Elevator Operation Monitoring Methods and Systems

Abstract

This invention discloses an elevator operation monitoring method and system. The ingenious solution monitors the operating parameters and components of the elevator during operation. When an anomaly occurs, an anomaly operation record is generated to record the operating instructions and parameters at the time of the anomaly. When the elevator is idle, the anomaly operation record is used as a reference for elevator self-checking. By reconstructing the operating condition at the time of the anomaly, monitoring is performed again and relevant monitoring data is obtained, thereby achieving the best possible reproduction of the anomaly. This provides a reference for subsequent elevator maintenance or operational intervention. For some sporadic anomalies, if they can be reproduced multiple times under specific parameters, they have a significant impact on the safe operation of the elevator and can provide a reliable reference for whether to suspend elevator use. For anomalies or jams with less impact on safety, they can provide better maintenance references for maintenance personnel, enabling targeted and focused maintenance.

Description

Technical Field

[0001] This invention relates to the field of elevator monitoring technology, and in particular to elevator operation monitoring methods and systems. Background Technology

[0002] Elevators are commonly used for going up and down stairs, and their safety directly affects the personal safety of users. Therefore, elevators are classified as special equipment. To improve the reliability and safety of elevators, regular routine maintenance is required after they are put into use to prevent the escalation of abnormal situations. During elevator use, occasional abnormal situations may occur due to foreign objects or specific triggering conditions. Due to the irregular nature of these occasional abnormal situations, they are easily overlooked or neglected during routine maintenance. Examples include abnormal noises and vibrations. Since the elevator car may be carrying passengers or empty when an abnormality occurs, the chances of discovering and paying attention to these occasional abnormalities are relatively small. As elevators are a frequently used tool for going up and down stairs, their safety and reliability require special attention. If an effective solution could be provided to automatically perform self-checks when an elevator malfunctions, without affecting normal passenger use and allowing for early intervention in abnormal situations, it would greatly improve the safety of elevator use and the targeted nature of routine maintenance. Summary of the Invention

[0003] In view of this, the purpose of this invention is to propose an elevator operation monitoring method and system that is reliable in implementation, flexible in application, user-friendly, and provides good reference results.

[0004] To achieve the above-mentioned technical objectives, the technical solution adopted by this invention is as follows:

[0005] An elevator operation monitoring method for monitoring the operation of a passenger elevator, comprising:

[0006] S01. Obtain the elevator's operating status at a preset frequency, monitor its operating parameters and components, and generate operating parameter monitoring data and component monitoring data. The operating parameter monitoring data and component monitoring data are both recorded with their corresponding generation time points.

[0007] S02. Obtain component monitoring data and extract monitoring items from it, then compare it with preset reference data and output the comparison result. When the comparison result points to an abnormal operation, obtain the time point when the abnormality of the monitoring item occurs, and obtain the corresponding work instruction and the corresponding work parameter from the work parameter monitoring data according to the time point to generate an abnormal operation record.

[0008] S03. Based on the monitoring data of working parameters, determine whether the elevator is in an idle or service state. When the elevator is in an idle state, control the elevator to run according to the working instructions and working parameters corresponding to the abnormal operation record based on the abnormal operation record. At the same time, record the working parameters during the operation process in real time and monitor the working components to generate self-test working parameter monitoring data and self-test component monitoring data.

[0009] S04. Obtain monitoring data of self-inspection working parameters and / or monitoring data of self-inspection components, judge them according to preset conditions, and generate abnormal operation information and / or intervene in the operation of the elevator when they do not meet the preset requirements.

[0010] As one possible implementation, further, in this solution S01, the monitoring data of the working parameters includes one or more of the following: the motor speed, the working current, the working temperature of the machine room where the motor is located, the load of the elevator car, the lifting speed, the acceleration, and the opening and closing status of the car door.

[0011] As one possible implementation, the component monitoring data described in this solution further includes one or more of the following: elevator car position data, car vibration data, car interior temperature data, guide rail vibration data, car interior audio monitoring data, elevator shaft audio monitoring data, and motor audio monitoring data.

[0012] As a preferred implementation option, this solution also includes:

[0013] A01. The system collects images of the preset space inside the elevator car at a preset collection frequency to generate image monitoring data. The image monitoring data records the corresponding time point of generation, and the area of ​​image collection covers the elevator car door and car floor.

[0014] A02. Acquire image monitoring data, extract image frames from it according to preset conditions, and compare the image frames with preset reference frames to obtain image comparison results.

[0015] A03. Based on the image comparison results, output information on personnel lingering, items lingering, unmanned status, or abnormal personnel status according to preset conditions.

