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CN114636438A - Drilling machine online monitoring system based on AR - Google Patents

Drilling machine online monitoring system based on AR Download PDF

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Publication number
CN114636438A
CN114636438A CN202210085198.2A CN202210085198A CN114636438A CN 114636438 A CN114636438 A CN 114636438A CN 202210085198 A CN202210085198 A CN 202210085198A CN 114636438 A CN114636438 A CN 114636438A
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China
Prior art keywords
data
equipment
online monitoring
drilling machine
parameters
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Pending
Application number
CN202210085198.2A
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Chinese (zh)
Inventor
阳誉乾
李杨
李耀翔
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Sichuan Honghua Electric Co ltd
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Sichuan Honghua Electric Co ltd
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Priority to CN202210085198.2A priority Critical patent/CN114636438A/en
Publication of CN114636438A publication Critical patent/CN114636438A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING 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
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

The invention discloses a drilling machine on-line monitoring method and a drilling machine on-line monitoring system based on AR, wherein the drilling machine on-line monitoring method comprises the following steps: s1: installing an online monitoring system Server in a VFD room cabinet, collecting PLC data of a system main station and storing the PLC data in a database; s2: a system master station PLC acquires parameter data; s3: the online monitoring server receives the parameter data and sends the parameter data to the cloud server; s4: the user side monitors well site data in real time, inquires historical data and automatically receives equipment maintenance early warning information. The invention adopts the B/S framework, can realize cloud deployment, and monitors data in real time in each place; meanwhile, the AR mobile terminal can be used for identifying from various angles of the equipment, and the speed can reach millisecond level; by adopting a digital twin technology, important parameters and states of the equipment can be checked after the equipment is identified.

