Water transportation engineering underwater facility monitoring system based on Internet of Things

Abstract

The invention relates to the field of monitoring of underwater facilities of water transportation engineering, in particular to a monitoring system for underwater facilities of water transportation engineering based on Internet of Things, which realizes real-time monitoring of multiple parameters of the underwater facilities by installing multiple sensor nodes at key parts of the underwater facilities, and can comprehensively and accurately reflect the running state of the underwater facilities. Wireless transmission and remote monitoring of data are realized by using the Internet of Things technology, the geographical limitation of a traditional monitoring system is broken through, and the monitoring efficiency and the management convenience are improved. According to the monitoring data processing module for the underwater facilities of the water transportation project, big data analysis and a machine learning algorithm are used for carrying out deep analysis and state evaluation on the data, potential safety hazards can be found in time, and a powerful guarantee is provided for safe operation of the water transportation project. The intelligent early warning module can send out early warning signals in time when monitoring indexes are abnormal, related personnel are reminded to take measures, and the occurrence risk of engineering accidents is effectively reduced.

Description

Technical Field

[0001] The present invention relates to the field of underwater facility monitoring in water transportation engineering. Specifically, it relates to a monitoring system for underwater facilities in water transportation engineering based on the Internet of Things. Background Technique

[0002] Underwater facilities in water transportation engineering, such as pier foundations, underwater pipelines, and revetment structures, are long-term in complex underwater environments and are affected by various factors such as water flow scouring, wave action, geological changes, and ship collisions. The safety and stability of their structures face severe challenges. Once damage or safety hazards occur in underwater facilities, it will lead to serious engineering accidents, affect the normal operation of water transportation, and even cause casualties and property losses.

[0003] Traditional methods for monitoring underwater facilities mainly rely on manual regular inspections and partial simple sensor monitoring. Manual inspections are not only inefficient, labor-intensive, but also have a long inspection cycle and are difficult to detect safety hazards of facilities in real time. And existing sensor monitoring systems often operate independently, and data cannot be effectively integrated and shared, making it difficult to comprehensively and accurately evaluate the overall state of underwater facilities. In addition, traditional monitoring systems lack remote monitoring and intelligent warning functions, cannot respond to emergencies in a timely manner, and cannot meet the requirements of modern water transportation engineering for efficient and reliable monitoring of underwater facilities. Therefore, we make improvements in this regard and propose a monitoring system for underwater facilities in water transportation engineering based on the Internet of Things. Summary of the Invention

[0004] The purpose of the present invention is to address the problems raised in the existing background technology. To achieve the above-mentioned invention purpose, the present invention provides the following technical solutions: A monitoring system for underwater facilities in water transportation engineering based on the Internet of Things, including an underwater sensor monitoring unit, a data transmission module, a monitoring data processing module for underwater facilities in water transportation engineering, a remote monitoring terminal for underwater facilities in water transportation engineering, and an intelligent warning module; the underwater sensor monitoring unit is installed at key parts of underwater facilities in water transportation engineering for collecting relevant data of underwater facilities; the data transmission module transmits the data collected by the underwater sensor monitoring unit to the monitoring data processing module for underwater facilities in water transportation engineering; the monitoring data processing module for underwater facilities in water transportation engineering analyzes and processes the received data and evaluates the state of underwater facilities; the remote monitoring terminal is connected to the monitoring data processing module for underwater facilities in water transportation engineering for real-time viewing of monitoring data and facility status; the intelligent warning module issues a warning signal when the monitoring indicators are abnormal according to the analysis results of the monitoring data processing module for underwater facilities in water transportation engineering.

[0005] As a preferred technical solution of the present invention, the underwater sensor monitoring unit includes a strain sensor, a displacement sensor, a water pressure sensor, and a water quality sensor; the strain sensor is used to monitor the strain condition of the underwater facility structure; the displacement sensor is used to measure the displacement of the underwater facility; the water pressure sensor is used to measure the water pressure around the underwater facility; the water quality sensor is used to detect the water quality parameters around the underwater facility.

