WO2024119357A1 - 一种城市电梯运维管控一体化系统 - Google Patents

一种城市电梯运维管控一体化系统 Download PDF

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WO2024119357A1
WO2024119357A1 PCT/CN2022/136815 CN2022136815W WO2024119357A1 WO 2024119357 A1 WO2024119357 A1 WO 2024119357A1 CN 2022136815 W CN2022136815 W CN 2022136815W WO 2024119357 A1 WO2024119357 A1 WO 2024119357A1
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elevator
maintenance
urban
monitoring
data
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PCT/CN2022/136815
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English (en)
French (fr)
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顾颉颖
田莹
张润鑫
刘峻铭
孙常亮
刘伟
刘海滨
王海舰
谢飞
曹正强
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山东科技大学
青岛市特种设备检验研究院
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Application filed by 山东科技大学, 青岛市特种设备检验研究院 filed Critical 山东科技大学
Priority to CN202280041290.7A priority Critical patent/CN117916188A/zh
Priority to PCT/CN2022/136815 priority patent/WO2024119357A1/zh
Publication of WO2024119357A1 publication Critical patent/WO2024119357A1/zh

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  • the present invention relates to the technical field of information detection and intelligent supervision, and in particular to an integrated system for urban elevator operation, maintenance and control.
  • the present invention provides an integrated system for the operation, maintenance and control of urban elevators. It integrates fault, operation and management monitoring of the operating status of elevators in service in the city, improves the safety and quality coefficient of elevators, reduces elevator failures, and promotes the construction and development of smart cities.
  • An integrated system for urban elevator operation, maintenance and control including a single elevator intelligent monitoring system, an urban GPRS data transmission system, a remote monitoring communication service system, and an urban operation, maintenance and control big data platform;
  • the single elevator intelligent monitoring system includes an intelligent perception system, an elevator cloud evaluation model, and an elevator fault prediction management platform.
  • the intelligent perception system includes an elevator load sensor, a wire rope state monitoring sensor, an elevator running speed monitoring sensor, an elevator running position monitoring sensor, an elevator control system and an electrical signal monitoring sensor, a human body sensing signal sensor, an elevator start-stop buffer monitoring sensor, and an elevator traction wheel grinding monitoring sensor;
  • the elevator load sensor is installed at the bottom of the elevator car, the wire rope status monitoring sensor is fixed on the traction wheel and the wire rope passes through it, the elevator running speed monitoring sensor and the elevator running position monitoring sensor are installed on both sides of the outside of the elevator car, the elevator control system and the electrical signal monitoring sensor are installed in the elevator operation control circuit, the human body sensing signal sensor is installed on the outside of the elevator car door opening side and inside the car, the elevator start and stop buffer monitoring sensor is installed on the outside of the elevator car, and the elevator traction wheel wear monitoring sensor is installed on the traction wheel.
  • Each sensor is equipped with a wireless transmission system, which integrates the data through the local ring network and transmits it to the elevator cloud evaluation model.
  • the sensor in the intelligent sensing system must be calibrated and tested before use, that is, the signal generated by other no-load running forces that are not related to the detection signal is filtered to improve the monitoring accuracy;
  • the elevator cloud assessment model is based on a multi-information fault fusion diagnosis algorithm, uses the monitoring data of the sensor as the input signal, and adopts the decision-making means of the entropy weight method and evidence theory to construct the elevator cloud assessment model; the elevator fault prediction management platform integrates the quality and safety traceability system through the elevator's safety and trustworthiness model, and has the functions of traceability collection, traceability management and traceability analysis of elevator operation parameters, so as to dynamically grasp the safety status of elevator operation.
  • Each single elevator intelligent monitoring system is connected to the Internet, and the data is transmitted to the cloud platform in real time and can be viewed in real time on the urban operation and maintenance control big data platform terminal.
  • the city GPRS data transmission system adopts ARM9 high-performance industrial-grade embedded processor to integrate and transmit the single elevator online monitoring data detected by the single elevator intelligent monitoring system to the city operation and maintenance control big data platform in the form of packets, providing end-to-end, wide-area wireless IP connection;
  • the remote monitoring communication service system includes the city Internet, wireless network, and communication base stations to realize data communication, monitor the detection data and environmental parameters of the data transmission system and the intelligent sensing system, and complete the upload and transmission of a single elevator operation data.
