Flexible pipe cable intelligent operation and maintenance method based on self-sensing accessory device and software platform

Abstract

The invention discloses a flexible pipe cable intelligent operation and maintenance method based on a self-sensing accessory device and a software platform, and relates to the technical field of flexible pipe cables, and the method comprises the steps that a self-sensing accessory module senses the state of a dangerous position through different types of sensors; the data acquisition and storage module acquires signals of all sensors into digital signals, classifies and stores the digital signals, and establishes a state database; the visualization module carries out anomaly detection through a recognition algorithm, data of the data acquisition and storage module is imaged, and an anomaly detection result is stored in the data acquisition and storage module; and the intelligent prediction module extracts data from the data acquisition and storage module, preprocesses the data, inputs the preprocessed data and public sea condition data into a trained intelligent prediction model, predicts state information of the flexible pipe cable and accessories, and outputs the state information to the visualization module for display. The method can accurately monitor the data abnormity of the key position point, and achieves the functions of life prediction and operation and maintenance decision making in combination with the actual marine environment data.

Description

Technical Field

[0001] The present invention relates to the field of flexible pipe and cable technology, in particular to the field of intelligent operation and maintenance technology of flexible pipe and cable structures with a large aspect ratio, and more specifically to an intelligent operation and maintenance method and software platform for flexible pipe and cable based on self-sensing attachments. Background Art

[0002] Flexible ducts and cables, characterized by their high slenderness, are often subject to environmental loads during engineering applications, leading to structural failure. For example, offshore equipment such as flexible marine pipelines, umbilical cables, and dynamic cables operating in marine environments are often subject to loads influenced by changes in sea conditions, temperature, and the transport medium, resulting in complex motion responses. Without regular inspection and effective maintenance, these ducts and cables can suffer damage and reduce their fatigue life. Structural failure can result in severe environmental pollution and economic losses.

[0003] To ensure the safety of marine flexible cables while in place, regular inspections of hazardous locations on flexible cables are required, and operational decisions must be made based on the inspection results. Traditional flexible cable inspection methods include temporary underwater structural exploration and distributed fiber optic monitoring based on flexible cables. Temporary underwater structural exploration can only be carried out when sea conditions are mild, and can usually only perform integrity checks on the flexible cable system. It is difficult to determine the operating status and structural damage assessment of flexible cables under harsh sea conditions. In addition, the distributed fiber optic detection method has disadvantages such as low resolution and a single monitoring signal. Its ability to perceive the operating status of local hazardous locations of flexible cables is weak, making it difficult to provide key data support for flexible cable operation and maintenance decisions.

[0004] Therefore, how to solve the above problems, realize the status assessment of the flexible pipe and cable system, and then realize functions such as life prediction and operation and maintenance decision-making is a technical problem that technical personnel in this field urgently need to solve. Summary of the Invention

[0005] In view of this, the present invention provides a flexible pipe and cable intelligent operation and maintenance method and software platform based on self-sensing attachment devices, which solves the problems existing in the background technology.

[0006] In order to achieve the above object, the present invention provides the following technical solutions: A flexible pipe and cable intelligent operation and maintenance software platform based on a self-sensing accessory device includes a self-sensing accessory module, a data acquisition and storage module, a visualization module, and an intelligent prediction module connected in sequence, wherein the intelligent prediction module is connected to the data acquisition and storage module; The self-sensing accessory module is installed in the dangerous position of the flexible cable and follows the flexible cable to respond to environmental loads and operating conditions through force and motion. It is used to sense the status of the dangerous position through different types of sensors; The data acquisition and storage module is used to collect the signals of each sensor into digital signals and classify and process them and store them to establish a status database; A visualization module is used to perform anomaly detection through a recognition algorithm, graph the data from the data acquisition and storage module, and store the anomaly detection results in the data acquisition and storage module; The intelligent prediction module is used to extract and pre-process data from the data acquisition and storage module, input the pre-processed data and public sea state data into the trained intelligent prediction model, predict the status information of the flexible cable and accessories, and output it to the visualization module for display; The data acquisition and storage module includes a data acquisition submodule, a data communication submodule, and a data storage submodule which are centrally arranged on the production platform corresponding to the flexible pipe and cable; The data acquisition submodule is used to unify the signals of various sensors into digital signals; The data communication submodule is used to transmit signals distributed throughout the system to the data storage submodule via wired, Bluetooth or underwater acoustic methods; The data storage submodule is used to accumulate the flexible pipe and cable operating status data through the local hard disk and cloud database.

