<prompt> Fana ka mohlala oa mokhoa oa ho bokella lintlha indastering.nan  <response>: Instruction in English: Provide an example of a system of data collection in industry. . Response in English: An example of a system of data collection in industry is the use of Industrial IoT Internet of Things devices and sensors in manufacturing. This system involves the deployment of multiple sensors throughout a manufacturing facility to collect real-time data about the production process, equipment performance and environmental conditions.These sensors capture data such as temperature, humidity, vibration, and energy consumption, and transmit it to a centralized data management system. This data can then be analyzed and used to optimize production processes, improve equipment efficiency, prevent downtime, and reduce maintenance costs.For example, in a factory that produces car engines, data on the temperature and vibration of the production machines can be collected to predict when maintenance is required, or when a machine may be about to fail. The real-time data collected also allows for quick identification and resolution of issues that can cause production delays, such as a sudden drop in the performance of a machine, or a change in environmental conditions that could affect product quality.Overall, the use of IoT devices and sensors in industry results in an efficient, streamlined and cost-effective system of data collection that can drive improvements in production processes and ultimately improve the bottom line for companies. . Response in Sesotho: Mohlala oa mokhoa oa ho bokella lintlha indastering ke tšebeliso ea lisebelisoa tsa Industrial IoT Inthaneteng ea Lintho le li-sensor ha ho etsoa tlhahiso. Sistimi ena e kenyelletsa ho tsamaisoa ha li-sensor tse ngata ho pholletsa le setsi sa tlhahiso ho bokella lintlha tsa nako ea nnete mabapi le tsebetso ea tlhahiso, tsebetso ea lisebelisoa le maemo a tikoloho. Li-sensor tsena li nka lintlha tse kang mocheso, mongobo, vibrate le tšebeliso ea matla, me li e fetisetsa tsamaisong e bohareng ea data. Lintlha tsena li ka hlahlojoa le ho sebelisoa ho ntlafatsa litsebetso tsa tlhahiso, ho ntlafatsa tsebetso ea lisebelisoa, ho thibela nako, le ho fokotsa litšenyehelo tsa tlhokomelo. Ka mohlala, fekthering e hlahisang lienjine tsa likoloi, boitsebiso bo mabapi le mocheso le ho sisinyeha ha mechine ea tlhahiso bo ka bokelloa ho bolela esale pele hore na ho hlokomeloa ho hlokahala neng, kapa ha mochine o le mothating oa ho hlōleha. Lintlha tsa nako ea sebele tse bokelitsoeng li boetse li lumella ho tsebahatsa ka potlako le ho rarolla mathata a ka bakang tieho ea tlhahiso, joalo ka ho theoha ka tšohanyetso ha mochine o sebetsang, kapa phetoho ea maemo a tikoloho e ka amang boleng ba sehlahisoa. Ka kakaretso, tšebeliso ea lisebelisoa tsa IoT le li-sensor indastering e etsa hore ho be le tsamaiso e sebetsang hantle, e hlophisitsoeng le e theko e tlaase ea pokello ea lintlha e ka tsamaisang ntlafatso ea mekhoa ea tlhahiso ea lihlahisoa me qetellong e ntlafatse ntlha ea bohlokoa bakeng sa likhamphani. 