A corrosion data and control platform
By designing a corrosion data and control platform, automated collection and management of corrosion data were achieved, corrosion rate and wall thickness prediction models were constructed, and intelligent corrosion inhibitor dosing function was provided. This solved the problems of isolated corrosion data and low prediction accuracy, and improved corrosion protection efficiency and real-time decision-making.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- PETROCHINA CO LTD
- Filing Date
- 2023-08-10
- Publication Date
- 2026-05-26
AI Technical Summary
In existing technologies, corrosion data acquisition is inefficient, data is easily lost, corrosion data is isolated, traditional corrosion prediction is not accurate, on-site corrosion risks cannot be displayed in real time, decision-making is delayed, and there is a lack of intuitive display and timely adjustment.
Design a corrosion data and control platform, including a corrosion big data management module, a risk assessment module, a corrosion prediction module, and an overall corrosion control module, to realize automated data collection and management, build corrosion rate and wall thickness prediction models, provide intelligent corrosion inhibitor dosing function, and support real-time monitoring and decision-making.
It enables centralized and unified management of corrosion data, improves data timeliness and collection efficiency, solves the problems of blind spots in corrosion monitoring and delayed decision-making, provides remote injection status monitoring and intelligent injection functions, and improves corrosion protection efficiency.
Smart Images
Figure CN119468084B_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of corrosion information technology, and specifically relates to a corrosion data and control platform. Background Technology
[0002] Corrosion-induced pipeline perforation and natural gas leaks are frequent safety issues during natural gas field development. According to existing reports, approximately 30% of natural gas pipeline accidents are directly or indirectly caused by corrosion. To improve corrosion control capabilities, research on corrosion data monitoring and data mining is being conducted. However, during the implementation of corrosion control measures, numerous problems have been identified in the collection, processing, and application of massive amounts of corrosion data, severely restricting the response speed and effectiveness of on-site corrosion control.
[0003] First, in terms of corrosion data monitoring, data collection largely relies on manual methods, resulting in low collection efficiency, easy data loss, and isolated, singular corrosion data, often existing as data silos, with historical data largely left unused. Second, regarding data processing, some traditional corrosion prediction studies are based on historical experience, which suffers from strong subjectivity and an inability to objectively and quantitatively predict corrosion development trends. Other studies are driven by corrosion data and use mathematical regression methods, which suffer from low accuracy, poor reliability, and weak guidance for on-site production, maintenance, and repair. Third, in terms of decision support, on-site corrosion risks cannot be displayed in real time, leading to delayed decision-making. Most repairs are reactive and reactive, unable to monitor on-site chemical dosing in real time or adjust dosing procedures in a timely manner, and lacking a direct visual representation of the corrosion status of the monitored objects. Summary of the Invention
[0004] To address the aforementioned problems, the present invention adopts the following technical solution: a corrosion data and control platform, the platform comprising 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 connect the data interface of the corrosion business system; the risk assessment module is used to calculate risk assessment values based on the operating data of the site and pipeline; 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 input or update management of corrosion control information; and 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 manages pipeline and site data; the detection data management unit manages detection data; the monitoring data management unit records data from corrosion probes, flexible ultrasonic sensors, ultrasonic point measurements, corrosion-resistant pads, hydrogen flux, sand monitoring, and visual inspections; the corrosion failure data unit acquires and analyzes pipeline and site failure data; the indoor experimental data management unit records corrosion rates, stress corrosion, and chemical analysis; and the corrosion data report unit records data from corrosion-resistant pads, probes, and ultrasonic point measurements.
[0006] Furthermore, pipeline data management includes pipeline static data management, pipeline elevation and mileage data, and pipeline dynamic data configuration; site data management includes site static data management, corrosion loop documentation, and site dynamic data configuration.
[0007] The corrosion probe includes basic probe data, the flexible ultrasound includes basic flexible ultrasound data, the ultrasonic fixed-point measurement includes ultrasonic fixed-point thickness measurement records, the hydrogen flux includes hydrogen flux records, and the sand monitoring includes sand and gravel monitoring records.