[0007] Optionally, the self-sensing accessory module includes an embedded sensor submodule, an accessory structure submodule, and a power supply submodule distributed at various dangerous locations of the flexible pipe and cable; Embedded sensor submodule for accessory status awareness through integrated sensors that can collect different data; The accessory structure submodule is used to provide collection points and fixed interfaces for the integrated sensor while ensuring functionality; The power supply submodule is used to power the self-sensing accessory module through a self-capacitive battery or wired power supply.

[0008] Optionally, during the wired signal transmission process, the data acquisition submodule supplies power to the self-sensing accessory module through Power over Ethernet.

[0009] Optionally, the visualization module includes a system anomaly detection submodule, an accessory status display submodule, and a flexible pipe and cable status display submodule centrally arranged in the production control room; System anomaly detection submodule, used to check whether the status parameters of accessories and submarine cables are within the design range, and store abnormal status information in the status database; The accessory's own state display submodule is used to display the accessory's motion state and force state; The flexible pipe and cable status display submodule is used to display the motion status and stress status of the flexible pipe and cable.

[0010] Optionally, the intelligent prediction module includes a data preprocessing submodule, a sea state data submodule, and an intelligent prediction model submodule centrally arranged in the intelligent prediction server; The data preprocessing submodule is used to filter out representative status data from the status database to display the motion status and stress status of the flexible cable; The sea state data submodule is used to access historical sea state data and sea state forecast data from the public data platform; The intelligent prediction model submodule is used to train the intelligent model based on the existing design parameters to predict the state information and output the prediction results to the visualization module.

[0011] Optionally, sensor types include: acceleration sensor, inclination sensor, tension sensor, bending moment sensor, and temperature sensor.

[0012] A method for intelligent operation and maintenance of flexible pipes and cables based on self-sensing accessory devices, applied to any of the above-mentioned intelligent operation and maintenance software platforms for flexible pipes and cables based on self-sensing accessory devices, comprises the following steps: The self-sensing accessory module is installed in the dangerous position of the flexible pipe and cable. It responds to the force and movement of the environmental load and operating conditions together with the flexible pipe and cable, and senses the status of the dangerous position through different types of sensors. The data acquisition and storage module collects the signals of each sensor into digital signals, classifies them, processes them and stores them, and establishes a status database; The visualization module performs anomaly detection through recognition algorithms and displays the data stored in the status database and anomaly detection results in real time on a graphical interface; The intelligent prediction module extracts data from the data acquisition and storage module and preprocesses it. The preprocessed data and public sea condition data are input into the trained intelligent prediction model to predict the status information of flexible cables and accessories and output it to the visualization module for display, thereby completing life assessment and operation and maintenance decisions.

[0013] As can be seen from the above technical solutions, compared with the prior art, the present invention provides a flexible pipe and cable intelligent operation and maintenance method and software platform based on self-sensing attachments, which has the following beneficial effects: (1) The present invention can monitor multiple status parameters of specific dangerous locations of flexible pipes and cables in real time, thus realizing effective perception of the daily status of flexible pipes and cables; (2) The present invention can collect and integrate sensory data distributed at different locations, and form a database in the form of local and cloud, so as to accumulate the operating status data of flexible pipes and cables; (3) The present invention can detect abnormalities in dangerous positions of the flexible duct and cable system and visualize the operating status of each part in real time, thus realizing daily central control management of the flexible duct and cable; (4) Compared with the traditional inspection method, the operation and maintenance method and software platform established by the present invention can collect and evaluate the overall operating status of the marine flexible cable system in real time, accurately monitor data anomalies at key locations, and realize functions such as life assessment and operation and maintenance decision recommendations by combining actual marine environmental data. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] 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 merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0015] Figure 1 This is an integrated framework diagram of the flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachments provided by the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only 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 making creative efforts are within the scope of protection of the present invention.

