Edge computing and multi-modal based ideal gas experiment method and system

Abstract

The application discloses a kind of ideal gas experiment methods and systems based on edge computing and multi-modal intelligent connection, it is related to physical experiment teaching instrument and Internet of Things cross technical field.The system includes: integrated printed circuit board, edge computing host module, industrial grade digital sensing module, power management module, safety protection module, multi-modal interaction module and embedded Web service module;Integrated printed circuit board is the integrated carrier of ideal gas experiment system based on edge computing and multi-modal interaction, and is arranged in the form of strong and weak electricity separation;Edge computing host module, as the core of edge computing, runs heat management logic at the firmware layer, and pre-processes the collected data;Industrial grade digital sensing module is used to collect pressure and temperature data of gas;Power management module is used to realize automatic switching and anti-backflow of power supply.The application improves the flexibility of experimental interaction while improving the efficiency of experiment.

Description

Technical Field

[0001] This application relates to the field of physics experimental teaching instruments and the Internet of Things, and in particular to an intelligent ideal gas experimental method and system based on edge computing and multimodal operation. Background Technology

[0002] Existing ideal gas experimental apparatuses (such as the ZKY-PC0001 model) typically adopt a split, offline architecture, mainly consisting of a gas law experimental body (e.g., a graduated glass tube and piston), an independent digital thermometer, an independent digital pressure gauge, and a DC power supply.

[0003] Existing ideal gas experimental setups suffer from rigid hardware connectivity, lacking interactivity and portability. These setups are either completely offline or heavily reliant on dedicated wired data acquisition devices and specific PC-based host computer software. This fixed architecture leads to complex wiring and severe limitations imposed by laboratory computer configurations. Data silos are rampant, and the equipment's post-processing capabilities are virtually nonexistent: due to the lack of intelligent data processing modules, the equipment only provides basic real-time numerical display functions. During operation, experimenters not only need to manually record discrete data scattered across various independent instruments but also expend considerable effort on tedious manual data post-processing after the experiment. The equipment's failure to share data processing workload through intelligent means results in experimenters wasting a significant amount of time on inefficient, mechanical labor, severely deviating from the core experimental objective of exploring physical laws.

[0004] Existing ideal gas experimental apparatus systems have a closed architecture and lack multi-terminal interactivity and automated data processing capabilities, resulting in a heavy data processing burden for experimenters and limited experimental scenarios. Summary of the Invention

[0005] Therefore, it is necessary to provide an intelligent connected ideal gas experimental method and system based on edge computing and multimodal operation to address the aforementioned technical problems. This invention improves experimental efficiency while enhancing the flexibility of experimental interaction.

[0006] The following technical solution is adopted in this specification: This specification provides an intelligent connected ideal gas experimental method based on edge computing and multimodal computing, including: The power supply module automatically arbitrates the power supply mode when the intelligent ideal gas experimental system based on edge computing and multimodal interaction is powered on. An embedded web server is built and a hotspot is established through the edge computing main control module. Users can access the intelligent ideal gas experimental system based on edge computing and multimodal interaction by scanning a code on a mobile terminal or PC. Gas pressure and temperature data are collected in real time using an industrial-grade digital sensing module; The edge computing main control module reads gas pressure and temperature data at a fixed frequency, and uses a moving average filtering algorithm to clean the gas pressure and temperature data and remove outliers. By using PID or PWM intelligent thermal management logic in the edge computing main control module, the fan PWM duty cycle is dynamically adjusted based on the collected temperature data to achieve proactive management of the internal thermal environment of the instrument. Experimental operations are performed through the terminal web interface, and tactile, visual, and auditory multimodal feedback is intelligently switched or combined according to the laboratory scenario and urgency level to complete parameter adjustment and data acquisition for isothermal, isochoric, or isobaric experiments. After the experimental data acquisition is completed, the terminal front-end JavaScript engine calls the least squares engine to achieve linear fitting of the experimental data in seconds, automatically calculate the key experimental parameters, and draw dynamic interactive fitting curves. Based on the dynamic interactive fitting curve and the original collected data, an experimental report is generated. The experimental report includes the experimental principle, original data, fitting curve, and error analysis blank module. The experimental report is then sent to the Learning Management System (LMS) smart teaching platform.

[0007] Optionally, the method further includes: During the experiment, when the gas temperature is greater than or equal to the preset temperature threshold, an early warning will be issued through the terminal-level alarm unit in the safety protection module.

[0008] This manual provides an intelligent ideal gas experimental system based on edge computing and multimodal operation, including: an integrated printed circuit board, an edge computing main control module, an industrial-grade digital sensing module, a power management module, a safety protection module, a multimodal interaction module, and an embedded World Wide Web service module; The integrated printed circuit board serves as the integrated carrier for an intelligent ideal gas experimental system based on edge computing and multimodal interaction, and is laid out using a strong and weak current separation method. The edge computing main control module is used to read the gas pressure and temperature data collected by the industrial-grade digital sensing module at a fixed frequency, preprocess the collected gas pressure and temperature data, and run thermal management logic in the firmware layer. The industrial-grade digital sensing module is used to collect real-time gas pressure and temperature data after the various types of terminals without an application (APP) are connected to the Smart Ideal Gas Experiment System in BYOD mode. The power management module is used to automatically switch power supplies and prevent backflow after the intelligent ideal gas experimental system is powered on. The safety protection module includes triple safety protection, which is used to issue an early warning through the terminal-level alarm unit in the safety protection module when the gas temperature is greater than or equal to the preset temperature threshold during the execution of the intelligent ideal gas experiment. The triple safety protection includes a hardware-level self-resetting fuse, a firmware-level PWM intelligent temperature control algorithm, and a terminal-level WebSockets / Ajax real-time telemetry alarm unit. The embedded web service module, built on ESP32-S3, supports BYOD (Bring Your Own Device) mode access to the Smart Ideal Gas Experiment System for various types of terminals without applications (APP), enabling real-time transmission and interaction of experimental data.

[0009] Optionally, the integrated printed circuit board adopts an electromagnetic compatibility (EMC) partitioned layout and a star or T-ground topology; The integrated printed circuit board is divided into a power zone and a quiet zone; the power zone houses the fan interface, MOSFETs, and buzzer; the quiet zone houses the main controller and sensors; the quiet zone minimizes the routing of I2C or UART signals between integrated circuits. The power zone and the silent zone are separated by a ground plane or by a physical distance, and the power circuit ground wire and the signal circuit ground wire only meet at a single point at the power input.

