Project Overview

案例概述

Project time: October 2023

Project location: Nanshan District, Shenzhen

Main content of the project:

 1. Deploy the Internet of Things data acquisition system for the central air conditioning and refrigeration system of the building.

2. Build an intelligent control energy-saving system based on AIoT technology

3. Use AI algorithms to realize the global efficiency optimization of the dynamic balance machine of supply and demand

Brief description of project results:

1. The measured energy saving rate reaches 17.13%

2. The energy efficiency coefficient of the cold source system (EER-sys) has been increased from no more than 3 before the renovation to 3.6~4.2, which is much higher than the 3.1 required by the qualified index of the "Public Building Energy Conservation Testing Standard".

3. Realize the intelligent and energy-saving operation of the air conditioning system, greatly improve the operation efficiency of the system, and significantly reduce energy costs and operation and maintenance costs.

项目时间：2023年10月

项目地点：深圳市南山区

项目主要内容：

1、为楼宇中央空调制冷系统部署物联网数据采集系统。

2、搭建基于AIoT技术的智控节能系统

3、利用AI算法实现供需动态平衡机全局效率寻优

项目成果简述：

1、实测节能率达到17.13%

2、冷源系统能效系数（EER-sys）从改造前的不大于3提升至3.6~4.2，远高于《公共建筑节能检测标准》合格指标要求的3.1。

3、实现空调系统智慧节能运行，大幅提升系统运行效率，显著降低能源费用和运维成本。

Company/Organization Profile

机构简介

Time-chains Technology is a leading provider of zero-carbon digital and intelligent city services. With AIoT+ blockchain technology at its core and relying on the "software - hardware - algorithm" technology closed-loop system, it offers one-stop comprehensive energy and carbon services, including energy management and operation and maintenance, AIoT intelligent control and energy conservation, power demand-side response, intelligent operation and maintenance of distribution, and carbon management.

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

Emission reduction: 121 tons/year

Energy saving: 270,000 kWh per year saved

Energy Saving Rate: 17.13%

减排量：121吨/年

节能量：每年节省27万kWh/年

节能率：17.13%

Project Highlights

项目亮点

Project goal: Under the premise of ensuring the safety of system operation, improve the digitalization, intelligence and convenience of the refrigeration system, realize the intelligent upgrade of the management of the refrigeration system, and reduce thesystem operation and management costs at the same time. The project uses existing resources during the implementation process, and under the premise of ensuring the stable operation of the overall refrigeration system, the construction period is short, the normal use of the system will not be affected during the construction period, and the non-intrusive installation will not cause any damage to the system equipment.

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

1. System security

(1) The original system will continue to be retained and improve safety redundancy: In order to improve the redundancy of system safety, the newly established intelligent control system will exist in parallel with the original control system and be equipped with a one-key switching function to cope with uncertain factors.

(2) Alarm configuration to ensure operational safety: real-time monitoring of system operation status, reading equipment failure status, voice and APP alarms for equipment failures and abnormal system parameters, ensuring that relevant responsible persons can be notified to ensure the safe operation of the system.

(3) Balance the operating time of the equipment and extend the service life of the equipment. The system automatically records the running time of the equipment, calculates the operating efficiency of the equipment, and automatically selects the start and stop of the equipment and generates maintenance suggestions during the operation process.

一、系统安全

1、原有系统继续保留，提高安全冗余度：为了提高系统安全的冗余度，新建立的智控系统，将于原有控制系统并行存在，并配备一键切换功能，以应对不确定因素。

2、报警配置，保证运行安全：实时监测系统运行状态，读取设备故障状态，对设备故障和系统参数异常，进行语音和APP报警，确保能够通知到相关责任人，确保系统安全运行。

3、均衡设备运行时长，延长设备使用寿命；系统回自动记录设备的运行时长，计算设备运行效率，运行过程中，会结合效率和时长，自动选择设备的启停，并生成维保建议。

2. Digital upgrading

(1) Communicate with the refrigeration host to realize real-time monitoring of the operating status of the host and remote setting of the operating parameters of the host;

(2) Add frequency converters to the refrigeration pump and cooling pump, and optimize the use of frequency converters to realize real-time monitoring and remote setting of operating parameters of frequency converters.

(3) Configure the temperature and pressure for the pipeline system, realize real-time monitoring and fault diagnosis of the operating status of the pipeline system, and provide a reference basis for the parameter setting and start-stop control of the controlled equipment;

(4) Configure temperature and humidity sensors for indoor demand to monitor indoor demand in real time, obtain indoor demand, and realize on-demand cooling supply;

(5) Configure a controller for the valve to realize real-time monitoring of valve status and dynamic adjustment of valve opening

二、数字化升级

1、对制冷主机进行通讯，实现主机运行状态的实时监测和主机运行参数的远程设定；

2、为冷冻泵和冷却泵添加变频器，并优化变频器使用，实现对变频器的运行状态实时监测运行参数进行远程设定；

3、为管路系统配置温度和压力，实现管路系统运行状态的实时监测和故障诊断，同时为受控设备的参数设定和启停控制提供参考依据；

4、为室内配置温湿度传感器，对室内需求进行实时监测，获取室内需求，实现冷量按需供给；

5、为阀门配置控制器，实现对阀门状态的实时监测和阀门开度的动态调节

3. Intelligent upgrading Configure a big data analysis platform, relying on artificial intelligence, deep learning, expert rules and other algorithms to achieve:

