A Comprehensive Management System for Oil Production Well Equipment

Abstract

The present invention discloses a production well device integration management system. The system comprise a cloud server, a cloud-BOX, an oil extraction device control system and a monitoring module; the monitoring module is configured to collect the operation environment of an oil extraction device and the real-time related data of an oil well; the oil extraction device control system is configured to transmit the data collected by a detection device through the cloud-BOX to a cloud platform; the cloud platform is configured to receive and store the related data collected by the monitoring device; and the cloud platform is configured to collect the major parameters of the oil extraction device through the cloud server and the cloud-BOX and performs big data analysis to perform automatic synchronization and allow users to access the cloud platform through a communication device. The production well device integration management system employs a cloud server and has the advantage of having remote multi-backup storage to realize the access of million devices and simultaneous online of million-grade users. The production well device integration management system can remotely monitoring devices and monitor main data of the devices in real time. The production well device integration management system makes the video monitoring wireless and perform pre-installation of alarm triggering rule according to a scene oil extraction device.

Description

technical field [0001] The invention relates to a management system, in particular to a comprehensive management system for oil production well equipment. Background technique [0002] For the data acquisition of oil well equipment and the monitoring of oil production wells, the traditional method used in the industrial control electromechanical industry is to use configuration monitoring software to make it, but the above method has the following defects: [0003] 1. The number of monitoring points of the current equipment is restricted by the limitation of software service construction, resulting in the maximum number of real-time collection points of the equipment within 100,000 points, so the need for super large amount of equipment data collection cannot be realized, and the system users can only be limited to 100 people Within, and cannot be modeled, new devices must be re-associated with the system when they are connected to the system. [0004] 2. The oil production...

AI Technical Summary

Problems solved by technology

[0003] 1. The number of monitoring points of the current equipment is restricted by the limitation of software service construction, resulting in the maximum number of real-time collection points of the equipment within 100,000 points, so the need for super large amount of equipment data collection cannot be realized, and the system users can only be limited to 100 people Within, and cannot be modeled, new devices must be re-associated with the system when they are connected to the system

[0004] 2. The oil production environment is relatively harsh, and various problems often occur in oil production equipment. The status of the equipment is inspected regularly by personnel, and the oil production equipment cannot be monitored remotely. The main data of the equipment needs to be manually measured on site, manually recorded and sorted, and the oil production equipment itself Unable to record main data

[0005] 3. The current maintenance and alarm processing of oil production equipment requires manual judgment. According to the data on the oil production equipment, when to perform maintenance operations manually, the supervisory factor is too large, and sometimes it is even forgotten. When the alarm is only displayed, the alarm cannot be displayed. The main information of the equipment, and the alarm information cannot be recorded

[0006] 4. The current cloud computing system cannot meet the user's function of using data outside the system. Users need data for work reporting and sorting out various business reports. The presentation form of the data provided by the system is not flexible enough. This process requires a lot of labor. and error prone

[0007] 5. The current oil field video monitoring control is to transmit video data through wired methods. However, the distribution of existing oil production areas is often scattered, and the distance between each oil production point is not equal, which leads to complicated wiring and cannot control all oil production points. Simultaneous video monitoring, there is a possibility that video data cannot be transmitted due to line interruption

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