[0010] Optionally, the edge computing main control module is an ESP32-S3 high-performance dual-core microcontroller, which is used to read the pressure and temperature data of the gas in the industrial-grade digital sensing module at a fixed frequency, establish a queue of preset length to remove outliers, run a moving average filtering algorithm, proportional-integral-derivative PID or pulse width modulation PWM intelligent thermal management logic at the firmware layer, and independently realize gas pressure and temperature data cleaning, temperature control adjustment and edge-side decision-making. The PID or PWM intelligent thermal management logic dynamically adjusts the PWM duty cycle based on the internal temperature of the chip.

[0011] Optionally, industrial-grade digital sensing modules include the WF183DE integrated barometric pressure or temperature module and the RTD101E high-precision temperature transmitter module. The WF183DE integrated pressure or temperature module is used to collect gas pressure and temperature data.

[0012] Optionally, the power management module has a dual-power supply architecture; The power management module includes a DC-012 power interface, a USB Type-C interface, and an automatic power switching and isolation module; The power management module is used to achieve automatic power switching and backflow prevention, and to cut off the high-power load circuit of the fan when the USB Type-C interface is powered.

[0013] Optionally, the power management module also includes transient protection circuitry for inductive loads; Transient protection circuits for inductive loads include source suppression protection and path isolation protection; Source suppression protection involves connecting a current-limiting resistor in series with the gate of the fan-driven MOSFET to slow down the switching speed and reduce voltage spikes. Path isolation protection is used to completely separate the return ground wires of fans and buzzers from the signal ground wires of main controllers and sensors at the PCB physical level, and only reunite them at a single point at the power input.

[0014] Optionally, the security protection module may also include a terminal-level alarm unit; When the terminal-level alarm unit detects that the gas temperature exceeds 100°C, it triggers the red flashing of the temperature value on the terminal interface, while the device buzzer sounds and the firmware layer forcibly cuts off the heating control signal.

[0015] Optionally, the intelligent connected ideal gas experimental system based on edge computing and multimodal interaction also includes a multimodal interaction module; The multimodal interaction module is used to adaptively switch feedback modes for different terminals. When the Android mobile terminal triggers intermittent pulse-type silent vibration, the iOS or PC terminal will start the screen with high-frequency red flashing, and a reserved selectable weak prompt sound switch is off by default. The multimodal interaction module is used to build a multi-channel information output channel that integrates touch, vision, and hearing based on the HTML5 Vibration API and CSS3 animation technology.

[0016] The above-mentioned technical solutions adopted in this specification can achieve the following beneficial effects: Compared with existing technologies, the intelligent connected ideal gas experimental system and method based on edge computing and multimodal computing provided by this invention have at least the following beneficial effects: This invention includes: an integrated printed circuit board, an edge computing main control module, an industrial-grade digital sensing module, a power management module, a security protection module, a multimodal interaction module, and an embedded Web service module. The industrial-grade digital sensing module is used to collect gas pressure and temperature data in real time after the embedded Web service module connects to the intelligent ideal gas experimental system. The edge computing main control module is used to read the gas pressure and temperature data collected by the industrial-grade digital sensing module at a fixed frequency, preprocess the collected data, and run thermal management logic at the firmware layer. The embedded Web service module, built with ESP32-S3, supports BYOD (Bring Your Own Device) mode for multiple types of terminals without applications (APP) to connect to the intelligent ideal gas experimental system, and is used to realize the real-time transmission and interaction of experimental data.

[0017] The intelligent ideal gas experimental system based on edge computing and multimodal design of this invention improves the problems of complex wiring, limited deployment and single interaction mode of existing experimental systems, thereby improving the interactive flexibility of the experimental device. This invention introduces an automated data processing mechanism, which can complete post-processing work such as experimental data processing, curve generation, parameter calculation and result output during the experiment, thereby reducing human error and improving the efficiency of experimental implementation.

[0018] In summary, the intelligent ideal gas experimental system based on edge computing and multimodal computing constructed in this invention improves experimental efficiency while enhancing the flexibility of experimental interaction. Attached Figure Description

[0019] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0020] Figure 1 A simplified diagram of the intelligent connected ideal gas experimental system based on edge computing and multimodal interaction provided by this invention; Figure 2 This is the system hardware block diagram provided in this specification; Figure 3 This is a schematic diagram of the intelligent connected experimental system prototype provided by this invention; Figure 4 This document provides a schematic diagram of an experimental method for intelligent connected ideal gas based on edge computing and multimodal interaction. Figure 5 The software flowchart provided for this invention; Figure 6 This is a schematic diagram of terminal login provided by the present invention; Figure 7 A schematic diagram of the buttons for performing experimental data analysis and processing and generating experimental reports provided by the present invention; Figure 8 The interface diagram of the generated experiment report provided by this invention; Figure 9 This is a schematic diagram of the data processing results provided by the present invention; Figure 10 This invention provides an interface for saving or printing generated experimental reports, as well as for returning data to the experiment without loss and supplementing experimental data. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this specification clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments in this specification without creative effort are within the scope of protection of this application.

[0022] Ideal gas law ( pV=nRT This is the core content of thermal experiments. p This indicates the pressure of the gas under study. V It corresponds to the volume of the gas. n It represents the amount of gaseous substance being studied. R The universal constants of an ideal gas. T This indicates the temperature of the gas under study. It usually includes verifications of Boyle's law (isothermal), Charles's law (isochoric), and Gay-Lussac's law (isobaric).

[0023] Existing technologies (such as the traditional ZKY-PTF0100 experimental instrument) typically use analog output piezoresistive pressure sensors in conjunction with independent digital instruments for measurement. This not only suffers from poor sensor linearity and significant susceptibility to ambient temperature (severe temperature drift), leading to large deviations between experimental and theoretical values, but also requires students to manually read instrument readings, record data, and plot curves during experiments. This process is time-consuming, inefficient, and prone to failure due to human error such as parallax or calculation errors. Furthermore, existing devices lack proactive safety warning mechanisms when heating sealed gases; operational errors leading to temperature runaway can easily cause container explosions or equipment damage. Additionally, traditional digital experimental systems rely on dedicated data acquisition units and PC-based host computer software, resulting in complex connections that cannot meet the needs of experiments conducted using Bring Your Own Device (BYOD) in the mobile internet and artificial intelligence era.

