HouLin Intelligent Engineering Co., Ltd

Green buildings prioritize energy conservation, with intelligent building energy management being a key aspect. Hou Lin's digital comprehensive energy management platform is based on sensing control and execution equipment, forming an automated closed-loop control. From the perspective of energy-saving operation, it empowers decision-making and operation through big data and intelligent algorithms, achieving flexible control of high energy consumption systems and helping new green buildings and energy-saving renovations.

The carbon dashboard collects real-time energy consumption and key indicators, such as energy consumption and carbon emissions indicators, alarm indicators, etc., for statistical analysis, and fully visualizes and flexibly displays the sustainable management elements of green and smart buildings as needed. Hou Lin's digital comprehensive energy management platform breaks through the pain points of data island management, providing comprehensive analysis for public building management with a full range of solutions, software and hardware products, control technology, and application strength. Display the flow direction and volume of various types of energy through energy flow charts, intelligently decompose energy consumption, segment and track data step by step, and combine with thermal map functions to easily discover high energy consuming nodes, identify various equipment operating abnormalities, and reduce the risk of electrophoresis shutdown or more failures.

Hou Lin's digital comprehensive energy management platform combines self-control system control strategies, such as temperature, humidity, wind pressure regulation, wind speed control, and group control of cold and heat sources. It applies data analysis and optimization algorithms to achieve on-demand control of building electricity consumption, supporting slip calculation and maximum batch power generation. According to the demand control plan, the equipment is subjected to load reduction, and a periodic response curve is visually presented. By rationalizing the configuration threshold and grouping it into priority groups, the load is gradually reduced to achieve peak shaving and valley filling, providing flexible control capabilities from the power demand side and helping maintain supply-demand balance. Provide an intuitive equipment impedance model library, including HVAC, air conditioning, washing water, lighting and other systems, and quickly build feature rich interactive configurations. Use the built-in low code programming engine to quickly build optimized control strategies and control alarms