For the manufacturing industry, in the context of a new round of technological revolution and industrial transformation, intelligent manufacturing characterized by digitalization, networking and intelligence has become a future development trend. The industry-based cloud-based supply chain refinement management, continuous online monitoring, production equipment operation optimization, energy data management, industrial safety production, etc. will greatly enhance the company's development potential. Industrial IoT platforms or industrial cloud platforms represent an important development direction in the future industrial field, and domestic and foreign companies have launched fierce competition. As a traditional manufacturing enterprise mainly engaged in the production of concrete machinery, excavation machinery and other construction machinery, Sany Heavy Industry Group strives to seize the opportunities of current intelligent manufacturing, accumulate new growth momentum, and provide domestic enterprises with experience to learn from.
Building a local industrial Internet of Things open platform process
Sany Heavy Industry Group is mainly engaged in construction machinery such as concrete machinery, road machinery, pile machinery, crawler cranes, etc. The market share of concrete pump and full hydraulic roller is the first in the country, and the pump production is the world's first. As global manufacturing moves toward Industry 4.0, Sany Heavy Industry is also actively seeking to transform into smart manufacturing. The development of Sany Heavy Industry Industrial Internet of Things can basically be divided into three stages.
The early stage of the Internet of Things exploration. Focus on the development and application of "Internet of Things" with M2M as the main component, and establish "M2M remote data acquisition and monitoring platform".
As early as 2005, Sany Heavy Industry recognized that the Internet of Things will play an increasingly important role in the construction machinery industry, and began to conduct research on the core components and related technologies of the construction machinery IoT. Sany Heavy Industry has become the first enterprise in China to apply GPS systems in the construction machinery industry, enabling the identification, location, tracking, monitoring, diagnostic processing and enterprise production management of global equipment.
In 2007, China Mobile Changsha Branch and Sany Heavy Industry cooperated on the “Singapore Engineering Machinery Equipment Intelligent Service System†project to explore the establishment of “M2M Remote Data Acquisition and Monitoring Platform†based on Internet of Things technology. The platform consists of three parts, based on CAN bus data acquisition and reverse control subsystem, intelligent channel subsystem and M2M application platform. The device status parameters are transmitted to the enterprise monitoring center through the China Mobile network through the acquisition and installation, M2M terminal and reverse control system installed on the device.
Initially it was a small-scale commercial application, and trial commercialization was carried out on a small range of engineering equipment and vehicles, mainly to solve technical problems such as unstable information collection state, insufficient bandwidth of wireless network transmission, and network interface modification of monitoring information platform. In 2009, Sany Heavy Industry's “M2M Remote Data Acquisition and Monitoring Platform†realized large-scale commercialization and built the first construction machinery IoT enterprise control center in China. The company further improved the vehicle M2M system, as the standard equipment for construction machinery, pre-installed all before the factory, opened China Mobile's M2M service.
The large-scale application phase of the Internet of Things. Strengthen remote data collection and analysis to improve product intelligence.
After 2010, Sany Heavy Industry strengthened the use of M2M in information collection, data analysis, information transmission, solution operation and other related links, and further subdivided the “M2M remote data acquisition and monitoring platform†and gradually formed three sub-platforms.
The first is the equipment remote monitoring technology support platform. Including equipment remote monitoring technology support platform and equipment data platform, providing reference data for continuous improvement of host equipment quality and equipment after-sales service.
The second is the cluster intelligent service system. Real-time data interaction and sharing between the equipment of each group of the mixing plant through the position information of the mixer truck, the concrete distribution information, the concrete consumption information, and the current working status information of the pumping equipment and the mixer truck, so as to realize the operation coordination and operation between the equipments of the various clusters. guide. Based on this, users can adopt more scientific vehicle scheduling strategies and equipment operation modes to improve business operation efficiency and equipment utilization, and reduce overall operating costs.
The third is the remote monitoring and maintenance system of the pump truck. By researching the intelligent front-end theory of engineering machinery, we have developed intelligent products with industry-leading and independent intellectual property rights, improved the operational capability and level of construction machinery, designed and built advanced remote monitoring systems, and comprehensively improved the information service level and operation of enterprises. effectiveness.
