WO2022193436A1 - 一种泵站智能检测系统 - Google Patents

一种泵站智能检测系统 Download PDF

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Publication number
WO2022193436A1
WO2022193436A1 PCT/CN2021/096135 CN2021096135W WO2022193436A1 WO 2022193436 A1 WO2022193436 A1 WO 2022193436A1 CN 2021096135 W CN2021096135 W CN 2021096135W WO 2022193436 A1 WO2022193436 A1 WO 2022193436A1
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Prior art keywords
module
unit
vibration
sensor
pump station
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PCT/CN2021/096135
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English (en)
French (fr)
Inventor
袁寿其
王文杰
裴吉
张猛
李彦军
龚小波
邓起凡
甘星城
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江苏大学
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Application filed by 江苏大学 filed Critical 江苏大学
Priority to CH000478/2022A priority Critical patent/CH718585B1/de
Publication of WO2022193436A1 publication Critical patent/WO2022193436A1/zh

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04D—NON-POSITIVE-DISPLACEMENT PUMPS
    • F04D15/00—Control, e.g. regulation, of pumps, pumping installations or systems
    • F04D15/0088—Testing machines
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
    • F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
    • F05D2270/00—Control
    • F05D2270/30—Control parameters, e.g. input parameters
    • F05D2270/334—Vibration measurements

Definitions

  • the invention relates to the technical field of intelligent monitoring systems, in particular to an intelligent detection system for a pumping station.
  • Pumping stations play an extremely important role in flood control, drainage, irrigation, water transfer, urban and rural water supply, industrial water supply, and shipping.
  • the pump station unit is the key equipment of the pump station, and the operation status of the pump station directly affects the safe operation of the pump station.
  • higher requirements are put forward for the repair, maintenance, operation and management of the pumping station unit.
  • the vibration of the pump station unit is easy to randomly occur in the components of each equipment of the unit. If the pumping station unit has very severe vibration, it will seriously affect the safe and stable operation of the pumping station unit.
  • the maintenance of pumping station units generally adopts post-event maintenance or regular maintenance. The former may cause secondary damage to the equipment, or even catastrophic accidents; the latter will lead to excess maintenance, which will lead to increased maintenance costs, resulting in artificial maintenance failures and accidents. Downtime can also cause damage to the pump station unit.
  • database can store and save a large amount of data information in a structured way, which is convenient for users to carry out effective retrieval and access, and can provide fast query; it can effectively maintain the consistency and integrity of data information, Reduce data redundancy. More importantly, the database can intelligently analyze historical data through data mining to provide users with important data information.
  • the intelligent running status monitoring of pumping station units can not only enable administrators or users to monitor the running status of equipment in real time, but also obtain accurate diagnosis before irreversible failure or shutdown occurs, thereby determining maintenance and maintenance time. , Improve the reliability of equipment operation and prolong the life of the equipment, and can also optimize the operation mode of the equipment, improve the operation efficiency and reduce the operation cost according to the actual situation or needs.
  • the purpose of the present invention is to provide an intelligent detection system for a pumping station, which is convenient for a pumping station administrator or user to optimize the operation mode of the equipment and improve the operation efficiency of the pumping station unit according to actual needs.
  • the present invention provides an intelligent detection system for a pumping station, comprising:
  • the pump station unit is connected with the sensor, the data acquisition card and the upper computer;
  • the upper computer is connected with the sensor and the data acquisition card.
  • the host computer includes a user interface security login module connected in sequence, a parallel selection pumping station monitoring unit module, a pumping station unit operating state parameter time-frequency domain analysis module, a real-time data collection database module, a unit operating state push module, and Fault warning module;
  • the parallel selection pump station monitoring unit module is connected with the pump station unit;
  • the time-frequency domain analysis module of the operating state parameters of the pump station unit, the real-time writing of the collected data to the database module, the unit operating state push module and the fault warning module are connected to the sensor and the data acquisition card.
  • the senor includes an acceleration sensor, a velocity vibration sensor and a displacement vibration sensor;
  • the sensor is used to detect the operating state parameters of the pump station operating unit.
