Smart Wellness Yoshio Sekiguchi Sr. General manager, Micro Devices H.Q. OMRON Corporation
Corporate Overview OMRON s Origins OMRON s history OMRON was established in 1933 as Tateisi Electric Manufacturing Company. The name was changed to OMRON Corporation in 1990. The name OMRON comes from the original location of the company in Omuro, Kyoto. The product that led to OMRON s establishment was an X-ray timer, a revolutionary product at the time in that it enabled the timing of X-ray photography accurate to within 1/20th of a second. OMRON founder Kazuma Tateishi OMRON at the time of its establishment Timer for X-ray photography OMRON today We now have approximately 36,000 employees around the world.
Core Competence in Sensing and Control Technology Sensing and control, OMRON s core technology, refers to the conversion of information into value. By selecting only what s necessary from various types of information for example, human thoughts and intentions, information about the human body, information about individual people or objects, and information about the environment and converting it into information that people find valuable, this technology can be used to control machinery and equipment. In our pursuit of enhanced sensing and precise control, OMRON continues to push the limits in order to simplify and optimize this value conversion process. OMRON deploys its sensing and control technology over a wide range of areas, including control devices for factory automation, electronic components for household appliances and communications equipment, automotive electronic components, social systems, and healthcare and medical equipment, to provide technologies, products and services that meet social needs.
Corporate Overview Net Sales by Business Segment
MEMS Market
6 Core Technologies PC/tablet mobile/smart phone Sphygmomanometer Active meter Acoustic sensor Pressure sensor Air conditioner Residential use fuel cell IR sensor Flow sensor BEMS/MEMS/HEMS Smart gas meter Low frequency accelerometer MEMS-switch Seismometer module Tester board ATE(semiconductor)
Pressure Sensor History Application Blood Pressure Monitors Pedometers (PC-linkable) Activity Monitors (Cloud Linkable)
Absolute Pressure Sensor Next Generation - Mobile 3D Navigation Major Characteristics Accuracy :37cm Small PKG :2.0x2.5x0.85mm Low Power :2.5uA Interface :I2C,SPI Application Location services Destination Guidance Shopping Advertisement Urgent information etc. etc.
Sensor in IoT application Ecosystems driven by numerous sensor data government energy healthcare factory agriculture traffic security medical Prediction Precaution Assistance Advice Guidance IoT Service Platform Analytics Data Fusion Open API Various data in other domain Wide Area Network Gateway Sensor Various Sensing data 9 9
Location Environment Value of Sensor Data Small Data Statistical Data Time dependent Personalization Location Environment Situation Big Data awareness Things Step 1 (1D) Things Step 2 (2D) Things Step 3 (3D) Data collection from things + Personal Information Time series + Location Surrounding Environment = Value-added Data & Analysis Static Information Dynamic Information
Basic Architecture : Sensor Module Input Battery Rechargeable Battery Energy Harvesting Power management Control Raw data MEMS based Sensing Elements MCU & Embedded systems ~ Scalable & Flexible ~ Digital Sensor Correction Signal Processing Signal Evaluation Low-power algorithm AFE / ASIC Analog filter Level adjustment Analog Signal Conditioning Generation of the unique indexes directly linked with services or contents on the network Interface Wireless module Valuable Information Serial Communication UART / SPI / I2C BT4.0 802.15.4 Wi-Fi
Integrated Environmental Sensors Sensor module for the environmental data collection in various applications Remote Care Healthcare services Energy management Gateway Cloud 12
Concept Model for Integrated Environmental Sensors Infrared Flow velocity Absolute pressure Temperature Humidity Light Temperature Humidity Absolute pressure Light RGB Color Ultraviolet Sound noise Acceleration (Φ60) Features (32x32) Small size of the package Integrating various sensors in single module battery-powered and wireless communication capability
Application : Thermal Comfort Visualize level of thermal comfort and the risk of heatstroke. Thermal comfort is affected by not only room temperature! Infrared Sensor Humidity Sensor Temperature Sensor Flow Sensor Room Temp. Air Flow Humidity Activity Radiation Air quality Health Thermal Comfort Energy Management Sensing and Control good balance 14 14
Application : Building / Workplace Window Side Air-conditioning Outlet Conference Room Understanding workplace environment Desk Task-ambient control 15
Application : Healthcare Services Environment Health Cloud Vital Information Gateway Alerts and advices Activity Body Temp. Blood pressure Sleep quality Remote care
Demonstration : Mobile Application Web Services Cloud HTTP Information based SNS Data Visualization WEB UI 3G/LTE/Wi-Fi Push Notification Environmental Information Location Alert & Advice Smartphone App Sensing various environmental factor
18 Social Issues to address Weather Aberration Air Pollution Natural Disaster Decrepit Buildings Energy Shortage Food Shortage Population Explosion Aging Society Safe, Security, Health Environment-friendliness
Atmospheric Pressure (hpa) 気圧 [hpa] Weather Forecast PTB330 との気圧変動比較 1010 1010 1005 1005 1000 Atmospheric Pressure Variation when typhoon is coming 1000 PTB330 との気圧変動比較 Typhoon Passing 995 995 990 990 985 985 980 980 975 975 970 970 2013 年 9 月 13 日 2013 年 9 月 14 日 2013 年 9 月 14 日 2013 年 9 月 15 日 2013 年 9 月 15 日 2013 年 9 月 16 日 2013 年 9 月 16 日 Date 2013 年 9 月 17 日 2013 年 9 月 17 日 PTB330: No.1: PTB330: No.1: No.2: No.2: No.3: No.4: No.4: 2013 年 9 月 18 日 2013 年 9 月 18 日 Typhoon hit can be sensed two days before. Collecting sensor data helps to predict the path accurately.
Earthquake Detection - Demonstration Integrated Environmental Sensor can detect the level of damage from earthquake to prevent secondary accident. Furthermore, distributed sensor network helps to identify the most affected area for recovery. Gateway Cloud High Mid High Low Mid Low 20 20
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