Project Overview

案例概述

In October 2023, Time-chains Technology conducted a comprehensive energy and carbon retrofit of the Vanke Cloud City building. The retrofit focused on deploying IoT hardware, building a software platform, and applying AI algorithms to the building’s energy system.

Main Project Content:The project concentrated on the central air-conditioning cooling system. An IoT data acquisition system was deployed, with temperature, pressure, flow, and energy consumption sensors installed on key components and pipeline valves to collect multi-dimensional data in real time and transmit it to a data center. The data was integrated and analyzed to develop an AI control model that dynamically adjusts cooling power and operating modes according to changes in occupancy and ambient temperature. AI algorithms were used to balance cooling supply and demand, adjusting equipment operating parameters for precise matching and sustained high-efficiency operation.

Brief Project Outcomes:After implementation, the project achieved a verified energy-saving rate of 17.13%. The system energy efficiency ratio (EER-sys) increased from ≤3 before the retrofit to 3.6–4.2, significantly surpassing the qualified benchmark of 3.1 required by the Public Building Energy Conservation Testing Standard. Through AIoT-enabled intelligent energy-saving operation, cooling power and operating modes were optimized under varying environmental conditions, improving overall system efficiency while reducing both energy consumption and operation and maintenance costs, achieving both technical optimization and economic benefits.

2023 年 10 月，时链科技对万科云城大楼进行能碳综合改造。改造主要针对楼宇的能源系统进行物联网硬件部署、搭建软件平台、使用 AI 算法。

项目主要内容：聚焦楼宇中央空调制冷系统，部署物联网数据采集系统，在核心部件及管道阀门安装温压流量能耗传感器，实时采集多维度数据并传输至数据中心；整合分析数据构建 AI 控制模型，动态调节制冷功率及模式以适应人员分布、环境温度等变化；通过 AI 算法动态平衡冷量供需，调整设备运行参数实现精准匹配，确保系统持续高效节能。

项目成果简述：项目实施后，实测节能率达 17.13%。冷源系统能效系数（EER-sys）由改造前≤3 提升至 3.6~4.2，显著优于《公共建筑节能检测标准》要求的合格指标 3.1。系统通过 AIoT 技术实现智慧节能运行，动态环境温度等变量，优化制冷功率及运行模式，提升整体运行效率，同步降低能源消耗与运维成本，达到技术优化与经济性双目标。

Company/Organization Profile

机构简介

Time-chains Technology is a leading provider of zero-carbon digital urban solutions. Guided by the mission of “bringing civilization to ecology and intelligence to all things,” the company centers on artificial intelligence, the Internet of Things, and blockchain application technologies. With a closed-loop technical framework integrating software, hardware, and algorithms, Time-chains offers one-stop comprehensive energy and carbon services, including integrated energy services, energy hosting and operations, AIoT intelligent energy-saving control, power demand-side response, intelligent distribution operation and maintenance, and carbon management. The company is committed to driving zero-carbon and digital transformation in cities through technological innovation.

时链科技是领先的零碳数智化城市服务商，以 “给生态以文明，给万物以智能” 为使命，以人工智能 + 物联网 + 区块链应用技术为核心，依托 “软件 - 硬件 - 算法” 三位一体的技术闭环体系，提供综合能源服务、能源托管运维、AIoT 智控节能、电力需求侧响应、配电智能运维到碳管理的一站式能碳综合服务，致力于以创新科技驱动城市零碳数智化变革。

Project Outcome

项目成果

The project achieved a verified energy-saving rate of 17.13%, effectively reducing energy consumption while maintaining the building’s cooling performance.

The energy efficiency ratio of the cold source system (EER-sys) increased significantly from no more than 3 before the retrofit to 3.6–4.2, well above the qualified benchmark value of 3.1 specified in the Public Building Energy Conservation Testing Standard.

The air-conditioning system now operates under intelligent energy-saving control, improving operational efficiency, enabling faster and more stable cooling response, reducing energy expenses and equipment wear, and lowering operation and maintenance costs — supporting greener and more economical building operations.

