Accuracy detection method for intelligent elevator recognition device

Abstract

The invention discloses an elevator intelligent identification device accuracy detection method which comprises the following steps: S1, monitoring an alarm signal interface, and respectively receiving an AI alarm signal and an IO alarm signal; s2, respectively storing alarm results in a form form according to a time sequence; s3, after the alarm result is received, automatically entering an analysis processing unit; s4, the system POST the IO alarm record to a picture analysis unit of the black box, and the picture analysis unit returns an analysis result to the system to form an IO alarm false alarm analysis report; and S5, the IO alarm report and the AI alarm report are compared and analyzed to form a report missing analysis report. According to the invention, full-automatic detection of the AI alarm system is realized, a detection result and a report form are automatically generated, and a standardized detection process of the AI alarm system is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator accuracy detection, and in particular to an accuracy detection method for an elevator intelligent identification device. Background Art

[0002] The encoder used in the elevator is generally installed on the main shaft or the electrode shaft of the door opener. The disassembly and assembly steps are cumbersome, and the operation details are very demanding, and the maintenance and replacement are difficult. The encoder is often affected by packaging manufacturing, transportation bumps, irregular operations during the installation process, irregular subsequent maintenance, and external interference with signal transmission. Encoder signal line virtual connection, code disk wear, encoder sleeve and motor shaft are not concentric, etc., will cause the loss of encoder signal acquisition. Once other components in the elevator are abnormal or the control is abnormal, the elevator will lose protection, which may cause the elevator to move unexpectedly, rush to the top or squat at the bottom. In addition, the failure of the encoder will cause a sudden stop during operation. These abnormally high accelerations during elevator operation caused by faults will cause certain harm to passengers.

[0003] Due to the endless explosions and fires caused by battery vehicles and gas cylinders entering the elevator car, immeasurable losses have been caused to people's lives and property. A large number of technology companies have developed corresponding AI alarm equipment for this phenomenon, such as an elevator state detection device and an elevator abnormal state alarm method disclosed in the publication number CN116835403A; the elevator state detection device provided by it includes a flow rate sensor, a data acquisition module, a wireless communication module and an external data processing terminal; wherein the flow rate sensor includes a container, a fixing device, a speed measuring fluid, a flexible substrate layer, a flexible surface layer, a friction layer and an electrode layer, and the external data processing terminal is composed of a data receiving module, a data analysis module, a data recording module and an alarm module; the elevator abnormal state alarm method provided by it determines the operating state of the elevator according to the output voltage of the elevator state detection device, detects the elevator stall event, and when the elevator stall event is detected, uses Bluetooth communication to send it to the outside world and the elevator control template to realize the function of timely alarm, so as to avoid missing the best rescue opportunity due to the special situation of the personnel who cannot alarm autonomously.

[0004] However, the technical capabilities of various products vary. Due to the lack of a complete testing system and unified testing standards, the accuracy of elevator intelligent recognition devices cannot be tested. To this end, we propose a method for testing the accuracy of elevator intelligent recognition devices. Summary of the invention

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

[0006] To achieve the above object, 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 a table in chronological order;

[0009] S3, after the alarm result is received, it automatically enters the analysis and processing unit;

[0010] S4. The system POSTs the IO alarm record to the image analysis unit of the black box, and the image analysis unit feeds the analysis result back to the system to form an IO alarm false alarm analysis report;

[0011] S5. Compare and analyze the IO alarm report and the AI ​​alarm report to form an underreporting analysis report.

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

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

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

[0015] The unit 2 is responsible for analyzing the IO alarm images, and the analysis results are POSTed to the PC.

[0016] Preferably, the detection and comparison data include: battery vehicle detection, gas tank detection, and headcount statistics.

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

[0018] Overspeed: If the speed exceeds the configured threshold, an overspeed alarm is triggered; if the configured overspeed threshold is less than the elevator upward speed, an alarm is triggered when the elevator upward speed exceeds the threshold;

[0019] If the acceleration exceeds the configured threshold, the elevator falling alarm is triggered; if the configured overspeed threshold is less than the elevator descending speed, the elevator descending speed exceeds the threshold, an alarm is triggered.

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

[0021] If the data of the external floor sensor is the highest floor and not level, a roof-reaching alarm will be reported;

[0022] If the data of the external floor sensor is the lowest floor and not level, a bottom fall alarm will be reported;

[0023] Abnormal vibration and abnormal elevator shaking detection will trigger an alarm when the threshold is reached.

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

[0025] Preferably, it also includes lens blocking comparison: an alarm is triggered when the lens is blocked by foreign matter.

[0026] Preferably, it also includes power-off and low-battery comparison: battery power is detected; an alarm is triggered when the battery voltage is lower than 3V.

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

[0028] Open door and running elevator: alarm will be triggered when the elevator is running and the door is open;

[0029] Repeated door opening and closing: When the elevator is stationary, opening and closing the door three times in a row triggers repeated door opening and closing;

[0030] Non-level door opening: The external floor sensor is in non-level state and the door is open;

[0031] Door blocking alarm: The alarm is triggered when the door is closed for a timeout.

