Abstract: Electrorheological fluids (ERFs) are a novel type of intelligent soft matter that rapidly undergoes liquid-solid phase transitions under an applied electric field, showing broad application prospects in electromechanical engineering. This paper comprehensively discusses an electrorheological networked remote detection and control system built using NI virtual instruments, detailing the system's structure, functions, and implementation process. It is a parallel and open research and teaching experimental platform capable of detecting, analyzing, and controlling mechanical, electrical, and thermodynamic quantities. Keywords: LabVIEW, Electrorheological fluid, Electromagnetic drive, Electrorheological fluid, Remote measurement and control Introduction Electrorheological fluids (ERFs) are a new type of intelligent soft matter whose apparent viscosity, yield stress, etc., have a deterministic causal relationship with the applied electric field, shear rate, etc. ERFs possess high-tech characteristics such as reversibility of liquid-solid phase transitions, continuous controllability, rapid response, and low power consumption. Like semiconductor materials' impact on electronics, it will revolutionize electromechanical transmission and control technologies. This paper constructs a widely applicable and powerful electromechanical-hydraulic transmission experimental system using a current-ratio transmission device and an NI virtual instrument as the main transmission experimental device. Main Transmission Experimental Device As shown in Figure 1, the basic experimental unit and combined structure of electromechanical transmission (referred to as the "experimental unit disk") consists of a core (central circle) containing the current-ratio transmission mechanism and the NI virtual instrument measurement and control system, which constitute the main experiment. The second level (middle ring) represents single-subject experiments, and the third level (outer ring) represents comprehensive experiments. The rolling of this "experimental unit disk" can realize many different forms of transmission experiments, such as mechanical transmission, fluid transmission, electromagnetic transmission, piezoelectric transmission, and electromagnetic rheodynamic transmission. The device's detection and control system , ERF, is available in three types: inorganic, organic, and composite materials, each with different performance characteristics. The current-ratio transmission mechanism has different applications and therefore different control methods. Different operating parameters of the ERF result in different transmission characteristics. It is difficult to meet the measurement and control requirements of current-varying drive devices using conventional methods. This paper uses the NI virtual instrumentation system to construct a computer-based detection and control system, enabling the main drive mechanism to be controlled using LabVIEW software when it is used for different materials, operating conditions, applications, and different transmission forms. It also solves the problem of intelligent control required for ERF (Electronic Resonance Flow). As shown in Figure 2, it is necessary to detect speed, angle, voltage, current, temperature, and torque. The control system requires the stepper motor speed to change according to different waveforms, the speed of the speed-regulating motor to be controlled, and the electronic switch and voltage regulation of the high-voltage power supply (0-10kV) to be implemented. This system uses a PCI-MIO-16E-1 data acquisition card to acquire input and output torque, speed, angle, applied voltage, and temperature signals, and to control the applied voltage signal. The acquired signals are sent to the NI-4552 dynamic signal analyzer for analysis and processing. The stepper motor is controlled using a PCI-Flexmotion-6C motion control card, a UMI terminal block, and a PCI-5411 arbitrary waveform editor. Figure 3 shows the structure diagram of the current-varying measurement and control system. The mechanical properties of ERFs are complex, exhibiting characteristics of Newtonian fluids, Bingham fluids, viscoelastic fluids, and viscoplastic bodies under different conditions. A PCI-MIO-16E-1 data acquisition card was used to compare the output and input angle, velocity, and torque signals. A database and knowledge base was established using experiments and theory to understand the relationship between the rheological properties of the ERF, the mechanical parameters of the transmission device, and the electrical control signals. Interpretive reasoning was employed to modify the reference model, realizing changes in the control structure (i.e., the relationship between control voltage and mechanical quantities). This allowed the determination of control signal quantities (velocity of the electrovariable shear field, direction, amplitude, variation law, time, feedforward gain, etc.) from mechanical deviations. This intelligent control method based on virtual instruments overcomes the difficulties posed by the complex rheological mechanism and flow characteristics of ERFs. Since the electrovariable effect is on the order of milliseconds, the system sampling rate was set to 40,000 scans/s. To simulate the operating mechanism, the Waveform Editor of the PCI-5411 was used to generate signals of different waveforms to drive the stepper motor. Establishing a Networked Measurement and Control System The key to networked electromechanical transmission experiments is remote measurement and control technology. Here, a remote measurement and control scheme based on virtual instruments is adopted. The remote virtual measurement and control system consists of two parts: a hardware system and a software system. The hardware system structure is shown in Figure 4. In the case of remote measurement and control, the system's measurement, analysis, output, and control components are often spatially separated, making it difficult for a single computer to achieve real-time data acquisition and processing. Furthermore, as the environment and requirements constantly change, different tasks are presented to the system, which conventional measurement and control systems struggle to meet. The remote virtual measurement and control system effectively meets these requirements. Based on the corresponding hardware, it divides the system functions into corresponding functional modules and distributes them to different computers. Different tasks can be achieved by flexibly changing the system software modules, connecting the modules through a network and transmitting data between them. The software system is the crucial part of the remote virtual measurement and control system; all its functions are implemented through software, from data acquisition using sensors to data analysis. This system is primarily built using LabVIEW, developed by NI (National Instruments), a programming language often referred to as the "language of engineers and scientists." LabVIEW is a versatile graphical programming language that allows users to quickly build user interfaces and interconnected control systems, and to categorize system functions using assembly block diagrams. LabVIEW is powerful, accurate, fast, and has good real-time performance, while also being simple, intuitive, and easy to learn, providing an excellent development platform for engineers to build the necessary measurement and control systems. Remote measurement and control of virtual instruments can be achieved using different technologies depending on the situation. NI's DataSocket (DS) and Remote Device Access (RDA) technologies can both be used effectively; this system uses DS technology. Operation of the entire remote virtual measurement and control system can be performed on the client machine. System management primarily addresses security and confidentiality issues. The server management program includes functions such as consultation services, login application, authentication, experimental plan review, time allocation, and experimental report review. Administrators and users (students) can communicate interactively. Practice and Results A complete electrorheological networked measurement and control system was built using NI virtual instruments. This system is a widely applicable, powerful, open, parallel, and resource-sharing research and teaching experimental platform. Teachers, trainees, graduate students, and undergraduates can conduct various research and teaching experiments on this system. Complex experiments can be performed simply by programming on a computer, greatly shortening development time and reducing costs, achieving excellent results. Figure 5 shows the response curves of the transmission system's output torque and rotation angle when inputting a step voltage. Figure 6 shows the curves of the system's recognition using artificial neural networks with data collected by this system as learning samples.