[0006] As a preferred technical solution of the present invention, the underwater sensor monitoring unit has the functions of data acquisition and preliminary processing, and can filter, amplify the collected raw data and convert it into digital signals.

[0007] As a preferred technical solution of the present invention, the data transmission module uses wireless communication technologies, including underwater wireless sensor networks and underwater acoustic communication technologies; in shallow waters, underwater wireless sensor networks are used for data transmission, and data is sent to the surface relay node through multiple routes between nodes; in deep waters, underwater acoustic communication technologies are used for data transmission; the surface relay node sends the received data to the monitoring data processing module of underwater facilities in water transportation engineering on the shore through 4G, 5G or satellite communication methods.

[0008] As a preferred technical solution of the present invention, the monitoring data processing module of underwater facilities in water transportation engineering includes a data storage unit, a data analysis unit, and a status evaluation unit; the data storage unit establishes a database and stores the collected data in categories; the data analysis unit uses big data analysis and machine learning algorithms to mine and analyze the stored data; the status evaluation unit evaluates the overall status of the underwater facility and gives a safety level evaluation according to the data analysis results, combined with the design standards and relevant specifications of the underwater facility.

[0009] As a preferred technical solution of the present invention, the database has the functions of data backup and recovery to ensure the security and integrity of the data.

[0010] As a preferred technical solution of the present invention, the remote monitoring terminal includes a computer and a mobile terminal device, and is connected to the monitoring data processing module of underwater facilities in water transportation engineering through the network; the remote monitoring terminal has a data display function and displays the monitoring data to the user in the form of charts, curves, and maps; the user can also remotely configure and manage the monitoring system through the remote monitoring terminal, including adjusting the sampling frequency of the sensor and setting the warning threshold.

[0011] As a preferred technical solution of the present invention, the intelligent warning module issues a warning signal through text message, email, and APP push methods when a certain monitoring index of the underwater facility exceeds the preset warning threshold according to the data analysis and status evaluation results.

[0012] As a preferred technical solution of the present invention, the intelligent early warning module has an early warning classification function, which is divided into different levels such as level 1 early warning, level 2 early warning, and level 3 early warning according to the severity of the early warning, and different levels adopt different early warning methods and response mechanisms.

[0013] As a preferred technical solution of the present invention, the underwater facilities of the water transportation project include pier foundations, underwater pipelines, and revetment structures.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. By installing a variety of sensor nodes at key parts of the underwater facilities, the present invention realizes real-time monitoring of multiple parameters of the underwater facilities, and can comprehensively and accurately reflect the operation status of the underwater facilities.

[0015] 2. The use of Internet of Things technology realizes wireless transmission and remote monitoring of data, breaks the geographical limitations of traditional monitoring systems, and improves the monitoring efficiency and management convenience.

[0016] 3. The monitoring data processing module of the underwater facilities of the water transportation project uses big data analysis and machine learning algorithms to deeply analyze and evaluate the status of the data, can timely discover potential safety hazards, and provides a strong guarantee for the safe operation of the water transportation project.

[0017] 4. The intelligent early warning module can timely send out early warning signals when the monitoring indicators are abnormal, remind relevant personnel to take measures, and effectively reduce the risk of engineering accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is the system logic block diagram provided by the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] 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 with reference to the accompanying drawings. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention.

[0020] Therefore, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the claimed invention, but merely represents some embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention. It should be noted that, without conflict, the embodiments in the present invention and the features and technical solutions in the embodiments may be combined with each other. It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0021] Embodiment 1: An underwater facility monitoring system for water transportation projects based on the Internet of Things, including an underwater sensor monitoring unit, a data transmission module, a monitoring data processing module for underwater facilities in water transportation projects, a remote monitoring terminal for underwater facilities in water transportation projects, and an intelligent warning module; the underwater sensor monitoring unit is installed at key parts of the underwater facilities in water transportation projects to collect relevant data of the underwater facilities; the data transmission module transmits the data collected by the underwater sensor monitoring unit to the monitoring data processing module for underwater facilities in water transportation projects; the monitoring data processing module for underwater facilities in water transportation projects analyzes and processes the received data and evaluates the status of the underwater facilities; the remote monitoring terminal is connected to the monitoring data processing module for underwater facilities in water transportation projects to view the monitoring data and the facility status in real time; the intelligent warning module issues a warning signal when the monitoring indicators are abnormal according to the analysis results of the monitoring data processing module for underwater facilities in water transportation projects.

