OT-IES Smart energy system

Adopt the new generation of system architecture and technology, the air conditioning system all equipment for centralized management and optimization control. Support wind and water linkage control architecture, can be the end system control and cold source control seamless integration, cold source and end system control is no longer separated, wind and water system operation coordination and unity, average energy consumption costs compared to manual or conventional group control method of more than 15%;
The intelligent control system can realize scientific load prediction. According to the weather, season and time period, it can retrieve the historical data under similar modes from its historical database and forecast the hourly load within 24 hours by combining with the weather forecast data. By tracking and testing the performance of the equipment, the performance changes of the main equipment can be tracked in real time. According to the performance differences of the equipment and the dynamic load requirements of the system, the work plan of each equipment can be arranged reasonably to achieve the optimization of the operation efficiency of the whole system.
The self-developed online dynamic planning engine built into the intelligent control system takes the operation planning of all the equipment of the air conditioning system into consideration. The multi-dimensional dynamic planning engine adopts improved and optimized algorithm to generate multiple alternative operation schemes according to the equipment connection relationship and operation constraints. The calculation results of the embedded simulation system are iteratively updated. Compared with the current set of solutions, the cycle until the best solution is obtained, greatly improving the scope of optimization and system-wide energy efficiency.

Intelligent control system has been successfully applied in commercial complexes, office buildings, office buildings and public buildings in China. It is reflected in the energy-saving technology:
Scientific - it uses the adaptive way in the computer to automatically establish the simulation model of the current air conditioning system, relies on the model to solve the problem of minimizing the energy consumption of the system, and runs the air conditioning system according to the optimal scheme. In load estimation, equipment performance detection and operation optimization completely get rid of the imprecision and limitations of artificial energy-saving strategy.
Comprehensiveness - The energy saving scope covers the parameter setting of various equipment, equipment operation combination, and equipment start-stop time arrangement, fully explore every small energy saving space of the air conditioning system. A set of system can realize control, optimization and energy-saving audit three major functions, maximize to meet the needs of users, while greatly reducing the implementation risk and cost.
Ease of use - AI technology automatically generates a high quality user interface that is easy for users to use. Can prevent users from dangerous operations, and can automatically deal with most of the central air-conditioning system failures. In the future, when the central air conditioning equipment increases or decreases or changes, only a small amount of modification is needed, without rewriting the control logic or redrawing the user interface, the system can automatically complete the adjustment to optimize the control of the modified central air conditioning.
Economy - Supports flexible system configuration (such as frequency converter, number of frequency converter, installation mode of main engine and water pump, type of main engine, type of cooling tower, etc.), does not require special hardware equipment, maximize the use of existing equipment conditions, reduce and protect user investment. Openness - Supports mainstream brand controllers and communication protocols, providing more choices in equipment procurement, installation, integration, routine maintenance, use, and management. Engineers with short-term training can configure and adjust the software system independently.
Security - Compared with conventional teamwork systems, the system does not rely on solidified teamwork logic, and the system always dynamically generates the control logic according to the latest status of the field equipment. No matter part of the equipment failure or manual automatic state changes, the control system can automatically adapt to, and can prevent wrong manual operation. In addition, the system provides strict permission protection and log management functions for users and operations.