Corrosion data and control platform
By designing the corrosion data and control platform, the safety problems caused by corrosion in the development of natural gas gas fields are solved, data collection and processing are automated, and the efficiency and accuracy of corrosion monitoring and control are improved.
Patent Information
- Application Number
- CN202311007723.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-10
- Publication Date
- 2025-02-18
- Estimated Expiration
- 2043-08-10
AI Technical Summary
During the development of natural gas gas fields, pipeline perforations and natural gas leakage caused by corrosion occur frequently. The existing technology has problems such as low efficiency, easy data loss, and delayed decision-making in terms of corrosion data collection, processing and application, which seriously restricts on-site production corrosion control. response speed and effect.
A corrosion data and control platform was designed, including corrosion big data management module, risk assessment module, corrosion prediction module, overall corrosion control module and system management module. Through automated data acquisition, data processing and decision-making support, real-time corrosion protection is achieved. Monitoring and control.
The automation of data collection is realized, the timeliness of data is ensured, labor costs and driving safety risks are reduced, the rationality and systematicity of corrosion monitoring are improved, and the problems of traditional corrosion monitoring are solved, such as large blind spots, low management efficiency and lagging decision-making. .
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Figure CN119468084A_ABST
Abstract
Description
Technical Field
[0001] The invention belongs to the technical field of corrosion informationization, and in particular relates to a corrosion data and control platform. Background Art
[0002] Safety issues such as pipeline perforation and natural gas leakage caused by corrosion frequently occur during the development of natural gas fields. According to existing reports, about 30% of natural gas pipeline accidents are directly or indirectly caused by corrosion. In order to improve corrosion control capabilities, corrosion data monitoring and corrosion data mining research is carried out. At the same time, in the process of corrosion control implementation, it is found that there are many problems in the collection, processing and application of massive corrosion data, which seriously restricts the response speed and effect of on-site production corrosion control.
[0003] First, at the corrosion data monitoring level, data collection mostly relies on manual methods, with low collection efficiency and easy data loss. Corrosion data is isolated and single, usually existing in the form of data islands, and most of the historical data is shelved. Second, in terms of data processing, part of the traditional corrosion prediction research is based on historical experience, which has the problem of strong subjectivity and inability to objectively and quantitatively predict the development trend of corrosion. Part of it is driven by corrosion data and processed using mathematical regression methods, which has the problems of low accuracy, poor reliability, and weak guidance for on-site production repair and maintenance. Third, in terms of decision support, on-site corrosion risks cannot be displayed in real time, decisions are delayed, and most of them are passive repairs afterwards. It is impossible to monitor the on-site agent filling situation in real time, and it is impossible to adjust the filling system in time. There is a lack of intuitive display of the corrosion status of the monitored object. Summary of the invention
[0004] In response to the above problems, the technical solution adopted by the present invention is as follows: a corrosion data and control platform, which includes a corrosion big data management module, a risk assessment module, a corrosion prediction module, an overall corrosion control module and a system management module; the corrosion big data management module is used to open up the data interface of the corrosion business system; the risk assessment module is used to calculate the risk assessment value according to the station and pipeline working data; the corrosion prediction module is used to calculate the corrosion rate of the experimental object based on the corrosion rate prediction model and the wall thickness prediction model; the overall corrosion control module is used to realize the entry or update management of corrosion control information; the system management module is used to realize the management of the corrosion data and control platform.
[0005] Furthermore, the corrosion big data management module includes a basic data management unit, a detection data management unit, a monitoring data management unit, a corrosion failure data unit, an indoor experimental data management unit and a corrosion data report unit; the basic data management unit is used to realize the management of pipeline data and station data; the detection data management unit is used to realize the management of detection data; the monitoring data management unit is used to realize the record of corrosion probes, flexible ultrasound, ultrasonic fixed-point measurement, corrosion hanging piece foundation, hydrogen flux, sand monitoring and visual inspection; the corrosion failure data unit is used to obtain pipeline failure data and station failure data, and analyze pipeline failure data and station failure data; the indoor experimental data management unit is used to realize the record of corrosion rate, stress corrosion and chemical analysis; the corrosion data report unit is used to realize the record of corrosion hanging pieces, probe data and ultrasonic fixed-point measurement.
