Experiment Scenario 1 Introduction Recently, I have been deeply studying the “Do It Yourself” experiments in the new textbook on “Electromagnetic Induction” to explore the relationship between the drop height of a magnet and the maximum induced current in a coil. The first time I used the maximum reading of a DC ammeter to represent … Read more
On the eve of the Lunar New Year, the microcontroller enthusiast explored the relationship between capacitor charge and voltage using the ESP32 and Phyphox, obtaining a graph of the relationship between capacitor charge and voltage, with satisfactory experimental results. The source code for the capacitor charging and discharging experiment, previously created, was burned into the … Read more
Follow us 👆 on WeChat, reply "python" to get the beginner tutorial! Source from the internet, please delete if infringed. The editor has compiled 16 beginner books for friends who are new to Python, including the “Python Three Musketeers” and others, which are bestsellers in the programming community for many years and are chosen by … Read more
In the wave of smart manufacturing, PLCs, as the core of industrial control, are deeply integrated with IoT technology, giving rise to a new production model. This article will introduce how to utilize Siemens S7-1200 PLC and related IoT technologies to create an efficient and flexible smart manufacturing solution. We will explore key aspects such … Read more
In data modeling, regression analysis is one of the most fundamental yet crucial tools.The Regression Learner App in MATLAB provides a way to perform regression modeling without writing complex code, through an interactive interface. Whether you need to quickly explore models or fine-tune parameters, this application can meet your needs. If you want to efficiently … Read more
Kernel Density Estimation (KDE) was first proposed by Rosenblatt and Parzen. Unlike parametric methods that assume a specific distribution and parameters in advance, this method estimates the probability distribution of indicators directly from the given data sample, thus it belongs to non-parametric methods. This method is commonly applied to estimate the probability density of random … Read more
Creating a Bar Graph Combined Graph Author: Li Zhi, Eighth Galaxy Contact Email: [email protected] Precipitation Bar Chart clear;clc % Precipitation Bar Chart subplot(2,1,1)% Group chart 2 rows 1 column first chart x1=xlsread('Temperature_Precipitation.xlsx','Date','A2:A366');% Read x-axis y1=xlsread('Temperature_Precipitation.xlsx','Precipitation','A2:A366');% Read y-axis bar(x1,y1,1)% Draw bar chart ylabel('mm')% y-axis label axis([0,365,-1,10]) % Set axis size text(20,8,'Test','fontname','Times New Roman','fontsize',12,'fontweight','bold')% Set title parameters … Read more
After years of industry accumulation and strong support from a powerful R&D team,Yuan Zheng has taken the lead in the diagnostic industry by launching intelligent diagnostics, quickly diagnosing vehicles by obtaining data from the server through methods such as capturing license plates and reading VIN codes. Compared with traditional diagnostics,intelligent diagnostics are faster Intelligent diagnostics … Read more
Discrete manufacturing is an important field of industrial automation, encompassing a wide range of applications from automotive assembly to electronics production. The PLC (Programmable Logic Controller), as the core control device in this field, is continuously innovating and evolving. Today, let’s discuss the latest applications of PLC in discrete manufacturing and how to leverage these … Read more
Hi, friends! Today I’m going to take you on a super practical journey of learning Python. This time, we will explore how to embed Python into industrial control systems, which is like giving the factory production line a pair of “smart eyes” and a “smart brain” to monitor equipment status in real-time and quickly diagnose … Read more