  • the operating state parameters of the pump station unit include:
  • the data acquisition card adopts NI USB-6211 data acquisition card, and the sampling frequency is 250KS/s;
  • the time-frequency domain analysis module of the operating state parameters of the pumping station performs time-frequency domain analysis on vibration signals collected from multiple monitoring points based on the sensor to obtain peak-to-peak values, and performs frequency domain analysis to obtain main frequency characteristics.
  • the real-time writing of the collected data to the database module writes the vibration signals collected by the sensor for multiple monitoring points into the database in real-time, so as to generate measurement reports of various file types.
  • the unit operating state push module communicates through the enterprise WeChat API interface of LabVIEW, and adopts the enterprise WeChat group robot and the enterprise WeChat application to perform real-time intelligent push of the vibration monitoring data.
  • the fault warning module obtains the vibration data corresponding to different faults of the unit, and uses the learning function of the neural network to perform testing and training to obtain the vibration signal interval corresponding to the different faults of the pumping station unit, and calculates the vibration signal interval corresponding to the different faults of the pumping station unit.
  • the fault is displayed in real time and reminded.
  • the present invention fully considers that most of the faults of the pumping station unit can be reflected by the vibration signal, but it is difficult for the technician to find the essential problem of the fault by simple judgment or common means, so the present invention sets the vibration monitoring point of the unit by setting the unit. Real-time monitoring of the operating status of the pumping station unit, timely detection of abnormalities or hidden dangers in the operation of the unit, further analysis of the root cause of the failure and implementation of corresponding treatment, and then write the failure of the unit into the database for record, thereby minimizing the occurrence of failures. losses;
  • the present invention fully considers that common laboratory test reports cannot effectively manage experimental data parameters for a long time, resulting in mixed data, difficulty in querying, and safety cannot be guaranteed, and cannot realize real-time sharing of data with other monitoring platforms, so the present invention Execute the SQL statement through LabVIEW programming, write the important state parameters of the pumping station unit into the database in real time, and provide the three-dimensional display diagram of the pumping station unit to the administrator or user for reference.
  • the database can not only store and save a large amount of operating status information of pumping station units in a structured manner, which is convenient for users to retrieve and access effectively; it can also effectively maintain the consistency and integrity of data information and reduce data redundancy;
  • the present invention fully considers the influence of vibration characteristics on the operation failure of pumping station units, collects the vibration time domain graph on the monitoring point in real time, obtains the vibration spectrum through FFT transformation, and further extracts the peak-to-peak value and frequency domain in the time domain graph.
  • the main frequencies in the figure and finally generate measurement reports of various file types such as Excel files, TXT files, Word files, pictures, and HTML files, and provide them to administrators or users for analysis;
  • the present invention fully considers that administrators or users cannot always monitor the running state of the unit, and WeChat is the mainstream channel for information transmission at present, and users can obtain required information and data through WeChat anytime, anywhere. Therefore, the present invention abandons the traditional communication methods such as short messages and emails, calls the Python language through LabVIEW programming, and then calls the API interface of the enterprise WeChat through the Python language, thereby realizing the real-time push of the operation of the pump station unit to the administrator or user through the enterprise WeChat. state.
  • FIG. 2 is a schematic diagram of the work flow of the system of the present invention.
  • the present invention provides an intelligent detection system for a pumping station, comprising:
  • the pump station unit is connected with the sensor, data acquisition card and the host computer;
  • the upper computer is connected with the sensor and the data acquisition card.
  • the upper computer includes a user interface security login module connected in sequence, a parallel selection pump station monitoring unit module, a pump station unit operating state parameter time-frequency domain analysis module, a real-time writing database module for collected data, a unit operating status push module, and fault early warning. module;
  • the time-frequency domain analysis module of the operating state parameters of the pump station unit, the real-time writing of the collected data to the database module, the unit operating state push module and the fault warning module are connected to the sensor and the data acquisition card.
  • the user interface security login subroutine can ensure the security of the system. Before the user accesses the LabVIEW front panel VI, the user needs to log in with authentication, and the account and password must be correct to access. For the sake of humanization, new user registration and password modification functions are also designed.
  • the unit number of the pumping station to be monitored can be selected through the front panel VI.
  • the present invention provides the parallel monitoring function of the unit.
