An automatic test system for emergency evacuation indicating light fixtures

Abstract

This invention discloses an automatic testing system for emergency evacuation indicator lights, relating to the field of lighting production testing technology. The system includes a lighting testing module, a host computer, a slave computer, and a production tracking module. When testing begins, the host computer controls the image acquisition module to acquire images of the emergency evacuation indicator lights illuminated in a dark environment in real time and transmits the acquired images to the image analysis module for image processing. The system calculates the surface brightness value of the indicator lights based on the grayscale images. For defective products, the host computer drives the slave computer to adjust the parameters of the defective lights and then re-acquires images to obtain the surface brightness value until the surface brightness of the lights is acceptable, thus achieving automated testing of the emergency evacuation indicator lights. The production tracking module analyzes the production deviation of the production equipment based on the occurrence of defective signals, promptly reminding staff to inspect and calibrate the production equipment to avoid the production of defective products, thereby improving lighting production efficiency.

Description

Technical Field

[0001] This invention relates to the field of lighting production and testing technology, specifically an automatic testing system for emergency evacuation indicator lights. Background Technology

[0002] In recent years, with the development of the fire protection industry, the demand for fire protection electronic equipment has gradually increased. Among them, emergency evacuation indicator lights, as commonly used fire protection equipment, have seen a significant increase in demand.

[0003] The latest relevant standards stipulate that the surface brightness of emergency evacuation indicator lights must meet certain ranges. However, in the production and testing of emergency evacuation indicator lights, most manufacturers manually test the light brightness with handheld luminance meters. Lights that fail to meet the surface brightness requirements need to be disassembled and have their circuit parameters readjusted. This method is costly, inefficient, and the brightness quality is not effectively guaranteed due to the influence of ambient light. Furthermore, it can damage the eyes of testing personnel and easily lead to occupational diseases. Simultaneously, it cannot promptly repair and calibrate production equipment based on the production status of substandard lights, resulting in a large number of defective products and increasing production costs. Based on these shortcomings, this invention proposes an automatic testing system for emergency evacuation indicator lights. Summary of the Invention

[0004] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes an automatic testing system for emergency evacuation indicator lights. The system uses an image acquisition device to capture images of the emergency evacuation indicator lights illuminated in a dark environment. The acquired images are then processed to detect and identify the status and type of the indicator lights. The system calculates the surface brightness of the indicator lights based on the grayscale images. If the brightness is unqualified, the system automatically adjusts the circuit parameters of the indicator lights via bus communication, thereby achieving automated detection and calibration of the emergency evacuation indicator lights, as well as automated identification and verification of the indicator light type.

[0005] To achieve the above objectives, an automatic testing system for emergency evacuation indicator lights is proposed according to an embodiment of the first aspect of the present invention, comprising a light testing module, an image acquisition module, a host computer, a slave computer, and a production tracking module;

[0006] Once the lighting product testing phase begins, the host computer controls the image acquisition module to capture images of the emergency evacuation indicator lights illuminated in a dark environment in real time and transmits the captured images to the image analysis module for image processing. The specific processing procedure of the image analysis module is as follows:

[0007] Capture the current frame image and use image matching and recognition technology to identify the current status and type of the lighting fixture;

[0008] The brightness value of the lamp surface is calculated based on the grayscale image. The specific calculation formula is: V=a*x+b; where V represents the brightness value of the lamp surface, x is the grayscale mean of a local area of ​​the image; where the local area of ​​the image is an m*n rectangle, and a and b are constants.

[0009] The image analysis module is used to feed back the calculated surface brightness value V of the lamp to the host computer. The host computer compares the surface brightness value V of the lamp with the standard range. If V is outside the standard range, it means that the lamp is unqualified. The host computer sends an unqualified signal to the slave computer. After receiving the unqualified signal, the slave computer performs calibration measures.