[0024] Based on the aforementioned shortcomings, the core technical problem this invention aims to solve is: how to provide an ideal gas experimental system with strong interactivity, high portability, and the ability to autonomously undertake data acquisition and post-processing, thereby addressing the issues of rigid terminal access, limited interaction methods, scattered and isolated experimental data, and lack of automated post-processing capabilities in existing ideal gas experimental devices. Furthermore, this invention aims to construct an experimental technology solution integrating experimental data acquisition, edge processing, multi-terminal interaction, and result feedback, enabling the experimental system to break free from dependence on dedicated wired acquisition devices and fixed host computers, supporting flexible access from various terminals such as smartphones, tablets, and computers; simultaneously, enabling the experimental system to uniformly manage, automatically process, and output data such as temperature, pressure, and volume acquired during the experiment, thus forming a complete closed-loop data processing mechanism. Through the above technical solution, this invention attempts to improve the interactivity, portability, integration, and intelligence level of the experimental system while maintaining the basic functions of ideal gas experiments, reducing the burden on experimenters in data recording, organization, and subsequent analysis, allowing experimenters to focus more on observing experimental phenomena and exploring physical laws.

[0025] This invention aims to solve the technical problems of existing experimental teaching devices for ideal gas equations of state, such as low measurement accuracy, low data processing efficiency, insufficient safety warning, and outdated interaction methods. It provides an experimental system for ideal gas equations of state that is highly integrated, has strong anti-interference capabilities, and supports seamless access from multiple terminals.

[0026] This invention breaks through the limitations of traditional teaching instruments that rely solely on host computers or separate module splicing. Based on the BYOD concept, it adopts a self-designed integrated printed circuit board (PCB) that highly integrates a high-performance microcontroller (ESP32-S3) and industrial-grade digital sensors (WF183DE air pressure / temperature integrated module and RTD101E high-precision temperature transmitter module).

[0027] Building upon this hardware, this invention innovatively introduces an edge computing architecture, utilizing microcontroller units (MCUs) as edge nodes to directly perform high-frequency filtering, outlier removal, and pulse width modulation (PWM) intelligent temperature control calculations on the device itself. This achieves millisecond-level response speeds and extremely high data reliability. Simultaneously, this invention reconstructs the human-computer interaction logic, constructing a multimodal interaction system that deeply integrates tactile (silent vibration), visual (screen flashing / dynamic charts), and auditory (buzzer alarm) feedback with a World Wide Web (Web) digital interface, solving the problems of limited information feedback and significant environmental interference in traditional experiments.

[0028] This invention not only establishes an intelligent pathway for the entire process from accurate data acquisition and wireless transmission to automated front-end analysis, but also provides a complete experimental teaching method that includes data fault tolerance (lossless return), automated analysis, and paperless workflow.

[0029] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0030] An intelligent ideal gas experimental system based on edge computing and multimodal operation is characterized by comprising: an integrated printed circuit board, an edge computing main control module, an industrial-grade digital sensing module, a power management module, a safety protection module, a multimodal interaction module, and an embedded World Wide Web service module.

[0031] The integrated printed circuit board serves as the integrated carrier for an intelligent ideal gas experimental system based on edge computing and multimodal interaction, and is laid out using a strong and weak current separation method.

[0032] The edge computing master control module is used to read gas pressure and temperature data collected by industrial-grade digital sensing modules at a fixed frequency, preprocess the collected gas pressure and temperature data, and run thermal management logic at the firmware layer.

[0033] The industrial-grade digital sensing module is used to collect real-time gas pressure and temperature data after various types of terminals (without apps) are connected to the Smart Ideal Gas Experiment System in BYOD mode.

[0034] The power management module is used to automatically switch power supplies and prevent backflow after the intelligent ideal gas experimental system is powered on.

[0035] The safety protection module includes triple safety protection. During the execution of the intelligent ideal gas experiment, when the gas temperature is greater than or equal to the preset temperature threshold, the terminal-level alarm unit in the safety protection module will issue an early warning. The triple safety protection includes a hardware-level self-resetting fuse, a firmware-level PWM intelligent temperature control algorithm, and a terminal-level WebSockets / Ajax real-time telemetry alarm unit.

[0036] The embedded web service module, built on ESP32-S3, supports BYOD (Bring Your Own Device) mode access to the Smart Ideal Gas Experiment System for various types of terminals without applications (APP), enabling real-time transmission and interaction of experimental data.

[0037] Specifically, this invention abandons the traditional modular splicing method and adopts a self-designed, highly integrated, and highly stable dedicated printed circuit board (PCB) as a carrier to deeply integrate the multi-dimensional gas-liquid parameter acquisition front end with the main control edge computing core, thereby realizing the leap from the modular prototype to the industrial-grade single-board material.

[0038] Figure 1 A simplified diagram of the intelligent connected ideal gas experimental system based on edge computing and multimodal interaction provided by this invention is shown below. Figure 1 As shown, the intelligent ideal gas experimental system based on edge computing and multimodal interaction includes an edge computing main control module, an industrial-grade digital sensing module, a power management module, a safety protection module, a multimodal interaction module, and an embedded Web service module, all integrated on an integrated printed circuit board.

[0039] Based on a 2-layer PCB design, the ESP32-S3 main control module, WF183DE integrated barometric pressure / temperature sensor interface, RTD101E digital temperature transmitter interface, AO3400 MOSFET driver circuit, active buzzer, and power management module (including a 470μF filter capacitor array and a resettable PPTC fuse) are all integrated onto a single circuit board, completely eliminating the risk of poor contact and loosening caused by DuPont wire connections.

[0040] This invention constructs a triple security protection network: (1) Hardware level: power supply anti-backflow circuit and self-resetting fuse.

[0041] (2) Firmware level: Intelligent temperature control algorithm based on PWM, which automatically adjusts the fan speed according to the internal temperature of the chip returned by the sensor (e.g., full speed when >28℃, stop when <20℃).

[0042] (3) Terminal level: Real-time telemetry based on WebSockets / Ajax, triggering terminal alarm when the temperature exceeds 100℃.

[0043] Innovative effects: This system enables proactive management of the internal thermal environment of the instrument, effectively suppressing fan noise and electromagnetic interference, and providing remote real-time early warnings via user-owned terminal devices in case of abnormally high temperatures, ensuring absolute safety in experimental teaching.