  • the administrator or user can select one or more of the pumping station detection unit modules in parallel.
  • the unit is monitored in real time.
  • the sensor in this embodiment includes an acceleration sensor, a velocity vibration sensor, and a displacement vibration sensor, and the time-domain vibration characteristics of the monitoring points of the unit can be acquired as required.
  • the detection points selected in this embodiment include the impeller housing of the pump station unit, the guide vane housing, the motor upper frame and the coupling, and the sensor parameter configuration includes the impeller housing, the guide vane housing, the motor upper frame and the coupling
  • the upper limit of the vibration speed in the X, Y, and Z directions of the device is set, and the operating state of the pumping station unit is detected by the sensor, including flow rate, impeller placement angle, head, the vibration speed of the impeller housing in the X direction, and the vibration of the impeller housing in the Y direction.
  • the data acquisition card adopts NI USB-6211 data acquisition card, and the sampling frequency is up to 250KS/s.
  • the acquisition card provides 16 channels of AI for analog signal acquisition input.
  • the parameter configuration of the acquisition card mainly includes the selection of physical channels, the setting of sampling rate, sampling number and interval time.
  • the sampling rate of the acquisition card is set to 1000, the sampling number is 4000, and the interval time is 1800s; the vibration speed of the impeller, the guide vane casing and the upper frame of the motor in the three directions of X, Y, and Z is set.
  • the upper limit is 100,000, and the upper limit of the vibration speed in the X and Y directions of the coupling is 100,000.
  • the present invention provides a three-dimensional display of the monitored pumping station unit, real-time monitoring of the flow, head, and rotational speed under operating conditions, and finally displays the unit's operating state on the front panel VI in real time, such as "2020-11-27 14:41: 44 Unit 8 is operating normally".
  • the time-frequency domain analysis module of the pump station machine operating state parameters of the host computer performs time-frequency domain analysis on the vibration signals collected by multiple monitoring points by collecting sensors to obtain peak-to-peak values, and performs frequency domain analysis to obtain main frequency characteristics.
  • the present invention displays the vibration time-domain diagram at each monitoring point on the front panel VI in real time, and then uses FFT transformation to obtain the frequency-domain diagram of the vibration signal, and then generates a three-dimensional frequency-domain waterfall diagram, and extracts the frequency-domain diagram of each monitoring point. Peak size, sort its main frequency to get the main frequency sorting table.
  • the collected data is written into the database in real time.
  • the module writes the vibration signals collected by the sensor from multiple monitoring points into the database in real time, and then generates measurement reports of various file types such as Excel files, TXT files, Word files and HTML files.
  • the administrator or user can also Historical data can be queried, modified, filtered and deleted.
  • the ADC module of the acquisition card converts the analog quantity of the unit status parameter into digital quantity, and then transmits it to the LabVIEW front panel of the upper computer through the USB interface for real-time display.
  • the database management software Navicat configures the operation of the pumping station unit through parameter settings.
  • the required database is created and the measurement report is created under the database.
  • the computer successfully connects to the Navicat database by configuring the ODBC data source.
  • the LabVIEW rear panel calls the LabSQL toolkit and executes the SQL statement, so that the collected data can be written into the database in real time, and the historical collected data can be processed. Inquiries and modifications.
  • the unit operation status push module abandons the traditional communication methods such as SMS and email, and uses LabVIEW to call the Python language enterprise WeChat API interface for communication. Enterprise WeChat group robots and enterprise WeChat applications can be used to realize real-time intelligent push of vibration monitoring data.
  • the present invention judges the running state of the pumping station unit through vibration signals.
  • Common faults of the pumping station unit include unbalanced rotor parts, bending or deformation of the shaft, loose or damaged parts, loose foundation and the like.
  • the fault early warning module is aimed at most of the current monitoring systems that can only judge the failure of the unit, but cannot accurately determine what kind of fault it is. It collects the vibration data corresponding to different faults of the unit, and uses the learning function of the neural network to test and train the result. The vibration signal interval corresponding to different faults of the pumping station unit.
  • the vibration signal of the pumping station unit deviates from the vibration range obtained by the acceleration sensor during stable operation, and the fault warning module will automatically match the current vibration signal to the vibration of the fault. In this way, the fault of the pumping station unit can be displayed in real time and a rapid alarm sound will be issued to prompt the administrator or user.

