A method for detecting the accuracy of an elevator intelligent identification device

Abstract

This invention discloses a method for detecting the accuracy of an elevator intelligent identification device, comprising the following steps: S1, listening to the alarm signal interface to receive AI alarm and IO alarm signals respectively; S2, storing the alarm results in chronological order in a form; S3, automatically entering the analysis and processing unit after the alarm results are received; S4, the system POSTs the IO alarm records to the black-box image analysis unit, which then returns the analysis results to the system to form an IO alarm false alarm analysis report; S5, comparing and analyzing the IO alarm report and the AI ​​alarm report to form a missed alarm analysis report. This invention achieves fully automatic detection of the AI ​​alarm system, automatically generates detection results and reports, and realizes a standardized detection process for the AI ​​alarm system.

Description

Technical Field

[0001] This invention relates to the field of elevator accuracy detection technology, specifically a method for detecting the accuracy of an elevator intelligent identification device. Background Technology

[0002] Elevator encoders are typically mounted on the main shaft or door operator electrode shaft. Disassembly and assembly are cumbersome and require meticulous attention to detail, making repair and replacement difficult. Encoders are frequently affected by packaging, manufacturing, transportation damage, improper installation, inadequate maintenance, and external interference with signal transmission. Loose encoder signal lines, worn code discs, and misalignment between the encoder bushing and the motor shaft can all cause signal loss. If other components or control systems malfunction, the elevator will lose protection, potentially leading to unexpected movement, overshooting, or bottoming out. Furthermore, encoder failure can cause sudden stops during operation. The abnormally high acceleration caused by these malfunctions can pose a risk of injury to passengers.

[0003] Explosions and fires caused by electric vehicles and gas cylinders entering elevator cars are frequent, causing incalculable losses to people's lives and property. In response, many technology companies have developed corresponding AI alarm devices, such as the elevator status detection device and elevator abnormal status alarm method disclosed in publication number CN116835403A. The elevator status detection device includes a flow velocity sensor, a data acquisition module, a wireless communication module, and an external data processing terminal. The flow velocity sensor includes a container, a fixing device, a velocity-measuring fluid, a flexible substrate layer, a flexible surface layer, a friction layer, and an electrode layer. The external data processing terminal consists of a data receiving module, a data analysis module, a data recording module, and an alarm module. The elevator abnormal status alarm method determines the elevator's operating status based on the output voltage of the elevator status detection device, detects elevator stall events, and, upon detecting a stall event, sends a signal to the outside world and the elevator control module via Bluetooth communication, enabling timely alarm functionality to prevent missed rescue opportunities due to personnel's inability to independently trigger an alarm.

[0004] However, the technical capabilities of various products vary, and due to the lack of a complete testing system and unified testing standards, the accuracy of elevator intelligent identification devices cannot be tested. Therefore, we propose a method for testing the accuracy of elevator intelligent identification devices. Summary of the Invention

[0005] The purpose of this invention is to provide a method for detecting the accuracy of an elevator intelligent identification device, so as to solve the problems in the prior art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a method for detecting the accuracy of an elevator intelligent identification device, comprising the following steps:

[0007] S1. Listen to the alarm signal interface and receive AI alarm and IO alarm signals respectively;

[0008] S2. Store the alarm results in chronological order in the form of a table.

[0009] S3. After the alarm result is received, it will automatically enter the analysis and processing unit;

[0010] S4. The system POSTs the IO alarm record to the black box image analysis unit, which then sends the analysis results back to the system to generate an IO alarm false alarm analysis report.

[0011] A missed alarm analysis report is generated by comparing and analyzing the S5 IO alarm report and the AI ​​alarm report.

[0012] Preferably, the time from the start to the end of the test should be greater than 30 minutes.

[0013] Preferably, the analysis and processing unit includes unit one and unit two;

[0014] Unit 1 is responsible for video alarm processing, running video analysis and alarm logic, and POSTing the alarm results to the PC.

[0015] Unit 2 is responsible for analyzing IO alarm images and POSTing the analysis results to the PC.

[0016] Preferably, the data for comparison includes: electric vehicle testing, gas cylinder testing, and headcount statistics.

