Rail transit platform door multi-path infrared laser landing point multi-dimensional verification tool and method

Abstract

The application discloses a multi-path infrared laser landing point multi-dimensional verification tool for a rail transit platform door and a multi-path infrared laser landing point multi-dimensional verification method for the rail transit platform door, and relates to the technical field of rail transit platform door safety inspection. The verification tool comprises a photoelectric collection module, a multi-path gating module, a signal buffering and isolating module, a main control operation and transmission module and a local display module, and is mainly used for monthly point inspection, optical path calibration and fault troubleshooting of a 980nm infrared laser transmitting-receiving safety loop of a subway rail transit platform door, realizes single-person digital verification, and solves the industry pain points of large human consumption in a traditional double-person manual naked-eye observation mode, no unified quantitative standard for judgment, difficulty in identifying a tiny three-dimensional light beam offset, and inability to store and trace detection data.

Description

Technical Field

[0001] This invention belongs to the field of rail transit platform door verification technology, and in particular relates to a multi-dimensional verification tooling and method for multi-channel infrared laser landing points of rail transit platform doors. Background Technology

[0002] Platform screen doors in rail transit stations are generally equipped with 980nm infrared laser beam safety circuits to ensure safety. Suzhou Rail Transit Lines 5, 6, 7, 8, and 11 all utilize this type of circuit. Currently, monthly inspections, optical path calibration, and troubleshooting primarily rely on a two-person manual observation mode for optical path adjustments.

[0003] This traditional operating mode requires two certified maintenance personnel: one adjusts the laser transmitter at the platform, while the other visually observes the light spot at the receiver, communicating via walkie-talkie to complete the debugging. Single-platform operation continuously requires two people, resulting in significant pressure on team personnel allocation and making the operating mode constrained by manpower limitations. Furthermore, the centering of the light spot and its effective coverage area rely on subjective human judgment, lacking a unified quantitative standard. Different maintenance personnel have varying evaluation criteria, leading to frequent deviations during retesting after calibration, resulting in a rework rate of up to 18%, increasing the risk of platform door safety circuit malfunctions.

[0004] Current observation methods can only observe single-layer, single-point light spots, and cannot simultaneously acquire complete light intensity information for the upper, middle, and lower layers. Minor three-dimensional shifts in the light beam are difficult to identify, and troubleshooting a single station can take an average of 40 minutes, resulting in low maintenance efficiency. Furthermore, maintenance personnel need to remain in the track area for extended periods to observe the light spots at close range, leading to low time utilization. Traditional methods lack data storage and wireless transmission capabilities, making it impossible to retain and archive detection data related to optical path shifts, hindering the review and tracing of faulty optical paths, and failing to meet the management requirements of standardized operation and maintenance in rail transit.

[0005] The procurement cost of existing general-purpose optical inspection equipment on the market is as high as tens of thousands of yuan. The equipment is bulky and difficult to adapt to the narrow working space of subway platforms. Ordinary simple photoelectric inspection equipment can only complete data acquisition of a small number of channels on a single layer. It does not have functions such as filtering and noise reduction, spot centroid calculation, and long-distance Bluetooth transmission, and cannot meet the actual use needs of three-layer laser synchronous inspection of subway platform doors. Summary of the Invention

[0006] The purpose of this invention is to provide a multi-dimensional verification tool for the multi-channel infrared laser landing point of rail transit platform doors, and a multi-dimensional verification method for the multi-channel infrared laser landing point of rail transit platform doors using this tool. It is mainly used for monthly inspection, optical path calibration and fault diagnosis of the 980nm infrared laser through-beam safety circuit of metro rail transit platform doors, realizing single-person digital verification, and solving the industry pain points of the traditional two-person manual visual observation mode, such as high manpower consumption, lack of unified quantitative standards for judgment, difficulty in identifying small three-dimensional beam deviations, and inability to retain and trace detection data.

