WO2020103682A1 - 一种基于大数据驱动的城市电梯备件存储控制系统 - Google Patents

一种基于大数据驱动的城市电梯备件存储控制系统

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Publication number
WO2020103682A1
WO2020103682A1 PCT/CN2019/115354 CN2019115354W WO2020103682A1 WO 2020103682 A1 WO2020103682 A1 WO 2020103682A1 CN 2019115354 W CN2019115354 W CN 2019115354W WO 2020103682 A1 WO2020103682 A1 WO 2020103682A1
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WIPO (PCT)
Prior art keywords
data
elevator
alarm
module
database
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Ceased
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PCT/CN2019/115354
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English (en)
French (fr)
Inventor
张强
米豪鼎
田莹
冯辉
沈洪岩
谢飞
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Shandong University of Science and Technology
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Shandong University of Science and Technology
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Publication of WO2020103682A1 publication Critical patent/WO2020103682A1/zh
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Ceased legal-status Critical Current

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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
    • B66B5/0037—Performance analysers
    • 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
    • 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
    • B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/04—Ageing analysis or optimisation against ageing

Definitions

  • the invention belongs to the technical field of elevator control, and particularly relates to an urban elevator spare parts storage control system based on big data driving.
  • the technical problem solved by the present invention is to provide an urban elevator spare parts storage control system based on big data, which can predict the length of the normal working hours of elevator accessories that are in operation, according to the prediction As a result of the data, the spare parts of the elevator parts that are about to fail are prepared for storage and adjustment in advance.
  • the present invention provides a storage control system for city elevator spare parts based on big data, including:
  • the elevator parts database construction part is used to construct the elevator parts database by collecting the big data of the elevator parts;
  • the design part of the progress bar of the remaining working life of the elevator operating accessories is used to complete the collection of the corresponding data through the data signal collection module, construct the elevator accessory operating database, and compare the operating data with the data in the database constructed by the elevator accessory database construction Establish a corresponding relationship by comparison, and display the final data analysis and processing results on the terminal to give the elevator parts the remaining working life progress bar display;
  • the data alarm and linkage control part is used to upload data to the alarm database. After analyzing the data, the corresponding alarm execution device is triggered.
  • the construction part of the elevator accessory database includes:
  • Elevator accessories data collection module used to complete the collection of data on the use frequency and duration of different accessories of different brands of elevators
  • a data storage module connected to the ladder accessory data collection module, for saving the collected data
  • the elevator accessory database is connected with the data storage module and is used for data storage and summary to complete the construction of the big data platform.
  • the design part of the progress bar for the remaining working life of the elevator operating accessory includes:
  • a frequency domain signal acquisition module connected to the data storage module, is used to detect the operating frequency parameter of the elevator accessory through a vibration sensor;
  • a time domain signal acquisition module connected to the data storage module, is used to detect the length of time the elevator accessories are running through the clock module;
  • the elevator accessory operation database is connected to the data storage module, and the data storage module is also used to save the elevator accessory operation data;
  • a statistical analysis module connected to the elevator accessory operation database, is used to perform statistics on the elevator accessory operation real-time data, and perform analysis and comparison with the data in the elevator accessory database;
  • the human-computer interaction module is connected to the statistical analysis module, and is used for visually processing the data obtained by the statistical analysis module, and formulating a progress bar for the remaining working life of the operating accessories.
  • the data alarm and linkage control part includes:
  • Alarm data storage module used to receive and store the operating data that triggers the alarm signal
  • An alarm database connected to the alarm data storage module
  • the alarm response module is connected to the statistical analysis module and used for linkage control of the alarm contact, and the statistical analysis module is also used for statistical analysis of the alarm data;
  • a buzzer is connected to the alarm response module and is used to emit an alarm prompt sound.
  • data alarm and linkage control part further includes:
  • a printer connected to the human-computer interaction module, is used to display specific information of the alarm event and print out a detailed report;
  • the GPS signal device is connected with the human-computer interaction module and is used for displaying the specific location where the alarm event occurs.