[0010] During one work cycle of the lighting test, the production tracking module is connected to the lower-level machine to monitor non-conforming signals; and performs production deviation analysis on the production equipment based on the occurrence of non-conforming signals. If the production deviation ZT ≥ the preset deviation threshold, it indicates that the production status of the production equipment is not good at this time, and a maintenance signal is generated to remind the staff to inspect and calibrate the production equipment.

[0011] Furthermore, the specific analysis steps of the production tracking module are as follows:

[0012] Within a preset time period, the number of times the non-compliant signal occurs is counted as C1;

[0013] The time interval between the occurrence times of two adjacent signals is defined as the buffer period; the number of production lamps of the corresponding production equipment within each buffer period is counted as the buffer quantity, thus obtaining the buffer quantity information group; the buffer limit value GT is evaluated based on the buffer quantity information group.

[0014] The production bias ZT of the corresponding production equipment is calculated using the formula ZT=(C1×a3) / (GT×a4), where a3 and a4 are coefficient factors.

[0015] Furthermore, the specific evaluation process for the buffer limit value GT is as follows:

[0016] The standard deviation of the buffer quantity information group is calculated according to the standard deviation formula and labeled as α.

[0017] Traverse the buffer quantity information group, divide the difference between the maximum value Fmax and the minimum value Fmin by the minimum value Fmin to obtain the difference ratio Cb, that is, Cb=(Fmax-Fmin) / Fmin; use the formula CW=α×b3+Cb×b4 to calculate the steady state value CW, where b3 and b4 are coefficient factors;

[0018] The average value G1 of the buffer quantity information group is obtained according to the average value calculation formula. Then, the formula GT=(G1×a1) / (CW) is used. 2 ×a2+γ) 0.5The buffer limit value GT is calculated, where a1 and a2 are coefficient factors, and γ is the compensation factor.

[0019] Furthermore, the lighting test module is an enclosed cabinet to provide a stable lighting environment; a drawer is located in the middle of the side of the cabinet; the drawer has a slot for accurately placing emergency evacuation indicator lights; a magnetic door switch is installed on the edge of the drawer to trigger the start of testing for a single product.

[0020] Furthermore, the image acquisition module is an industrial camera installed at the middle position of the top and bottom of the cabinet; wherein the light source of the lamp faces the industrial camera.

[0021] Furthermore, when the lighting product testing module tests the lighting product, the host computer continuously queries the drawer status from the slave computer. The slave computer is connected to the door magnetic switch via a cable to sense whether the drawer is closed. When the drawer is closed, the lighting product testing state begins, and the drawer status query stops. When the lighting product testing is completed, the drawer status is queried again. When the drawer is opened, the system prepares for the next test.

[0022] Furthermore, the calibration measures are as follows: control the adjustment parameters of unqualified lamps, and then re-acquire images to obtain the brightness value of the lamp surface until the brightness of the lamp surface is qualified, thereby realizing the automated testing of emergency evacuation indicator lights.

[0023] Furthermore, after the test is completed, the host computer displays and broadcasts the test results verbally, and also uploads the test results to the database via the network; at the same time, the operator opens the drawer, takes out the tested lamps, classifies them according to the test results, and places the next lamp to be tested to continue testing.

[0024] Furthermore, the lower-level machine communicates with the upper-level machine via a serial port and receives instructions from the upper-level machine; the lower-level machine connects to the emergency evacuation indicator light via a bus, supplies power to the emergency evacuation indicator light and communicates with it, reads the product number, issues operation commands, and performs operations such as turning on the light, turning off the light, and adjusting parameters.

[0025] Furthermore, the host computer is preferably an industrial PC with at least 4GB of installed memory and a 64-bit operating system. The industrial PC acts as the controller, coordinating and controlling the entire system, including starting and stopping the system, controlling the industrial camera to acquire images, controlling the slave computer, displaying test results, querying test records, and uploading test information.

