Children in the current compulsory education or basic education period are facing increasing learning pressure, allowing more children to choose to live in school and have more time to study. However, the management of late bedtime for boarding students is a major problem in the management of all boarding schools. Because the dormitory is a private place, it is impossible to install cameras. When students arrive at the dormitory, it is closed. Only the person involved knows what happens inside. In key schools, another big problem is that after students go to bed late, they still want to stay up late and work overtime to study questions, or there are many people bragging and chatting. Students in the basic education period are minors. The school has full responsibility for the safety of students at school. During that night, students must sleep in their own beds instead of going to other places or other dormitories. This is a major factor in ensuring the safety of the dormitories. focus. Based on the above management problems, the idea of making such a small work came up. It detects some relevant information through sensors and reports it to the Internet of Things platform in a timely manner. Teachers and dormitory managers can view relevant information in the dormitory in a timely manner.
1. DHT11 temperature and humidity detection 2. Human body infrared pyroelectric detection 3. Microphone sound volume detection 4. Photosensitive resistor brightness detection 5. Battery power detection
This device is placed at the bedside of the dormitory students or attached to the bottom of the upper bunk bed. It is used to detect the activities and sleep conditions of dormitory students after they go to bed late and turn off the lights. The human body pyroelectric sensor is used to detect whether the students in the bed go to bed. When they go to bed, the sound volume and brightness value are detected to identify whether the students in the bed are chatting or staying up late to do homework. DHT11 temperature and humidity sensor detects ambient temperature and humidity information. Plus lithium battery circuit detection. All detected data are uploaded to the Tuya Intelligent Platform regularly or intermittently, which is used to detect students who live on campus and sleep late.
Because dormitories are private places, students also have their own privacy. Therefore, when the sensor detects all information, it only performs simple detection and does not perform identification. For example, sound detection only detects the volume of the sound. It does not identify the specific content of the sound, nor does it record. The sensor only detects the volume.
Take one before welding
The welding height of the photosensitive and microphone is to prepare for subsequent installation of the housing.
Here is a close-up of the Tuya module.
1. There is a problem with the switch position design of the first version. It does not control the battery power supply. The circuit of the V1.1 version has been modified. 2. During the debugging stage, the USB download of the 10U capacitor next to the lithium battery was not normal after welding. After being removed, it became normal again. The reason has not been found yet. , it is estimated that the reason is that the lithium battery is not connected. 3. The human body infrared detection output terminal is a forced push output. It is recommended to connect a 10K pull-down resistor to the output terminal, which has been modified in the V1.1 circuit.
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