WO2020108487A1 - 一种分布式电梯监测平台 - Google Patents
一种分布式电梯监测平台 Download PDFInfo
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- WO2020108487A1 WO2020108487A1 PCT/CN2019/120997 CN2019120997W WO2020108487A1 WO 2020108487 A1 WO2020108487 A1 WO 2020108487A1 CN 2019120997 W CN2019120997 W CN 2019120997W WO 2020108487 A1 WO2020108487 A1 WO 2020108487A1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
Definitions
- the invention belongs to the technical field of elevator monitoring, in particular to a distributed elevator monitoring platform.
- the technical problem solved by the present invention is to provide a distributed elevator monitoring platform, which transmits the tested elevator status data to a database for comparison, and judges whether to go for maintenance, with high monitoring accuracy , High labor efficiency, reduce testing costs.
- the present invention provides a distributed elevator monitoring platform, including:
- the laser installed on the side wall of the elevator shaft, is used to detect whether the elevator is damaged;
- Gravity sensor installed at the bottom of the elevator car, used to monitor the load status of the elevator
- the acceleration sensor is installed on the upper end of the elevator to monitor the acceleration of the elevator
- the tension sensor is installed on the elevator traction rope to monitor the force of the elevator traction rope;
- Hall sensor installed on the side wall of the elevator shaft, used to monitor the running speed of the elevator by monitoring the time passed by the induction metal block installed on the inner wall of the elevator car;
- Position sensors installed in groups on the side walls of the elevator shaft, used to monitor the position of the elevator;
- the CPU processor is respectively connected to the laser, gravity sensor, acceleration sensor, tension sensor, hall sensor and position sensor, and is used to collect the data of the actual running state of the elevator and the data of the normal running state of the elevator set in advance Carry out comparison and feed back the comparison results of elevator monitoring to the management center.
- the management center analyzes and judges the abnormal data and maintains and overhauls the elevator.
- the acquisition module of the laser and each sensor transmits data to an A/D converter, and the A/D converter processes all signals into digital signals and feeds back to the CPU processor through a network port.
- the present invention further includes a timing module for monitoring the use time of the elevator.
- the distributed elevator monitoring platform provided by the present invention is used to monitor the elevator, and the running state of the elevator can be monitored in real time during the operation of the elevator.
- the distributed elevator monitoring platform overcomes the conversion of the original centralized monitoring technology. ,
- the elevator monitoring platform can directly feedback the elevator running status to the management, which effectively solves the drawbacks of manually comparing the parameters of the status monitoring with the parameters of the normal state, and the centralized monitoring platform manually
- the way of comparing state parameters is large error, low efficiency, long period, high labor cost, and poor reliability. There is also the possibility of affecting the monitoring results due to subjective reasons.
- the distributed elevator monitoring platform of the present invention can greatly shorten the cycle, improve accuracy, reduce costs, improve efficiency and reliability, and do not require manual participation in the monitoring and data processing process, and will not affect the monitoring results due to human subjective factors.
- 1 is a schematic diagram of elevator status monitoring of the distributed elevator monitoring platform of the present invention
- Fig. 2 is a flow chart of feedback data judgment of the distributed elevator monitoring platform of the present invention.
- the distributed elevator monitoring platform monitors elevators, which is mainly used in elevator operation monitoring in cities to realize monitoring and feedback of elevator operation processes, including laser 1, gravity sensor 2, Acceleration sensor 3, tension sensor 4, Hall sensor 5, inductive metal block 6, position sensor 7 and CPU processor 8, wherein the laser 1 is installed on the side wall of the elevator shaft, and the laser 1 emits laser to detect the presence of the elevator Damage;
- the gravity sensor 2 is installed at the bottom of the elevator car to monitor the load state of the elevator;
- the acceleration sensor 3 is installed at the upper end of the elevator to monitor the acceleration of the elevator in various operating states and speed states, to prevent abnormal acceleration from causing hidden dangers or Discomfort to passengers;
- the tension sensor 4 is installed on the elevator traction rope, and the elevator is running or stationary by measuring the tension of the traction rope;
- the Hall sensor 5 is installed on the side wall of the elevator shaft to sense the metal block 6 Installed on the inner side wall of the elevator car, Hall sensor 5 monitors the running speed of the elevator by monitoring the time passed by the
- Each sensor has an independent system, and the parameters collected by the sensor in the sensor to the elevator running state are fed back to the CPU processor 8.