[0008] The corrosion rate includes original records of electrochemical corrosion tests, original records of indoor plate corrosion rate tests, original records of high-pressure corrosion rate tests, original records of atmospheric pressure corrosion rate evaluation, and original records of metal pitting corrosion tests. The stress corrosion includes original records of metal resistance to hydrogen-induced cracking tests, three-point bending test records, four-point bending test records, C-ring test records, and uniaxial loading tensile test records. The chemical analysis includes 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 station assessment unit; the pipeline assessment unit is used to assess pipeline risks and record the pipeline risk assessment results; the station assessment unit is used to assess station risks and record the station 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 corrosion rate.
[0011] Furthermore, the overall corrosion control module includes a material selection unit, a corrosion inhibitor intelligent injection unit, a cathodic protection unit, a pipeline cleaning unit, and a material failure database unit. The material selection unit is used to select internally coated ground pipelines, internally coated oil casing pipes, internally lined corrosion-resistant alloy-bimetallic pipes, and corrosion-resistant alloy composite pipes. The corrosion inhibitor intelligent injection unit is used to manage corrosion inhibitor injection schemes, corrosion inhibitor implementation status, and corrosion inhibitor injection effects. The cathodic protection unit is used to manage cathodic protection records. The pipeline cleaning unit is used for pipeline cleaning records and reports. The material failure database unit is used to manage site failure data.
[0012] Furthermore, the intelligent corrosion inhibitor dispensing 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 dispensing equipment and configure the basic information of the dispensing equipment; the data monitoring subunit is used to remotely collect parameters and provide early warnings of equipment failures; the intelligent decision-making subunit is used to establish an intelligent dispensing strategy based on real-time operating data and corrosion control effects; and the remote control subunit is used to remotely control the operation of the dispensing equipment.
[0013] Furthermore, 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 the displayed liquid level curve, filling pressure curve, filling motor frequency curve, stirring motor and filling motor status; the operating status of the filling equipment includes the start-up and shutdown of the filling equipment, setting the stirring time for each stirring time and the interval between each stirring time, and setting the filling volume.
[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 composition of departments, the division of departmental levels, and the data ownership units; the user role management unit is used to control the operation permissions in the system; and the data permission management unit is used to control the scope of data resources that the logged-in user or operator can view.
[0015] Furthermore, the platform interface design of the corrosion data and control platform includes internal interfaces and external services. The internal interfaces are used to provide interfaces for internal systems to access real-time data and reports; the external services are used to publish services through the service bus and provide them to other external systems for invocation.
[0016] The corrosion data and control platform designed in this invention automates data acquisition, ensuring data timeliness. It structures various types of corrosion data, including site foundation data, pipeline foundation data, monitoring data, corrosion failure data, indoor laboratory data, and corrosion reports, into a database for centralized and unified management. Corrosion data acquisition has been changed from the previous method of driving to the site to remote, automated acquisition, reducing labor costs and driving safety risks.
[0017] Meanwhile, the corrosion prediction module in this corrosion data and control platform possesses functions such as data processing, model building, model verification, and iterative optimization. Based on high-risk corrosion point identification technology, it ensures the rationality, representativeness, and systematic nature of corrosion monitoring point selection, solving the problems of large blind spots, low management efficiency, and delayed decision-making in traditional corrosion monitoring. The intelligent corrosion inhibitor dosing unit enables remote dosing status monitoring and remote dosing adjustment, providing new means for the implementation and evaluation of corrosion control measures. In addition, the platform provides automatic analysis and calculation functions, reducing the tedious data sorting and statistical workload of grassroots personnel, saving time and human resources.
[0018] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention will be realized and obtained from the description and the drawings. Attached Figure Description
[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0020] Figure 1 This is a schematic diagram of a corrosion data and control platform according to an embodiment of the present invention;
[0021] Figure 2 This is a schematic diagram of the risk assessment module model in an embodiment of the present invention. Detailed Implementation
[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort 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 upgrade the corrosion business system from an offline mode to an online mode and to connect the data interfaces of the corrosion business system. The risk assessment module is used to calculate risk assessment values based on the working data of the site and pipeline. 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 input or update management of corrosion control information. The system management module is used to realize the management of corrosion data and the control platform.