[0006] Furthermore, pipeline data management includes pipeline static data management, pipeline elevation mileage data and pipeline dynamic data configuration, and station data management includes station static data management, corrosion loop archiving and station dynamic data configuration;
[0007] The corrosion probe includes basic probe data, the flexible ultrasonic wave includes basic flexible ultrasonic wave data, the ultrasonic fixed-point measurement includes an ultrasonic fixed-point thickness measurement account, the hydrogen flux includes a hydrogen flux account, and the sand monitoring includes a gravel monitoring account;
[0008] The corrosion rate includes the original records of electrochemical corrosion test, the original records of indoor coupon corrosion rate test, the original records of high-pressure corrosion rate test, the original records of normal-pressure corrosion rate evaluation and the original records of metal pitting test; the stress corrosion includes the original records of metal hydrogen-induced cracking resistance test, three-point bending test records, four-point bending test records, C-ring test records and uniaxial loading tensile test records; the chemical analysis includes the original records of corrosion inhibitor residual concentration determination and iron content determination records.
[0009] Furthermore, the risk assessment module includes a pipeline assessment unit and a site assessment unit; the pipeline assessment unit is used to assess pipeline risk and record pipeline risk assessment results; the site assessment unit is used to assess site risk and record site risk assessment results.
[0010] Furthermore, the corrosion prediction module includes a big data model unit, a wall thickness prediction unit and a rate prediction unit; the big data model unit is used to collect and organize corrosion data; the wall thickness prediction unit is used to predict wall thickness loss; and the rate prediction unit is used to predict the corrosion rate.
[0011] Furthermore, the overall corrosion control module includes a material selection unit, a corrosion inhibitor intelligent filling unit, a cathodic protection unit, a pipe cleaning unit and a material failure library unit; the material selection unit is used to select internal coating-ground pipelines, internal coating-oil casing, lining corrosion-resistant alloy-bimetallic and corrosion-resistant alloy composite pipes; the corrosion inhibitor intelligent filling unit is used to manage the corrosion inhibitor filling plan, corrosion inhibitor execution status and corrosion inhibitor filling effect; the cathodic protection unit is used to manage the cathodic protection ledger; the pipe cleaning unit is used for pipe cleaning ledgers and reports; the material failure library unit is used to manage site failure data.
[0012] Furthermore, the corrosion inhibitor intelligent filling unit includes a parameter setting subunit, a data monitoring subunit, an intelligent decision-making subunit and a remote control subunit; the parameter setting subunit is used to add new filling equipment and configure basic information of the filling equipment; the data monitoring subunit is used to remotely collect parameters and warn of equipment failure; the intelligent decision-making subunit is used to establish an intelligent filling strategy based on real-time operating condition data and corrosion control effects; the remote control subunit is used to remotely control the operation of the filling equipment.
[0013] Furthermore, the basic information of the filling equipment includes the equipment installation address, equipment control number, equipment request address, equipment warning contact and contact number; the parameters include displaying the liquid level curve, filling pressure curve, filling motor frequency curve, stirring motor and filling motor status; the operation status of the filling equipment includes starting and shutting down the filling equipment, setting each stirring time for the stirring motor, the interval between each stirring time and the set filling amount.
[0014] Furthermore, the system management module includes an organizational structure setting unit, a user role management unit and a data permission management unit; the organizational structure setting unit is used to determine the department composition, department hierarchy and data attribution unit; the user role management unit is used to control the operating permissions in the system; the data permission management unit is used to control the scope of data resources viewed by the logon user or operator.
[0015] Furthermore, the platform interface design of the corrosion data and control platform includes an internal interface and an external service. The internal interface is used to provide an interface for the internal system to access real-time data and reports; the external service is used to publish services through a service bus and provide them to other external systems for calling.
[0016] The corrosion data and control platform designed by the present invention realizes data collection automation, ensures the timeliness of data, and structures various corrosion data such as station basic data, pipeline basic data, monitoring and detection data, corrosion failure data, indoor laboratory data, corrosion reports, etc. into the database to achieve centralized and unified management. The collection of corrosion data is changed from driving to the site to remote automatic collection, reducing labor costs and driving safety risks.
[0017] At the same time, the corrosion prediction module in the corrosion data and control platform has functions such as data processing, model construction, model verification, and iterative optimization. Based on the high-risk corrosion point identification technology, it realizes the rationality, representativeness and systematicness of the selection of corrosion monitoring points, and solves the problems of large blind spots in traditional corrosion monitoring, low management efficiency of corrosion protection, and delayed decision-making. The intelligent filling unit of the corrosion inhibitor realizes functions such as remote filling status monitoring and remote filling amount adjustment, providing a new means for the execution process and evaluation of corrosion measures. In addition, the platform provides automatic analysis and calculation functions to reduce the tedious data sorting and statistical workload of grassroots personnel, saving time and human capital.