[0016] As a preferred implementation option, the method for determining the elevator's idle status based on monitoring data of working parameters in this scheme S03 preferably includes one of the following:

[0017] (1) Obtain working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed, and the duration of the corresponding working parameter reaches the preset threshold, the elevator is determined to be in an idle state.

[0018] (2) Obtain working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed and the current time is the preset idle time, the elevator is determined to be in an idle state.

[0019] (3) Obtain working parameter monitoring data and image monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed, and the image monitoring data points to the interior of the car as unoccupied, the elevator is determined to be in an idle state.

[0020] As a preferred implementation option, this solution A02 preferably includes:

[0021] A021. Acquire image monitoring data and working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, and the car door is closed, extract image frames from the image monitoring data at preset time intervals or through a video key frame extraction algorithm to obtain image frames.

[0022] S022. The extracted image frames are compared with reference frames where the car is empty using an image comparison algorithm to obtain image comparison results pointing to image differences.

[0023] As a preferred implementation option, solution A03 preferably includes:

[0024] A031. Obtain image comparison results.

[0025] When the difference indicated by the image comparison results is less than a preset range, output "no one" status information.

[0026] When the difference indicated by the image comparison results is greater than a preset range, the contour of the difference region is located and extracted, and then imported into a trained detection neural network for recognition, so as to output the detection result pointing to a person or object.

[0027] A032. Obtain the test results.

[0028] When the detection result indicates that there are only items in the car, output the item retention information;

[0029] When the detection result indicates that there are people and items inside the car, the posture of the person is judged. If the judgment result is a fall, abnormal information of the person is output; otherwise, information of the person being stranded is output.

[0030] As a preferred implementation option, S03 of this solution further includes: when the elevator is idle, performing a self-check of the elevator's five-way communication status according to a preset self-check time, which includes:

[0031] B01. The duty room communication host sequentially calls the elevator car intercom, machine room intercom, car top intercom, and pit intercom according to the preset self-test time sequence. When the machine room intercom, car top intercom, pit intercom, and elevator car intercom receive the communication call signal from the duty room communication host, they maintain the connection for a first preset time and then automatically connect to the communication. After establishing the communication preset time, the communication ends to complete the signal connection feedback. When the communication call from the duty room communication host exceeds the second preset time and is not connected, it generates and outputs the communication abnormality information corresponding to the machine room intercom, car top intercom, pit intercom, and elevator car intercom.

[0032] B02, the machine room intercom, car top intercom, pit intercom, and elevator car intercom, in sequence according to a preset self-test time, make communication calls to the duty room communication host. After the call is accepted, the power amplifier presets audio data. When the duty room communication host receives the communication call signal, it immediately and automatically connects to the communication, acquires the communication information, and performs audio recognition.

[0033] When the data is identified as preset audio data, communication ends after a preset duration to complete signal connection feedback; otherwise, communication is maintained.

[0034] When the communication host in the duty room does not receive communication calls from the machine room intercom, car top intercom, pit intercom, or elevator car intercom at the preset self-test time node, it generates and outputs communication abnormal information corresponding to the machine room intercom, car top intercom, pit intercom, or elevator car intercom.

[0035] B03. When the communication information is identified as preset audio data, the communication information obtained by the duty room communication host is compared with the audio waveform of the preset audio data to determine whether the communication information is distorted. If distortion exists, the call quality distortion information is output.

[0036] As a preferred implementation option, preferably, in this solution S02, the work instructions include the work instructions for the elevator to change from the initial floor's stationary state to the ascending and descending state, and then decelerate to the target floor and stop, and the work instructions for the elevator car door to change from closed to open and then close. The work instructions for the elevator car to change from stationary to ascending and descending state and then stop, and the work instructions for the elevator car door to change from closed to open and then close, are all set as periodic instructions, which are associated with the time period information of the corresponding execution target's actions.

[0037] In S03, the elevator control uses the work instructions corresponding to the abnormal operation records as periodic instructions;

[0038] S03 includes:

[0039] S031. Determine whether the elevator is in an idle or service state based on the monitoring data of working parameters and / or video monitoring data.

[0040] S032. Obtain elevator status. When the elevator is idle, obtain the time point or time interval corresponding to the abnormal operation record based on the abnormal operation record, and then match it with the periodic command of the elevator operation to obtain the periodic command that covers the time of the abnormal operation record.

