Handheld ship vibration and acoustics intelligent measurement and analysis system and method

Abstract

The invention provides a handheld ship vibration and acoustics intelligent measurement and analysis system and method, and belongs to the technical field of ship vibration noise monitoring. The system integrates a high-precision sensor, a case, a data acquisition board card, a computer, a power supply module, a man-machine interaction touch screen and a ship vibration noise intelligent analysis module; signals are collected through the high-precision sensor, analog signals are converted into digital signals through the data collection board card, the handheld case is provided with a man-machine interaction touch screen, a data collection channel and external interfaces such as a USB interface, an equipment switch, a restart switch and a charging interface are arranged, and the requirement for convenient carrying is met. The ship vibration noise intelligent analysis module has the functions of data analysis and processing, equipment degradation trend analysis, equipment starting and stopping strategy recommendation, equipment fault alarm, base vibration isolation characteristic analysis and the like, and can automatically generate a monitoring report. The system provides powerful technical support for safe operation, performance optimization and intelligent management of the ship, and has great practical value.

Description

Technical Field

[0001] The present invention belongs to the technical field of ship vibration and noise monitoring, and in particular relates to a handheld ship vibration and acoustic intelligent measurement and analysis system and method. Background Art

[0002] During a vessel's voyage, vibration and noise levels are crucial indicators of its safety. These factors not only impact crew comfort but can also damage the vessel's structure and equipment. Regular vibration and noise testing and assessment are essential to ensure safe operation. Vibration and noise levels are often closely correlated with the operating status of mechanical equipment. Vibration and noise testing and analysis can promptly identify abnormalities in ship equipment, providing crucial insights for fault diagnosis and repair.

[0003] However, current ship vibration and noise testing systems on the market have several shortcomings. Many traditional testing systems are bulky and complex to operate, making them inconvenient for on-site testing on different vessels. Furthermore, these systems often lack intelligent analysis capabilities, preventing them from quickly and accurately analyzing collected data and providing timely and effective support for safe ship operation and performance optimization. Therefore, the development of a handheld intelligent ship vibration and acoustics measurement and analysis system is of great practical significance. Traditional ship vibration and acoustics measurement and analysis systems suffer from equipment limitations such as insufficient portability, low functional integration, and poor intelligence.

[0004] Traditional ship vibration and acoustic measurement systems are often bulky and heavy, making them difficult to transport between ships and for field testing. Sensors, data acquisition, and analysis modules are often distributed and independent, making operation complex and requiring the coordinated operation of multiple devices, increasing both complexity and cost. Most systems lack intelligent analysis capabilities, preventing rapid and accurate analysis and processing of collected data, making them incapable of meeting the demands of modern ship management for intelligent management. Summary of the Invention

[0005] The purpose of the present invention is to provide a handheld ship vibration and acoustic intelligent measurement and analysis system and method, which has the function of ship vibration and acoustic intelligent analysis, can perform data analysis and processing, equipment degradation trend analysis, etc., adopts advanced data processing algorithms to improve efficiency, and provides strong support for the safe operation, performance optimization and intelligent management of ships.

[0006] The purpose of the present invention is achieved through the following technical solutions:

[0007] A handheld ship vibration and acoustic intelligent measurement and analysis system comprises: a handheld chassis, a data acquisition interface installed in the handheld chassis, the data acquisition interface connected to a data acquisition card, the data acquisition card connected to a data analysis computer, the data analysis computer connected to a power module, a human-computer interaction touch screen, and an external interface, the eight-channel data acquisition interface connected to a high-precision sensor, and the data analysis computer installed with a ship vibration and noise intelligent analysis module;

[0008] The ship vibration noise intelligent analysis module includes a data analysis and processing module, a database module, an equipment degradation trend analysis module, an equipment start-up and shutdown strategy recommendation module, an equipment fault alarm module, a base vibration isolation characteristic analysis module, and an automatic report generation and monitoring module.

[0009] Furthermore, the high-precision sensor includes a vibration acceleration sensor, a microphone, and a force sensor, which are used to accurately collect vibration and acoustic signals of the ship;

[0010] The vibration acceleration sensors are installed on the equipment feet, base areas, and structural connection nodes of the ship;

[0011] The microphone is installed in the cabin and is used to measure air noise.

