Information acquisition terminal test access device and method for high and low temperature test box

Abstract

The invention discloses an information acquisition terminal test access device and method for a high and low temperature test box, and relates to the technical field of power utilization information acquisition. The invention aims to solve the problems of being compatible with different types of terminal devices and adapting to various types of terminals. The support frame comprises a support frame and a frame body in a hollow range of the support frame, panels are arranged on the side walls of the frame body, and testing assemblies are arranged on the panels. The test assembly comprises a terminal access meter holder base fixed on the panel, and the upper end of the terminal access meter holder base is provided with a terminal access meter holder spring test pin. And the terminal access meter holder spring test pin is electrically connected with a member, which is provided with a rotary remote control unit and a signal switching unit inside and outside the support frame, through a data line. According to the invention, the test access capability of the information acquisition terminal is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity consumption information collection, and in particular to an information collection terminal test access device for a high and low temperature test chamber and a method thereof. Background Art

[0002] The electricity information collection terminal, commonly known as the electricity consumption information collection terminal, is a device that collects electricity consumption information from each information collection point, and is referred to as the collection terminal.

[0003] Currently, the mainstream products of electricity consumption information collection terminals include Type I concentrators, Type III dedicated transformers, test terminal controllers (ECUs), substation intelligent converged terminals (SCUs), smart test terminal units, and Type I dedicated transformers. These products have the following characteristics: some terminals have different functional definitions due to different types and specification versions, but they all share the same type specifications (i.e., the same external dimensions, mechanical characteristics of high-voltage and low-voltage interfaces). Therefore, each temperature-related test requires the connection of a large number of test lines according to the terminal type and specification version. The large number of terminal types requires a large wiring workload, and manual wiring is prone to errors. Often, the test results are not discovered until a very long time after the wiring has caused errors, which poses the risk of misjudgment. Existing technology for high and low temperature test chambers uses information collection terminals with low test efficiency, and the control wiring accuracy needs to be improved.

[0004] Therefore, there is an urgent need for an information acquisition terminal test access device for a high and low temperature test chamber to solve the above problems. Summary of the Invention

[0005] In response to the shortcomings of the above-mentioned technology, the present invention provides a test access device and method for an information acquisition terminal for a high and low temperature test chamber, which can improve work efficiency, reduce manual wiring errors, and avoid misjudgment of test results due to human factors when performing temperature-related tests.

[0006] To achieve the above object, the present invention provides the following technical solutions: An information collection terminal test access device for a high and low temperature test chamber, comprising: A support frame and a rotatable frame vertically extending through the support frame; The upper and lower ends of the frame are connected by a central axis, and extend from the upper and lower ends to the top of the support frame for rotation. The side walls of the frame are provided with multiple panels, and the panels are provided with test components; The test assembly includes a terminal access meter support base fixed to the panel by fasteners, and a terminal access meter support spring test pin is installed on the upper end of the terminal access meter support base. Multiple terminal access meter support spring test pins are electrically connected to the components of the rotation remote control control unit and the signal switching unit arranged outside the support frame through data lines, and different test signals are sent to the corresponding terminal access meter support spring test pins via the rotation remote control control unit and the signal switching unit through the data line.

[0007] As a further technical solution of the present invention, the support frame is configured to have a 120° hollow layout in a three-dimensional spatial structure, and a pressure gauge base is welded on the panel, and the pressure gauge base is respectively arranged directly above the corresponding terminal access meter support spring test pin.

[0008] As a further technical solution of the present invention, a pressure gauge limit block is slidingly provided on the pressure gauge base, and a square hole is provided on the pressure gauge limit block. A signal switching unit is rotatably provided between the pressure gauge base and the corresponding square hole on the pressure gauge limit block, and extends in opposite directions toward the square hole of the pressure gauge limit block toward the connection point of the pressure gauge base.

[0009] As a further technical solution of the present invention, a test terminal is provided between the pressure gauge limit block and the corresponding terminal access to the table support base, and the lower end test end of the test terminal is plug-connected with the corresponding terminal access to the table support spring test pin. A test terminal is provided between the pressure gauge limit block and the corresponding terminal access to the table support base, and the lower end test end of the test terminal is plug-connected with the corresponding terminal access to the table support spring test pin. Through the finite element simulation pre-trained deformation compensation model, the piezoelectric ceramic actuator of the pressure gauge limit block is driven to dynamically adjust the gap with a compensation accuracy of ±2μm; wherein the finite element simulation pre-trained deformation compensation model includes a multi-field data acquisition module, a data feature extraction module, a deep learning calculation module, a parameter mapping module and a dynamic error correction module, wherein the output end of the multi-field data acquisition module is connected to the input end of the data feature extraction module, the output end of the data feature extraction module is connected to the input end of the deep learning calculation module, the output end of the deep learning calculation module is connected to the input end of the parameter mapping module, and the output end of the parameter mapping module is connected to the input end of the dynamic error correction module.

[0010] As a further technical solution of the present invention, a driving motor is fixedly installed on the support frame, and a rotating driving gear is installed on the output shaft of the driving motor through a key pin. The rotating driving gear is arranged within the hollow range of the support frame, wherein the driving motor is a wireless remote control motor.

[0011] As a further technical solution of the present invention, a rotating driven gear is installed on the central axis portion at the upper end of the frame through a key pin, and the rotating driven gear is meshed with the rotating driving gear.

[0012] The support frame is provided with a device terminal access box, which is internally provided with a data line for data communication with the rotation remote control control unit and the signal switching unit, and is electrically connected to the test system through the data line.

[0013] As a further technical solution of the present invention, the test system is connected to a host computer.

[0014] As a further technical solution of the present invention, the panel is made of aluminum alloy.

[0015] As a further technical solution of the present invention, a method for testing access to an information collection terminal for a high and low temperature test chamber includes the following steps: Step 1: Install the test terminal on the test assembly, start the rotation remote control unit, and calibrate the initial position of the frame through the calibration module so that the test assembly of each panel is aligned with the reference of the support frame; the signal switching unit performs self-test to enable the switching unit to realize automatic signal switching and verify the conduction status and insulation performance of the relay matrix channel; Step 2: Set the target temperature of the high and low temperature test chamber, start the temperature control system, and pre-adjust the contact gap between the panel (7) and the test component (701) through the thermal expansion compensation mechanism to compensate for the expected thermal deformation; use the distributed fiber grating sensor network to monitor the micro strain of the panel (7) in the range of -70℃~200℃ in real time with an accuracy of ±0.5με. Step 3: Connect the terminal. Fix the information collection terminal to the terminal access base. Apply a contact force of 5N±0.5N through the pneumatic crimping mechanism to ensure close contact between the terminal interface and the spring test pin. Trigger the contact pressure detection circuit to verify whether the pin compression amount meets the standard. If abnormal, trigger an alarm and terminate the process. Step 4: Rotate the remote control unit to receive the test sequence command, drive the stepper motor through the harmonic reducer to drive the frame to rotate to the target panel position, and the positioning accuracy is ±0.1° positioning accuracy; The calibration module provides real-time feedback of position signals, and the closed-loop control system corrects the angle deviation to ensure that the test component is precisely aligned with the terminal interface under test; Step 5: Switch the signal switching unit to the DC power output mode, apply a voltage gradient of 0 to 30 V in 1 mV steps, and collect the terminal's response current and voltage fluctuation data through a 24-bit ADC; switch to the RS485, CAN, or LIN communication channel, send a standard test message, and record the terminal's response time, bit error rate, and protocol compliance; and add a vector network analysis module before the signal switching unit, wherein the vector network analysis module includes a phase accumulator, a digital-to-analog converter, a dynamic frequency division ratio calculation module for a dynamic thermal expansion coefficient compensator, and an information analysis unit; Receive real-time thermal deformation data of the panel sent by the remote control unit; automatically adjust the contact pressure of the relay matrix and fine-tune the relay contact spacing through the piezoelectric ceramic driver to ensure stable contact resistance at high and low temperatures; Step 6: When testing at low temperatures below -40°C, activate the pulse heating function of the pin to maintain the contact point temperature > -40°C to prevent frost from causing contact failure; when testing at high temperatures above +150°C, activate the thermal isolation barrier to reduce the heat conduction rate from the pin to the base to ensure the stability of the test signal; activate multiple test channels simultaneously through the channel matrix relay, and improve the test capability through 32-way terminal parallel testing. As a further technical solution of the present invention, in step 1, the working method of the rotary remote control control unit includes the following steps: Step 1: Turn the remote control to analyze the control instructions; The host computer or the built-in test sequence generator receives the rotation control test command of the test terminal, the command format of which is the Modbus protocol or the TCP / IP standardized protocol. The command at least includes the target position angle, rotation direction and speed parameters. According to the position of the target position of the test terminal, the optimal rotation path and the shortest angle difference of the frame are calculated, and the deformation amount generated by the thermal expansion compensation mechanism is predicted to dynamically adjust the motion parameters. Step 2: motion control; The stepper motor control command is activated, and the harmonic reducer is adjusted according to the panel position to convert the motor's high-speed, low-torque output into low-speed, high-torque output, precisely controlling the frame's rotation. The stepper motor has an angular resolution of ±0.01° per step and a positioning accuracy of ±0.1°. The calibration module uses a photoelectric encoder to collect the frame's rotation angle in real time and feeds the position signal back to the remote control unit. A genetic algorithm is used to optimize the test sequence and automatically allocate resources to the vector network analysis module, reducing the testing time for a single batch of 32 terminals from 4 hours to 1.5 hours. Step 3: Closed-loop correction; An improved PID algorithm compares the target and actual angles, dynamically adjusts the motor pulse frequency and direction, and compensates for mechanical transmission errors and load disturbances, ensuring rapid convergence to the target position. During high and low temperature tests, the unit receives temperature data from the temperature control system, predicts the difference in thermal expansion coefficients between the panel and the test component, and automatically adjusts the contact gap through the thermal expansion compensation mechanism to avoid alignment offsets caused by deformation. Step 4: Collaborative triggering; If an over-limit deviation of >±0.2°, motor stalling, or signal loss is detected during positioning, the unit will immediately trigger an emergency stop and report a fault code to the monitoring interface, while simultaneously cutting off power to protect the equipment. The stepper motor is adjusted to an angular deviation of ≤±0.1° under closed-loop control. When the frame is positioned, the remote control unit sends a ready signal to the signal switching unit, triggering it to switch to the specified test mode, achieving seamless integration of mechanical motion and electrical testing. Step 5: Collaborative triggering; Step 51: Initialize the test access state of the test terminal using the information collection terminal according to the constraints of the multi-target state instruction allocation model, and randomly generate N state individuals; Step 52, calculate the rotational fitness of each state individual; Step 53, test each state individual in the access state of the test terminal (9) using the information collection terminal Perform the following operations: 1) Randomly select three individuals in different states from p from the test terminal (9) using the information collection terminal to test the access state: 2) Randomly select a gene position ; 3) Generate new state individuals through differential evolution. For each gene of the new state individual, the specific generation process is: In formula (1), Represented as the representative value of a randomly selected gene position, It represents the subscript of the representative value of the new state individual, and p represents each state individual in the access state tested by the test terminal (9) using the information collection terminal. is the crossover probability; Expressed as a scaling factor; 4) Evaluate the fitness of the new state individual q; 5) Judge the pros and cons of the state individuals according to the non-dominated sorting and divide them into levels, and fill the state individuals into the new information collection terminal test access state in descending order; Step 54, when all the state individuals of a certain level are filled in and the state individual data in the new information collection terminal test access state is greater than N, then arrange the state individuals in the level according to the order of the test terminal (9)'s needs, and eliminate the state individuals with low needs until the number of state individuals in the test access state of the test terminal (9) is N; Step 55: Determine whether the end condition, that is, the number of iterations, is met. If so, exit the loop; otherwise, jump to step 53.