  • the urban elevator spare parts storage control system based on big data of the present invention builds an elevator parts database by collecting big data of elevator parts. After statistical analysis of the data, the association relationship between elevator parts operating data and life is established by The data signal acquisition module completes the collection of the corresponding data, constructs the elevator accessory operation database, compares the operation data with the data in the constructed elevator accessory database, and establishes a corresponding relationship, and gives the final data analysis and processing results to the terminal for the remaining working life of the elevator accessory
  • the progress bar shows that the progress bar will gradually become shorter at different rates as the running time increases based on different operating frequencies. For the elevator parts in operation, if the progress bar is shortened to 0 through the detection of the operating data, the data will be uploaded to the alarm database.
  • the corresponding alarm execution device After analyzing the data, the corresponding alarm execution device will be triggered: buzzer Respond to prompts, printer output alarm event details, GPS signal device to determine the location of the alarm.
  • the control system of the present invention can prepare more spare parts for the parts with lower average life of the parts through the analysis of the operation data of the elevator parts.
  • the advance warning of the life progress bar of the elevator parts allows the maintenance personnel to carry the corresponding data report from the nearest maintenance point Acquiring corresponding accessories to complete the replacement of elevator accessories in a short time, solved the problem of insufficient spare parts or type and brand mismatch in urban elevators, and improved work efficiency.
  • FIG. 1 is a flowchart of a method for predicting the service life of elevator accessories based on the present invention when not in use;
  • FIG. 2 is a flowchart of a method for predicting the remaining service life of elevator accessories based on the present invention after being put into use;
  • FIG. 3 is a flowchart of a warning and analysis method for an elevator accessory based on the present invention when the remaining service life is insufficient.
  • 1-elevator accessory data acquisition module 2-data storage module, 3-elevator accessory database, 4-statistic analysis module, 5-human-computer interaction module, 6-frequency domain signal acquisition module, 7-time domain signal acquisition module , 8-alarm data storage module, 9-alarm response module, 10-buzzer, 11-printer, 12-GPS signal device, 13-elevator parts operation database, 14-alarm database.
  • the urban elevator spare parts storage control system based on big data of the present invention includes an elevator parts database construction part, an elevator running parts remaining working life progress bar design part, and a data alarm and linkage control part.
  • the construction part of the elevator accessory database includes: an elevator accessory data collection module 1, a data storage module 2, an elevator accessory database 3, and the elevator accessory data collection module 1 completes big data such as frequency of use and duration of different accessories for different brands of elevators Collection.
  • the collection method is specifically: using the data experience of elevator accessory operation, accumulation of professional knowledge, user and designer evaluation of the target, and filtering out useful high-frequency data sets from the data collection to complete the data collection.
  • the collected data formulates standard rules for elevator accessory operation data, and uploads the data standard rules to the data storage module 2, establishes the elevator accessory database 3, and completes the construction of the big data platform.
  • the design part of the progress bar of the remaining working life of the elevator operating accessories of the present invention includes: a data storage module 2, a statistical analysis module 4, a human-computer interaction module 5, a frequency domain signal acquisition module 6, a time domain signal acquisition module 7, an elevator accessory operation database 13 .
  • the frequency-domain signal acquisition module 6 and the time-domain signal acquisition module 7 are responsible for signal detection of the operating frequency and operating parameters of the elevator accessories to be tested.
  • the specific process of detection is: detecting the operating frequency parameters of the elevator accessories through the vibration sensor, and passing the clock module Detect the length of time the elevator accessories are running.
  • the data storage module 2 saves the elevator accessory operation data, and completes the construction of the elevator accessory operation database 13.
  • the statistical analysis module 4 analyzes and statistics the real-time data of elevator operation, and then compares with the data standard rules in the elevator accessory database 3, and the operation data establishes a corresponding relationship with the data standard rules in the elevator accessory database, It can get the operation and usage degree of the corresponding elevator accessories, and finally the data obtained by the analysis is visually processed by the human-computer interaction module 5 to formulate the progress bar of the remaining working life of the operating accessories. Damage, until it finally fails and needs to be replaced, so the above process is visually converted into an animation with a continuously shortening progress bar for terminal display.