[0007] The technical solution of the present invention is: a multi-channel infrared laser landing point multi-dimensional verification tooling for rail transit platform doors, including a photoelectric acquisition module, a multi-channel selection module, a signal buffer isolation module, a main control calculation and transmission module, and a local display module; The photoelectric acquisition module includes three independent 5×5 photoelectric arrays, one above, one in the middle, and one below, corresponding to the upper, middle, and lower infrared laser beams of the platform door. Each layer contains 25 infrared photodiodes. The three layers are arranged vertically to form a total of 75 photosensitive channels, which are used to convert the received infrared laser light intensity into an analog voltage signal. The multi-channel selection module has its input end connected to the output end of the photoelectric acquisition module, and receives the address control signal output by the main control operation and transmission module, and selects 75 photosensitive channels of analog voltage signals to output them outward in a time-division manner. The signal buffer isolation module has its input terminal connected to the output terminal of the multiplexing module, and performs voltage following isolation processing on the analog voltage signal output by the multiplexing module through multiple switching. The main control computing and transmission module has its input end connected to the output end of the signal buffer isolation module. The main control computing and transmission module includes an MCU microcontroller and an ADC analog-to-digital converter integrated inside the MCU microcontroller. The ADC analog-to-digital converter is used to receive the isolated analog voltage signal and complete the analog-to-digital conversion. The MCU microcontroller is used to perform baseline calibration, IIR integer low-pass filtering, spot weighted centroid calculation, and optical path alignment determination. The local display module is connected to the main control computing and transmission module via an I2C bus and is used to display the spot detection results on site.

[0008] As a preferred technical solution, a wireless interactive terminal module is also included. The MCU microcontroller integrates a Bluetooth hardware unit and transmits spot detection data to the wireless interactive terminal module through the Bluetooth hardware unit.

[0009] As a preferred technical solution, the multi-channel selection module includes one 3-to-8 decoder and six 16-channel analog switches; the main control operation and transmission module outputs a 3-bit address control signal to the 3-to-8 decoder, the 3-to-8 decoder outputs an enable level in a time-division manner, and sequentially switches the six 16-channel analog switches to realize the time-division selection output of 75 photosensitive channel analog voltage signals.

[0010] As a preferred technical solution, the signal buffer isolation module includes a multi-channel operational amplifier buffer, with each selected analog signal channel configured with an operational amplifier buffer for voltage follower isolation.

[0011] As a preferred technical solution, a portable mechanical assembly structure is also included; the portable mechanical assembly structure includes a U-shaped positioning bracket, an integrated protective shell, and a Type-C power supply interface, wherein the U-shaped positioning bracket is used to fix the tooling as a whole to the laser receiver end of the platform door.

[0012] A method for multi-dimensional verification of the landing point of multiple infrared lasers at rail transit platform doors, implemented using the aforementioned multi-dimensional verification fixture for the landing point of multiple infrared lasers at rail transit platform doors, includes the following steps: Step S1: Power on the device to complete hardware initialization; Step S2: In a dark environment, collect data from 75 photosensitive channels multiple times, take the average value, and obtain and store the ambient light baseline; Step S3: The main control operation and transmission module selects 75 photosensitive channels in a time-division manner according to a set period through a 3-8 decoder and a 16-channel analog switch, samples the channel signals, performs double sampling and de-jitter processing on a single channel, and obtains the original light intensity signal; Step S4: Perform IIR integer low-pass filtering on the raw light intensity data for smoothing and noise reduction; Step S5: Set the light intensity detection threshold T, perform threshold binarization on the filtered light intensity data, count the effective area of ​​the light spot, and then use the light intensity as the weight to calculate the weighted centroid coordinates of the light spot in the X and Y directions. Step S6: If the centroid coordinates fall within the range of 1.5 to 2.5 and the effective area of ​​the light spot is ≥9 photosensitive points, then the optical path is determined to be aligned; otherwise, it is determined to be an optical path offset fault. Step S7: Output the spot detection results locally in real time through the local display module; Step S8: Transmit complete spot data, including spot centroid, spot area, and light intensity of each channel, to the outside via Bluetooth hardware unit; Step S9: The wireless interactive terminal module receives data to complete the visualization of the light spot, parameter threshold adjustment, and detection record storage; Step S10: Based on the feedback of the light spot quantization results, the operator completes the single-person closed-loop optical path calibration on the laser emission side. After calibration, the detection record with timestamp and geostamp is stored and the calibration report is exported.

[0013] As a preferred technical solution, the period in step S3 is set to 80ms, and 12.5 frames of complete spot data are output per second.

