The Lianhua Linde Gas Station Yizhuang project is a supporting project for SMIC's Beijing project. It was put into operation in early March 2022 and has been running steadily for nearly a year. Adopting Funen“ Equipment leasing+hosting operation+technical guidance” Mode, equipped with professional teams and scientific management processes, overcome initial challenges, and achieve“ Zero Safety Accidents; Waiting for the target.
As the full process consulting service provider for the Lianhua Lind Gas Station Yizhuang project, our company relies on digital twin technology to build an intelligent consulting system that runs through the entire project cycle. Through in-depth analysis of massive data, construction of intelligent decision-making models, and real-time dynamic monitoring systems, we aim to achieve intelligent leaps in project planning and design to completion and acceptance, providing innovative examples for modern industrial park consulting services.
AI+Professional Evaluation Stage
Relying on AI intelligent technology, we can provide professional evaluation services for Lianhua Lind Gas Station: by constructing energy/water consumption prediction models, combining historical and real-time data to intelligently analyze energy utilization efficiency and water balance status, and generate evaluation reports; Using AI algorithms to identify safety hazards in process equipment (such as leaks and mechanical failures), predict occupational health hazards such as noise and dust, and output risk levels and prevention and control recommendations; Automatically generate energy-saving and water-saving technology solutions (such as waste heat recovery, circulating water optimization), simulate fire layout, emergency evacuation and other safety protection measures, and improve the scientificity, accuracy and implementation efficiency of evaluation.
AI+Planning and Design Stage
During the planning and design phase of construction projects, AI intelligence can be used to conduct intelligent site selection analysis for the United Lind gas station, optimizing the site by combining surrounding environment, transportation, and other data; Process layout simulation(optimizing equipment spacing and pipeline routing through algorithms); Energy consumption pre assessment (constructing a model to predict the full lifecycle energy consumption of gas stations); Safety protection design (simulating risk scenarios, optimizing the layout of fire protection, explosion prevention and other facilities), enhancing the scientificity and compliance of the design.
AI+construction supervision stage
In the construction supervision stage, AI helps to achieve efficient control in multiple aspects. Through image recognition technology, real-time monitoring of whether workers operate in a standardized manner and whether materials are used in compliance, such as detecting steel bar binding issues and identifying behavior of not wearing safety helmets. By using sensors to collect temperature, humidity, and equipment operation data,predict risks, issue warnings immediately in case of abnormal data, and automatically generate supervision logs and reports.
AI+cost estimation stage
In cost work, AI models achieve process optimization and precise control. By importing CAD drawings and other materials, AI can automatically identify components and accurately calculate engineering quantities, such as calculating wall area and pipeline length. At the same time, based on massive historical project data, quickly provide reasonable cost estimates. It can also intelligently analyze contracts, extract key terms, identify risks, and dynamically monitor costs based on real-time data.
BRSE has made a breakthrough by adopting an AI intelligent consulting service system, relying on cutting-edge technology to accurately grasp the personalized needs of the Lianhua Lind gas station project, dynamically integrating diverse resources, and customizing exclusive solutions for the entire process. During the project implementation process, with a keen problem capture mechanism and deep analysis ability, we quickly respond to customer complaints and efficiently solve pain points. This innovative model has achieved significant results and has won widespread praise and high recognition from homeowners.