  • the present invention adopts a method that can reduce the detection time and improve the detection efficiency, that is, by dividing the elevator spare parts into the normal service life and average use frequency of the elevator spare parts, the elevator service parts with the normal service life and the use frequency are not much different Putting it into the same set, the unified detection is carried out by the detection and collection module, so as to avoid the technical difficulties and excessive investment in the cost that all elevator parts need to be tested.
  • the data alarm and linkage control part of the present invention includes: a statistical analysis module 4, a human-computer interaction module 5, an alarm data storage module 8, an alarm response module 9, a buzzer 10, a printer 11, a GPS signal device 12, and an alarm database 14.
  • a statistical analysis module 4 the target data source that reaches the alarm condition, that is, the progress bar of the remaining working life of the elevator parts will soon become 0. When the parts can still work normally, there is enough time to advance the elevator parts ready.
  • the alarm data will be transmitted to the alarm data storage module 8, the alarm database 14 will be established, after the alarm data is analyzed by the statistical analysis module 4, the fault information will be obtained, and the parsed fault information will be sent to all
  • the alarm response module 9 is used to drive the buzzer 10, and the information is also sent to the human-computer interaction module 5, the alarm information is converted into text and image information displayed on the terminal, and the faulty elevator Accessories provide as detailed and accurate positioning information as possible.
  • the present invention can output the alarm time details through the printer 11, and the GPS signal device 12 gives the terminal a specific location where the alarm event occurs, which is convenient for dispatching to the nearest maintenance point where the fault occurs.
  • the relevant data will be stored in the alarm data storage module 8 as historical alarm data, and then statistical analysis of the historical alarm data through the statistical analysis module 4 to predict each elevator in different areas
  • the replacement rate of accessories and the big data support provided for the prediction results can provide a reliable basis for the production and distribution of elevator spare parts.
  • Collect data on the usage frequency and service life data of elevator accessories of different types and brands (such as the number of door opening and closing of the elevator door, the number of buttons inside and outside the elevator, etc.), collect statistics on the average service life data of different elevator accessories, and put all
  • the data is uploaded to the data storage module and stored in the elevator accessories database.
  • the statistical analysis module performs statistical analysis on the data in the database to obtain the expected service life of different types of elevator accessories when not in use, and visualizes the service life of the elevator accessories through the data
  • the progress bar is visualized into a progress bar through the human-computer interaction interface, and a progress bar for predicting the operating life of elevator accessories is formulated. This progress bar will be shortened at different speeds according to the frequency of use of the accessory. When the progress bar is shortened to 0, the accessory will Failure.
  • the data on the running frequency and running time of the elevator parts that are normally used are detected, the elevator spare parts are classified by the normal service life and average use frequency of the elevator parts, and the elevator spare parts that have the same normal service life and use frequency are passed
  • the detection and collection module performs centralized detection to avoid the technical difficulties and excessive investment in the cost of detecting all elevator accessories. By collecting the operating frequency and operating time data of the elevator spare parts, the real-time operation of the elevator is collected The data is uploaded to the data storage module.
  • the current operating progress progress bar of the elevator parts is formulated, and the current use progress can be obtained as a percentage of the operating life forecast progress Elevator accessories will be able to work in progress during normal hours.
  • the data of each alarm time is stored in the alarm data storage module as historical alarm records, and then the historical alarm data is statistically analyzed by the statistical analysis module to predict the replacement rate of each elevator accessory in different areas.
  • the big data support provided can provide a reliable basis for the production and distribution of elevator spare parts.
  • the urban elevator spare parts storage control system based on big data drive provided by the present invention can support the prediction of different types of accessories by using the big data to construct a corresponding database as a support, and using relevant data collection, storage, analysis, and alarm modules to process the data.
  • Working life is conducive to the preparation of spare parts; predicting the remaining life of parts in operation, and terminal alarms for parts with insufficient life; providing detailed reports based on the alarm data, including data such as brand, type, quantity, and location of parts that need to be replaced.