[0026] Furthermore, parameters a and b are related to the industrial camera model parameters, etc. The specific method to obtain them is to enter the self-calibration mode, use the industrial camera installed on the lighting test module to collect images of two or more standard light sources with different brightness, obtain the gray values, and solve the system of two linear equations to obtain parameters a and b.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] 1. In this invention, when the lighting product testing state is entered, the host computer controls the image acquisition module to acquire images of the emergency evacuation indicator lights illuminated in a dark environment in real time and transmits the acquired images to the image analysis module for image processing; the current frame image is captured, and the current lighting status and type are identified using image matching and recognition technology; the surface brightness value of the lighting fixture is calculated based on the grayscale image; the host computer compares the surface brightness value V of the lighting fixture with the standard range. For unqualified products, the host computer sends an unqualified signal to the slave computer and drives the slave computer to control the unqualified lighting fixture to adjust parameters, and then re-acquires images to obtain the surface brightness value of the lighting fixture until the surface brightness of the lighting fixture is qualified, thereby realizing the automated testing of emergency evacuation indicator lights; improving the efficiency of lighting fixture surface brightness detection and calibration, thereby improving the lighting fixture production efficiency;

[0029] 2. In this invention, within one working cycle of lamp testing, the production tracking module is used to monitor non-conforming signals; and performs production bias analysis on the production equipment based on the occurrence of non-conforming signals. Combining the occurrence frequency C1 of non-conforming signals and the buffer limit value GT, the production bias ZT of the corresponding production equipment is calculated. If ZT ≥ preset bias threshold, it indicates that the production status of the production equipment is poor at this time, and a maintenance signal is generated. After receiving the maintenance signal, the host computer controls the alarm module to issue an alarm to remind the staff to inspect and calibrate the corresponding production equipment to avoid the production of defective products, thereby improving the lamp production efficiency. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the 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.

[0031] Figure 1 This is a system block diagram of the present invention.

[0032] Figure 2 This is a schematic diagram of the testing process of the present invention. Detailed Implementation

[0033] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0034] like Figures 1 to 2 As shown, an automatic testing system for emergency evacuation indicator lights includes a light testing module, an image acquisition module, an image analysis module, a host computer, a slave computer, a database, a production tracking module, and an alarm module.

[0035] The lighting test module is a closed cabinet with a drawer in the middle of the side. The drawer has a slot for accurately placing emergency evacuation indicator lights. The lighting test module provides a stable lighting environment so that the image acquisition module can capture images of the emergency evacuation indicator lights when they are lit in a dark environment.

[0036] The image acquisition module consists of an industrial camera installed at the top and bottom center of the cabinet. The image acquisition module is connected to the host computer via a signal cable and is used to acquire images of the side where the emergency evacuation indicator lights are located in real time. The side where the lights are located faces the industrial camera. The bottom center area of ​​the drawer is hollowed out to facilitate the acquisition of images from both sides of the lights. A magnetic door switch is installed on the edge of the drawer to trigger the start of a single product test.

[0037] The lower-level machine communicates with the upper-level machine via a serial port and receives instructions from the upper-level machine; the lower-level machine connects to the emergency evacuation indicator lights via a bus, supplies power to the emergency evacuation indicator lights and communicates with them, reads the product number, issues operation commands, and performs operations such as turning on the lights, turning off the lights, and adjusting parameters.

[0038] In this embodiment, the host computer is preferably an industrial PC with at least 4GB of installed memory and a 64-bit operating system. The industrial PC acts as the controller, coordinating and controlling the entire system, including starting and stopping the system, controlling the industrial camera to acquire images, controlling the slave computer, displaying test results, querying test records, and uploading test information.

[0039] When the lighting product testing module tests the lighting product, the host computer continuously queries the drawer status from the slave computer. The slave computer is connected to the door magnetic switch via a cable to sense whether the drawer is closed. When the drawer is closed, the lighting product testing state begins and the drawer status query stops. When the lighting product testing is completed, the drawer status is queried again. When the drawer is opened, the next test is prepared.