- the CPU processor 8 pre-sets each state parameter of the elevator to run normally, and the feedback data and Each state parameter of the normal operation of the elevator is compared, and the elevator monitoring status and the comparison result are fed back to the management center.
- the monitoring center maintains and repairs the elevator according to the actual situation.
- the distributed elevator monitoring platform of the present invention can quickly output the data comparison For the results, reduce the error caused by multiple feedbacks of centralized monitoring, the monitoring and program control process does not require manual participation, and improve the monitoring efficiency and reliability.
- the invention inputs the state parameters of the normal running of the elevator in the CPU processor 8 in advance, and each monitoring data of the elevator is fed back to the CPU processor 8 to judge whether the elevator is normal by comparing with the parameters of the normal running state of the elevator. Center for feedback.
- the degree of manual participation is relatively low, the number of signal conversions is low, the labor cost and measurement error are reduced, time is saved, and the problem of this method of manually comparing state parameters in the centralized monitoring system is solved , Can avoid problems caused by factors such as low accuracy of monitoring data, excessive errors and negligence of staff.
- the use method of the distributed elevator monitoring platform of the present invention is as follows:
- each sensor is used to monitor the elevator's operating status parameters.
- the elevator status monitored by each sensor is collected by the collection module.
- the collection module of each sensor transmits the data to the A/D converter 9,
- the A/D converter 9 processes all signals into digital signals and feeds them back to the CPU processor 8 through the network port 10.
- CPU processor 8 internally stores the state parameters of the elevator running under normal conditions.
- the program compares the feedback signal with the original state parameters, and feeds back the results to the management center.
- the management center decides whether to stop the elevator based on the feedback results.
- the situation assigns staff to maintain and overhaul the elevator.
- this method does not require manual participation during the monitoring process, reducing operation
- the workload of the operator and the number of data conversions in the distributed monitoring process are small, which effectively reduces the errors generated by the data conversion, and at the same time effectively avoids the safety problems caused by unfavorable human supervision and personnel negligence, creating a new type of elevator monitoring Ideas.
- the distributed elevator monitoring platform of the present invention compares the data collected by the sensors with the elevator operation data set in advance under normal conditions, and feeds back signals to the management center after system processing.
- the management center can analyze and judge the abnormal data and there is operation When the condition is seriously inconsistent with the standard, the elevator stops and the maintenance personnel perform maintenance.
- the invention inputs preset programs and parameters into the CPU processor, monitors various state parameters of the elevator through sensors, judges whether the elevator has safety problems through the monitoring results, improves elevator operation reliability, and can monitor elevator operation during elevator operation Status, real-time all-round monitoring of the elevator car position, elevator running speed, elevator load and other parameters, the monitoring system finds the fault in time and sends a fault signal to the monitoring center for analysis, when the elevator fails, the elevator stops Operation, effectively reduce the occurrence of elevator failures and ensure the safe operation of elevators.
- the entire monitoring process of the present invention does not require human intervention, effectively avoids the influence of subjective factors caused by human intervention on the results, and reduces the workload of humans, greatly improving the efficiency of work, fast speed, low cost, labor intensity Low and high reliability, which solves the problems of lagging, labor intensity, poor reliability and so on in the elevator monitoring manual comparison of various status parameters.