[0017] With the widespread application of marine flexible duct and cable structures in offshore oil and gas, offshore wind power, and other fields, the engineering operation and maintenance of marine flexible duct and cable systems is directly related to the development progress and engineering safety of marine projects. However, traditional inspection methods in existing flexible duct and cable systems have problems such as "difficulty in sensing the operating status under harsh sea conditions and insufficient data support for operation and maintenance decision-making." This makes it difficult to accurately monitor the health status of marine flexible duct and cable structures and predict their structural fatigue life, leading to serious safety hazards. Some fiber-optic monitoring methods also have problems such as "large amounts of sensing data, difficult fiber layout, and high fiber failure rates." These methods have low reliability in engineering applications and cannot be mass-produced.

[0018] To this end, the embodiment of the present invention discloses a flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachment devices, such as Figure 1 As shown, it includes a self-sensing attachment module, a data acquisition and storage module, a visualization module and an intelligent prediction module connected in sequence, and the intelligent prediction module is connected to the data acquisition and storage module; The self-sensing accessory module is installed in hazardous locations to protect flexible umbilical cables. It responds to environmental loads and operating conditions along with the umbilical cables, and is used to sense the status of hazardous locations through various sensors. The data acquisition and storage module, as the data center of the platform, is used to collect the signals from various sensors into digital signals, classify and process them, and store them, establishing a status database to provide data support for the entire intelligent platform; The visualization module is used to perform anomaly detection using recognition algorithms such as support vector machines, interact with the data acquisition and storage module through an open visualization software interface, graph the data in the data acquisition and storage module, and store the anomaly detection results in the data acquisition and storage module; The intelligent prediction module is used to extract data from the data acquisition and storage module and pre-process it using filtering, screening and other methods. The pre-processed data and public sea condition data are input into the trained intelligent prediction model to predict the status information of flexible cables and accessories and output it to the visualization module for display.

[0019] based on Figure 1 This embodiment, as shown in the design, establishes an intelligent operation and maintenance software platform based on the auxiliary components of marine flexible umbilical cable systems in actual projects. These auxiliary components are typically deployed during offshore oil and gas or wind power development to protect marine flexible umbilical cables in vulnerable locations. They can provide local reinforcement for the marine flexible umbilical cable structure and are a crucial component of the marine flexible umbilical cable system. This embodiment adds intelligent sensing elements to the auxiliary components, creating intelligent auxiliary components capable of data collection and storage. Through the established database, public data platform, and rapid prediction model, this platform enables status assessment of the flexible umbilical cable system, further enabling functions such as lifespan prediction and operation and maintenance decision-making.

[0020] Furthermore, the self-sensing accessory module includes an embedded sensor submodule, an accessory structure submodule, and a power supply submodule distributed at various dangerous locations of the flexible pipe and cable. The three submodules are spatially integrated into each accessory structure itself, and integrated sensors that collect different data are set as needed. Embedded sensor submodule for accessory status awareness through integrated sensors that can collect different data; The accessory structure submodule is used to provide collection points and fixed interfaces for the integrated sensor while ensuring functionality; The power supply submodule is used to power the self-sensing accessory module through a self-capacitive battery or wired power supply.

[0021] Furthermore, the data acquisition and storage module includes a data acquisition submodule, a data communication submodule, and a data storage submodule centrally arranged on a production platform corresponding to the flexible pipe and cable; wherein the three submodules are interconnected through digital signals; The data acquisition submodule is used to unify the signals of various sensors into digital signals; The data communication submodule is used to transmit signals distributed throughout the system to the data storage submodule via wired, Bluetooth or underwater acoustic methods; The data storage submodule is used to accumulate the flexible pipe and cable operating status data through the local hard disk and cloud database.

[0022] Furthermore, during the wired signal transmission process, the data acquisition submodule supplies power to the self-sensing accessory module through Power over Ethernet (PoE).

