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Service innovation and digital intelligence transformation

Sep 21, 2022

Service innovation

At present, the construction machinery market has entered the stock market, and the trend of product technology towards electronic, digital, new energy, Internet of Things and intelligent is more obvious. With the gradual entry of China's construction machinery market into the stock market, the demand of user groups is increasingly diversified, and they are faced with various choices of oversupply. Users not only require full life cycle solutions for equipment, but also urgently need to disassemble and respond to differentiated needs.

For the main engine plant of construction machinery, the challenges and opportunities brought by the upgrading of national four and product intellectualization coexist. Service innovation must be carried out around efficiency, and digital intelligence is an important starting point. At the same time, the service must also take advantage of the market transformation period, practice our own digital intelligence transformation skills, pay attention to customer needs, and upgrade from basic services to comprehensive services.

Get through the business flow Digital management upgrade

It is predicted by the industry that the intelligent products of construction machinery will end their explosive growth in 2024 or 2025 and enter the competition gathering period. The intellectualization of mechanical equipment has laid the foundation for the digital intellectualization of services. Only by following the actual needs of customers, focusing on getting through the business flow and implementing digital upgrade management, can engineering machinery related enterprises be invincible.

At present, there are some pain points in the service preparation stage, service implementation stage, settlement and evaluation stage of construction machinery services. The pain points in the service preparation stage include: large investment in training and poor results; Service resource information sharing is insufficient and management is difficult. The digital intelligent solutions are as follows: remote training, using AR? VR tools to improve the training effect; Online management of service resources and implementation of online benchmarking improvement.

Pain points in the service implementation stage include: manual dispatching, opaque sharing of service progress; Fault diagnosis is difficult, and the supply of parts is not coordinated. The digital intelligent solution is: intelligent dispatching, remote service, real-time online sharing of service progress; Effective diagnosis support system shall be adopted, including online data query, case matching, intelligent diagnosis, remote diagnosis support by expert team, etc. Develop a spare parts reserve plan system based on big data.

The pain points in the settlement and evaluation stages include: the business and finance are not integrated, and the settlement efficiency is low; The efficiency of customer follow-up and maintenance is low, and the system is poor. The digital intelligent solutions are: settlement by order, collection, online collection and clearing, and implementation of integrated refined management; Implement systematic management based on service and equipment life cycle.

Remote service upgrade case

Remote service upgrading requires OEMs to work with suppliers to jointly serve customers and create value for customers with high efficiency and low consumption. The purpose of the engine remote calibration upgrade is to let customers experience the optimal performance of the engine and customize the calibration to improve the customer experience. This product uses advanced OTA technology, and users only need to stop for 5 minutes to complete the software upgrade, so that users can enjoy the best engine performance with the lowest time cost, and the service is improved from passive response to preventive active maintenance.

Core connotation of intelligent operation solution

At present, the equipment systems of various manufacturers are independent, the system lacks unified integration, and the data and information are lack of correlation and integration. All kinds of equipment control systems are under local and limited control, lacking "intelligent brain" to achieve coordination and linkage. Passive and responsive safety monitoring, equipment maintenance, few people and no one. Most of them rely on experience judgment and single point judgment, lacking reliable sharing and intelligent analysis of data information.

The customer's demand for intelligence can be summarized in eight words: intelligence, efficiency, security and green. Only when we are fully prepared to pay attention to customers' needs can we create greater value for customers. The core connotation of intelligent operation solution includes five aspects: first, digitalization of construction environment, including 3D digital modeling of environment, construction earthwork measurement, construction parameter calibration, formation of construction planning, product quantity planning, etc. The second is the digitalization of construction methods, such as the digitalization of earthwork collection, transportation and drainage construction process, road compaction process, etc. The third is digital operation management, including project management, plan management, safety management, equipment management (equipment status, equipment scheduling, equipment maintenance), cost management, personnel management, etc. Fourth, equipment data monitoring, including positioning, fuel consumption, equipment efficiency, cost, etc. Fifthly, intelligent equipment collaborative scheduling and control, including intelligent shift scheduling, issuing of construction instructions and parameters, monitoring of implementation results, and unmanned operation control and scheduling.