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

一种泵站智能检测系统，包括：泵站机组、传感器、数据采集卡及上位机；泵站机组与传感器、数据采集卡及上位机连接；上位机与传感器及数据采集卡连接。其中，上位机包括依次连接的用户界面安全登录模块、并行选择泵站监测机组模块、泵站机组运行状态参数时频域分析模块、采集数据实时写入数据库模块、机组运行状态推送模块以及故障预警模块；并行选择泵站监测机组模块与泵站机组连接；泵站机组运行状态参数时频域分析模块、采集数据实时写入数据库模块、机组运行状态推送模块及故障预警模块与传感器及数据采集卡连接。由此能够方便泵站管理员或用户根据实际需要，优化设备运行方式、提高泵站机组运行效率。

Description

一种泵站智能检测系统 技术领域
本发明涉及智能化监测系统技术领域，具体涉及一种泵站智能检测系统。
背景技术
泵站在抗洪、排涝、灌溉、调水以及城乡供水、工业供水、航运方面发挥着极为重要的作用。随着我国经济的飞速发展，各个地方的许多大、中型泵站都投入实际生产运行，管理者们对泵站的可靠性、安全性、经济性的要求也越来越高。而泵站机组是泵站的关键设备，泵站的运行状态直接影响泵站的安全运行。同时，随着泵站机组容量的不断增大，对泵站机组的检修、维护、运行、管理提出了更高的要求。
泵站机组的振动在机组各个设备的组成部分中都很容易随机发生。若泵站机组出现非常剧烈的振动情况，将会严重影响泵站机组的安全稳定运行。泵站机组的检修一般采取事后维修或者定期维修，前者可能引起设备的二次损坏，甚至灾难性事故；后者会导致过剩维修，过剩维修则会导致维修费用增加，引起人为维修故障，而且意外停机也会引起泵站机组的损坏。
研究表明，泵站机组的振动特性可以体现绝大部分的机组故障。由于引起泵站机组振动的因素颇多，且泵站机组出现故障通常和自身的运行状态有关。泵站机组的运行状态监测是一个繁杂的过程，采用 传统的人工测试和分析方法，费时费力，劳动强度大，其监测效率和精度都较低。
由于泵站机组集成度高、分布范围广，目前新建泵站机组缺少有经验的运行管理人员，而日趋复杂的泵站机组结构也给机组状态监测及故障诊断的有效实施造成了一定的困难。因此实施对泵站机组运行状况的状态监测和故障诊断，提高泵站机组实时运行的稳定性和可靠性，设计基于计算机的泵站运行状态监测系统成为各水泵研制和生产单位的首选。
在泵站机组运行状态参数的存储及管理方面，由于普遍采用文件管理方式，即生成固定格式的测试报表，虽然能够实时记录泵的运行状态参数，但不能有效的管理长期实验数据参数，继而形成数据混杂、查询困难、安全不能得到保障，无法实现与其他监测平台的数据实时共享。良好的实验数据管理是水泵生产厂家要设计泵站运行监测系统的基本保障。
数据库作为大数据时代的新生产物，可以结构化存储和保存大量的数据信息，方便用户进行有效的检索和访问，并且能够提供快速的查询；可以有效地保持数据信息的一致性、完整性，降低数据冗余。更为重要的是，数据库能够通过数据挖掘智能化地分析历史数据，为用户提供重要的数据信息。
随着人工智能的出现，泵站机组的智能化运行状态监测不仅可以使管理员或用户实时监控设备的运行状态，在其发生不可逆的故障或停机之前得到准确的诊断、从而确定维护和保养时间、提高设备运行 可靠性并延长设备寿命，而且还可根据实际情况或需要，优化设备运行方式、提高运行效率、降低运营成本。
发明内容
本发明的目的是提供一种泵站智能检测系统，方便泵站管理员或用户根据实际需要，优化设备运行方式，提高泵站机组运行效率。
为实现上述目的，本发明提供了如下方案：本发明提供一种泵站智能检测系统，包括：
泵站机组、传感器、数据采集卡及上位机；
所述泵站机组与所述传感器、所述数据采集卡及所述上位机连接；
所述上位机与所述传感器及所述数据采集卡连接。
