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ddsf:public:guidebook:03_user:11_instrument [2020/08/12 13:48] admin |
ddsf:public:guidebook:03_user:11_instrument [2021/07/14 16:20] (current) murphy |
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- | ====== User Scenario 2: Data Acquisition and Instrumentation Scenario ====== | + | ====== User Scenario 2: Data Acquisition and Instrumentation====== |
- | [[ddsf:private:cookbook:03_user| Return to User Experiences]] | + | [[ddsf:public:guidebook:03_user:start| Return to User Experiences]] |
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- | * **<color #FF0000><todo @char>Please Review</todo></color>** | + | |
- | * **<color #FF0000><todo @DDSFmember>Please Review</todo></color>** | + | |
===== Overview ===== | ===== Overview ===== | ||
- | Instrumentation and data acquisition is focused on the collection of large volumes of [[ddsf:private:cookbook:06_append:glossary:s:sensor]] data in a short amount of time. One example, is an aircraft engine test bed ( for example, [[https://www.mtu.de/e-papers/MTU_ePaper/Marketing/Engine_test_beds/epaper/ausgabe.pdf | MTU Aero Engines]] where various sensors for things like temperature, pressure and vibration are place all around the inside and outside of an engine to collect data as the engine is running. | + | Instrumentation and data acquisition is focused on the collection of large volumes of [[ddsf:public:guidebook:06_append:glossary:s:sensor]] data in a short amount of time. One example, is an aircraft engine test bed ( for example, [[https://www.mtu.de/e-papers/MTU_ePaper/Marketing/Engine_test_beds/epaper/ausgabe.pdf | MTU Aero Engines]]) where various sensors for things like temperature, pressure and vibration are place all around the inside and outside of an engine to collect data as the engine is running. |
Data acquisition is not limited to jet engines, but found in a number of industries. On a small scale, there might be eight to sixteen sensors collecting information maybe at the 10 hertz rate. On a large scale , such as testing a jet engine, there might be hundreds to thousands of sensors collecting data anywhere from 1 hertz to 20 kilohertz. | Data acquisition is not limited to jet engines, but found in a number of industries. On a small scale, there might be eight to sixteen sensors collecting information maybe at the 10 hertz rate. On a large scale , such as testing a jet engine, there might be hundreds to thousands of sensors collecting data anywhere from 1 hertz to 20 kilohertz. | ||
- | * **Note:** 1 hertz is roughly equivalent to 1000 milliseconds, 20 killohertz is roughly equivalent to 0.05 milliseconds. See [[https://www.unitjuggler.com/convert-frequency-from-Hz-to-ms(p).html?val=20000 | Unit Juggler]]. | + | * **Note:** 1 hertz is roughly equivalent to 1000 milliseconds, 20 kilohertz is roughly equivalent to 0.05 milliseconds. See [[https://www.unitjuggler.com/convert-frequency-from-Hz-to-ms(p).html?val=20000 | Unit Juggler]]. |
Many of these data streams must be processed in real-time, in order to detect issues requiring immediate engine shutdown. | Many of these data streams must be processed in real-time, in order to detect issues requiring immediate engine shutdown. | ||
===== DDS Benefits to Acquisition and Instrumentation ===== | ===== DDS Benefits to Acquisition and Instrumentation ===== | ||
- | [[ddsf:private:cookbook:02_body:01_intro | Return to top]] | + | [[ddsf:private:guidebook:02_body:01_intro:start| Return to top]] |
- | A major benefit is to standardize an architecture around [[ddsf:private:cookbook:06_append:glossary:d:data_distribution_service_dds]]. These larger systems contain multiple data acquisition systems from multiple vendors developed at different times and locations. So, standardization on one [[ddsf:private:cookbook:06_append:glossary:m:midware]] and technology standard and interface allows for easy reconfiguration between different engine tests. | + | A major benefit is to standardize an architecture around [[ddsf:public:guidebook:06_append:glossary:d:data_distribution_service_dds]]. These larger systems contain multiple data acquisition systems from multiple vendors developed at different times and locations. So, standardization on one [[ddsf:public:guidebook:06_append:glossary:m:midware]] and technology standard and interface allows for easy reconfiguration between different engine tests. |
- | DDS is one of the few technologies to handle the anount of data and strict processing schedules o these distributed systems while providing multiple DDS vendor product interoperability. | + | DDS is one of the few technologies to handle the amount of data and strict processing schedules for these distributed systems while providing multiple DDS vendor product [[ddsf:public:guidebook:06_append:glossary:i:interoperability|interoperability]]. |
- | * Low Overhead / High Throughput Data Delivery with low [[ddsf:private:cookbook:06_append:glossary:l:latency]]. | + | * Low Overhead / High [[ddsf:public:guidebook:06_append:glossary:t:thruput|Throughput]] Data Delivery with low [[ddsf:public:guidebook:06_append:glossary:l:latency]]. |
- | * [[ddsf:private:cookbook:06_append:glossary:s:scalable]] to 1000’s of devices making it a great solution for all data acquisition systems. | + | * [[ddsf:public:guidebook:06_append:glossary:s:scalable]] to 1000’s of devices making it a great solution for all data acquisition systems. |
- | * On-the-wire [[ddsf:private:cookbook:06_append:glossary:i:interoperability]] between DDS products allows for the fast binary transmission of data and ease of accessing the data on each end of the "wire" | + | * On-the-wire [[ddsf:public:guidebook:06_append:glossary:i:interoperability]] between DDS products allows for the fast binary transmission of data and ease of accessing the data on each end of the "wire". |
<figure figtag> | <figure figtag> | ||
- | {{ :ddsf:private:cookbook:02_body:screen_shot_2020-06-28_at_4.41.02_pm.png?700 |}} | + | {{ ddsf:private:guidebook:02_body:screen_shot_2020-06-28_at_4.41.02_pm.png?700 |}} |
<caption></caption> | <caption></caption> | ||
</figure> | </figure> | ||
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+ | ~~DISCUSSION:on|Outstanding Issues~~ | ||
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