Description

Drilling machine on-line monitoring system based on AR
Technical Field
The invention relates to the technical field of drilling machine monitoring, in particular to an AR-based drilling machine online monitoring method and system.
Background
The drilling process of a drilling machine is very complicated, and in the process, the working environment of the drilling machine is usually very severe, so that the failure is frequent. Once the drilling machine fails, the whole drilling process is affected, and a great economic loss is caused. At present, the judgment of the operation state of the drilling machine mainly depends on the experience of technicians or on-line data acquisition and then off-line analysis and judgment, so that the time lag is large, the anti-interference performance and the stability are poor, and the working state of the drilling machine cannot be truly reflected.
The utility model discloses a petroleum drilling machine on-line monitoring and failure diagnosis service platform has been proposed in utility model patent application with application number CN202021187718.3, wherein mention: petroleum drilling machine products are used in remote occasions, inconvenient communication, difficult transportation and frequent moving occasions in the field all year around. In the drilling operation process, daily cost is high, the critical equipment is not allowed to be in fault shutdown, and once the critical equipment is in fault shutdown, the engineering well can be scrapped, so that great economic loss is brought; in addition, when the equipment works, personnel are on duty at each station, and once the equipment is in fault, the personnel can be injured. Therefore, how to early warn equipment failure in advance, correctly use and maintain the equipment, monitor the service condition of the wearing parts in advance and supplement spare parts in time is very important. Furthermore, due to the inability of equipment manufacturers to track equipment being sold in real time, their experience and advantages in use, maintenance, troubleshooting, etc. cannot be readily applied to the rig job site.
The online monitoring system of the drilling machine can realize real-time acquisition of equipment data and analysis of equipment operation conditions of multiple manufacturers of the drilling machine, provide analysis of failure rate and failure characteristics of the whole machine and parts, guide field maintenance personnel to timely and accurately diagnose equipment failures, shorten failure diagnosis elimination time to the greatest extent, reduce equipment maintenance cost of oil and gas service companies, and simultaneously generate scientific statistical data of the system, so that experts can perform technical evaluation, the statistical data are used for improving management quality, reducing after-sales service cost and converting the data into market advantages, and high efficiency and low cost expansion of enterprise market scale are realized.
Because well site equipment is more, and the field personnel do not have fixed control place, do not have fixed control environment, can not look over the operation data of equipment, dimension guarantor information in real time at the scene, and need the professional to look over the back just can give professional expert's suggestion to the scene, and well site intelligent level is lower, and equipment maintenance can consume a large amount of manpower and materials.
Disclosure of Invention
Based on the technical scheme, the invention aims to solve the technical problems that because the well site has more equipment, field personnel have no fixed monitoring place and no fixed monitoring environment, and the operation data and maintenance information of the equipment cannot be checked in real time on the field.
In order to achieve the purpose, the invention provides an AR-based drilling machine online monitoring method, which comprises the following steps of:
s1: installing an online monitoring system Server in a VFD room cabinet, collecting PLC data of a system main station and storing the PLC data in a database;
s2: a system master station PLC acquires parameter data;
s3: the online monitoring server receives the parameter data and sends the parameter data to the cloud server;
s4: and the user side monitors well site data in real time, inquires historical data and automatically receives equipment maintenance early warning information.
Further, the S2 further includes the following sub-steps:
s21: data acquisition of drilling equipment: collecting parameters of each device of the drilling machine;
s22: and transmitting and storing the drilling machine equipment data collected in the S21, and simultaneously performing data backup.
Further, each of the drilling apparatuses in S21 includes: generator, slush pump, winch, top drive, carousel, machines.
Further, the parameters in S21 include: motion parameters, state parameters, and performance indicators.
Further, the S3 further includes the following sub-steps:
s31: and carrying out statistics and analysis on the data to realize real-time monitoring on the maintenance state of the equipment.
Further, the step of performing statistics and analysis on the data in S31 includes: and counting and analyzing the running state and the fault of the drilling machine.
An AR-based rig online monitoring system, comprising: data acquisition subsystem, data transmission subsystem, data processing subsystem and equipment management subsystem, wherein:
the data acquisition subsystem: collecting parameters of each device of the drilling machine, wherein the parameters comprise motion parameters, state parameters and performance parameters;
the data transmission subsystem: sending the parameters acquired by the data acquisition subsystem to the data processing subsystem;
the data processing subsystem: receiving parameter data uploaded by a data transmission subsystem, and performing statistical analysis on the parameter data;
the equipment management subsystem: the equipment is subjected to information management, the maintenance state of the equipment is detected, the automatic alarm of equipment faults is realized, and the running state of the equipment is checked in real time.
The beneficial effect of this application:
1. data of multiple manufacturers can be collected simultaneously; the tcp protocol is adopted for communication, data are collected in real time, and data are not lost; the modular data interface is compatible with PLC equipment of different manufacturers.
2. The page adopts the html5 technology, not only adapts to browsers of different manufacturers at the PC end, but also adapts to a tablet and mobile end equipment, and really realizes full compatibility of the equipment.
3. The automatic calculation and analysis of the equipment maintenance information can automatically remind the maintenance information of the equipment, and professional and intelligent expert suggestions are given through the big data analysis of the expert database and are pushed to different terminals.
4. And by adopting a B/S framework, cloud deployment can be realized, and data can be monitored in real time in each place.
Application of AR technology, freeing both hands of inspection and maintenance personnel. The AR equipment can accurately check the equipment information and the maintenance information anytime and anywhere, and the intelligent level of a well site is improved.
6. The AR mobile terminal can be used for identifying from various angles of equipment, and the speed can reach millisecond level; by adopting a digital twin technology, important parameters and states of the equipment can be checked after the equipment is identified.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the structures of the drawings without creative efforts.
FIG. 1 is a schematic overall flow diagram of the present invention;
FIG. 2 is a detailed flow chart of the system master station PLC for obtaining parameter data;
FIG. 3 is a schematic diagram of the connection structure of the system;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, embodiments of the present invention will now be described with reference to the accompanying drawings.
As shown in fig. 1 to 3, in the present embodiment, the present invention provides an on-line monitoring method for an AR-based drilling machine, which includes the following steps:
s1: installing an online monitoring system Server in a VFD room cabinet, collecting PLC data of a system main station and storing the PLC data in a database;
s2: a system master station PLC acquires parameter data;
s3: the online monitoring server receives the parameter data and sends the parameter data to the cloud server;
s4: and the user side monitors well site data in real time, inquires historical data and automatically receives equipment maintenance early warning information.
Specifically, the technology is developed to aim at:
and a complete independent hardware solution is formed, and the problem of data channel of the sensor layer is solved.
And developing a set of online monitoring system with a B/S framework for monitoring the drilling data in real time.
Researching maintenance rules, refining maintenance algorithms and developing a set of automatic maintenance information system.
4. The terminal data presentation method based on the AR is researched, the equipment maintenance difficulty is reduced, the equipment maintenance efficiency is improved, the virtual-real fusion of the equipment is realized, and real-time parameters and states are displayed at the accurate position of the equipment.
The technical scheme is as follows:
NET, HTML5, UNITY3D and other technologies are adopted, front-end data are collected through TCP/IP, and data and diagrams are presented on a webpage in real time. And then, the system communicates with the AR mobile terminal in a wifi mode, so that the drilling machine equipment is scanned by the mobile terminal, and the virtual effect of the equipment and the drilling machine data display are presented on the mobile terminal.
The functions of the development of this technology are:
data acquisition of drilling equipment: the method comprises the steps of collecting parameters such as motion, state, performance indexes and the like of all equipment (a generator, a slurry pump, a winch, a top drive, a turntable, machines and tools and the like) of the drilling machine.
Data transmission and storage: the collected data are transmitted and stored safely and effectively, and data backup can be realized at the same time.
Data statistics and analysis: a data statistics and analysis system is constructed to perform statistics and analysis on data, mainly perform statistics and analysis on the operation state, the fault and the like of the drilling machine, and simultaneously realize real-time monitoring on the maintenance state of equipment.
Equipment maintenance management: the information management of the equipment and the automatic alarm of the equipment fault are realized, the running state of the equipment can be checked in real time, and the maintenance state of the equipment can be monitored.
The realization process comprises the following steps:
1. the online monitoring system Server is installed in a VFD room cabinet, and collects the PLC data of the system main station and stores the data in a database.
2. The system master station PLC acquires data of a winch, a top drive, a slurry pump, machine tools and equipment and the like.
And 3, the AR mobile client acquires the data of the on-line monitoring system Server through the wireless AP of the well site and displays the data in various modes such as a parameter frame, a chart, a curve and the like.
4. And an engineer monitors well site data in real time in a captain room through a computer, can inquire historical data and automatically receives equipment maintenance early warning information.
In this embodiment, the S2 further includes the following sub-steps:
s21: data acquisition of drilling equipment: collecting parameters of each device of the drilling machine;
s22: and transmitting and storing the drilling machine equipment data collected in the S21, and simultaneously performing data backup.
In this embodiment, each of the drilling apparatuses in S21 includes: generator, slush pump, winch, top drive, carousel, machines.
In this embodiment, the parameters in S21 include: motion parameters, state parameters, and performance indicators.
In this embodiment, the S3 further includes the following sub-steps:
s31: and carrying out statistics and analysis on the data to realize real-time monitoring on the maintenance state of the equipment.
In this embodiment, the performing statistics and analysis on the data in S31 includes: and counting and analyzing the running state and the fault of the drilling machine.
An AR-based rig online monitoring system, comprising: data acquisition subsystem, data transmission subsystem, data processing subsystem and equipment management subsystem, wherein:
the data acquisition subsystem: collecting parameters of each device of the drilling machine, wherein the parameters comprise motion parameters, state parameters and performance parameters;
the data transmission subsystem: sending the parameters acquired by the data acquisition subsystem to the data processing subsystem;
the data processing subsystem: receiving parameter data uploaded by a data transmission subsystem, and performing statistical analysis on the parameter data;
the equipment management subsystem: the information management is carried out on the equipment, the maintenance state of the equipment is detected, the automatic alarm of equipment faults is realized, and the real-time check of the running state of the equipment is realized.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (7)

