"ZETA+AI" IoT monitoring solution helps office buildings achieve predictive maintenance

In recent years, with the rise of Internet of Things technology, AI artificial intelligence, big data, and cloud computing, new development vitality has been added to building intelligence. In the past, building management relied too much on manual post-maintenance, which was a "passive" preventive maintenance with low efficiency and high operating costs.

How to improve the intelligent level of building management and realize the transformation from passive prevention to active management? "Building predictive maintenance" is the best answer.

In order to comply with the trend of intelligent development, Zongxing Technology, the industry's leading full-stack IoT technology provider, provides industry partners with a "building predictive maintenance solution" based on ZETA technology, combined with AI intelligent algorithms and supporting IoT equipment. Towers C and D of the World Expo Office Building of State Grid Shanghai Intelligent Company have introduced this solution to monitor and analyze the status of the building to identify early warning signals of equipment failure and help managers achieve proactive predictive maintenance, thereby reducing long-term operations costs and improve management efficiency.

Background of the project:

Towers C and D of State Grid Shanghai Intelligent Company Expo Office Building are two office buildings owned by State Grid Shanghai Intelligent Company. As a high-end business building, the World Expo Office Building is home to many well-known companies. It has extremely high requirements for building quality, equipment operation and user experience in the building. Therefore, many emerging building management technologies will be used first in these two buildings. Predictive maintenance has been applied and verified in the "Industry 4.0 era". After many rounds of communication with the managers of the Expo Operation Center of State Grid Shanghai Intelligent Company and in-depth on-site surveys, the technical staff confirmed that the ZETA building predictive maintenance solution can also be applied to the building management system of the Expo office building.

Traditional building management requires a large number of personnel to conduct on-site equipment inspection and maintenance; it also needs to face various emergencies such as unexpected shutdowns and equipment abnormalities. There are problems such as high dependence on manpower, untimely inspections, errors in manual experience, and missed detections. Problems are mostly dealt with "afterwards". While affecting user experience, it can also cause serious economic losses and safety accidents.

When does a problem occur?
Can problems be prevented?
How to make adequate preparations in advance?

These are issues that every user and manager are concerned about. Based on the exploration of the above issues, State Grid Shanghai Intelligent Company introduced the **"ZETA Building Predictive Maintenance Solution"**.

Key points of transformation and program advantages:

Key points of transformation)

The renovation focus of this project is mainly on the heat exchange system and ventilation system in the air conditioning system:

·Heat exchange system: The heat exchange system provides cold/heat source for the building's air-conditioning system, which is prone to problems such as insufficient water supply pressure, insufficient water supply to the corresponding floors, insufficient heat exchange, and failure to reach the set temperature.
·Ventilation system: The ventilation system sends the cold/hot air on each floor to the corresponding air-conditioning outlet of the tenants through the fan. There are situations of no wind and abnormal fan, which cannot be known and predicted in time.
The above two points will affect the air conditioning effect and destroy the user experience. There is a great need for intelligent predictive maintenance solutions.

Advantages of ZETA scheme)

·01 Strong penetrability, no network blind spots: ZETA communication technology has strong penetrability, ZETA wireless network is deployed in the building, and a small number of gateways can cover the whole building to avoid network blind spots.

02 Wireless solution, convenient construction: Compared with the wired IoT solution, the ZETA solution adopts wireless deployment, no need for threading and punching, silent operation, and will not interfere with users' work. Plug and play, short construction time, and can reduce construction costs by more than 50% for customers.

03 Remote monitoring and intelligent alarm: The intelligent terminal collects the operation data of key points, which can remotely realize 7*24H real-time monitoring of the equipment status of the building. The digital patrol inspection can find problems at the first time and send out alarm information to ensure the safety of the building.

04 Full life cycle management: The platform has a big data visualization board, which can effectively present the operation status of facilities and equipment, alarm analysis, energy consumption analysis, and historical data traceability, etc., to help managers realize the full life cycle management of equipment.

