Today, China has become the world’s largest agricultural machinery and equipment countries and the use of countries, agricultural machinery industry for more than a decade to maintain high growth, along with three revolutionary changes in agricultural technology, has initially ushered in the development of artificial intelligence stage. At present, relative to the weak foundation of China’s agricultural machinery standardization work and the requirements of high integration of technology and multidisciplinary integration of artificial intelligence, there are bottlenecks that constrain the problem. This paper makes a directional discussion on the direction of standardization breakthrough through the analysis of digital design technology and typical applications at home and abroad, the analysis of standard transformation of scientific and technological achievements, and the analysis of current problems. Aiming at technical standards development, implementation, and improvement to promote technological innovation, application, and improvement of intelligent manufacturing of agricultural machinery products. So that scientific and technological innovation continues to enhance the level of technical standards, technical standards continue to promote the transformation of scientific and technological achievements. Technical standards and intelligent agricultural machinery lend each other in international competition and become a strategic means to participate in international cooperation and competition. Accelerate the transformation of the old and new dynamics of the agricultural mechanization industry, and realize the standardization and internationalization of the intelligent agricultural mechanization industry.

In order to solve the problem of fault diagnosis of agricultural machinery hydraulic system, the authors propose an application of modern multimedia and sensing technology in fault detection and diagnosis of hydraulic agricultural machinery. By analyzing the component faults and system faults of the hydraulic system of agricultural machinery, an expert system for fault diagnosis is constructed, and a knowledge base and inference engine suitable for fault diagnosis of the hydraulic system of agricultural machinery are designed. In order to further improve the diagnostic accuracy of the fault diagnosis expert system, a fault diagnosis based on sparse coding is designed, and the sparse coding fault diagnosis results are integrated with the expert system to improve the diagnostic accuracy. The experimental results show that after sparse coding fusion, the fault diagnosis accuracy can be improved to more than 91%. In conclusion, the model meets the requirements of fault diagnosis and puts forward a new idea for the fault diagnosis of agricultural machinery hydraulic system. Make the agricultural machinery and equipment industry develop healthily.

In recent years, along with the rapid growth of the number of agricultural machinery and equipment in China, the problems of high failure rate and low operational efficiency of agricultural machinery have gradually emerged. Therefore, how to diagnose and monitor the common faults of agricultural machinery in real time has become a hot spot for research on common faults of agricultural machinery. Based on the current technical requirements of fault diagnosis and monitoring of common faults of agricultural machinery, this paper designs and implements a vibration feature model based on the GDBT algorithm with the common faults of agricultural machinery as the monitoring object, and shows that the corresponding values of the fault size at 0.1 mm are equal to 8.1m/s2, and the corresponding effective values at the size of 2 mm are 34, 19 m/s2. And the vibration waveform is particularly similar to the trend of the fault, with the minimum values of 13 and 110 m/s2, respectively, both at the fault size of 0.5 mm.