[0044] In an exemplary embodiment, the integrated printed circuit board adopts an electromagnetic compatibility (EMC) partitioned layout and a star or T-type grounding topology; the integrated printed circuit board is divided into a power zone and a quiet zone; the power zone houses the fan interface, metal-oxide-semiconductor (MOS) transistor, and buzzer; the quiet zone houses the main controller and sensors; the quiet zone shortens the routing of inter-integrated circuit (I2C) or universal asynchronous receiver / transmitter (UART) signals; the power zone and the quiet zone are separated by a ground plane or a physical distance to form an isolation zone, and the power loop ground wire and the signal loop ground wire only converge at a single point at the power input.

[0045] Specifically, this invention uses a self-designed integrated printed circuit board (PCB) as the carrier. In terms of PCB layout, the electromagnetic characteristics of different modules are fully considered, and the principle of separating strong and weak currents is strictly adhered to.

[0046] Power Zone (Right Wing): Fan interfaces, MOSFETs, and buzzers are centrally located, away from sensitive components. Quiet Zone (Left Wing): The ESP32 main controller, WF183DE, and RTD101E sensors are centrally located, with I2C / UART signal traces minimized. Isolation Strip: The power zone and quiet zone are separated by a ground plane or physical distance to minimize crosstalk from electromagnetic radiation to weak sensor signals.

[0047] Specifically, to address the issue of back electromotive force interference from fan start-up and shutdown affecting high-precision sensors, the PCB layout strictly adheres to the principle of separating strong and weak currents: Partitioned layout: The fan power area on the right is physically isolated from the sensor signal area on the left. Star / T-type grounding: Ground line segmentation technology is employed, with the power circuit ground (Power GND) and signal circuit ground (Signal GND) converging only at a single point at the power input, avoiding common ground impedance coupling interference. Combined with a large-area onboard copper plating, this ensures the long-term stability and consistency of the WF183DE and RTD101E sensor data.

[0048] This architecture achieves physical layer decoupling between the power circuit (fan) and the signal circuit (sensor), effectively suppressing the back electromotive force interference generated by the start and stop of inductive loads, ensuring the metrological-grade measurement accuracy of the WF183DE (barometric pressure) and RTD101E (temperature) digital sensors under all operating conditions, while eliminating the risk of USB port overload and ensuring the stability of the system's long-term operation.

[0049] In an exemplary embodiment, the edge computing main control module is an ESP32-S3 high-performance dual-core microcontroller, used to cyclically read the pressure and temperature data of the gas in the industrial-grade digital sensing module at a fixed frequency, establish a queue of preset length for outlier removal, run a moving average filtering algorithm, proportional-integral-derivative PID or pulse width modulation (PWM) intelligent thermal management logic at the firmware layer, and independently realize gas pressure and temperature data cleaning, temperature control adjustment and edge-side decision-making; the PID or PWM intelligent thermal management logic dynamically adjusts the PWM duty cycle according to the internal temperature of the chip.

[0050] In one exemplary embodiment, the industrial-grade digital sensing module includes a WF183DE integrated pressure or temperature module and an RTD101E high-precision temperature transmitter module; the WF183DE integrated pressure or temperature module is used to collect gas pressure and temperature data.

[0051] Specifically, the fixed frequency is set according to engineering practice; for example, the fixed frequency is set to 10Hz.

[0052] The MCU reads sensor data cyclically at a frequency of 10Hz and runs a moving average filter algorithm in the firmware layer. The system automatically establishes a first-in-first-out (FIFO) queue of length 10 to eliminate outliers caused by transient circuit fluctuations in real time, ensuring that the data uploaded to the web is smooth and accurate. The firmware has a built-in PID / PWM temperature control algorithm that monitors the chip's internal ambient temperature (Tchip) returned by the WF183DE in real time and dynamically adjusts the PWM duty cycle of the GPIO output accordingly: high-temperature rapid cooling zone (T>28℃): 100% duty cycle output for full-speed heat dissipation; comfort cruising zone (20℃≤T≤28℃): approximately 70% duty cycle output to balance noise and airflow; low-temperature silent zone (T<20℃): forced fan shutdown (0% duty cycle) for ultimate quietness and energy saving. This logic is executed entirely in a closed loop at the edge, so the temperature control protection remains effective even if the WiFi connection is lost.

[0053] The device has a built-in high-performance dual-core MCU as the edge computing core, which does not rely on the computing power of an external host computer. It runs the moving average filtering algorithm and PID / PWM intelligent thermal management logic directly in the microcontroller firmware layer. At the same time, it integrates the JavaScript least squares engine and DOM (Document Object Model) state preservation technology on the browser side (front end).

[0054] Innovation effect: (1) Extreme system robustness and security: Thanks to the edge-side decision-making mechanism, the system achieves millisecond-level temperature control response and data cleaning, effectively avoiding the control lag risk caused by network latency. Even under extreme conditions such as WiFi signal fluctuations or unexpected network outages, the device can still independently maintain high-precision constant temperature control and active safety protection, ensuring the inherent safety of the experimental process and the accuracy of the source data.

[0055] (2) Zero-latency data analysis and high fault-tolerant interaction: The experimental data was linearly fitted in seconds through front-end computing power (directly outputting R2 and slope), eliminating the waiting time for data to be sent back to the cloud for processing. More innovatively, the lossless return and breakpoint resume functions based on DOM state preservation technology completely solve the pain point of traditional digital experiments where all data is lost due to a single misoperation, greatly reducing the trial and error cost for students and ensuring the integrity and continuity of experimental data.

[0056] In one exemplary embodiment, the power management module includes a DC-012 power interface, a USB Type-C interface, and a power automatic switching and isolation module; the power management module is used to realize automatic power switching and backflow prevention, and to cut off the high-power load circuit of the fan when the USB Type-C interface is powered.

[0057] Specifically, the system features a dual-power supply architecture: a DC-012 power interface (main power, 5V / 3A) and a USB Type-C interface (auxiliary power / firmware upgrade). Automatic switching and backflow prevention mechanisms are implemented: the circuit incorporates power arbitration logic based on a Schottky diode. When a DC power adapter is plugged in, the diode conducts, and the system is powered by the adapter, directly driving the cooling fan through a high-current path. When only the USB port is plugged in for debugging or firmware upgrades, the unidirectional conductivity of the diode provides physical isolation, cutting off the 5V power supply circuit to the fan. This design effectively prevents the risk of motherboard overload or burnout caused by the USB port driving a high-power inductive load (fan).