Program functions and effects:

The ZETA building predictive maintenance solution of Zongxing Technology provides a complete set of equipment data analysis platform for the management side, supporting data overview, status monitoring, point view, abnormal analysis, etc., multi-device integration and unified background management, realizing online data visualization.

Terminal sensor application)

ZETA's intelligent vibration temperature sensor can effectively monitor the operating status of the air conditioner motor. When the air conditioner motor experiences abnormal vibration and temperature trends, the vibration temperature sensor uses its built-in AI intelligent algorithm to independently monitor and analyze the data it collects, and then predicts the result through spectrum analysis, feature calculation, trend analysis and fault identification. If the motor is about to fail, the platform will issue an alarm to remind staff to perform maintenance operations on the equipment.
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This vibration and temperature sensor is different from the traditional sensor terminal. It sinks the algorithm to the terminal side. It does not require cumbersome and expensive platform fees and professional algorithm analysts. It directly feeds back the results to the user, which is convenient for follow-up management.
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The monitoring of vibration and temperature data can be customized according to the actual situation, which increases the frequency of inspections while reducing manpower. It really allows managers to know when a problem occurs and what is the cause, and can formulate a response plan before the fault worsens to avoid unexpected downtime and realize proactive predictive maintenance.
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Air conditioning system monitoring)

By monitoring the temperature and pressure data of the pipeline in real time and comparing them with the design parameters, the management side can clearly grasp the status of the entire air-conditioning water supply system. From the cold water supply temperature of the air conditioner to the hot water return temperature, and then to the water supply pressure monitoring, the system abnormality is fed back in time through data to ensure the cooling/heat exchange efficiency. Devices connected to the Internet of Things discover and solve problems based on data, switching from prevention and repair to predictive maintenance based on actual operating conditions.
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Energy consumption system optimization)

In addition to the predictive maintenance and renovation of the air conditioning system, the building's previous water and electricity meter readings relied on manual labor. Currently, the property management company reads the electricity meter once a month, and it takes several days to complete the data recording for the two buildings. In addition, there are many floors and the structure of tenants is complex. Many floors are rented by tenants as a whole, and entry and exit need to be reported, which consumes a lot of manpower and material resources, and the level of digital intelligence is extremely low.

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In practical applications, there are many abnormal power consumption situations, which can only be discovered when reading meters. Zongxing Technology's ZETA solution relies on terminal collectors and ZETA wireless network to achieve remote unmanned meter reading without changing meters. While reducing manpower input, it can also obtain the energy consumption of the entire building in real time. Through the analysis of energy consumption data, the energy consumption of the building can be monitored 7*24H, providing decision-making data reference for managers. It not only improves the energy utilization rate of the building, but also reduces management costs, saves energy and reduces emissions, reduces costs and increases efficiency, and helps owners realize green and low-carbon operation of buildings.

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compatible extensions to the system)

Building management is a systematic project. The ZETA building predictive maintenance solution takes into account the compatibility and scalability of the system network, reserves equipment capacity during network design, and provides a common interface. In the future, owners can add other sensors for more comprehensive system monitoring based on actual needs, which is also very convenient during system integration.

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After the implementation of the ZETA building predictive maintenance program, the facilities and equipment of the World Expo office buildings C and D of the State Grid Shanghai Smart Company have 24-hour all-weather monitoring, fault warning, maintenance reminder, AI algorithm control and other functions, realizing the advanced and predictable building management risk. control and predictive maintenance. It not only reduces business operating costs, but also greatly improves property management efficiency, effectively helping owners improve their market competitiveness in business.

Today, the process of smart cities continues to accelerate, and more and more buildings are moving towards digital intelligence and low carbonization. Building predictive maintenance will also become a new trend in building management. In the future, Zongxing Technology will focus on customer needs and continue to delve into application scenarios based on ZETA innovative technology to help more customers improve the digital intelligence level of building management.

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Origin blog.csdn.net/weixin_52191082/article/details/128931152