KR102223932B1 - A Block Chain Body Touch Pattern Sensing System - Google Patents

Abstract

The interface circuit part 606 is connected to transmit the sensing pattern data of the capacitive sensor array mat 602 device and the control signal of the actuator 604 device. The signal transmitted to the interface circuit unit 606 is connected to the Internet network by a wireless or wired communication unit 608. The signal transmitted by the wireless or wired communication unit 608 is stored in the decentralized block chain storage system 610 to accumulate detection pattern data.
The body pattern analysis system 612 analyzes the detection pattern data accumulated in the decentralized block chain storage system 610 based on time, posture, and location. Body Pattern Analysis System 612 includes applying AI (Artificial Intelligence) analysis techniques such as Machine Learning and Deep Learning based on Big Data, which is the accumulated detection pattern data. .
The decentralized app service system 614 provides a service that allows users to utilize specific pattern data analyzed by the body pattern analysis system 612. The decentralized app service system 614 includes wired/wireless terminal devices such as mobile phones, PCs, and tablet PCs.

Description

Block Chain Body Touch Pattern Sensing System

When a part of the human body is in contact within the Capacitive Sensor Array Mat 602, detection pattern data is generated based on the contact shape. Applied objects to which the Capacitive Sensor Array Mat 602 can be installed include devices that can contact a person's body, such as various chairs and various beds. The interface circuit part 606 is connected to transmit the detection pattern data signal of the capacitive sensor array mat 602 and the control signal of the actuator 604 on the Internet. The signal transmitted to the interface circuit unit 606 is connected to the Internet network by a wireless or wired communication unit 608. The signal transmitted by the wireless or wired communication unit 608 is stored in the decentralized block chain storage system 610 to accumulate detection pattern data.

The body pattern analysis system 612 analyzes the detection pattern data accumulated in the decentralized block chain storage system 610 based on time, posture, and location. Body Pattern Analysis System 612 includes applying AI (Artificial Intelligence) analysis techniques such as Machine Learning and Deep Learning based on Big Data, which is the accumulated detection pattern data. .

The decentralized app service system 614 provides a service that allows users to utilize specific pattern data analyzed by the body pattern analysis system 612. The decentralized app service system 614 includes wired/wireless terminal devices such as mobile phones, PCs, and tablet PCs.

In a voltage conversion device for converting a high voltage AC power source to a low voltage DC power source, the transformer circuit 100 typically becomes a circuit area that incurs a large area and cost in the configuration of the circuit.

Therefore, it acts as a disturbing factor in constructing a low-cost circuit. Meanwhile, the Zener diode 104 circuit region is disposed in parallel with the output terminal of the rectifier circuit 102 in order to secure the output voltage characteristic of a constant voltage.

Recently, the role of surge protection that protects the system from system transients and lightning-induced transients in the communication field, and the role of electrostatic discharge (ESD) protection that protects the circuit against static electricity such as mobile communication terminals, notebook PCs, electronic notebooks, and PDAs. As a PN varistor is required.

It is used as a surge absorbing device to prevent sudden voltage surge in products that use electricity, such as various information devices and control devices, and damage to appliances. In addition, it is used in a variety of areas, from power equipment fields such as power plants, substations, and transmission stations to the core elements of power arresters to safely protect facilities from lightning strikes.

Accordingly, the necessity to protect the system from power surges, lightning surges, etc. occurring in these equipments is more strongly demanded than ever.