  • the urban operation and maintenance control big data platform integrates various detection data of single elevators in the city to form an operation and maintenance control platform for elevators in service in the city;
  • the urban operation and maintenance control big data platform integrates communication transmission data to form an operation and maintenance control platform for urban elevators in service, which has human-computer interaction functions.
  • the urban operation and maintenance control big data platform can view the elevator brand, elevator manufacturer, elevator model, elevator parts, and maintenance project information online, and supports querying elevator data, elevator usage status, elevator health status, elevator operation records, elevator maintenance plans, elevator insurance records, and elevator physical examination information. It can realize predictive maintenance of various types of elevators, judge the elevator status, and generate maintenance plans according to the health status of the elevator. It has an intelligent dispatch inspection system, various terminal detection modes such as mobile phones, computers, and iPads, and integrates intelligent terminal positioning navigation to realize dispatch maintenance that integrates fault elevator positioning and maintenance worker positioning.
  • the present invention is an integrated system for operation, maintenance and control of urban elevators.
  • the present invention solves the problems in the prior art, forms an intelligent detection and multi-information fusion diagnosis system for in-service elevators, realizes real-time control of the operating parameters of in-service elevators, can effectively improve the detection efficiency of elevators, shorten the detection cycle, and reduce the operation and maintenance costs.
  • an intelligent sensing system of monitoring points GPRS data transmission and remote monitoring communication service center
  • a big data operation and maintenance management platform for in-service urban elevators is formed, realizing highly intensive management of urban elevator big data monitoring-elevator health diagnosis-remote operation and maintenance.
  • FIG1 is an overall schematic diagram of an integrated system for operation, maintenance and control of urban elevators provided by the present invention.
  • An integrated system for urban elevator operation, maintenance and control includes a single elevator intelligent monitoring system, an urban GPRS data transmission system, a remote monitoring communication service system, and an urban operation, maintenance and control big data platform;
  • the single elevator intelligent monitoring system includes an intelligent perception system, an elevator cloud evaluation model, and an elevator fault prediction management platform, which are used to collect operating parameters of various parts of in-service elevators, and realize accurate identification of single elevator faults through evaluation models and intelligent edge algorithms;
  • the intelligent perception system includes elevator load sensors, wire rope status monitoring sensors, elevator running speed monitoring sensors, elevator running position monitoring sensors, elevator control systems and electrical signal monitoring sensors, human body sensing signal sensors, elevator start and stop buffer monitoring sensors, and elevator traction wheel wear monitoring sensors.
  • Each sensor mainly collects electrical signals, operating status and positioning, structural wear or faults, etc. of the elevator control system, and the installation position of the sensor is determined according to the specific model, structure and purpose of the elevator.
  • the elevator load sensor is installed at the bottom of the elevator car, the wire rope status monitoring sensor is fixed on the traction wheel and the wire rope passes through it, the elevator running speed monitoring sensor and the elevator running position monitoring sensor are installed on both sides of the outside of the elevator car, the elevator control system and the electrical signal monitoring sensor are installed in the elevator operation control circuit, the human body sensing signal sensor is installed on the outside of the elevator car door opening side and inside the car, the elevator start and stop buffer monitoring sensor is installed on the outside of the elevator car, and the elevator traction wheel wear monitoring sensor is installed on the traction wheel.
  • Each sensor is equipped with a wireless transmission system, which integrates the data through the local ring network and transmits it to the elevator cloud evaluation model.
  • the sensors in the intelligent sensing system must be calibrated and tested before use, that is, the signals generated by gravity, friction and other no-load forces that are irrelevant to the detection signal are filtered to improve the monitoring accuracy;
  • the elevator cloud assessment model is based on a multi-information fault fusion diagnosis algorithm, uses the monitoring data of the sensor as the input signal, and adopts the decision-making means of the entropy weight method and evidence theory to construct an elevator cloud assessment model;
  • the elevator fault prediction management platform integrates the quality and safety traceability system through the elevator's safety and trustworthiness model, and has the functions of traceability collection, traceability management and traceability analysis of elevator operation parameters, so as to dynamically grasp the safety status of elevator operation.