[0040] Once the lighting product testing phase begins, the host computer controls the image acquisition module to capture images of the emergency evacuation indicator lights illuminated in real time under dark conditions and transmits the captured images to the image analysis module for image processing. The specific processing procedure of the image analysis module is as follows:

[0041] Capture the current frame image and use image matching and recognition technology to identify the current status and type of the lighting fixture;

[0042] The surface brightness value of the lamp is calculated based on the grayscale image. The specific calculation formula is: V = a*x + b; where V represents the surface brightness value of the lamp, x is the grayscale mean value of the local area of ​​the image; the local area of ​​the image is an m*n rectangle, and a and b are constants, which are related to the parameters of the industrial camera model, etc. Images can be acquired using two or more standard light sources with different brightness, grayscale values ​​can be obtained, and a and b can be obtained by solving a system of two linear equations.

[0043] The image analysis module feeds back the calculated luminance value V of the lamp surface to the host computer. The host computer compares the luminance value V with the standard range. If V is outside the standard range, the lamp is considered unqualified. The host computer sends a non-compliance signal to the slave computer. Upon receiving the non-compliance signal, the slave computer performs calibration measures. The calibration measures involve adjusting the parameters of the unqualified lamp, then re-acquiring images to obtain the luminance value of the lamp surface until the luminance of the lamp surface is qualified, thus realizing the automated testing of emergency evacuation indicator lights.

[0044] After the test is completed, the host computer displays and broadcasts the test results, and uploads the results to the database via the network. At the same time, the operator can open the drawer, take out the tested lamps, classify them according to the test results, and place the next lamp to be tested. The entire testing process is fully automated. The operator only needs to pick up and put in materials, which greatly improves the efficiency of lamp surface brightness detection and calibration, thereby improving lamp production efficiency.

[0045] In this embodiment, the surface brightness of emergency evacuation indicator lights can be accurately and efficiently detected and calibrated under any external lighting conditions, which has a wide range of applications. Based on image processing, the surface brightness of emergency evacuation indicator lights is detected and calibrated, reducing manpower input, realizing automated detection, improving the efficiency of light surface brightness detection and calibration, and thus improving the production efficiency of light fixtures.

[0046] During one work cycle of the lighting fixture testing, the production tracking module connects to the lower-level machine to monitor non-conforming signals; and performs production deviation analysis on the production equipment based on the occurrence of non-conforming signals. The specific analysis steps are as follows:

[0047] Within a preset time period, the number of times the non-compliant signal occurs is counted as C1;

[0048] The time interval between the occurrence times of two adjacent signals is defined as the buffer period. The number of production lamps of the corresponding production equipment within each buffer period is counted as the buffer quantity, thus obtaining the buffer quantity information group.

[0049] The standard deviation of the buffer quantity information group is calculated according to the standard deviation formula and marked as α; the buffer quantity information group is traversed, and the difference between the maximum value Fmax and the minimum value Fmin is divided by the minimum value Fmin to obtain the difference ratio Cb, that is, Cb=(Fmax-Fmin) / Fmin; the steady state value CW is calculated using the formula CW=α×b3+Cb×b4, where b3 and b4 are coefficient factors;

[0050] The average value G1 of the buffer quantity information group is obtained according to the average value calculation formula. Then, the formula GT=(G1×a1) / (CW) is used. 2 ×a2+γ) 0.5 The buffer limit value GT is calculated, where a1 and a2 are coefficient factors, and γ is the compensation factor with a value of 0.236598.

[0051] The production bias ZT of the corresponding production equipment is calculated using the formula ZT=(C1×a3) / (GT×a4), where a3 and a4 are coefficient factors. The larger the production bias ZT, the more obvious the trend of the corresponding production equipment producing unqualified products and the lower the production efficiency.