[0024] For the corrosion big data management module, the corrosion data collection process has been upgraded from the traditional offline model to an online model. Data interfaces with the main data system, production real-time data system, and other business systems have been integrated to achieve automatic acquisition of some production and basic data. Traditional offline data collection mainly includes basic data of site pipelines, corrosion failure data, and refueling plan data, primarily collected manually offline, cleaned, restructured, and stored. Online data collection mainly includes corrosion detection data, corrosion monitoring data, and ultrasonic data. The business system uses standard protocol API interfaces (Application Programming Interfaces) to collect and transmit data. Detection data from the production network is collected and transmitted to the office network through secure isolation. Data integration and related system integration are implemented on the office network and made accessible to unit users. During data preparation, a full synchronization from the main data system is performed through SOA (Service-Oriented Architecture) interfaces and imported into 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, a laboratory experimental data management unit, a corrosion data report unit, and a corrosion standard unit. The basic data management unit manages pipeline and site data. The detection data management unit manages detection data. The monitoring data management unit records data from corrosion probes, flexible ultrasonic testing, ultrasonic point measurement, corrosion-resistant pads, hydrogen flux, sand monitoring, and visual inspections. The corrosion failure data unit acquires and analyzes pipeline and site failure data. The laboratory experimental data management unit records corrosion rates, stress corrosion, and chemical analysis. The corrosion data report unit records data from corrosion-resistant pads, probes, and ultrasonic point measurements.
[0026] Pipeline data management includes pipeline static data management, pipeline elevation and mileage data, and pipeline dynamic data configuration; site data management includes site static data management, corrosion loop archiving, and site dynamic data configuration; the corrosion probe includes basic probe data; the flexible ultrasonic probe includes basic flexible ultrasonic data; the ultrasonic fixed-point measurement includes ultrasonic fixed-point thickness measurement records; the hydrogen flux measurement includes hydrogen flux records; the sand monitoring includes sand and gravel monitoring records; the corrosion rate measurement includes original records of electrochemical corrosion tests, original records of indoor strip corrosion rate tests, original records of high-pressure corrosion rate tests, original records of atmospheric pressure corrosion rate evaluation, and original records of metal pitting corrosion tests; the stress corrosion measurement includes original records of metal resistance to hydrogen-induced cracking tests, three-point bending test records, four-point bending test records, C-ring test records, and uniaxial loading tensile test records; and the chemical analysis includes original records of corrosion inhibitor residual concentration determination and iron content determination records.
[0027] Regarding the risk assessment module, the platform's risk assessment function is based on ICDA (pipeline) and RBI (site) methods, comprehensively considering key corrosion influencing factors such as equipment material, corrosion rate, gas molecular weight, and operating pressure. 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 the pipeline risk assessment results; the site assessment unit is used to assess site risks and record the site 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 objects. The corrosion prediction module has functions such as data processing, model construction, model verification, and iterative optimization, providing effective support for corrosion rate calculation. 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 multiplied by the anti-corrosion measure coefficient and the historically accumulated predicted wall thickness loss, corrosion rate and wall thickness loss serve as the basis for ranking corrosion risks along the pipeline. In wet gas pipelines, the location of slug flow, the location of liquid accumulation and contaminant deposition, and welds also determine the corrosion distribution and are high-risk locations for internal corrosion. However, these factors cannot be quantitatively correlated with the corrosion rate and need to be used as supplementary criteria for ranking internal corrosion risks. A comprehensive ranking of the relative severity of internal corrosion along the pipeline is achieved by considering six criteria: flow pattern at each pipeline node, liquid holdup, corrosion rate, probability of liquid accumulation, cumulative wall thickness loss, and presence of welds. This identifies relatively severe corrosion areas. For example, the criteria for high-risk internal corrosion points are: slug flow at the pipeline node; average liquid holdup in the top 10; average corrosion rate in each section in the top 10; probability of liquid accumulation of 1; cumulative wall thickness loss in the top 10; and presence of welds. The number of times a single factor of the above six parameters is considered a "high-risk point" is determined. Then, using a comprehensive ranking method, based on the statistical information of recommended "high-risk points" for each pipeline, the relative severity of corrosion along the pipeline is ranked from highest to lowest frequency of "high-risk points." If the frequency of "high-risk points" is equal, the ranking is based on the magnitude of "cumulative wall thickness loss." In this embodiment of the invention, such as... Figure 2 The image shows a 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 six discrimination parameters: flow pattern of pipeline nodes, liquid holdup, corrosion rate, probability of liquid accumulation, cumulative wall thickness loss, and presence of welds, respectively. The shaded area in the upper right corner of the figure represents high risk, the blank area in the middle represents medium risk, and the shaded area in the lower left corner represents low risk.