  • Each single elevator intelligent monitoring system is connected to the Internet, and the data is transmitted to the cloud platform in real time and can be viewed in real time on the urban operation and maintenance control big data platform terminal.
  • the city GPRS data transmission system adopts ARM9 high-performance industrial embedded processor to integrate and transmit the single elevator online monitoring data detected by the single elevator intelligent monitoring system to the city operation and maintenance control big data platform in the form of packets, providing end-to-end, wide-area wireless IP connection. It is used to store the process data and result data processed by the core processor, has strong temperature adaptability, supports sleep and wake-up functions, and meets the needs of industrial low energy consumption.
  • the elevator monitoring distribution includes the following forms: 1 Geographical location, such as: residential community/community, shopping mall, industrial park, etc.; 2 Elevator type, such as freight elevator, passenger elevator, medical elevator, sightseeing elevator, etc.; 3 Driving mode, such as: AC elevator, DC elevator, hydraulic elevator, gear rack elevator; 4 Control mode, such as: handle switch, button control, signal control, collective selection control, etc.; 5 Running speed, such as: ultra-high speed, high speed, low speed;
  • the remote monitoring communication service system includes the city Internet, wireless network, and communication base stations to realize data communication, monitor the detection data and environmental parameters of the data transmission system and the intelligent sensing system, and complete the upload and transmission of a single elevator operation data. It mainly monitors and monitors the transmission data online, understands the situation of each transmission system more directly, strengthens the maintenance and management of the transmission data, and ensures the signal quality;
  • the urban operation and maintenance control big data platform integrates various detection data of single elevators in the city to form an operation and maintenance control platform for elevators in service in the city;
  • the urban operation and maintenance control big data platform adopts an industrial-grade core processor to integrate communication transmission data to form an operation and maintenance control platform for the city's in-service elevators, and has human-computer interaction functions.
  • the urban operation and maintenance control big data platform can view the elevator brand, elevator manufacturer, elevator model, elevator parts, and maintenance project information online, and supports querying elevator data, elevator usage status, elevator health status, elevator operation records, elevator maintenance plans, elevator insurance records, and elevator physical examination information. It can realize predictive maintenance of various types of elevators, judge the elevator status, and generate maintenance plans according to the health status of the elevator. It has an intelligent dispatch inspection system, various terminal detection modes such as mobile phones, computers, and iPads, and integrates intelligent terminal positioning navigation to realize dispatch maintenance that integrates fault elevator positioning and maintenance worker positioning.
  • a series of sensors are arranged inside or outside the elevator car, such as car guide rails, wire ropes, traction structures, control circuits, etc., to build a monitoring system for all components of the elevator's operating status and control system, counterweight system, etc.
  • maintenance personnel use elevator intelligent detectors to detect the elevator's status parameters, and form data to transmit to the terminal, which is integrated with the sensor monitoring signal to form an intelligent perception system for in-service elevators; through the elevator status cloud evaluation model, the multi-information fusion technology of elevator intelligent monitoring is adopted, and the evaluation and judgment of the elevator's operating status is realized through multi-source data methods such as data quality evaluation, safety tracing, legal and regulatory accident case knowledge graphs, special equipment data mining technology and visualization analysis; the city's in-service elevators are classified by purpose, geographical location, starting method, control method, drive form, etc., and the single elevator online monitoring data is integrated and transmitted to the city's operation and maintenance management and control big data platform in the form of groups through the city's GPRS data transmission system, where the remote monitoring communication service system monitors the data signal and strengthens the maintenance and management of the transmitted data.
  • the remote monitoring communication service system monitors the data signal and strengthens the maintenance and management of the transmitted data.
  • the city's operation and maintenance control big data platform integrates all the detection data of all single elevators in the city to form an operation and maintenance control platform for the city's in-service elevators. Managers can monitor the operating status of any elevator online in real time through various terminals such as mobile phones, computers, and iPads.