[0052] The production bias ZT is compared with the preset bias threshold. If ZT ≥ the preset bias threshold, it indicates that the production status of the production equipment is not good at this time, and a maintenance signal is generated.

[0053] The production tracking module is used to upload maintenance signals to the host computer. After receiving the maintenance signal, the host computer controls the alarm module to issue an alarm to remind staff to inspect and calibrate the corresponding production equipment, avoid the production of defective products, and thus improve the production efficiency of lamps.

[0054] The above formulas are all numerical calculations after removing dimensions. The formulas are obtained by software simulation based on a large amount of data and are closest to the real situation. The preset parameters and preset thresholds in the formulas are set by those skilled in the art according to the actual situation or obtained by simulation based on a large amount of data.

[0055] Working principle of the invention:

[0056] An automatic testing system for emergency evacuation indicator lights, in operation, first needs to acquire parameters a and b. Specifically, it enters self-calibration mode, uses an industrial camera installed on the lighting test module to acquire images of two or more standard light sources with different brightness levels, obtains grayscale values, and solves a system of two linear equations to obtain coefficients a and b. After preparation, the operator opens the drawer inside the lighting test module, takes out an emergency evacuation indicator light to be tested, places it in the limit slot in the drawer, connects the bus, closes the drawer, and the door magnetic switch installed on the drawer closes. The host computer detects the door magnetic closure signal, and the test can begin. Once the lighting product testing state is entered, the host computer controls the image acquisition module to... The system continuously captures images of emergency evacuation indicator lights illuminated in dark environments and transmits these images to an image analysis module for processing. It then captures the current frame and uses image matching and recognition technology to identify the current status and type of the light fixture. Based on the grayscale image, it calculates the surface brightness value of the light fixture. The host computer compares the surface brightness value V of the light fixture with the standard range. For non-compliant products, the host computer sends a non-compliance signal to the slave computer, which then controls the non-compliant light fixture to adjust its parameters. The system then re-captures images to obtain the surface brightness value of the light fixture until the surface brightness is within acceptable limits, thus achieving automated testing of emergency evacuation indicator lights. This improves the efficiency of surface brightness detection and calibration, thereby increasing the efficiency of light fixture production.

[0057] After testing, the host computer displays and announces the test results verbally, and also uploads the results to the database via the network. Simultaneously, operators can open drawers, remove tested lamps, categorize them according to the test results, and place the next lamp to be tested. Within one work cycle of lamp testing, the production tracking module monitors non-conforming signals and performs production bias analysis on the production equipment based on the occurrence of non-conforming signals. Combining the number of non-conforming signals (C1) and the buffer limit value (GT), the corresponding production bias value (ZT) of the production equipment is calculated. If ZT ≥ the preset bias threshold, it indicates that the production equipment is in poor condition, generating a maintenance signal. Upon receiving the maintenance signal, the host computer controls the alarm module to issue an alarm, reminding staff to inspect and calibrate the corresponding production equipment to avoid defective products and improve lamp production efficiency.