[0041] S033. The elevator is operated by controlling the cycle instructions and working parameters corresponding to the abnormal operation record. The working parameters include at least one of the following: the motor speed, the elevator car's lifting speed, acceleration, and the opening and closing status of the car door corresponding to the abnormal operation record.

[0042] S034. Record the working parameters of the elevator during operation in real time and monitor the working components to generate self-test working parameter monitoring data and self-test component monitoring data. The self-test working parameter monitoring data includes one or more of the following: motor speed, working current, working temperature of the machine room where the motor is located, load of the elevator car, lifting speed, acceleration, and opening and closing status of the car door. The self-test component monitoring data includes one or more of the following: elevator car position data, car vibration data, car internal temperature data, guide rail vibration data, car internal audio monitoring data, elevator shaft audio monitoring data, and motor audio monitoring data.

[0043] As a preferred implementation option, the preferred method for intervening in the operation of the elevator in scheme S04 includes one of the following:

[0044] (1) Adjust the elevator car's lifting speed threshold;

[0045] (2) Adjust the acceleration threshold of the elevator car;

[0046] (3) Adjust the opening and closing speed of the elevator car doors;

[0047] (4) The elevator is out of service.

[0048] Based on the above, the present invention also provides an elevator operation monitoring system, which includes:

[0049] The operation monitoring module includes a work monitoring unit and a component monitoring unit. The work monitoring unit is used to acquire the working status of the elevator at a preset frequency, monitor its working parameters, and generate work parameter monitoring data. The component monitoring unit is used to monitor the working components of the elevator and generate component monitoring data. Both the work parameter monitoring data and the component monitoring data record the corresponding time point of their generation.

[0050] The image acquisition module is used to acquire images of a preset space inside the elevator car at a preset acquisition frequency and generate image monitoring data. The image monitoring data records the corresponding time point of its generation, and the area of ​​the image acquisition covers the elevator car door and car floor.

[0051] The data judgment module is used to acquire component monitoring data and extract monitoring items from it, then compare it with preset reference data and output the comparison result. When the comparison result points to an abnormal operation, the module obtains the time point when the abnormality of the monitoring item occurs, and obtains the corresponding work instruction and the corresponding work parameter from the work parameter monitoring data based on the time point, and generates an abnormal operation record.

[0052] The status judgment module is used to determine whether the elevator is in an idle or service state based on the monitoring data of working parameters and / or video monitoring data.

[0053] The self-test module is used to determine whether the elevator is in an idle or service state based on the monitoring data of the working parameters. When the elevator is in an idle state, it controls the elevator to run according to the working instructions and working parameters corresponding to the abnormal operation record based on the abnormal operation record. At the same time, it records the working parameters during the operation and monitors the working components in real time, generating self-test working parameter monitoring data and self-test component monitoring data.

[0054] The early warning module is used to acquire monitoring data of self-test working parameters and / or monitoring data of self-test components, judge them according to preset conditions, and generate abnormal operation information and / or intervene in the operation of the elevator when they do not meet the preset requirements.

[0055] As a preferred implementation option, this solution also includes:

[0056] The image judgment unit is used to acquire image monitoring data, extract image frames from it according to preset conditions, and compare the image frames with preset reference frames to obtain image comparison results; it is also used to output information on personnel lingering, items lingering, no one in the area, or abnormal personnel status according to preset conditions based on the image comparison results.

[0057] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art: The ingenious solution of the present invention monitors the working parameters and components of the elevator during operation, and simultaneously judges whether the component monitoring data is abnormal. When an abnormality occurs, an abnormal operation record is generated to record the working instructions and parameters of the elevator at the time of the abnormality. When the elevator is idle, the abnormal operation record is used as a reference for the elevator's self-check. By using similar or identical working parameters and instructions, the elevator can reconstruct its working condition at the time of the abnormality, and based on this, it can perform re-monitoring and obtain relevant monitoring data (self-check working parameter monitoring data and self-check component data). This system monitors data to reproduce abnormal situations as accurately as possible, providing a reference for subsequent elevator maintenance or operational intervention. Especially for sporadic anomalies, if they can be reproduced multiple times under specific parameters, they have a significant impact on the safe operation of the elevator. This provides back-end monitoring and maintenance personnel with a reliable basis for deciding whether to suspend elevator use. For anomalies or jams with minor safety impacts, it provides better maintenance references for targeted maintenance. In addition, this solution performs a self-check of the five-way communication system when the elevator is idle, ensuring the reliability of the elevator communication equipment. Attached Figure Description

[0058] 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.

[0059] Figure 1 This is a simplified implementation flow diagram of the present invention.