[0014] As a preferred technical solution, the formula for calculating the effective area of ​​the light spot and the weighted centroid coordinates in step S5 is as follows: Effective area of ​​light spot S = ∑ count (I(x,y)>T) The weighted centroid of the light spot in the X direction is Cx = ∑(x・I) / ∑I; The weighted centroid of the light spot in the Y direction is Cy = ∑(y・I) / ∑I; Where: x is the X-axis coordinate of the photoelectric array unit, which is the position number of the photosensitive point in the horizontal direction of the 5×5 array, and the value ranges from 0 to 4; y is the Y-axis coordinate of the photoelectric array unit, which is the position number of the photosensitive point in the vertical direction of the 5×5 array, and the value ranges from 0 to 4. I(x,y) is the actual light intensity sample value of the photosensitive unit at coordinate (x,y) after subtracting the ambient light baseline; T is the light intensity detection threshold, adjustable range: 5~2000; ∑(x・I) is the sum of the products of the X coordinate and the corresponding light intensity of all effective photosensitive units that satisfy I(x,y)>T; ∑(y・I) is the sum of the products of the Y coordinate and the corresponding light intensity of all effective photosensitive units that satisfy I(x,y)>T; ∑I is the sum of the light intensities of all effective photosensitive units that satisfy I(x,y)>T.

[0015] As a preferred technical solution, the optical path alignment determination formula in step S6 is: If |Cx-2|≤0.5 and |Cy-2|≤0.5, then S≥9.

[0016] As a preferred technical solution, step S7 involves using a yellow-blue dual-color OLED display screen for local real-time visualization output, with the screen partitioned and simultaneously displaying the centroid coordinates, spot area, and alignment / offset fault status of the three-layer laser optical path.

[0017] The advantages of this invention are: 1. Innovative Operation Mode: This invention breaks the traditional two-person collaborative maintenance operation mode of laser optical path for rail transit platform doors, realizing independent digital verification operation by a single person; compared with the existing solution, the manpower input is reduced by 50%, the number of personnel working in the track area is reduced, the safety risks caused by multiple people working in the track area are reduced, and the time utilization efficiency of nighttime track openings is effectively improved.

[0018] 2. Low-cost multi-channel acquisition hardware architecture innovation: It adopts a channel expansion architecture with one 3 / 8 decoder and six 16-channel analog switches, combined with multi-channel operational amplifier buffers, to complete stable synchronous acquisition of 75 photosensitive channels using only general-purpose components. It does not require expensive special optical components, and the manufacturing cost of the tooling and the whole machine is controlled within 1,000 yuan, which greatly reduces the equipment investment cost.

[0019] 3. Embedded detection algorithm innovation: The system integrates a complete embedded algorithm system, including power-on baseline self-calibration, IIR integer low-pass filtering, spot weighted centroid calculation, and dual-condition alignment judgment. This system overcomes the inherent defects of human visual interpretation, eliminates errors caused by subjective human judgment, reduces the optical path calibration rework rate to zero, and achieves a unified optical path quantification judgment standard across the entire line.

[0020] 4. Long-distance wireless data traceability innovation: Adopting a Bluetooth communication solution, it is adapted to the complex electromagnetic interference environment of subway tunnels; paired with a wireless interactive terminal module (mobile APP terminal) to complete the visualization of light spot heat map, the detection data can be completely stored and archived, and support record traceability and report export, meeting the data retention and fault review management needs of smart operation and maintenance of rail transit.

[0021] 5. Portable and lightweight mechanical structure innovation: The tooling adopts an integrated handheld structure, which is suitable for the narrow working space of subway platforms and track areas; the main components of the whole machine are all standard parts, eliminating the need for customized non-standard parts, which facilitates mass production and can be quickly replicated and promoted to multiple rail transit lines for optical path verification operations. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. The accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] The present invention will be further described below with reference to the accompanying drawings and embodiments: Figure 1 This is a block diagram of the overall architecture of the verification tooling of the present invention; Figure 2 This is a schematic diagram showing the arrangement of three independent 5×5 optoelectronic arrays: upper, middle, and lower layers. Figure 3 This is a block diagram of the multi-channel acquisition circuit connection. Figure 4 This is a flowchart illustrating the verification method of the present invention. Figure 5 A schematic diagram illustrating the principle of calculating the weighted centroid of a light spot. Figure 6A schematic diagram of the interface layout of the OLED local display module; Figure 7 This is a schematic diagram of the main interface of a mobile app. Figure 8 This is a screenshot of the channel details pop-up window for the mobile app. Figure 9 This is a diagram illustrating the threshold adjustment pop-up window in a mobile app. Figure 10 A schematic diagram of the layout for exporting calibration reports from a mobile app. 10. Photoelectric acquisition module; 20. Multi-channel selection module; 30. Signal buffer isolation module; 40. Main control computing and transmission module; 50. Local display module; 60. Bluetooth hardware unit; 70. Mobile APP terminal. Detailed Implementation