其中，所述上位机包括依次连接的用户界面安全登录模块、并行选择泵站监测机组模块、泵站机组运行状态参数时频域分析模块、采集数据实时写入数据库模块、机组运行状态推送模块以及故障预警模块；
所述并行选择泵站监测机组模块与所述泵站机组连接；
所述泵站机组运行状态参数时频域分析模块、所述采集数据实时写入数据库模块、所述机组运行状态推送模块及所述故障预警模块与所述传感器及所述数据采集卡连接。
优选地，所述传感器包括加速度传感器、速度振动传感器和位移振动传感器；
所述传感器用于对泵站运行机组运行状态参数进行检测。
优选地，所述泵站机组运行状态参数包括：
流量、叶轮安放角、扬程、叶轮壳体X方向振动速度、叶轮壳体Y方向振动速度、叶轮壳体Z方向振动速度、导叶壳体X方向振动速度、导叶壳体Y方向振动速度、导叶壳体Z方向振动速度、电机上机架X方向振动速度、电机上机架Y方向振动速度、电机上机架Z方向振动速度、联轴器X方向振动位移、联轴器Y方向振动位移、联轴器Z方向振动位移。
优选地，所述数据采集卡采用NI USB-6211数据采集卡，采样频率为250KS/s；
优选地，所述泵站机运行状态参数时频域分析模块基于所述传感器对多个监测点收集的振动信号进行时频域分析获得峰峰值，进行频域分析获得主要频率特征。
优选地，所述采集数据实时写入数据库模块将所述传感器对多个监测点收集的振动信号实时写入数据库，生成多种文件类型的测量报表。
优选地，所述机组运行状态推送模块通过LabVIEW的企业微信API接口进行通讯，并采用企业微信群机器人和企业微信应用进行振动监测数据的实时智能推送。
优选地，所述故障预警模块通过获取机组不同故障所对应的振动数据，并利用神经网络的学习功能进行测试训练后得出泵站机组不同 故障所对应的振动信号区间，并将泵站机组的故障实时显示并进行提醒。
本发明公开了以下技术效果：
(1)本发明充分考虑到泵站机组的大多数故障都可以通过振动信号得以反映，但技术人员简单的判断或常见的手段很难找到故障的本质问题，故本发明通过设置机组振动监测点实时监测泵站机组运行状态，及时发现机组运行过程中存在的异常或隐患，进一步分析引起故障的根本原因并实施相应处理，再将机组出现的故障写入数据库备案，从而最大限度减少因发生故障带来的损失；
(2)本发明充分考虑到普通的实验室测试报表不能长期有效的管理实验数据参数，继而形成数据混杂、查询困难、安全不能得到保障，无法实现与其他监测平台的数据实时共享，故本发明通过LabVIEW编程执行SQL语句，对泵站机组运行的重要状态参数实时写入数据库，并将泵站机组的三维显示图提供给管理员或用户进行参考。数据库不但可以结构化存储和保存大量的泵站机组运行状态信息，方便用户进行有效的检索和访问；还可以有效地保持数据信息的一致性、完整性，降低数据冗余；
(3)本发明充分考虑到振动特性对泵站机组运行故障的影响，实时采集监测点上的振动时域图，再通过FFT变换得到振动频谱，进一步提取时域图中的峰峰值和频域图中主要频率，最后生成Excel文件、TXT文件、Word文件、图片以及HTML文件等多种文件类型的测量报表，提供给管理员或用户进行分析；
(4)本发明充分考虑到管理员或用户不能一直蹲守监测机组运行状态，而微信是当下信息传输的主流途径，用户可随时随地通过微信获取所需信息和数据。故本发明摒弃了传统的短信、邮件等通讯方式，通过LabVIEW编程调用Python语言，再通过Python语言调用企业微信的API接口，从而实现了通过企业微信实时向管理员或用户推送泵站机组的运行状态。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本发明系统结构示意图；
图2为本发明系统工作流程示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
为使本发明的上述目的、特征和优点能够更加明显易懂，下面结 合附图和具体实施方式对本发明作进一步详细的说明。