[0016] As a further technical solution of the present invention, in step 1, the working method of the rotation remote control control unit includes the following steps: In step 5, the signal switching unit operates as follows: Control signal input: A 128-channel high-density relay matrix integrates a 24-bit high-precision ADC and a 16-bit DAC. Through physical channel isolation switching, it receives different control signals from the control unit. Different control signals determine the closing or opening of different types of relays. The control signals are provided by the microcontroller control system. The FPGA processes the phase / impedance calibration parameters output by the vector network analysis module in real time, drives the relay matrix to execute channel switching instructions, and simultaneously triggers the 24-bit ADC to collect terminal response data. Signal path switching: Based on the control signal, relays in the relay matrix operate, changing the signal path. The information analysis unit calculates the terminal input impedance and automatically configures the adjustable matching network at the front end of the relay matrix. A 100mA test current is applied, and the contact resistance is measured via a 24-bit ADC, triggering the piezoelectric ceramic fine-tuning mechanism to compensate for the contact gap. Multi-channel signal management: A real-time impedance scanning algorithm is integrated into the vector network analysis module, monitoring changes in terminal input impedance every 10ms and automatically switching the LC matching network at the front end of the relay matrix, reducing the signal reflection coefficient from Γ≤0.2 in traditional solutions to Γ≤0.05. A Bayesian network-based channel fault prediction model analyzes contact resistance, signal bit error rate, and 15+ parameters of the temperature variation curve in real time, predicting relay contact failure 500ms in advance. Automatic switching of adaptive data channels simultaneously manages multiple input and output signals, enabling complex signal switching and distribution.

[0017] As a further technical solution of the present invention, the method for automatically allocating resources of the vector network analysis module by optimizing the test sequence with a genetic algorithm is as follows: Step (1), encoding and population initialization; Chromosome encoding maps the test sequence into an ordered chromosome, where each gene represents a test task. Gene parameters include at least the terminal ID, test type, temperature point, priority, estimated time, and preconditions. Chromosome = [Task 1, Task 2, ..., Task n], where task ᵢ = (terminal IDᵢ, test typeᵢ, ...., temperature pointᵢ); generate initial solutions based on a greedy strategy: prioritize test tasks with similar temperatures to reduce temperature change waiting time; perform local exchange on greedy solutions to generate a diverse initial population; step (2), set the objective function and calculate the fitness function; set a multi-objective optimization model, In formula (2), Represent weight coefficients of different values ​​respectively; in formula (2), Total test time: Total time = ∑(task duration) + ∑(temperature stabilization time); Temperature stabilization time = f(ΔT) = k·|T1-T2|*α (k=0.5~2min / °C, α=0.8~1.2); f2(S) = Load balancing: used to measure the usage balance of the vector network analysis module; Load balancing f3(S) = Parallel efficiency: the proportion of parallel testing time to total testing time Parallel efficiency = parallel testing time / total time; Step (3), select the operator; P(selected) = exp(fitness(S) / T) / ∑exp(fitness(Sⱼ) / T) (4) In formula (4), T is the temperature parameter; Mutation operator: The crossover probability is: Pc = Pc0-(Pc0-Pc1)·(t / T) (5) Mutation probability: Pm = Pm0 + (Pm1-Pm0)·(t / T) (6) In formula (6), t = current iteration, T = total number of iterations; Step (4): The motion control equation based on the above genetic algorithm is: θ(t) = θ0 + (ω0·t + ½·α·t²)·(1 / i) (7) In formula (7), θ(t) = angular position at time t; θ0 = initial angle; ω0 = initial angular velocity of the motor; α = angular acceleration; i = reduction ratio of the harmonic reducer, which is 1:100; The encoder feedback control function is: In formula (8), e(t) = angular error; K p =100,K i =5,K d =2. Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention provides a terminal access meter support spring test pin and a signal switching unit in the test assembly. The signal switching unit controls different signals to be input into different tested terminals via the terminal access meter support spring test pin to perform testing. The original need for testers to select appropriate test lines according to different meters is changed to only needing to press the meter into a suitable position without manually connecting the test line. This not only improves work efficiency by eliminating the steps of line selection and wiring for staff, but also avoids the problem of test failure caused by wrong selection or wiring failure due to the need for line selection and wiring, thereby improving test accuracy.

[0018] 2. In the present invention, since there are multiple test terminals, when installing the test terminals after the test is completed or before the test, the test personnel need to move constantly to install or observe the test data, which is rather troublesome. By setting the rotation remote control unit, the test system controls the rotation remote control unit to start the test system to complete the rotation of the frame, and then drives the panel to rotate continuously to the appropriate position to complete the installation of multiple test terminals or observe the testing of multiple test terminals, which is convenient for the staff to install the test terminals and check the test status of the test terminals at different positions at any time.

[0019] 3. The present invention can complete the signal input work in the test work of different models of the tested terminals by setting the terminal access table support spring test pin. At the same time, the rotation remote control control unit can enter the corresponding tested terminal through the terminal access table support spring test pin according to different control signals to complete the test work of different models of the tested terminals.

[0020] 4. The present invention can quickly and easily implement the access device of the terminal equipment when conducting high and low temperature related tests on various types and multiple terminal devices in the test chamber. It provides test personnel with fast and correct access when testing different types of terminal products. This device realizes rapid crimping of the terminal through the matching terminal access spring pin table holder. The matching electric remote control rotation mechanism makes it convenient to check the status of any tested terminal at any time during the test. This device realizes the adaptation of functional terminals of different terminal types through the external terminal signal access switching board. And it can adapt to multiple terminal types; 5. After the present invention completes the assembly and debugging verification, there is no need for manual access to the test line, avoiding repeated access and confirmation according to specifications and terminal definitions during each test. It can greatly improve work efficiency, reduce manual wiring errors, and avoid misjudgment of test results due to human factors.

[0021] 5. This invention breaks through the multi-terminal parallel testing capability Through a 32-terminal parallel testing architecture and genetic algorithm optimization, single-batch testing time was reduced from 4 hours to 1.5 hours, improving efficiency by 62.5%. Based on a greedy strategy and temperature continuity optimization, the ineffective temperature change waiting time in the high and low temperature test chamber was reduced by 40%, significantly reducing energy consumption and time costs. The signal switching unit of this invention supports nanosecond automatic switching of multiple signal formats, such as DC power supply, RS485 / CAN / LIN, eliminating the risk of manual wiring errors. The rotation remote control unit parses commands via the Modbus / TCP / IP protocol and automatically plans the optimal rotation path for the frame, with a positioning accuracy of ±0.1°, eliminating alignment deviations caused by manual adjustments.

[0022] Through multi-objective genetic algorithm scheduling, a multi-objective optimization model integrating load balancing and parallel efficiency balances the load of the vector network analysis module, increasing device utilization from 60% to 92% and extending the life of core components. This application also supports the free combination of 32 terminal IDs and 12 test types, and automatically matches protocol types using a built-in library of over 200 standard messages to adapt to different models of tested terminals. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can derive other drawings based on these drawings without inventive work, among which: Figure 1 It is a schematic structural diagram of the present invention as a whole; Figure 2 For the present invention Figure 1 A in the middle is an enlarged schematic diagram; Figure 3 For the present invention Figure 1 The enlarged schematic diagram of point B in the middle; Figure 4 For the present invention Figure 1 A schematic diagram of an embodiment; Figure 5 A schematic diagram of an embodiment of the access method of the present invention; Figure numerals: 1. Support frame; 2. Frame; 3. Rotating driving gear; 4. Driving motor; 5. Rotating driven gear; 6. Device terminal access box; 7. Panel; 701-test component; 801. Pressure gauge base; 802. Signal switching unit; 803. Pressure gauge limit block; 9. Test terminal; 10. Terminal access to meter support base; 11. Terminal access to meter support spring test pin; 12. Rotating remote control control unit; 13. Signal switching unit; 14. Test system. DETAILED DESCRIPTION

[0024] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0025] See also Figure 1-5 The present invention provides a technical solution: an information acquisition terminal test access device for a high and low temperature test chamber, comprising: A support frame 1 and a rotatable frame 2 vertically extending through the support frame 1; The upper and lower ends of the frame 2 are connected by a central axis and extend from the upper and lower ends to the top of the support frame 1 for rotation. A plurality of panels 7 are provided on the side walls of the frame 2, and a test component 701 is provided on each panel 7; The test component 701 includes a terminal access meter support base 10 fixed to the panel 7 by fasteners, and a terminal access meter support spring test pin 11 is installed on the upper end of the terminal access meter support base 10. The multiple terminal access meter support spring test pins 11 are electrically connected to the components of the rotation remote control control unit 12 and the signal switching unit 13 arranged outside the support frame 1 through data lines, and different test signals are sent to the corresponding terminal access meter support spring test pin 11 via the rotation remote control control unit 12 and the signal switching unit 13 through the data line.

[0026] In a specific embodiment of the present invention, the support frame 1 is constructed from high-strength aluminum alloy profiles. Its internal hollow structure forms a rotation channel. The central axis passes through the upper and lower ends of the frame 2 and is connected to the support frame 1 via deep-groove ball bearings, enabling 360° rotation without dead angles (rotation accuracy of ±0.5°). The rotation drive module integrates a micro servo motor (5 rpm) and a worm gear reducer (10:1 reduction ratio). The motor's rotation direction and angle are controlled by a PWM signal sent by a remote control unit 12, allowing the frame 2 to be positioned freely within a ±180° range, meeting the requirements of terminal access at various heights and angles within the test chamber. The side walls of the frame 2 are evenly distributed with four panels 7 (one each for the front, back, left, and right). Each panel integrates eight test assemblies 701 (for a total of 32 test channels). The terminal access panel base 10 is secured with an L-shaped aluminum alloy bracket and connected to the panel 7 with M3 stainless steel fasteners (torque 1.2 N·m), ensuring structural stability in high and low temperature environments (-40°C to +150°C). The terminal access spring test pin 11 is made of beryllium bronze (hardness ≥ 300HV), has a built-in 0.5N constant force spring (compression stroke 2mm), and a contact resistance of ≤ 50mΩ. It is suitable for terminal terminals with a diameter of φ2.5mm~φ4mm to achieve reliable electrical connection.

[0027] The rotation remote control unit 12 integrates an STM32 microcontroller, receives commands from the host computer via the RS485 bus, and outputs control signals to the motor drive module (current 2A) and signal switching unit 13. Signal switching unit 13 utilizes a solid-state relay matrix (16 inputs / 32 outputs) supporting 250V AC / 30V DC signal switching. Test signals (voltage / current / frequency) are transmitted to the corresponding pins 11 via a shielded twisted pair (120Ω impedance) data cable. Switching time is ≤10ms, and channel crosstalk is ≤-50dB. The intelligent testing process can be divided into automatic positioning: the host computer inputs the terminal position coordinates (X, Y, Z), and the control unit 12 calculates the frame rotation angle (θ = arctan (Y / X)). This drives the motor for precise positioning, and cooperates with a Hall effect encoder (resolution 1024PPR) mounted on the central axis to achieve closed-loop position control (positioning error ≤1mm). Signal Matching: The signal switching unit 13 automatically configures the channel mapping table based on the test protocol (such as Modbus RTU / RS232), assigning channels 1-8 to voltage testing and channels 9-16 to current testing. It supports multi-protocol parallel testing (up to four channels). The data cable utilizes a polytetrafluoroethylene insulation layer (temperature resistant -60°C to +200°C), and the connector uses an IP67-rated aviation plug. The contact resistance change rate is ≤5% at -40°C and the signal attenuation is ≤3dB at +150°C. The terminal access base 10 is coated with a polyimide coating (50μm thick). After a salt spray test (NSS 1000h), the corrosion rate is ≤0.1%, making it suitable for high-temperature, low-temperature, and humid environments. The remote control unit 12 uses a metal shielded casing (shielding effectiveness ≥40dB@1GHz), the internal PCB layout follows a 4-layer design (power layer and ground layer are isolated), and the data line is sheathed in a micro-coaxial shielded tube (cut-off frequency 1GHz), ensuring a bit error rate of ≤10⁻ in a 10V / m electromagnetic radiation environment. 6 .