  • the problem of insufficient spare parts or type and brand mismatch in urban elevators has improved work efficiency.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)

Abstract

一种基于大数据驱动的城市电梯备件存储控制系统，包括电梯配件数据库构建部分、电梯运行配件剩余工作寿命进度条设计部分和数据报警及联动控制部分，通过以大数据构建对应数据库作为支持，利用相关数据的采集、储存、分析、报警模块对数据进行处理，可达到预测不同种类的配件工作寿命，利于备件的准备工作；预测运行中配件剩余寿命，并对寿命不足的配件进行终端报警；根据报警数据提供详细报告，包括需更换配件的品牌、类型、数量、地点等数据，解决了城市电梯发生备件不足或者类型品牌不匹配的问题，提高了工作效率。

Description

一种基于大数据驱动的城市电梯备件存储控制系统 技术领域
本发明属于电梯控制的技术领域，尤其涉及一种基于大数据驱动的城市电梯备件存储控制系统。
背景技术
随着社会经济的发展，自动化技术的进步，越来越多的领域为了提高工作效率，都在积极的寻求各种技术手段以达到尽量减少设备故障时间。而在电梯相关技术领域中，因电梯在运行过程中不可避免的会出现因电梯配件失效而导致电梯故障的情况，加上电梯配件种类和电梯品牌繁多，一旦发生故障，电梯备件无法在短时间内获取，故障无法在短时间内解决，造成电梯停用较长时间，对工作效率造成较大影响。
从现有的技术来看，电梯配件的使用寿命和故障定位难度较大，基本上各个企业都未对电梯配件的使用频率和使用寿命进行跟踪预测，从而造成无法对电梯配件的损耗程度进行核实及评判。传统的电梯配件及元器件的使用质量和寿命往往是通过设备损坏维修数据的统计分析而得到的，无法对其在运行中的稳定性进行监控，造成突发电梯设备故障不易预测。电梯故障发生而造成的电梯配件更换也面临着许多问题，如电梯不同品牌、不同配件种类繁多，可能出现应急时城市区域范围内发生电梯备件不足或者类型品牌不匹配的问题。
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基于大数据驱动的城市电梯备件存储控制系统，可以对正在投入运行电梯配件的可继续正常工作时间长度进行预测，按照预测数据结果，对将要出现故障的电梯配件进行提前备件存储抽调准备。
为了解决上述技术问题，本发明通过以下技术方案来实现：本发明提供一种基于大数据驱动的城市电梯备件存储控制系统，包括：
电梯配件数据库构建部分，用于通过对电梯配件大数据的采集构建电梯配件数据库；
电梯运行配件剩余工作寿命进度条设计部分，用于通过数据信号采集模块完成对相应数据的采集，构建电梯配件运行数据库，并将运行数据与所述电梯配件数据库构建部分构建的数据库中的数据进行比对建立对应关系，将最终数据分析处理结果在终端给予电梯配件剩余工作寿命进度条显示；
数据报警及联动控制部分，用于上传数据至报警数据库，通过对数据进行分析后，触发对应报警执行装置。
作为上述技术方案的改进，所述电梯配件数据库构建部分包括：
电梯配件数据采集模块，用于完成对不同品牌电梯的不同配件使用频率和使用时长数据的采集；
数据储存模块，与所述梯配件数据采集模块连接，用于将所述采集到的数据进行保存；
电梯配件数据库，与所述数据储存模块连接，用于数据保存汇总完成大数据平台的搭建。
在本发明的一个实施例中，所述电梯运行配件剩余工作寿命进度条设计部分包括：
频域信号采集模块，与所述数据储存模块连接，用于通过振动传感器 检测电梯配件的运行频率参数；
时域信号采集模块，与所述数据储存模块连接，用于通过时钟模块检测电梯配件运行的时间长度；
电梯配件运行数据库，与所述数据储存模块连接，所述数据储存模块还用于将电梯配件的运行数据进行保存；
统计分析模块，与所述电梯配件运行数据库连接，用于对电梯配件运行实时数据进行统计，并与所述电梯配件数据库中的数据进行分析比对；