[0012] Furthermore, the front of the handheld case has a human-computer interaction touch screen, vibration damping pads are installed on both sides of the handheld case, strap buckles are provided on the side walls of the handheld case, and 8 data acquisition channel interfaces are provided on the upper surface of the handheld case;

[0013] The side surface of the handheld chassis is provided with a device switch, an external interface, a restart switch A and a restart switch B, as well as a vent for chassis heat dissipation. The external interface includes a charging interface and a USB interface.

[0014] Furthermore, the chassis is a high-strength aluminum alloy box, which improves the ability to resist electrical interference, protects internal electrical components from interference in the complex electromagnetic environment of the ocean, and ensures the accuracy of data collection and evaluation.

[0015] Furthermore, the vibration acceleration sensor adopts an IEPE vibration acceleration sensor.

[0016] The present invention may also include:

[0017] An analysis method of the above-mentioned handheld ship vibration and acoustic intelligent measurement and analysis system includes the following steps:

[0018] Step 1: Collect vibration and acoustic data from key areas of the ship using high-precision sensors;

[0019] Step 2: The data acquisition board in the handheld chassis converts the analog signal collected by the high-precision sensor into a digital signal and transmits it to the data analysis computer;

[0020] Step 3: The data analysis computer is connected to the data acquisition board to receive and process data; the computer evaluates the ship status through the ship vibration and acoustic monitoring and evaluation software, performs data analysis and processing, equipment degradation trend analysis, equipment start-up and shutdown strategy recommendations, equipment fault alarm, base vibration isolation characteristics analysis, underwater radiation noise evaluation, and automatically generates a ship vibration and noise monitoring and evaluation report.

[0021] Furthermore, the data analysis and processing function of the ship vibration and noise intelligent analysis module conducts in-depth analysis of the collected vibration and acoustic data to extract useful information;

[0022] The data analysis and processing performs multi-dimensional analysis on the measured vibration data and noise data, including spectrum analysis, vibration acceleration level, sound pressure level, vibration peak, 1 / 3 octave analysis, total vibration level and total sound pressure level functions;

[0023] The equipment degradation trend analysis is to predict the equipment degradation trend through analysis of long-term monitoring data to provide guidance for equipment maintenance and repair;

[0024] The equipment start-up and shutdown strategy recommendation is to recommend a reasonable equipment start-up and shutdown strategy based on the ship's operating status and equipment characteristics to optimize the equipment operation mode, reduce energy consumption, and improve equipment service life and reliability;

[0025] The equipment failure alarm is to send out an alarm signal in time when a fault is detected in the equipment to remind the user to take corresponding measures to improve the timeliness of fault handling and reduce the impact of the fault on the operation of the ship;

[0026] The base vibration isolation characteristic analysis provides a reference for the vibration control of the ship by analyzing the vibration isolation characteristics of the ship foundation, thereby reducing the vibration level of the ship and improving the crew comfort and ship safety.

[0027] Furthermore, the base vibration isolation characteristic analysis is to quickly evaluate the vibration isolation capacity of the vibration isolation system by comparing the vibration response of the equipment foot and the base. The vibration isolation capacity of the vibration isolation system can be obtained by the following formula:

[0028] Δ=L a机脚 -L a基座

[0029] Where Δ represents the vibration isolation amount, L a机脚 Indicates the vibration acceleration level at the equipment foot; L a基座 Indicates the vibration acceleration level at the equipment base.

[0030] Furthermore, the vibration acceleration level is L a=20log 10 (a / a0), where a is the effective value of the measured vibration acceleration and the unit of a is m / s 2 , a0 is the acceleration reference value, a0=10 -6 m / s 2 .

[0031] Furthermore, the sound pressure level is L p =20log 10 (p / p0), where p is the measured effective value of sound pressure, and the unit of p is m / s 2 , p0 is the reference value of sound pressure, underwater p0=10 -6 m / s 2 , p0 in air = 2×10 -5 m / s 2 .

[0032] The beneficial effects of the present invention are:

[0033] This invention can ensure the safe operation of ships, promptly discover potential faults, improve the working environment of crew members, help reduce vibration and noise, optimize ship performance, promote intelligent management, realize remote monitoring, promote technological progress in the shipping industry, and integrate advanced technologies to inject new impetus into the industry.