  • the platform also has feedback communication and intelligent maintenance systems, integrating the navigation and positioning system of intelligent terminals, and has the functions of locating elevator faulty equipment and maintenance personnel, so as to achieve rapid dispatch of repairs and form an integrated operation and maintenance control system for urban in-service elevators.

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Abstract

本发明提供一种城市电梯运维管控一体化系统,涉及信息检测与智能监管技术领域。本发明中单电梯智能监测系统用于采集在役电梯各部位的运行参数,将维保人员监测信息与传感器监测信息集成,通过云评估模型实现单体电梯故障的精准判别,城市GPRS数据传输系统将单电梯在线监测数据传输到城市运维管控大数据平台;远程监控通信服务系统加强对传输数据的维护管理、保证信号质量;城市运维管控大数据平台集成城市所有单电梯智能监测系统,通过终端实时在线监测任意电梯的运行状态,通过反馈通讯及智能维保系统融合导航定位系统,具备电梯故障设备定位和维保人员定位功能,实现快速派单维修,形成城市在役电梯运维管控一体化系统。

Description

一种城市电梯运维管控一体化系统 技术领域
本发明涉及信息检测与智能监管技术领域,特别涉及一种城市电梯运维管控一体化系统。
背景技术
电梯的检修和维保工作是保护人员安全、保障设备稳定的重要环节,当前大部分检测工作主要依靠维修工人手动检测,使得检测工作效率低、识别误差较大、时效性差,同时这种过于宽泛的人为操作空间导致电梯检验数据的真实性难以保障。
随着科技水平的发展,居民的生活水平逐渐提升,高层建筑数量不断增加,电梯数量也随之大幅增多,电梯的电气部件、机械部件会不断磨损、老化,甚至失效,而这必然会导致电梯故障率增加、可靠性下降,目前安装电梯监管装置的电梯只能实现人员被困电梯后高效处置的功能,无法进行事先预警。市场中尚未出现监控电梯构件质量安全以减少电梯安全事故的平台。在传感器技术运用层面,不同厂商生产的不同硬件无法兼容,数据协议也无法实现交互,彼此形成了信息孤岛,制约了智能硬件的协同发展,。导致电梯的检测工作越发困难。
因此需要开发一种城市电梯运维管控一体化系统,跟踪电梯的维保、故障处理和日常运行,对城市在役电梯运行状态进行监控对电梯故障进行监测,有助于电梯隐患的及时发现,提高救援服务的效率和质量,减少各方损失,有助于达到良好的社会效益。
发明内容
针对现有技术存在的问题,本发明提供了一种城市电梯运维管控一体化系统。对城市在役电梯运行状态进行故障、运维、管理一体化监测,提高电梯的安全质量系数,减少电梯故障,推动智慧城市的建设和发展。
为了实现上述目的,本发明的技术方案是:
一种城市电梯运维管控一体化系统,包括单电梯智能监测系统、城市GPRS数据传输系统、远程监控通信服务系统、城市运维管控大数据平台;
所述单电梯智能监测系统,包括智能感知系统、电梯云评估模型、电梯故障预测管理平台,所述智能感知系统包括电梯荷载传感器、钢丝绳状态监测传感器、电梯运行速度监测传感器、电梯运行位置监测传感器、电梯控制系统及电信号监测传感器、人体感应信号传感器,电梯启停缓冲监测传感器,电梯曳引轮磨监测传感器;