[0058] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0059] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. An automatic testing system for emergency evacuation indicator lights, characterized in that, It includes a lighting testing module, an image acquisition module, a host computer, a slave computer, and a production tracking module; Once the lighting product testing state is entered, the host computer controls the image acquisition module to acquire images of the emergency evacuation indicator lights illuminating in a dark environment in real time and transmits the acquired images to the image analysis module for image processing; the specific processing procedure of the image analysis module is as follows: Capture the current frame image and use image matching and recognition technology to identify the current status and type of the lighting fixture; The surface brightness value of the lamp is calculated based on the grayscale image. The specific calculation formula is: V = a*x + b; where V represents the surface brightness value of the lamp, x is the grayscale mean value of a local area of ​​the image; the local area of ​​the image is an m*n rectangle, and a and b are constants. The image analysis module is used to feed back the calculated surface brightness value V of the lamp to the host computer. The host computer compares the surface brightness value V of the lamp with the standard range. If V is outside the standard range, it means that the lamp is unqualified. The host computer sends an unqualified signal to the slave computer. After receiving the unqualified signal, the slave computer performs calibration measures. During one work cycle of the lighting fixture testing, the production tracking module is connected to the lower-level machine to monitor non-conforming signals; the specific analysis steps of the production tracking module are as follows: Within a preset time period, the number of times the non-compliant signal occurs is counted as C1; The time interval between the occurrence times of two adjacent signals is defined as the buffer period. The number of production lights for the corresponding production equipment during each buffer period is counted as the buffer quantity, and a buffer quantity information group is obtained. The buffer limit value GT is evaluated based on the buffer quantity information group; the specific evaluation process is as follows: The standard deviation of the buffer quantity information group is calculated according to the standard deviation formula and labeled as α. Traverse the buffer quantity information group, divide the difference between the maximum value Fmax and the minimum value Fmin by the minimum value Fmin to obtain the difference ratio Cb, that is, Cb=(Fmax-Fmin) / Fmin; use the formula CW=α×b3+Cb×b4 to calculate the steady state value CW, where b3 and b4 are coefficient factors; The average value G1 of the buffer quantity information group is obtained according to the average value calculation formula, and the formula GT=(G1×a1) / (CW2×a2+γ) is used 0.5 The buffer limit value GT is calculated, wherein a1 and a2 are coefficient factors, and γ is a compensation factor. The production bias ZT of the corresponding production equipment is calculated using the formula ZT=(C1×a3) / (GT×a4), where a3 and a4 are coefficient factors. If the production bias ZT is greater than or equal to the preset bias threshold, it indicates that the production equipment is not in good condition and a maintenance signal is generated to remind staff to inspect and calibrate the equipment.

2. The automatic testing system for emergency evacuation indicator lights according to claim 1, characterized in that, The lighting test module is a closed cabinet to provide a stable lighting environment. A drawer is located in the middle of the side of the cabinet. The drawer has a slot for accurately placing emergency evacuation indicator lights. A magnetic door switch is installed on the edge of the drawer to trigger the start of testing for a single product.

3. An automatic testing system for emergency evacuation indicator lights according to claim 2, characterized in that, The image acquisition module is an industrial camera installed at the middle position of the top and bottom of the cabinet; The light source of the lamp is positioned directly opposite the industrial camera.

4. An automatic testing system for emergency evacuation indicator lights according to claim 2, characterized in that, When the lighting product testing module tests the lighting product, the host computer continuously queries the drawer status from the slave computer. The slave computer is connected to the door magnetic switch via a cable to sense whether the drawer is closed. When the drawer is closed, the lighting product testing state begins, and the drawer status query stops. When the lighting product testing is completed, the drawer status is queried again. When the drawer is opened, the system prepares for the next test.

5. An automatic testing system for emergency evacuation indicator lights according to claim 1, characterized in that, The calibration measures are as follows: control the parameters of unqualified lamps, then re-acquire images to obtain the brightness value of the lamp surface until the brightness of the lamp surface is qualified, thereby realizing the automated testing of emergency evacuation indicator lights.

6. An automatic testing system for emergency evacuation indicator lights according to claim 1, characterized in that, After the test is completed, the host computer displays and broadcasts the test results, and uploads the test results to the database via the network. At the same time, the operator opens the drawer, takes out the tested lamps, classifies them according to the test results, and places the next lamp to be tested to continue the test.

7. An automatic testing system for emergency evacuation indicator lights according to claim 5, characterized in that, The lower-level machine communicates with the upper-level machine via a serial port and receives instructions from the upper-level machine; the lower-level machine is connected to the emergency evacuation indicator light via a bus, supplies power to the emergency evacuation indicator light and communicates with it, reads the product number, issues operation commands, and performs operations such as turning on the light, turning off the light, and adjusting parameters.

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