[0034] The handheld ship vibration and acoustics intelligent measurement and analysis system of this invention features a shoulder strap buckle on the side of the chassis, combined with a large-capacity lithium battery to provide handheld power. This allows the system to be easily carried aboard various vessels for on-site testing. This significantly improves the flexibility and timeliness of testing, meeting the testing needs of different vessels under varying operating conditions.

[0035] The present invention integrates high-precision sensors, a chassis, a data acquisition board, a computer, a power supply module, a human-computer interaction touch screen, and a ship vibration and noise intelligent analysis module into one system, thereby simplifying the operation process and reducing the use cost.

[0036] The ship vibration and noise intelligent analysis module of this invention features multiple functions, including data analysis and processing, equipment degradation trend analysis, equipment startup and shutdown strategy recommendations, equipment fault alarms, and foundation vibration isolation characteristic analysis. It also automatically generates monitoring reports. This provides strong support for intelligent ship management, helping users promptly identify potential fault risks, optimize equipment operating modes, and improve ship safety and performance optimization.

[0037] The present invention achieves portability by optimizing the chassis structure, integrating multiple modules such as high-precision sensors, data acquisition boards, and computers into one chassis. It has the function of intelligent analysis of ship vibration and acoustics, and can perform data analysis and processing, equipment degradation trend analysis, etc. It uses advanced data processing algorithms to improve efficiency, and provides strong support for the safe operation, performance optimization and intelligent management of ships. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Attachment Figure 1 It is a system framework diagram of the present invention.

[0039] Attachment Figure 2 It is a structural schematic diagram of the handheld chassis of the present invention.

[0040] Attachment Figure 3 It is a left view of the handheld chassis of the present invention.

[0041] Attachment Figure 4 It is a front view of the handheld chassis of the present invention.

[0042] In the attached figure: 1. Chassis, 2. Human-computer interaction touch screen, 3. Vibration cushion, 4. Data acquisition channel interface, 5. Strap buckle, 6. Charging interface, 7. USB interface, 8. Device switch, 9. Restart switch A, 10. Restart switch B, 11. Ventilation port. DETAILED DESCRIPTION

[0043] The present invention will be further described below with reference to the accompanying drawings.

[0044] A handheld ship vibration and acoustic intelligent measurement and analysis system, as shown in the attached Figure 1 As shown, it includes: a handheld chassis 1, a data acquisition interface 4 is installed in the handheld chassis 1, the data acquisition interface 4 is connected to the data acquisition card, the data acquisition card is connected to the data analysis computer, the data analysis computer is connected to the power module, the human-computer interaction touch screen 2, and the external interface, the eight-channel data acquisition interface is connected to the high-precision sensor, and the data analysis computer is installed with a ship vibration noise intelligent analysis module for data processing and analysis;

[0045] The human-computer interactive touch screen 2 facilitates users to set system parameters, start data collection tasks, view real-time data and analysis reports, etc., thereby improving the usability and interactivity of the system;

[0046] The ship vibration noise intelligent analysis module includes a data analysis and processing module, a database module, an equipment degradation trend analysis module, an equipment start-up and shutdown strategy recommendation module, an equipment fault alarm module, a base vibration isolation characteristic analysis module, and an automatic report generation and monitoring module.

[0047] The power module includes a large-capacity lithium battery, providing handheld power for the system. This high-capacity lithium battery provides power for extended field testing. The battery can be used as an emergency power source and can be plugged in to extend battery life. This meets the needs of field testing on various vessels, serving as an emergency power source while also accommodating power outages and allowing for extended field testing.

[0048] The high-precision sensor is used to collect vibration and acoustic signals of the ship, including: a vibration acceleration sensor, a microphone, and a force sensor, which are used to accurately collect vibration and acoustic signals of the ship;

[0049] The vibration acceleration sensors are installed on the equipment feet, base areas, and structural connection nodes of the ship;

[0050] Preferably, the vibration acceleration sensor is installed in key areas of the vessel, such as equipment feet, base areas, and structural connection nodes, typically by magnetic attraction or bolt fastening, to accurately sense equipment operation and structural vibration. A terminal on one side of the vibration acceleration sensor is connected to the data acquisition channel interface 4 via a signal cable, completing the connection between the acceleration sensor and the system for accurate sensing of equipment operation and structural vibration.

[0051] Preferably, the microphone is usually installed in the cabin in a clamp-fixed manner, and is used to measure the air noise in the ship cabin.

