of vehicle faults has been established to conduct multi-dimensional tests such as vehicle electrical aging, dynamic road testing, enhanced road testing, and vehicle ORT aging. At the same time, combined with the EOL detection scenario of the whole vehicle, HWICT technology and mobile phone aging experience, the intelligent S7 can be effectively found with the help of automated tools in the production process, and through real-time calculation, the defects of early products such as electrical, power, mechanical, and technological products can be intercepted.
In terms of data, the maximum number of tests per day can reach 2000 units, which can generate a test evaluation report for each vehicle during testing to ensure that the product is delivered to consumers efficiently in a healthy state.
In addition, Huawei has developed its own automated program to simulate the reliability test of users for the first 500 kilometers. In the ORT test, Huawei's self-developed automated test program performs automated stress tests on the body, electrical system, air conditioner, and high-voltage system, such as 150 times of upper and lower high voltage, and 150 times of opening and closing the back door. For models that expose problems, enter the ORT interception area to analyze and locate the cause of the problem and solve the potential quality hazards. ORT testing can unleash functional hazards in the first 500 kilometers of the vehicle, ensuring that every delivered vehicle is of perfect quality.
Write at the end:
As mentioned at the beginning, the car is a complex system, and after the whole vehicle is rolled off the assembly line in the assembly workshop, there may also be some hidden defects, if it cannot be found and perceived in time and delivered to the user, it will directly affect the product reputation and brand reputation. Huawei has done its work at the forefront, using technologies such as AI quality inspection and automation, as well as more stringent testing standards to ensure that every vehicle rolls off the assembly line perfectly. With the blessing of this set of quality inspection standards, the quality of Zhijie S7 can be firmly controlled.