1、经过实际测试，该项目实现的节能率达到 17.13%，在保障楼宇空调制冷效果的前提下，有效减少了能源的消耗。2、冷源系统能效系数（EER-sys）得到显著提升，从改造前的不大于 3，提高至 3.6-4.2，远高于《公共建筑节能检测标准》中规定的合格指标要求的 3.1，充分体现了系统能效的大幅优化。3、成功实现空调系统的智慧节能运行，不仅大幅提升了系统的运行效率，让空调制冷响应更迅速、运行更稳定，而且显著降低了能源费用支出，同时减少了因系统低效运行带来的设备损耗，降低了运维成本，为楼宇的绿色、经济运行提供了有力支持。

Project Highlights

项目亮点

The project aimed to enhance the digitalization, intelligence, and operational convenience of the refrigeration system while ensuring operational safety and reducing system operation and management costs. Existing system resources were utilized during implementation. The construction period was short and did not affect the normal operation of the system, and the non-intrusive installation process avoided any damage to equipment while maintaining stable system performance.

项目目标：在保证系统运行安全的前提下，提升制冷系统的数字化、智能化和便利化的同时，实现制冷系统的管理智能升级并同时降低系统运行及管理成本。项目在实施过程中使用既有资源，在保证整体制冷系统稳定运行的前提下，施工周期较短、施工期间不影响系统的正常使用、非侵入式安装不会对系统设备进行任何破坏。

Project Implementation

项目实施

Pain Points Before Implementation

Before the project implementation, the refrigeration system had a low level of digitalization and relied heavily on manual operation. Limited professional operation and maintenance capacity led to energy waste. Pumps were not equipped with frequency converters and lacked intelligent control. Manual data recording was inefficient, the absence of an alarm system posed safety risks, and the chilled-water storage system was not utilized for energy saving.

Solution and Results

Strengthening System Safety and Equipment Management:The original control system was retained and operated in parallel with the new intelligent control system, with a one-click switching function for enhanced redundancy. An alarm mechanism was established to issue voice and app notifications for equipment faults and abnormal parameters. Equipment runtime and efficiency were automatically recorded to support intelligent start-stop control and maintenance suggestions, ensuring safe system operation and extending equipment life.

Comprehensive Digital Upgrade:Communication modules, frequency converters, sensors, and controllers were added to chillers, chilled-water pumps, cooling-water pumps, pipeline systems, indoor zones, and valves. This enabled real-time monitoring of equipment operating status, remote parameter adjustment, and associated intelligent control, providing the data and control foundation required for system-wide intelligent operation.

Intelligent Operation and Management Optimization:A big-data analysis platform was deployed to support AI-based load prediction, parameter optimization, efficiency optimization, automatic equipment rotation, and equipment protection. A unified management platform was built to support web and mobile access, with an intelligent operation center simplifying control workflows. Automatic meter reading and intelligent visualization functions were implemented. The chilled-water storage system was re-integrated to realize its energy-saving potential, reducing both energy costs and operation and maintenance expenses.

Implementation Path

System Safety and Equipment Management

Deploy the new intelligent control system in parallel with the original system and complete the debugging of the one-click switching function.

Install monitoring sensors and configure the alarm system, including voice and app alarm functions.

Develop equipment operation data recording and analysis modules to support intelligent start-stop control and maintenance recommendation generation.

Digital Upgrade

Install and commission communication modules for the chiller to enable status monitoring and remote parameter setting.

Add frequency converters to chilled-water and cooling-water pumps, and complete monitoring and remote parameter adjustment configuration.

Install temperature and pressure sensors on pipelines, temperature and humidity sensors indoors, and controllers on valves to enable status monitoring and corresponding control.

Intelligent Operation and Management Optimization

Build the big-data analysis platform and embed AI algorithms such as load forecasting and parameter optimization, followed by debugging.

Develop the unified management platform and intelligent control center to support one-click equipment operation, implement automatic meter reading and intelligent visualization, and integrate chilled-water storage energy-saving strategies into operation.