Surge Protection Device (SPD, Voltage Transient Management System: VTMS, or Transient Voltage Surge Suppressor: TVSS) is used to block the electronic devices installed in the power system from destruction or malfunction from such transient external surges. Install. In addition, electronic devices installed in the power system must be equipped with a sensing protection device capable of preventing disasters caused by various faults such as abnormal current, abnormal voltage or leakage current.
In Korean Patent Application No. 10-2011-0141186 (2011.12.23),'a touch sensor capable of specifying the touch position and/or the intensity of the touch pressure by using graphene as an electrode and/or a strain gauge, In particular, it describes a touch sensor that can simultaneously sense pressure and position by changing resistance by using graphene, and in Korean Patent Application No. 10-2017-0113321 (2017.09.05),'Grid of pressure sensor' is described. 'Smart bed system using shape arrangement', and Korean Patent Application No. 10-2016-0099419 (2015.02.12) describes'posture detection and method using FSR (Force Sensing Resistor) sensor'. , In Japanese Patent Publication No. 5167409 (2013.03.21),'Detection of change in resistance due to change of dielectric thickness between electrostatic membranes by pressure on the mattress in order to suppress the occurrence of bedsores in patients living sickly: claim [ 7] In the sensor body 30, the electrodes (01 X to 14 X, 01Y to 10 Y) have a band-shaped outer electrode (01 X to 14 X) on which the sensor thin film 31 is disposed, The sensor thin film 31 is formed in a band-shaped rear electrode (01 Y to 10 Y), and the detection units (A0101 to A1410) include the outer electrode (01 X to 14 X) and the rear electrode (01). The positional body pressure control device (1) according to any one of claims 1 to 6, wherein the detection unit changes in electric capacity according to the input load by being formed by crossing Y to 10 Y) from the front and back directions. ) A device and method that detects the patient's posture and body pressure by attaching an electric capacity to detect body load and changes posture' are described, but as in the above example, the basis of the posture detection prior art is all pressure. In other words, it is based on a method of detecting changes in resistance value characteristics (decompression detection) according to body pressure. All.
Accordingly, the prior art is based on a resistance characteristic change sensor technology as a structure of a decompression-based FSR sensor that senses weight or pressure, a capacitance sensor of a conductive sheet, or an electric capacity sensor.
In addition, another prior art is disclosed in Japanese Patent Publication JP 2017-169881 A (2017.09.28),'Re-phase sensor and upper-phase state determination device: In claim [1], as a capacitance-type sensor that detects the presence or absence of a body. , A first electric capacity electrode formed by a pair of positive and negative electrodes, and a second electric capacity electrode formed by a pair of positive and negative electrodes installed in close proximity to the first electric capacity electrode. The body presence detection signal ( A phase sensor characterized by outputting a detecting signal is described. However, as in the above example, the unit capacitance type phase sensor element of the prior art includes the first two electrodes of electric capacity and the Based on the second electric capacity two electrode structure, it is composed of a total of four plurality of positive and negative electrode pairs.
Regardless of the pressure or resistance change sensing structure of the prior art, the first electric capacity positive and negative pair electrode and the second electric capacity positive and negative pair electrode structure at all, the present invention It is based on a distance-aware capacitive sensor (m,n) device that detects whether a part of a human body such as a foot has approached within a certain distance, and the unit capacitive sensor (m,n) device is based on a single electrode structure technology. I want to unfold.

An embodiment of the present invention has the following features.

First, it has a feature that enables the implementation of a system that enables people with discomfort in their physical condition to take measures such as correction by detecting a sitting or standing posture in a chair.

Second, it has the feature of implementing a system that can prevent the occurrence of bedsores through time management of the patient lying in bed.

Third, it has the characteristic of implementing a system capable of acquiring information and taking action to control the state during sleep by detecting body posture patterns during sleep of ordinary people or to understand other symptoms of the body.

In a voltage conversion device for converting a high voltage AC and DC power supply to a low voltage DC power supply, the configuration of the normal transformer circuit 100 is removed to remove a large area occupied by the normal transformer circuit 100 to reduce cost. It is characterized in that the circuit can be configured.

In addition, the block configuration of the strong-ARM Latch amplifying circuit for generating Sensing Detection Voltage is composed of a strong-ARM amplifying unit 700 for generating Sensing Detection Voltage, a CLK generating unit 701 and a capacitive sensor unit 702.

The S_1 signal input transistor 706 is a transistor element for inputting the S_1 signal of the capacitive sensor unit 702.

S_2 signal input The Sensing Detection Voltage generation transistor 707 is a transistor element for inputting the S_2 signal of the capacitive sensor unit 702.