[0030] The overall corrosion control module includes a material selection unit, a corrosion inhibitor intelligent dosing unit, a cathodic protection unit, a pipeline cleaning unit, and a material failure database unit. The material selection unit selects internally coated ground pipelines, internally coated oil casing pipes, internally lined corrosion-resistant alloy-bimetallic pipes, and corrosion-resistant alloy composite pipes. The intelligent corrosion inhibitor dosing unit manages corrosion inhibitor dosing plans, implementation status, and dosing effects. The cathodic protection unit manages cathodic protection records. The pipeline cleaning unit generates pipeline cleaning records and reports. The overall corrosion control module also includes other chemical dosing units for adding bactericides and other chemicals (such as scale inhibitors and bactericides). Taking the intelligent corrosion inhibitor dosing unit as an example, this corrosion data and control platform not only enables online monitoring of the implementation of anti-corrosion measures in various units but also achieves intelligent chemical dosing.
[0031] The intelligent corrosion inhibitor dosing unit comprises sub-units for parameter setting, data monitoring, intelligent decision-making, and remote control. The parameter setting sub-unit is used for the dosing equipment management page, adding new dosing equipment, and configuring basic dosing equipment information, including the equipment installation address, equipment control number, equipment request address, equipment warning contact person, and contact number. The data monitoring sub-unit is used for remote parameter acquisition, visually displaying liquid level curves, dosing pressure curves, dosing motor frequency curves, and the status of the stirring motor and dosing motor for easy monitoring; real-time viewing allows viewing of the current dosing pressure, dosing volume, equipment operating status, liquid level, and other parameters; equipment warnings, for situations such as equipment shutdown, data disconnection, and low liquid level, display detailed warning information and send it to the warning recipient via SMS. The intelligent decision-making sub-unit is developed based on real-time operating data and corrosion control effect characterization indicators. Through the construction of an integrated model of on-site production conditions, it analyzes the relationship between water production, SRB (sulfate-reducing bacteria) content, and corrosion rate, forming a correlation algorithm for agent dosing volume based on corrosion control effect characterization indicators. Through the on-site data acquisition and integration module, an intelligent filling strategy based on real-time operating data and corrosion control effects is established. The remote control subunit is used to realize remote control functions such as starting and stopping the filling equipment, setting the stirring time and interval for each stirring time for the stirring motor, setting the filling amount (the filling amount is set directly on the control page; the corrosion inhibitor filling amount needs to be dynamically adjusted according to production data, SRB concentration, corrosion rate and other indicators to establish a correlation algorithm model for the filling amount to obtain the corrosion inhibitor filling amount), and disabling or enabling the filling port.
[0032] The intelligent corrosion inhibitor injection unit meets the "one platform, multiple wellheads" requirement of shale gas platform wells. The intelligent injection equipment realizes the "one-to-many" injection management mode, enabling real-time data acquisition and remote monitoring, all-weather monitoring and tracking with real-time adjustment of the optimal control system, establishment of a set of intelligent chemical agent decision-making, and realization of intelligent management of business data assets.