其中所述电梯荷载传感器安装在电梯轿厢底部,钢丝绳状态监测传感器固定在曳引轮上且钢丝绳穿过其中,电梯运行速度监测传感器以及电梯运行位置监测传感器安装在电梯轿厢 外部两侧,电梯控制系统及电信号监测传感器安装在电梯运行控制电路,人体感应信号传感器安装在电梯轿厢开门侧外部和轿厢内部,电梯启停缓冲监测传感器安装在电梯轿厢外侧,电梯曳引轮磨监测传感器安装在曳引轮上,每个传感器均配有无线传输系统,通过局域环网将数据集成,传输至电梯云评估模型。
所述智能感知系统中传感器在使用之前必须进行校准测试工作,即将与检测信号无关的其他空载运行的力产生的信号进行过滤,提高监测精度;
所述电梯云评估模型以多信息故障融合诊断算法为基础,利用传感器的监测数据为输入信号,采用熵权法和证据理论的决策手段构建的电梯云评估模型;所述电梯故障预测管理平台通过电梯的安全可信任模型,融合质量安全追溯体系,具备电梯运行参数的追溯采集、追溯管理与追溯分析功能,动态掌握电梯运行安全状况。
所述每个单电梯智能监测系统都是联网的,数据实时传至云端平台,并可以在城市运维管控大数据平台终端实时查看。
所述城市GPRS数据传输系统,采用ARM9高性能工业级嵌入式处理器,将单电梯智能监测系统检测的单电梯在线监测数据以分组的形式集成并传输到所述城市运维管控大数据平台,提供端到端的、广域的无线IP连接;
所述远程监控通信服务系统,包括城市互联网、无线网、通讯基站实现数据的通信,对数据传输系统以及智能感知系统的检测数据、环境参量进行监控监视,完成单个电梯运行数据的上传和传输。
所述城市运维管控大数据平台,集成城市单电梯各项检测数据,形成城市在役电梯的运维管控平台;
所述城市运维管控大数据平台将通讯传输数据整合,形成城市在役电梯的运维管控平台,具备人机交互功能。
所述城市运维管控大数据平台,在线查看电梯品牌、电梯制造商、电梯型号、电梯部件、维保项目信息,支持查询电梯数据、电梯使用状态、电梯健康状态、电梯作业记录、电梯保养计划、电梯投保记录、电梯体检信息。,实现对各类电梯进行预测性维护,判断电梯状态,根据电梯的健康状态生成保养计划,具备智能化派工检验系统,手机、电脑、ipad各类终端检测模式,融合智能终端定位导航,实现故障电梯定位、维修工定位融合的派单维修。
本发明的有益效果:
本发明为一种城市电梯运维管控一体化系统,本发明解决了现有技术中的问题,形成了在役电梯智能检测多信息融合诊断系统,实现了对在用电梯运行参数的实时管控,能够有效提高电梯的检测效率,缩短检测周期、降低运行维护成本,通过监控点智能感知系统、GPRS 数据传输和远程监控通信服务中心,形成了城市在役电梯的大数据运维管理平台,实现了城市电梯大数据监测-电梯健康诊断-远程运维的高度集约式管理。
附图说明
图1是本发明提供的城市电梯运维管控一体化系统总体示意图。
具体实施方式
下面结合附图对本发明具体实施方式加以详细的说明。
一种城市电梯运维管控一体化系统,如图1所示,包括单电梯智能监测系统、城市GPRS数据传输系统、远程监控通信服务系统、城市运维管控大数据平台;
所述单电梯智能监测系统,包括智能感知系统、电梯云评估模型、电梯故障预测管理平台,用于采集在役电梯各部位的运行参数,通过评估模型和智能边缘算法实现单体电梯故障的精准判别;所述智能感知系统包括电梯荷载传感器、钢丝绳状态监测传感器、电梯运行速度监测传感器、电梯运行位置监测传感器、电梯控制系统及电信号监测传感器、人体感应信号传感器,电梯启停缓冲监测传感器,电梯曳引轮磨监测传感器,各传感器主要采集电梯控制系统的电信号、运行状态及定位、结构磨损或故障等,并且传感器的安装位置根据电梯具体型号、结构以及用途确定。
其中所述电梯荷载传感器安装在电梯轿厢底部,钢丝绳状态监测传感器固定在曳引轮上且钢丝绳穿过其中,电梯运行速度监测传感器以及电梯运行位置监测传感器安装在电梯轿厢外部两侧,电梯控制系统及电信号监测传感器安装在电梯运行控制电路,人体感应信号传感器安装在电梯轿厢开门侧外部和轿厢内部,电梯启停缓冲监测传感器安装在电梯轿厢外侧,电梯曳引轮磨监测传感器安装在曳引轮上,每个传感器均配有无线传输系统,通过局域环网将数据集成,传输至电梯云评估模型。
