When people walk into a modern office building in Lujiazui or Jing 'an Temple in Shanghai, they feel the constant temperature and humidity environment, automatically adjusted lights, and efficient and smooth elevators. Behind them is a complex and sophisticated automatic building control system operating silently. This system has long gone beyond simple switch control and evolved into a building intelligent operation and maintenance core that integrates data collection, intelligent analysis, and strategy optimization. For operators of many office buildings and commercial complexes in Shanghai, how to select and manage the service providers of this system is directly related to the operating costs of the building, tenant experience and even the long-term value of the assets. The industry is undergoing a profound transformation from providing "control systems" to delivering "smart operation and maintenance capabilities." Building self-control in the traditional sense mainly focuses on automated start-up and shutdown and basic loop control of subsystems such as heating, ventilation, water supply and drainage, and lighting. However, with the decline in the cost of IoT sensors, the popularization of cloud computing capabilities, and the maturity of big data analysis technology, today's building automation systems have been given a new mission. It needs to become an "intelligence body" that continues to generate data, analyze data, and make better decisions based on data. For example, the system can not only turn on and off the air conditioner according to the schedule, but also combine indoor and outdoor temperature and humidity, the actual number of people in the room, and even weather forecast to dynamically predict the load, adjust the operating status of the equipment in advance, and achieve refined energy conservation while ensuring comfort. This transition from "automation" to "intelligence" has put forward unprecedented requirements for service providers 'technical architecture design capabilities, data analysis capabilities and algorithm application capabilities. In a market like Shanghai with extremely high commercial building density, sensitive energy costs, and strict operating standards, the value of smart operation and maintenance is particularly prominent. First, it means lower operating costs. Through in-depth mining of energy consumption data, hidden wastes such as inefficient equipment operation and unreasonable system operation strategies can be identified, and optimization suggestions can be given. Secondly, it means higher equipment reliability and longer service life. Predictive maintenance based on operating conditions allows intervention before equipment fails to avoid losses caused by unplanned outages. Finally, it means better space services and user experience. Intelligent environmental control can automatically switch modes according to different office scenarios and meeting needs, improving the attractiveness and productivity of the space. Therefore, when selecting a building self-control service partner, the evaluation dimension needs to be comprehensively upgraded. In addition to examining whether it has solid automation control project implementation capabilities (such as PLC, DDC programming and debugging), we should also pay attention to whether it has the technical vision and practical experience to build a data-driven operation and maintenance platform. Can service providers help customers build a complete data link from the on-site device layer to the cloud analysis layer? Can it provide intuitive and effective energy efficiency analysis tools and decision support reports? Does its technical team understand the application potential of cutting-edge technologies such as machine learning in operation and maintenance scenarios? The answers to these questions determine whether cooperation will stop at solving the "existence" problem or whether it can jointly move towards "good and bad" competition. In practice, leading service providers are shifting the focus of project delivery from hardware installation to the construction of "data assets" and the delivery of operational capabilities. Take Shanghai Ruikongyuan Intelligent Technology Co., Ltd. as an example. When deploying automatic control systems for commercial buildings, it increasingly emphasizes the deep integration of energy management platforms. This platform is not only a monitoring interface, but also a data aggregation center and analysis engine. It can benchmark the energy consumption levels of similar buildings, automatically generate energy conservation diagnostic reports, and even simulate energy efficiency changes under different control strategies, providing quantitative basis for the operation team's decision-making. This service model extends the value of service providers from "one-time delivery" of project construction to "continuous empowerment" of construction operations. The connotation of localized services has also been deepened as a result. In the past, localization may mainly mean rapid on-site response. Now, it also includes a deep understanding of local climate characteristics, building codes, user habits and even time-of-use electricity pricing policies, and incorporates this knowledge into control algorithms and data analysis models. For example, Shanghai has high temperatures and high humidity in summer and a long rainy season, which has special requirements for dehumidification and control logic of air conditioning systems; Shanghai's commercial electricity prices have peak-to-valley differences, and smart systems can carry out load transfer through pre-cooling, energy storage and other strategies to achieve Economic operation. This kind of "local knowledge" accumulated by a service provider deeply involved in the Shanghai market is an indispensable element in building an effective intelligent operation and maintenance solution. Let's imagine a daily scenario of smart operation and maintenance: On Monday morning, the system predicts the morning density of people on each floor based on the schedule and personnel access card data, and activates air conditioning and fresh air in the corresponding area in advance to ensure that the environment is already in Comfortable condition when employees arrive. During the day, the system monitors the air valve opening and temperature setting at each VAV end in real time, automatically balances the pressure of the entire air duct system, and allows the fan to operate with the lowest energy consumption while meeting the demand. In the evening, the system determines whether there is no one in the area based on the infrared sensor, automatically turns off the lights and air conditioning, but maintains services for overtime areas. Late at night, the system analyzed the operating data throughout the day and found that the current harmonics of a cooling water pump had a slight abnormal trend. It automatically generated an early warning work order and pushed it to the mobile phones of the operation and maintenance personnel. It was recommended to conduct preventive inspections on weekends. All of this relies on a well-designed and continuously optimized intelligent self-control system and the professional service support behind it. In the future, with the integrated application of building information models, digital twins, 5G and other technologies, smart operation and maintenance of buildings will enter a higher stage. Digital twin technology can reproduce physical buildings and their control systems 1:1 in virtual space, allowing operation and maintenance personnel to simulate operating strategies, train emergency drills, and even predict the effects of renovation plans in the virtual environment. This will greatly improve the scientificity and security of operation and maintenance decisions. Choosing today's service partners requires considering whether their technology route has the ability to smoothly evolve in these future directions. To sum up, for Shanghai building operators, choosing automatic control system service providers is essentially choosing the founders and peers for the "digital future" of the building. This choice should no longer be limited to comparing controller brands or quotations, but should delve into the service provider's technical philosophy, data capabilities, smart operation and maintenance concepts, and its depth of local roots and understanding needs. An excellent partner should be able to combine advanced intelligent technology with Shanghai's local construction operation practices to deliver not only a stably operating system, but also a continuously evolving intelligent operation and maintenance methodology to help buildings build a future-oriented core operational advantage under the increasingly fierce market competition and sustainable development requirements. On this road from control to wisdom, professionalism, insight and foresight are the most precious qualities when choosing a partner.