[0033] 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 composition of departments, the division of departmental levels, and the data ownership unit. The user role management unit is used to control the operation permissions in the system, and the operation permissions can be user groups with certain permissions. The data permission management unit is used to control the range of data resources that the logged-in user or operator can view.
[0034] In this embodiment of the invention, the corrosion data and control platform is built on hardware based on a database server, an application server, and a data exchange server. The software is built on components such as a Windows operating system, a MySQL database server (5.0 or later), an Apache Tomcat application server (8.0 or later), a JDK 1.8 environment, ODBC (Open Database Connectivity), JDBC (Java Database Connectivity), OLEDB (Organizational Programming Interface), and Redis 3.2 or later caching services. The interface design of this corrosion data and control platform is mainly divided into two parts: an internal interface, providing interfaces for internal systems to access real-time data and reports; and an external service, which can be published as a Web Service through IBM ESB (Enterprise Service Bus) for other external systems to call.
[0035] In summary, the corrosion data and control platform designed in this invention automates data acquisition, ensuring data timeliness. It structures various corrosion data, including site foundation data, pipeline foundation data, monitoring data, corrosion failure data, indoor laboratory data, and corrosion reports, into a database for centralized and unified management. Corrosion data collection has been changed from the previous method of driving to the site to remote automatic collection, reducing labor costs and driving safety risks. Simultaneously, 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 resources. Based on high-risk corrosion point identification technology, it ensures the rationality, representativeness, and systematic nature of corrosion monitoring point selection, solving the problems of large blind spots, low management efficiency of corrosion protection, and delayed decision-making in traditional corrosion monitoring. The intelligent corrosion inhibitor dosing unit enables remote dosing status monitoring and remote dosing adjustment, providing new means for the implementation and evaluation of corrosion control measures.
[0036] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to 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 connect the data interface of the corrosion business system. The module includes a basic data management unit, an indoor experimental data management unit, and a corrosion data reporting unit. The basic data management unit manages field data, including static data management, corrosion circuit archiving, and dynamic data configuration. The indoor experimental data management unit records corrosion rates, stress corrosion, and chemical analysis. The corrosion data reporting unit records corrosion sample, probe data, and ultrasonic point-based measurements. The corrosion rate includes original records of electrochemical corrosion tests, original records of indoor plate corrosion rate tests, original records of high-pressure corrosion rate tests, original records of atmospheric pressure corrosion rate evaluation, and original records of metal pitting corrosion tests. The stress corrosion includes original records of metal resistance to hydrogen-induced cracking tests, three-point bending test records, four-point bending test records, C-ring test records, and uniaxial loading tensile test records. The chemical analysis includes original records of corrosion inhibitor residual concentration determination and iron content determination records. The risk assessment module is used to calculate risk assessment values based on the operating data of the site and pipeline; wherein, the risk assessment module includes a site assessment unit, which is used to assess the site risk and record the site risk assessment results; The corrosion prediction module includes a wall thickness prediction unit and a rate prediction unit, which are used to calculate the corrosion rate of the experimental object based on the corrosion rate prediction unit and the wall thickness prediction unit. The wall thickness prediction unit is used to predict wall thickness loss, and the rate prediction unit is used to predict corrosion rate. Corrosion rate and wall thickness loss are used as the basis for ranking corrosion risks along the pipeline. Six discrimination parameters are considered for each pipeline node: flow pattern, liquid holdup, corrosion rate, probability of liquid accumulation, cumulative wall thickness loss, and presence of welds. These parameters are used to comprehensively rank the relative severity of corrosion along the pipeline and identify relatively severe corrosion areas. The discrimination parameters for high-risk internal corrosion points are: slug flow pattern at the pipeline node; average liquid holdup in the top 10; average corrosion rate in each section in the top 10; probability of liquid accumulation of 1; cumulative wall thickness loss in the top 10; and presence of welds. The number of times each of the above six parameters is considered a "high-risk point" is determined. Then, using a comprehensive ranking method, based on the statistical information of recommended "high-risk points" for each pipeline, the relative severity of corrosion along the pipeline is ranked from highest to lowest number of "high-risk points". If the number of "high-risk points" is equal, the ranking is based on the magnitude of "cumulative wall thickness loss". The overall corrosion control module is used to input or update corrosion control information; the overall corrosion control module includes a material selection unit, a cathodic protection unit, and an intelligent corrosion inhibitor dosing unit, wherein... The material selection unit is used to select internally coated ground pipelines, internally coated oil casings, internally lined corrosion-resistant alloy-bimetallic pipes, and corrosion-resistant alloy composite pipes. The cathode protection unit is used to manage the cathode protection ledger; The intelligent corrosion inhibitor dosing unit includes an intelligent decision-making subunit, which is used to establish an intelligent dosing strategy based on real-time operating data and corrosion control effect. The strategy is developed based on real-time operating 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 content, and corrosion rate is analyzed to form an agent dosing correlation algorithm based on corrosion control effect characterization indicators. The system management module is used to manage corrosion data and the control platform.