In order to generate a Sensing Detection Voltage characteristic of a predetermined value different from the S_1 signal input transistor 706, a plurality of transistors are connected in series or connected in parallel so that the current driving capability differs from the S_1 signal input transistor 706. Characterized in that.

The capacitive sensor unit consists of a thin film or thick dielectric insulating film formed on the surface of a single pad electrode, and the single pad electrode is configured by selectively connecting to one terminal from the S_1 signal or S_2 signal terminals of the strong-ARM amplifying unit generating Sensing Detection Voltage.

The thing device 600 refers to a device corresponding to a target object of IoT (Internet of Things). In the present invention, the object device 600 includes a capacitive sensor array mat 602, which is a capacitive sensor arrangement device capable of generating a signal when a human body touches it, and a response control corresponding to the sensor signal. It includes an Actuator 604, which is an execution device capable of processing signals. Capacitive Sensor Array Mat (602) device is a structural device in which a plurality of capacitive sensors are arranged in a matrix in the row and column directions, that is, in the form of Capacitive Sensors (1,1) and Capacitive Sensors (m,n). Means. Each Capacitive Sensor(m,n) element generates a contact signal when a part of a human body such as a hand or foot approaches within a certain distance. In the Capacitive Sensor Array Mat (602), a plurality of specific capacitive sensor elements in the area where a part of the human body is in contact generates a contact signal, and the remaining capacitive sensor elements generate a non-contact signal. It is done.

As described above, the embodiment of the present invention has the following effects.

First, it provides an effect of enabling the implementation of a system that enables people with discomfort in their physical condition to take measures such as correction by detecting a posture sitting or standing in a chair.

Second, it provides an effect characterized by implementing a system capable of preventing the occurrence of bedsores through time management of the patient lying in bed.

Third, an effect characterized in that it is possible to implement a system capable of acquiring information and taking measures to control the state of sleep by detecting body posture patterns during sleep of ordinary people or to identify other symptoms of the body. Provides.

In addition, preferred embodiments of the present invention are for illustrative purposes, and those skilled in the art will be able to make various modifications, changes, substitutions and additions through the technical spirit and scope of the appended claims. It should be viewed as belonging to the scope.

1 is a configuration diagram of a typical voltage conversion circuit.
2 is a block diagram of a half-wave rectified VDD power generation circuit according to the present invention.
3 is a block diagram of a strong-ARM Latch amplifying circuit for generating Sensing Detection Voltage of the present invention.
Figure 4 is an operation waveform diagram of the strong-ARM Latch amplification circuit generating Sensing Detection Voltage of the present invention.
Figure 5 is a detailed circuit diagram of the present invention Capacitive Sensor unit 702.
Figure 6 is a block diagram of the present invention decentralized block chain body contact detection pattern data analysis system.
7 is a detailed circuit diagram of a capacitive sensor (m,n) of the present invention.
Figure 8 is a detailed circuit diagram of the present invention Capacitive Sensor Array Mat 602.
9 is an operation waveform diagram of the circuit of the present invention Capacitive Sensor Array Mat 602.
10 is a first physical contact detection pattern data map of the present invention.
11 is a second physical contact detection pattern data map of the present invention.
12 is a block diagram of a protective case of the present invention unit Capacitive Sensor (m,n).
13 is a block diagram of a Combo device to which an actuator of the present invention is applied.
Fig. 14 is a configuration diagram of a Combo device to which the actuator of the present invention is applied.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a configuration diagram of a typical voltage conversion circuit.

In a voltage conversion device that converts the AC input power supply 100 to the voltage of a low voltage DC power supply, it is generally composed of a transformer circuit 101, a rectifier circuit 102, and a circuit area of a Zener diode 104. do. In general, the transformer circuit 100 is a circuit region for converting a high voltage input power into a low voltage.

The rectifier circuit 102 is a circuit region composed of half-wave or full-wave rectifier diodes that convert AC power into DC power. Typically, the transformer circuit 100 becomes a circuit area that incurs a large area and cost in the configuration of the circuit.

Therefore, it acts as a disturbing factor in constructing a low-cost circuit.