人机交互模块，与所述统计分析模块连接，用于对统计分析模块分析得到的数据进行可视化处理，制定运行配件剩余工作寿命进度条。
可选的，所述数据报警及联动控制部分包括：
报警数据存储模块，用于接收并储存触发报警信号的运行数据；
报警数据库，与所述报警数据存储模块连接；
报警响应模块，与所述统计分析模块连接，用于对报警触点作出联动控制，所述统计分析模块还用于对报警数据进行统计分析；
蜂鸣器，与所述报警响应模块连接，用于发出报警提示音。
进一步的，所述数据报警及联动控制部分还包括：
打印机，与所述人机交互模块连接，用于显示报警事件具体信息并打印输出详细报告；
GPS信号装置，与所述人机交互模块连接，用于显示报警事件发生的具体位置。
由上，本发明的基于大数据驱动的城市电梯备件存储控制系统通过对电梯配件大数据的采集构建电梯配件数据库，经对数据的统计分析后，建立电梯配件运行数据与寿命的关联关系，通过数据信号采集模块完成对相应数据的采集，构建电梯配件运行数据库，并将运行数据与构建的电梯配件数据库中数据进行比对建立对应关系，将最终数据分析处理结果于终端 给予电梯配件剩余工作寿命进度条显示，进度条将基于不同运行频率而以不同速率随着运行时间的上升而逐渐变短。对于运行中的电梯配件，若通过运行数据的检测，所制定的进度条缩短为0时，数据将被上传至报警数据库，通过对数据进行分析后，对应报警执行装置将被触发：蜂鸣器响应提示、打印机输出报警事件细则、GPS信号装置确定报警地点。本发明的控制系统通过对电梯配件运行数据的分析，可针对配件平均寿命较低的配件多进行备件的准备，同时电梯配件寿命进度条的提前预警使得维修人员可携带对应数据报告从就近维修点获取相对应的配件在较短时间内完成对电梯配件的更换，解决了城市电梯发生备件不足或者类型品牌不匹配的问题，提高了工作效率。
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。
附图说明
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为基于本发明的电梯配件在未使用时的寿命预测方法的流程图；
图2为基于本发明的电梯配件在投入使用后剩余使用寿命预测方法流程图；
图3为基于本发明的电梯配件在剩余使用寿命不足时的预警及分析方法流程图。
其中：1-电梯配件数据采集模块，2-数据储存模块，3-电梯配件数据库，4-统计分析模块，5-人机交互模块，6-频域信号采集模块，7-时域信号采集 模块，8-报警数据存储模块，9-报警响应模块，10-蜂鸣器，11-打印机，12-GPS信号装置，13-电梯配件运行数据库，14-报警数据库。
具体实施方式
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1-3所示，本发明的基于大数据驱动的城市电梯备件存储控制系统包括电梯配件数据库构建部分、电梯运行配件剩余工作寿命进度条设计部分和数据报警及联动控制部分。
所述电梯配件数据库构建部分包括：电梯配件数据采集模块1、数据储存模块2、电梯配件数据库3，所述电梯配件数据采集模块1完成对不同品牌电梯的不同配件使用频率和使用时长等大数据的采集。采集的方法具体为：利用电梯配件运行方面数据经验、专业知识积累、用户和设计者对目标的评估，以及从数据集合中筛选出有用高频数据组，来完成对数据的采集，将所述采集到的数据制定电梯配件运行数据标准规则，并将所述数据标准规则上传至所述数据储存模块2中，建立所述电梯配件数据库3，完成了大数据平台的搭建。