1. An AR-based drilling machine online monitoring method is characterized by comprising the following steps:
s1: installing an online monitoring system in a VFD room cabinet, collecting PLC data of a system main station and storing the PLC data in a database;
s2: a system master station PLC acquires parameter data;
s3: the online monitoring server receives the parameter data and sends the parameter data to the cloud server;
s4: the user side is connected with the online monitoring server, well site data are monitored in real time, historical data are inquired, and equipment maintenance early warning information is automatically received.
2. The AR-based drilling rig online monitoring method as recited in claim 1, wherein said S2 further comprises the sub-steps of:
s21: data acquisition of drilling equipment: collecting parameters of each device of the drilling machine;
s22: and transmitting and storing the drilling machine equipment data collected in the S21, and simultaneously performing data backup.
3. The AR-based online monitoring method for drilling rig as recited in claim 2, wherein the drilling rig equipment in S21 comprises: generator, slush pump, winch, top drive, carousel, machines.
4. The AR-based drilling rig online monitoring method of claim 2, wherein the parameters in S21 include: motion parameters, state parameters, and performance indicators.
5. The AR-based drilling rig online monitoring method as recited in claim 1, wherein said S3 further comprises the sub-steps of:
s31: and carrying out statistics and analysis on the data to realize real-time monitoring on the maintenance state of the equipment.
6. The AR-based drilling rig on-line monitoring method as claimed in claim 5, wherein said counting and analyzing of data in S31 comprises: and counting and analyzing the running state and the fault of the drilling machine.
7. An AR-based drilling rig online monitoring system, comprising: data acquisition subsystem, data transmission subsystem, data processing subsystem and equipment management subsystem, wherein:
the data acquisition subsystem: collecting parameters of each device of the drilling machine, wherein the parameters comprise motion parameters, state parameters and performance parameters;
the data transmission subsystem: sending the parameters acquired by the data acquisition subsystem to the data processing subsystem;
the data processing subsystem: receiving parameter data uploaded by a data transmission subsystem, and performing statistical analysis on the parameter data;
the equipment management subsystem: the information management is carried out on the equipment, the maintenance state of the equipment is detected, the automatic alarm of equipment faults is realized, and the real-time check of the running state of the equipment is realized.
CN202210085198.2A 2022-01-25 2022-01-25 Drilling machine online monitoring system based on AR Pending CN114636438A (en)