[0058] Specifically, to address the dual power supply requirements of the experimental setup, an automatic power switching and isolation circuit based on a Schottky diode (1N5822) was designed: DC priority and power isolation: When the DC-012 adapter (5V / 3A) is connected, the diode conducts, the system is powered by the adapter, and the fan drive circuit is activated; USB safety protection: When power is supplied only through the USB Type-C interface (such as when connecting to a computer for debugging), the unidirectional conductivity of the diode is used to physically block the power supply, automatically cutting off the power supply circuit to the high-power fan, preventing the USB port from burning out due to overload driving inductive loads, thus achieving hardware-level active safety protection.

[0059] In an exemplary embodiment, the power management module further includes an inductive load transient protection circuit; the inductive load transient protection circuit includes source suppression protection and path isolation protection; the source suppression protection uses a current-limiting resistor connected in series with the gate of the fan drive MOSFET to slow down the switching speed and reduce voltage spikes; the path isolation protection is used to completely separate the return ground of the fan and buzzer from the signal ground of the main controller and sensors at the PCB physical level, and only converge at a single point at the power input.

[0060] Specifically, to address the extremely high back electromotive force (Back EMF) and transient surge current generated by the internal coil due to electromagnetic induction during fan start-up and shutdown, this invention designs a multi-level protection network: Level 1 protection (source suppression): A current-limiting resistor is connected in series with the gate (G) of the fan-driven MOSFET (AO3400) to slow down the switching speed and reduce voltage spikes caused by di / dt.

[0061] Secondary protection (path isolation): A T-topology and star grounding routing strategy are adopted. The power ground of dirty loads such as fans and buzzers is completely separated from the signal ground of the main control and sensors at the PCB physical level, and they only converge at a single point at the power input.

[0062] In one exemplary embodiment, the security protection module may optionally include a terminal-level alarm unit; the terminal-level alarm unit, when detecting that the gas temperature exceeds 100°C, triggers the terminal interface temperature value to flash red, while the device buzzer sounds and the firmware layer forcibly cuts off the heating control signal.

[0063] In an exemplary embodiment, the intelligent ideal gas experimental system based on edge computing and multimodal interaction further includes a multimodal interaction module; the multimodal interaction module is used to adaptively switch feedback modes for different terminals. When an Android mobile terminal triggers intermittent pulse-type silent vibration, an iOS or PC terminal will start a high-frequency red flashing of the screen, and a reserved selectable weak prompt sound switch is turned off by default; the multimodal interaction module is used to construct a multi-channel information output channel for touch, vision, and hearing based on HTML5 Vibration API and CSS3 animation technology.

[0064] Specifically, based on the BYOD concept, the system utilizes the HTML5 Vibration API and CSS3 animation technology to design a multimodal information output channel that includes haptic feedback (silent vibration), visual enhancement (high-frequency red flashing on the screen / dynamic charts), and auditory alarms (buzzer), catering to the characteristics of different terminals such as iOS, Android, and PC. This mechanism can intelligently switch or combine multiple sensory channels to convey information based on the laboratory scenario (such as the need for silence) and the level of urgency (such as the danger of overheating), designing a non-intrusive reminder mechanism that significantly improves interaction efficiency and user experience.

[0065] For multi-person laboratory environments, the system integrates an intelligent timed reminder algorithm on the web page and has been deeply adapted to the characteristics of different terminals based on the BYOD concept: Anti-interference strategy: Abandoning the traditional single ringtone reminder, non-auditory feedback methods are preferred.

[0066] Multi-terminal adaptive adaptation: Android mobile app: Call the HTML5 Vibration API to trigger intermittent strong vibrations on the device (pulse mode: 800ms vibration - 300ms pause) to achieve a silent reminder in your pocket.

[0067] iOS / PC: For devices that do not support webpage vibration, automatically enable screen visual alerts, display a high-frequency red flashing animation in the countdown area, and provide an optional switch for a faint alert sound (off by default).

[0068] The system establishes a two-way secure IoT link. When the edge sensor detects that the internal gas temperature exceeds the 100°C threshold: On the device side (lower-level computer): the hardware buzzer immediately sounds, and the firmware forcibly cuts off the heating control signal. On the terminal side (upper-level computer): using a WebSocket / Ajax polling mechanism, the temperature value on the web interface immediately flashes a red highlight alarm via CSS3 animation, ensuring that even if students are not near the instrument, they can be informed of the danger status immediately through their control terminals.

[0069] Innovative Effect: This design abandons the simple buzzer noise alert, innovatively combining silent pulse vibration on Android devices with high-frequency screen flashing on iOS / PC devices. This approach ensures effective communication of information (such as countdown completion or overheating) while maximizing the quiet teaching environment in multi-person laboratories, reflecting a people-oriented design philosophy.

[0070] This invention relates not only to hardware devices but also to a set of data processing and teaching evaluation methods. These methods encompass everything from bottom-level fault-tolerant data acquisition (supporting breakpoint resumption and lossless return), to mid-level least-squares edge fitting, and finally to top-level standardized PDF report generation and integration with mainstream cloud-based online education platforms. This method constructs a complete paperless teaching loop, achieving traceability and tamper-proofing of the experimental process.

[0071] Innovative Results: It breaks down the data barriers between offline experimental operations and online course evaluation, achieving a paperless and tamper-proof process from raw data collection to assignment submission, providing a brand-new technical path for the digital teaching reform of physics experiments in universities.

[0072] In one exemplary embodiment, the present invention provides Figure 2 The system hardware block diagram shown is as follows: Figure 2 As shown, the basic logic of the system's circuit board design can be seen from the power management module (labeled 6): it is usually powered by a DC-012 power interface, where: the 5V power supply in the power zone provides power to the cooling fan module (labeled 5) of the experimental chamber; in the quiet zone: the main controller and sensors are located, with a voltage regulator circuit providing 3.3V to drive the main controller module (labeled 1), the gas pressure sensor module under study (labeled 2, this module has an internal chip temperature detection to compensate for the temperature of the gas pressure and ensure the accuracy of the gas pressure measurement), the gas temperature sensor module under study (labeled 3), and the direct... The interactive window OLED display module (labeled 4), modules 2 and 3 collect the gas pressure and temperature data under study, as well as the chip temperature data of module 2, and transmit them to the main control module 1 via the UART communication protocol. Module 1 drives the OLED module to display the gas pressure and temperature data in real time via the I2C protocol. At the same time, user terminal devices (mobile phones, tablets, laptops) obtain the gas pressure and temperature data held by the main control module 1 via HTTP requests. In addition, the main control module 1 uses PWM to control the MOSFET to start, stop, or adjust the speed of the fan module 5 based on the chip temperature data from module 2. Figure 1 Seeing this star-shaped power supply wiring, to prevent interference between modules; and to prevent USB from powering the fan and burning out the computer interface if the device firmware is upgraded one day, an automatic power switching and isolation circuit based on a Schottky diode (1N5822) was designed.