[0028] In a specific embodiment, the frame 2 is polygonal in top view, and each side of the polygon is of the same length. The upper and lower ends of the frame 2 are connected by a central axis, and extend from the upper and lower ends to the support frame 1 for rotation; the support frame 1 and the rotatable frame 2 vertically penetrate the support frame 1; By setting the terminal access meter support spring test pin 11 and the signal switching unit 13 in the test component 701, the signal switching unit 13 controls different signals to be input into different tested terminals 9 via the terminal access meter support spring test pin 11 for testing. The original need for the tester to select the appropriate test line according to different meters is changed to only needing to press the meter in the appropriate position without manually connecting the test line. This not only improves work efficiency by eliminating the steps of line selection and wiring for the staff, but also avoids the problem of test failure caused by wrong selection or wiring failure due to the need for line selection and wiring, thereby improving the accuracy of the test.

[0029] The support frame 1 is configured to be a 120° hollow layout in a three-dimensional spatial structure, and pressure gauge bases 801 are welded on the panel 7. Multiple pressure gauge bases 801 are respectively arranged directly above the corresponding terminal access meter support spring test pins 11.

[0030] A pressure gauge limit block 803 is slidingly provided on each of the pressure gauge bases 801, and a square hole is provided on each of the pressure gauge limit blocks 803. A signal switching unit 802 is rotatably provided between the pressure gauge base 801 and the corresponding square hole on the pressure gauge limit block 803, and extends in opposite directions toward the connection point of the pressure gauge base 801 toward the square hole of the pressure gauge limit block 803.

[0031] A test terminal 9 is provided between the plurality of pressure gauge limit blocks 803 and the corresponding terminal access meter support base 10, and the lower end test end of the plurality of test terminals 9 is connected to the corresponding terminal access meter support spring test pin 11. A test terminal 9 is provided between the pressure gauge limit block 803 and the corresponding terminal access meter support base 10, and the lower end test end of the test terminal 9 is plug-connected to the corresponding terminal access meter support spring test pin 11. The piezoelectric ceramic actuator of the pressure gauge limit block 803 is driven to dynamically adjust the gap through the finite element simulation pre-trained deformation compensation model, with a compensation accuracy of ±2μm; wherein the finite element simulation pre-trained deformation compensation model includes a multi-field data acquisition module, a data feature extraction module, a deep learning calculation module, a parameter mapping module and a dynamic error correction module. The output end of the multi-field data acquisition module is connected to the input end of the data feature extraction module, the output end of the data feature extraction module is connected to the input end of the deep learning calculation module, the output end of the deep learning calculation module is connected to the input end of the parameter mapping module, and the output end of the parameter mapping module is connected to the input end of the dynamic error correction module.

[0032] In specific applications, the multi-field data acquisition module utilizes a distributed sensor network to build a multi-dimensional data collection system encompassing "environmental perception, physical deformation, and contact state," enabling real-time quantitative capture of microstrain, temperature fields, and contact gaps under extreme temperature conditions. Multi-source heterogeneous data fusion integrates fiber Bragg grating (FBG) sensors (strain), thermocouples (temperature), and laser displacement sensors (gap) into a three-dimensional monitoring matrix, constructing a material thermal deformation database spanning the -70°C to 200°C temperature range. Utilizing the IEEE 1588 clock protocol, nanosecond-level synchronized acquisition ensures traceability of the causal relationship between temperature changes and strain responses. Through 100Hz high-frequency sampling and a grid-like sensor layout (32 strain sensors and 16 temperature sensors), microstrains as small as 0.5με and temperature fluctuations as small as 0.1°C can be captured.

[0033] The data feature extraction module uses signal processing and dimensionality reduction algorithms to remove noise interference from raw multi-field data and extract the core feature vectors that best reflect the temperature-deformation coupling relationship. A 50Hz low-pass filter removes mechanical vibration noise while retaining the low-frequency strain signal (0.1-10Hz) related to temperature change, improving the signal-to-noise ratio by 30dB. Principal component analysis (PCA) is used to reduce the three variables of temperature, strain, and gap to a two-dimensional feature space, eliminating collinearity interference and achieving a cumulative variance contribution rate of ≥95%. The deep learning computation module achieves intelligent prediction of complex physical processes through simulation pre-training and augmentation with measured data. The LSTM layer captures the dynamic hysteresis relationship between the temperature change rate and strain response. The parameter mapping module converts the model's digital output signal into the physical displacement control variable of the piezoelectric ceramic, integrating it with engineering constraints to achieve safe and effective gap compensation. The dynamic error correction module uses a Kalman filter to improve gap measurement accuracy from ±1μm to ±0.6μm, effectively suppressing the random noise of the laser displacement sensor (σ = 1μm → σ = 0.6μm). Every 100 tests trigger model fine-tuning to dynamically compensate for piezoelectric ceramic sensitivity drift (annual drift ≤ 5%), ensuring long-term compensation accuracy of ±2μm and stability ≥ 99%. Sensor accuracy verification is shown in Table 1. Tests demonstrated strain measurement accuracy of ≤±0.5με, temperature error ≤±0.12°C, and gap measurement accuracy ≤±1μm across the entire temperature range, meeting model input requirements. A 1Hz square wave signal injected from a signal generator synchronously triggered the three sensors, resulting in a measured timestamp deviation of ≤80ns, meeting nanosecond-level synchronization requirements and ensuring traceability of causal relationships between multi-field data. Test data for the deep learning computing module is shown in Table 2. At the critical temperatures of -70°C and 200°C, the model prediction error increased by 15% compared to the intermediate temperature range, but remained within ±0.6V (±3μm), meeting the design target of ±2μm compensation accuracy. The full-temperature gap compensation results are shown in Table 3. Tests have shown that the post-compensation error is within the designed range of ±2μm. While slight fluctuations occur in high-temperature scenarios due to nonlinear material expansion, the compliance rate remains above 98%. At a temperature ramp rate of 5°C / min, the response time from sudden temperature change to stable gap compensation is ≤150ms, meeting real-time control requirements (compared to the response time of traditional mechanical compensation solutions exceeding 500ms). Table 4 shows the test data compared to traditional solutions. Through experiments, it is possible to achieve high-precision synchronous acquisition of micro-strain, temperature, and gap under extreme temperature ranges, providing reliable input for the model.

[0034] In a further specific embodiment, a driving motor 4 is fixedly mounted on the support frame 1, a rotating driving gear 3 is mounted on the output shaft of the driving motor 4 via a key pin, and the rotating driving gear 3 is disposed within the hollowed-out area of ​​the support frame 1. The driving motor 4 is a wireless remote-controlled motor.

[0035] A rotation driven gear 5 is mounted on the central axis portion of the upper end of the frame 2 via a key pin, and the rotation driven gear 5 is meshed with the rotation driving gear 3 .

[0036] The support frame 1 is provided with a device terminal access box 6, which is internally provided with a data line for data communication with the rotation remote control unit 12 and the signal switching unit 13. The data line is electrically connected to the test system 14. The test system 14 is connected to the host computer. The panel is made of aluminum alloy.

[0037] It should be noted that: in the initial state, the tested terminal 9 is not provided between the pressure gauge limit block 803 and the terminal access meter support base 10 .

[0038] When it is necessary to test the tested terminal 9; First, external force is used to drive multiple test terminals 9 to move in sequence to the corresponding pressure gauge limit block 803 and the terminal access spring test pin 11, and drive the test terminal 9 so that the lower end of the test terminal 9 is inserted into the corresponding terminal access spring test pin 11. Subsequently, the signal switching unit 802 is driven by external force to move downward along the connection with the pressure gauge base 801, thereby driving the pressure gauge limit block 803 to move downward. The downward movement of the pressure gauge limit block 803 drives the corresponding test terminal 9 to move downward so that the test end of the lower end of the test terminal 9 is in close contact with the terminal access spring test pin 11. At the same time, the lower end of the test terminal 9 is in close contact with the upper surface of the terminal access base 10.

[0039] Subsequently, the test system 14 controls the signal switching unit 13 to send test signals to different test terminals 9. When it is necessary to check the test status of different test terminals 9; First, the test system 14 is controlled by the rotation remote control unit 12 to start the drive motor 4. The start of the drive motor 4 drives the rotation driving gear 3 to rotate. The rotation of the rotation driving gear 3 drives the rotation driven gear 5 to rotate. The rotation of the rotation driven gear 5 drives the central axis on the frame 2 to rotate, thereby driving the frame 2 to rotate. The rotation of the frame 2 drives the panel 7 to rotate. The rotation of the panel 7 drives the test terminal 9 set on the panel 7 to rotate toward the tester.

[0040] Since there are multiple test terminals 9, when installing the test terminal 9 after the test is completed or before the test, it is troublesome for the test personnel to move constantly to install or observe the test data. By setting the rotation remote control control unit 12, the rotation remote control control unit 12 is controlled by the test system 14 to start the test system 14 to complete the rotation of the frame 2, and then drive the panel 7 to rotate continuously to the appropriate position to complete the installation of multiple test terminals 9 or observe the testing of multiple test terminals 9, which is convenient for the staff to install the test terminals 9 and check the test status of the test terminals 9 at different positions at any time.

[0041] By setting the terminal access table support spring test pin 11, the signal input work in the test work of different models of the tested terminals 9 can be completed. At the same time, the rotation remote control control unit 12 can enter the corresponding tested terminal 9 through the terminal access table support spring test pin 11 according to different control signals to complete the test work of different models of the tested terminals 9.

[0042] Working principle: When it is necessary to test the tested terminal 9; First, external force is used to drive multiple test terminals 9 to move in sequence to the corresponding pressure gauge limit block 803 and the terminal access spring test pin 11, and drive the test terminal 9 so that the lower end of the test terminal 9 is inserted into the corresponding terminal access spring test pin 11. Subsequently, the signal switching unit 802 is driven by external force to move downward along the connection with the pressure gauge base 801, thereby driving the pressure gauge limit block 803 to move downward, and the downward movement of the pressure gauge limit block 803 drives the corresponding test terminal 9 to move downward.

[0043] Subsequently, the test system 14 controls the signal switching unit 13 to send test signals to different test terminals 9 for testing.

[0044] When it is necessary to check the test status of different test terminals 9; First, the test system 14 is controlled by the rotation remote control unit 12 to start the drive motor 4. The start of the drive motor 4 drives the rotation driving gear 3 to rotate. The rotation of the rotation driving gear 3 drives the rotation driven gear 5 to rotate. The rotation of the rotation driven gear 5 drives the central axis on the frame 2 to rotate, thereby driving the frame 2 to rotate. The rotation of the frame 2 drives the panel 7 to rotate, and the rotation of the panel 7 drives the test terminal 9 set on the panel 7 to rotate.

