Project Overview

案例概述

Timeline: Problem identification began in early 2023; nationwide promotion was launched after the pilot. It was packaged as a standardized product in August 2024 and is currently implemented in over 2500 projects.

Location: Residential projects under the management of Vanke Property.

Core Content: To address safety hazards and energy waste caused by inaccurate on/off timing of public lighting, the "Solar Clock" low-carbon service was developed. Leveraging authoritative astronomical data sources and building an intelligent algorithm that integrates local latitude and seasonal changes, it automatically generates lighting on/off schedules aligned with sunrise and sunset patterns. These schedules are pushed to frontline staff via a WeChat Work bot, replacing manual experience with "natural rhythms"—with zero additional hardware investment. Meanwhile, nationwide research, technological R&D, pilot verification, and optimized promotion are advanced in parallel, forming a full-process implementation closed loop.

Achievements: During the pilot phase, each project saved an average of 30 minutes of lighting electricity daily. After nationwide promotion, public lighting electricity consumption decreased by 10.62%, with an 86.15% user satisfaction rate. In August 2024, the service was launched as a standardized module on the "Cloud Maintenance" mini-program, covering thousands of residential projects. It effectively balances service quality with energy conservation and carbon reduction, providing a replicable model for low-carbon transformation in grassroots scenarios.

时间：2023 年初开展问题洞察，启动试点后全国推广，2024 年 8 月即封装为标准化产品，目前已经在 2500 + 个项目落地。

地点：万科物业所管辖的住宅项目

项目主要内容：针对公共照明开关时间不精准引发的安全隐患与能耗浪费问题，研发 “太阳钟” 低碳服务。依托权威天文数据源，结合各地纬度、季节变化构建智能算法，自动生成贴合日出日落规律的开关灯时间，通过企业微信机器人推送至一线员工，以 “自然节律” 替代人工经验，零新增硬件投入；同步推进全国调研、技术研发、试点验证与优化推广，形成全流程落地闭环。

项目成果简述：试点项目单项目日均节约照明用电 30 分钟，规模推广后公共照明用电量下降 10.62%，用户满意度达 86.15%；2024 年 8 月通过 “云维保” 小程序作为标准化模块全国上线，覆盖数千住宅项目，高效平衡服务品质与低碳降耗，为基层场景低碳转型提供可复制方案。

Company/Organization Profile

机构简介

Established in 1990, Vanke Property is a leader in China's property management industry. Vanke Property offers full-lifecycle services centered on preserving and increasing the value of property owners' real estate assets.

万科物业成立于 1990 年，作为中国物业管理行业的领跑者，万科物业围绕业主不动产保值增值提供全生命周期服务。

Project Outcome

项目成果

Ⅰ. Energy Savings: Public lighting electricity consumption decreased by 10.62%. The larger the public area of the community, the more significant the energy-saving potential and the more considerable the economic benefits from electricity savings. Taking the "Shenzhen Golden Field" project as an example, with a total managed property area of approximately 160,000 square meters, the average monthly electricity consumption was reduced by 554 kWh after using the Solar Clock service, effectively reducing property management costs.

Ⅱ. Emission Reduction: Based on the power carbon emission conversion standard (approx. 0.785 kg of CO2 per kWh), taking a project with 300 light fixtures in its public area as an example, an annual carbon emission reduction of about 2.1 metric tons can be achieved.

1、节能量：使用太阳钟数据服务后，项目实现公共照明用电量同比下降 10.62%。小区公共区域面积越大，节能潜力越显著，节电带来的经济效益也越可观。以 “深圳金色领域” 项目为例，接管物业总面积约 16 万平方米的情况下，使用太阳钟服务前后，月均用电量减少 554 度，有效降低了物业管理成本。

2、减排量：根据电力碳排放折算标准（每度电对应约 0.785 千克二氧化碳排放），以一个项目公共区域有 300 盏照明灯具为例，可实现每年减少碳排放约 2.1 吨。

Project Highlights

项目亮点

Adhering to the principle of "utilizing existing resources," this project requires zero hardware investment. It leverages WeCom messaging and authoritative astronomical data to drive energy conservation through natural rhythms via algorithmic optimization. The solution establishes a cross-regional, replicable, and scalable digital carbon reduction model, reflecting innovative practices in ecological synergy—by deeply integrating information technology, natural laws, and property management to achieve a win-win outcome in energy savings, efficiency gains, and user experience. The project was awarded the 2024 Shanghai Climate Week "Climate Lighthouse Navigator Award."