[0073] Figure 3 The following is a schematic diagram of the prototype of the intelligent experimental system provided by the present invention: (a) Figure shows the intelligent experimental system, and (b) Figure shows the experimental apparatus for the laws of gases.

[0074] The technical effects of this invention include: (1) High precision and high linearity: Experimental measurements verified that the linear fit R² of Boyle's law can reach 0.9997. The system can automatically and accurately calculate the zero difference in system volume based on the measured data. V 0) and the amount of gaseous substance ( n ).

[0075] (2) Extreme convenience: "It comes with its own hotspot and can be used by scanning the code", which solves the problems of complex laboratory network environment and inconsistent student equipment.

[0076] (3) Teaching depth: Not only can it verify the laws, but it can also demonstrate the data processing process (such as linear regression) through the front-end code, realizing the interdisciplinary integration of physics and information technology teaching.

[0077] (4) Robustness: The unique hardware and software anti-interference design (filtering algorithm + circuit isolation) ensures data stability under high voltage (>150kPa) and at the moment of fan start-up and shutdown.

[0078] (4) Extremely high integration and reliability: The use of self-developed PCB to replace the connection of loose components not only greatly reduces the size (making it easy to carry and display), but also reduces the failure rate of the system by more than 90% during long-term operation through on-board filtering and isolation design.

[0079] (5) User-Friendly: Whether it is the respect for the laboratory environment by "silent vibration reminder" or the tolerance for students' operational errors by "data lossless return", both reflect the people-oriented design concept and significantly improve the smoothness of experimental teaching.

[0080] (6) Active safety closed loop: It realizes full-link safety protection from the bottom hardware (diode isolation) to the upper software (terminal over-temperature alarm), effectively preventing equipment damage or safety accidents caused by misoperation.

[0081] (7) Constructing a paperless teaching loop throughout the entire process: Breaking through the limitations of the traditional "data silos" of experimental instruments, the system generates standardized PDF electronic reports and seamlessly connects to smart teaching platforms such as "Learning Pass," enabling students to submit assignments online that include real original data and analysis processes. This not only achieves a paperless process throughout the entire process of "experimental operation - data analysis - report submission - teacher grading," but also facilitates teachers in tracing students' original experimental data, effectively preventing academic misconduct such as data tampering, and significantly improving the digital management level of experimental teaching.

[0082] First, this invention establishes a multi-terminal access and interaction mechanism, enabling the experimental system to connect and interact with terminals such as smartphones, tablets, and computers. This overcomes the dependence of traditional ideal gas experimental devices on dedicated data acquisition units and fixed PC software, improving the problems of complex wiring, limited deployment, and limited interaction methods in existing systems, thereby enhancing the interactive flexibility and ease of use of the experimental device. Second, this invention unifies the collection, transmission, and management of multi-source data such as temperature, pressure, and volume generated during the experiment, changing the fragmented display and isolation of various experimental data in existing technologies. This effectively alleviates the problem of isolated experimental data and enables the experimental system to have continuous processing capabilities from data acquisition to result output. Third, this invention introduces an automated data processing mechanism at the device end or edge side, enabling post-processing tasks such as data organization, curve generation, parameter calculation, and result output during the experiment. This significantly reduces the burden of manual transcription, plotting, and subsequent calculations for the experimenter, reduces human error, and improves the efficiency of experimental data processing and experimental implementation.

[0083] Furthermore, this invention enables real-time feedback of experimental data, allowing experimenters to observe relevant trends and processing results during the experiment, facilitating timely adjustments to experimental operations and analysis of experimental status, and enhancing the continuity and interactivity of the experimental process.

[0084] Furthermore, this invention integrates functions such as sensing and data acquisition, data communication, edge processing, and terminal interaction, which helps to improve the overall integration, portability, and adaptability of the experimental device, making it particularly suitable for experimental teaching, demonstrations, and mobile applications.

[0085] In summary, this invention establishes an experimental architecture that combines multi-terminal interaction with automated data processing, constructing a data closed loop and an interaction closed loop in ideal gas experiments. This not only improves the intelligence and IoT capabilities of the experimental system, but also helps to liberate experimenters from inefficient, mechanical data processing work, allowing them to focus more on the exploration and understanding of the physical laws themselves.

[0086] Figure 4This is a schematic diagram of an experimental method for intelligent connected ideal gas based on edge computing and multimodal computing, as described in this specification. The method specifically includes the following steps: S401: Controls the power-on of the intelligent ideal gas experimental system based on edge computing and multimodal interaction, and the power management module completes the automatic arbitration of the power supply mode.

[0087] S402: An embedded web server is built and a hotspot is established through the edge computing main control module, and the intelligent ideal gas experimental system based on edge computing and multimodal interaction can be accessed by scanning a code on a mobile terminal or PC. S403: Real-time acquisition of gas pressure and temperature data via industrial-grade digital sensing modules.

[0088] S404: The edge computing main control module reads gas pressure and temperature data at a fixed frequency, and completes the cleaning of gas pressure and temperature data and the removal of outliers through a moving average filtering algorithm.

[0089] S405: Through the PID or PWM intelligent thermal management logic in the edge computing main control module, the fan PWM duty cycle is dynamically adjusted based on the collected temperature data to achieve proactive management of the internal thermal environment of the instrument.

[0090] S406: Perform experimental operations through the terminal web interface, and intelligently switch or combine tactile, visual, and auditory multimodal feedback according to the laboratory scenario and urgency level to complete parameter adjustment and data acquisition for isothermal, isochoric, or isobaric experiments.

[0091] S407: After the experimental data acquisition is completed, the terminal front-end JavaScript engine calls the least squares engine to achieve linear fitting of the experimental data in seconds, automatically calculate the key experimental parameters, and draw dynamic interactive fitting curves.