[0024] The above-described solution will be further illustrated below with reference to specific embodiments. It should be understood that these embodiments are for illustrative purposes only and are not intended to limit the scope of the invention. The implementation conditions used in the embodiments may be further adjusted according to the conditions of specific manufacturers, and the implementation conditions not specified are generally those in routine experiments.

[0025] This invention discloses a multi-dimensional verification tool for the landing point of multiple infrared lasers on rail transit platform doors, and a multi-dimensional verification method for the landing point of multiple infrared lasers on rail transit platform doors using this tool. It is mainly used for monthly inspection, optical path calibration and fault diagnosis of the 980nm infrared laser through-beam safety circuit of metro rail transit platform doors. It realizes single-person digital verification and solves the industry pain points of the traditional two-person manual visual observation mode, such as high manpower consumption, lack of unified quantitative standards for judgment, difficulty in identifying small three-dimensional beam deviations, and inability to retain and trace detection data.

[0026] like Figures 1 to 3 As shown, the hardware of the multi-channel infrared laser landing point multi-dimensional verification fixture for rail transit platform doors of the present invention mainly includes a photoelectric acquisition module 10, a multi-channel selection module 20, a signal buffer isolation module 30, a main control calculation and transmission module 40, a local display module 50, and a mechanical assembly portable structure; it is also equipped with an external wireless interactive terminal module, which is a mobile APP terminal 70, not part of the fixture itself, but used as an external device.

[0027] The photoelectric acquisition module 10 includes three independent 5×5 photoelectric arrays: upper, middle, and lower. Each array consists of 25 BPW34 model 980nm infrared PIN photodiodes. The three arrays are arranged vertically to form a total of 75 light-sensing channels. The three arrays correspond to the upper, middle, and lower 980nm infrared laser beams of the platform door, respectively. The infrared PIN photodiodes convert the received infrared laser light intensity into an analog voltage signal for output.

[0028] The multiplexing module 20 consists of one 74HC138 3 / 8 decoder and six CD74HC4067 16-channel analog switches (multiplexers). The ESP32-C3 microcontroller outputs a 3-bit address control signal to the 74HC138 3 / 8 decoder. The 74HC138 3 / 8 decoder outputs an enable level in a time-division manner, which sequentially controls the six CD74HC4067 16-channel analog switches to complete the time-division multiplexing output of 75 channels of photosensitive analog signals.

[0029] The signal buffer isolation module 30 is equipped with multiple LM358 operational amplifier buffers. Each selected analog signal channel is configured with an LM358 operational amplifier buffer to form a voltage follower. This provides high impedance isolation for the multi-channel switched analog voltage signals, eliminates channel crosstalk and voltage glitches, suppresses sampling drift caused by tunnel electromagnetic interference and environmental stray light, and ensures the stability of ADC sampling data.

[0030] The main control and transmission module 40 uses an ESP32-C3 microcontroller, which integrates a 12-bit high-precision ADC analog-to-digital converter, hardware I2C peripherals, and a BLE5.0 Bluetooth hardware unit 60. The ESP32-C3 microcontroller has an embedded firmware program burned into its internal Flash memory. After the device is powered on, the embedded firmware program is run to realize the data processing logic of baseline calibration, IIR integer low-pass filtering, spot weighted centroid calculation, and optical path alignment determination.

[0031] The ADC (Analog-to-Digital Converter) unit of the ESP32-C3 microcontroller receives the analog voltage signal isolated by the signal buffer isolation module 30 and completes the analog-to-digital conversion. The ESP32-C3 microcontroller runs the internal embedded firmware program to complete data processing. After processing, it drives the local display module 50 to display the detection results locally. On the other hand, it transmits the spot detection data to the outside through the (BLE5.0) Bluetooth hardware unit 60 in packets. The BLE5.0 Bluetooth transmit power is configured to +9dBm, which can achieve stable wireless data transmission over a distance of 35 meters in a tunnel environment.