[0022] The underwater sensor monitoring unit includes a strain sensor, a displacement sensor, a water pressure sensor, and a water quality sensor; the strain sensor is used to monitor the strain condition of the underwater facility structure; the displacement sensor is used to measure the displacement of the underwater facility; the water pressure sensor is used to measure the water pressure around the underwater facility; the water quality sensor is used to detect the water quality parameters around the underwater facility.

[0023] The underwater sensor monitoring unit has the functions of data acquisition and preliminary processing, and can filter, amplify, and convert the collected raw data into digital signals.

[0024] The data transmission module uses wireless communication technologies, including an underwater wireless sensor network and an underwater acoustic communication technology; in shallow waters, the underwater wireless sensor network is used for data transmission, and data is sent to the surface relay node through multiple routes between nodes; in deep waters, the underwater acoustic communication technology is used for data transmission; the surface relay node sends the received data to the monitoring data processing module for underwater facilities in water transportation projects on the shore through 4G, 5G, or satellite communication.

[0025] The monitoring data processing module for underwater facilities in water transportation projects includes a data storage unit, a data analysis unit, and a status evaluation unit; the data storage unit establishes a database to classify and store the collected data; the data analysis unit uses big data analysis and machine learning algorithms to mine and analyze the stored data; the status evaluation unit evaluates the overall status of the underwater facilities and gives a safety level evaluation according to the analysis results in combination with the design standards and relevant specifications of the underwater facilities.

[0026] The database has the functions of data backup and recovery to ensure the security and integrity of the data.

[0027] The remote monitoring terminal includes a computer and a mobile terminal device, which are connected to the monitoring data processing module of underwater facilities in water transportation projects through the network. The remote monitoring terminal has a data display function, which presents the monitoring data to users in the form of charts, curves, and maps. Users can also remotely configure and manage the monitoring system through the remote monitoring terminal, including adjusting the sampling frequency of sensors and setting warning thresholds.

[0028] Based on the data analysis and status evaluation results, when a certain monitoring index of the underwater facility exceeds the preset warning threshold, the intelligent warning module sends a warning signal through text messages, emails, and APP push methods.

[0029] The intelligent warning module has a warning classification function. According to the severity of the warning, it is divided into different levels such as level-1 warning, level-2 warning, and level-3 warning. Different levels adopt different warning methods and response mechanisms.

[0030] The underwater facilities in water transportation projects include bridge pier foundations, underwater pipelines, and revetment structures.

[0031] Introduction to the working principle of the underwater facility monitoring system for water transportation projects based on the Internet of Things:

[0032] Data acquisition stage

[0033] The underwater sensor monitoring unit is installed at key parts of the underwater facilities in water transportation projects (such as bridge pier foundations, underwater pipelines, and revetment structures), and undertakes the important task of collecting relevant data. This node contains various types of sensors:

[0034] Strain sensor: Real-time monitoring of the strain of the underwater facility structure. Due to the long-term influence of water flow scouring, wave impact, and geological changes on underwater facilities, stress will be generated inside the structure. The strain sensor obtains information on whether the facility structure is in a normal stress state by measuring the surface strain changes of the structure caused by these stresses.

[0035] Displacement sensor: Precise measurement of the displacement of underwater facilities, covering horizontal displacement and vertical displacement. For bridge pier foundations, the occurrence of displacement means the settlement or inclination of the foundation; for underwater pipelines, displacement implies the deformation or displacement of the pipeline. The displacement sensor captures these changes in a timely manner.