所述智能感知系统中传感器在使用之前必须进行校准测试工作,即将与检测信号无关的重力、摩擦力等其他空载运行的力产生的信号进行过滤,提高监测精度;
所述电梯云评估模型以多信息故障融合诊断算法为基础,利用传感器的监测数据为输入信号,采用熵权法和证据理论的决策手段构建的电梯云评估模型;所述电梯故障预测管理平台通过电梯的安全可信任模型,融合质量安全追溯体系,具备电梯运行参数的追溯采集、追溯管理与追溯分析功能,动态掌握电梯运行安全状况。
所述每个单电梯智能监测系统都是联网的,数据实时传至云端平台,并可以在城市运维管控大数据平台终端实时查看。
所述城市GPRS数据传输系统,采用ARM9高性能工业级嵌入式处理器,将单电梯智能监测系统检测的单电梯在线监测数据以分组的形式集成并传输到所述城市运维管控大数据平 台,提供端到端的、广域的无线IP连接。用于存储所述核心处理器处理的过程数据和结果数据,温度适应性强,支持休眠和唤醒功能,满足工业低能耗的需求。
可选的,根据城市的差别或者城市在役电梯类型的差别等,电梯监测分布包含以下几种形式:①地理位置,如:居民社区/小区、商场、工业园区等;②电梯类型,如货梯、客梯、医用电梯、观光电梯等等;③驱动方式,如:交流电梯、直流电梯、液压电梯、齿轮齿条式电梯;④控制方式,如:手柄开关、按钮控制、信号控制、集选控制等;⑤运行速度,如:超高速、高速、低速;
进一步的,本发明描述的分组方式包括以上几类但不仅限于此。
所述远程监控通信服务系统,包括城市互联网、无线网、通讯基站实现数据的通信,对数据传输系统以及智能感知系统的检测数据、环境参量进行监控监视,完成单个电梯运行数据的上传和传输。主要对传输数据进行在线监控和监视,更直接的了解各个传输系统情况加强对传输数据的维护管理、保证信号质量;
所述城市运维管控大数据平台,集成城市单电梯各项检测数据,形成城市在役电梯的运维管控平台;
所述城市运维管控大数据平台,采用工业级核心处理器,将通讯传输数据整合,形成城市在役电梯的运维管控平台,具备人机交互功能。
所述城市运维管控大数据平台,在线查看电梯品牌、电梯制造商、电梯型号、电梯部件、维保项目信息,支持查询电梯数据、电梯使用状态、电梯健康状态、电梯作业记录、电梯保养计划、电梯投保记录、电梯体检信息。,实现对各类电梯进行预测性维护,判断电梯状态,根据电梯的健康状态生成保养计划,具备智能化派工检验系统,手机、电脑、ipad各类终端检测模式,融合智能终端定位导航,实现故障电梯定位、维修工定位融合的派单维修。
本实施例中,基于上述城市电梯运维管控一体化系统,实现以下方法:
首先,在电梯轿厢内部或外部布置一系列传感器,例如:轿厢导轨、钢丝绳、曳引结构、控制电路等等一系列位置,构建电梯的运行状态与控制系统、配重系统等所有部件监测体系,此外,维保人员在进行维保过程中通过电梯智能检测仪检测电梯的状态参数,并形成数据传输至终端,与传感器监测信号整合形成在役电梯的智能感知系统;通过电梯状态云评估模型,采用电梯智能监测的多信息融合技术,通过数据质量评价、安全追溯、法律法规事故案例知识图谱、特种设备数据挖掘技术及可视化分析等多源数据的方法,实现电梯的运行状态的评估和判定;城市在役电梯通过用途、地理位置、启动方式、控制方式、驱动形式等进行分类,通过城市GPRS数据传输系统将单电梯在线监测数据以分组的形式集成并传输到城市运维管控大数据平台,其中远程监控通信服务系统对数据信号进行监控,加强对传输数据的维护管 理、保证数据信号质量;城市运维管控大数据平台,集成城市内所有单电梯各项检测数据,形成城市在役电梯的运维管控平台,管理者可通过手机、电脑、ipad各类终端实时在线监测任意电梯的运行状态,该平台还具备反馈通讯及智能维保系统,融合智能终端的导航定位系统,具备电梯故障设备定位功能和维保人员定位功能,实现快速派单维修,形成城市在役电梯运维管控一体化系统。
