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LoRaWAN - Helping citizens and organizations to reduce environmental impact
技术
- 功能应用 - 远程监控系统
- 网络与连接 - 网关
- 网络与连接 - 洛拉
- 网络与连接 - 低功耗广域网
- 传感器 - 空气污染传感器
- 传感器 - 其他
适用行业
- 航天
- 服装
- 汽车
- 电池
- 建筑物
- 水泥
- 化学品
- 城市与自治市
- 建筑与基础设施
- 医疗保健和医院
- 国家安全与国防
- 石油和天然气
- 铁路与地铁
- 可再生能源
适用功能
- 商业运营
- 维护
- 质量保证
用例
- 建筑能源管理
- 室内空气质量监测
- 网状网络
- 室外环境监测
服务
- 硬件设计与工程服务
- 系统集成
挑战
我们的世界越来越意识到人口增长、资源限制、气候变化和可持续性需求所带来的环境影响。这里最大的挑战是提高公民和组织对其环境影响的认识，并帮助他们
在实时数据的帮助下以可持续的方式减少它。
关于客户
自 2009 年以来一直致力于提高公民和组织对其环境影响的认识，并帮助他们以可持续的方式减少环境影响的环保公司
解决方案
在过去的几年里，Webdyn 一直与 Eco CO2 合作，该生态公司自 2009 年以来致力于提高公民和组织对其环境影响的认识，并帮助他们以可持续的方式减少环境影响。为了实现他们的目标，他们提供个性化的计划和研讨会，以及用于测量和收集能源消耗数据的连接设备。感谢学习
使用这些数据创建，集成到他们的多服务网络平台中，设计和实施有关节能和可持续交通的解决方案，以改变消费行为并加速生态转型。
Eco CO2 和其他系统集成商/物联网平台供应商/解决方案供应商成功地在 SEIZE 等项目中使用了 Webdyn 的设备，这是一个针对私营和公共部门专业人士的节能支持计划，包括两家公司（VSE/SME、贸易、工艺品、个体户、自由主义者等）和 DROMs（海外部门和地区）的地方当局。
借助 WebdynEasy LoRaWAN 网关和 Sens'RF LoRaWAN 传感器（用于电力消耗的 TIC 和用于温度和湿度的 THP），Eco CO2 能够收集必要的消耗数据来创建报告，让公民和组织了解他们的能量习惯，以及如何改变它们。
使用的网关： WebdynEasy LoRaWAN，使用 LoRaWAN 网络的传感器网关
其他设备： Sens'RF LoRaWAN传感器（TIC表示耗电量，THP表示温度和湿度）
收集的数据
Air Quality (PMI), Carbon Dioxide Emissions, Electricity Meters, energy consumption, Energy Usage
运营影响
数量效益
相关案例.
Case Study
Fire Alarm System and Remote Monitoring Sytem
Fire alarm systems are essential in providing an early warning in the event of fire. They help to save lives and protect property whilst also fulfilling the needs of insurance companies and government departments.Fire alarm systems typically consist of several inter-linked components, such as smoke detectors, heat detector, carbon monoxide, manual call points, sounders, alarm and buzzer. The fire alarm system should give immediate information in order to prevent the fire spread and protect live and property.To get maximum protection a shoe manufacturer in Indonesia opted for a new fire alarm system to monitor 13 production sites spread over 160 hectars. Although the company had an existing fire alarm system, it could not be monitored remotely.It was essential that the new system would be able to be monitored from a central control room. It needed to be able to connect to the existing smoke detector and manual call point. Information should be easily collected and passed on to the Supervisory Control and Data Acquisition (SCADA) system. Furthermore, the system should have several features such as alarm management, auto reporting, being connected to many client computers without additional cost, and run 24/7 without fails. The company also needed a system which could be implemented without changing the architecture of the existing fire alarm system.
Case Study
Turning A Stadium Into A Smart Building
Honeywell created what it called the “intelligent system” for the National Stadium in Beijing, China, turning the venue for the opening and closing events at the 2008 Summer Olympics into a “smart building.” Designed by highly controversial artist Ai Weiwei, the “Bird’s Nest” remains one of the most impressive feats of stadium architecture in the world. The 250,000 square meter structure housed more than 100,000 athletes and spectators at a time. To accommodate such capacity, China turned to Honeywell’s EBI Integrated Building Management System to create an integrated “intelligent system” for improved building security, safety and energy efficiency.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Taking Oil and Gas Exploration to the Next Level
DownUnder GeoSolutions (DUG) wanted to increase computing performance by 5 to 10 times to improve seismic processing. The solution must build on current architecture software investments without sacrificing existing software and scale computing without scaling IT infrastructure costs.
Case Study
IoT Applications and Upgrades in Textile Plant
At any given time, the textile company’s manufacturing facility has up to 2,000 textile carts in use. These carts are pushed from room to room, carrying materials or semi-finished products. Previously, a paper with a hand-written description was attached to each cart. This traditional method of processing made product tracking extremely difficult. Additionally, making sure that every cart of materials or semi-finished products went to its correct processing work station was also a problem. Therefore, the company desired an intelligent solution for tracking assets at their factories. They also wanted a solution that would help them collect process data so they could improve their manufacturing efficiency.
