Duct air velocity sensor is widely used in many fields such as industrial production and ventilation systems. The accuracy and stability of its signal transmission are crucial, and anti-interference technology is the key to ensure this performance.
First of all, for signal transmission methods, common ones are analog signal transmission and digital signal transmission. Analog signal transmission is relatively simple and direct, reflecting wind speed information through changes in voltage or current, but it is easily attenuated and interfered by noise during long-distance transmission, resulting in signal distortion. Digital signal transmission has higher reliability. Converting wind speed data into digital code for transmission can effectively reduce errors in the transmission process and facilitate data processing and storage.
In terms of signal transmission lines, the use of shielded cables is an effective anti-interference measure. The shielding layer can block external electromagnetic interference, such as electromagnetic fields generated by nearby motors, transformers and other equipment, to prevent it from affecting the transmission signal. At the same time, reasonable wiring is also very critical. The signal transmission line should be avoided from being laid parallel to the strong power line as much as possible to reduce electromagnetic coupling interference.
Grounding technology plays an important role in the signal transmission and anti-interference of duct air velocity sensor. A good grounding system can provide a stable reference potential for the signal and reduce common-mode interference. The sensor housing, the shielding layer of the signal transmission line, etc. need to be reliably grounded, and the grounding resistance should meet the requirements of relevant standards to ensure the effectiveness of the grounding.
For radio frequency interference, filters can be used to suppress it. The filter can selectively allow signals within a specific frequency range to pass through, while blocking interference signals of other frequencies, thereby purifying the transmitted wind speed signal. For example, for some occasions that may be interfered by radio waves, installing a suitable radio frequency filter can significantly improve the quality of the signal.
In terms of software algorithms, data verification and error correction technology can also be used. When the sensor transmits data, a checksum is added, and the receiving end determines whether the data is accurate by verifying the checksum. If errors are found in the data, the error correction algorithm can be used to repair it, further improving the reliability of signal transmission and ensuring the accuracy of wind speed data.
In addition, for some harsh industrial environments, such as the presence of highly corrosive gases, dust, etc., it is also necessary to protect the signal transmission components of the sensor to prevent these substances from corroding the lines and interfaces, affecting the stability and anti-interference ability of signal transmission.
The signal transmission and anti-interference technology of duct air velocity sensor requires comprehensive consideration from multiple aspects such as signal transmission method, line design, grounding, filter application, software algorithm and protective measures to ensure that the sensor can stably and accurately transmit wind speed signals in various complex environments and provide reliable data support for the normal operation of related systems.
