Temperatures on surfaces of THEORETICAL adiabatic system - physics

If a theoretical system is adiabatic and can't exchange heat with it's surroundings, is the exterior surface theoretically the same temperature as the surroundings and is the interior surface theoretically the same temperature as the the system itself? and if so, how does this not break the definition of heat as energy that flows from something at a hotter temperature to something at a lower temperature?

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Need assistance with building a LabVIEW setup for Pressure/Temperature/RPM/Voltage/Amperage

I'm working on assembling a LabVIEW setup that has the ability to measure Pressure, Temperature, RPM, Voltage and Amperage. I believe I have identified the correct modules but am looking for another opinion before giving anyone a lot of money.
Requirements:
Temperature: Able to measure 7 channels of temperatures ranging from
ambient to 300 degrees F.
RPM: Able to measure shaft RPM up to 3600.
Voltage: Able to measure up to 500 Volts, 3 phase AC.
Amperage: Able to measure up to 400 Amps, 3 phase AC.
Pressure: Able to measure 2 channels of various ranges of PSI
(specific transducers to be identified at a later date).
The Gear:
Chassis: cDAQ-9174 with the PS-14.
Temperature: T type thermocouples and NI-9212.
RPM: Monarch Instrument Remote Optical Laser Sensor and NI-9421.
Laser uses 24 volts but returns 19 volts when target is present and 0
volts when the target is not present.
Voltage*: ATO three phase AC voltage sensor ATO-VOS-3AC500 outputting
0-5 volts and either NI-9224 or NI-9252.
Amperage*: 3, Fluke i400 units returning 1mV per Amp and either
NI-9224 or NI-9252.
Pressure: 2, 4-20mA 2 or 3 wire pressure transducers to be identified
at a later date, and either NI-9203 or NI-9253.
*Voltage and amperage will be measured on the same unit
Questions:
RPM: Will the NI-9421 record a pulse of 19 volts?
Voltage and Amperage: What is difference between the NI-9224 and the
NI-9252, which one would work best for my application?
Pressure: What is the difference between the NI-9203 and the NI-9253
other than input resolution and which one would work best for my
application? Resolution is not a priority.
Overall: Anything stand out as a red flag?
I have not tried any of this equipment out myself.
Thanks in advance for your expertise and patience.
First things first, I would encourage you to strike up a conversation with whichever NI distributor is local to you. Checking specifications and compatibility between sensors, modules, chassis, etc. is very much in their wheelhouse, and typically falls in the pre-sales phase of discussion so you shouldn't need to spend money to get their expertise.
(Also, if you're new to LabVIEW and NI: I very much recommend checking out the NI forums in addition to Stack Exchange. Both are generally pretty helpful communities!)
One thing I'm not seeing in the requirements you listed that would be very helpful are timing requirements/sample rates. What frequency do you need to sample each of these inputs, and for how long? How much jitter and skew between samples is acceptable? Building a table of signal characteristics including: original project specification, specification in units of the measurement device, minimum sample rate, analog/digital, and which module the channel is on will make configuring a chassis to meet your needs a lot easier.
For a cDAQ system the sample rates you measure at, and how many different ones you can run at one time, is determined by the chassis rather than the module. (PCI/PXI data acquisition cards have the timing engine on the card.) For the cDAQ-9174 you can run multiple tasks per chassis but only one task per module. You may need to group your inputs onto modules that run at similar rates to fit into the available tasks. I put a link to NI's documentation of the cDAQ timing engine at the bottom.
Now to try to summarize the questions:
Homer512 is correct about voltage, 11V is the ON threshold. However, the NI-9421 can only count pulses up to 10kHZ into the counter. How many pulses are generated per rotation? Napkin math says one pulse per rotation at 3600RPM means you're capturing a 216kHz pulse stream at minimum. (This is why timing is everything. You also probably don't want to transfer every single pulse to calculate the RPM constantly, more likely you need the counter to sum up the pulses as fast as they happen, and at a slower rate you check to see how many counts went by since your last check-in.)
Homer512 is correct again, NI 9252 has additional hardware filtering before the ADCs. This would be for frequency filters on the input source, not usually something you would use if you're just reading a 5V signal from a sensor.
NI 9203 uses a SAR ADC (200kS/s), NI 9253 uses a Delta-Sigma (50kS/s/ch). Long story short: NI 9253 is more accurate but slower. I'd need more information to make a best for application judgement, specifically numerical requirements on resolution and timing.
Red flags: kinda captured it in the other points, but the project requirements have some gaps. I've had " is not a priority" and requirements in a unit other than the measurement device (RPM vs. pulses/s or Hz) bite me enough times that I highly recommend having it written down even if it's blatantly obvious.
Links may move in the future, and the titles are weird, but here are a few relevant NI docs:
"Number of Concurrent Tasks on a CompactDAQ Chassis Gen II" https://www.ni.com/en-us/support/documentation/supplemental/18/number-of-concurrent-tasks-on-a-compactdaq-chassis-gen-ii.html
"cDAQ Module Support for Accessing On-board Counters" https://www.ni.com/en-us/support/documentation/supplemental/18/cdaq-module-support-for-accessing-on-board-counters.html