如图1及图2所示，本发明提供一种泵站智能检测系统，包括：
泵站机组、传感器、数据采集卡及上位机；
泵站机组与传感器、数据采集卡及上位机连接；
上位机与传感器及数据采集卡连接。
其中，上位机包括依次连接的用户界面安全登录模块、并行选择泵站监测机组模块、泵站机组运行状态参数时频域分析模块、采集数据实时写入数据库模块、机组运行状态推送模块以及故障预警模块；
并行选择泵站监测机组模块与泵站机组连接；
泵站机组运行状态参数时频域分析模块、采集数据实时写入数据库模块、机组运行状态推送模块及故障预警模块与传感器及数据采集卡连接。
管理员或用户在访问泵站智能监测系统需要进行身份验证登录，必须是账号密码均正确才能进行访问。用户界面安全登录子程序可保证系统的安全性，在用户访问LabVIEW前面板VI之前需要进行身份验证登录，必须是账号密码均正确才能进行访问。出于人性化考虑，还设计了新用户注册以及密码修改功能。
管理员或用户成功登录系统后，即可通过前面板VI选择所要监测的泵站机组号，本发明提供机组并行监测功能，管理员或用户通过并行选择泵站检测机组模块可选择一个或多个机组进行实时监测。
管理员或用户选择好所要监测的机组号后，需要进行采集卡和传 感器的必要参数配置。
本实施例的传感器包括加速度传感器、速度振动传感器和位移振动传感器，可根据需要获取机组监测点的振动时域特性。
本实施例选取的检测点包括泵站机组叶轮壳体、导叶壳体、电机上机架和联轴器，其传感器参数配置包括叶轮壳体、导叶壳体、电机上机架和联轴器X、Y、Z方向上振动速度上限的设定，通过传感器对泵站机组运行状态进行检测，具体包括流量、叶轮安放角、扬程、叶轮壳体X方向振动速度、叶轮壳体Y方向振动速度、叶轮壳体Z方向振动速度、导叶壳体X方向振动速度、导叶壳体Y方向振动速度、导叶壳体Z方向振动速度、电机上机架X方向振动速度、电机上机架Y方向振动速度、电机上机架Z方向振动速度、联轴器X方向振动位移、联轴器Y方向振动位移、联轴器Z方向振动位移等。
数据采集卡采用NI USB-6211数据采集卡，采样频率高达250KS/s。该采集卡提供16路AI进行模拟信号的采集输入。
采集卡参数配置主要有物理通道的选择，采样率、采样数和间隔时间的设定。本实施例装置的设定采集卡的采样率为1000，采样数为4000，间隔时间为1800s；设定叶轮、导叶壳体和电机上机架X、Y、Z三个方向上的振动速度上限为100000，联轴器X、Y两个方向上的振动速度上限为100000。本发明提供所监测泵站机组的三维显示，实时监测运行工况下的流量、扬程和转速等，最后将机组的运行状态在前面板VI上实时显示，如“2020-11-2714:41:44 8号机组运行正常”。
上位机的泵站机运行状态参数时频域分析模块通过收集传感器对多个监测点收集的振动信号进行时频域分析获得峰峰值，进行频域分析获得主要频率特征。本发明将各个监测点处的振动时域图实时显示在前面板VI上，再采用FFT变换得到振动信号的频域图，进而生成三维频域瀑布图，并提取各个监测点频域图中的峰值大小，对其主要频率进行大小排序得到主频排序表。
采集数据实时写入数据库模块将传感器对多个监测点收集的振动信号实时写入数据库，进而生成Excel文件、TXT文件、Word文件以及HTML文件等多种文件类型的测量报表，管理员或用户还可对历史数据进行查询、修改、筛选和删除。泵站机组运行时，采集卡的ADC模块将机组状态参数模拟量转换为数字量后经USB接口传送至上位机的LabVIEW前面板实时显示，数据库管理软件Navicat通过参数设置配置好泵站机组运行所需的数据库并在数据库下创建测量报表，计算机通过配置ODBC数据源成功连接Navicat数据库，LabVIEW后面板调用LabSQL工具包并执行SQL语句，从而实现采集数据实时写入数据库、并能对历史采集数据进行查询和修改。