[0018] Other features and advantages of the present invention will be described in the following description, and part of them will become obvious from the description, or be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained through the description and the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0020] Figure 1 A schematic diagram of a corrosion data and control platform according to an embodiment of the present invention;
[0021] Figure 2 Schematic diagram of the risk assessment module model in an embodiment of the present invention. DETAILED DESCRIPTION
[0022] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0023] A corrosion data and control platform, such as Figure 1As shown, the platform includes a corrosion big data management module, a risk assessment module, a corrosion prediction module, an overall corrosion control module and a system management module; the corrosion big data management module is used to improve the corrosion business system from an offline mode to an online mode, and to open up the data interface of the corrosion business system; the risk assessment module is used to calculate the risk assessment value according to the station and pipeline working data; the corrosion prediction module is used to calculate the corrosion rate of the experimental object based on the corrosion rate prediction model and the wall thickness prediction model; the overall corrosion control module is used to realize the entry or update management of corrosion control information; the system management module is used to realize the management of corrosion data and control platform.
[0024] For the corrosion big data management module, the corrosion data collection business is improved from the traditional offline collection mode to the online collection mode, and the data interfaces of the business systems such as the main data system and the production real-time data system are opened to realize the automatic acquisition of some production data and basic data. The traditional offline collected data mainly includes the basic data of the station pipeline, corrosion failure data, filling plan data, etc., which are mainly collected offline, cleaned and restructured for storage. The online collected data mainly includes corrosion detection data, corrosion monitoring data, ultrasonic data, etc.; the business system realizes data collection and transmission based on the API interface (application programming interface) of the standard protocol, and the detection data in the production network is collected to the office network through security isolation. Data integration and related system integration are realized in the office network and provided to unit users for access. During the data preparation process, the full amount is synchronized from the main data system through the SOA (service-oriented architecture) interface and enters the database.
[0025] The corrosion big data management module includes a basic data management unit, a detection data management unit, a monitoring data management unit, a corrosion failure data unit, an indoor experimental data management unit, a corrosion data report unit and a corrosion standard unit; the basic data management unit is used to manage pipeline data and site data; the detection data management unit is used to manage detection data; the monitoring data management unit is used to record corrosion probes, flexible ultrasound, ultrasonic fixed-point measurement, corrosion hanging piece foundation, hydrogen flux, sand monitoring and visual inspection; the corrosion failure data unit is used to obtain pipeline failure data and site failure data, and analyze pipeline failure data and site failure data; the indoor experimental data management unit is used to record corrosion rate, stress corrosion and chemical analysis; the corrosion data report unit is used to record corrosion hanging pieces, probe data and ultrasonic fixed-point measurement.
[0026] Pipeline data management includes pipeline static data management, pipeline elevation mileage data and pipeline dynamic data configuration; station data management includes station static data management, corrosion loop archiving and station dynamic data configuration; the corrosion probe includes probe basic data, the flexible ultrasonic wave includes flexible ultrasonic basic data, the ultrasonic fixed-point measurement includes ultrasonic fixed-point thickness measurement ledger, the hydrogen flux includes hydrogen flux ledger, and the sand monitoring includes gravel monitoring ledger; the corrosion rate includes electrochemical corrosion test original records, indoor coupon corrosion rate test original records, high-pressure corrosion rate test original records, normal pressure corrosion rate evaluation original records and metal pitting test original records; the stress corrosion includes metal hydrogen cracking resistance test original records, three-point bending test records, four-point bending test records, C-ring test records and uniaxial loading tensile test records; chemical analysis includes corrosion inhibitor residual concentration determination original records and iron content determination records.
[0027] For the risk assessment module, in terms of the risk assessment function of the platform, based on the ICDA (pipeline) and RBI (station) methods, key corrosion influencing factors such as equipment material, corrosion rate, gas molecular weight, and operating pressure are comprehensively considered. The risk assessment module includes a pipeline assessment unit and a station assessment unit; the pipeline assessment unit is used to assess pipeline risks and record pipeline risk assessment results; the station assessment unit is used to assess station risks and record station risk assessment results.
