The linear motor AI helps the environment to become intelligent in the future. Perhaps in the near future, a "smart environment cloud" platform will monitor and manage the aforementioned "sanitation workers" in real time, and set up a new "kingdom" that integrates artificial intelligence environment equipment to orderly serve humans.

     In the future, there will be "intelligence classification trash cans" in the community. The “sanitation workers” in the public areas are very different: unmanned new energy vehicles, road sweepers, and sweeping lands. Smart gardening robots cut flowers and trees. The intelligent sanitation cleaning robot moves back and forth on the road to “sweep” and collect garbage while “walking”. Garbage will be towed by unmanned garbage collection vehicles, kitchen garbage trucks, etc., to unmanned large-scale garbage transfer stations, unattended restaurant kitchen waste treatment plants... Cycle operation.

     The traditional sanitation industry centered on the “human-machine integration” operation method is mainly based on people and supplemented by equipment. The unreasonable allocation of resources in the sanitation market has brought about problems such as insufficient investment and innovation, rising costs, and fragmented supervision. The upgrading of the environmental industry requires no intelligence, especially the help of AI.
     The aging of sanitation workers is a new problem in the sanitation industry. The "hands" of AI have involved two major areas: the development and replacement of intelligent robots for sanitation workers, and the realization of unmanned vehicles for sanitation operations. Now there are "masterpieces."
     The world's first unmanned hydraulic drive smart mini road sweeper developed independently by Zoomlion Environment. This “nobody sweep” can realize full-state drone driving and automatically perceive surrounding pedestrians, vehicles, animals and other objects, and can randomly avoid or pause. According to the types and loads of ground waste, the operating parameters such as the speed and the scanning speed can be adjusted. , to achieve accurate energy-saving cleaning. This is also the first unmanned road sweeper vehicle in China that has been “put on the job” in real traffic conditions.
     In the future, we will strive to achieve a subversive leap from a smart cloud platform to a smart cloud brain, and build a smart, all-environment brain-brain platform with a high-level, intelligence-like decision-making capability that seamlessly interfaces with a smart city system.
     Tongmao currently focuses on the following research projects: linear motor loading test technology and test equipment, linear motor positioning force testing technology and testing equipment, linear motor thrust coefficient testing technology and testing equipment, and linear motor test bench planning scheme.

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