[0032] The local display module 50 uses a 0.96-inch yellow and blue dual-color OLED display (SSD1306, 128×64), which is connected to the ESP32-C3 microcontroller via the I2C bus.

[0033] The portable mechanical assembly structure includes a U-shaped positioning bracket, an integrated protective shell, and a Type-C power supply interface. The U-shaped positioning bracket can clamp and fix the entire tooling to the laser receiver of the platform door, making it suitable for subway tunnels and narrow working spaces on platforms.

[0034] The workflow of the multi-channel infrared laser landing point multi-dimensional verification method for rail transit platform doors of the present invention is as follows: Figure 4 , Figure 5 As shown, after the device is powered on, it first performs hardware initialization, followed by baseline self-calibration in the absence of light. It collects sampling data from all 75 photosensitive channels under 20 rounds of no-light conditions, averages the data, and stores the ambient light baseline. This baseline is automatically subtracted from the sampling data in subsequent sampling processes to eliminate interference from stray ambient light. The device performs time-division multiplexing sampling at 80ms intervals, performs double-sampling debouncing on a single channel, and outputs 12.5 frames of complete light spot data per second. After acquiring the raw light intensity data, it performs IIR integer low-pass filtering for smoothing and noise reduction. This filtering uses integer operations, eliminating the need for floating-point calculations, and is suitable for low-computing embedded MCUs.

[0035] After filtering, a light intensity detection threshold T is set. The adjustable range of threshold T is 5~2000, and the default value is 30. The filtered light intensity data is then subjected to threshold binarization. The effective area S of the light spot is calculated, and the weighted centroid Cx and weighted centroid Cy of the light spot in the X direction are calculated using light intensity as the weight. Where: the effective area of ​​the light spot S = ∑ count (I(x,y)>T); the weighted centroid Cx of the light spot in the X direction = ∑(x・I) / ∑I; the weighted centroid Cy of the light spot in the Y direction = ∑(y・I) / ∑I; x and y are the X and Y coordinate indices of the 5×5 photoelectric array, respectively, with values ​​ranging from 0 to 4; I(x,y) is the light intensity sample value of the photosensitive unit at coordinate (x,y) after deducting the ambient light baseline; all light intensity data involved in the calculation satisfy the condition I(x,y)>T.

[0036] The optical path alignment is determined using a dual-condition rule: if both |Cx-2|≤0.5 and |Cy-2|≤0.5 are met, and the effective area S of the light spot ≥ 9 photosensitive points, then the optical path is considered aligned; otherwise, an optical path misalignment fault is determined. (Refer to...) Figure 6 As shown, the detection results are displayed in real-time on the (OLED) local display module 50, showing the centroid coordinates, spot area, alignment / offset status, etc. of the three-layer optical path; on the other hand, the spot data in JSON format is distributed externally via Bluetooth. (Refer to...) Figures 7 to 10 As shown, the external mobile APP terminal 70 receives data, completes the visualization of the laser spot heat map, adjusts the threshold parameters, and stores the detection records. It can generate a calibration report with timestamps and geolocation stamps. Operators only need to complete single-person closed-loop calibration on the laser emission side based on the real-time feedback of the laser spot quantization results. After calibration, the detection log is saved. After completing one frame of detection, the system returns to the sampling step and continues to detect in a loop.

[0037] Example 1: On-site testing of the downlink platform screen door of Suzhou Rail Transit Line 6 New District Railway Station used the tooling of this example to carry out single-person optical path calibration. This tooling is fixed to the laser receiver of the platform screen door by a U-shaped positioning bracket and powered by a Type-C power supply interface; the equipment automatically completes hardware initialization and baseline self-calibration when powered on.

[0038] Only one maintenance worker was stationed at the laser emitter to observe the light spot data output from the OLED screen and the mobile APP terminal, adjusting the three 980nm infrared lasers at the top, middle, and bottom of the platform door. The complete three-layer laser optical path calibration took a total of 18 minutes; the traditional two-person manual observation mode would take 41 minutes to complete the calibration at the same platform, resulting in a 56.25% reduction in working time.

[0039] This fixture accurately identifies a leftward shift in the mid-layer light spot and outputs quantized centroid coordinates X=1.3, Y=2.1. Maintenance personnel can then perform a one-time adjustment and calibration based on the quantized data, eliminating the need for rework. (Refer to the figure.) Figure 10 As shown, after calibration, the mobile APP terminal 70 stores the detection record with time and geolocation stamps, and outputs a laser alignment report for maintenance ledger archiving.

