CN115422190A - Information management method for large-diameter pipeline support and hanger of ocean platform - Google Patents

Abstract

The invention discloses an information management method for a large-diameter pipeline support and hanger of an ocean platform, which comprises the following steps: establishing an information data table for each large-diameter pipeline support and hanger of the ocean platform; importing the pipeline support and hanger information data table into bar code label printing software, generating a special support and hanger bar code for each pipeline support and hanger, and attaching the support and hanger bar codes to the support and hanger; after a manager inspects the support and hanger, the manager inputs the support and hanger information by scanning a support and hanger bar code; the state of the support hanger is predicted by using artificial intelligence, whether the state of the support hanger is abnormal or not is judged, and whether the support hanger is maintained or not is determined. Compared with the prior art, the method realizes the online management of the information of the large-diameter pipeline support and hanger of the ocean platform, increases the safety of the pipeline support and hanger, and reduces the maintenance difficulty of the pipeline support and hanger.

Description

Information management method for large-diameter pipeline support and hanger of ocean platform

Technical Field

The invention relates to an information management method of a pipeline support and hanger, in particular to an information management method of a large-diameter pipeline support and hanger for an ocean platform.

Background

A large number of large diameter non-standard pipelines are mounted on the ocean platform and supported by pipeline supporting and hanging frames. The pipe hangers are of different types and are mounted in such a way that the state of the pipe hanger directly affects the state of the entire pipe, which is an irreparable loss for the offshore platform if the pipe hanger is severely deformed and can cause damage to the entire pipe. The large-diameter pipeline supporting and hanging bracket has large design load, so that deformation is inevitably generated during use, and the pipeline supporting and hanging bracket needs to be regularly inspected to ensure that the state of the pipeline supporting and hanging bracket is in a controllable range, and deformation information is recorded. However, in the past, the deformation is only compared with the maximum allowable deformation, and this method causes serious deformation when the pipe support and hanger does not meet the requirement, and generally, the maintenance can only be performed by replacing the support and hanger, and the maintenance process is complicated and tedious.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provides an information management method for a large-diameter pipeline support and hanger of an ocean platform. According to the method, the information of the support and hanger is managed on line by establishing the support and hanger information data table, and compared with the traditional method, the method is higher in efficiency, more convenient and more visual. The state of the support and hanger is judged by introducing the neural network, and the support and hanger is more active compared with the traditional mode, can be maintained in time by a mode of correcting the shape or increasing the support when the support and hanger generates abnormal deformation, and is more convenient to maintain compared with a replacement mode.

In order to achieve the purpose, the invention adopts the technical scheme that:

step one, establishing an information database of the large-diameter pipeline support and hanger of the ocean platform, wherein the information database comprises n information data tables, and n is the number of the pipeline support and hanger to be managed. Each of the information data tables contains a number of a support and hanger, type information, design load information, use time information, and deformation amount information, wherein the number of the support and hanger, the type information, and the design load information are fixed in each of the information data tables, and once the fixed data of each of the information data tables is set, the fixed data cannot be edited. The use time information and the deformation amount information are editable data, each use time information corresponds to one deformation amount information, and the addition of new use time information and deformation amount information does not affect the previous use time information and deformation amount information. The support and hanger type information is a support type, such as a movable support, a fixed support and the like;

and step two, importing all the pipeline support and hanger information data tables established in the step one into bar code label printing software, generating a dedicated support and hanger bar code for each pipeline support and hanger, and attaching the support and hanger bar codes to the support and hanger when the pipeline support and hanger is installed. After the administrator finishes the inspection of the pipeline support hanger, the deformation of the pipeline support hanger is measured, then the corresponding mobile phone APP is used for scanning the support hanger bar code, the use time information and the deformation information of the support hanger can be input, and the input information is fed back to the pipeline support hanger information data table established in the first step, so that the online management of the support hanger information is realized;

predicting the state of the support and hanger by using a neural network, comparing the predicted state with the actual state measured by inspection, and judging whether the state of the support and hanger is abnormal or not so as to determine whether maintenance is needed or not;

and step four, counting the number of the total hangers, the number of the hangers in normal state, the number of the hangers in abnormal state and the number of the hangers to be maintained, so as to realize overall state monitoring.

The invention has the beneficial effects that: compared with the prior art, the invention has the advantages that: the invention realizes the online information management of the large-diameter pipeline support and hanger of the ocean platform, and judges the state of the pipeline support and hanger by introducing the neural network, thereby improving the management efficiency on one hand and increasing the safety of the pipeline support and hanger on the other hand.

Drawings

FIG. 1 is a flow chart of an information management method according to the present invention.

Detailed Description

The invention aims to overcome the defects of the prior art and provides an information management method for a large-diameter pipeline support and hanger of an ocean platform.