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Application Number Priority Date Filing Date Title
CN202210085198.2A CN114636438A (en) 2022-01-25 2022-01-25 Drilling machine online monitoring system based on AR

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Application Number Priority Date Filing Date Title
CN202210085198.2A CN114636438A (en) 2022-01-25 2022-01-25 Drilling machine online monitoring system based on AR

Publications (1)

Publication Number Publication Date
CN114636438A true CN114636438A (en) 2022-06-17

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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202954804U (en) * 2012-11-27 2013-05-29 西安宝德自动化股份有限公司 Petroleum drilling machine wireless remote monitoring system
CN204041050U (en) * 2014-08-15 2014-12-24 中国人民解放军重庆通信学院 A kind of driller parameters monitoring device
US20160203681A1 (en) * 2015-01-12 2016-07-14 Barry J. Nield Wireless data monitoring and operational control for a work rig
US20190204467A1 (en) * 2017-12-31 2019-07-04 Power Monitors, Inc. Method and Apparatus for a Cloud-Based Oil Well Monitoring System
CN110259433A (en) * 2019-06-28 2019-09-20 宝鸡石油机械有限责任公司 A kind of entity drilling machine digital monitoring method
US20200131897A1 (en) * 2018-10-29 2020-04-30 Barry J. Nield System and method for monitoring a drill rig
CN111622735A (en) * 2020-02-10 2020-09-04 江苏盖亚环境科技股份有限公司 Environment-friendly drilling machine automatic control and monitoring system and method based on Internet of things
CN111667198A (en) * 2020-06-23 2020-09-15 宝石电气设备有限责任公司 Remote online monitoring and predictive maintenance system and evaluation method for petroleum drilling machine
CN213039269U (en) * 2020-06-23 2021-04-23 宝鸡石油机械有限责任公司 Online monitoring and fault diagnosis service platform for oil drilling machine

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202954804U (en) * 2012-11-27 2013-05-29 西安宝德自动化股份有限公司 Petroleum drilling machine wireless remote monitoring system
CN204041050U (en) * 2014-08-15 2014-12-24 中国人民解放军重庆通信学院 A kind of driller parameters monitoring device
US20160203681A1 (en) * 2015-01-12 2016-07-14 Barry J. Nield Wireless data monitoring and operational control for a work rig
US20190204467A1 (en) * 2017-12-31 2019-07-04 Power Monitors, Inc. Method and Apparatus for a Cloud-Based Oil Well Monitoring System
US20200131897A1 (en) * 2018-10-29 2020-04-30 Barry J. Nield System and method for monitoring a drill rig
CN110259433A (en) * 2019-06-28 2019-09-20 宝鸡石油机械有限责任公司 A kind of entity drilling machine digital monitoring method
CN111622735A (en) * 2020-02-10 2020-09-04 江苏盖亚环境科技股份有限公司 Environment-friendly drilling machine automatic control and monitoring system and method based on Internet of things
CN111667198A (en) * 2020-06-23 2020-09-15 宝石电气设备有限责任公司 Remote online monitoring and predictive maintenance system and evaluation method for petroleum drilling machine
CN213039269U (en) * 2020-06-23 2021-04-23 宝鸡石油机械有限责任公司 Online monitoring and fault diagnosis service platform for oil drilling machine

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