[0032] Compared with the prior art, the beneficial effects of the present invention are: realizing fully automatic detection of the AI ​​alarm system, automatically generating detection results and reports, and realizing a standardized detection process of the AI ​​alarm system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0034] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work 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 drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention.

[0036] See also Figure 1In an embodiment of the present 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 a table in chronological order;

[0039] S3, after the alarm result is received, it automatically enters the analysis and processing unit;

[0040] S4. The system POSTs the IO alarm record to the image analysis unit of the black box, and the image analysis unit feeds the analysis result back to the system to form an IO alarm false alarm analysis report;

[0041] S5. Compare and analyze the IO alarm report and the AI ​​alarm report to form an underreporting analysis report.

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

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

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

[0045] The unit 2 is responsible for analyzing the IO alarm images, and the analysis results are POSTed to the PC.

[0046] Preferably, the detection and comparison data include: battery vehicle detection, gas tank detection, and headcount statistics.

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

[0048] Overspeed: If the speed exceeds the configured threshold, an overspeed alarm is triggered; if the configured overspeed threshold is less than the elevator upward speed, an alarm is triggered when the elevator upward speed exceeds the threshold;

[0049] If the acceleration exceeds the configured threshold, the elevator falling alarm is triggered; if the configured overspeed threshold is less than the elevator descending speed, the elevator descending speed exceeds the threshold, an alarm is triggered.

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

[0051] If the data of the external floor sensor is the highest floor and not level, a roof-reaching alarm will be reported;

[0052] If the data of the external floor sensor is the lowest floor and not level, a bottom fall alarm will be reported;

[0053] Abnormal vibration and abnormal elevator shaking detection will trigger an alarm when the threshold is reached.

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

[0055] Preferably, it also includes lens blocking comparison: an alarm is triggered when the lens is blocked by foreign matter.

[0056] Preferably, it also includes power-off and low-battery comparison: battery power is detected; an alarm is triggered when the battery voltage is lower than 3V.

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

[0058] Open door and running elevator: alarm will be triggered when the elevator is running and the door is open;

[0059] Repeated door opening and closing: When the elevator is stationary, opening and closing the door three times in a row triggers repeated door opening and closing;

[0060] Non-level door opening: The external floor sensor is in non-level state and the door is open;

[0061] Door blocking alarm: The alarm is triggered when the door is closed for a timeout.

[0062] The working principle of the present invention is: two alarm signal interfaces listen, receive 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, and the system POSTs the IO alarm records to the image analysis unit of the black box, and the image analysis unit feeds the analysis results back to the system to form an IO alarm false alarm analysis report, and the IO alarm report is compared with the AI ​​alarm report to form a missed alarm analysis report.

[0063] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for detecting the accuracy of an elevator intelligent identification device, characterized in that: The following steps are involved: S1, listen to the alarm signal interface and receive AI alarm and IO alarm signals respectively; S2. Store the alarm results in a table in chronological order; S3, after the alarm result is received, it automatically enters the analysis and processing unit; S4. The system POSTs the IO alarm record to the image analysis unit of the black box, and the image analysis unit feeds the analysis result back to the system to form an IO alarm false alarm analysis report; S5. Compare and analyze the IO alarm report and the AI ​​alarm report to form an underreporting analysis 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 one and unit two; The unit 1 is responsible for video alarm processing, running video analysis and alarm logic, and POSTing the alarm results to the PC; The unit 2 is responsible for analyzing the IO alarm images, and the analysis results are POSTed to the PC.

4. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that: The test and comparison data include: electric vehicle test, gas tank test, 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 comparison: Overspeed: If the speed exceeds the configured threshold, an overspeed alarm is triggered; if the configured overspeed threshold is less than the elevator upward speed, an alarm is triggered when the elevator upward speed exceeds the threshold; If the acceleration exceeds the configured threshold, the elevator falling alarm is triggered; the configured overspeed threshold is less than the elevator descending speed; If the elevator's downward speed exceeds the threshold, an alarm will be triggered.

6. A 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 of the external floor sensor is the highest floor and not level, a roof-reaching alarm will be reported; If the data of the external floor sensor is the lowest floor and not level, a bottom fall alarm will be reported; Abnormal vibration and abnormal elevator shaking detection will trigger an alarm 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: the temperature sensor value exceeds 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 blocked lens comparison: an alarm will be triggered when the lens is blocked by foreign objects.

9. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that: It also includes power-off and low-battery comparison: battery power is detected; if the battery voltage is lower than 3V, an alarm is issued.

10. The method for detecting the accuracy of an elevator intelligent identification device according to claim 1, characterized in that: It also includes the comparison of opening and closing doors and blocking doors: Open door and running elevator: alarm will be triggered when the elevator is running and the door is open; Repeated door opening and closing: When the elevator is stationary, opening and closing the door three times in a row triggers repeated door opening and closing; Non-level door opening: The external floor sensor is in non-level state and the door is open; Door blocking alarm: The alarm is triggered when the door is closed for a timeout.

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