Meanwhile, the Zener diode 104 circuit region is disposed in parallel with the output terminal 103 of the rectifier circuit 102 in order to secure the output voltage characteristic of a constant voltage.

The output terminal 103 of the rectifying circuit 102 is used as the final output first power supply terminal 105.

2 is a block diagram of a half-wave rectified VDD power generation circuit according to the present invention.

In the voltage conversion device for converting the AC input power source to the voltage of a low voltage DC power source of the present invention, one electrode 201 of the AC input power source 200 is connected to one input terminal of the half-wave rectification circuit.

The other electrode 202 of the AC input power supply 200 is connected to a common ground terminal, GND.

One electrode 201 of the AC input power supply 200 is connected to the anode electrode of Diode D4.

The cathode electrode of Diode D4 is connected to one terminal of resistor R1, which is a current limiting element.

The other terminal 204 of the resistor R1 is commonly connected to the cathode of the Zener diode 206 and the anode electrode of the diode D5.

The Anode terminal of the Zener diode 206 is connected to a common ground terminal, GND.

A VDD power terminal, which is a low voltage output terminal, is connected to the cathode electrode of D5.

The VDD power terminal is connected to the VDD power terminal of the strong-ARM Latch amplifier circuit that generates Sensing Detection Voltage.

3 is a block diagram of a strong-ARM Latch amplifying circuit for generating Sensing Detection Voltage of the present invention.

The block configuration of the sensing detection voltage generation strong-ARM Latch amplification circuit is composed of the sensing detection voltage generation strong-ARM amplification unit 700, the CLK generation unit 701, and the capacitive sensor unit 702.

The sensing detection voltage generating strong-ARM amplifier 700 includes a precharge transistor 703 at the out- terminal, a precharge transistor 704 at the out+ terminal, a latch amplifier 705, an S_1 signal input transistor 706, and a S_2 signal. It is composed of input sensing detection voltage generating transistor 707 and activation control transistor 708.

The precharge transistor 703 and the precharge transistor 704 are transistors used to precharge the out- and out+ terminals to a high voltage.

The latch amplifier 705 is a circuit for amplifying an out- terminal and an out+ terminal.

The S_1 signal input transistor 706 is a transistor element for inputting the S_1 signal of the capacitive sensor unit 702.

S_2 signal input The Sensing Detection Voltage generation transistor 707 is a transistor element for inputting the S_2 signal of the capacitive sensor unit 702.

In addition, the S_2 signal input Sensing Detection Voltage generation transistor 707 is configured by connecting a plurality of transistors in series or in parallel in order to generate a Sensing Detection Voltage characteristic of a predetermined value different from the S_1 signal input transistor 706. It is characterized in that a difference from the S_1 signal input transistor 706 in the current driving capability by connecting.

When the CLK signal is high, the activation control transistor 708 activates the operation, and when the CLK signal is low, the activation control transistor 708 performs an operation of precharging.

The CLK generator 701 is a circuit block characterized in that when power is applied, CLK, which is a clock signal of a certain period, is generated by itself.

The capacitive sensor unit 702 is a sensor circuit block that generates various sensor signals such as a temperature sensor, a magnetic sensor, and a gas sensor.

4 is an operation waveform diagram of the strong-ARM Latch amplifying circuit generating Sensing Detection Voltage of the present invention.

In the section in which the CLK signal of the CLK generator 701 is Low, the strong-ARM amplifying unit 700 generating Sensing Detection Voltage is deactivated to perform a precharge operation.

On the other hand, in the section in which the CLK signal of the CLK generator 701 is high, the strong-ARM amplifier 700 for generating Sensing Detection Voltage is activated to perform a normal amplification operation.

The circuit of the present invention is characterized in that the amplification operation and the precharge operation are periodically repeated in response to a certain frequency period of the CLK while power is being supplied.

5 is a detailed circuit diagram of the capacitive sensor unit 702 of the present invention.

The capacitive sensor unit 702 is a circuit configuration for detecting a fluctuation signal of capacitance in response to an approaching motion of a human body or another object.