[0036] Water pressure sensor: Measuring the water pressure around the underwater facility. The abnormal change of water pressure is related to factors such as the water flow situation around the facility and the structural change of the facility itself (such as pipeline damage). The water pressure sensor can sense these changes and collect relevant data.

[0037] Water quality sensor: It detects water quality parameters around underwater facilities, such as acidity and alkalinity (pH value), dissolved oxygen content, and turbidity. Changes in water quality can have a corrosive effect on the materials of underwater facilities. The water quality sensor provides a basis for evaluating the durability of the facilities by regularly collecting water quality data.

[0038] After the underwater sensor monitoring unit collects the raw data, it will perform preliminary processing on it, including filtering to remove noise interference, amplification to enhance the signal strength, and conversion of analog signals to digital signals for subsequent data transmission.

[0039] Data transmission stage

[0040] The data transmission module is responsible for transmitting the data collected and processed by the underwater sensor monitoring unit to the monitoring data processing module of underwater facilities in water transportation engineering on the shore. Different wireless communication technologies are adopted according to the different water depths:

[0041] Shallow water area: An underwater wireless sensor network is used for data transmission. Between underwater sensor monitoring units, data is passed from one node to another through multi-hop routing and finally sent to the surface relay node. This multi-hop routing method effectively expands the data transmission range and improves the transmission efficiency.

[0042] Deep water area: Since the transmission effect of the underwater wireless sensor network is limited in the deep water area, an underwater acoustic communication technology is adopted. Underwater acoustic communication uses the propagation characteristics of sound waves in water to transmit data. Although the transmission rate is relatively low, it can meet the data transmission requirements in the deep water area.

[0043] After receiving the data transmitted from underwater, the surface relay node will send the data to the monitoring data processing module of underwater facilities in water transportation engineering on the shore through 4G, 5G or satellite communication methods to ensure stable and fast data transmission.

[0044] Data processing and status evaluation stage

[0045] The monitoring data processing module of underwater facilities in water transportation engineering receives the data from the data transmission module and conducts in-depth analysis and processing on it, which is mainly completed by the following three units working together:

[0046] Data storage unit: Establish a database to classify and store various types of collected data. This database has data backup and recovery functions, which can effectively prevent data loss or damage and ensure the security and integrity of the data.

[0047] Data analysis unit: It uses big data analysis and machine learning algorithms to mine and analyze the data stored in the database. For example, by analyzing historical strain data, a strain change model is established to predict the future strain trend of underwater facilities; machine learning algorithms are used to classify displacement data to determine whether the displacement is due to normal seasonal changes or abnormal structural damage.

[0048] Status evaluation unit: According to the results of the data analysis unit, combined with the design standards and relevant specifications of underwater facilities, it evaluates the overall status of underwater facilities and gives a safety level evaluation. If a certain monitoring index exceeds the normal range, the status evaluation unit will determine that there are potential safety hazards in the facilities and give the corresponding safety level according to the specific situation.

[0049] Remote monitoring and management stage

[0050] Remote monitoring terminals (such as computers and mobile terminal devices) are connected to the monitoring data processing module of underwater facilities in water transportation projects through the network, providing users with the function of real-time viewing of monitoring data and facility status:

[0051] Data display: The remote monitoring terminal has a data display function, which displays the monitoring data to users in an intuitive form of charts, curves, and maps, enabling users to quickly and clearly understand the operation status of underwater facilities.

[0052] Remote configuration and management: Users remotely configure and manage the monitoring system through the remote monitoring terminal. For example, adjust the sampling frequency of sensors according to actual needs to obtain more detailed or macroscopic data; set warning thresholds to detect abnormal situations in a timely manner according to different safety requirements.

[0053] Intelligent warning stage

[0054] The intelligent warning module monitors various monitoring indicators of underwater facilities in real time according to the data analysis and status evaluation results of the monitoring data processing module of underwater facilities in water transportation projects:

[0055] Warning trigger: When a certain monitoring index exceeds the preset warning threshold, the intelligent warning module will immediately activate the warning mechanism.