机组运行状态推送模块摒弃了传统的短信、邮件等通讯方式，通过LabVIEW调用Python语言的企业微信API接口进行通讯，可采用企业微信群机器人和企业微信应用实现振动监测数据的实时智能推送。
本发明通过振动信号判断泵站机组的运行状态，泵站机组常见的故障有转子部件不平衡、轴发生弯曲或变形、零部件松动或损坏、基 座松动等。故障预警模块针对目前大多监测系统只能判断机组产生故障，而不能准确判断是何种故障等问题，通过采集机组不同故障所对应的振动数据，并利用神经网络的学习功能进行测试训练后得出泵站机组不同故障所对应的振动信号区间。当上位机的泵站机组运行状态参数时频域分析模块监测到泵站机组的振动信号偏离其稳定运行时加速度传感器获得的振动区间范围，故障预警模块便将当前的振动信号自动匹配故障所属振动区间，从而将泵站机组的故障实时显示并发出急促的报警声提示管理员或用户。
以上所述的实施例仅是对本发明优选方式进行的描述，并非对本发明的范围进行限定，在不脱离本发明设计精神的前提下，本领域普通技术人员对本发明的技术方案做出的各种变形和改进，均应落入本发明权利要求书确定的保护范围内。

Claims (8)

  1. 一种泵站智能检测系统，其特征在于，包括：
    泵站机组、传感器、数据采集卡及上位机；
    所述泵站机组与所述传感器、所述数据采集卡及所述上位机连接；
    所述上位机与所述传感器及所述数据采集卡连接；
    其中，所述上位机包括依次连接的用户界面安全登录模块、并行选择泵站监测机组模块、泵站机组运行状态参数时频域分析模块、采集数据实时写入数据库模块、机组运行状态推送模块以及故障预警模块；
    所述并行选择泵站监测机组模块与所述泵站机组连接；
    所述泵站机组运行状态参数时频域分析模块、所述采集数据实时写入数据库模块、所述机组运行状态推送模块及所述故障预警模块与所述传感器及所述数据采集卡连接。
  2. 根据权利要求1所述的泵站智能检测系统，其特征在于，所述传感器包括加速度传感器、速度振动传感器和位移振动传感器；
    所述传感器用于对泵站运行机组运行状态参数进行检测。
  3. 根据权利要求2所述的泵站智能检测系统，其特征在于，所述泵站机组运行状态参数包括：
    流量、叶轮安放角、扬程、叶轮壳体X方向振动速度、叶轮壳体Y方向振动速度、叶轮壳体Z方向振动速度、导叶壳体X方向振动速度、导叶壳体Y方向振动速度、导叶壳体Z方向振动速度、电机上机 架X方向振动速度、电机上机架Y方向振动速度、电机上机架Z方向振动速度、联轴器X方向振动位移、联轴器Y方向振动位移、联轴器Z方向振动位移。
  4. 根据权利要求1所述的泵站智能检测系统，其特征在于，所述数据采集卡采用NI USB-6211数据采集卡，采样频率为250KS/s；
    所述数据采集卡提供16路AI进行模拟信号的采集输入。
  5. 根据权利要求1所述的泵站智能检测系统，其特征在于，所述泵站机运行状态参数时频域分析模块基于所述传感器对多个监测点收集的振动信号进行时频域分析获得峰峰值，进行频域分析获得主要频率特征。
  6. 根据权利要求1所述的泵站智能检测系统，其特征在于，所述采集数据实时写入数据库模块将所述传感器对多个监测点收集的振动信号实时写入数据库，生成多种文件类型的测量报表。
  7. 根据权利要求1所述的泵站智能检测系统，其特征在于，所述机组运行状态推送模块通过LabVIEW的企业微信API接口进行通讯，并采用企业微信群机器人和企业微信应用进行振动监测数据的实时智能推送。
  8. 根据权利要求1所述的泵站智能检测系统，其特征在于，所述故障预警模块通过获取机组不同故障所对应的振动数据，并利用神经网络的学习功能进行测试训练后得出泵站机组不同故障所对应的振动信号区间，并将泵站机组的故障实时显示并进行提醒。
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