本发明的电梯运行配件剩余工作寿命进度条设计部分包括：数据储存模块2、统计分析模块4、人机交互模块5、频域信号采集模块6、时域信号采集模块7、电梯配件运行数据库13。所述频域信号采集模块6、时域信号采集模块7负责对待测电梯配件的运行频率和运行参数进行信号检测，检测的具体过程为：通过振动传感器检测电梯配件的运行频率参数，通过时钟模块检测电梯配件运行的时间长度，通过对两种信号进行结合可 以得出电梯配件在投入使用后至当前的总触发次数，后通过网络将所述传感器与数据平台相连，从而所采集的数据上传至所述数据储存模块2进行对电梯配件运行数据的保存，完成了对电梯配件运行数据库13的构建。通过所述统计分析模块4对电梯运行的实时数据进行分析统计，然后通过与所述电梯配件数据库3中数据标准规则进行比对，运行数据与所述电梯配件数据库中数据标准规则建立对应关系，可得出对应电梯配件的运行使用程度，最后将分析得到的数据通过所述人机交互模块5进行可视化处理，制定运行配件剩余工作寿命进度条，因电梯配件会随着电梯的运行而不断受损，直到最终失效而需要重新更换，故将上述过程形象化地转化为进度条不断缩短的动画进行终端显示。
进一步的，本发明采用可以减少检测时间，提高检测效率的方法，即通过对电梯配件正常使用寿命和平均使用频率对电梯备件划分集合，对所述正常使用寿命和使用频率相差不大的电梯备件归为同一集合，通过所述检测采集模块进行统一检测，避免需要所有电梯配件都进行检测而带来技术上的难题和成本上的过多投入。
本发明的数据报警及联动控制部分包括：统计分析模块4、人机交互模块5、报警数据存储模块8、报警响应模块9、蜂鸣器10、打印机11、GPS信号装置12、报警数据库14。通过所述统计分析模块4将达到报警条件的目标数据源，即电梯配件剩余工作寿命进度条即将变为0，当现在配件仍可以正常工作运行，留有充足的时间对所述电梯配件进行提前准备。此时报警数据将传输至所述报警数据存储模块8，建立所述报警数据库14，通过所述统计分析模块4对报警数据进行分析后，得出故障信息，将解析好的故障信息发送至所述报警响应模块9用于对所述蜂鸣器10进行驱动，同时信息也被发送至所述人机交互模块5，对报警信息转变为在终端显示的文字、图像信息，对发生故障的电梯配件提供尽可能详细准确的定位信 息。
进一步的，本发明通过所述打印机11可以对报警时间细则进行输出，所述GPS信号装置12在终端给予报警事件发生的具体地点，便于对故障发生地点的就近维修点进行派工。
进一步的，在报警事件发生过后，相关数据将作为报警历史数据存入所述报警数据存储模块8中，然后通过统计分析模块4对历史报警数据进行统计分析，预测出不同区域下的每个电梯配件的更换率，针对预测结果所提供的大数据支持可对电梯备件的生产及分配提供可靠的依据。
下面，参照图1至3并结合上述模块的描述，对本发明的基于大数据驱动的城市电梯备件存储控制系统工作原理进行简单描述：
对不同种类和品牌的电梯配件使用频率和使用寿命数据资料(比如电梯门机开关门次数、电梯内外按钮次数等)进行数据采集，通过对不同电梯配件平均使用寿命数据进行收集统计，并把所述数据上传至数据储存模块存入电梯配件数据库中，通过统计分析模块对数据库中数据进行统计分析，得到不同种类电梯配件在未使用时的预期使用寿命，并把电梯配件的使用寿命经过数据可视化处理后，通过人机交互界面形象化的变为进度条，制定电梯配件运行寿命预测进度条，此进度条会根据配件使用频率高低以不同速度缩短，当所述进度条缩短为0时配件将失效。
对正常使用的电梯配件进行运行频率和运行时长方面数据的检测，通过对电梯配件正常使用寿命和平均使用频率对电梯备件进行分类，对所述正常使用寿命和使用频率相差不大的电梯备件通过检测采集模块进行集中检测，避免对所有电梯配件都进行检测而带来技术上的难题和成本上的过多投入，通过采集所述电梯备件的运行频率和运行时长数据，并将所述运行实时数据上传至数据储存模块中。
通过检测到的实时数据与电梯配件数据库原有储存的数据通过统计分 析模块进行比对，制定当前正在运行的电梯配件运行寿命进度条，通过对当前使用进度占运行寿命预测进度的百分比可以得出电梯配件未来能够正常工作时间进度条。
当电梯某个配件即将失效时，实时数据将被发送至报警数据存储模块中进行储存，同时所述数据经统计分析模块进行分析后传输至报警响应模块和人机交互模块中，触发蜂鸣器工作，发出提示警报，并通过所述外界人机交互设备显示即将失效电梯备件的品牌和种类，同时生成对应报告通过打印机进行打印，并通过GPS信号装置对事件发生的地点进行定位，以方便进行电梯备件存储准备工作控制，一旦配件失效，维修人员就可携带对应报告从就近维修点获取相对应的配件在较短时间内完成对电梯配件的更换。