[0060] Figure 2 This is a simplified schematic diagram illustrating the comparison of image frames of image monitoring data with reference frames in the present invention.

[0061] Figure 3 This is a schematic diagram of the device connections for five-way communication in the present invention.

[0062] Figure 4 This is one of the simplified unit module connection diagrams of the system of the present invention;

[0063] Figure 5 This is the second simplified unit module connection diagram of the system of the present invention. Detailed Implementation

[0064] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be particularly noted that the following embodiments are for illustrative purposes only and do not limit the scope of the invention. Similarly, the following embodiments are only some, not all, embodiments of the present invention, and all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0065] like Figure 1 As shown in the figure, this embodiment provides an elevator operation monitoring method for monitoring the operation of a passenger elevator, which includes:

[0066] S01. Obtain the elevator's operating status at a preset frequency, monitor its operating parameters and components, and generate operating parameter monitoring data and component monitoring data. The operating parameter monitoring data and component monitoring data are both recorded with their corresponding generation time points.

[0067] S02. Obtain component monitoring data and extract monitoring items from it, then compare it with preset reference data and output the comparison result. When the comparison result points to an abnormal operation, obtain the time point when the abnormality of the monitoring item occurs, and obtain the corresponding work instruction and the corresponding work parameter from the work parameter monitoring data according to the time point to generate an abnormal operation record.

[0068] S03. Based on the monitoring data of working parameters, determine whether the elevator is in an idle or service state. When the elevator is in an idle state, control the elevator to run according to the working instructions and working parameters corresponding to the abnormal operation record based on the abnormal operation record. At the same time, record the working parameters during the operation process in real time and monitor the working components to generate self-test working parameter monitoring data and self-test component monitoring data.

[0069] S04. Obtain monitoring data of self-inspection working parameters and / or monitoring data of self-inspection components, judge them according to preset conditions, and generate abnormal operation information and / or intervene in the operation of the elevator when they do not meet the preset requirements.

[0070] Through the above scheme, this embodiment utilizes abnormal operation records as a reference for elevator operation self-inspection. By reconstructing the elevator's operating condition when the abnormality occurred using similar or identical operating parameters and instructions, relevant monitoring data (self-inspection operating parameter monitoring data and self-inspection component monitoring data) is obtained again. This achieves the goal of reproducing the abnormal situation as much as possible, providing a reference for subsequent elevator maintenance or operation intervention. Especially for some occasional abnormalities, if they can be reproduced multiple times under specific parameters, they will have a significant impact on the safe operation of the elevator. This can provide back-end supervisors with a reliable reference for whether to suspend the use of the elevator. If it is only some abnormality or jamming with a minor impact on safety, it can provide maintenance personnel with a better maintenance reference and achieve targeted key maintenance.

[0071] Regarding the monitoring of operating parameters and components, as a possible implementation method, in this solution S01, the monitoring data of operating parameters includes one or more of the following: motor speed, operating current, operating temperature of the machine room where the motor is located, load of the elevator car, lifting speed, acceleration, and opening and closing status of the car door; the monitoring data of components in this solution includes one or more of the following: elevator car position data, car vibration data, car internal temperature data, guide rail vibration data, car internal audio monitoring data, elevator shaft audio monitoring data, and motor audio monitoring data.

[0072] As an example, when the elevator car starts at floor A and travels to floor B at speed V, if the elevator car makes abnormal noises or vibrates abnormally, then when the elevator is idle, a self-check can be performed to further determine whether the abnormality is triggered by specific conditions. Similarly, when there is guide rail vibration, motor abnormality, or abnormal noise from the car door, the abnormality can also be investigated by restoring the working state.

[0073] To better assess the condition of the elevator car and determine whether there are any people or items remaining inside, as a preferred implementation option, this solution also includes:

[0074] A01. The system collects images of the preset space inside the elevator car at a preset collection frequency to generate image monitoring data. The image monitoring data records the corresponding time point of generation, and the area of ​​image collection covers the elevator car door and car floor.

[0075] A02. Acquire image monitoring data, extract image frames from it according to preset conditions, and compare the image frames with preset reference frames to obtain image comparison results.

[0076] A03. Based on the image comparison results, output information on personnel lingering, items lingering, unmanned status, or abnormal personnel status according to preset conditions.

[0077] In this scheme S03, the method for determining the elevator's idle status based on the monitoring data of working parameters includes one of the following:

[0078] (1) Obtain working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed, and the duration of the corresponding working parameter reaches the preset threshold, the elevator is determined to be in an idle state.

[0079] (2) Obtain working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed and the current time is the preset idle time, the elevator is determined to be in an idle state.