[0023] Furthermore, the visualization module includes a system anomaly detection submodule, an accessory status display submodule, and a flexible pipe and cable status display submodule, which are centrally arranged in the production control room, directly providing anomaly detection and visualization of the status of each part for the central control staff on duty; System anomaly detection submodule, used to check whether the status parameters of accessories and submarine cables are within the design range, and store abnormal status information in the status database; The accessory's own state display submodule is used to display the accessory's motion state and force state; The flexible pipe and cable status display submodule is used to display the motion status and stress status of the flexible pipe and cable.

[0024] Furthermore, the intelligent prediction module includes a data pre-processing submodule, a sea state data submodule, and an intelligent prediction model submodule that are centrally arranged in an intelligent prediction server, which can communicate with other locations of the platform via the Internet in a remote data center; The data preprocessing submodule is used to filter out representative status data from the status database to display the motion status and stress status of the flexible cable; The sea state data submodule is used to access historical sea state data and sea state forecast data from the public data platform; The intelligent prediction model submodule is used to train the intelligent model based on the existing design parameters to predict the state information and output the prediction results to the visualization module.

[0025] Furthermore, sensor types include: acceleration sensors, inclination sensors, tension sensors, bending moment sensors, temperature sensors and other types of sensors, which can be selected as needed.

[0026] This embodiment also discloses a flexible pipe and cable intelligent operation and maintenance method based on a self-sensing attachment device, comprising the following steps: The self-sensing accessory module is installed in the dangerous position of the flexible pipe and cable. It responds to the force and movement of the environmental load and operating conditions together with the flexible pipe and cable, and senses the status of the dangerous position through different types of sensors. The data acquisition and storage module collects the signals of each sensor into digital signals, classifies them, processes them and stores them, and establishes a status database; The visualization module performs anomaly detection through recognition algorithms and displays the data stored in the status database and anomaly detection results in real time on a graphical interface; The intelligent prediction module extracts data from the data acquisition and storage module and preprocesses it. The preprocessed data and public sea condition data are input into the trained intelligent prediction model to predict the status information of flexible cables and accessories and output it to the visualization module for display, thereby completing life assessment and operation and maintenance decisions.

[0027] Next, we will further understand the technical solution protected by the present invention through a specific example, specifically: 1) The self-sensing accessory module consists of a submarine cable end connector, which is equipped with a tension sensor, bending moment sensor, acceleration sensor, and temperature sensor. These sensors are integrated in the middle of the connector and powered by wires. 2) The data acquisition and storage module collects the sensor signals into digital signals through the 4-wire full-bridge analog signal and the data acquisition card, and then transmits the signals to the hard disk of the data acquisition and storage module in a wired manner through the 485 serial port protocol for storage; 3) In the visualization module, the collected tension is used to determine whether the stress on the flexible cable end is abnormal. The temperature is used to determine whether the external environment conditions and the heat dissipation during the flexible cable transportation process are normal. The bending moment and acceleration are used to determine whether the connection device structure itself is normal. The data stored in the status database and the abnormality detection results are then displayed in real time on a graphical interface for control personnel to review. 4) The intelligent prediction module pre-processes the tension, bending moment, and acceleration data extracted from the data acquisition and storage module using the Kalman filter method, and inputs them into the trained intelligent prediction model along with the wind direction and speed and current direction and velocity in the public sea condition data. It predicts the maximum curvature of the flexible cable and the maximum stress of the connection device, outputs the prediction results to the visualization module for display, and performs life assessment and operation and maintenance decisions based on the stress and curvature results in the future working cycle.

[0028] In summary, this embodiment discloses the specific steps of the intelligent operation and maintenance method for flexible pipes and cables based on self-sensing auxiliary devices and the specific structural settings of the software platform. It can realize real-time and effective monitoring of dangerous locations of flexible pipes and cables, and on this basis, perform data accumulation, anomaly detection and visualization, and ultimately provide support for life assessment and operation and maintenance decision-making through intelligent methods.

[0029] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. The methods disclosed in the embodiments are described briefly because they correspond to the systems disclosed in the embodiments. For relevant details, refer to the method description.

