Infrared scanning temperature measurement system is widely used in the monitoring of rotary kiln surface temperature in cement, metallurgy, environmental protection and other industries. It is an effective technical means for production enterprises to monitor the calcination process of rotary kiln. In view of the complexity of underground pipeline in most production enterprises, the difficulty of digging in the field and the high cost of construction, an infrared scanning temperature measurement system based on wireless transmission is proposed. The system uses WLAN wireless transmission technology to replace the traditional wired data transmission scheme. Within the coverage of WLAN network, point to point wireless data transmission is implemented. Compared with wired transmission, this method has the advantages of simple and flexible installation, and it’s easier to maintain.
Visual studies have shown that human eyes have mechanisms including micro-movements and super-resolution (SR) information acquisition when gazing at a fixed target. However, the causality between these two mechanisms has not been theoretically clarified. To explore the quantitative relationship between eye micro-movements (EMms) and SR image information acquisition, we propose a novel SR infrared image information acquisition model. In the proposed model, the real visual neuron is simulated by MP artificial neuron, which can generate an output signal when it receives input signal exceeding the threshold of the activated MP neuron. The experimental results illustrate that the perceived infrared image details are more clear and accurate with EMms modes than that with eye motionlessness mode, presenting the SR information acquisition feature.
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