[0045] In a further embodiment, the operating method of the rotation remote control control unit 12 includes the following steps: Step 1: Turn the remote control to analyze the control instructions; The rotation control test instruction of the test terminal 9 is received by the host computer or the built-in test sequence generator. The instruction format is Modbus protocol or TCP / IP standardized protocol. The instruction contains at least the target position angle, rotation direction and speed parameters. According to the position of the target position of the test terminal 9, the optimal rotation path and the shortest angle difference of the frame 2 are calculated, and the deformation amount generated by the thermal expansion compensation mechanism is predicted to dynamically adjust the motion parameters. The specific process of parsing and executing rotational remote control commands can be broken down into several key steps: command reception, command parsing, path planning and parameter adjustment, and motion control. First, command reception. The system has two command receiving channels: a host computer and a built-in test sequence generator. During host computer reception, the operator can generate rotational control test commands based on test requirements on the remote host computer and then send these commands to the rotational remote control unit 12 via a network (e.g., Ethernet). The built-in test sequence generator automatically generates rotational control test commands based on a pre-set test process. Command transmission utilizes the Modbus or TCP / IP standardized protocols to ensure accuracy and compatibility. After receiving the command, the rotational remote control unit 12 parses the command and extracts key information. It then performs a format check to verify that the received command complies with the Modbus or TCP / IP format requirements. If the format does not match, the system deems the command invalid, logs an error message, and notifies the operator through an alarm mechanism. Finally, parameter extraction: The target position angle, rotation direction, and speed parameters are extracted from the valid command. The target position angle specifies the final position to which frame 2 needs to rotate; the rotation direction (clockwise or counterclockwise) determines the direction of rotation; and the speed parameter specifies the speed of frame 2's rotation. After obtaining the target position information, the system plans the rotation path of frame 2 and dynamically adjusts the motion parameters based on the influence of the thermal expansion compensation mechanism. The optimal path is calculated based on the position of the target position of test terminal 9 and, combined with the current position of frame 2, the optimal rotation path and the shortest angle difference for frame 2 are calculated. The optimal path is ultimately determined by comparing the angles of clockwise and counterclockwise rotation to the target position, and the rotation direction with the smallest angle difference is selected as the optimal path.

[0046] Considering that temperature changes within the high and low temperature test chamber will cause deformation in the thermal expansion compensation mechanism, the system needs to predict the impact of this deformation on the rotation of frame 2. A temperature sensor monitors the temperature within the test chamber in real time. Combined with the material properties and structural parameters of the thermal expansion compensation mechanism, a thermal expansion model is established to predict the magnitude and direction of the deformation.

[0047] When adjusting motion parameters, the system dynamically adjusts the motion parameters of frame 2, such as rotational speed and acceleration, based on the predicted thermal expansion deformation. For example, if thermal expansion increases the rotational resistance of frame 2, the system can appropriately increase the rotational speed or acceleration to ensure that frame 2 can accurately reach the target position.

[0048] After path planning and parameter adjustment, the rotation remote control unit 12 sends control signals to the stepper motor and associated drive mechanisms to achieve rotational motion of the frame 2. Based on the adjusted motion parameters, the rotation remote control unit 12 sends pulse signals to the stepper motor, driving the stepper motor through a harmonic reducer to rotate the frame 2. The stepper motor's pulse frequency and number determine the rotation speed and angle of the frame 2. The calibration module provides real-time feedback on the frame 2's position. The rotation remote control unit 12 compares this feedback with the target position angle and calculates the angular deviation. The closed-loop control system automatically adjusts the stepper motor's control signal based on the angular deviation, correcting the angular deviation and ensuring that the frame 2 accurately reaches the target position with a positioning accuracy of ±0.1°. Throughout the rotation control process, the system monitors various status information in real time, such as motor current and position deviation. If an abnormality occurs, such as motor overload or position deviation exceeding the allowable range, the system immediately triggers an alarm, halts the rotation of the frame 2, and records the abnormality information for subsequent analysis and processing.

[0049] Step 2: motion control; Start the stepper motor control command, and adjust the harmonic reducer according to the position of the panel (7) to convert the high-speed low-torque output of the motor into low-speed high-torque, so as to accurately control the rotation of the frame (2); the angular resolution of each step of the stepper motor is ±0.01°, and the positioning accuracy is ±0.1°; the calibration module collects the frame rotation angle in real time through the photoelectric encoder, and feeds back the position signal to the remote control unit; In this step, after receiving the test sequence instructions, the rotation remote control unit 12 generates corresponding stepper motor control instructions based on the target workstation position of the panel 7. These instructions include key parameters such as the rotation direction (clockwise or counterclockwise), number of rotation steps, and rotation speed to ensure that the frame 2 can accurately rotate to the specified position. Based on the control instructions, the rotation remote control unit 12 sends a series of pulse signals to the stepper motor driver. The frequency of the pulse signal determines the rotation speed of the stepper motor, while the number of pulses determines the number of rotation steps. After receiving the pulse signals, the stepper motor driver converts them into a drive current suitable for the stepper motor, thereby driving the stepper motor to start and rotate in the specified direction and speed. Since the angular resolution of each step of the stepper motor is ±0.01°, this provides the basis for precise control of the rotation of the frame 2. The stepper motor outputs high-speed, low-torque power. To meet the low-speed, high-torque requirements required for the rotation of the frame 2, a harmonic reducer is required for conversion. The harmonic reducer uses the elastic deformation of the flexible wheel to achieve deceleration and torque amplification, converting the high-speed rotation of the stepper motor into the low-speed rotation of the frame 2, while increasing the output torque to ensure that the frame 2 can rotate stably. The harmonic reducer has the advantages of high precision, high efficiency, and low noise. It can accurately transmit the rotation of the stepper motor to the frame 2, ensuring the rotation accuracy of the frame 2. The photoelectric encoder in the calibration module is connected to the frame 2. As the frame 2 rotates, the photoelectric encoder will collect the rotation angle information of the frame in real time. The photoelectric encoder converts the rotation angle into an electrical signal through the internal grating disk and photoelectric sensor to achieve accurate measurement of the rotation angle of the frame. The calibration module feeds back the collected position signal to the rotation remote control control unit 12. These position signals contain the current actual rotation angle of the frame 2. The rotation remote control control unit 12 can understand the position status of the frame 2 in real time based on this information. The rotation remote control control unit 12 compares the received actual position signal with the target position and calculates the angular deviation between the two. If there is a deviation, it means that the rotation position of the frame 2 is inconsistent with the target position and needs to be corrected. Step 3, closed-loop correction; By comparing the target and actual angles using an improved PID algorithm, the motor pulse frequency and direction are dynamically adjusted to compensate for mechanical transmission errors and load disturbances, ensuring rapid convergence to the target position. During high and low temperature tests, the unit receives temperature data from the temperature control system, predicts the difference in thermal expansion coefficients between the panel (7) and the test component (701), and automatically adjusts the contact gap through the thermal expansion compensation mechanism to avoid alignment offset caused by deformation. Based on the calculated angular deviation, the remote control unit 12 adjusts the control instructions for the stepper motor. For example, if the actual rotation angle of the frame 2 is less than the target angle, the remote control unit 12 increases the number of pulse signals, causing the stepper motor to continue rotating until the frame 2 reaches the target position. Conversely, if the actual rotation angle is greater than the target angle, the number of pulse signals is reduced. This closed-loop control method continuously corrects the angular deviation, ultimately achieving accurate rotation of the frame 2 to the target position with a positioning accuracy of ±0.1°.

[0050] In this step, the rotation remote control control unit 12 determines the target working angle to which the frame 2 needs to be rotated according to the received test sequence instruction. The target angle is the basis for accurately controlling the rotation of the frame 2 .

[0051] The improved PID algorithm is based on the traditional PID (proportional-integral-derivative) control principle. The proportional term (P) adjusts the control output proportionally based on the current angular deviation. The larger the deviation, the greater the adjustment. The integral term (I) is used to eliminate the system's steady-state error. It integrates the angular deviation over a period of time, gradually accumulating error information and compensating for it. The differential term (D) uses the rate of change of the angular deviation to predict system trends in advance and respond promptly to rapidly changing deviations. This improves upon the traditional PID algorithm by introducing an adaptive adjustment mechanism. This mechanism automatically adjusts the PID controller parameters based on different operating scenarios and system states to improve control accuracy and stability. Furthermore, the algorithm incorporates corresponding compensation terms to account for the effects of mechanical transmission errors and load disturbances, making it more adaptable to complex operating conditions. The rotation remote control unit 12 dynamically adjusts the pulse frequency sent to the stepper motor driver based on the results of the improved PID algorithm. If the angular deviation is large, the pulse frequency is increased to accelerate the stepper motor's rotation speed to quickly reduce the deviation. If the angular deviation is small, the pulse frequency is reduced to ensure a more precise rotation speed and avoid overshoot. According to the positive or negative value of the angle deviation, the rotation direction of the stepper motor is determined. When the actual angle is smaller than the target angle, the stepper motor is controlled to rotate clockwise; when the actual angle is larger than the target angle, the stepper motor is controlled to rotate counterclockwise to ensure that the frame 2 can rotate in the direction of the target angle. Due to factors such as gaps and friction in the mechanical transmission process, there will be an error between the actual rotation angle and the theoretically calculated angle. The improved PID algorithm compensates for these mechanical transmission errors by continuously adjusting the motor control parameters, so that the actual rotation of the frame 2 is closer to the target angle. During the rotation of the frame 2, it may be affected by external disturbances such as load changes. The improved PID algorithm can monitor the changes in the angle deviation in real time. When it is detected that the load disturbance causes the angle deviation to increase, the control parameters are quickly adjusted to overcome the influence of the disturbance, ensuring that the system can quickly converge to the target position and achieve precise positioning control. Step 4, collaborative triggering; If an over-limit deviation of >±0.2° is detected during positioning, the motor is blocked or the signal is lost, the unit immediately triggers an emergency stop and reports a fault code to the monitoring interface, while cutting off the power supply to protect the equipment; the stepper motor is adjusted to an angle deviation of ≤±0.1° under closed-loop control; when the frame positioning is completed, the remote control control unit sends a ready signal to the signal switching unit 13, triggering it to switch to the specified test mode, achieving seamless connection between mechanical movement and electrical testing; When the detected deviation between the actual angle and the target angle exceeds ±0.2°, the rotation remote control unit 12 determines an out-of-limit deviation abnormality. The calibration module uses a photoelectric encoder to collect the actual rotation angle of the frame in real time and then transmits the data to the rotation remote control unit. This unit compares the actual angle with the target angle to determine whether an out-of-limit deviation greater than ±0.2° exists. The rotation remote control unit monitors the stepper motor's operating parameters, such as current and speed, in real time. If the motor current increases abnormally while the speed decreases significantly or even stagnates, the motor is considered stalled. The rotation remote control unit continuously checks for position signals fed back by the calibration module. If no signal is received within a specified time, or if the received signal is erroneous or incomplete, it is considered a signal loss. Upon detecting an abnormal condition such as out-of-limit deviation, motor stall, or signal loss, the rotation remote control unit immediately triggers the emergency stop mechanism. It sends a stop signal to the stepper motor driver, causing the motor to immediately stop. The rotation remote control unit generates a fault code corresponding to the abnormal condition and uploads it to the monitoring interface, allowing operators to obtain timely information about equipment failures. The calibration module collects the actual rotation angle of the frame in real time and feeds the position signal back to the rotation remote control unit. This unit compares the actual angle with the target angle and calculates the angular deviation. Proportional control (P) proportionally adjusts the control output based on the current angular deviation, forcing the stepper motor to rotate in the direction that minimizes the deviation. Integral control (I) integrates the angular deviation over time to eliminate the system's steady-state error and ensure the frame accurately reaches the target position. Differential control (D) uses the rate of change of the angular deviation to predict system trends in advance and respond promptly to rapidly changing deviations, improving system stability and response speed.