[0080] (3) Obtain working parameter monitoring data and image monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed, and the image monitoring data points to the interior of the car as unoccupied, the elevator is determined to be in an idle state.

[0081] When combining video monitoring data to determine whether there are any objects or people left inside the elevator car, as a preferred implementation option, this solution A02 includes:

[0082] A021. Acquire image monitoring data and working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, and the car door is closed, extract image frames from the image monitoring data at preset time intervals or through a video key frame extraction algorithm (existing algorithm) to obtain image frames.

[0083] S022. The extracted image frames are compared with a reference frame where the car is empty using an image comparison algorithm to obtain image comparison results indicating image differences (reference). Figure 2 ).

[0084] In addition, as a preferred implementation option, solution A03 preferably includes:

[0085] A031. Obtain image comparison results.

[0086] When the difference indicated by the image comparison results is less than a preset range, output "no one" status information.

[0087] When the difference indicated by the image comparison results is greater than a preset range, the contour of the difference region is located and extracted, and then imported into a trained detection neural network for recognition, so as to output the detection result pointing to a person or object. Among them, image comparison can determine whether there are other objects covering the image by comparing the difference between each pixel, or it can locate the difference by comparing the neural network. In terms of detection, the training and application of detection neural networks are quite common. This solution mainly applies it to the determination of whether there are any lingering objects inside the elevator, so it will not be elaborated on here.

[0088] A032. Obtain the test results.

[0089] When the detection result indicates that there are only items in the car, output the item retention information;

[0090] When the detection result indicates that there are people and items inside the car, the posture of the person is judged. If the judgment result is a fall, abnormal information of the person is output; otherwise, information of the person being stranded is output.

[0091] Because elevators may cause signal jamming or interference to wireless communication devices such as mobile phones during use, the reliability of the built-in intercom in elevators, as an important emergency call device for passengers, is extremely important. Figure 3 As shown, as a preferred implementation option, preferably, this solution S03 further includes: when the elevator is idle, performing a five-way communication status self-check on the elevator according to a preset self-check time, which includes:

[0092] B01. The duty room communication host sequentially calls the elevator car intercom, machine room intercom, car top intercom, and pit intercom according to the preset self-test time sequence. When the machine room intercom, car top intercom, pit intercom, and elevator car intercom receive the communication call signal from the duty room communication host, they maintain the connection for a first preset time and then automatically connect to the communication. After establishing the communication preset time, the communication ends to complete the signal connection feedback. When the communication call from the duty room communication host exceeds the second preset time and is not connected, it generates and outputs the communication abnormality information corresponding to the machine room intercom, car top intercom, pit intercom, and elevator car intercom.

[0093] B02, the machine room intercom, car top intercom, pit intercom, and elevator car intercom, in sequence according to a preset self-test time, make communication calls to the duty room communication host. After the call is accepted, the power amplifier presets audio data. When the duty room communication host receives the communication call signal, it immediately and automatically connects to the communication, acquires the communication information, and performs audio recognition.

[0094] When the data is identified as preset audio data, communication ends after a preset duration to complete signal connection feedback; otherwise, communication is maintained.

[0095] When the communication host in the duty room does not receive communication calls from the machine room intercom, car top intercom, pit intercom, or elevator car intercom at the preset self-test time node, it generates and outputs communication abnormal information corresponding to the machine room intercom, car top intercom, pit intercom, or elevator car intercom.

[0096] B03. When the communication information is identified as preset audio data, the communication information obtained by the duty room communication host is compared with the audio waveform of the preset audio data to determine whether the communication information is distorted. If distortion exists, the call quality distortion information is output.

[0097] B01 and B02 can effectively troubleshoot anomalies in the communication connections between the machine room intercom, car top intercom, pit intercom, elevator car intercom, and the duty room communication host, while B03 can verify the audio transmission quality of the communication, enabling timely detection of any anomalies in the intercom.

[0098] In terms of reproducing abnormalities when the elevator is idle, as a preferred implementation option, in this solution S02, the working instructions include the working instructions for the elevator to change from the initial floor's stationary state to the ascending and descending state, and then decelerate to the target floor and stop, and the working instructions for the elevator car door to change from closed to open and then close. The working instructions for the elevator car to change from stationary to ascending and descending state and then stop, and the elevator car door to change from closed to open and then close are all set as periodic instructions, which are associated with the time period information of the corresponding execution target's actions.

