Sushi Sensor

Sushi Sensor is a wireless solution for industrial IoT. It can provide the environment that continuously monitor equipment conditions with multiple types of sensors for the realization of Asset Performance Management (APM) which is an activity to deliver maximum value to the equipment owned by the customers, and Condition Based Maintenance (CBM).
CBM is the first step for enhancing the value created by equipment. To achieve CBM, equipment conditions must be grasped. Conventional operator rounds are not ideal for this because increasingly complex equipment make it difficult to access all instruments and increase the time required for inspection.

To improve the availability ratio and profitability of plants, timely identification of health conditions and efficient maintenance of aged equipment are required. Various sensing technologies are needed to monitor conditions and maintain diverse equipment. In order to maintain equipment distributed across a plant efficiently with limited man-hours, quantification of measurement data and automated data acquisition and storage systems are required Sushi Sensor measures vibration, temperature, and pressure as data for maintaining equipment. The measured sensor data are stored in host systems such as the cloud or the on-premises via wireless communication.
Users can identify equipment conditions by trend monitoring in the cloud or the on-premises, and then plan and perform maintenance efficiently, tailored to the equipment conditions. Comprehensive monitoring the conditions of the whole plant helps create priorities of equipment risks and maximize investment in equipment maintenance in a balanced manner.

Yokogawa can utilize our expanded Sushi Sensor portfolio to detect equipment anomalies by our off-the shelf AI-Enabled product to process the collected data. Moving forward, we will leverage AI to enable the use of equipment data for such applications as failure prediction and maintenance decision support. By applying our plant domain knowledge to this data, Yokogawa will promote asset performance management (APM), which improves the value created by equipment, by making operation and equipment maintenance collaborate with and complement each other. And we will also help customers drive their digital transformation and deliver value through such means as improving plant productivity and efficiency.

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This product acts as a battery-powered wireless pressure sensor, and it is suitable for Industrial IoT (IIoT) applications. Wireless Pressure Sensor has the function of measuring the gauge pressure of gases and liquids in a piping.

This product acts as a battery-powered wireless temperature sensor, and it is suitable for Industrial IoT (IIoT) applications. Wireless Temperature Sensor supports 2 inputs of IEC standard thermocouples (any of 9 types including Type B, E, J).

This product acts as a battery-powered wireless vibration sensor and it is suitable for Industrial IoT (IIoT) applications. Wireless Vibration Sensor measures vibration along the X, Y, and Z axes in addition to monitoring the surface temperature.

2020.07.20 Released new wireless pressure and temperature sensors for Sushi Sensor.

2019.5.22 At ARC Forum Europe 2019 in Barcelona, Spain, Yokogawa held a Sushi Sensor demo and delivered the presentation titled “ Digital Transformation Using LoRaWAN”.

2019.5.21 Yokogawa has released Sushi Sensor XS770A in Europe and opened the website.

What is Sushi Sensor?

Sushi Sensor is a wireless solution for industrial IoT.

To improve the availability ratio and profitability of plants, timely identification of health conditions and efficient maintenance of aged equipment are required. Various sensing technologies are needed to monitor conditions and maintain diverse equipment. In order to maintain equipment distributed across a plant efficiently with limited man-hours, quantification of measurement data and automated data acquisition and storage systems are required Sushi Sensor measures vibration, temperature, and pressure as data for maintaining equipment. The measured sensor data are stored in host systems such as the cloud or the on-premises via wireless communication.

Since it complies with LoRaWAN, which is a low-power wide-area (LPWA) network for long-distance communication, the sensors can be deployed anywhere in a plant and cover a vast area. Also, it has environmental resistance features to support heavy-duty use (IP66/67, explosion proof).

Users can identify equipment conditions by trend monitoring in the cloud or the on-premises, and then plan and perform maintenance efficiently, tailored to the equipment conditions. Comprehensive monitoring the conditions of the whole plant helps create priorities of equipment risks and maximize investment in equipment maintenance in a balanced manner.

System Configuration figure of Sushi Sensor

 

Features

[Easy installation]

  • Compact, lightweight, battery-powered sensors.
  • Operable in harsh environments including hazardous areas (waterproof, dust-proof, and explosionproof).
  • The LoRaWAN standard enables long-distance communication of up to 1 km, and thus flexible installation.