本项目完全秉持 “利用既有资源” 的原则，实现零硬件投入，依托企业微信消息推送与权威天文数据，通过算法驱动自然节律节能，打造了一套跨地域、可复制、可推广的数字化减碳解决方案，体现了在生态协同方面的创新实践 —— 将信息技术、自然规律与物业管理深度融合，实现节能、提效与用户体验的多赢，并荣获 2024 上海气候周 “气候灯塔领航奖”。

At the user level, the "Sun Clock" service, designed for maintenance supervisors across residential communities, has undergone effectiveness evaluation, achieving a user satisfaction rate of 86.15%. Among the users, 33.06% found the lighting switch-on/off time accurate and reasonable, 30.65% appreciated its timely reminders for adjusting lighting strategies, 20.16% reported a significant improvement in daily work efficiency, and another 16.13% praised its user-friendly operation and positive experience.

在用户层面，面向各小区项目维修主管推出的 “太阳钟” 服务已开展使用效果评估，用户满意度高达 86.15%。其中，33.06% 的用户认为开关灯时间精准合理，30.65% 肯定其能及时提醒调整照明策略，20.16% 反馈该服务显著提升了日常工作效率，另有 16.13% 的用户称赞其操作便捷、体验良好。

Project Implementation

项目实施

I. Implementation Plan and Key Process

Problem Identification, Cause Analysis and Requirement Confirmation (Early 2023)

Triggering Incident: Due to delayed lighting, an elderly resident at HuiDuYuan exposed to serious risk of a fall injury. The incident reveals a dual imbalance in safety and energy consumption on manually controlled lighting system.

Core Objective: To establish a dynamic lighting strategy without extra hardware investment and strong universality for 4000+ projects nationwide and address switch-time inaccuracies caused by variations in latitude, season, and terrain.

一、实施方案与关键过程

1. 问题溯源与需求确认（2023 年初）

触发事件：汇都苑项目的老年客户因照明延迟险摔伤，暴露人工控制照明时段存在安全与能耗双失衡问题。

核心目标：为全国 4000 + 项目建立零硬件投入、普适性强的动态照明策略，解决纬度、季节、地形差异导致的开关灯偏差。

Four-Phase Scientific Closed-Loop Processes

(1) Nationwide Survey & Technical R&D (March 2023)

National-Wide Survey - Three Baseline Data Validation:

Existing lighting control methods, Willingness of being Pilot project, Availability of electricity consumption data

Core Technology Development:

Data Source: Accessed public astronomical data

Algorithm Model: Incorporated seasonal variation factors, to automatically adjust and dynamically generate recommended on/off times.

Command Delivery: Utilized a WeCom (Enterprise WeChat) bot to push operational recommendations (text & graphics), achieving a 10-second "receive-execute" cycle.

科学闭环推进四阶段

(1) 全国摸排与技术研发（2023 年 3 月）

现状调研：覆盖全国项目，明确三大基线数据，包括：照明控制方式分布、试点意向度、用电数据可获取

核心技术攻坚：

数据源：获取公共天文数据

算法模型：嵌入季节变换因子，自动校正动态生成建议开关灯时间；

指令触达：通过企业微信机器人推送图文操作建议，实现 “收信 - 执行” 10 秒闭环。

(2) Rapid Iteration Pilot (April 2023)

Initial testing launched in 6 cities (spanning high/medium/low latitudes) & validating:

Data Accuracy (≤5 min error vs. actual dawn/dusk times)

Ease of Operation

Preliminary Energy Savings (26-34 minutes reduction in average daily lighting duration)

(2) 小步快跑试点（2023 年 4 月）

首批在 6 个城市（涵盖高 / 中 / 低纬度）启动测试，验证三方面：

数据精准性（与实际天亮 / 天黑时间误差≤5 分钟）；

操作便捷性；

节电初效（日均照明时长缩减 26-34 分钟）。

(3) Scaling Validation & Optimization (August 2023)

Iterative Problem-Solving: Refined the timing algorithm logic based on user feedback.

