Blockchain-based and human characteristics intelligence recognition for appointment visualization elderly care system

A blockchain and human characteristics intelligence recognition-based appointment-based elderly care system:

• including a cloud server, a smartwatch and a management terminal, with the cloud server linked to the smartwatch and the management terminal, the smartwatch worn by the elderly user, and the management terminal including a PC terminal, a mobile terminal and a display screen;
• wherein the smartwatch includes a central processing module, a video capture module, a voice module, a communication module, a power module and a touch control module, the central processing module being electrically connected to the video capture module, the voice module, the communication module, the power module and the touch control module, the central processing module being connected to the cloud server via the communication module;
• the touch control module reading the touch operation commands on the display of the smartwatch;
• the cloud server parses the data transmitted by the smartwatch and the management terminal, and uses blockchain technology for data storage and execution of the corresponding commands for the data;
• the management terminal is used by service staff, supervisors, family members and customer service to facilitate understanding of the current situation of the elderly, establish mutual communication channels and push timely information on possible dangers;
• wherein the power supply module comprises an output sampling circuit, a transient detection circuit and a fixed on-time generation circuit;
• the output sampling circuitry collects the output voltage and eliminates the error between the steady state output voltage and the reference value by means of a high bandwidth op-amp, sampling the inductor current ripple instead of the output voltage ripple for control so that the output capacitor is selected as a small ESR ceramic capacitor to improve the output ripple;
• the transient detection circuitry detects rapid increases in load and improves transient response speed by forcing the main power tube on;
• the fixed on-time generation circuit accepts control signals to generate the control signals required by the driver circuit;
• wherein an input voltage sampling circuit is provided at the converter input of the power module to detect the input voltage and serve as the input signal for the fixed on-time generation circuit, so that the system switching frequency remains approximately constant in the steady state when the input voltage changes;
• a current sampling circuit is provided at the inductor connected to the converter to sample the inductor current ripple information and convert it into a voltage signal to serve as the input signal for the transient detection circuit and the fixed on-time generation circuit input signals for the transient detection circuit and the fixed on-time generation circuit;
• wherein the output voltage is sampled through a voltage divider network and then adjusted with the reference voltage by a high bandwidth op-amp, and is also used as the input signal for the fixed on-time generation circuit and the transient detection circuit;
• the transient detection circuit compares the current ripple information with the output voltage information, and when a dramatic increase in load occurs, the modulator is controlled to force the upper tube on until it is detected again;
• Vcomp>ViL, at which point the modulator is controlled to force the upper tube on until it is redetected Vcomp≤ViL the modulator is then controlled to turn the upper tube on forcibly until it is detected again, restoring steady-state COT control, thus achieving an approximate single-cycle transient response;
• where Vcomp is the error amplification signal of the output voltage after the operational amplifier, and ViL is the ripple voltage signal obtained from the inductor current sampling and conversion.