[0030] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachments, characterized by: It includes a self-sensing attachment module, a data acquisition and storage module, a visualization module and an intelligent prediction module which are connected in sequence, and the intelligent prediction module is connected to the data acquisition and storage module; The self-sensing accessory module is installed in the dangerous position of the flexible cable and follows the flexible cable to respond to environmental loads and operating conditions through force and motion. It is used to sense the status of the dangerous position through different types of sensors; The data acquisition and storage module is used to collect the signals of each sensor into digital signals and classify and process them and store them to establish a status database; A visualization module is used to perform anomaly detection through a recognition algorithm, graph the data from the data acquisition and storage module, and store the anomaly detection results in the data acquisition and storage module; The intelligent prediction module is used to extract and pre-process data from the data acquisition and storage module, input the pre-processed data and public sea state data into the trained intelligent prediction model, predict the status information of the flexible cable and accessories, and output it to the visualization module for display; The data acquisition and storage module includes a data acquisition submodule, a data communication submodule, and a data storage submodule which are centrally arranged on the production platform corresponding to the flexible pipe and cable; The data acquisition submodule is used to unify the signals of various sensors into digital signals; The data communication submodule is used to transmit signals distributed throughout the system to the data storage submodule via wired, Bluetooth or underwater acoustic methods; The data storage submodule is used to accumulate the flexible pipe and cable operating status data through the local hard disk and cloud database.

2. The flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachment devices according to claim 1 is characterized in that: The self-sensing accessory module includes an embedded sensor submodule, an accessory structure submodule, and a power supply submodule distributed at various dangerous locations of the flexible pipe and cable; Embedded sensor submodule for accessory status awareness through integrated sensors that can collect different data; The accessory structure submodule is used to provide collection points and fixed interfaces for the integrated sensor while ensuring functionality; The power supply submodule is used to power the self-sensing accessory module through a self-capacitive battery or wired power supply.

3. The flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachment devices according to claim 1 is characterized in that: During the wired signal transmission process, the data acquisition submodule supplies power to the self-sensing accessory module through Power over Ethernet.

4. The flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachment devices according to claim 1 is characterized in that: The visualization module includes a system anomaly detection submodule, an accessory status display submodule, and a flexible pipe and cable status display submodule, all of which are centrally located in the production control room. System anomaly detection submodule, used to check whether the status parameters of accessories and submarine cables are within the design range, and store abnormal status information in the status database; The accessory's own state display submodule is used to display the accessory's motion state and force state; The flexible pipe and cable status display submodule is used to display the motion status and stress status of the flexible pipe and cable.

5. The flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachment devices according to claim 1 is characterized in that: The intelligent prediction module includes a data preprocessing submodule, a sea state data submodule, and an intelligent prediction model submodule, which are centrally arranged in the intelligent prediction server; The data preprocessing submodule is used to filter out representative status data from the status database to display the motion status and stress status of the flexible cable; The sea state data submodule is used to access historical sea state data and sea state forecast data from the public data platform; The intelligent prediction model submodule is used to train the intelligent model based on the existing design parameters to predict the state information and output the prediction results to the visualization module.

6. The flexible pipe and cable intelligent operation and maintenance software platform based on self-sensing attachment devices according to claim 1 is characterized in that: Sensor types include: acceleration sensor, inclination sensor, tension sensor, bending moment sensor, and temperature sensor.

7. A flexible pipe and cable intelligent operation and maintenance method based on self-sensing accessory devices, characterized in that: The flexible pipe and cable intelligent operation and maintenance software platform based on the self-sensing attachment device as described in any one of claims 1 to 6 comprises the following steps: The self-sensing accessory module is installed in the dangerous position of the flexible pipe and cable. It responds to the force and movement of the environmental load and operating conditions together with the flexible pipe and cable, and senses the status of the dangerous position through different types of sensors. The data acquisition and storage module collects the signals of each sensor into digital signals, classifies them, processes them and stores them, and establishes a status database; The visualization module performs anomaly detection through recognition algorithms and displays the data stored in the status database and anomaly detection results in real time on a graphical interface; The intelligent prediction module extracts data from the data acquisition and storage module and preprocesses it. The preprocessed data and public sea condition data are input into the trained intelligent prediction model to predict the status information of flexible cables and accessories and output it to the visualization module for display, thereby completing life assessment and operation and maintenance decisions.

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