[0099] In S03, the elevator control uses the work instructions corresponding to the abnormal operation records as periodic instructions;

[0100] S03 includes:

[0101] S031. Determine whether the elevator is in an idle or service state based on the monitoring data of working parameters and / or video monitoring data.

[0102] S032. Obtain elevator status. When the elevator is idle, obtain the time point or time interval corresponding to the abnormal operation record based on the abnormal operation record, and then match it with the periodic command of the elevator operation to obtain the periodic command that covers the time of the abnormal operation record.

[0103] S033. The elevator is operated by controlling the cycle instructions and working parameters corresponding to the abnormal operation record. The working parameters include at least one of the following: the motor speed, the elevator car's lifting speed, acceleration, and the opening and closing status of the car door corresponding to the abnormal operation record.

[0104] S034. Record the working parameters of the elevator during operation in real time and monitor the working components to generate self-test working parameter monitoring data and self-test component monitoring data. The self-test working parameter monitoring data includes one or more of the following: motor speed, working current, working temperature of the machine room where the motor is located, load of the elevator car, lifting speed, acceleration, and opening and closing status of the car door. The self-test component monitoring data includes one or more of the following: elevator car position data, car vibration data, car internal temperature data, guide rail vibration data, car internal audio monitoring data, elevator shaft audio monitoring data, and motor audio monitoring data.

[0105] Regarding elevator operation intervention, as a preferred implementation option, the preferred method in this solution S04 for intervening in elevator operation includes one of the following:

[0106] (1) Adjust the elevator car's lifting speed threshold;

[0107] (2) Adjust the acceleration threshold of the elevator car;

[0108] (3) Adjust the opening and closing speed of the elevator car doors;

[0109] (4) The elevator is out of service.

[0110] Combination Figure 4 As shown, based on the above, this embodiment also provides an elevator operation monitoring system, which includes:

[0111] The operation monitoring module includes a work monitoring unit and a component monitoring unit. The work monitoring unit is used to acquire the working status of the elevator at a preset frequency, monitor its working parameters, and generate work parameter monitoring data. The component monitoring unit is used to monitor the working components of the elevator and generate component monitoring data. Both the work parameter monitoring data and the component monitoring data record the corresponding time point of their generation.

[0112] The image acquisition module is used to acquire images of a preset space inside the elevator car at a preset acquisition frequency and generate image monitoring data. The image monitoring data records the corresponding time point of its generation, and the area of ​​the image acquisition covers the elevator car door and car floor.

[0113] The data judgment module is used to acquire component monitoring data and extract monitoring items from it, then compare it with preset reference data and output the comparison result. When the comparison result points to an abnormal operation, the module obtains the time point when the abnormality of the monitoring item occurs, and obtains the corresponding work instruction and the corresponding work parameter from the work parameter monitoring data based on the time point, and generates an abnormal operation record.

[0114] The status judgment module is used to determine whether the elevator is in an idle or service state based on the monitoring data of working parameters and / or video monitoring data.

[0115] The self-test module is used to determine whether the elevator is in an idle or service state based on the monitoring data of the working parameters. When the elevator is in an idle state, it controls the elevator to run according to the working instructions and working parameters corresponding to the abnormal operation record based on the abnormal operation record. At the same time, it records the working parameters during the operation and monitors the working components in real time, generating self-test working parameter monitoring data and self-test component monitoring data.

[0116] The early warning module is used to acquire monitoring data of self-test working parameters and / or monitoring data of self-test components, judge them according to preset conditions, and generate abnormal operation information and / or intervene in the operation of the elevator when they do not meet the preset requirements.

[0117] Combination Figure 5 As shown, as a preferred implementation option, this solution also includes:

[0118] The image judgment unit is used to acquire image monitoring data, extract image frames from it according to preset conditions, and compare the image frames with preset reference frames to obtain image comparison results; it is also used to output information on personnel lingering, items lingering, no one in the area, or abnormal personnel status according to preset conditions based on the image comparison results.

[0119] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0120] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0121] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. An elevator operation monitoring method for monitoring the operation of a passenger elevator, characterized in that, It includes: S01. Obtain the elevator's operating status at a preset frequency, monitor its operating parameters and components, and generate operating parameter monitoring data and component monitoring data. The operating parameter monitoring data and component monitoring data are both recorded with their corresponding generation time points. S02. Obtain component monitoring data and extract monitoring items from it, then compare it with preset reference data and output the comparison result. When the comparison result points to an abnormal operation, obtain the time point when the abnormality of the monitoring item occurs, and obtain the corresponding work instruction and the corresponding work parameter from the work parameter monitoring data according to the time point to generate an abnormal operation record. S03. Based on the monitoring data of working parameters, determine whether the elevator is in an idle or service state. When the elevator is in an idle state, control the elevator to run according to the working instructions and working parameters corresponding to the abnormal operation record based on the abnormal operation record. At the same time, record the working parameters during the operation process in real time and monitor the working components to generate self-test working parameter monitoring data and self-test component monitoring data. S04. Obtain monitoring data of self-inspection working parameters and / or monitoring data of self-inspection components, judge them according to preset conditions, and generate abnormal operation information and / or intervene in the operation of the elevator when they do not meet the preset requirements.