It consists of a capacitance sensing element and a sensitivity setting value control resistor RS 504 element.

The capacitance sensing element is composed of a thin film or thick dielectric insulating film 500 and a single Pad electrode 502.

The sensitivity setting value control resistor RS 504 element is connected to the S_1 signal and S_2 signal terminals of the strong-ARM amplifier 700 generating Sensing Detection Voltage.

The thin film or thick dielectric insulating film 500 is formed on the surface of the single Pad electrode 502. The single pad electrode 502 terminal is configured by selectively connecting to one of the S_1 signal or S_2 signal terminals of the strong-ARM amplifier 700 generating Sensing Detection Voltage.

The insulating film 500 includes vacuum and air, and includes various thin-film or thick-film electrical non-conductor insulating materials such as SiO2 and plastic materials.

The material of the pad electrode 502 includes all conductive materials such as Al, Cu, and Au.

The sensitivity setting value control resistor RS 504 element is an element for setting a sensing distance value when a human body, an animal, or other object approaches.

6 is a block diagram of a pattern data analysis system for detecting body contact in a decentralized block chain of the present invention.

The thing device 600 refers to a device corresponding to a target object of IoT (Internet of Things). In the present invention, the object device 600 includes a capacitive sensor array mat 602, which is a capacitive sensor arrangement device capable of generating a signal when a human body touches it, and a response control corresponding to the sensor signal. It includes an Actuator 604, which is an execution device capable of processing signals. Capacitive Sensor Array Mat (602) is a structural device in which a plurality of capacitive sensors are arranged in a matrix in the row and column directions, that is, in the form of Capacitive Sensors (1,1) and Capacitive Sensors (m,n). it means. Each Capacitive Sensor(m,n) element generates a contact signal when a part of a human body such as a hand or foot approaches within a certain distance. Capacitive Sensor Array Mat (602) In the device, a plurality of specific capacitive sensor elements in the area where part of the human body is in contact generates a contact signal, and the capacitive sensor ( Capacitive Sensor) devices generate a non-contact signal. Therefore, when a part of the human body is in contact within the capacitive sensor array mat 602, detection pattern data is generated based on the contact shape. Applied objects to which the Capacitive Sensor Array Mat 602 can be installed include devices that can contact a person's body, such as various chairs and various beds. In addition, another application object includes a living room where the Capacitive Sensor Array Mat 602 can be installed or a place where a person can lie down or sit on a flat surface. In various embodiments, when the Capacitive Sensor Array Mat 602 is installed on a chair, separate Capacitive Sensor Array Mats 602 are attached and installed on the floor, side, and back, respectively, so that the contact area of the body in each contact area. It collects pattern data for detection. When the Capacitive Sensor Array Mat 602 device is installed on a bed, the Capacitive Sensor Array Mat 602 is spread and installed on the bed mattress to collect detection pattern data for the contact area of the body while sleeping or lying down. When the capacitive sensor array mat 602 is installed in an ondol room, the capacitive sensor array mat 602 is spread and installed on the ondol room to collect detection pattern data for the contact area of the body while sleeping or lying down. The actuator 604 is a device that analyzes and processes the collected detection pattern data and processes control signals for necessary manipulation measures. The control operation of the actuator 604 includes processing control operations such as height, angle, vibration, and temperature.

The interface circuit part 606 is connected to transmit the detection pattern data signal of the capacitive sensor array mat 602 and the control signal of the actuator 604. The signal transmitted to the interface circuit unit 606 is connected to the Internet network by a wireless or wired communication unit 608.

The wireless or wired communication unit 608 includes wireless communication technologies such as Bluetooth, Zigbee, Wi-Fi, LTE or 5G.

The signal transmitted by the wireless or wired communication unit 608 is stored in the decentralized block chain storage system 610 to accumulate detection pattern data.

