A Wireless IIoT Solution Sushi Sensor

Why is it called "Sushi Sensor" ?

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

1. Like sushi is easy to eat, Sushi Sensor can be easily installed.
2. Like skilled professionals prepare sushi, Sushi Sensor is a robust, finely-crafted product.
3. Like sushi comes with various toppings, various kinds of sensors are being developed for 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 monitors vibration, temperature, and pressure as data for inviting the maintenance of the equipment. The monitored 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 Sushi Sensor 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 condition of the whole plant helps create priorities of equipment risks and maximize investment in equipment maintenance in a balanced manner.

Solutions

（Digitizing）Sensing

Sushi Sensor monitors vibration, temperature, and pressure as data for maintaining equipment. The monitored 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.

How Sushi Sensor Benefits Remote Asset Monitoring

[Benefits of the Equipment]

- Reduce inspection man-hours by automatically collecting data on equipment (even in high and hazardous areas) and make it available online
- Quantify and visualize inspection results that depend on individual experience, intuition, and on-site know-how
- Reduce variance in inspection quality due to differences in staff skill
- Trend monitoring of equipment enables early detection of abnormal signs ("something wrong") and avoids oversight

[Supports Determining Next Steps]

1) When an anomaly is detected, the operator performs a detailed diagnosis and identifies the cause. 
2) Based on the results, the operator determines the appropriate action and schedule.

The operator can focus on value-adding tasks such as detailed diagnostics and determining next steps. Sushi Senser detects signs of abnormalities and contributes to CBM.

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.