[0092] S408: Generate an experiment report based on the dynamic interactive fitting curve and the original collected data. The experiment report includes the experimental principle, original data, fitting curve and error analysis blank module, and sends the experiment report to the Learning Management System (LMS) smart teaching platform.

[0093] In an exemplary embodiment, the method further includes: during the execution of the experiment, when the gas temperature is greater than or equal to a preset temperature threshold, issuing an early warning through a terminal-level alarm unit in the safety protection module.

[0094] In one exemplary embodiment, Figure 5 The software flowchart provided for this invention, such as Figure 5 As shown, Left side area: 1. The system is powered on, and the power management module supplies power to: the main control module, the OLED display module, the temperature and pressure sensors using the UART protocol, and the PWM controller for the fan using the chip temperature (T_chip) data inside the pressure sensor. The buzzer is on standby. 2. The OLED screen then displays the connection or establishment of a hotspot and the URL for user terminals to access. 3. The main control module continuously reads the temperature and pressure sensors, using a data filtering and moving average algorithm to remove outliers caused by transient circuit fluctuations in real time, ensuring smooth and accurate data on the OLED screen and uploaded to the web. 4. The gas temperature is compared with 100 degrees Celsius. 5. If the temperature is less than 100°C, intelligent thermal management is activated (adjusting the PWM control of the fan module based on the chip temperature detected by the pressure sensor). If the temperature is greater than or equal to 100°C, the buzzer sounds as a forced reminder to cut off gas heating. 6. The air pressure and temperature data are updated in real time on the OLED screen. The main control module obtains air temperature and pressure data in real time from the user terminal device according to the web request command. 7. The main control module starts the next round of sensor data reading to prepare for the new round of data updates.

[0095] Middle Area: 1. User terminals access the system's web interface via Wi-Fi. The webpage periodically polls the main control module to obtain real-time gas temperature and pressure data. 2. If the air temperature obtained from the webpage is greater than or equal to 100°C, the terminal screen flashes red and a pop-up alarm appears; otherwise, normal experimental operation and recording continue. 3. When collecting experimental data or waiting for gas thermal equilibrium, click the timer reminder on the webpage (the reminder method is silent vibration + screen flashing to avoid affecting other students' experiments) to promptly record the next set of data. 4. After collecting data, click "Generate Experiment Report." The system interface will check the data integrity. 5. If incomplete, click "Return to Edit." The terminal webpage will return to the previous screen, preserving the previously measured experimental data without loss. Only the missing data needs to be re-measured. Once complete, the intelligent data processing completes the experiment report. Students analyze the sources of experimental errors based on the data processing results and save or print the report.

[0096] Right side area: Submit the saved PDF version of the experiment report to the smart teaching platform (Learning Pass, Rain Classroom, etc.) to achieve paperless experiment report submission and grading, green learning and office work, and facilitate record keeping, archiving and grade statistics.

[0097] Figure 6 This is a schematic diagram of terminal login provided by the present invention, such as... Figure 6 As shown, the interface displayed on the OLED screen of the instrument's experimental box, accessible via mobile phone, indicates that the device is connected. The top of the webpage displays the real-time experimental data monitoring area, the timer reminder area, and the option to check whether there will be a ringtone reminder when the timer countdown ends. This area is fixed, and scrolling up and down the webpage content below does not affect the real-time experimental data monitoring display.

[0098] Figure 7 This invention provides a schematic diagram of the buttons for performing experimental data analysis and processing and generating experimental reports, as shown in the figure. Figure 7 As shown, is Figure 5 The webpage content displayed at the bottom of the page shows the "Experimental Data Processing and Experiment Report Generation" button.

[0099] Figure 8 This is a screenshot of the generated experiment report interface provided by the present invention. Figure 9 This is a schematic diagram of the data processing results provided by the present invention. Figure 10 The interface for generating experimental reports provided by this invention, such as Figure 10 As shown, some data was missed. This can be remedied by clicking the button at the bottom. All the data measured in the previous experiment will be saved intact on the return screen.

[0100] Edge Fitting: After the experiment, click the "Generate Report" button. The front-end JavaScript engine will automatically execute the least squares linear fitting algorithm to achieve a second-level computing power response, calculate key parameters such as 1 / P, V0, and R2 in real time, and draw dynamic interactive charts.

[0101] Digital output and cloud integration: The system has a built-in standardized document rendering engine, and the generated experimental reports automatically follow A4 formatting standards, including principles, raw data, fitting curves, and an "error analysis" guidance module (with blank space for students to fill in). The generated PDF documents have undergone in-depth optimization in metadata, and are fully compatible with mainstream LMS platforms such as "Learning Tong" and "Rain Classroom". Students can directly upload them to the assignment area of ​​the "General Physics Experiments" online course, realizing a paperless teaching loop from "hardware acquisition - edge analysis - cloud transfer".

[0102] Data fault tolerance mechanism based on DOM state preservation: To address common pain points in student experiments, such as missed data measurements or accidental data refreshes, the system is designed with user-friendly fault-tolerance logic: State Retention: The system adopts a Single Page Application (SPA) architecture, using DOM visibility control technology to replace traditional page navigation. When "Return to Edit" is clicked, the webpage only switches the view level, while the historical measurement data stored in the underlying DOM nodes remains unchanged and is not cleared.

[0103] Breakpoint retesting: Students only need to retest the missed set of data and click "Generate" again, without having to redo the entire experiment. This design greatly reduces the trial-and-error costs of experiments and significantly improves classroom teaching efficiency.

[0104] When applying the intelligent connected ideal gas experimental method based on edge computing and multimodal computing provided in this manual, it is not necessary to follow the... Figure 4 The steps shown are executed in sequence. The specific execution order of each step can be determined as needed, and this manual does not impose any restrictions on it.