How do I Find Work Done by a Non-Conservative Force?

How would I find the percent of mechanical energy lost to thermal energy due to friction if a 3.250g bullet enters a wooden block with a velocity of 80.00 m/s, and if it exits the block with a velocity of 20.00 m/s?
Thank-you!
You can do this using the conservation of energy. "Non-Conservative Force" only means that use won't get the kinetic energy back by moving the bullet backwards.
Your system consists of the wooden block and the bullet. There is nothing else that can exchange energy so the whole energy is always the sum of
the kinetic energy of the bullet (=m v^2 / 2)
the thermal energy of the bullet
the kinetic energy of the block
the thermal energy of the block
At first everything but the kinetic energy of the bullet is zero.
If your block is very heavy and is not accelerated by the bullet, its kinetic energy will stay =0. So all the lost kinetic energy must have been converted to thermal energy.

Is it possible to determine if vehicle rolled back on slope or hill using gps or acclerometer?

I have a vehicle with a tracker installed. The device has a gps syst, 3-axis accelerometer, 3-axis magnetomet and a gyromeyet. Is it possible to determine by how much the vehicle rolled back on a slope or hill. Using gps angle wasn't an option as the angle given for short backward movement isn't always reliable. Can accelerometer be used in such a scenario??
You're right that the GPS angle (heading) will not help you in a single-antennae setup. On its own a GPS receiver needs a minimum distance of movement to determine heading.
A simple GPS receiver, when used without GPS corrections (which is the case for off-the-shelf GPS devices and mobile phones/tablets), has a minimum ~5 meter accuracy. That's why a short backward movement will not yield the desired results.
In construction/mining applications, there is often a fixed GPS base station nearby that broadcasts GPS corrections, which allows vehicle-mounted GPS receiver to apply corrections, reduce error and ultimately get centimeter-level accuracy.
So in conclusion, your 3-axis accelerometer will likely be the only sensor that you can rely on until your vehicle has rolled back at least 5 meters.
If your accelerometer is sensitive enough, you'll get measurable sensor values. However, if you rollback is very slow, where the G forces are almost imperceptible to the accelerometer, then you're out of luck.
This is assuming that you want near real-time detection of vehicle rollback.

I have a project idea on Smart Lighting System. How can I do the simulation for this?

Currently I am working on this project to provide the layout of a smart street light system with energy saving function based on sensor network for energy management. The proposal is an autonomous-distributed-controlled light system, in which the lights turn on before pedestrians come and turn off or reduce power when there is no one by means of a distributed-installed sensor network.
I will be adding a few things to the project for energy reduction but what I need to know is how do I perform the simulation to show that this approach would reduce energy consumption?

When is it needed to fuse IMU sensor data with GPS-RTK, and when is it not?

I'm using a high accuracy GPS RTK setup to precisely locate a mobile robotic platform in the field (down to 10 cm accuracy). I have also a 9DOF IMU mounted on the platform (9DOF sparkfun IMU Razor).
The Question is, Do I really need to perform a sensor fusion between IMU and GPS like what this ROS node do (http://wiki.ros.org/robot_localization) to estimate the robot pose? or is it just enough to read the Pitch,Yaw,Rotation data from the IMU to know the heading along with the GPS Long,Lat,Alt ?
What cases make it essential to perform this type of fusion ?
Thanks in advance
It is essential to perform fusion because:
1) Roll, Pitch, and Rotation data from the IMU are not perfect, and they will drift over time due to gyro errors. The magnetic field sensor in the IMU module limits this, but crudely. Fusion allows the GPS RTK measurements to be used to continuously estimate the dominant error sources in the IMU and maintain better attitude information.
2) The IMU supports position estimation when GPS-RTK is lost through signal blockage or any other outage, such that the robotic platform is not lost when and if GPS signals are interrupted.