[0052] Step 5: Collaborative triggering; Step 51, initialize the test access state of the test terminal (9) using the information collection terminal according to the constraint conditions of the multi-target state instruction allocation model, and randomly generate N state individuals; Step 52, calculate the rotational fitness of each state individual; Step 53, test each state individual in the access state of the test terminal (9) using the information collection terminal Perform the following operations: 1) Randomly select three individuals in different states from p from the test terminal (9) using the information collection terminal to test the access state: 2) Randomly select a gene position ; 3) Generate new state individuals through differential evolution. For each gene of the new state individual, the specific generation process is: In formula (1), Represented as the representative value of a randomly selected gene position, It represents the subscript of the representative value of the new state individual, and p represents each state individual in the access state tested by the test terminal (9) using the information collection terminal. is the crossover probability; Expressed as a scaling factor; 4) Evaluate the fitness of the new state individual q; 5) Judge the pros and cons of the state individuals according to the non-dominated sorting and divide them into levels, and fill the state individuals into the new information collection terminal test access state in descending order; Step 54, when all the state individuals of a certain level are filled in and the state individual data in the new information collection terminal test access state is greater than N, then arrange the state individuals in the level according to the order of the test terminal (9)'s needs, and eliminate the state individuals with low needs until the number of state individuals in the test access state of the test terminal (9) is N; Step 55, determine whether the cutoff condition, that is, the number of iterations, is met. If it is met, exit the loop, otherwise jump to step 53. In the above steps, according to the constraints set by the multi-objective state instruction allocation model, the test access state of the test terminal 9 is initialized using the information acquisition terminal. These constraints may include resource constraints, time constraints, test rules, etc., to ensure that the initialized state individuals meet the actual test access requirements. Randomly generate N state individuals, each state individual represents a possible state of the information acquisition terminal test access. These state individuals will serve as the basic population for subsequent iterative optimization. For each state individual, calculate its rotational fitness. Rotational fitness is an indicator to measure the quality of a state individual, which reflects the performance of the state individual in meeting multi-objective requirements (such as test efficiency, resource utilization, etc.). The specific fitness calculation method needs to be determined based on the specific multi-objective state instruction allocation model. Randomly select three state individuals For each state individual in the access state tested by the information collection terminal of the test terminal 9, three different state individuals are randomly selected from the state set. These three state individuals will be used in the subsequent differential evolution operation to generate new state individuals. A gene bit is randomly selected, which represents a feature or parameter in the state individual. In the differential evolution algorithm, the selection of gene bits is random, which helps to increase the randomness and exploration ability of the algorithm. The rotational fitness of the newly generated state individual is calculated using the same fitness calculation method used in step 52. By evaluating the fitness, the performance of the new state individual in multi-objective optimization can be understood. The non-dominated sorting method is used to determine the relationship between the advantages and disadvantages of the state individuals and divide them into different levels. Non-dominated sorting is a commonly used sorting method in multi-objective optimization. It divides individuals into different levels based on their performance on multiple objectives, with individuals at higher levels being more superior.

[0053] In a further embodiment, a method for testing access to a high and low temperature test chamber using an information collection terminal comprises the following steps: Step 1: Install the test terminal 9 on the test assembly 701, start the rotation remote control control unit 12, and calibrate the initial position of the frame 2 through the calibration module so that the test assembly 701 of each panel 7 is aligned with the reference of the support frame 1; the signal switching unit 13 performs self-test to enable the switching unit to realize automatic switching of signals and verify the conduction state and insulation performance of the relay matrix channel; Step 2: Set the target temperature of the high and low temperature test chamber, start the temperature control system, and pre-adjust the contact gap between the panel 7 and the test component 701 through the thermal expansion compensation mechanism to compensate for the expected thermal deformation; use the distributed fiber grating sensor network to monitor the micro-strain of the panel 7 in the range of -70℃~200℃ in real time with an accuracy of ±0.5με. Step 3: Connect the terminal. Fix the information collection terminal to the terminal access base 10. Apply a contact force of 5N±0.5N through the pneumatic crimping mechanism to ensure that the terminal interface is in close contact with the spring test pin 11. Trigger the contact pressure detection circuit to verify whether the pin compression amount meets the standard. If abnormal, trigger an alarm and terminate the process. Step 4: Rotate the remote control unit 12 to receive the test sequence command, drive the stepper motor through the harmonic reducer to drive the frame 2 to rotate to the target panel 7 position, and the positioning accuracy is ±0.1° positioning accuracy; The calibration module provides real-time feedback of the position signal, and the closed-loop control system corrects the angle deviation to ensure that the test component 701 is accurately aligned with the terminal interface under test; Step 5: Switch the signal switching unit 13 to the DC power supply output mode, apply a voltage gradient of 0→30V in 1mV steps according to the preset setting, and collect the terminal's response current and voltage fluctuation data through the 24-bit ADC; switch to the RS485, CAN, or LIN communication channel, send a standard test message, and record the terminal response time, bit error rate, and protocol compliance; and add a vector network analysis module in the front stage of the signal switching unit 13, wherein the vector network analysis module includes a phase accumulator, a digital-to-analog converter, a dynamic frequency division ratio calculation module of a dynamic thermal expansion coefficient compensator, and an information analysis unit; Receive real-time thermal deformation data of the panel 7 sent by the rotation remote control unit 12; automatically adjust the contact pressure of the relay matrix, and fine-tune the relay contact spacing through the piezoelectric ceramic driver to ensure stable contact resistance at high and low temperatures; technical parameters are shown in Table 5. Through the above description, the method has outstanding technical effects and significant technical progress.

[0054] Step 6. When testing at low temperatures below -40°C, activate the pulse heating function of pin 11 to maintain the contact point temperature > -40°C to prevent frost from causing contact failure. When testing at high temperatures above +150°C, activate the thermal isolation barrier to reduce the heat conduction rate from the pin to the base to ensure test signal stability. Activate multiple test channels simultaneously through the channel matrix relay, and improve test capabilities through 32-way terminal parallel testing.

[0055] In the above embodiment, the 32-channel test terminal 9 is fixed to the terminal access base 10 of the test assembly 701 via magnets or bolts, ensuring that the interface is aligned with the spring-loaded test pins 11. The remote control unit 12 is activated to drive a stepper motor (1.8° step angle, 256 subdivisions, ±0.01° resolution) through a harmonic reducer (reduction ratio 1:100) to slowly rotate the frame 2, with an initial speed set to 0.5° / s. A photoelectric encoder (0.001° resolution) acquires the initial angle of the frame, and a polar coordinate system is established with the mechanical reference plane of the support frame 1 as the zero point. The frame is rotated to three preset reference points (0°, 120°, and 240°), dwelling for 5 seconds at each point. The encoder provides real-time angle feedback (accuracy ±0.01°). The average deviation is calculated and the number of stepper motor pulses corrected to ensure that the alignment error between each panel 7 test assembly and the reference is ≤±0.1°. The relay matrix (a 128-channel relay with a switching time of ≤50μs) sequentially closes each channel, applies a 1V DC test voltage, and measures the on-resistance (threshold ≤100mΩ) using a 24-bit ADC (AD7760). The target temperature (-70°C to 200°C, with an accuracy of ±0.5°C) is input via a host computer or local touch screen. The temperature control system activates the heating / cooling module, with a default temperature ramp rate of 5°C / min (configurable from 1 to 10°C / min). Based on historical temperature data, the finite element model is used to estimate the panel (made of aluminum alloy with a linear expansion coefficient of 23×10⁻). 6 / ℃) at the target temperature, driving the piezoelectric ceramic actuator to pre-adjust the contact gap (pre-compensation amount = theoretical thermal deformation × 90%). 32 fiber Bragg grating sensors (FBGs) are attached to the edge of the panel to collect micro-strain in real time (accuracy ±0.5με), and 16 K-type thermocouples synchronously monitor the temperature field (resolution ±0.1℃). The data is transmitted to the industrial computer via Gigabit Ethernet to build a real-time temperature change-strain mapping relationship. The information acquisition terminal is placed vertically on the terminal access table base (10), and the pneumatic pressing mechanism (air pressure 0.5MPa adjustable) is started. A contact force of 5N±0.5N is applied through the linear guide (real-time feedback from the pressure sensor, accuracy ±0.1N). The compression amount of the spring test pin 11 is designed to be 2mm±0.2mm. After pressing, the terminal interface and the pin maintain a 100% contact area. After the contact pressure detection circuit is triggered, it measures the pin loop resistance (threshold ≤ 50mΩ). If three consecutive measurements exceed tolerance (e.g., > 100mΩ), a buzzer sounds, a fault code (e.g., E01: Contact Failure) is displayed on the LED screen, and power to the corresponding channel is cut off. The remote control unit receives the test sequence command (including the target panel number and temperature zone parameters) and calculates the number of stepper motor pulses (1600 pulses per 1°) based on the shortest path optimized by a genetic algorithm (minimum angle difference principle). The stepper motor starts at 1° / s, accelerates to a constant speed of 3° / s, and decelerates to 0.5° / s when approaching 0.5° within the target position to avoid inertial shock. A harmonic reducer converts the motor's high-speed, low-torque (no-load speed of 300rpm) to low-speed, high-torque (output speed of 3rpm, a 100-fold increase in torque), ensuring smooth frame rotation. The photoelectric encoder provides real-time angle feedback, which is compared with the target value to calculate the deviation (e.g., current angle θ = 30.12°, target θ = 30.00°, deviation + 0.12°). An improved PID algorithm (Kp = 100, Ki = 5, Kd = 2) dynamically adjusts the motor pulse frequency, correcting the angle deviation to within ±0.1° within 100ms. The calibration module simultaneously updates the position database. Signal switching unit 13 switches to DC power supply mode. The DAC (16-bit, 1mV resolution) outputs a 0→30V voltage (1mV steps, 200ms dwell per step). A 24-bit ADC (sampling rate 1MS / s) simultaneously acquires the terminal response current (accuracy ±0.01% FSR). This data is displayed in real time on the host computer interface, where a voltage-current curve is plotted, automatically identifying overcurrent points (e.g., exceeding 110% of the rated current triggers hardware protection). Switch to the RS485 / CAN / LIN channel, automatically match the terminal protocol type from the 200+ standard message library (identification accuracy ≥ 99.5%), and send 1000 test message frames (baud rate supports 10kbps~1Mbps).Record the terminal response time (accuracy ±1μs) and bit error rate (threshold ≤10⁻. 8 ), when abnormal, it is marked as a protocol compatibility fault (such as E02: CRC check error). The phase accumulator generates a 1kHz reference signal, the dynamic frequency division ratio calculation module adjusts the frequency to the operating frequency band of the terminal under test, and the thermal expansion coefficient dynamic compensator corrects the phase offset (compensation accuracy ±0.5°) according to the real-time strain of the panel (from the FBG data in step 2). The information analysis unit scans the terminal input impedance every 10ms, automatically configures the front-end LC matching network (50Ω / 75Ω / custom), and controls the signal reflection coefficient Γ to ≤0.05 (1GHz frequency band). Receive the thermal deformation variable data of the rotation remote control control unit (12), and the piezoelectric ceramic driver fine-tunes the relay contact spacing (accuracy ±1nm) to ensure that the contact resistance fluctuation is ≤5mΩ at high and low temperatures (the reference resistance is 10mΩ at 25℃). When the temperature is ≤ -40°C, the 10Ω heating resistor built into pin 11 initiates 50ms pulse heating (20% duty cycle, 50mW±5mW power). A thermocouple monitors the contact point temperature to maintain a -35°C to -30°C temperature range to prevent condensation (dew point ≤ -45°C). When the temperature is ≥ 150°C, the ceramic insulation layer (thermal conductivity 1.2W / mK) between the base and the pin activates, along with a 2mm thick air barrier, to reduce the heat transfer rate from the pin to the base by 60%, ensuring the terminal's contact base temperature is ≤ 85°C (temperature rise ≤ 35°C). The 32-way terminal contact spring test pin 11 is connected to the vector network analysis module via an independent relay channel, supporting parallel testing of up to eight terminals in the same temperature zone and with the same protocol (subject to the relay matrix load balancing algorithm). A genetic algorithm optimizes test sequences and automatically allocates module resources. For example, it prioritizes eight terminal tests in the 200°C high-temperature zone and simultaneously schedules three vector network analysis channels, reducing the testing time for a single batch of 32 terminals to 1.5 hours. Key technical parameters for the implementation process are shown in Table 6. Through the above implementation process, this test access method realizes the automation of the entire process from terminal installation, temperature change compensation, precise positioning to multi-standard signal testing. Combined with dynamic error correction and extreme environment adaptability design, it ensures test accuracy and reliability within a wide temperature range of -70℃~200℃.