The invention relates to an information management method for a large-diameter pipeline support and hanger of an ocean platform, which comprises the following steps of:

step one, establishing an information database of the large-diameter pipeline support and hanger of the ocean platform, wherein the information database comprises n information data tables, and n is the number of the pipeline support and hanger to be managed. Each of the information data tables contains a number of a support and hanger, type information, design load information, use time information, and deformation amount information, wherein the number of the support and hanger, the type information, and the design load information are fixed in each of the information data tables, and once the fixed data of each of the information data tables is set, the fixed data cannot be edited. The use time information and the deformation amount information are editable data, each use time information corresponds to one deformation amount information, and the addition of new use time information and deformation amount information does not affect the previous use time information and deformation amount information. The support and hanger type information is a support type, such as a movable support, a fixed support and the like;

step two, import the all pipeline gallows information data table that establish in step one into bar code label printing software, generate exclusive gallows bar code to every pipeline gallows, paste a gallows bar code on a gallows when a pipeline gallows is installed. After the administrator finishes the inspection of the pipeline support hanger, the deformation of the pipeline support hanger is measured, then the corresponding mobile phone APP is used for scanning the support hanger bar code, the use time information and the deformation information of the support hanger can be input, and the input information is fed back to the pipeline support hanger information data table established in the first step, so that the online management of the support hanger information is realized;

and step three, predicting the state of the support and hanger by using a neural network, comparing the state with the actual state measured by inspection, and judging whether the state of the support and hanger is abnormal or not so as to determine whether maintenance is needed or not. The specific process is as follows:

firstly, establishing a historical inspection record database of a large-diameter pipeline support hanger of the ocean platform. Collecting historical data of the existing large-diameter pipeline support and hanger of the ocean platform to form a historical data base, preferably, the historical data covers the whole life cycle of the support and hanger. The data mainly comprises type information, design load information, service time information and deformation information of the pipeline support and hanger;

secondly, dividing the data collected in the first step into a training set and a test set, establishing a neural network and training the neural network by using the training set data, wherein the input of the neural network is the type information, the design load information and the use time information of a support hanger, the output of the neural network is deformation information, the test set data is used for testing the neural network after the training is finished, if the test error meets the requirement, the training of the neural network is finished, and if the test error does not meet the requirement, the parameters of the neural network are modified to continue training until the error meets the requirement;

and thirdly, after the management personnel finish the routing inspection and use the APP to input the information of the support and hanger, predicting the deformation information of the support and hanger by using the neural network established in the second step, wherein the input of the neural network is the support and hanger type information, the design load information and the latest input use time information in the information data table of the support and hanger, and the output is the predicted deformation information. Comparing the deformation information predicted by the neural network with the deformation information actually recorded in the step two, and if the actual deformation is less than or equal to the predicted deformation, considering that the state of the support and hanger is normal and the maintenance is not needed; otherwise, the state of the support hanger is considered to be abnormal, and maintenance is needed. For the condition needing maintenance, the service time of the support hanger needs to be subjected to zero treatment after maintenance;

and step four, counting the number of the total hangers, the number of the hangers in normal state, the number of the hangers in abnormal state and the number of the hangers to be maintained, so as to realize overall state monitoring.

Claims (1)

1. An information management method for a large-diameter pipeline support and hanger of an ocean platform is characterized by comprising the following steps:

step one, establishing an information database of the large-diameter pipeline support and hanger of the ocean platform, wherein the information database comprises n information data tables, and n is the number of the pipeline support and hanger to be managed. Each of the information data tables contains a number of a support and hanger, type information, design load information, use time information, and deformation amount information, wherein the number of the support and hanger, the type information, and the design load information are fixed in each of the information data tables, and once the fixed data of each of the information data tables is set, the fixed data cannot be edited. The use time information and the deformation amount information are editable data, each use time information corresponds to one deformation amount information, and the addition of new use time information and deformation amount information does not affect the previous use time information and deformation amount information. The support and hanger type information is a support type, such as a movable support, a fixed support and the like;

step two, import the all pipeline gallows information data table that establish in step one into bar code label printing software, generate exclusive gallows bar code to every pipeline gallows, paste a gallows bar code on a gallows when a pipeline gallows is installed. After the administrator finishes the inspection of the pipeline support hanger, the deformation of the pipeline support hanger is measured, then the corresponding mobile phone APP is used for scanning the support hanger bar code, the use time information and the deformation information of the support hanger can be input, and the input information is fed back to the pipeline support hanger information data table established in the first step, so that the online management of the support hanger information is realized;

and step three, predicting the state of the support and hanger by using a neural network, comparing the state with the actual state measured by inspection, and judging whether the state of the support and hanger is abnormal or not so as to determine whether maintenance is needed or not. The specific process is as follows:

firstly, establishing a historical inspection record database of a large-diameter pipeline support hanger of the ocean platform. Collecting historical data of the existing large-diameter pipeline support and hanger of the ocean platform to form a historical data base, preferably, the historical data covers the whole life cycle of the support and hanger. The data mainly comprises type information, design load information, service time information and deformation information of the pipeline support and hanger;

secondly, dividing the data collected in the first step into a training set and a testing set, establishing a neural network and training the neural network by using the training set data, wherein the input of the neural network is the type information, the design load information and the use time information of a support and hanger, the output of the neural network is deformation information, the testing set data is used for testing the neural network after the training is finished, if the testing error meets the requirement, the training of the neural network is finished, and if the testing error does not meet the requirement, the parameters of the neural network are modified to continue training until the error meets the requirement;

and thirdly, after the management personnel finish the routing inspection and use the APP to input the information of the support and hanger, predicting the deformation information of the support and hanger by using the neural network established in the second step, wherein the input of the neural network is the support and hanger type information, the design load information and the latest input use time information in the information data table of the support and hanger, and the output is the predicted deformation information. Comparing the deformation information predicted by the neural network with the deformation information actually recorded in the step two, and if the actual deformation is less than or equal to the predicted deformation, considering that the state of the support and hanger is normal and the maintenance is not needed; otherwise, the state of the support hanger is considered to be abnormal, and maintenance is needed. For the condition needing maintenance, the using time of the support hanger needs to be subjected to zero treatment after maintenance;

and step four, counting the number of the total hangers, the number of the hangers in normal state, the number of the hangers in abnormal state and the number of the hangers to be maintained, so as to realize overall state monitoring.

Images