[0056] Warning classification: This module has a warning classification function, which is divided into different levels such as first-level warning, second-level warning, and third-level warning according to the severity of the warning. For example, the first-level warning indicates serious danger, indicating that major failures or accidents are about to occur in underwater facilities; the second-level warning indicates moderate danger, and relevant personnel need to pay attention and conduct inspections in a timely manner; the third-level warning indicates minor danger, reminding relevant personnel to continuously pay attention to the facility status.

[0057] Early warning method: For early warnings at different levels, different early warning methods and response mechanisms are adopted. The early warning signals are sent to relevant personnel via text messages, emails, and APP push notifications to ensure that relevant personnel can receive the early warning information in a timely manner and take corresponding measures.

[0058] In summary, through the collaborative work of each module, the underwater facility monitoring system for water transportation projects based on the Internet of Things realizes real-time monitoring, data transmission, analysis and processing, remote monitoring, and intelligent early warning of underwater facilities, providing strong guarantee for the safe operation of water transportation projects.

[0059] Example code based on Python is used to simulate and implement the algorithms of the above-mentioned underwater facility monitoring system for water transportation projects based on the Internet of Things, including data collection, transmission, processing, and early warning functions.

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[0066] ```Code description:

[0067] 1. UnderwaterSensorNode class: Simulates the underwater sensor monitoring unit, and randomly generates strain, displacement, water pressure, and water quality data through the `collect_data` method.

[0068] 2. DataTransmissionModule class: Simulates the data transmission module. The `transmit_data` method simply returns the received data. In actual applications, complex wireless communication is involved.

[0069] 3. DataProcessingCenter class: Simulates the data processing module for underwater facilities monitoring in water transportation projects, including data storage, analysis, and status evaluation functions. The `pandas` library is used to process data, and a simple data analysis and prediction are performed using the linear regression model in the `sklearn` library.

[0070] 4. RemoteMonitoringTerminal class: Simulates a remote monitoring terminal. The `display_data` method displays the monitoring data, and the `configure_system` method simulates the system configuration function.

[0071] 5. IntelligentWarningModule class: Simulates an intelligent warning module that sends corresponding warning signals according to the warning level.

[0072] 6. Main program: Simulates the continuous operation of the system through a loop, and performs data acquisition, transmission, processing, monitoring, and warning operations every 5 seconds.

[0073] Embodiment 2: A water transportation engineering underwater facility monitoring system based on the Internet of Things mainly consists of an underwater sensor monitoring unit, a data transmission module, a water transportation engineering underwater facility monitoring data processing module, a water transportation engineering underwater facility remote monitoring terminal, and an intelligent warning module.

[0074] Installation and data acquisition of the underwater sensor monitoring unit

[0075] Install strain sensors, displacement sensors, water pressure sensors, and water quality sensors at key parts of underwater facilities in water transportation engineering, such as bridge pier foundations and underwater pipelines. These sensors are arranged at certain intervals and layouts to ensure comprehensive coverage of the key areas of underwater facilities.

[0076] The sensor nodes continuously collect strain, displacement, water pressure, and water quality data of the underwater facilities, and perform preliminary filtering and amplification processing to convert the analog signals into digital signals. For example, the strain sensor collects the strain value on the surface of the structure at regular intervals and stores it in the cache of the node after processing.

[0077] Data transmission of the data transmission module

[0078] The underwater sensor monitoring unit sends the processed data to the relay node on the water surface through wireless communication. In shallow waters, the underwater wireless sensor network plays a role, and the nodes relay the data to the relay node through multi-hop routing; in deep waters, the underwater acoustic communication technology ensures reliable data transmission to the relay node.

[0079] After receiving the data, the relay node sends the data to the water transportation engineering underwater facility monitoring data processing module on the shore using G, G, or satellite communication. For example, in areas close to the shore, the relay node quickly sends the data to the water transportation engineering underwater facility monitoring data processing module through the G network; in remote sea areas, satellite communication is used to ensure data transmission.