[Easy setting]

  • Parameters can be set with a smartphone via near-field communication (NFC).

[Easy data collection and monitoring]

  • Data can be collected over a wide area via long-distance wireless communication.
  • Collected data can be accessed from user applications in the cloud.
 
 
 
 
 
Sushi Sensor App

 

Why is it called "Sushi Sensor" ?

Sushi Sensor was named after sushi, a hand-pressed traditional Japanese food which combines rice with various toppings.

  1. Sushi is easy to eat. Sushi Sensor can be easily installed.
  2. Professionals prepare sushi. Sushi Sensor is a robust, finely-crafted product.
  3. Sushi comes with various toppings. Various kinds of sensors are being developed for Sushi Sensor.
 
 
 
Sushi

 

Solutions

(Digitizing)Sensing

Sushi Sensor measures vibration, temperature, and pressure as data for maintaining equipment. The measured sensor data are stored in host systems such as the cloud or the on-premises via wireless communication.

(Digitalizing)Sensemaking

Users can identify equipment conditions by trend monitoring in the cloud or the on-premises, and then plan and perform maintenance efficiently, tailored to the equipment conditions.

(DX)Digital Transformation

Comprehensive monitoring the conditions of the whole plant helps create priorities of equipment risks and maximize investment in equipment maintenance in a balanced manner. quantification of measurement data and automated data acquisition and storage systems are required.

 

Benefits

The Sushi Sensor is expected to deliver the following four benefits.

  • Sushi Sensor automatically acquires data from equipment including those in high places and hazardous areas. Using the data online helps reduce inspection man-hours.
  • Sushi Sensor helps quantify and visualize inspection results that have depended on the intuition and experience of individual field operators, on the domain knowledge in the field, and practical know-how.
  • Sushi Sensor helps reduce variations in inspection quality due to differences in the skill and experience of operator rounds.
  • Equipment trend monitoring with Sushi Sensor enables early detection of signs of abnormalities without overlooking them.

Sushi Sensor continuously monitors target equipment. Data are quantified, accumulated, and used for simple diagnoses. Signs of abnormality in equipment are never overlooked.

[Detailed diagnosis]

When a sign of abnormality is detected, operators perform a detailed diagnosis to identify the cause.

[Making a decision on the next action]

Based on the results of the detailed diagnosis, operators decide an appropriate action and its schedule Sushi Sensor is a wireless solution for the IIoT, monitoring equipment conditions continuously.
Operators can concentrate on high value-added tasks such as detailed diagnoses and making decisions on the next action. A sign of abnormality is never overlooked and CBM is ensured.

 

Yokogawa Advocates APM

Yokogawa enhances the value of customers’ equipment through asset performance management (APM).

 To maximize the value of equipment, APM focuses on the availability of equipment and evaluates their performance. To maximize performance, APM should be performed not only in maintenance but also in operation and other areas where maintenance and operation must be collaborated to complement each other.

 Conventionally, plant operation systems aim to improve production efficiency and product quality while equipment maintenance systems aim to both maximize operational efficiency and minimize costs. However, when maximizing production efficiency, maintenance costs are not necessarily optimized. Although operation information and maintenance information must be combined to maximize profits for the whole plant, this is rarely achieved mainly because maintenance is not always quantified.

 To solve this problem, Yokogawa has developed Sushi Sensor, which consists of a sensor that collects basic data for equipment maintenance and functions that quantify, accumulate, and analyze these data, enabling operators to make objective judgements.
 Sushi Sensor strengthens collaboration between operation systems and equipment maintenance systems, achieving APM that optimizes all phases from the detection of equipment conditions by sensors to decisions on appropriate actions by operators.

Yokogawa’s APM not only optimizes equipment maintenance but also improves the operation of the whole plant.
Complementary collaboration between operation and equipment maintenance.

Yokogawa’s Industrial IoT reference model (2015)

 

 

Please download and use the wallpapers.

For Smartphone

Sushi Sensor XS770A wallpaper for smartphone

For PC

Sushi Sensor XS770A wallpaper for PC

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