[0028] For the corrosion prediction module, a corrosion rate prediction model and a wall thickness prediction model based on big data technology are constructed to calculate the corrosion rate data of the experimental object. The corrosion prediction module has functions such as data processing, model construction, model verification, and iterative optimization to effectively support the corrosion rate calculation work. The corrosion prediction module includes a big data model unit, a wall thickness prediction unit, and a rate prediction unit; the big data model unit is used to collect and organize corrosion and related data; the wall thickness prediction unit is used to predict wall thickness loss; and the rate prediction unit is used to predict the corrosion rate.
[0029] Based on the corrosion rate prediction result multiplied by the anti-corrosion measures coefficient, the wall thickness loss is predicted by superimposing the historical accumulation, so that the corrosion rate and wall thickness loss are used as the basic basis for the internal corrosion risk ranking along the pipeline. In wet gas pipelines, the location of slug flow, the location of liquid accumulation and dirt deposition, and welds also determine the corrosion distribution state, which is a high-risk location for internal corrosion, but these factors cannot be quantitatively associated with the corrosion rate and need to be used as a supplementary basis for the internal corrosion risk ranking. The six discriminant parameters of the flow type, liquid holding rate, corrosion rate, probability of liquid accumulation, cumulative wall thickness loss, and the presence of welds at each pipeline node are comprehensively considered as a comprehensive ranking of the relative severity of internal corrosion along the pipeline to identify relatively serious corrosion areas. For example, the discriminant parameters for high-risk points for internal corrosion are: the flow type of pipeline nodes is slug flow; the average value of liquid holding rate is in the top 10; the average value of corrosion rate of each section is in the top 10; the probability of liquid accumulation is 1; the cumulative wall thickness loss is in the top 10; there are welds; the single factors of the above six parameters are counted to determine the number of "high-risk points". Then, using the comprehensive ranking method, according to the information statistics of the "risk high points" recommended by each pipeline, the relative severity of the corrosion along the pipeline is ranked from most to least according to the number of "risk high points". If the number of "risk high points" is equal, the ranking is based on the size of "accumulated wall thickness loss". In the embodiment of the present invention, if Figure 2 The figure shows the schematic diagram of the model for identifying the location of internal corrosion risk in the corrosion prediction module. Figure 2 The numbers 1-6 represent the six discrimination parameters of pipeline node flow type, liquid holdup, corrosion rate, liquid accumulation probability, cumulative wall thickness loss and whether there is a weld. The shaded part in the upper right corner of the figure belongs to high risk, the blank part in the middle belongs to medium risk, and the shaded part in the lower left corner belongs to low risk.
[0030] For the overall corrosion control module, it includes a material selection unit, a corrosion inhibitor intelligent filling unit, a cathodic protection unit, a pipe cleaning unit and a material failure library unit; the material selection unit is used to select internal coating-ground pipelines, internal coating-oil casing, lining corrosion-resistant alloy-bimetallic and corrosion-resistant alloy composite pipes; the corrosion inhibitor intelligent filling unit is used to manage the corrosion inhibitor filling plan, corrosion inhibitor execution status and corrosion inhibitor filling effect; the cathodic protection unit is used to manage the cathodic protection ledger; the pipe cleaning unit is used for pipe cleaning ledgers and reports. The overall corrosion control module also includes other agent filling units, which are used to add bactericides and other agents (such as scale inhibitors, fungicides, etc.). Taking the corrosion inhibitor intelligent filling unit as an example, the corrosion data and control platform not only realizes the online supervision of the implementation of anti-corrosion measures of each unit, but also realizes the intelligent filling of agents.
[0031] The intelligent filling unit of corrosion inhibitor has parameter setting, data monitoring, intelligent decision-making and remote control functional subunits. Among them, the parameter setting subunit is used for filling equipment management page, adding new filling equipment and configuring filling equipment basic information. The filling equipment basic information includes equipment installation address, equipment control number, equipment request address, equipment warning contact person and contact number. The data monitoring subunit is used for remote parameter acquisition. The liquid level curve, filling pressure curve, filling motor frequency curve, stirring motor and filling motor status are intuitively displayed through curves, which is convenient for monitoring and detection; real-time viewing can view the filling pressure and filling amount of the current filling port, the operating status, liquid level and system of the equipment; equipment warning, for equipment shutdown, data disconnection, low liquid level and other situations, the detailed information of the warning will be displayed and sent to the warning person through SMS. The intelligent decision-making subunit is developed based on real-time working condition data and corrosion control effect characterization indicators. Through the construction of an integrated model of on-site production conditions, the relationship between water production, SRB (sulfate-reducing bacteria) content and corrosion rate is analyzed to form a correlation algorithm for the amount of reagent filling based on corrosion control effect characterization indicators. Through the on-site data collection and integration module, an intelligent filling strategy for real-time working condition data and corrosion control effects is established. The remote control subunit is used to realize remote control functions such as starting and shutting down the filling equipment, setting the stirring time and interval of each stirring time for the stirring motor, setting the filling amount (setting the filling amount directly on the control page; the corrosion inhibitor filling amount needs to be dynamically adjusted according to the production data, SRB concentration, corrosion rate and other indicators to establish a filling amount association algorithm model to obtain the corrosive agent filling amount), disabling or enabling the filling port, etc.