(1) Load prediction: adjust the operating parameters of the equipment in advance to reduce the impact of extreme weather on indoor comfort;

(2) Parameter optimization: dynamically adjust the pump running frequency and number of openings according to the terminal demand, the set temperature and number of openings of the main machine, and optimize the matching strategy between flow rate and temperature difference;

(3) Efficiency optimization: based on system efficiency, adjust the number of cooling towers and cooling pumps, and optimize the frequency of water pumps;

(4) Automatic rotation patrol: according to the operating time and efficiency of the equipment, realize automatic rotation of equipment and equipment optimization, and reduce the risk of equipment failure;

(5) Equipment protection: according to different seasons and usage modes, configure different operating modes to prevent the host from surge;

三、智能化升级

配置大数据分析平台，依托人工智能、深度学习和专家规则等算法，实现：

1、负荷预测：提前调整设备运行参数，减少极端天气对室内舒适性的冲击；

2、参数优化：根据末端需求动态调整水泵运行频率和开启台数，主机的设定温度与开启台数，优化流量与温差的匹配策略；

3、效率寻优：基于系统效率，调整冷却塔和冷却泵开台数，优化水泵频率；

4、自动轮巡：根据设备运行时长和效率，实现设备自动轮巡和设备寻优，减少设备故障风险；

5、设备保护：根据不同季节和使用模式，配置不同运行模式，防止主机喘振；

4. Management optimization and upgrading

(1) One network unified management, convenient inspection: different computer room equipment is centralized on a unified platform, and web and mobile APP are configured to achieve real-time monitoring and remote control, reducing the workload of workers and increasing the frequency of system inspections;

(2) Quick entry and simple operation: configure the intelligent center to realize one-click start-stop, one-click switching, intelligent control and other operations of the equipment, reduce learning costs and operation difficulties, and reduce the dependence on professionals;

(3) Automatic meter reading and intelligent display: realize automatic remote meter reading, real-time monitoring of energy data and automatic generation of reports, and reduce the workload of manual meter reading and recording.

四、管理优化升级

1、一网统管，便捷巡检：不同机房设备集中到统一平台，配置网页端和移动端APP，实现实时监测和远程控制，减少工人工作量的同时也增加了系统的巡检频次；

2、入门快速，操作简单：配置智能中心，实现设备的一键启停、一键切换、智能控制等操作，降低学习成本和操作难度，同时减少对专业人员的依赖；

3、自动抄表，智能展示：实现自动远程抄表，用能数据的实时监测和报表的自动生成，减少手动抄表记录的工作量。

Project situation before implementation:

(1) The refrigeration system has not achieved true digitization, and data monitoring can be realized, but a large number of data point data is abnormal, and the start-stop, wheel patrol and parameter setting of the equipment require manual operation and handwritten records by on-site personnel, and the system operation and inspection occupy a large labor cost, which is not conducive to improving human efficiency;

(2) The professional knowledge of on-site operation and maintenance personnel is relatively lacking, and it is impossible to comprehensively study and judge according to weather conditions, system parameters and terminal requirements, and finely adjust the operating parameters and equipment of the system to optimize, which is a certain energy waste;

(3) The cooling pump and refrigeration pump are not equipped with frequency converters, and the pump speed cannot be automatically adjusted according to the terminal demand, which is a certain energy waste;

(4) The operation data is manually copied, and the operation report cannot be automatically generated, which increases the workload of on-site personnel

(5) The system abnormality and equipment failure alarm function is not configured, and the operation and maintenance personnel cannot be notified through voice and APP, which has certain safety hazards.

(6) The refrigeration system is equipped with a water storage system, which has been abandoned and has not fully tapped the cost-saving potential of the cold storage system.

实施前的项目情况：

1、制冷系统未实现真正的数字化，可以实现数据监测，但是大量的数据点位数据异常，设备的启停、轮巡和参数设定，需要现场人员手动操作和手抄记录，系统运行和巡检占用较大人力成本，不利于提高人效；

2、现场运维人员专业知识相对缺乏，无法根据天气条件、系统参数和末端需求综合研判，精细化调整系统的运行的参数和设备寻优，存在一定的能源浪费；

3、冷却泵和冷冻泵未配备变频器，无法根据末端需求自动调节水泵转速，存在一定能源浪费；

4、运行数据采用手动抄录，无法自动生成运行报表，增加现场人员工作量

5、未配置系统异常和设备故障报警功能，无法通过语音和APP通知到运维人员，存在一定安全隐患；

6、该制冷系统配备了水蓄冷系统，一直弃用，未充分挖掘蓄冷系统的节费潜力。

Project Impact & Sustainability

项目影响力、可推广性与可持续性

Technological innovation: This project uses a wireless automatic control system based on the Internet of Things intelligent terminal and edge intelligent control equipment to build an intelligent control system, through the integrated architecture of "software + hardware + algorithm", the monitoring, analysis and control optimization of air conditioning, power distribution and other equipment, to achieve energy efficiency improvement, intelligent operation and maintenance, and help owners save energy and reduce carbon, reduce costs and increase efficiency.

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。

Mechanism innovation: The business contract of this project adopts the "Energy Conservation Benefit Sharing - Contract Energy Management Contract", and all equipment and other related expenses during the project transformation period are invested by the energy-saving service company, and the owner does not need to invest any capital. After the completion of the renovation, during the contract performance period, the owner will share the energy-saving benefits generated by the project with the energy-saving service company according to the sharing period and sharing ratio agreed in the contract.

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）