[0056] In a further embodiment, after disconnecting the channel, a 500V DC insulation test voltage is applied, leakage current is measured (threshold ≤ 5μA), insulation resistance is verified to be ≥ 100MΩ, and the abnormal channel is marked as a fault and automatically blocked.

[0057] In a further embodiment, in step 1, the working method of the rotating remote control control unit 12 includes the following steps: Step 1: Turn the remote control to analyze the control instructions; The rotation control test instruction of the test terminal 9 is received by the host computer or the built-in test sequence generator. The instruction format is Modbus protocol or TCP / IP standardized protocol. The instruction contains at least the target position angle, rotation direction and speed parameters. According to the position of the target position of the test terminal 9, the optimal rotation path and the shortest angle difference of the frame 2 are calculated, and the deformation amount generated by the thermal expansion compensation mechanism is predicted to dynamically adjust the motion parameters. Step 2: motion control; The stepper motor control command is activated, and the harmonic reducer is adjusted according to the position of panel 7 to convert the motor's high-speed, low-torque output into low-speed, high-torque output, precisely controlling the rotation of frame 2. The stepper motor has an angular resolution of ±0.01° per step and a positioning accuracy of ±0.1°. The calibration module uses a photoelectric encoder to collect the frame rotation angle in real time and feeds the position signal back to the remote control unit. A genetic algorithm is used to optimize the test sequence and automatically allocate resources to the vector network analysis module, reducing the testing time for a single batch of 32 terminals from 4 hours to 1.5 hours. Step 3: Closed-loop correction; By comparing the target and actual angles using an improved PID algorithm, the motor pulse frequency and direction are dynamically adjusted to compensate for mechanical transmission errors and load disturbances, ensuring rapid convergence to the target position. During high and low temperature tests, the unit receives temperature data from the temperature control system, predicts the difference in thermal expansion coefficients between the panel (7) and the test component (701), and automatically adjusts the contact gap through the thermal expansion compensation mechanism to avoid alignment offset caused by deformation. Step 4: Collaborative triggering; If an over-limit deviation of >±0.2° is detected during the positioning process, the motor is blocked or the signal is lost, the unit immediately triggers an emergency stop and reports the fault code to the monitoring interface, and at the same time cuts off the power supply to protect the equipment; the stepper motor is adjusted to an angle deviation of ≤±0.1° under closed-loop control; when the frame positioning is completed, the remote control unit sends a ready signal to the signal switching unit (13), triggering it to switch to the specified test mode, thereby achieving seamless connection between mechanical movement and electrical testing; Step 5: Collaborative triggering; Step 51, initialize the test access state of the test terminal (9) using the information collection terminal according to the constraint conditions of the multi-target state instruction allocation model, and randomly generate N state individuals; Step 52, calculate the rotational fitness of each state individual; Step 53, test each state individual in the access state of the test terminal (9) using the information collection terminal Perform the following operations: 1) Randomly select three individuals in different states from p from the test terminal (9) using the information collection terminal to test the access state: 2) Randomly select a gene position ; 3) Generate new state individuals through differential evolution. For each gene of the new state individual, the specific generation process is: In formula (1), Represented as the representative value of a randomly selected gene position, It represents the subscript of the representative value of the new state individual, and p represents each state individual in the access state tested by the test terminal (9) using the information collection terminal. is the crossover probability; Expressed as a scaling factor; 4) Evaluate the fitness of the new state individual q; 5) Judge the pros and cons of the state individuals according to the non-dominated sorting and divide them into levels, and fill the state individuals into the new information collection terminal test access state in descending order; Step 54, when all the state individuals of a certain level are filled in and the state individual data in the new information collection terminal test access state is greater than N, then arrange the state individuals in the level according to the order of the test terminal (9)'s needs, and eliminate the state individuals with low needs until the number of state individuals in the test access state of the test terminal (9) is N; Step 55: Determine whether the end condition, that is, the number of iterations, is met. If so, exit the loop; otherwise, jump to step 53. In the above embodiment, the host computer sends instructions via Modbus RTU (serial port) or TCP / IP (network port). The format example is: Modbus command: 01 06 00 01 00 1E CRC (target angle 30°, hexadecimal 001E) TCP / IP command: {"command":"rotate","angle":30.0,"direction":"clockwise","speed":2.0} The parsing module extracts the target workstation angle (accuracy 0.1°), rotation direction (clockwise / counterclockwise), and speed parameters (adjustable from 0.5° / s to 5° / s). The current angle θ_curr of the frame and the target angle θ_target are converted to the minimum angle difference in the polar coordinate system: In the above formula, the shortest path (clockwise or counterclockwise, Δθ absolute value ≤ 180°) is selected. For example, when the current angle is 350° and the target angle is 10°, a counterclockwise rotation of 20° is selected instead of a clockwise rotation of 340°. The current temperature T of the temperature control system is received and the pre-trained thermal expansion model (based on the linear expansion coefficient of aluminum alloy 23×10⁻) is used to calculate the thermal expansion coefficient. 6 / ℃) to calculate the expected deformation of the panel: For stepper motor control, a two-phase stepper motor (1.8° step angle, 256 subdivisions, actual step angle 0.00703125°) transmits a pulse train (1600 pulses per 1°) with a frequency range of 100Hz to 10kHz. The speed is regulated by the pulse frequency. A harmonic reducer with a reduction ratio of 1:100 reduces the motor's output speed (300rpm) to 3rpm and increases torque from 0.1N·m to 10N·m, ensuring smooth rotation of the frame (with a load of 50kg). A photoelectric encoder (2000 lines, 0.18° / line resolution, and 0.0018° accuracy after matching the gear ratio) acquires angle data in real time and transmits it to the control unit via the SPI bus with an update frequency of 1kHz. Chromosome encoding: Each gene represents a terminal test task (including workstation angle, temperature, and test type). The population size N = 100 and the number of iterations T = 200 are used. The fitness function is then used for calculation. When the measured angle θ_enc deviates from the target θ_tar by more than ±0.1°, the PID algorithm adjusts the pulse frequency (for example, increasing the pulse frequency by 1% for positive deviations), allowing up to 5 iterations (50ms) to achieve the target. Receive the panel temperature T and calculate the thermal deformation angle of the test component relative to the support frame: (R is the rotation radius, ΔL is the thermal expansion of the panel edge). Δθ_thermal is pre-subtracted from the positioning target. An angle deviation >±0.2° (for three consecutive samples) or a motor stall signal (current > 150% of the rated value) triggers an emergency stop. Fault code definitions: E01 = angle exceeded, E02 = motor stalled, E03 = encoder signal lost, reported to the host computer via the Modbus protocol. In the event of an emergency stop, the motor power is immediately cut off, the electromagnetic brake is engaged (response time ≤ 5ms), and a signal is sent to the signal switching unit to disconnect the test power supply to prevent terminal damage. Positioning completion flag: If the deviation between θ_enc and θ_tar is ≤ ±0.1° and the speed is ≤ 0.05° / s, a GPIO high-level signal is sent to the signal switching unit to trigger the test mode switch (delay ≤ 100ms). The key parameters of the implementation process are shown in Table 7. Through the above implementation process, the rotary remote control unit achieves intelligent control of the entire process, from command parsing and precise positioning to test sequence optimization. Combining genetic algorithms and differential evolution techniques, this system improves multi-terminal testing efficiency by over 60% while maintaining ±0.1° positioning accuracy, meeting the efficient and reliable requirements of high and low temperature test chambers for complex testing scenarios. In a further embodiment, in step 1, the operating method of the rotary remote control unit 12 includes the following steps: In step 5, the signal switching unit 13 operates as follows: Control signal input: A 128-channel high-density relay matrix integrates a 24-bit high-precision ADC and a 16-bit DAC. Through physical channel isolation switching, it receives different control signals from the control unit. Different control signals determine the closing or opening of different types of relays. The control signals are provided by the microcontroller control system. The FPGA processes the phase / impedance calibration parameters output by the vector network analysis module in real time, drives the relay matrix to execute channel switching instructions, and simultaneously triggers the 24-bit ADC to collect terminal response data. In this specific embodiment, a 128-channel high-density relay matrix (model: G8PM-128CH, switching time ≤ 50μs, isolation ≥ 80dB) is used to support physical channel isolation for DC (0-30V), RS485 / CAN / LIN signals, and other signals. Each channel integrates a 24-bit high-precision ADC (AD7760, signal-to-noise ratio 120dB) and a 16-bit DAC (AD5660, settling time 1μs), enabling high-precision signal acquisition and output conversion. A Xilinx Kintex-7 FPGA with a built-in phase / impedance calibration module receives the phase accumulator (resolution 0.1°) and impedance scan results (accuracy 0.1Ω) from the vector network analysis module in real time. The relay matrix is ​​driven via the Avalon bus, synchronously generating ADC acquisition trigger signals (frequency 1MS / s), ensuring strict synchronization of voltage / current data with signal switching. Signal path switching: Based on the control signal, relays in the relay matrix operate, changing the signal path. The information analysis unit calculates the terminal input impedance and automatically configures the adjustable matching network at the front end of the relay matrix. A 100mA test current is applied, and the contact resistance is measured via a 24-bit ADC, triggering the piezoelectric ceramic fine-tuning mechanism to compensate for the contact gap. The microcontroller (STM32H7) receives test mode commands (e.g., DC / RS485 / CAN) from the remote control unit and parses them to generate a relay closure sequence (e.g., channels 1-8 conduct DC, channels 9-16 conduct CAN signals). The FPGA obtains the thermal expansion compensation for the current workstation (derived from the dynamic thermal expansion coefficient compensator) from the vector network analysis module and adjusts the DAC output reference voltage (e.g., 10V reference at 25°C, +0.5V compensation at high temperatures). The relay matrix implements "break-before-make" logic (switching delay ≤ 100ns) to prevent crosstalk between signals of different standards. For example, when switching to the RS485 channel, the relay on the DC power channel is automatically disconnected.

[0058] In one specific embodiment, the DC signal channel: relays K1-K32 are closed, outputting a voltage from 0 to 30V (in 1mV steps), and the DAC generates voltage values ​​using a gradient loading algorithm (e.g., 0V to 1V to 2V, etc., with each step lasting 200ms). The communication signal channel: relays K33-K64 are closed, and the FPGA configures the baud rate (10kbps-1Mbps) of the differential driver (e.g., MAX485) and simultaneously triggers the ADC to acquire the terminal response signal (rising edge synchronization). The information analysis unit measures the terminal input impedance using a 100mA test current (formula: Z = V / I, with a resolution of 0.1Ω) and automatically configures the front-end LC matching network (50Ω / 75Ω / custom): if Z < 60Ω: Switch to 50Ω matching network (L=10nH, C=33pF) elif 60Ω≤Z≤80Ω: Enable 75Ω fixed network else: Trigger custom matching algorithm (adjust L / C value to target impedance) A 100mA constant current source is applied, and a 24-bit ADC measures the contact voltage (1μV resolution), calculating the contact resistance (R=V / I, 0.1mΩ accuracy). Compensation is triggered when the resistance fluctuates by >5%. Multi-channel signal management: A real-time impedance scanning algorithm is integrated into the vector network analysis module. This monitors changes in terminal input impedance every 10ms and automatically switches the LC matching network at the front end of the relay matrix, reducing the signal reflection coefficient from Γ≤0.2 in traditional solutions to Γ≤0.05. A Bayesian network-based channel fault prediction model analyzes contact resistance, signal bit error rate, and 15+ parameters of the temperature curve in real time, predicting relay contact failure 500ms in advance. Automatic adaptive data channel switching simultaneously manages multiple input and output signals, enabling complex signal switching and distribution.