每次报警时间数据都被储存在报警数据存储模块中作为历史报警记录进行保存，后通过统计分析模块对历史报警数据进行统计分析，预测出不同区域下的每个电梯配件的更换率，针对预测结果所提供的大数据支持可对电梯备件的生产及分配提供可靠的依据。
本发明提供的基于大数据驱动的城市电梯备件存储控制系统，通过以大数据构建对应数据库作为支持，利用相关数据的采集、储存、分析、报警模块对数据进行处理，可达到预测不同种类的配件工作寿命，利于备件的准备工作；预测运行中配件剩余寿命，并对寿命不足的配件进行终端报警；根据报警数据提供详细报告，包括需更换配件的品牌、类型、数量、地点等数据，解决了城市电梯发生备件不足或者类型品牌不匹配的问题，提高了工作效率。
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 (5)

  1. 一种基于大数据驱动的城市电梯备件存储控制系统，其特征在于，包括：
    电梯配件数据库构建部分，用于通过对电梯配件大数据的采集构建电梯配件数据库；
    电梯运行配件剩余工作寿命进度条设计部分，用于通过数据信号采集模块完成对相应数据的采集，构建电梯配件运行数据库，并将运行数据与所述电梯配件数据库构建部分构建的数据库中的数据进行比对建立对应关系，将最终数据分析处理结果在终端给予电梯配件剩余工作寿命进度条显示；
    数据报警及联动控制部分，用于上传数据至报警数据库，通过对数据进行分析后，触发对应报警执行装置。
  2. 如权利要求1所述的基于大数据驱动的城市电梯备件存储控制系统，其特征在于，所述电梯配件数据库构建部分包括：
    电梯配件数据采集模块(1)，用于完成对不同品牌电梯的不同配件使用频率和使用时长数据的采集；
    数据储存模块(2)，与所述梯配件数据采集模块(1)连接，用于将所述采集到的数据进行保存；
    电梯配件数据库(3)，与所述数据储存模块(2)连接，用于数据保存汇总完成大数据平台的搭建。
  3. 如权利要求2所述的基于大数据驱动的城市电梯备件存储控制系统，其特征在于，所述电梯运行配件剩余工作寿命进度条设计部分包括：
    频域信号采集模块(6)，与所述数据储存模块(2)连接，用于通过振动传感器检测电梯配件的运行频率参数；
    时域信号采集模块(7)，与所述数据储存模块(2)连接，用于通过时钟模块检测电梯配件运行的时间长度；
    电梯配件运行数据库(13)，与所述数据储存模块(2)连接，所述数据储存模块(2)还用于将电梯配件的运行数据进行保存；
    统计分析模块(4)，与所述电梯配件运行数据库(13)连接，用于对电梯配件运行实时数据进行统计，并与所述电梯配件数据库(3)中的数据进行分析比对；
    人机交互模块(5)，与所述统计分析模块(4)连接，用于对统计分析模块(4)分析得到的数据进行可视化处理，制定运行配件剩余工作寿命进度条。
  4. 如权利要求3所述的基于大数据驱动的城市电梯备件存储控制系统，其特征在于，所述数据报警及联动控制部分包括：
    报警数据存储模块(8)，用于接收并储存触发报警信号的运行数据；
    报警数据库(14)，与所述报警数据存储模块(8)连接；
    报警响应模块(9)，与所述统计分析模块(4)连接，用于对报警触点作出联动控制，所述统计分析模块(4)还用于对报警数据进行统计分析；
    蜂鸣器(10)，与所述报警响应模块(9)连接，用于发出报警提示音。
  5. 如权利要求4所述的基于大数据驱动的城市电梯备件存储控制系统，其特征在于，所述数据报警及联动控制部分还包括：
    打印机(11)，与所述人机交互模块(5)连接，用于显示报警事件具体信息并打印输出详细报告；
    GPS信号装置(12)，与所述人机交互模块(5)连接，用于显示报警事件发生的具体位置。
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