Let intelligence benefit small and medium-sized enterprises

Release date 2026-04-27 15:07:51 Reading 1

used excavator At the 15th Science and Technology Festival of the three groups, no one cooperated with the fleet to "press the road". The visual language model installed on the vehicle side allowed the mechanical equipment to not only understand instructions, but also understand the scene. Viewers can sit in a remote control intelligent cockpit and easily complete different production processes such as driving, loading, and unloading. Multiple intelligent pavers work together, reducing the number of operators by 60%.

This scene is no longer an isolated case. In the spring of 2026, from Changsha to Xuzhou, from Liugong to on-the-job workers, no one will be showcasing the rolling machine group, AI excavators, and remote control mining equipment, which have become the absolute protagonists of major exhibitions. However, behind the countless eye-catching equipment, deeper structural challenges are emerging: imperfect standards, digital divide, unsuitable scenarios, shortage of versatile talents... These problems do not automatically dissolve with the breakthrough of a single enterprise, but constitute the collective threshold that must be crossed from "single point intelligence" to "system intelligence" in the entire industry. Fortunately, various parties in the construction machinery industry are exploring systematic solutions, establishing standards together, empowering ecosystems, deepening scenarios, and integrating industry and education. A collective action on "how to truly implement intelligence" is unfolding.

A standardized industry joint construction

Nowadays, entering any intelligent factory of a large construction machinery enterprise, you can see AGV cars shuttling, precise welding connections of robotic arms, and real-time data jumping on the large screen. But when these devices come from different suppliers and someone needs to deploy different brands of intelligent construction machinery in the same workplace, the problem becomes apparent: communication protocols are not unified, data interfaces are incompatible, and collaborative manufacturing instructions are often "chicken and duck talk".

used excavator The fundamental reason for this phenomenon is that the industry has long lacked unified intelligent grading standards, data interaction standards, and security standards. The important industries of equipment preparation machinery, such as metallurgy, ports, and energy, have shown significant trends in digitalization, networking, and intelligence. However, due to the wide range of types and characteristics of equipment machinery, and the fact that different types of equipment have different characteristics, various industries have different understandings and requirements for the functions and characteristics of equipment machinery intelligence, and there are too many national standards without normative basis. "Sun Yuanhua, Deputy Chief Designer of Dalian Huarui Heavy Industry Group Co., Ltd., bluntly stated that" most national standards for equipment machinery intelligence are in the blank stage. The chain reaction caused by the lack of standards is obvious: enterprises investing in open and closed systems again causes waste, users need to learn multiple operating systems, the industry is difficult to form large-scale and controllable intelligent used excavator solutions, and small and medium-sized enterprises are at a loss.

used excavator In response to this dilemma, the industry is moving from "individual enterprises fighting on their own" to "collective specimen construction". In March of this year, the Intelligent Construction Equipment and Application Working Committee of the China Construction Machinery Industry Association officially launched the group standard preparation work for the "Classification of Intelligent Construction Machinery". used excavator Representatives from more than 30 units including Xuzhou Engineering Research Institute, China Railway Sichuan Collection Center, China Railway Group, Shanghai Jiao Tong University, Chongqing University, etc. attended the meeting. Wu Peiguo, Secretary General of the China Construction Machinery Industry Association, pointed out that "intelligence, greenness, and integration" are the key development directions of the construction machinery industry during the 11th Five Year Plan period. The convening of the sports meeting will play a protective role in promoting the standardized and scientific development of intelligent construction machinery.

used excavator At the same time, eight departments including the Ministry of Industry and Information Technology jointly issued the "Implementation Plan for Digital Transformation of Mechanical Engineering Industry (2025-2030)", proposing that by 2030, enterprises should basically complete a round of digital transformation and build no less than 500 excellent level intelligent factories. used excavator They also require the key development of high-end green engineering machinery for intelligent operation scenarios, and encourage leading enterprises to work together with upstream and downstream to formulate collaborative technology transformation plans. From non-existent to standardized, from enterprise standards to group standards and then to national policy guidance, this standardization movement is laying the most fundamental "track" for the intelligent transformation of the entire industry.

used excavator Let intelligence benefit small and medium-sized enterprises

used excavator When leading enterprises invest billions of yuan to build "lighthouse factories", small and medium-sized construction machinery enterprises, which account for more than 90% of the total number of enterprises in the industry, are facing the embarrassing situation of "waiting for death without transformation, and fearing to seek death without transformation".

used excavator According to a survey conducted by CCID Research Institute, most small and medium-sized enterprises are located in the middle and lower ends of traditional industries and value chains. Due to constraints such as manpower and funding, 3% of enterprises believe that their transformation ability is insufficient, while 31% reflect a lack of digital talent and 12% believe that funding is insufficient. used excavator These problems have evolved into pain points such as "not wanting to transform", "not daring to transform", and "not knowing how to transform". The construction machinery industry has typical characteristics of "heavy assets and long cycles". A complete digital management system can cost millions of yuan, and with hidden costs such as hardware upgrades and personnel training, it is enough to deter most small and medium-sized enterprises.

used excavator What's even more tricky is not knowing where to start, what path to take, and what pace to advance. The person in charge of a small and medium-sized hydraulic parts supporting enterprise in Hunan told reporters helplessly, "We went to see the lighthouse factory and were shocked, but when we turned back, we found that we couldn't control it anymore. They have an IT team of hundreds of people, and we couldn't even hire an engineer who knows PLC programming. The phenomenon of 'ability and vision being inverted' is commonly seen in small and medium-sized supporting enterprises, and the digital divide is widening the 'wealth gap' within the industry.　

