官术网_书友最值得收藏!

Problems with space

IoT devices are located in multiple geographic locations. Different areas of the world have different environmental conditions. Temperature variations can affect sensor accuracy. You could have less accurate readings in Calgary, Canada than in Cancun, Mexico, if cold impacts your device.

Elevation can affect equipment such as diesel engines. If location and elevation is not taken into consideration, you may falsely conclude from IoT sensor readings that a Denver-based fleet of delivery trucks is poorly managing fuel economy compared to a fleet in Indiana. Lots of mountain roads can burn up some fuel!

US elevation profile from LA to NYC. Source: reddit.com

Remote locations may have weaker network access. The higher data loss could cause data values for those locations to be underrepresented in the resulting analytics.

Many IoT devices are solar powered. The available battery charge can affect the frequency of data reporting. A device in Portland, Oregon, where it is often cloudy and rainy will be more impacted than the same device in Phoenix, Arizona, where it is mostly sunny.

There are also political considerations related to the location of the IoT device. Privacy laws in Europe affect how the data from devices can be stored and what type of analytics is acceptable. You may be required to anonymize the data from certain countries, which can affect what you can do with analytics.

主站蜘蛛池模板: 新闻| 洛阳市| 吉隆县| 栾川县| 木兰县| 宜宾县| 德州市| 察隅县| 邛崃市| 金湖县| 桃源县| 华亭县| 雷波县| 剑阁县| 革吉县| 耿马| 溆浦县| 定结县| 峨眉山市| 石景山区| 酉阳| 丰县| 西乌珠穆沁旗| 江源县| 奇台县| 望都县| 云霄县| 自治县| 中方县| 留坝县| 河间市| 冀州市| 江安县| 克什克腾旗| 班戈县| 瑞金市| 高清| 崇义县| 镶黄旗| 巴青县| 海伦市|