[0032] The intelligent corrosion inhibitor filling unit meets the "one platform, multiple wellheads" requirement of shale gas platform wells. The intelligent filling equipment realizes a "one-to-many" filling management mode, enables real-time collection and remote monitoring of filling data, all-weather monitoring and tracking, and real-time adjustment of the optimal control system, establishes a set of intelligent decision-making for chemical agents, and realizes intelligent management of business data assets.
[0033] For the system management module, it includes an organizational structure setting unit, a user role management unit and a data permission management unit; the organizational structure setting unit is used to determine the department composition, department hierarchy and data ownership unit; the user role management unit is used to control the operating permissions in the system, and the operating permissions can be user groups with certain permissions; the data permission management unit is used to control the scope of data resources that the logon user or operator can view.
[0034] In the embodiment of the present invention, the corrosion data and control platform is based on database servers, application servers, and data exchange servers to build platform hardware, and is based on windows operating system, Mysql 5.0 or higher database servers, ApacheTomcat 8.0 or higher application servers, JDK 1.8 environment, ODBC (Open Database Connectivity), JDBC (Java Database Connectivity), OLEDB (Low-level Application Programming Interface) and other database interfaces, Redis 3.2 or higher cache services and other components to build platform software. The interface design of the corrosion data and control platform is mainly divided into two parts, one part is the internal interface, which provides an interface for the internal system to access real-time data and reports; the other part is the external service, which can be published as a WebService service through IBM ESB (Enterprise Service Bus) and provided to other external systems for calling.
[0035] In summary, the corrosion data and control platform designed by the present invention realizes the automation of data collection, ensures the timeliness of data, and structures various types of corrosion data such as station basic data, pipeline basic data, monitoring and detection data, corrosion failure data, indoor laboratory data, corrosion reports, etc. into the database to achieve centralized and unified management. The collection of corrosion data has been changed from the previous collection by driving to the site to remote automatic collection, reducing labor costs and driving safety risks. At the same time, the corrosion data and control platform provides automatic analysis and calculation functions, reducing the tedious data sorting and statistical workload of grassroots personnel, saving time and human capital. Based on the corrosion high-risk point identification technology, the rationality, representativeness and systematicness of the selection of corrosion monitoring points are achieved, solving the problems of large blind spots in traditional corrosion monitoring, low management efficiency of corrosion protection and delayed decision-making. The intelligent filling unit of the corrosion inhibitor realizes functions such as remote filling status monitoring and remote filling amount adjustment, providing a new means for the execution process and evaluation of corrosion measures.
[0036] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A corrosion data and control platform, characterized in that: The platform includes a corrosion big data management module, a risk assessment module, a corrosion prediction module, an overall corrosion control module and a system management module; The corrosion big data management module is used to open up the data interface of the corrosion business system; The risk assessment module is used to calculate the risk assessment value based on the station and pipeline working data; The corrosion prediction module is used to calculate the corrosion rate of the experimental object based on the corrosion rate prediction model and the wall thickness prediction model; The overall corrosion control module is used to implement the entry or update management of corrosion control information; The system management module is used to manage corrosion data and control platform.
2. A corrosion data and control platform according to claim 1, characterized in that: The corrosion big data management module includes a basic data management unit, a detection data management unit, a monitoring data management unit, a corrosion failure data unit, an indoor experimental data management unit and a corrosion data report unit; The basic data management unit is used to manage pipeline data and station data; The detection data management unit is used to manage the detection data; The monitoring data management unit is used to realize the recording of corrosion probe, flexible ultrasonic, ultrasonic fixed-point measurement, corrosion coupon foundation, hydrogen flux, sand monitoring and visual inspection; The corrosion failure data unit is used to obtain pipeline failure data and station failure data, and analyze the pipeline failure data and station failure data; The indoor experimental data management unit is used to record corrosion rate, stress corrosion and chemical analysis; The corrosion data reporting unit is used to realize the recording of corrosion coupons, probe data and ultrasonic fixed-point measurement.