[0059] The vector network analysis module sends a 100Hz-10MHz sweep signal every 10ms, and the ADC collects the amplitude of the reflected signal. , supports parallel testing of up to 8 terminals with the same temperature zone and the same protocol. The relay matrix allocates channels according to the genetic algorithm optimization sequence (for example, 8 terminals in the 200°C high temperature zone are tested first). The FPGA monitors the load of each channel in real time (current / voltage fluctuation ≤ 1%). Input parameters: contact resistance (10mΩ±5%), signal error rate (threshold 10⁻ 8 ), temperature curve (5℃ / min±20%) and other 15 + parameters, establish the failure probability table: P(failure) = f(R{contact}, When the predicted probability is > 90%, switch to the redundant channel 500ms in advance (for example, when channel 1 fails, channel 129 is automatically enabled as a backup) and mark the failed channel for repair.

[0060] When adaptive data channel switching occurs, the channel parameter table is automatically configured as shown in Table 8. The key technical parameters of the implementation process are shown in Table 9. Once the frame is positioned (deviation ≤ ±0.1°), the signal switching unit receives a ready signal and completes channel switching within 100ms, achieving microsecond-level synchronization between mechanical positioning and electrical testing. This implementation enables high-precision switching of multi-standard signals, making it a core functional unit capable of supporting parallel testing of 32 terminals.

[0061] In a further specific embodiment, the method for automatically allocating vector network analysis module resources by optimizing the test sequence using a genetic algorithm is as follows:

[0062] Chromosome encoding maps the test sequence into an ordered chromosome, where each gene represents a test task. Gene parameters include at least the terminal ID, test type, temperature point, priority, estimated time, and preconditions. Chromosome = [Task 1, Task 2, ..., Task n ], where task ᵢ = (terminal ID ᵢ, test type ᵢ, ..., temperature point ᵢ); generate initial solutions based on a greedy strategy: prioritize test tasks with similar temperatures to reduce temperature change waiting time; perform local swapping on greedy solutions to generate a diverse initial population; In a specific embodiment, it is implemented by the following coding: task gene = { "terminal_id": 1-32, # terminal unique identifier "test_type": ["DC", "RS485", "CAN", "LIN"], # Test type "temperature": -70℃~200℃ (step 5℃), # target test temperature "priority": 1-5 (5 is the highest priority), # Task priority "duration": 2-10 minutes (dynamically adjusted according to test type), # Estimated time "pre_condition": [dependency task ID list] # Pre-task (e.g. high temperature test requires normal temperature calibration to be completed first) } chromosome = [ (1, "DC", 25℃, 3, 5min, []), (5, "CAN", 150℃, 5, 8min, [1]), ...(32 task genes)] Arrange tasks in ascending order of temperature, with the temperature difference between adjacent tasks ≤ 20°C. For example, arrange the 25°C, 30°C, and 40°C tasks consecutively to reduce the temperature stabilization time. Local swapping: Randomly swap 5 pairs of task positions (swap rate 15%) for the greedy solution to generate a diverse initial population (population size N = 100). Step (2): Set the objective function and calculate the fitness function; set up a multi-objective optimization model. In formula (2), Represent weight coefficients of different values ​​respectively; in formula (2), Total test time: Total time = ∑(task duration) + ∑(temperature stabilization time); Temperature stabilization time = f(ΔT) = k·|T1-T2|*α (k=0.5~2min / °C, α=0.8~1.2); f2(S) = Load balancing: used to measure the usage balance of the vector network analysis module; Load balancing f3(S) = Parallel efficiency: the proportion of parallel testing time to total testing time Parallel efficiency = parallel test time / total time; Based on the above description, in the above embodiment, the following description is used: f1(S) calculation: Total time = total task time + total temperature change stabilization time Temperature change stabilization time = 1.2min / ℃ × |T i - T i+1 |(α=1.2,k=1.2min / ℃) Show example: The temperature difference between adjacent tasks is 50°C, and the temperature change stabilization time = 1.2 × 50 = 60 minutes. f2(S) calculation: Load balancing degree = 1 / √(Σ(module usage time - average time)² / number of modules) Example :The usage time of the four vector network analysis modules is 100min, 110min, 95min, and 105min respectively, with an average of 102.5min. The load balancing degree is = ·f3(S) calculation: Parallel efficiency = parallel test time / total time Example :Total time 100min, parallel test time 60min, parallel efficiency = 60%. Step (3), select operator; Selection operator: Tournament selection (Tournament Size = 3) is used, 3 individuals are selected each time, and the one with the highest fitness is retained to ensure that the inheritance probability of high-quality individuals is ≥ 60%. Mutation operator: Crossover probability P c =0.8−0.2×(t / T) (initial 0.8, final 0.6) Mutation probability P m =0.1+0.1×(t / T) (Initial 0.1, final 0.2) Example: Total iteration T = 200 generations, at the 100th generation P c =0.7, P m =0.15.

[0063] P (被选中) = exp(fitness(S) / T) / ∑exp(fitness(Sⱼ) / T) (4) In formula (4), T is the temperature parameter; Mutation operator: Crossover probability Pc = Pc0-(Pc0-Pc1)·(t / T) (5) Mutation probability Pm = Pm0 + (Pm1-Pm0)·(t / T) (6) In formula (6), t = current iteration, T = total number of iterations; Step (4): The motion control equation based on the above genetic algorithm is: θ(t) = θ0 + (ω0·t + ½·α·t²)·(1 / i) (7) Where: θ(t) = angular position at time t; θ0 = initial angle; ω0 = initial angular velocity of the motor; α = angular acceleration; i = reduction ratio of the harmonic reducer (1:100). The encoder feedback control function is: In formula (8), e(t) = angular error; K p =100,K i =5,K d =2. Motion control equation parameters: Stepper motor: initial angular velocity angular acceleration Reduction ratio i=100, target angle, θ target =60 , initial angle θ0=0 Movement time t=30s; calculated PID control parameters: real-time angle error e(t)=0.15 Control output = 100×0.15 + 5×∫0.15dt + 2×(0.15-0.12) / 0.01 = 15 + 0.75 + 6 = 21.75, which increases the motor pulse frequency by 2%. The hardware platform can be: High and low temperature test chamber: temperature range -70℃~200℃, temperature change rate 5℃ / min Vector network analysis module: 4 channels, supporting DC / RS485 / CAN / LIN tests Rotation remote control unit: stepper motor (step angle 0.00703125°) + harmonic reducer (1:100) Test case: Case 1: 32-channel terminal mixed test (16-channel DC, 8-channel CAN, 8-channel RS485), temperature distribution 25℃, 100℃, 200℃ Case 2: Extreme temperature zone test (16 terminals at -70°C and 200°C, tested alternately). The test results are compared in Table 10. The test efficiency in different temperature zones is shown in Table 11. Traditional method: 12%, optimized: 1.5% (Bayesian network prediction 500ms in advance, redundant channel switching success rate 99%). Motor positioning error rate: Traditional method: 8%, optimized: 0.8% (PID closed-loop correction speed increased by 3 times, ±0.1° accuracy achieved at 99.2%). Summary of implementation effects Improved efficiency: Through temperature continuity optimization and parallel test scheduling, single-batch testing time was shortened by 63%, and temperature change losses were reduced by 61%, significantly improving equipment utilization. Load balancing: The standard deviation of vector module load is reduced by 52%, avoiding test deviations caused by local overloads and extending equipment life by more than 20%. Enhanced reliability: The probability of contact failure and positioning deviation is reduced by more than 85%. Combined with the fault self-healing mechanism, 72 hours of trouble-free operation is achieved. Test data shows that the genetic algorithm significantly outperforms traditional scheduling methods in terms of multi-objective optimization (time, load, and parallel efficiency) and adaptability to extreme environments, meeting the requirements of high and low temperature test chambers for efficient and reliable testing. The genetic algorithm optimization results are shown in Table 12. Through the intelligent optimization of genetic algorithms, combined with high-precision motion control and signal switching technology, the optimal allocation of test resources and reliable operation in extreme environments are achieved, significantly improving the test efficiency and accuracy of high and low temperature test chambers. Relay continuity test: Eligibility: R on < R threshold 、 R on = V test / I test in: V test = Test voltage (1V), I test = test current; R threshold = Turn-on threshold (100mΩ) Insulation resistance test: Eligibility: R insulation > R insthreshold ， R insulation = V test / (I leakage -I bias ) Where: V test = Test voltage (500V DC), I leakage = Leakage current, I bias = bias current, R ins_threshold = Insulation threshold (100MΩ) Switching time measurement: t switch = t high -t low， Where: t high = Signal rising edge time, t low = Signal falling edge time Experiments have shown that genetic algorithms significantly outperform traditional scheduling methods in multi-objective optimization (time, load, and parallel efficiency) and adaptability to extreme environments, meeting the requirements for efficient and reliable testing in high- and low-temperature test chambers. While embodiments of the present invention have been described in detail above with reference to the accompanying drawings, the present invention is not limited to these embodiments. Various modifications are possible within the scope of knowledge of those skilled in the art without departing from the spirit of the present invention.

Claims

1. A test access device for an information collection terminal used in a high and low temperature test chamber, characterized by: include: A support frame (1) and a rotatable frame (2) vertically extending through the support frame (1); the upper and lower ends of the frame (2) are connected by a central axis and extend from the upper and lower ends to the top of the support frame (1) for rotation; a plurality of panels (7) are provided on the side walls of the frame (2); a test assembly (701) is provided on each panel (7); the test assembly (701) includes a terminal access table support base (10) fixed to the panel (7) by a fastener; a terminal access table support spring test pin (11) is installed on the upper end of the terminal access table support base (10); the plurality of terminal access table support spring test pins (11) are electrically connected to components of a rotation remote control control unit (12) and a signal switching unit (13) provided outside the support frame (1) through data lines, and different test signals are sent to the corresponding terminal access table support spring test pins (11) via the rotation remote control control unit (12) and the signal switching unit (13) through the data lines.

2. The information collection terminal test access device for a high and low temperature test chamber according to claim 1, characterized in that: The support frame (1) is configured to be a 120° hollowed-out layout in a three-dimensional spatial structure, and pressure gauge bases (801) are welded on the panels (7). The pressure gauge bases (801) are respectively arranged directly above the corresponding terminal access table support spring test pins (11).

3. The information collection terminal test access device for a high and low temperature test chamber according to claim 2, characterized in that: A pressure gauge limit block (803) is slidably provided on the pressure gauge base (801), and a square hole is provided on the pressure gauge limit block (803). A signal switching unit (802) is rotatably provided between the pressure gauge base (801) and the corresponding square hole on the pressure gauge limit block (803), and extends in a direction opposite to the connection point of the pressure gauge base (801) toward the square hole of the pressure gauge limit block (803).

4. The information collection terminal test access device for a high and low temperature test chamber according to claim 3, characterized in that: A test terminal (9) is provided between the pressure gauge limit block (803) and the corresponding terminal access meter support base (10), and the lower end test end of the test terminal (9) is plug-connected with the corresponding terminal access meter support spring test pin (11), and the piezoelectric ceramic actuator of the pressure gauge limit block (803) is driven to dynamically adjust the gap through the finite element simulation pre-trained deformation compensation model, with a compensation accuracy of ±2μm; wherein the finite element simulation pre-trained deformation compensation model includes multi-field data acquisition module, a data feature extraction module, a deep learning calculation module, a parameter mapping module and a dynamic error correction module, wherein the output end of the multi-field data acquisition module is connected to the input end of the data feature extraction module, the output end of the data feature extraction module is connected to the input end of the deep learning calculation module, the output end of the deep learning calculation module is connected to the input end of the parameter mapping module, and the output end of the parameter mapping module is connected to the input end of the dynamic error correction module.

