ninamihalios

Dear Engineer: Hello, the acquisition card I am currently using is MCC 172. I have encountered a technical issue and am currently working on an intelligent fault diagnosis system. The framework still uses Dash, which is a multi routing page based on Dash, including the acquisition page, diagnosis page, etc. The code I used for the collection page is the open source code provided by your Gitub. Now I want to save the real-time data collected after clicking the 'Stop' button on the collection page and upload it to the diagnostic page for diagnosis. I know you provide a function to save the CSV file of the real-time collection, but the effect of processing that file is not very good. Therefore, I want to use the data collected from the web page to process it. I would like to ask if the engineer has any good ideas and how to implement this function.

hello@福斯托,This is a sample file and an error message after I modified it.Thank you very much. web_server.py

Hello engineer, when I web_server used this script, I tried to modify the range of the button 'Samples to disaplay', I changed it to the maximum value of 10240, and the sampling frequency was also 10240, and the result prompted me an overflow warning, I want to ask if the maximum value of this number can only be 2000, or if the code I modified is not perfect so it will report an error.

Hello engineer, I would like to ask you about the web server, I am currently working on a project. We have a test bench that is specially used for fault diagnosis and monitoring, and I use the MCC 172 board to collect real-time signals when the test bench is running. In order to make it easier to process the data, I would like to ask if I can modify it in the script file of web_server to get the real-time signal collected. Can it implement a series of signal processing operations such as Fourier transform and denoising on the web page, because this framework is DASH and has not been touched before. So if I have any questions, please ask the engineer to answer them for me.

Hello engineer, the signal map I got after measuring the data in real time, the ordinate range is about -1.5-1.5. When I shut down the web server, executed the csv file after fft_scan the script file, and imported the first column of time data data into MATLAB, the graph obtained was very different from the real-time measurement, the amplitude was reduced by ten times, I changed the sampling frequency in the script file to the same as the sampling frequency monitored by the website, but the sample size was different, I wanted to ask why the difference between the waveform spectrum displayed after importing MATLAB and the website monitoring is so large.

@FaustoHello engineer, the signal map I got after measuring the data in real time, the ordinate range is about -1.5-1.5. When I shut down the web server, executed the csv file after fft_scan the script file, and imported the first column of time data data into MATLAB, the graph obtained was very different from the real-time measurement, the amplitude was reduced by ten times, I changed the sampling frequency in the script file to the same as the sampling frequency monitored by the website, but the sample size was different, I wanted to ask why the difference between the waveform spectrum displayed after importing MATLAB and the website monitoring is so large.

Hello@FaustoI now close the control panel applet,Only open the web server,The signal curve can be depicted,Then I pause the web server,Run continuous_scan.py this script file,There seems to be a problem with the operation,I don't understand what the reason is,Is the web server in the open state,And then to execute this script to succeed? I also have a question about how I can transfer the curves to my computer and analyze them in software.

Hello Technical Engineer, I am now facing a hardware problem about the MCC 172 DAQ HAT, because I am new to the hardware, this is a project task, I need to use it to measure the vibration signal when the bearing is rotated. Our laboratory used a good data logger, pressure sensor and accelerometer, which are all magnetic and adsorbed at the position that needs to be measured. But I never got to know the sensor in depth, and I didn't know which one to choose to connect with the MCC 172. I saw an article before, it uses 805-0500 TO5-3 accelerometer, I bought it back and found that it can't be measured, I have set up this aspect of the environment, and the web server can enter normally, but after clicking 'start', there is no map, and the signal cannot be collected. Later, I found out that the power supply voltage of this accelerometer is more than 18V, and the power supply of Raspberry Pi is 3.3V-5V. I would like to ask if you can help me solve this problem and provide me with a specific model of accelerometer, or a sensor with it, thank you very much!