Sushi Sensor

De Sushi Sensoren zijn een draadloze oplossing voor industriële IoT (IIoT). Hiermee creëert u een omgeving die continu de condities van apparatuur bewaakt. Met diverse sensoren realiseert u zo een Asset Performance Management (APM) en Condition Based Maintenance (CBM), om maximale waarde uit uw assets te halen.

CBM is de eerste stap voor het verhogen van die waarde. Om dit te bereiken, moet u de conditie van uw assets kennen. De traditionele controlerondes zijn hiervoor niet ideaal, omdat steeds complexere apparatuur de toegang tot alle instrumenten bemoeilijkt en de inspectietijd doet toenemen.

Om de inzetbaarheid en winstgevendheid van een fabriek te verbeteren, is tijdige identificatie van de conditie én efficiënt onderhoud van verouderde apparatuur vereist. Er zijn verschillende detectietechnologieën nodig om de omstandigheden te bewaken en diverse assets verdeeld over een fabriek te onderhouden. Om dit efficiënt met beperkte manuren te doen, is kwantificering van meetgegevens, geautomatiseerde data acquisitie en opslag systemen nodig. Een Sushi Sensor meet trillingen, temperatuur en druk en genereert zo data voor het onderhoud van apparatuur. De gemeten sensor data worden opgeslagen in de cloud of on-premises via draadloze communicatie.

Gebruikers identificeren de condities van assets door trend monitoring, waarna ze vervolgens het onderhoud efficiënt plannen en op maat uitvoeren. Uitgebreide monitoring van de condities van de gehele fabriek helpt bij het stellen van prioriteiten van apparatuurrisico's en het op een evenwichtige manier maximaliseren van investeringen in apparatuuronderhoud.

Met het uitgebreide Sushi Sensor portfolio detecteert u afwijkingen aan apparatuur. En met het kant-en-klare Artificial Intelligence (AI) product verwerkt u de verzamelde gegevens. In de toekomst zullen we AI inzetten om het gebruik van apparatuur gegevens mogelijk te maken voor toepassingen als storingsvoorspelling en ondersteuning van onderhoudsbeslissingen. Door onze kennis van het fabrieksdomein op deze gegevens toe te passen, bevordert Yokogawa de APM, dat de waarde van apparatuur verbetert door de bediening en het onderhoud van apparatuur met elkaar te laten samenwerken zodat ze elkaar aanvullen. En we helpen u ook uw digitale transformatie te activeren en waarde te leveren door bijvoorbeeld de productiviteit en efficiëntie van een fabriek te verbeteren.

Kijk hier voor meer details.

Dit IIoT-programma combineert diepgaande kennis van processen, de laatste technologieën - waaronder de sushi sensoren - en menselijke factoren en transformeert uw fabriek naar een smart factory.

Deze draadloze druk sensor meet de overdruk van gassen en vloeistoffen in pijplijnen. De sensor wordt gevoed door een batterij en is speciaal ontworpen voor IIoT-toepassingen.

Deze draadloze temperatuur sensor ondersteunt 2 ingangen van IEC-standaard thermokoppels (een van de 9 typen, waaronder Type B, E en J). De sensor wordt gevoed door een batterij en is speciaal ontworpen voor IIoT-toepassingen.

Deze draadloze temperatuur sensor meet de trillingen langs de X-, Y- en Z-as en controleert tevens de oppervlaktetemperatuur. De sensor wordt gevoed door een batterij en is speciaal ontworpen voor IIoT-toepassingen.

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.

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Sushi Sensor XS770A wallpaper for smartphone

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Sushi Sensor XS770A wallpaper for PC

Product overzicht

    Overzicht:

    The measurement, collection and utilization of equipment data by the Industrial IoT (IIoT) wireless solution “Sushi Sensor” contributes to efficient equipment maintenance and open a new road to a Smart Factory.

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