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- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
一种分布式电梯监测平台,包括激光器(1),用于检测电梯是否存在损伤;重力传感器(2),用于监测电梯的负载状态;加速度传感器(3),用于监测电梯的加速度;拉力传感器(4),用于监测电梯曳引绳的受力状况;霍尔传感器(5),用于通过监测安装在电梯轿厢内的感应金属块(6)所通过的时间监测电梯的运行速度;位置传感器(7),用于监测电梯的位置;CPU处理器(8)。该平台能够在电梯运行中监测电梯运行状态,实时全方位监测,及时发现故障并发出故障信号到监测中心,进行分析,保证电梯的安全运行。该平台的整个监测过程无需人为干预,降低了人的工作量,大大提高了工作的效率,解决了现在电梯监测人工比对各个状态参数存在滞后性且劳动强度大、可靠性差等诸多问题。
Description
本发明属于电梯监测的技术领域,尤其涉及一种分布式电梯监测平台。
近年来电梯事故接连发生,使得电梯的安全性引起了人们的关注。目前,电梯监测的工作中,存在着诸多运行状态与参数,如果需要人工处理,需要消耗大量的人力与时间,在实际应用中存在着很多问题,不具有可操作性,并且人为进行判断会由于人为失误产生许多问题,将会对电梯的安全运行带来很大的隐患,并且大量使用人工,效率低,延长了检测周期增大了检测成本。
发明内容
基于以上现有技术的不足,本发明所解决的技术问题在于提供一种分布式电梯监测平台,通过将测试出的电梯状态数据传输到数据库进行对比,并进行判断是否前去维修,监测精度高,人工效率高,减少检测成本。
为了解决上述技术问题,本发明通过以下技术方案来实现:本发明提供一种分布式电梯监测平台,包括:
激光器,安装在电梯井道的侧壁上,用于检测电梯是否存在损伤;
重力传感器,安装在电梯轿厢的底部,用于监测电梯的负载状态;
加速度传感器,安装在电梯的上端,用于监测电梯的加速度;
拉力传感器,安装在电梯曳引绳上,用于监测电梯曳引绳的受力状况;
霍尔传感器,安装在电梯井道的侧壁上,用于通过监测安装在电梯轿厢内侧壁上的感应金属块所通过的时间监测电梯的运行速度;
位置传感器,成组的安装在电梯井道的侧壁上,用于监测电梯的位置;
CPU处理器,分别与所述激光器、重力传感器、加速度传感器、拉力传感器、霍尔传感器和位置传感器连接,用于将采集到的电梯实际运行状态的数据与预先设置好的电梯正常运行状态的数据进行比对,并向管理中心反馈电梯监测的比对结果,管理中心根据异常数据进行分析判断并对电梯进行保养与检修。
进一步的,所述激光器和各个传感器的采集模块将数据传送到A/D转换器中,所述A/D转换器将所有信号处理为数字信号并通过网络端口反馈到所述CPU处理器。
可选的,本发明还包括计时模块,用于监测电梯的使用时间。
由上,利用本发明提供的分布式电梯监测平台对电梯进行监测,可以在电梯的运行过程中实时监测电梯的运行状态,采用了分布式电梯监测平台克服了原有集中式监测技术转换环节多、误差大的缺陷,由于电梯运行状态复杂且数据繁多,人工比对消耗的时间长并且可能出现由于比对过程中比对者的主观原因影响到最终结果,无法保证监测有效性,利用分布式电梯监测平台进行监测可以直接向管理反馈电梯运行状态,有效的解决了人工对状态监测的各项参数与正常状态的各项参数进行比对存在的弊端,并且集中式监测平台通过人工对各项状态参数进行比对的方式误差大、效率低、周期长、人工成本高、可靠性差,还存在这由于主观原因影响监测结果的可能。采用本发明的分布式电梯监测平台可以大幅度的缩短周期、提高精度,降低成本,提高效率与可靠性,而且不需要人工参与监测与数据处理过程,不会由于人的主观因素影响监测结果。
上述说明仅是本发明技术方案的概述,为了能够更清楚了解本发明的 技术手段,而可依照说明书的内容予以实施,并且为了让本发明的上述和其他目的、特征和优点能够更明显易懂,以下结合优选实施例,并配合附图,详细说明如下。
为了更清楚地说明本发明实施例的技术方案,下面将对实施例的附图作简单地介绍。
图1为本发明的分布式电梯监测平台的电梯状态监测示意图;
图2为本发明的分布式电梯监测平台的反馈数据判断流程图。
图中:1-激光器;2-重力传感器;3-加速度传感器;4-拉力传感器;5-霍尔传感器;6-感应金属块;7-位置传感器;8-CPU处理器;9-A/D转换器;10-网络端口。
下面结合附图详细说明本发明的具体实施方式,其作为本说明书的一部分,通过实施例来说明本发明的原理,本发明的其他方面、特征及其优点通过该详细说明将会变得一目了然。在所参照的附图中,不同的图中相同或相似的部件使用相同的附图标号来表示。