[0080] Data processing and status evaluation of the water transportation engineering underwater facility monitoring data processing module

[0081] After receiving the data from the underwater sensor monitoring unit, the monitoring data processing module for water transportation engineering underwater facilities first stores the data in a database. The database can be a relational database or a non-relational database, and the data is classified and stored according to its characteristics.

[0082] The stored data is analyzed using big data analysis and machine learning algorithms. For example, by analyzing a large amount of historical strain data, a prediction model for strain changes is established; the classification algorithm in machine learning is used to classify displacement data to determine whether the displacement is abnormal.

[0083] According to the data analysis results, combined with the design standards and relevant specifications of the underwater facilities, the overall state of the underwater facilities is evaluated to give a safety level evaluation. For example, if the strain value exceeds the design allowable range and the displacement data also shows abnormal changes, it is evaluated that the facility is in an unsafe state and the corresponding safety level is given.

[0084] Monitoring and Management of Remote Monitoring Terminals

[0085] Users connect to the monitoring data processing module for water transportation engineering underwater facilities through computer and mobile phone remote monitoring terminals to view the monitoring data, status evaluation results and safety level information of the underwater facilities in real time. The monitoring terminal uses an intuitive data visualization interface to display the data to users in the form of charts, curves and maps.

[0086] Users can also remotely configure and manage the monitoring system on the monitoring terminal. For example, adjust the sampling frequency of the sensor according to actual needs, from the original once every minute to once every minute; set the warning threshold, and trigger a warning when the strain value exceeds a certain set value.

[0087] Warning Function of Intelligent Warning Module

[0088] The intelligent warning module monitors the analysis results of the monitoring data processing module for water transportation engineering underwater facilities in real time. When a certain monitoring index exceeds the preset warning threshold, it immediately issues a warning signal.

[0089] The warning signal is sent to relevant personnel through SMS, email, and APP push. For example, when the water pressure sensor detects that the water pressure around the underwater pipeline has risen abnormally and exceeds the warning threshold, the intelligent warning module will automatically send an SMS to the pipeline maintenance personnel to inform them of the specific situation of the abnormal water pressure and its impact.

[0090] The early warning module classifies early warnings according to their severity levels, and different warning methods and response mechanisms are adopted for different levels. For level 1 early warnings, audible and visual alarms and emergency text message notifications are used to remind relevant personnel to immediately take emergency measures; for level 2 early warnings, relevant personnel are notified via ordinary text messages and emails and required to conduct inspections and handling within a certain period of time; for level 3 early warnings, messages are pushed through the APP to remind relevant personnel to pay attention to the operating status of the facilities.

[0091] In summary, the underwater facility monitoring system for water transportation projects based on the Internet of Things realizes real-time and comprehensive monitoring of underwater facilities for water transportation projects through the collaborative work of multiple modules, improves the monitoring efficiency and management level, and provides a reliable guarantee for the safe operation of water transportation projects.

[0092] Workflow of the underwater facility monitoring system for water transportation projects based on the Internet of Things:

[0093] Installation of underwater sensor monitoring unit and data acquisition stage

[0094] 1. Sensor installation: At key parts of underwater facilities (such as bridge pier foundations and underwater pipelines) in water transportation projects, strain sensors, displacement sensors, water pressure sensors, and water quality sensors are installed according to the pre-designed spacing and layout to ensure full coverage of key areas of underwater facilities.

[0095] 2. Data acquisition and preliminary processing:

[0096] Each sensor collects corresponding data of underwater facilities in real time. For example, the strain sensor regularly collects the strain values on the surface of the structure.

[0097] The sensor node conducts preliminary filtering and amplification processing on the collected original analog data, converts it into a digital signal, and stores it in the cache of the node.

[0098] Data transmission stage of the data transmission module

[0099] 1. Underwater transmission to the relay node:

[0100] Shallow water area: The underwater sensor monitoring unit uses an underwater wireless sensor network to relay and transmit the processed data to the relay node on the water surface through multi-hop routing.