2. The elevator operation monitoring method as described in claim 1, characterized in that, In S01, the monitoring data of the working parameters includes one or more of the following: the motor speed, the working current, the working temperature of the machine room where the motor is located, the load of the elevator car, the lifting speed, the acceleration, and the opening and closing status of the car door. The component monitoring data includes one or more of the following: elevator car position data, car vibration data, car interior temperature data, guide rail vibration data, car interior audio monitoring data, elevator shaft audio monitoring data, and motor audio monitoring data.

3. The elevator operation monitoring method as described in claim 2, characterized in that, It also includes: A01. The system collects images of the preset space inside the elevator car at a preset collection frequency to generate image monitoring data. The image monitoring data records the corresponding time point of generation, and the area of ​​image collection covers the elevator car door and car floor. A02. Acquire image monitoring data, extract image frames from it according to preset conditions, and compare the image frames with preset reference frames to obtain image comparison results. A03. Based on the image comparison results, output information on personnel lingering, items lingering, unmanned status, or abnormal personnel status according to preset conditions.

4. The elevator operation monitoring method as described in claim 3, characterized in that, In S03, the method for determining the elevator's idle status based on monitoring data of operating parameters includes one of the following: (1) Obtain working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed, and the duration of the corresponding working parameter reaches the preset threshold, the elevator is determined to be in an idle state. (2) Obtain working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed and the current time is the preset idle time, the elevator is determined to be in an idle state. (3) Obtain working parameter monitoring data and image monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, the car door is closed, and the image monitoring data points to the interior of the car as unoccupied, the elevator is determined to be in an idle state.

5. The elevator operation monitoring method as described in claim 3, characterized in that, A02 includes: A021. Acquire image monitoring data and working parameter monitoring data. When the motor speed is zero, the elevator car load is less than the preset value, the elevator car lifting speed is zero, and the car door is closed, extract image frames from the image monitoring data at preset time intervals or through a video key frame extraction algorithm to obtain image frames. S022. The extracted image frames are compared with reference frames where the car is empty using an image comparison algorithm to obtain image comparison results pointing to the differences in the images. A03 includes: A031. Obtain image comparison results. When the difference indicated by the image comparison results is less than a preset range, output "no one" status information. When the difference indicated by the image comparison results is greater than a preset range, the contour of the difference region is located and extracted, and then imported into a trained detection neural network for recognition, so as to output the detection result pointing to a person or object. A032. Obtain the test results. When the detection result indicates that there are only items in the car, output the item retention information; When the detection result indicates that there are people and items inside the car, the posture of the person is judged. If the judgment result is a fall, abnormal information of the person is output; otherwise, information of the person being stranded is output.

6. The elevator operation monitoring method as described in claim 3, characterized in that, S03 also includes: when the elevator is idle, performing a self-check of the elevator's five-way communication status according to a preset self-check time, which includes: B01. The duty room communication host sequentially calls the elevator car intercom, machine room intercom, car top intercom, and pit intercom according to the preset self-test time sequence. When the machine room intercom, car top intercom, pit intercom, and elevator car intercom receive the communication call signal from the duty room communication host, they maintain the connection for a first preset time and then automatically connect to the communication. After establishing the communication preset time, the communication ends to complete the signal connection feedback. When the communication call from the duty room communication host exceeds the second preset time and is not connected, it generates and outputs the communication abnormality information corresponding to the machine room intercom, car top intercom, pit intercom, and elevator car intercom. B02, the machine room intercom, car top intercom, pit intercom, and elevator car intercom, in sequence according to a preset self-test time, make communication calls to the duty room communication host. After the call is accepted, the power amplifier presets audio data. When the duty room communication host receives the communication call signal, it immediately and automatically connects to the communication, acquires the communication information, and performs audio recognition. When the data is identified as preset audio data, communication ends after a preset duration to complete signal connection feedback; otherwise, communication is maintained. When the communication host in the duty room does not receive communication calls from the machine room intercom, car top intercom, pit intercom, or elevator car intercom at the preset self-test time node, it generates and outputs communication abnormal information corresponding to the machine room intercom, car top intercom, pit intercom, or elevator car intercom. B03. When the communication information is identified as preset audio data, the communication information obtained by the duty room communication host is compared with the audio waveform of the preset audio data to determine whether the communication information is distorted. If distortion exists, the call quality distortion information is output.