如图1及图2所示,本发明提供的分布式电梯监测平台对电梯进行监测,主要应用于城市中电梯运行监测工作,实现电梯运行过程的监测与反馈,包括激光器1、重力传感器2、加速度传感器3、拉力传感器4、霍尔传感器5、感应金属块6、位置传感器7和CPU处理器8,其中,激光器1安装在电梯井道的侧壁上,激光器1通过发射激光来检测电梯是否存在损伤;重力传感器2安装在电梯轿厢的底部,通过其监测电梯的负载状态;加速度传感器3安装在电梯的上端,监测电梯在各个运行状态与速度状态 下的加速度,防止加速度异常导致安全隐患或给乘客带来的不适;拉力传感器4安装在电梯曳引绳上,通过测量曳引绳的拉力判断电梯为运行状态还是静止状态;霍尔传感器5安装在电梯井道的侧壁上,感应金属块6安装在电梯轿厢内侧壁上,霍尔传感器5通过监测感应金属块6所通过的时间监测电梯的运行速度;位置传感器7成组的安装在电梯电梯井道的侧壁上,用以监测电梯位置。本发明还包括计时模块,用于监测电梯的使用时间,防止电梯连续工作时间过长。
每一个传感器都具有独立的系统,将传感器中的采集模块采集到电梯运行状态的参数反馈到CPU处理器8中,CPU处理器8中预先设置好电梯正常运行的各个状态参数,将反馈数据与电梯正常运行的各个状态参数进行比对,向管理中心反馈电梯监测状态与比对结果,监测中心根据实际情况对电梯进行保养与检修,通过本发明的分布式电梯监测平台可以快速的输出数据比对结果,减低集中式监测多次反馈所造成的误差,监测与程序控制过程无需人工参与,提高监测效率与可靠性。
本发明将电梯正常运行的状态参数预先输入在CPU处理器8中,电梯的各个监测数据反馈到CPU处理器8中,通过与电梯正常运行状态的参数进行比对,判断电梯是否正常,向管理中心进行反馈。利用本发明的分布式电梯监测平台,人工参与程度比较低,信号转化次数少,降低人工成本与测量误差,节约时间,解决了集中式监测系统人为对状态参数进行比对这种方法存在的问题,可以避免由于监测数据精度低、误差过大与工作人员的疏忽等因素导致的问题。
本发明的分布式电梯监测平台的使用方法如下:
如图1所示,先通过各个传感器分别去监测电梯各个运行状态参数,各个传感器所监测的电梯状态会被采集模块所采集,各个传感器的采集模块将数据传送到A/D转换器9中,A/D转换器9将所有信号处理为数字信 号通过网络端口10反馈到CPU处理器8中。CPU处理器8内部存有正常状态下电梯运行的状态参数,利用程序将反馈信号与原有的状态参数进行比对,将结果反馈到管理中心,管理中心根据反馈结果决定是否停止电梯,根据实际情况调派工作人员对电梯进行维护与检修。这样的方式解决了在电梯运行精度要求高、状态复杂且参数繁多,监测工作困难且庞大的情况下电梯监测效率与可靠性问题,并且这种方式在监测的过程中无需人工参与,降低了操作者的工作量,分布式监测过程数据转化次数少,有效降低数据转化产生的误差,同时有效的避免了因为人为监管不利以及人员的疏忽所导致的安全问题,为电梯的监测开创了一种新思路。
本发明的分布式电梯监测平台通过读取传感器采集的数据与预先设置正常情况下的电梯运行数据进行比对,经过系统处理向管理中心反馈信号,管理中心对于异常数据可以进行分析判断,存在运行状态严重不符合标准时,电梯停止,维护人员进行检修。本发明向CPU处理器中输入预设程序与参数,通过传感器对电梯的各个状态参数进行监测,通过监测的结果判断电梯是否存在安全问题,提高电梯运行可靠性,能够在电梯运行中监测电梯运行状态,对电梯轿厢位置、电梯运行速度、电梯负载情况等各项参数进行实时全方位监测,监测系统及时发现故障并发出故障信号到监测中心,进行分析,当电梯运行出现故障时,电梯停止运行,有效减少电梯故障的发生,保证电梯的安全运行。本发明的整个监测过程无需人为干预,有效的避免了由于人为干预所产生的主观因素对于结果的影响,并且降低了人的工作量,大大提高了工作的效率,速度快、成本低、劳动强度低、可靠性高,解决了现在电梯监测人工比对各个状态参数存在滞后性且劳动强度大、可靠性差等诸多问题。
以上所述是本发明的优选实施方式而已,当然不能以此来限定本发明之权利范围,应当指出,对于本技术领域的普通技术人员来说,在不脱离 本发明原理的前提下,还可以做出若干改进和变动,这些改进和变动也视为本发明的保护范围。
Claims (3)
- 一种分布式电梯监测平台,其特征在于,包括:激光器(1),安装在电梯井道的侧壁上,用于检测电梯是否存在损伤;重力传感器(2),安装在电梯轿厢的底部,用于监测电梯的负载状态;加速度传感器(3),安装在电梯的上端,用于监测电梯的加速度;拉力传感器(4),安装在电梯曳引绳上,用于监测电梯曳引绳的受力状况;霍尔传感器(5),安装在电梯井道的侧壁上,用于通过监测安装在电梯轿厢内侧壁上的感应金属块(6)所通过的时间监测电梯的运行速度;位置传感器(7),成组的安装在电梯井道的侧壁上,用于监测电梯的位置;CPU处理器(8),分别与所述激光器(1)、重力传感器(2)、加速度传感器(3)、拉力传感器(4)、霍尔传感器(5)和位置传感器(7)连接,用于将采集到的电梯实际运行状态的数据与预先设置好的电梯正常运行状态的数据进行比对,并向管理中心反馈电梯监测的比对结果,管理中心根据异常数据进行分析判断并对电梯进行保养与检修。