最后应说明的是:以上各实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述各实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分或者全部技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明权利要求所限定的范围。

Claims (4)

  1. 一种城市电梯运维管控一体化系统,其特征在于,包括单电梯智能监测系统、城市GPRS数据传输系统、远程监控通信服务系统、城市运维管控大数据平台;
    所述单电梯智能监测系统,包括智能感知系统、电梯云评估模型、电梯故障预测管理平台,所述智能感知系统包括电梯荷载传感器、钢丝绳状态监测传感器、电梯运行速度监测传感器、电梯运行位置监测传感器、电梯控制系统及电信号监测传感器、人体感应信号传感器,电梯启停缓冲监测传感器,电梯曳引轮磨监测传感器;
    其中所述电梯荷载传感器安装在电梯轿厢底部,钢丝绳状态监测传感器固定在曳引轮上且钢丝绳穿过其中,电梯运行速度监测传感器以及电梯运行位置监测传感器安装在电梯轿厢外部两侧,电梯控制系统及电信号监测传感器安装在电梯运行控制电路,人体感应信号传感器安装在电梯轿厢开门侧外部和轿厢内部,电梯启停缓冲监测传感器安装在电梯轿厢外侧,电梯曳引轮磨监测传感器安装在曳引轮上,每个传感器均配有无线传输系统,通过局域环网将数据集成,传输至电梯云评估模型;
    所述电梯云评估模型以多信息故障融合诊断算法为基础,利用传感器的监测数据为输入信号,采用熵权法和证据理论的决策手段构建的电梯云评估模型;所述电梯故障预测管理平台通过电梯的安全可信任模型,融合质量安全追溯体系,具备电梯运行参数的追溯采集、追溯管理与追溯分析功能,动态掌握电梯运行安全状况;
    所述城市GPRS数据传输系统,采用ARM9高性能工业级嵌入式处理器,将单电梯智能监测系统检测的单电梯在线监测数据以分组的形式集成并传输到所述城市运维管控大数据平台,提供端到端的、广域的无线IP连接;
    所述远程监控通信服务系统,包括城市互联网、无线网、通讯基站实现数据的通信,对数据传输系统以及智能感知系统的检测数据、环境参量进行监控监视,完成单个电梯运行数据的上传和传输;
    所述城市运维管控大数据平台,集成城市单电梯各项检测数据,形成城市在役电梯的运维管控平台;
    所述城市运维管控大数据平台将通讯传输数据整合,形成城市在役电梯的运维管控平台,具备人机交互功能。
  2. 根据权利要求1所述的一种城市电梯运维管控一体化系统,其特征在于,所述单电梯智能监测系统都是联网的,数据实时传至云端平台,并在城市运维管控大数据平台终端实时查看。
  3. 根据权利要求1所述的一种城市电梯运维管控一体化系统,其特征在于,所述智能感知系统中传感器在使用之前必须进行校准测试工作,即将与检测信号无关的其他空载运行的 力产生的信号进行过滤,提高监测精度。
  4. 根据权利要求1所述的一种城市电梯运维管控一体化系统,其特征在于,所述城市运维管控大数据平台,在线查看电梯品牌、电梯制造商、电梯型号、电梯部件、维保项目信息,支持查询电梯数据、电梯使用状态、电梯健康状态、电梯作业记录、电梯保养计划、电梯投保记录、电梯体检信息,实现对各类电梯进行预测性维护,判断电梯状态,根据电梯的健康状态生成保养计划,具备智能化派工检验系统,手机、电脑、ipad各类终端检测模式,融合智能终端定位导航,实现故障电梯定位、维修工定位融合的派单维修。
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