After researching multiple manufacturing enterprises, a phenomenon was discovered: those companies that have successfully undergone digital transformation have all laid out and deeply cultivated the Internet of Things (IoT) early on. So, what exactly is the IoT? Why has it become the cornerstone of smart factory construction?
1. What is the Internet of Things?
The core concept of the Internet of Things is quite simple: to connect everything, making it perceivable and communicable.
You can think of it as equipping every device, every part, and even every tool in the factory with a “digital mouth” and “digital ears”.
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“Digital mouth”: This refers to sensors that can actively “speak” about their status, such as “I am hot” (temperature sensor), “I am vibrating heavily” (vibration sensor), “I am currently running” (switch sensor).
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“Digital ears”: These are networks and actuators that can “hear” commands and respond, such as automatically shutting down equipment upon receiving a “stop” command.
The Internet of Things is a vast network that connects devices, products, environments, and more from the physical world to the digital world through sensing and communication technologies, enabling data collection, transmission, analysis, and intelligent control.
2. Why should smart factories build the Internet of Things?
What is the biggest pain point for traditional factories? It is the “black box” operation.
Management wants to know “What stage is the order production at?” “Why is the equipment down?” “What is the qualification rate?” They need to ask layer by layer and manually compile statistics. Information is delayed and inaccurate, making decision-making akin to “blind men touching an elephant.”
The construction of the Internet of Things aims to completely break this “black box”, making the factory transparent. Its necessity is reflected in three aspects:
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Achieve “all-factor” connectivity, allowing data to replace manual tasks Without the Internet of Things, devices are isolated “mute”. Through the IoT, we connect all production factors such as people, machines, materials, methods, and environment, enabling automatic and real-time data collection. This is akin to equipping factory managers with a “thousand-mile eye,” allowing them to have a clear understanding of the production site from the office.
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Establish the foundation for “data-driven” operations, allowing machines to “speak” and “think” The Internet of Things is the only source of massive data for smart factories. Without it, subsequent big data analysis, artificial intelligence, and digital twins become “water without a source, wood without roots.” Only by collecting high-quality real-time data through the IoT can we enable machines to not only “report” situations but also “predict” failures and “optimize” parameters through AI algorithms.
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Respond to national strategies and seize policy opportunities The State Council’s General Office issued the “Implementation Opinions on Accelerating Scene Cultivation and Promoting Large-Scale Application of New Scenes,” which clearly states the need to deepen the application of the industrial Internet, with the core foundation being the Internet of Things. Building the IoT is an inevitable choice for enterprises to align with the national direction of intelligent manufacturing and seek policy support.
3. The role of the Internet of Things in management
The value of the Internet of Things ultimately needs to be reflected in specific management scenarios to solve practical problems. It mainly plays the following four key roles:
1. As a “precise supervisor”: achieving transparency and visualization of the production process
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Scenario: Managers can see in real-time the output of each production line, the operational status of each device (running, stopped, faulty), and the progress of each order through the central control screen.
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Management value: This resolves the pain point of “non-transparent production progress,” providing real-time and accurate data for production scheduling and decision-making.
2. As a “responsible doctor”: achieving predictive maintenance of equipment
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Scenario: Install vibration and temperature sensors on key equipment (such as spindles and motors). The IoT platform can continuously analyze this data and provide early warnings when equipment shows slight abnormalities but has not yet stopped, guiding maintenance personnel to perform targeted maintenance.
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Management value: Changing from “repair after failure” to “prevent before failure” significantly reduces unplanned downtime, extends equipment lifespan, and lowers maintenance costs.
3. As a “strict quality inspector”: achieving full-process quality traceability
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Scenario: From the moment raw materials are received, assign them a unique identifier. The IoT records every process, the parameters used, the operators involved, and the corresponding quality inspection data throughout the production process.
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Management value: In the event of a quality issue, it can be traced back to the problematic batch within minutes, quickly identifying the cause, greatly narrowing the recall scope, and reducing quality losses.
4. As a “smart steward”: achieving refined management of energy and materials
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Scenario: Install smart meters for energy consumption points such as water, electricity, and gas; add RFID tags to warehouse materials.
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Management value: Real-time monitoring of energy consumption to detect abnormal waste; achieving automatic inventory checks, precise positioning, and first-in-first-out (FIFO) management, effectively reducing inventory costs and material losses.
The Internet of Things is not an optional technical embellishment, but rather the “digital nervous system” of smart factories. It connects everything and perceives everything, injecting “data blood” into traditional manufacturing, thus driving management from “experience-driven” to “data-driven,” from “fuzzy management” to “precise governance.”
—— This is “Useless Great Use”, understanding the AI path and seeing the forefront of the whole picture!