7. The elevator operation monitoring method as described in claim 4, characterized in that, In S02, the work instructions include the work instructions for the elevator to change from the initial floor's stationary state to the ascending and descending state, and then decelerate to the target floor and stop, and the work instructions for the elevator car door to change from closed to open and then close. The work instructions for the elevator car to change from stationary to ascending and descending state and then stop, and the work instructions for the elevator car door to change from closed to open and then close are all set as periodic instructions, which are associated with the time period information of the corresponding execution target's action. In S03, the elevator control uses the work instructions corresponding to the abnormal operation records as periodic instructions; S03 includes: S031. Determine whether the elevator is in an idle or service state based on the monitoring data of working parameters and / or video monitoring data. S032. Obtain elevator status. When the elevator is idle, obtain the time point or time interval corresponding to the abnormal operation record based on the abnormal operation record, and then match it with the periodic command of the elevator operation to obtain the periodic command that covers the time of the abnormal operation record. S033. The elevator is operated by controlling the cycle instructions and working parameters corresponding to the abnormal operation record. The working parameters include at least one of the following: the motor speed, the elevator car's lifting speed, acceleration, and the opening and closing status of the car door corresponding to the abnormal operation record. S034. Record the working parameters of the elevator during operation in real time and monitor the working components to generate self-test working parameter monitoring data and self-test component monitoring data. The self-test working parameter monitoring data includes one or more of the following: motor speed, working current, working temperature of the machine room where the motor is located, load of the elevator car, lifting speed, acceleration, and opening and closing status of the car door. The self-test component monitoring data includes one or more of the following: elevator car position data, car vibration data, car internal temperature data, guide rail vibration data, car internal audio monitoring data, elevator shaft audio monitoring data, and motor audio monitoring data.

8. The elevator operation monitoring method as described in claim 1, characterized in that, In S04, one of the following methods can be used to intervene in the operation of the elevator: (1) Adjust the elevator car's lifting speed threshold; (2) Adjust the acceleration threshold of the elevator car; (3) Adjust the opening and closing speed of the elevator car door; (4) The elevator is out of service.

9. An elevator operation monitoring system, characterized in that, It includes: The operation monitoring module includes a work monitoring unit and a component monitoring unit. The work monitoring unit is used to acquire the working status of the elevator at a preset frequency, monitor its working parameters, and generate work parameter monitoring data. The component monitoring unit is used to monitor the working components of the elevator and generate component monitoring data. Both the work parameter monitoring data and the component monitoring data record the corresponding time point of their generation. The image acquisition module is used to acquire images of a preset space inside the elevator car at a preset acquisition frequency and generate image monitoring data. The image monitoring data records the corresponding time point of its generation, and the area of ​​the image acquisition covers the elevator car door and car floor. The data judgment module is used to acquire component monitoring data and extract monitoring items from it, then compare it with preset reference data and output the comparison result. When the comparison result points to an abnormal operation, the module obtains the time point when the abnormality of the monitoring item occurs, and obtains the corresponding work instruction and the corresponding work parameter from the work parameter monitoring data based on the time point, and generates an abnormal operation record. The status judgment module is used to determine whether the elevator is in an idle or service state based on the monitoring data of working parameters and / or video monitoring data. The self-test module is used to determine whether the elevator is in an idle or service state based on the monitoring data of the working parameters. When the elevator is in an idle state, it controls the elevator to run according to the working instructions and working parameters corresponding to the abnormal operation record based on the abnormal operation record. At the same time, it records the working parameters during the operation and monitors the working components in real time, generating self-test working parameter monitoring data and self-test component monitoring data. The early warning module is used to acquire monitoring data of self-test working parameters and / or monitoring data of self-test components, judge them according to preset conditions, and generate abnormal operation information and / or intervene in the operation of the elevator when they do not meet the preset requirements.

10. The elevator operation monitoring system as described in claim 9, characterized in that, It also includes: The image judgment unit is used to acquire image monitoring data, extract image frames from it according to preset conditions, and compare the image frames with preset reference frames to obtain image comparison results; it is also used to output information on personnel lingering, items lingering, no one in the area, or abnormal personnel status according to preset conditions based on the image comparison results.

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