Blockchain (blockchain) is a distributed data storage environment based on a chain-type connection created based on the P2P method, so that small data, called ``blocks,'' which detect pattern data to be managed, are stored in a distributed data storage environment, so that no one can arbitrarily modify it. It is a data credit prevention technology based on distributed computing technology that allows you to view the results of changes. This is basically a form of distributed data storage technology. It is a change list in which continuously changed data is recorded in all participating nodes, and is designed to prevent arbitrary manipulation by the operator of the distributed node.

The body pattern analysis system 612 analyzes the detection pattern data accumulated in the decentralized block chain storage system 610 based on time, posture, and location. Body Pattern Analysis System 612 includes applying AI (Artificial Intelligence) analysis techniques such as Machine Learning and Deep Learning based on Big Data, which is the accumulated detection pattern data. .

The decentralized app service system 614 provides a decentralized application (D-APP) service that allows users to utilize specific pattern data analyzed by the body pattern analysis system 612. The decentralized app service system 614 includes wired/wireless terminal devices such as mobile phones, PCs, and tablet PCs. As a service example of the decentralized app service system 614, posture information is provided to a patient wearing a posture correction device.

In order to prevent bedsores in patients who have been lying down for a long time, information is provided, such as triggering a posture change action alert when lying in the same position for a certain period of time.

In addition, as a means to predict in advance the correlation between the sleep posture of the general person and the degree of fatigue in daily life, or whether the body is abnormal, analyzes the body posture pattern data while sleeping in bed and analyzes and provides specific information during sleep. do.

The transaction settlement method of decentralized app service includes cryptocurrency that operates on a distributed ledger based on a blockchain or DAG (Directed Acyclic Graph).

7 is a detailed circuit diagram of a capacitive sensor (m,n) of the present invention.

The circuit blocks shown in FIGS. 3 and 5 refer to the body contact detection circuit shown in FIGS. 3 and 5.

The ground voltage in Figs. 3 and 5 is connected to a common ground terminal, GND.

The VDD power terminals of Figs. 3 and 5 are connected to the VDD power terminals of the strong-ARM Latch amplifier circuit that generates Sensing Detection Voltage.

The out+ terminal of FIGS. 3 and 5 means an out- terminal or an out+ terminal of the latch amplifier 705.

When a physical contact is made to the circuits of Figs. 3 and 5 within a certain distance, the out+ terminals of Figs. 3 and 5 are characterized by generating an output of a high signal.

When no physical contact is made to the circuits of Figs. 3 and 5, the out+ terminals of Figs. 3 and 5 are characterized by generating an output of a Low signal.

The out+ terminals of FIGS. 3 and 5 are connected to the gate terminal of the NM, which is an N-type Metal Oxide Semiconductor (NMOS) transistor.

Source terminal of NM is connected to GND, which is a common ground terminal.

The drain terminal of NM is connected to the Touch_output terminal, which is an output signal of physical contact.

When the signal of the out+ terminal of FIGS. 3 and 5 is high, the Touch_output terminal is characterized by generating a low output signal.

8 is a detailed circuit diagram of the Capacitive Sensor Array Mat 602 of the present invention.

A plurality of unit capacitive sensor (m,n) elements of FIG. 7 are arranged in row and column directions, respectively, to constitute a two-dimensional arrangement structure.

By using a row decoder in the row direction, a plurality of row selection signals, Row_1 and Row_m selection signals, are sequentially generated to collect body contact signal data in the row direction.

Row Selection The Row_1 selection line is commonly connected to the VDD terminals of FIGS. 3 and 5 (802) and 3 and 5 (802).

Row Selection The Row_m selection line is commonly connected to the VDD terminals of FIGS. 3 and 5 (806) and 3 and 5 (808).

The input signal of Row Decoder is composed of Row Address signal.

By using a column decoder in the column direction, COL_DEC selection signals, which are multiple column selection signals, are sequentially generated to collect physical contact signal data in the column direction.

Column Selection The Column_1 selection line is commonly connected to the Touch_ouput terminal, which is the drain terminal of the NM 803 and the NM 807.

Column Selection The Column_n selection line is commonly connected to the Touch_ouput terminal, which is the drain terminal of the NM 805 and the NM 809.

The input signal of Column Decoder is composed of Column Address signal.