[0017] Preferably, it also includes speed anomaly detection comparison:

[0018] If the speed exceeds the configured threshold, an overspeed alarm will be triggered; if the configured overspeed threshold is less than the elevator's upward speed, an alarm will be triggered if the elevator's upward speed exceeds the threshold.

[0019] If the elevator falls, an alarm will be triggered if the acceleration exceeds the configured threshold; if the configured overspeed threshold is less than the elevator's downward speed; or if the elevator's downward speed exceeds the threshold, an alarm will be triggered.

[0020] Preferably, the comparison results include the following:

[0021] If the data from the external floor sensor indicates that the floor is at its highest level and not at a level position, an alarm for overpassing will be reported.

[0022] If the data from the external floor sensor indicates that the floor is at the bottom and not at a level, a fall alarm will be reported.

[0023] Abnormal vibration and elevator swaying are detected, and an alarm is triggered when the threshold is reached.

[0024] Preferably, it also includes temperature anomaly comparison: temperature sensor value exceeds the configured threshold.

[0025] Preferably, it also includes lens obstruction comparison: an alarm is triggered when the lens is obstructed by a foreign object.

[0026] Preferably, it also includes power failure and low battery comparison: battery power is detected; alarm is triggered when the battery voltage is below 3V.

[0027] Preferably, it also includes a comparison of door opening / closing and door blocking:

[0028] Elevator operation with door open: An alarm will sound if the elevator is in operation and the door is opened.

[0029] Repeated door opening and closing: When the elevator is stationary, repeatedly opening and closing the door 3 times in a row will trigger repeated door opening and closing.

[0030] Non-level floor door opening: The external floor sensor indicates a non-level floor state, and the door is open.

[0031] Door blocking alarm: An alarm will be triggered if the door is not closed within the specified time.

[0032] Compared with the prior art, the beneficial effects of the present invention are: to realize fully automatic detection of AI alarm system, automatically generate detection results and reports, and realize standardized detection process of AI alarm system. Attached Figure Description

[0033] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0034] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. 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. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention.

[0036] Please see Figure 1In this embodiment of the invention, a method for detecting the accuracy of an elevator intelligent identification device includes the following steps:

[0037] S1. Listen to the alarm signal interface and receive AI alarm and IO alarm signals respectively;

[0038] S2. Store the alarm results in chronological order in the form of a table.

[0039] S3. After the alarm result is received, it will automatically enter the analysis and processing unit;

[0040] S4. The system POSTs the IO alarm record to the black box image analysis unit, which then sends the analysis results back to the system to generate an IO alarm false alarm analysis report.

[0041] A missed alarm analysis report is generated by comparing and analyzing the S5 IO alarm report and the AI ​​alarm report.

[0042] Preferably, the time from the start to the end of the test should be greater than 30 minutes.

[0043] Preferably, the analysis and processing unit includes unit one and unit two;

[0044] Unit 1 is responsible for video alarm processing, running video analysis and alarm logic, and POSTing the alarm results to the PC.

[0045] Unit 2 is responsible for analyzing IO alarm images and POSTing the analysis results to the PC.

[0046] Preferably, the data for comparison includes: electric vehicle testing, gas cylinder testing, and headcount statistics.

[0047] Preferably, it also includes speed anomaly detection comparison:

[0048] If the speed exceeds the configured threshold, an overspeed alarm will be triggered; if the configured overspeed threshold is less than the elevator's upward speed, an alarm will be triggered if the elevator's upward speed exceeds the threshold.

[0049] If the elevator falls, an alarm will be triggered if the acceleration exceeds the configured threshold; if the configured overspeed threshold is less than the elevator's downward speed; or if the elevator's downward speed exceeds the threshold, an alarm will be triggered.

[0050] Preferably, the comparison results include the following:

[0051] If the data from the external floor sensor indicates that the floor is at its highest level and not at a level position, an alarm for overpassing will be reported.

[0052] If the data from the external floor sensor indicates that the floor is at the bottom and not at a level, a fall alarm will be reported.

[0053] Abnormal vibration and elevator swaying are detected, and an alarm is triggered when the threshold is reached.