- 如权利要求1所述的分布式电梯监测平台,其特征在于,所述激光器(1)和各个传感器的采集模块将数据传送到A/D转换器(9)中,所述A/D转换器(9)将所有信号处理为数字信号并通过网络端口(10)反馈到所述CPU处理器(8)。
- 如权利要求1所述的分布式电梯监测平台,其特征在于,还包括计时模块,用于监测电梯的使用时间。
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
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| CN116946833B (zh) * | 2023-07-25 | 2026-02-17 | 安徽大学 | 一种井架结构安全性的监测方法 |
| CN119117847B (zh) * | 2024-11-11 | 2025-03-07 | 杭州赛翔科技有限公司 | 一种电梯升降状态监测方法及系统 |
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| US20040206583A1 (en) * | 2002-02-05 | 2004-10-21 | John Mearns | Method and arrangement for telemonitoring an elevator |
| CN202848789U (zh) * | 2012-10-17 | 2013-04-03 | 林创鲁 | 一种电梯运行状态监测与报警装置 |
| CN204280939U (zh) * | 2014-12-05 | 2015-04-22 | 陆为民 | 一种电梯运行监测预警系统 |
| CN107187978A (zh) * | 2017-05-12 | 2017-09-22 | 长沙慧联智能科技有限公司 | 一种电梯运行状态监测系统及监测方法 |
| CN107902515A (zh) * | 2017-12-14 | 2018-04-13 | 成都众柴科技有限公司 | 一种曳引与强制驱动电梯实时在线安全监测系统及其实现方法 |
| CN207698952U (zh) * | 2017-12-14 | 2018-08-07 | 成都众柴科技有限公司 | 一种曳引与强制驱动电梯实时在线安全监测系统 |
| CN109484938A (zh) * | 2018-11-29 | 2019-03-19 | 辽宁工程技术大学 | 一种分布式电梯监测平台 |
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- 2018-11-29 CN CN201811446133.6A patent/CN109484938A/zh active Pending
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|---|---|---|---|---|
| US20040206583A1 (en) * | 2002-02-05 | 2004-10-21 | John Mearns | Method and arrangement for telemonitoring an elevator |
| CN202848789U (zh) * | 2012-10-17 | 2013-04-03 | 林创鲁 | 一种电梯运行状态监测与报警装置 |
| CN204280939U (zh) * | 2014-12-05 | 2015-04-22 | 陆为民 | 一种电梯运行监测预警系统 |
| CN107187978A (zh) * | 2017-05-12 | 2017-09-22 | 长沙慧联智能科技有限公司 | 一种电梯运行状态监测系统及监测方法 |
| CN107902515A (zh) * | 2017-12-14 | 2018-04-13 | 成都众柴科技有限公司 | 一种曳引与强制驱动电梯实时在线安全监测系统及其实现方法 |
| CN207698952U (zh) * | 2017-12-14 | 2018-08-07 | 成都众柴科技有限公司 | 一种曳引与强制驱动电梯实时在线安全监测系统 |
| CN109484938A (zh) * | 2018-11-29 | 2019-03-19 | 辽宁工程技术大学 | 一种分布式电梯监测平台 |
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