On-line leakage intelligent monitoring system based on multi-parameter monitoring and monitoring method

Abstract

The invention discloses an on-line leakage intelligent monitoring system based on multi-parameter monitoring and a monitoring method. The monitoring system includes a front-end leakage detection connecting device installed on a monitored device and a rear leakage monitoring device connected with the front-end leakage detection connecting device, the front-end leakage detection connecting device includes a plurality of leakage detection connecting pipes and a first connecting joint, a plurality of monitoring holes are arranged in the monitored device, each monitoring hole is connected with an inlet of one leakage detection connecting pipe, the rear leakage monitoring device includes a pressure monitoring device, a gas monitoring device, an acid-base value monitoring device, a data acquisition instrument, a master control device and a leakage alarm device, The monitoring method includes steps of monitoring project selection, alarm threshold setting, monitoring setting, and online leakage monitoring. The on-line leakage intelligent monitoring system is reasonable in design, simple in use, operation, and connection, and good in use effect, and can monitor the leakage conditions of the monitored device in real time online, the monitoring manner is flexible, the monitoring result is reliable, and the later query is simple.

Description

technical field [0001] The invention belongs to the technical field of equipment leakage monitoring, and in particular relates to an online leakage intelligent monitoring system and monitoring method based on multi-parameter monitoring. Background technique [0002] With the development of petroleum and chemical industries, leakage and explosion accidents have become the main problem for the safe and stable operation of equipment, and the resulting economic losses are increasing. In order to reduce economic losses and ensure the safety of equipment personnel. The traditional leak detection methods used in industrial production mainly include the following two types: one is the off-line detection method, that is, after a certain period of equipment operation, it is detected whether there are cracks, whether there is a risk of local corrosion and perforation, and corresponding control and prevention measures are taken. Measures; the second is to directly observe whether leakag...

AI Technical Summary

Problems solved by technology

The traditional leak detection methods used in industrial production mainly include the following two types: one is the off-line detection method, that is, after the equipment has been in operation for a certain period of time, it is detected whether there are cracks, whether there is a risk of local corrosion and perforation, and corresponding control and prevention measures are taken. measures; the second is to directly observe whether leakage occurs through the leakage hole of the online service equipment. At present, due to the lack of effective online real-time monitoring means and equipment, it is impossible to monitor in real time whether the metal surface in direct contact with the corrosive medium is leaking. The judgment lacks accuracy and timeliness, and in most cases, the equipment is severely damaged and a large number of leaks are not seen by the naked eye

[0003] The traditional equipment maintenance method is planned regular maintenance, that is, the equipment runs to the specified time, regardless of the condition of the equipment itself, whether the operating condition is good or not, and whether there are hidden dangers affecting the safe service, it must be stopped for disassembly and maintenance. The regulation that the due course must be completed is a conservative and blind way of overhauling

Planned regular maintenance may cause the equipment not to be repaired in time, and the equipment that should not be repaired is repaired repeatedly

According to this way of fixed thinking, it will cause a lot of waste of people, money, materials and time.

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