[0054] Preferably, it also includes temperature anomaly comparison: temperature sensor value exceeds the configured threshold.

[0055] Preferably, it also includes lens obstruction comparison: an alarm is triggered when the lens is obstructed by a foreign object.

[0056] Preferably, it also includes power failure and low battery comparison: battery power is detected; alarm is triggered when the battery voltage is below 3V.

[0057] Preferably, it also includes a comparison of door opening / closing and door blocking:

[0058] Elevator operation with door open: An alarm will sound if the elevator is in operation and the door is opened.

[0059] Repeated door opening and closing: When the elevator is stationary, repeatedly opening and closing the door 3 times in a row will trigger repeated door opening and closing.

[0060] Non-level floor door opening: The external floor sensor indicates a non-level floor state, and the door is open.

[0061] Door blocking alarm: An alarm will be triggered if the door is not closed within the specified time.

[0062] The working principle of this invention is as follows: Two alarm signal interfaces listen for AI alarm and IO alarm signals respectively, and store the alarm results in a form in chronological order; after the alarm results are received, they automatically enter the analysis and processing unit. The system POSTs the IO alarm record to the black box image analysis unit, which then sends the analysis results back to the system to form an IO alarm false alarm analysis report. The IO alarm report and the AI ​​alarm report are compared and analyzed to form a missed alarm analysis report.

[0063] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for detecting the accuracy of an elevator intelligent identification device, characterized in that, Includes the following steps: S1. Listen to the alarm signal interface and receive AI alarm and IO alarm signals respectively; S2. Store the alarm results in chronological order in the form of a table. S3. After the alarm result is received, it will automatically enter the analysis and processing unit; S4. The system POSTs the IO alarm record to the black box image analysis unit, which then sends the analysis results back to the system to generate an IO alarm false alarm analysis report. A missed alarm analysis report is generated by comparing and analyzing the S5 IO alarm report and the AI ​​alarm report.

2. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, The time from the start to the end of the test should be greater than 30 minutes.

3. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, The analysis and processing unit includes Unit 1 and Unit 2; Unit 1 is responsible for video alarm processing, running video analysis and alarm logic, and POSTing the alarm results to the PC. Unit 2 is responsible for analyzing IO alarm images and POSTing the analysis results to the PC.

4. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, The data for comparison includes: electric bicycle inspection, gas cylinder inspection, and headcount statistics.

5. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, It also includes speed anomaly detection and comparison: If the speed exceeds the configured threshold, an overspeed alarm will be triggered; if the configured overspeed threshold is less than the elevator's upward speed, an alarm will be triggered if the elevator's upward speed exceeds the threshold. If the elevator falls and the acceleration exceeds the configured threshold, a fall alarm will be triggered; the configured overspeed threshold is less than the elevator's downward speed. An alarm will be triggered if the elevator's downward speed exceeds a threshold.

6. The method for detecting the accuracy of an elevator intelligent identification device according to claim 5, characterized in that, The comparison results include the following: If the data from the external floor sensor indicates that the floor is at its highest level and not at a level position, an alarm for overpassing will be reported. If the data from the external floor sensor indicates that the floor is at the bottom and not at a level, a fall alarm will be reported. Abnormal vibration and elevator swaying are detected, and an alarm is triggered when the threshold is reached.

7. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, It also includes temperature anomaly comparison: temperature sensor values ​​exceeding the configured threshold.

8. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, It also includes lens obstruction comparison: an alarm will be triggered when the lens is obstructed by a foreign object.

9. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, It also includes power outage and low battery comparison: battery power is detected; alarm is triggered when the battery voltage is below 3V.

10. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that, This also includes a comparison of door opening / closing and door blocking: Elevator operation with door open: An alarm will sound if the elevator is in operation and the door is opened. Repeated door opening and closing: When the elevator is stationary, repeatedly opening and closing the door 3 times in a row will trigger repeated door opening and closing. Non-level floor door opening: The external floor sensor indicates a non-level floor state, and the door is open. Door blocking alarm: An alarm will be triggered if the door is not closed within the specified time.

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