[0040] Example 2: Troubleshooting Laser Faults on the Upward Platform of Changjing Station, Suzhou Rail Transit Line 6. This platform experienced intermittent faults in the platform door laser safety circuit, requiring investigation of optical path offset. Traditional two-person, round-trip visual inspection took an average of 36 minutes. Using this fixture, all 75 channels of optical intensity data were simultaneously acquired at 80ms intervals. Under strong tunnel lighting conditions, baseline self-calibration combined with IIR integer filtering effectively suppressed strong light interference in the tunnel environment, resulting in no data drift. Bluetooth transmission at a distance of 30 meters in the tunnel was lossless. The fixture quickly located a slight optical path offset at the corner of the lower array. The overall fault diagnosis took 15 minutes. After fault location, the operators adjusted the optical path and saved the fault detection record for subsequent fault review and tracing.

[0041] The hardware manufacturing cost of the tooling unit is 500 yuan. The unit is assembled from standard components without any customized non-standard parts, which facilitates mass production and can be promoted for use on multiple rail transit lines.

[0042] This invention combines hardware architecture innovation with embedded algorithms to transform traditional two-person optical path inspection into single-person digital verification, reducing manpower input by 50% and avoiding the safety risks of multiple people working in the track area; it unifies quantitative judgment standards, eliminates the bias caused by subjective human judgment, and reduces the calibration rework rate to 0; it enables stable long-distance Bluetooth transmission in tunnel environments, and complete retention of detection records, meeting the data traceability management requirements of smart subway operation and maintenance.

[0043] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A multi-channel infrared laser landing point multi-dimensional verification fixture for rail transit platform doors, characterized in that, It includes a photoelectric acquisition module, a multi-channel selection module, a signal buffer isolation module, a main control processing and transmission module, and a local display module; The photoelectric acquisition module includes three independent 5×5 photoelectric arrays, one above, one in the middle, and one below, corresponding to the upper, middle, and lower infrared laser beams of the platform door. Each layer contains 25 infrared photodiodes. The upper, middle, and lower layers are arranged vertically to form a total of 75 photosensitive channels, which are used to convert the received infrared laser light intensity into an analog voltage signal. The multi-channel selection module has its input end connected to the output end of the photoelectric acquisition module, and receives the address control signal output by the main control calculation and transmission module, and selects 75 photosensitive channels of analog voltage signals to output them outward in a time-division manner. The signal buffer isolation module has its input terminal connected to the output terminal of the multiplexing module, and performs voltage following isolation processing on the analog voltage signal output by the multiplexing module through multiple switching. The main control computing and transmission module has its input end connected to the output end of the signal buffer isolation module. The main control computing and transmission module includes an MCU microcontroller and an ADC analog-to-digital converter integrated inside the MCU microcontroller. The ADC analog-to-digital converter is used to receive the isolated analog voltage signal and complete the analog-to-digital conversion. The MCU microcontroller is used to perform baseline calibration, IIR integer low-pass filtering, spot weighted centroid calculation, and optical path alignment determination. The local display module is connected to the main control computing and transmission module via an I2C bus and is used to display the spot detection results on site.

2. The multi-channel infrared laser landing point multi-dimensional verification fixture for rail transit platform doors according to claim 1, characterized in that, It also includes a wireless interactive terminal module, in which the MCU microcontroller integrates a Bluetooth hardware unit and transmits spot detection data to the wireless interactive terminal module through the Bluetooth hardware unit.

3. The multi-channel infrared laser landing point multi-dimensional verification fixture for rail transit platform doors according to claim 1, characterized in that, The multi-channel selection module includes one 3-to-8 decoder and six 16-channel analog switches. The main control operation and transmission module outputs a 3-bit address control signal to the 3-to-8 decoder. The 3-to-8 decoder outputs an enable level in a time-division manner and sequentially switches the six 16-channel analog switches to achieve time-division selection and output of 75 channels of photosensitive channel analog voltage signals.

4. The multi-channel infrared laser landing point multi-dimensional verification fixture for rail transit platform doors according to claim 1, characterized in that, The signal buffer isolation module includes multiple operational amplifier buffers. Each selected analog signal channel is configured with an operational amplifier buffer for voltage follower isolation.