The COL_DEC selection signal controls C/S_1 and C/S_n, which are column selection switches, respectively.

Source terminals of C/S_1 and C/S_n, respectively, column selection switches are connected to Column_1 and Column_n, respectively, and Drain terminals of C/S_1 and C/S_n, respectively, column selection switches are I/O bus terminals, I/O_1. And I/O_n terminals.

I/O bus terminals, I/O_1 and I/O_n terminals, respectively, are connected to one terminal of PUR(810) and PUR(812), respectively, pull-up resistance elements, and PUR(810) and PUR, respectively, which are pull-up resistance elements. A voltage VDD, which is a power supply voltage, is connected to the other terminal of 812.

Therefore, each I/O_1 and I/O_n terminals, which are the I/O bus terminals, maintain the high state during the precharge period and transition to the low state by a body contact signal during the active period.

Each of the I/O bus terminals I/O_1 and I/O_n terminals are connected to the interface circuit unit 606 by an I/O bus interface circuit block.

Parallel I/O Bus Size is characterized by being composed of x8, x 16, x32, or x64.

9 is an operation waveform diagram of the circuit of the Capacitive Sensor Array Mat 602 of the present invention.

In the active section, if the Row_1 selection line among the plurality of row selection lines transitions to the VDD voltage, which is a high signal, the Capacitive Sensors connected to the Row_1 selection line are in operation standby mode.

The remaining Row_m selection line is the GND voltage, which is a low signal, and the Capacitive Sensors connected to the Row_m selection line are in non-operation mode.

At the same time, when the COL_DEC signal, which is the column decoder signal, transitions to high, the corresponding column selection switches are activated, so that the columns of Column_1 and I/O_1 are switched ON and connected, and the columns of Column_n and I/O_n are connected by turning on the switch element.

Therefore, the I/O_n terminal signal in I/O_1 generates a high signal of logic 1 data and a low signal of logic 0 data depending on whether or not there is physical contact.

10 is a first physical contact detection pattern data map of the present invention.

The first embodiment of the invention capacitive sensor array mat 602 at a specific time t1, which is a first physical contact detection pattern data map, is shown.

When the body lies upright in the invention Capacitive Sensor Array Mat (602), the body contact detection pattern data in the area where the body is in contact with the logic 0, low value signal is detected, and the body non-contact detection pattern in the area where the body is not contacted. Data is characterized by detecting a high value signal of Logic 1.

Accordingly, it is possible to collect body position status information over time by changing the shape pattern of the body contact detection pattern data.

11 is a second physical contact detection pattern data map of the present invention.

A second physical contact detection pattern data map of the second embodiment of the invention Capacitive Sensor Array Mat 602 at a specific time t2 is shown.

When the body lies on the side within the invention Capacitive Sensor Array Mat (602), the body contact detection in the area where the body is in contact with the pattern data, a low value signal of logic 0 is detected, and the body non-contact detection in the area where the body is not in contact. Pattern Data is characterized by detecting a high value signal of Logic 1.

Accordingly, it is possible to collect body position status information over time by changing the shape pattern of the body contact detection pattern data.

12 is a block diagram of a protective case of a capacitive sensor (m,n) of the present invention unit.

Unit Capacitive Sensor (m,n) is composed of a PCB protective case that inserts and installs a Capacitive Sensor PCB Module and a Capacitive Sensor PCB Module, and power and signal input/output wiring.

The PCB protective case is characterized by being made of strong and high dielectric constant materials such as plastic composites and ceramics. The PCB protective case can be constructed by adding ocher or natural jade on the surface. The shape of the PCB protective case can be configured in various shapes, including a square or round shape. In addition, the PCB protective case (Case) is characterized by molding treatment with a synthetic material to protect or fix the Capacitive Sensor PCB Module. The PCB protective case safely protects the Capacitive Sensor PCB Module from impact or pressure when the body is in contact, and provides a function to detect the contact signal with high performance when it comes into contact with the body.

13 is a block diagram of a combo apparatus to which the actuator of the present invention is applied.

