Preventing Concrete Peeling with Use of AIoT
AIoT (Artificial Intelligence of Thing) used in concrete peeling prevention consists of Edge Computer Vision, IoT Sensors, and AI Algorithm.
Armitage’s edge computer vision can be used to detect and analyze cracks in the concrete before they become more serious. IoT sensors are used to collect data about environmental condition that can affect the concrete structure including moisture, temperature, humidity and vibration level. AI algorithm is responsible for analyzing data collected in real-time, and it is trained to detect patterns and trends in the data that indicate a risk of concrete peeling.
Computer vision visually inspect concrete surfaces and detect early sign of damages, such as small crack or discoloration that might not be visible to human eye. This allows maintenance team to identify and address problem early before they become larger and costlier to fix.
Computer vision can also be used to measure the size and location of cracks in the concrete with greater accuracy than manual methods. This information helps maintenance team to determine severity of the problem and to plan repairs.
By analyzing data collected through computer vision, maintenance team can identify patterns and trends in the occurrence of cracks and other types of damages. This helps team to predict when and where problems are likely to occur in the future, and allow them to take proactive action to prevent the problems.
Computer vision can be used to monitor concrete surfaces in real-time, providing immediate alerts when damage is detected. This helps maintenance teams to respond quickly and prevent further damages.
Moisture sensors can be placed within the concrete structure to monitor the moisture levels in real-time. This can help detect any sudden changes in moisture levels that could lead to peeling. The data collected by the sensors can be analysed to identify any patterns or trends that may indicate a problem. If high moisture levels are detected, steps can be taken to reduce them, such as improving drainage or sealing the concrete.
Extreme temperatures can cause concrete to expand and contract, leading to peeling. By monitoring the temperature and making adjustments as necessary, the risk of peeling can be reduced. IoT temperature sensors can be used to monitor the temperature of the concrete structure as well as the surrounding environment.
High humidity levels can cause moisture to penetrate the concrete, leading to peeling. Humidity sensors can be used to monitor the humidity levels of the environment around the concrete structure. By monitoring the humidity levels and taking steps to reduce them, the risk of peeling can be reduced. This could include using dehumidifiers or improving ventilation to reduce humidity levels.
Vibration can cause cracks and other damage to the concrete, leading to peeling. By monitoring the vibration levels, it is possible to identify any machinery or equipment that is causing excessive vibration and take steps to reduce it. IoT vibration sensors can be used to monitor the vibration levels of heavy machinery or equipment operating near the concrete structure. By monitoring the vibration levels, it is possible to identify any machinery or equipment that is causing excessive vibration and take steps to reduce it. This could include relocating the machinery or using vibration dampening materials.
AIoT implementation allows real-time monitor concrete condition and prompt data collection and analysis. It is possible to prevent concrete peeling and reduce the need for costly repairs. By detecting and addressing issues early on, it is possible to ensure that the concrete remains in good condition for years to come.