In 2011, Sany Heavy Industry built the M2M application platform with the largest capacity in the domestic construction machinery industry, supporting 500,000 units of parallel access and dynamic expansion capabilities.
In terms of product intelligence, including a complete system of sensors, remote controls, intelligent motion controllers and other complete intelligent terminal components, the company collects data through this intelligent product, enabling the company to remotely monitor and diagnose the device in real time. In 2009, Sany Intelligent Device Control Co., Ltd. was established to build product layouts for sensing, communication, drive, control, human-computer interaction, remote maintenance and diagnosis, and to provide intelligent products and systems for various industrial equipment. Heavy Industry has become the first engineering machinery enterprise in China to independently develop intelligent technologies and products, and has established its leading position in the field of intelligence. In 2011, Sany Heavy Industry Shanghai Huaxing Digital Technology Co., Ltd. was established, focusing on research and development of engineering machinery instrumentation equipment, software and hardware products, automatic control systems and intelligent management systems.
Big data and cloud platform stages. Actively develop big data applications with the help of the ECC Customer Service Platform.
The excavator has the characteristics of powerful function, large production and sales volume, and complex system. It currently presents high efficiency, low energy consumption, intelligent precision, and better user experience. As a traditional manufacturing company, the first step is to digitize all aspects of manufacturing, service and production, and then use computers to calculate, store and share communication.
Sany Heavy Industry independently developed the big data storage and analysis platform, namely “ECC Customer Service Platformâ€, which includes hardware and software for the underlying control of all devices. It can realize two-way interaction and remote control of equipment, and can more than 200,000 customer equipments. The data of the real-time running situation is transmitted to the background through the sensor for analysis and optimization. Daily real-time monitoring of equipment operation information (such as location, working hours, speed, main pressure, fuel consumption, etc.), the system is aimed at agents, operators, excavator bosses and R & D personnel four main users. The key points of big data design start from the four focuses of agents, operators, excavator bosses and R&D personnel. The basic matrix is ​​split into basic vectors, and then split into eigenvalues. The eigenvalues ​​are recombined to form a custom vector and then combined. It becomes a matrix of equipment information and health, which in turn provides value-added services throughout the life cycle. Users can get the status of all aspects of the machine anytime, anywhere through the webpage or mobile app. According to the big data analysis, the precise control of the common gears by region, load and temperature respectively makes the powertrain efficiency of the new product increase by 8% and the fuel consumption is reduced by 10%.
Sany Heavy Industry has formed more than 5,000 dimensions, 200 million per day, and more than 40 TB of big data resources. Based on these data, the big data applications are mainly in the following aspects:
The first is to predict the macro environment. In cooperation with Tsinghua University, Sany Heavy Industry launched the “Excavator Indexâ€, which displays data such as construction time and operating rate of equipment, and predicts the increase in fixed asset investment next month based on the operating rate data, which can reflect China’s macro economy to a certain extent. Trend. According to the data of each province, we found the trend of fixed assets investment in each province, analyzed regional market changes in real time, and guided marketing.
The second is to analyze the product structure. Establish a research and development model based on data analysis, which models can be found to be more popular, and have a strong reference value for product development based on market positioning.
The third is to predict equipment failure. In advance when the equipment is in failure, 50% of the faulty equipment can be predicted in advance, reducing customer losses.
The fourth is to forecast the demand for accessories. Through the equipment operating situation to study its relationship with the consumption of accessories, the establishment of a predictive model can greatly reduce the production costs of enterprises.
Industrial IoT platform has achieved remarkable results
Reduce costs and improve service efficiency
Through the use of intelligent service systems and the intelligent analysis of system data, Sany Heavy Industry has developed energy-saving control technology for excavators, which greatly improves fuel efficiency and reduces fuel costs during the use of excavators.
Through real-time monitoring of equipment operation, key parts wear, fuel consumption and pressure, etc., early warnings are issued before problems occur, and active maintenance is achieved to achieve precise control of costs and greatly improve user service quality. By breaking through the bottleneck of the core technology of safety and control of construction machinery and equipment, it promoted the development of financial leasing business and improved service efficiency.