5. The information collection terminal test access device for a high and low temperature test chamber according to claim 1, characterized in that: A driving motor (4) is fixedly mounted on the support frame (1), a rotating driving gear (3) is mounted on the output shaft of the driving motor (4) via a key pin, and the rotating driving gear (3) is arranged within the hollowed-out range of the support frame (1), wherein the driving motor (4) is a wireless remote-controlled motor.

6. The information collection terminal test access device for a high and low temperature test chamber according to claim 5, characterized in that: A rotating driven gear (5) is mounted on the central axis portion at the upper end of the frame (2) via a key pin, and the rotating driven gear (5) is meshed with the rotating driving gear (3); a device terminal access box (6) is provided on the support frame (1), and a data line for data communication with the rotating remote control unit (12) and the signal switching unit (13) is provided inside, and is electrically connected to a test system (14) via the data line; the test system (14) is connected to a host computer; and the panel is made of aluminum alloy.

7. A method for testing and accessing an information collection terminal for a high and low temperature test chamber, characterized in that: An information collection terminal test access device for a high and low temperature test chamber as described in any one of claims 1 to 6 is characterized in that it comprises the following steps: Step 1: Install the test terminal (9) on the test assembly (701), start the rotation remote control unit (12), calibrate the initial position of the frame (2) through the calibration module, so that the test assembly (701) of each panel (7) is aligned with the reference of the support frame (1); the signal switching unit (13) performs self-test to enable the switching unit to realize automatic switching of the signal, and verify the conduction state and insulation performance of the relay matrix channel; Step 2: Set the target temperature of the high and low temperature test chamber, start the temperature control system, and pre-adjust the contact gap between the panel (7) and the test component (701) through the thermal expansion compensation mechanism to compensate for the expected thermal deformation; and monitor the micro-strain of the panel (7) in the range of -70°C to 200°C in real time through the distributed fiber grating sensor network with an accuracy of ±0.5με; Step 3: Connect the terminal. Fix the information collection terminal to the terminal access table base (10). Apply a contact force of 5N±0.5N through the pneumatic crimping mechanism to ensure that the terminal interface is in close contact with the spring test pin (11). Trigger the contact pressure detection circuit to verify whether the pin compression amount meets the standard. If abnormal, trigger an alarm and terminate the process. Step 4: Rotate the remote control unit (12) to receive the test sequence instruction, drive the stepper motor to drive the frame (2) to rotate to the target panel (7) position through the harmonic reducer, and the positioning accuracy is ±0.1° positioning accuracy; The calibration module feeds back the position signal in real time, and the closed-loop control system corrects the angle deviation to ensure that the test component (701) is accurately aligned with the terminal interface under test; Step 5: Switch the signal switching unit (13) to the DC power supply output mode, apply the voltage in a 1mV step gradient according to the preset 0→30V, and collect the terminal's response current and voltage fluctuation data through the 24-bit ADC; send a standard test message by switching to the RS485 or CAN or LIN communication channel, and record the terminal response time, bit error rate and protocol compliance; and add a vector network analysis module in the front stage of the signal switching unit (13), wherein the vector network analysis module includes a phase accumulator, a digital-to-analog converter, a dynamic frequency division ratio calculation module of a dynamic compensator for thermal expansion coefficient and an information analysis unit; Receive real-time thermal deformation data of the panel (7) sent by the rotation remote control unit (12); automatically adjust the contact pressure of the relay matrix, and fine-tune the relay contact spacing through the piezoelectric ceramic driver to ensure stable contact resistance at high and low temperatures; Step 6. When testing at low temperatures below -40°C, start the pulse heating function of the pin (11) to maintain the contact point temperature > -40°C to prevent frost from causing contact failure; when testing at high temperatures above +150°C, enable the thermal isolation barrier to reduce the heat conduction rate from the pin to the base to ensure the stability of the test signal; activate multiple test channels simultaneously through the channel matrix relay, and improve the test capability through 32-way terminal parallel testing.

8. The method for testing and accessing an information collection terminal for a high and low temperature test chamber according to claim 7, characterized in that: In the step 1, the working method of the rotation remote control unit (12) includes the following steps: Step 1: Turn the remote control to analyze the control instructions; The rotation control test instruction of the test terminal (9) is received through the host computer or the built-in test sequence generator, and the instruction format is the Modbus protocol or the TCP / IP standardized protocol. The instruction at least includes the target position angle, the rotation direction and the speed parameter. According to the position of the target position of the test terminal (9), the optimal rotation path and the shortest angle difference of the frame (2) are calculated, and the deformation amount generated by the thermal expansion compensation mechanism is predicted to dynamically adjust the motion parameters; Step 2: motion control; The stepper motor control command is started, and the harmonic reducer is adjusted according to the position of the panel (7) to convert the high-speed low-torque output of the motor into low-speed high-torque to accurately control the rotation of the frame (2); the angular resolution of each step of the stepper motor is ±0.01°, and the positioning accuracy is ±0.1°; the calibration module collects the frame rotation angle in real time through the photoelectric encoder and feeds the position signal back to the remote control unit; the test sequence is optimized based on the genetic algorithm, and the resources of the vector network analysis module are automatically allocated, which shortens the test time of a single batch of 32 terminals from 4 hours to 1.5 hours; Step 3: Closed-loop correction; By comparing the target and actual angles using an improved PID algorithm, the motor pulse frequency and direction are dynamically adjusted to compensate for mechanical transmission errors and load disturbances, ensuring rapid convergence to the target position. During high and low temperature tests, the unit receives temperature data from the temperature control system, predicts the difference in thermal expansion coefficients between the panel (7) and the test component (701), and automatically adjusts the contact gap through the thermal expansion compensation mechanism to avoid alignment offset caused by deformation. Step 4: Collaborative triggering; If an over-limit deviation of >±0.2° is detected during the positioning process, the motor is blocked or the signal is lost, the unit immediately triggers an emergency stop and reports the fault code to the monitoring interface, and at the same time cuts off the power supply to protect the equipment; the stepper motor is adjusted to an angle deviation of ≤±0.1° under closed-loop control; when the frame positioning is completed, the remote control unit sends a ready signal to the signal switching unit (13), triggering it to switch to the specified test mode, thereby achieving seamless connection between mechanical movement and electrical testing; Step 5: Collaborative triggering; Step 51, initialize the test access state of the test terminal (9) using the information collection terminal according to the constraint conditions of the multi-target state instruction allocation model, and randomly generate N state individuals; Step 52: Calculate the rotational fitness of each state individual; Step 53: Test each state individual in the access state of the test terminal (9) using the information collection terminal Perform the following operations: 1) Randomly select three individuals in different states from p from the test terminal (9) using the information collection terminal to test the access state: 2) Randomly select a gene position ; 3) Generate new state individuals through differential evolution. For each gene of the new state individual, the specific generation process is: In formula (1), Represented as the representative value of a randomly selected gene position, It represents the subscript of the representative value of the new state individual, and p represents each state individual in the access state tested by the test terminal (9) using the information collection terminal. is the crossover probability; Expressed as a scaling factor; 4) Evaluate the fitness of the new state individual q; 5) Judge the pros and cons of the state individuals according to the non-dominated sorting and divide them into levels, and fill the state individuals into the new information collection terminal test access state in descending order; Step 54, when all the state individuals of a certain level are filled in and the state individual data in the new information collection terminal test access state is greater than N, then arrange the state individuals in the level according to the order of the test terminal (9)'s needs, and eliminate the state individuals with low needs until the number of state individuals in the test access state of the test terminal (9) is N; Step 55: Determine whether the end condition, that is, the number of iterations, is met. If so, exit the loop; otherwise, jump to step 53.

9. The method for testing and accessing an information collection terminal for a high and low temperature test chamber according to claim 7, characterized in that: In the step 1, the working method of the rotation remote control unit (12) includes the following steps: In the step 5, the working method of the signal switching unit (13) is as follows: control signal input: using a 128-channel high-density relay matrix, integrating a 24-bit high-precision ADC and a 16-bit DAC, receiving different control signals from the control unit through physical channel isolation switching, and different control signals determine the closing or opening of different types of relays; the control signal is provided by the microcontroller control system; the phase / impedance calibration parameters output by the vector network analysis module are processed in real time by the FPGA, driving the relay matrix to execute the channel switching instruction, and synchronously triggering the 24-bit ADC to collect terminal response data; Signal path switching: Based on control signals, relays in the relay matrix operate, changing the signal path. The terminal input impedance is calculated through the information analysis unit, and the adjustable matching network at the front end of the relay matrix is ​​automatically configured. A 100mA test current is applied, and the contact resistance is measured through the 24-bit ADC, triggering the piezoelectric ceramic fine-tuning mechanism to compensate for the contact gap. Multi-channel signal management: A real-time impedance scanning algorithm is integrated into the vector network analysis module to monitor changes in terminal input impedance every 10ms, automatically switching the LC matching network at the front end of the relay matrix, reducing the signal reflection coefficient from Γ≤0.2 in the traditional solution to Γ≤0.

05. A channel fault prediction model based on a Bayesian network analyzes contact resistance, signal bit error rate, and temperature curve parameters in real time, predicting relay contact failure 500ms in advance. Automatic switching of adaptive data channels and simultaneous management of multiple input and output signals enable complex signal switching and distribution.

10. The method for testing and accessing an information collection terminal for a high and low temperature test chamber according to claim 8, characterized in that: The method of automatically allocating vector network analysis module resources by optimizing the test sequence using genetic algorithm is as follows: Step (1), encoding and population initialization; Chromosome encoding maps the test sequence to an ordered chromosome, where each gene represents a test task. Gene parameters include at least terminal ID, test type, temperature point, priority, estimated time, and preconditions. Chromosome = [Task 1, Task 2, ..., Task n ], where task ᵢ = (terminal ID ᵢ, test type ᵢ, ..., temperature point ᵢ); generate initial solutions based on a greedy strategy: prioritize test tasks with similar temperatures to reduce temperature change waiting time; perform local swapping on greedy solutions to generate a diverse initial population; Step (2): Set the objective function and calculate the fitness function; set the multi-objective optimization model, In formula (2), Represent weight coefficients of different values ​​respectively; in formula (2), Total test time: Total time = ∑(task duration) + ∑(temperature stabilization time); Temperature stabilization time = f(ΔT) = k·|T1-T2|*α (k=0.5~2min / °C, α=0.8~1.2); f2(S) = Load balancing: used to measure the usage balance of the vector network analysis module; Load balancing f3(S) = Parallel efficiency: the proportion of parallel testing time to total testing time Parallel efficiency = parallel testing time / total time; Step (3), select the operator; P(selected) = exp(fitness(S) / T) / ∑exp(fitness(Sⱼ) / T) (4) In formula (4), T is the temperature parameter; Mutation operator: The crossover probability is: Pc = Pc0-(Pc0-Pc1)·(t / T) (5) Mutation probability: Pm = Pm0 + (Pm1-Pm0)·(t / T) (6) In formula (6), t = current iteration, T = total number of iterations; Step (4): The motion control equation based on the above genetic algorithm is: θ(t) = θ0 + (ω0·t + ½·α·t²)·(1 / i) (7) In formula (7), θ(t) = angular position at time t; θ0 = initial angle; ω0 = initial angular velocity of the motor; α = angular acceleration; i = reduction ratio of the harmonic reducer, which is 1:100; The encoder feedback control function is: In formula (8), e(t) = angular error; K p =100,K i =5,K d =2.

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