[0101] Deep water area: Underwater acoustic communication technology is adopted to ensure reliable transmission of data from the underwater sensor monitoring unit to the relay node on the water surface.

[0102] 2. Relay node to the monitoring data processing module of underwater facilities for water transportation projects: After receiving the data, the relay node selects a suitable method to send the data to the monitoring data processing module of underwater facilities for water transportation projects on the shore according to its location and communication conditions. For example, 4G or 5G networks are used in areas close to the shore, and satellite communication is used in remote sea areas.

[0103] Data Processing and Status Evaluation Phase of the Underwater Facility Monitoring Data Processing Module for Water Transportation Projects

[0104] 1. Data Storage: The underwater facility monitoring data processing module for water transportation projects receives data from the underwater sensor monitoring unit and classifies and stores the data using a relational database or a non-relational database according to the data characteristics.

[0105] 2. Data Analysis: Use big data analysis and machine learning algorithms to deeply analyze the stored data. For example:

[0106] Analyze a large amount of historical strain data and establish a prediction model for strain changes.

[0107] Use machine learning classification algorithms to classify displacement data and determine whether the displacement is abnormal.

[0108] 3. Status Evaluation: According to the data analysis results, combined with the design standards and relevant specifications of the underwater facilities, evaluate the overall status of the underwater facilities and give a safety level evaluation. When abnormal strain values or displacement data occur, evaluate the facility status and determine the corresponding safety level.

[0109] Monitoring and Management Phase of the Remote Monitoring Terminal

[0110] 1. Data Viewing: Users connect to the underwater facility monitoring data processing module for water transportation projects through computer and mobile phone remote monitoring terminals, and use an intuitive data visualization interface to view the monitoring data, status evaluation results, and safety level information of underwater facilities in real time in the form of charts, curves, and maps.

[0111] 2. System Configuration and Management: Users can remotely configure and manage the monitoring system on the monitoring terminal. For example:

[0112] Adjust the sampling frequency of sensors according to actual needs.

[0113] Set the warning threshold to trigger a warning when the monitoring index exceeds the set value.

[0114] Warning Function Phase of the Intelligent Warning Module

[0115] 1. Warning Monitoring: The intelligent warning module continuously monitors the analysis results of the underwater facility monitoring data processing module for water transportation projects and continuously compares various monitoring indexes with the preset warning thresholds.

[0116] 2. Warning Triggering and Sending: When a certain monitoring index exceeds the warning threshold, immediately send a warning signal to relevant personnel via SMS, email, and APP push, informing them of the specific abnormal situation and its impact.

[0117] 3. Early warning classification and processing: Classify early warnings according to their severity levels, and adopt different early warning methods and response mechanisms for different levels:

[0118] Level 1 early warning: Adopt audible and visual alarms and emergency SMS notification methods to remind relevant personnel to immediately take emergency measures.

[0119] Level 2 early warning: Notify relevant personnel through ordinary SMS and emails, and require them to conduct inspections and handling within a certain period of time.

[0120] Level 3 early warning: Push messages through the APP to remind relevant personnel to pay attention to the operation status of the facilities.

[0121] Through the collaborative work of the above stages, the entire system realizes real-time and comprehensive monitoring of underwater facilities in water transportation projects, providing guarantee for the safe operation of water transportation projects.

[0122] The above embodiments are only used to illustrate the present invention rather than to limit the technical solutions described in the present invention. Although this specification has described the present invention in detail with reference to the above embodiments, the present invention is not limited to the above specific implementation manners. Therefore, any modification or substitution of the present invention; and all technical solutions and their improvements that do not depart from the spirit and scope of the invention are covered by the scope of the claims of the present invention.