Expanded Coverage: Increased pilot cities to 57 and included communities with special terrain (e.g., mountainous, coastal).

Value Quantification: Achieved consistent energy savings (reduction of avg. 30 min/day) and an 86.15% user satisfaction rate.

(3) 规模化验证与优化（2023 年 8 月）

问题迭代：根据项目反馈，优化时段算法逻辑；

覆盖扩张：试点城市扩至 57 个，纳入山地、滨海等特殊地貌项目；

价值量化：节电效果稳定在日均 30 分钟，一线满意度达 86.15%。

(4) Productized & National-Wide Rollout (August 2024)

Packaged as a standard module and launched as a subscription service within the "Cloud Maintenance" (云维保) mini-program.

Provided operational guidelines and serviced communities national-wide on-demand.

(4) 产品化全国推广（2024 年 8 月）

封装为标准模块，于【云维保】小程序上线订阅服务；

配套操作指南，支持全国项目按需启用。

II. Challenges & Support

（1）Challenges

Technical Challenges: Balancing precision with universality; balancing energy savings with service quality.

Implementation Challenges: Resistance due to ingrained habits and risk of operational gaps, skepticism about the dynamic strategy and failure to follow instructions.

（2）Support

External Data & Ecosystem Partnerships: Access to astronomical data and the WeCom group bot API for push notifications.

Internal Collaboration: Feedback and suggestions from general staffs; co-development with pilot city communities.

二、挑战与支持

(1) 挑战

技术挑战：精准性和普适性平衡，节能和品质的平衡

落地挑战：认知固化阻力和操作断层风险，导致对动态策略存疑以及未按照指令执行。

(2) 支持

外部数据与生态合作：天文数据以及企业微信群机器人推送接口

内部协同合作：一线反馈和建议，试点城市项目共建

Project Impact & Sustainability

项目影响力、可推广性与可持续性

Ⅰ. Impact

Economic: Post-national implementation, public lighting energy use dropped 10.62%-equivalent to 2,700 kWh/year/community and 2.1 metric tons of carbon reduction.

Social: Eliminated lighting-related safety hazards (e.g., reducing fall risks for the elderly).

Industry: Recognized with the 2024 Shanghai Climate Week's "Climate Lighthouse Navigator Award".

1、影响力

经济：全国推广后公共照明用电量降 10.62%，单项目年节电约 2,700 度，减碳 2.1 吨。

社会：消除照明安全隐患（如老人摔伤风险）。

行业：获 2024 上海气候周 “气候灯塔领航奖”

Ⅱ. Scalability & Replicability

（1）Low-Cost Adaptation: Adapt to various industries by integrating existing communication platform APIs (e.g., WeCom) for push notifications and free data from the National Astronomical Observatories.

（2）Cross-Sector Potential

Municipal Lighting: Control for urban road, park, and square lights.

Agricultural Supplemental Lighting: Regulation of greenhouse supplemental grow lights.

Transportation Warning Systems: Intensity adjustment for tunnel and bridge entrance lighting.

Commercial Lighting: Management of office building exterior lighting and advertisement billboards.

Grid Dispatch: Integration with the State Grid's demand response system to dynamically reduce lighting duration during peak hours, participating in load balancing.

2、可推广性

(1) 低成本适配：

复用通讯平台信息推送接口 + 国家天文台免费数据，可低成本适配到所需行业。

(2) 跨领域潜力：

市政照明领域，用于城市道路、公园、广场路灯控制

农业补光领域，用于温室大棚补光灯开关调控

交通警示领域，用于隧道、桥梁入口照明警示系统的照明强度调节

商业亮化领域，用于写字楼外立面灯光、广告牌照明

电网调度领域，接入国家电网需求响应系统，用电高峰时段动态缩短照明时长，参与电力调峰。

Ⅲ. Sustainability

Features open APIs compatible with future IoT devices, such as linking with smart meters for coordinated control or utilizing weather data to replace soil moisture sensors.

3、可持续性

开放 API 兼容未来物联设备，如接入智能电表联动控制、气象数据替代土壤湿度传感。

 

 

(Using AI translation)

（使用AI翻译）