3. A corrosion data and control platform according to claim 2, characterized in that: Pipeline data management includes pipeline static data management, pipeline elevation mileage data and pipeline dynamic data configuration; station data management includes station static data management, corrosion loop archiving and station dynamic data configuration; The corrosion probe includes basic probe data, the flexible ultrasonic wave includes basic flexible ultrasonic wave data, the ultrasonic fixed-point measurement includes an ultrasonic fixed-point thickness measurement account, the hydrogen flux includes a hydrogen flux account, and the sand monitoring includes a gravel monitoring account; The corrosion rate includes the original records of electrochemical corrosion test, the original records of indoor coupon corrosion rate test, the original records of high-pressure corrosion rate test, the original records of normal-pressure corrosion rate evaluation and the original records of metal pitting test; the stress corrosion includes the original records of metal hydrogen-induced cracking resistance test, three-point bending test records, four-point bending test records, C-ring test records and uniaxial loading tensile test records; the chemical analysis includes the original records of corrosion inhibitor residual concentration determination and iron content determination records.
4. A corrosion data and control platform according to claim 2 or 3, characterized in that: The risk assessment module includes a pipeline assessment unit and a site assessment unit; The pipeline assessment unit is used to assess pipeline risks and record pipeline risk assessment results; The site assessment unit is used to assess site risks and record site risk assessment results.
5. A corrosion data and control platform according to claim 4, characterized in that: The corrosion prediction module includes a big data model unit, a wall thickness prediction unit and a rate prediction unit; The big data model unit is used to collect and organize corrosion data; The wall thickness prediction unit is used to predict the wall thickness loss; The rate prediction unit is used to predict the corrosion rate.
6. A corrosion data and control platform according to claim 5, characterized in that: The overall corrosion control module includes a material selection unit, a corrosion inhibitor intelligent filling unit, a cathodic protection unit, a pigging unit, and a material failure library unit; The material selection unit is used to select internal coating-surface pipeline, internal coating-oil casing, internal lining corrosion-resistant alloy-bimetallic and corrosion-resistant alloy composite pipe; The corrosion inhibitor intelligent filling unit is used to manage the corrosion inhibitor filling plan, the corrosion inhibitor execution status and the corrosion inhibitor filling effect; The cathodic protection unit is used to manage the cathodic protection ledger; The pigging unit is used for pigging records and reports; The material failure library unit is used to manage site failure data.
7. A corrosion data and control platform according to claim 6, characterized in that: The corrosion inhibitor intelligent filling unit includes a parameter setting subunit, a data monitoring subunit, an intelligent decision-making subunit and a remote control subunit; The parameter setting subunit is used to add new filling equipment and configure basic information of the filling equipment; The data monitoring subunit is used to remotely collect parameters and warn of equipment failures; The intelligent decision-making subunit is used to establish an intelligent filling strategy based on real-time operating data and corrosion control effects; The remote control subunit is used to remotely control the operation of the filling equipment.
8. A corrosion data and control platform according to claim 7, characterized in that: The basic information of the filling equipment includes the equipment installation address, equipment control number, equipment request address, equipment warning contact person and contact number; The parameters include displaying the liquid level curve, filling pressure curve, filling motor frequency curve, stirring motor and filling motor status; The operation status of the filling equipment includes starting and shutting down the filling equipment, setting each stirring time for the stirring motor, the interval between each stirring time and the setting filling amount.
9. A corrosion data and control platform according to any one of claims 6 to 8, characterized in that: The system management module includes an organizational structure setting unit, a user role management unit and a data authority management unit; The organizational structure setting unit is used to determine the department composition, departmental hierarchy and data ownership unit; The user role management unit is used to control the operation permissions in the system; The data authority management unit is used to control the scope of data resources viewed by the logon user or operator.
10. A corrosion data and control platform according to claim 1, characterized in that: The platform interface design of the corrosion data and control platform includes an internal interface and an external service. The internal interface is used to provide an interface for the internal system to access real-time data and reports; the external service is used to publish services through a service bus and provide them to other external systems for calling.
Citation Information
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