2. The corrosion data and control platform according to claim 1, characterized in that, The corrosion big data management module also includes a detection data management unit, a monitoring data management unit, and a corrosion failure data unit; The basic data management unit is also used to manage pipeline data; The detection data management unit is used to manage the detection data; The monitoring data management unit is used to record data on corrosion probes, flexible ultrasonic waves, ultrasonic point measurements, corrosion-resistant pad foundations, hydrogen flux, sand monitoring, and visual inspections. The corrosion failure data unit is used to acquire pipeline failure data and station failure data, and to analyze the pipeline failure data and station failure data.
3. The corrosion data and control platform according to claim 2, characterized in that, Pipeline data management includes pipeline static data management, pipeline elevation and mileage data, and pipeline dynamic data configuration; The corrosion probe includes basic probe data, the flexible ultrasound includes basic flexible ultrasound data, the ultrasonic fixed-point measurement includes ultrasonic fixed-point thickness measurement records, the hydrogen flux includes hydrogen flux records, and the sand monitoring includes sand and gravel monitoring 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 station assessment unit; The pipeline assessment unit is used to assess pipeline risks and record the pipeline risk assessment results.
5. The corrosion data and control platform according to claim 4, characterized in that, The corrosion prediction module also includes a big data model unit; The big data model unit is used to collect and organize corrosion data.
6. The corrosion data and control platform according to claim 5, characterized in that, The overall corrosion control module also includes a pipeline cleaning unit and a material failure storage unit; The intelligent corrosion inhibitor dispensing unit is used to manage the corrosion inhibitor dispensing plan, corrosion inhibitor execution status, and corrosion inhibitor dispensing effect; The cleaning unit is used for cleaning ledgers 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 intelligent corrosion inhibitor dispensing unit also includes a parameter setting subunit, a data monitoring subunit, and a remote control subunit; The parameter setting subunit is used to add new filling devices and configure the basic information of the filling devices. The data monitoring subunit is used to remotely collect parameters and provide early warning of equipment failures. The remote control subunit is used to remotely control the operation of the refueling equipment.
8. A corrosion data and control platform according to claim 7, characterized in that, The basic information of the refueling equipment includes the equipment installation address, equipment control number, equipment request address, equipment early warning contact person and contact number; The parameters include the display liquid level curve, the injection pressure curve, the injection motor frequency curve, and the status of the stirring motor and the injection motor. The operation status of the filling equipment includes starting and stopping the filling equipment, setting the stirring time for each stirring time and the interval between each stirring time, and setting the filling volume.
9. A corrosion data and control platform according to any one of claims 6-8, characterized in that, 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 composition of departments, the division of departmental levels, and the data ownership units. The user role management unit is used to control operational permissions in the system. The data access control unit is used to control the range of data resources that a user or operator can view.
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 internal interfaces and external services. The internal interfaces are used to provide internal systems with access to real-time data and reports. The external services are used to publish services through the service bus and provide them to other external systems for invocation.