Claims

1. An underwater facility monitoring system for water transportation engineering based on the Internet of Things, characterized in that, It includes an underwater sensor monitoring unit, a data transmission module, a monitoring data processing module for underwater facilities in water transportation engineering, a remote monitoring terminal for underwater facilities in water transportation engineering, and an intelligent early warning module; the underwater sensor monitoring unit is installed at key parts of the underwater facilities in water transportation engineering for collecting relevant data of the underwater facilities; the data transmission module transmits the data collected by the underwater sensor monitoring unit to the monitoring data processing module for underwater facilities in water transportation engineering; the monitoring data processing module for underwater facilities in water transportation engineering analyzes and processes the received data and evaluates the status of the underwater facilities; the remote monitoring terminal is connected to the monitoring data processing module for underwater facilities in water transportation engineering for real-time viewing of the monitoring data and the status of the facilities; the intelligent early warning module issues an early warning signal when the monitoring indicators are abnormal according to the analysis results of the monitoring data processing module for underwater facilities in water transportation engineering.

2. The underwater facility monitoring system for water transportation engineering based on the Internet of Things according to claim 1, wherein The underwater sensor monitoring unit includes a strain sensor, a displacement sensor, a water pressure sensor, and a water quality sensor; the strain sensor is used for monitoring the strain condition of the underwater facility structure; the displacement sensor is used for measuring the displacement of the underwater facility; the water pressure sensor is used for measuring the water pressure around the underwater facility; the water quality sensor is used for detecting the water quality parameters around the underwater facility.

3. The underwater facility monitoring system for water transportation projects based on the Internet of Things according to claim 2, wherein, The underwater sensor monitoring unit has the functions of data acquisition and preliminary processing, and can filter, amplify, and convert the collected raw data into digital signals.

4. The underwater facility monitoring system for water transportation engineering based on the Internet of Things according to claim 1, characterized in that, The data transmission module adopts wireless communication technologies, including an underwater wireless sensor network and an underwater acoustic communication technology; in shallow waters, the underwater wireless sensor network is used for data transmission, and the nodes send the data to the surface relay node through multi-hop routing; in deep waters, the underwater acoustic communication technology is used for data transmission; the surface relay node sends the received data to the monitoring data processing module for underwater facilities in water transportation engineering on the shore through 4G, 5G, or satellite communication.

5. The underwater facility monitoring system for water transportation projects based on the Internet of Things according to claim 1, characterized in that, The monitoring data processing module for underwater facilities in water transportation engineering includes a data storage unit, a data analysis unit, and a status evaluation unit; the data storage unit establishes a database for classifying and storing the collected data; the data analysis unit uses big data analysis and machine learning algorithms to mine and analyze the stored data; the status evaluation unit evaluates the overall status of the underwater facilities and gives a safety level evaluation according to the analysis results, combined with the design standards and relevant specifications of the underwater facilities.

6. The monitoring system for underwater facilities of water transportation projects based on the Internet of Things according to claim 5, characterized in that, The database has the functions of data backup and restoration to ensure the security and integrity of the data.

7. The underwater facility monitoring system for water transportation engineering based on the Internet of Things according to claim 1, characterized in that The remote monitoring terminal includes a computer and a mobile terminal device, and is connected to the monitoring data processing module for underwater facilities in water transportation engineering through a network; the remote monitoring terminal has a data display function to display the monitoring data to the user in the form of charts, curves, and maps; the user can also remotely configure and manage the monitoring system through the remote monitoring terminal, including adjusting the sampling frequency of the sensors and setting the early warning threshold.

8. The underwater facility monitoring system for water transportation projects based on the Internet of Things according to claim 1, characterized in that, The intelligent early warning module issues an early warning signal through SMS, email, and APP push when a certain monitoring indicator of the underwater facility exceeds the preset early warning threshold according to the data analysis and status evaluation results.

9. The monitoring system for underwater facilities in water transportation engineering based on the Internet of Things according to claim 8, characterized in that, The intelligent early warning module has an early warning classification function, which is divided into different levels such as level 1 early warning, level 2 early warning, and level 3 early warning according to the severity of the early warning. Different levels adopt different early warning methods and response mechanisms.

10. The underwater facility monitoring system for water transportation engineering based on the Internet of Things according to any one of claims 1 to 9, characterized in that, The underwater facilities of the water transportation project include pier foundations, underwater pipelines, and revetment structures.

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