Implementing differentiated strategy to promote enterprise transformation and development
In the field of construction machinery, with the Internet of Things and big data, Sany Heavy Industry provides scientific solutions and services to improve the performance and user experience of the equipment, and to develop an intelligent differentiation for construction machinery such as excavators, pump trucks and pavers. Develop the road and realize the transformation and development of the enterprise.
Actively explore the innovation of industrial internet of business models
Sany Heavy Industry has established a joint venture with some domestic venture capital institutions to establish Mingzhao Capital. The fund focuses on investing in entrepreneurial teams and SMEs in Industry 4.0 or the Internet of Things. In March 2016, Sanyi Heavy Industry and Zhuhai Dahengqin Investment Co., Ltd. and Zhuhai Yuchuang Investment Management Co., Ltd. and other 15 shareholders jointly initiated the establishment of the first domestic insurance company based on the Internet of Things, Jiulong Insurance. Due to the diversity and complexity of its equipment, few insurance companies have penetrated into this field, and market demand and universal supply misplacement are obvious. With more than 200 agents and 9000 marketing service teams from Sany Heavy Industry across the country, the company has integrated professional insurance products into the vertical equipment Internet platform for related equipment manufacturing, and connected with offline sales channels and service resources. Relying on the Internet of Things and big data, Jiulong Insurance can more accurately identify risks and pricing, customize insurance products and services according to customers' risk characteristics, and provide distinctive financial services for Chinese equipment manufacturing products to go out.
In the future, Sany Heavy Industry plans to integrate domestic resources to build a domestic industrial IoT platform to further enhance the level of intelligent manufacturing in China's industry.
Looking at the future development trend of industrial internet of things from the practice of Sany Heavy Industry
It is estimated that by 2020, the value of the global industrial Internet of Things will reach 1.7 trillion US dollars. In today's data explosion era, how to obtain data, analyze data, and use data to direct production is the direction of industrial development. Industrial Internet of Things is an important form of industrial digitalization and networking, and it is also the key to building core competitiveness in the future.
Foreign companies have entered the industrial Internet of Things. In the field of industrial Internet, developed countries are at the forefront. General Electric (GE) has developed predictable asset management tools such as Predix, PredicTIvity and APM to connect and connect various production equipment and suppliers to the cloud to provide asset performance management and operational optimization services. In 2014, the company received more than $1 billion in revenue through its PredicTIvity solution. In 2015, the company further opened the Predix Industrial Internet platform, enabling more machines to access the network platform worldwide. GE will also launch Predix.io, a dedicated cloud platform for application developers, to further expand GE's industrial Internet platform. In addition, IBM has launched the Bluemix cloud platform with more than 30,000 cloud customers worldwide. In 2014, Siemens AG adopted SAPHANA cloud platform technology to officially provide data-based services such as predictive maintenance, asset analysis and energy data management in 2014.
Industrial data analysis services will bring more market value
In the long run, the value of hardware manufacturing is decreasing, and the value of intelligent products will continue to increase. Big data and smart manufacturing have brought huge impacts on traditional industries. Strong industrial data analysis services will become an important part of the digital strategy of manufacturing enterprises. Industrial Internet of Things will show greater strategic value.
Collaborative innovation can build China's domestic industrial IoT platform
The development of the Internet of Things big data platform is very complicated, and each enterprise has to develop its own "unrealistic". The industrial IoT platform is also facing problems such as insufficient equipment compatibility, data acquisition technology to be improved, and network security concerns. To build a strong local industrial IoT big data platform, it is difficult to achieve the efforts of individual companies alone. Independent practices cannot be “interconnectedâ€. Machines, hardware, and software companies must work together to create an open platform based on big data across the industry, so that the value of the platform can be truly realized. The role.
Actively carry out business model innovation
The Internet of Things promotes business model innovation by improving business processes. The improvement of service demand has become an important driving force for the development of industrial Internet of Things. In the context of the Internet of Things, equipment manufacturers can not charge equipment, but charge fees based on the amount of equipment used by customers. At the same time, the market competition model will shift from individual competition to ecological competition. Enterprises must actively participate in the construction of the ecosystem with an open mind. Equipment manufacturers should consider more cooperation with third-party software companies to achieve win-win cooperation.
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