The Combo device applied to the actuator of the present invention is characterized in that a unit capacitive sensor (m,n), a drive shaft and a vertical height control drive unit are integrated into one device. The vertical height control driving unit refers to a device capable of converting into vertical motion, including various motors or piezoelectric element driving devices. The Combo device to which the actuator of the present invention is applied can control the surface exposure height of the body contact part of the unit capacitive sensor (m,n) by the driving shaft and the vertical height control driving part.

Fig. 14 is a block diagram of an arrangement of a combo device to which the actuator of the present invention is applied.

Capacitive sensors (m,n) can be controlled at different heights in a combo device arrangement with a plurality of actuators applied. That is, when the physical contact state is maintained for a specific set time in a specific capacitive sensor (m,n), the height is changed to relieve the physical contact or convert to a non-contact state. As an example, when a critically ill or elderly person who cannot move his or her body is lying on a bed, skin diseases such as bedsores by improving blood circulation by changing the body contact area after a certain period of time after collecting body position status data over time Can be prevented. Currently, a caregiver sets a time and changes the position at regular intervals, and it is possible to automate the change of position through the IoT service.

100 input power
101 transformer circuit
102 rectifier circuit
104 Zener diode
105 first power supply terminal
200 input power

Claims (1)

In a block chain body contact detection pattern data analysis system based on distance perception that detects whether a part of a human body such as hands or feet approaches within a certain distance
An object device 600; And
Capacitive Sensor Array Mat 602; And
Actuator 604; And
Interface circuit part 606; And
Wireless or wired communication unit 608; And
Decentralized Block Chain storage system 610; And
Body Pattern Analysis System (612); And
It consists of a decentralized app service system 614,
In the thing device 600,
The object device 600 includes the capacitive sensor array mat 602, which is a capacitive sensor arrangement device capable of generating a signal when a human body comes into contact with it, and a response control signal corresponding to the sensor signal. Including the Actuator 604, which is an execution device capable of processing,
The capacitive sensor generates a contact signal when a part of a human body such as a hand or foot approaches within a certain distance,
The capacitive sensor includes a single Pad electrode 502 structure,
The capacitive sensor includes a strong-ARM latch amplifying circuit generating Sensing Detection Voltage and an NM, an N-type Metal Oxide Semiconductor (NMOS) transistor,
The sensing detection voltage generation strong-ARM latch amplification circuit includes a VDD power supply terminal, a common ground terminal GND and a latch amplification unit 705,
The latch amplification unit 705 includes an out+ terminal as an output terminal,
The gate terminal of the NM is connected to the out+ terminal,
The source terminal of the NM is connected to the common ground terminal, GND,
The drain terminal of the NM is connected to the Touch_output terminal, which is an output signal of physical contact,
The VDD power terminal is connected to a row signal line,
The Touch_output terminal is connected to the column signal line,
In the Capacitive Sensor Array Mat 602, a plurality of the capacitive sensors are arranged in a matrix form in a row direction and a column direction,
In the Capacitive Sensor Array Mat (602),
A plurality of specific proximity to a region where a part of the human body is in contact. The capacitive sensor elements generate a contact signal, and a plurality of non-proximity capacitive sensors in an area where the other part of the human body is not contacted. Sensor) devices generate sensing pattern data characterized by generating a non-contact signal,
The interface circuit part 606 is connected to transmit the sensing pattern data of the capacitive sensor array mat 602 and the control signal of the actuator 604,
The signal transmitted to the interface circuit unit 606 is connected to the Internet network by the wireless or wired communication unit 608,
The signal transmitted by the wireless or wired communication unit 608 is stored in the decentralized block chain storage system 610 to accumulate the detection pattern data,
The body pattern analysis system 612 analyzes the detection pattern data accumulated in the decentralized block chain storage system 610,
The body pattern analysis system 612 includes applying an artificial intelligence (AI) analysis technique such as machine learning and deep learning based on the accumulated detection pattern data, The decentralized app service system 614 provides a decentralized app service through which a user can utilize the specific pattern data analyzed by the body pattern analysis system 612. Data analysis system.

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