5. The multi-channel infrared laser landing point multi-dimensional verification fixture for rail transit platform doors according to claim 1, characterized in that, It also includes a portable mechanical assembly structure; the portable mechanical assembly structure includes a U-shaped positioning bracket, an integrated protective shell and a Type-C power supply interface, wherein the U-shaped positioning bracket is used to fix the tooling as a whole to the laser receiver end of the platform door.

6. A method for multi-dimensional verification of the landing point of multiple infrared lasers at rail transit platform doors, implemented using the multi-dimensional verification fixture for the landing point of multiple infrared lasers at rail transit platform doors as described in any one of claims 1 to 5, characterized in that... Includes the following steps: Step S1: Power on the device to complete hardware initialization; Step S2: In a dark environment, collect data from 75 photosensitive channels multiple times, take the average value, and obtain and store the ambient light baseline; Step S3: The main control operation and transmission module selects 75 photosensitive channels in a time-division manner according to a set period through a 3-8 decoder and a 16-channel analog switch, samples the channel signals, performs double sampling and de-jitter processing on a single channel, and obtains the original light intensity signal; Step S4: Perform IIR integer low-pass filtering on the raw light intensity data for smoothing and noise reduction; Step S5: Set the light intensity detection threshold T, perform threshold binarization on the filtered light intensity data, count the effective area of ​​the light spot, and then use the light intensity as the weight to calculate the weighted centroid coordinates of the light spot in the X and Y directions. Step S6: If the centroid coordinates fall within the range of 1.5 to 2.5 and the effective area of ​​the light spot is ≥9 photosensitive points, then the optical path is determined to be aligned; otherwise, it is determined to be an optical path offset fault. Step S7: Output the spot detection results locally in real time through the local display module; Step S8: Transmit complete spot data, including spot centroid, spot area, and light intensity of each channel, to the outside via Bluetooth hardware unit; Step S9: The wireless interactive terminal module receives data to complete the visualization of the light spot, parameter threshold adjustment, and detection record storage; Step S10: Based on the feedback of the light spot quantization results, the operator completes the single-person closed-loop optical path calibration on the laser emission side. After calibration, the detection record with timestamp and geostamp is stored and the calibration report is exported.

7. The multi-dimensional verification method for multi-channel infrared laser landing points of rail transit platform doors according to claim 6, characterized in that, In step S3, the period is set to 80ms, and 12.5 frames of complete spot data are output per second.

8. The multi-dimensional verification method for multi-channel infrared laser landing points of rail transit platform doors according to claim 6, characterized in that, The formulas for calculating the effective area of ​​the light spot and the weighted centroid coordinates in step S5 are as follows: Effective area of ​​light spot S = ∑ count (I(x,y)>T) The weighted centroid of the light spot in the X direction is Cx = ∑(x・I) / ∑I; The weighted centroid of the light spot in the Y direction is Cy = ∑(y・I) / ∑I; Where: x is the X-axis coordinate of the photoelectric array unit, which is the position number of the photosensitive point in the horizontal direction of the 5×5 array, and the value ranges from 0 to 4; y is the Y-axis coordinate of the photoelectric array unit, which is the position number of the photosensitive point in the vertical direction of the 5×5 array, and the value ranges from 0 to 4. I(x,y) is the actual light intensity sample value of the photosensitive unit at coordinate (x,y) after subtracting the ambient light baseline; T is the light intensity detection threshold, adjustable range: 5~2000; ∑(x・I) is the sum of the products of the X coordinate and the corresponding light intensity of all effective photosensitive units that satisfy I(x,y)>T; ∑(y・I) is the sum of the products of the Y coordinate and the corresponding light intensity of all effective photosensitive units that satisfy I(x,y)>T; ∑I is the sum of the light intensities of all effective photosensitive units that satisfy I(x,y)>T.

9. The multi-dimensional verification method for multi-channel infrared laser landing points of rail transit platform doors according to claim 8, characterized in that, The optical path alignment determination formula in step S6 is: If |Cx-2|≤0.5 and |Cy-2|≤0.5, then S≥9.

10. The multi-dimensional verification method for multi-channel infrared laser landing points of rail transit platform doors according to claim 6, characterized in that, Step S7: Use a yellow and blue dual-color OLED display screen for local real-time visualization output, and display the centroid coordinates, spot area, and alignment / offset fault status of the three-layer laser optical path in a partitioned and synchronous manner.

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