实施前问题痛点

项目实施前，制冷系统存在数字化程度低、人工依赖重，运维人员专业不足致能源浪费，泵类无变频器、调节不智能，数据手动抄录效率低，缺乏报警功能有安全隐患，水蓄冷系统弃用未节能等问题。

解决方案及达成结果

1、强化系统安全与设备管理：保留原有系统并与新智控系统并行，配备一键切换功能提升安全冗余；设置报警机制，对设备故障和参数异常进行语音与 APP 报警；自动记录设备运行时长与效率，智能启停设备并生成维保建议，保障系统安全运行，延长设备使用寿命。2、推进数字化全面升级：对制冷主机、冷冻泵、冷却泵、管路系统、室内、阀门等各环节，分别通过通讯、加变频器、配置传感器与控制器等方式，实现各设备运行状态实时监测、参数远程设定及相关智能调控，为系统智能运行提供数据与控制基础。3、实现智能化与管理优化：配置大数据分析平台，借助 AI 算法实现负荷预测、参数优化、效率寻优、自动轮巡、设备保护；打造一网统管平台，支持网页端和移动端操作，配置智能中心简化操作，实现自动抄表与智能展示，提升系统智能化水平与管理效率，充分挖掘水蓄冷节能潜力，降低能源费用与运维成本。

方案实施路径

系统安全与设备管理维度

1、部署新智控系统与原有系统并行，完成一键切换功能开发与调试。2、安装各类监测传感器，搭建报警系统，完成语音与 APP 报警功能配置。3、开发设备运行数据记录与分析模块，实现设备智能启停及维保建议生成功能。

数字化升级维度

1、完成制冷主机通讯模块安装与调试，实现主机运行状态监测与参数远程设定。2、为冷冻泵和冷却泵加装变频器，完成变频器监测与参数远程设定功能开发。3、在管路系统配置温度、压力传感器，在室内配置温湿度传感器，为阀门配置控制器，实现各部分状态监测与相关控制功能。

智能化与管理优化维度

1、搭建大数据分析平台，嵌入负荷预测、参数优化等 AI 算法并完成调试。2、开发一网统管平台及智能中心，实现设备一键操作功能，完成自动抄表与智能展示模块开发，整合水蓄冷系统节能策略并投入使用。

Project Impact & Sustainability

项目影响力、可推广性与可持续性

Technological Innovation:This project adopts a wireless automatic control system built on IoT intelligent terminals and edge intelligent control devices. Through an integrated “software + hardware + algorithm” architecture, it enables monitoring, analysis, and control optimization of air-conditioning and power distribution systems. The solution improves energy efficiency, supports intelligent operation and maintenance, and helps building owners save energy, reduce carbon emissions, lower costs, and enhance operational performance.

Mechanism Innovation:The project adopts an Energy Conservation Benefit Sharing – Contract Energy Management model. All equipment and related expenses during the retrofit are funded by the energy service company, requiring no capital investment from the building owner. After project completion, during the contract period, the owner shares the verified energy-saving benefits with the energy service company according to the agreed duration and sharing ratio.

Impact on the Building Sector:The project enhances building energy performance through innovative energy management, achieving over 15% improvement in operational efficiency after optimization. It promotes intelligent building upgrades and reduces operation and maintenance costs across the building sector.

技术创新：本项目以无线自控系统是基于物联网智能终端及边缘智控设备构建的智能化控制系统，通过 “软件 + 硬件 + 算法” 一体化架构，对空调、配电等设备进行监测分析与控制优化，实现能效提升、智慧运维，助力业主节能降碳、降本增效。

机制创新：本项目商务合同采用《节能效益分享型 - 合同能源管理合同》，项目改造期间所有设备及其他相关费用均由节能服务公司投入，业主无需任何资金投入。改造完成后，合同履行期内，业主按照合同约定的分享年限及分享比例向节能服务公司分享由本项目产生的节能效益。

对建筑领域，可提升建筑节能效益，通过能源管理模式创新，监测分析与控制优节后能率实现 15% 以上，推动建筑智能化升级以及降低建筑的运维成本 。 

(Using AI translation)

（使用AI翻译）