[0105] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0106] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A smart ideal gas experimental system based on edge computing and multimodal computing, characterized in that, include: Integrated printed circuit board, edge computing main control module, industrial-grade digital sensing module, power management module, security protection module, multimodal interaction module and embedded World Wide Web Web service module; The integrated printed circuit board is an integrated carrier for an intelligent ideal gas experimental system based on edge computing and multimodal interaction, and is laid out in a way that separates strong and weak currents. The edge computing master control module is used to read the gas pressure and temperature data collected by the industrial-grade digital sensing module at a fixed frequency, preprocess the collected gas pressure and temperature data, and run thermal management logic in the firmware layer. The industrial-grade digital sensing module is used to collect gas pressure and temperature data in real time after multiple types of terminals without applications (BYOD mode) are connected to the intelligent ideal gas experimental system. The power management module is used to achieve automatic power switching and backflow prevention after the intelligent ideal gas experimental system is powered on. The safety protection module includes triple safety protection, which is used to issue an early warning through the terminal-level alarm unit in the safety protection module when the gas temperature is greater than or equal to the preset temperature threshold during the execution of the intelligent ideal gas experiment. The triple safety protection includes a hardware-level self-resetting fuse, a firmware-level PWM intelligent temperature control algorithm, and a terminal-level WebSockets / Ajax real-time telemetry alarm unit. The embedded web service module, built on ESP32-S3, supports BYOD (Bring Your Own Device) mode access to the Smart Ideal Gas Experiment System for various types of terminals without applications (APP), enabling real-time transmission and interaction of experimental data.

2. The intelligent connected ideal gas experimental system based on edge computing and multimodal computing as described in claim 1, characterized in that, The integrated printed circuit board adopts an electromagnetic compatibility (EMC) partitioned layout and a star or T-type grounding topology. The integrated printed circuit board is divided into a power zone and a quiet zone; the power zone houses the fan interface, MOSFETs, and buzzer; the quiet zone houses the main controller and sensors; the quiet zone shortens the routing of I2C or UART signals between integrated circuits. The power zone and the silent zone are separated by a ground plane or by a physical distance between them, and the power circuit ground wire and the signal circuit ground wire only meet at a single point at the power input.

3. The intelligent connected ideal gas experimental system based on edge computing and multimodal computing as described in claim 1, characterized in that, The edge computing main control module is an ESP32-S3 high-performance dual-core microcontroller, which is used to read the pressure and temperature data of the gas in the industrial-grade digital sensing module at a fixed frequency, establish a queue of preset length to remove outliers, run a moving average filtering algorithm, proportional-integral-derivative PID or pulse width modulation PWM intelligent thermal management logic at the firmware layer, and independently realize gas pressure and temperature data cleaning, temperature control adjustment and edge-side decision-making. The PID or PWM intelligent thermal management logic dynamically adjusts the PWM duty cycle based on the internal temperature of the chip.

4. The intelligent connected ideal gas experimental system based on edge computing and multimodal computing as described in claim 1, characterized in that, The industrial-grade digital sensing module includes the WF183DE integrated pressure or temperature module and the RTD101E high-precision temperature transmitter module. The WF183DE integrated pressure or temperature module is used to collect gas pressure and temperature data.

5. The intelligent connected ideal gas experimental system based on edge computing and multimodal computing as described in claim 1, characterized in that, The power management module has a dual-power supply architecture; The power management module includes a DC-012 power interface, a USB Type-C interface, and a power automatic switching and isolation module; The power management module is used to realize automatic power supply switching and backflow prevention, and to cut off the high-power load circuit of the fan when the USB Type-C interface is powered.

6. The intelligent connected ideal gas experimental system based on edge computing and multimodal operation as described in claim 5, characterized in that, The power management module also includes an inductive load transient protection circuit; The transient protection circuit for inductive loads includes source suppression protection and path isolation protection; The source suppression protection involves connecting a current-limiting resistor in series with the gate of the fan-driven MOSFET to slow down the switching speed and reduce voltage spikes. The path isolation protection is used to completely separate the circuit ground wires of the fan and buzzer from the signal ground wires of the main controller and sensors at the PCB physical level, and only reunite them at a single point at the power input.

7. The intelligent connected ideal gas experimental system based on edge computing and multimodal computing as described in claim 1, characterized in that, The security protection module also includes a terminal-level alarm unit; When the terminal-level alarm unit detects that the gas temperature exceeds 100°C, it triggers the red flashing of the temperature value on the terminal interface, while the device buzzer sounds and the firmware layer forcibly cuts off the heating control signal.

8. The intelligent connected ideal gas experimental system based on edge computing and multimodal computing as described in claim 1, characterized in that, The intelligent ideal gas experimental system based on edge computing and multimodal interaction also includes a multimodal interaction module; The multimodal interaction module is used to adaptively switch feedback modes for different terminals. When the Android mobile terminal triggers intermittent pulse-type silent vibration, the iOS or PC terminal starts the screen to flash red at a high frequency, and the reserved selectable weak prompt sound switch is turned off by default. The multimodal interaction module is used to construct a multi-channel information output channel for touch, vision, and hearing based on HTML5 Vibration API and CSS3 animation technology.

9. A method for intelligent connected ideal gas experiments based on edge computing and multimodal computing, applied to the intelligent connected ideal gas experimental system based on edge computing and multimodal computing as described in any one of claims 1-8, characterized in that, The process includes the following steps: The power supply module automatically arbitrates the power supply mode when the intelligent ideal gas experimental system based on edge computing and multimodal interaction is powered on. An embedded web server is built and a hotspot is established through the edge computing main control module. Users can access the intelligent ideal gas experimental system based on edge computing and multimodal interaction by scanning a code on a mobile terminal or PC. Gas pressure and temperature data are collected in real time using an industrial-grade digital sensing module; The edge computing main control module reads gas pressure and temperature data at a fixed frequency, and uses a moving average filtering algorithm to clean the gas pressure and temperature data and remove outliers. By using PID or PWM intelligent thermal management logic in the edge computing main control module, the fan PWM duty cycle is dynamically adjusted based on the collected temperature data to achieve proactive management of the internal thermal environment of the instrument. Experimental operations are performed through the terminal web interface, and tactile, visual, and auditory multimodal feedback is intelligently switched or combined according to the laboratory scenario and urgency level to complete parameter adjustment and data acquisition for isothermal, isochoric, or isobaric experiments. After the experimental data acquisition is completed, the terminal front-end JavaScript engine calls the least squares engine to achieve linear fitting of the experimental data in seconds, automatically calculate the key experimental parameters, and draw dynamic interactive fitting curves. Based on the dynamic interactive fitting curve and the original collected data, an experimental report is generated. The experimental report includes the experimental principle, original data, fitting curve, and error analysis blank module. The experimental report is then sent to the Learning Management System (LMS) smart teaching platform.

10. The method as described in claim 9, characterized in that, The method further includes: During the experiment, when the gas temperature is greater than or equal to the preset temperature threshold, an early warning will be issued through the terminal-level alarm unit in the safety protection module.

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