How to transform intelligence from a "feast for a few" to an "opportunity for the majority"? It is more important to build a systematic and hierarchical assistance system. A number of industrial Internet platform enterprises have launched digital solutions that are "lightweight, modular and cloud based". Traditional ERP and MES systems that are used excavator "large and comprehensive" are only "heavy and expensive", while the new generation of products support on-demand subscriptions and monthly payments, and a workshop scheduling module may only cost a few thousand yuan per month. We create lightweight tools that allow enterprises to freely combine modules and inserts as needed, avoiding the bulky problems of traditional bulky systems, "explained Chen Yulong, General Manager of Lanzhuo Digital Technology Co., Ltd.

Precise support at the capital level is being explored and implemented. Experts suggest establishing a "Digital Transformation Subsidy Fund for Small Enterprises in Construction Machinery" and piloting the construction of "Shared Intelligent Factories" in industrial agglomeration areas, allowing small and medium-sized enterprises to use high-end equipment at a per piece delivery cost.

used excavator More importantly, the radiation driving effect of the "chain owner" enterprises is being activated. The Implementation Plan for Digital Transformation of Mechanical Engineering Industry clearly proposes to support the construction of supply chain collaboration platforms for key industry backbone enterprises such as construction machinery, and drive the chain transformation of small and medium-sized enterprises.used excavator Behind each host, there are hundreds or even thousands of supporting enterprises, and leading whole machine manufacturers can extend their digital platforms to the upstream and downstream of the supply chain. The Hanshuo Industrial Internet Platform of Slow Industry Group has connected more than 1.61 million devices worldwide, covering multiple sub industries; The three root cloud platforms are actively practicing the "chain owner empowerment" model, connecting thousands of devices and hundreds of suppliers into a chain.

Dual breakthrough of scene cultivation and compound talents

used excavator If the environment between factory vehicles is a "controllable environment", then construction sites, mines, and tunnels are "extreme environments". Dust, vibration, temperature differences, communication blind spots, and cross operation of multiple devices can all lead to the "loss of soul" of AI algorithms. Li Hongwei, Vice President of Three Groups and Director of R&D Management Headquarters, admitted at three science and technology festivals in 2026 that "currently achievable unmanned systems still rely mainly on rule-based algorithms rather than data-driven approaches. The overall collaborative efficiency of machinery and labor costs do not have outstanding comparative advantages, and the safety and reliability of intelligent machinery also need to be improved." This judgment points to the core pain point: in factories, the environment can be controlled and tasks are clear, but in open construction sites, weather changes, complex terrain, and unstable signals make it exponentially more difficult to coordinate multiple devices. When an AI excavator needs to share real-time working condition information with an AI bulldozer and make autonomous decisions, the current technological maturity is far from sufficient to support large-scale commercial use.

And Shantui Corporation's exploration provides another possibility. In 2025, Shantui Corporation released the world's first AI intelligent bulldozer with autonomous decision-making capabilities. After more than 25000 algorithm training and field testing, the overall construction efficiency increased by 40%, and the one-time maturity rate jumped from 70% to over 95%. In the actual battle test of a reservoir project site in Shandong, the equipment achieved continuous operation for 260 hours without interruption, with a readiness rate of 100%. Industry experts point out that this provides a remanufacturableused excavator technological path for the intelligent transformation of the industry. In relatively enclosed scenarios such as mining areas and ports, the commercialization of technologies such as unmanned mining trucks and remote control of excavators has also used excavator shown initial results. At the Changsha International Engineering Machinery Exhibition, a joint venture of Heavy Industry Science and Technology dynamically showcased hundreds of Yongle level unmanned mines using wide body automatic unloading vehicles, achieving full coverage of unmanned loading, transportation, and unloading processes.

used excavator More difficult to overcome than technology is the bottleneck of 'people'. Intelligentization used excavator requires a composite talent who understands both mechanical principles and hydraulic transmission, as well as artificial intelligence algorithms and data analysis, and is familiar with construction processes. The deep integration of AI and construction machinery is based on talent. Vice President and Chief Engineer of Xuzhou Construction Machinery, Dan Zenghai, proposed the establishment of a composite talent training system AI, the construction of a joint training mechanism for "base and other enterprises and universities", and the targeted cultivation of used excavator AI+construction machinery composite talents that are immediately needed in the industry.

In response to this situation, the industry is simultaneously making efforts from two dimensions: research and development paradigm and talent cultivation. At the beginning of the research, some enterprises are jointly establishing an "intelligent outdoor testing site for construction machinery" to simulate extreme working conditions such as high altitude, extreme cold, and humid heat, and form a public dataset. On the technical route, we adopt the used excavator approach of "digital twin+reinforcement learning", which involves conducting extensive experimental cross training in a virtual environment, and then transferring mature strategies to real devices for fine-tuning.

used excavator In terms of talent cultivation, a deep integration of obstetrics education is accelerating. The Implementation Plan for Digital Transformation of Mechanical Engineering Industry clearly proposes to accelerate the cultivation of system solution suppliers who understand both the industry and digitalization. Multiple universities have added the direction of "Intelligent Equipment Engineering" under the first level discipline of Mechanical Engineering, reconstructed the curriculum system, and added modules such as machine learning and sensor technology. The dual breakthrough of technology and talent is paving the way for the intelligent "last mile" overpass.

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Let intelligence benefit small and medium-sized enterprises

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We guarantee the quality of each machine and promise to offer you the most favorable price.

Let intelligence benefit small and medium-sized enterprises

We guarantee the quality of each machine and promise
to offer you the most favorable price.