[0052] To ensure accurate vibration and sound signals, the high-precision sensor should maintain proper contact with the monitored object. Furthermore, since sensors may drift over time, maintaining proper contact between the sensor and the monitored object requires regular calibration to ensure data accuracy.

[0053] The microphone is installed in the cabin and is used to measure air noise.

[0054] The front of the handheld case has a human-computer interaction touch screen 2, vibration damping pads 3 are installed on both sides of the handheld case 1, strap buckles 5 are provided on the side walls of the handheld case 1, and 8 data acquisition channel interfaces 4 are provided on the upper surface of the handheld case 1;

[0055] The vibration-absorbing pad increases the anti-collision performance of the chassis and reduces the risk of damage to internal components due to collision or falling during carrying.

[0056] The strap buckle 5 can be fastened with a nylon strap at any time, meeting the handheld design requirements, making the system easy to carry on various ships for field testing. The strap buckle design allows users to easily carry the system, improving the portability and flexibility of the system.

[0057] As attached Figure 2-4 As shown, the side surface of the handheld case 1 is provided with a device switch 8, external interfaces, restart switches A9 and B10, and a vent 11 for case heat dissipation. The external interfaces include a charging interface 6 and a USB interface 7. The USB interface 7 facilitates data transmission and storage; the device switch 8, restart switches A9 and B10 facilitate control of the system's operating status, allowing for rapid resumption of operation in the event of a system failure, reducing measurement interruptions and discontinuities in data analysis caused by downtime. The device switch 8 is used to start and shut down the handheld ship vibration and acoustics intelligent measurement and analysis system; the restart switch A9 controls computer restarts, and the restart switch B10 controls the restart of the handheld ship vibration and acoustics intelligent measurement and analysis system; the charging interface 6 provides a convenient way to charge the system; and the vent helps maintain heat dissipation efficiency within the case, preventing the device from overheating.

[0058] The handheld device's chassis is constructed from a high-strength aluminum alloy, enhancing its resistance to electrical interference and protecting internal components from the complex electromagnetic environment of the ocean, ensuring accurate data acquisition and evaluation. The modular design of the handheld device facilitates maintenance and upgrades, with key components such as the data acquisition board, computer, and high-capacity lithium battery working in concert. The data acquisition board offers high-precision, multi-channel sampling capabilities.

[0059] The vibration acceleration sensor adopts an IEPE vibration acceleration sensor to improve the efficiency and flexibility of data acquisition. The interfaces and switches on the side panel of the chassis include a USB interface to facilitate data transmission and storage, a device switch and a restart switch to facilitate the system operation status, a charging interface to provide a convenient charging method, and a vent to maintain the internal heat dissipation efficiency of the chassis to prevent the device from overheating.

[0060] This embodiment also includes:

[0061] An analysis method of the above-mentioned handheld ship vibration and acoustic intelligent measurement and analysis system includes the following steps:

[0062] Step 1: Collect vibration and acoustic data from key areas of the ship using high-precision sensors;

[0063] Step 2: The data acquisition board in the handheld chassis 1 converts the analog signal collected by the high-precision sensor into a digital signal and transmits it to the data analysis computer;

[0064] Step 3: The data analysis computer is connected to the data acquisition board to receive and process data; the computer evaluates the ship status through the ship vibration and acoustic monitoring and evaluation software, performs data analysis and processing, equipment degradation trend analysis, equipment start-up and shutdown strategy recommendations, equipment fault alarm, base vibration isolation characteristics analysis, underwater radiation noise evaluation, and automatically generates a ship vibration and noise monitoring and evaluation report.

[0065] Furthermore, the data analysis and processing function of the ship vibration and noise intelligent analysis module conducts in-depth analysis of the collected vibration and acoustic data to extract useful information;

[0066] The data analysis and processing performs multi-dimensional analysis on the measured vibration data and noise data, including spectrum analysis, vibration acceleration level, sound pressure level, vibration peak, 1 / 3 octave analysis, total vibration level and total sound pressure level functions;

[0067] The equipment degradation trend analysis is to predict the equipment degradation trend through analysis of long-term monitoring data to provide guidance for equipment maintenance and repair;

[0068] The equipment start-up and shutdown strategy recommendation is to recommend a reasonable equipment start-up and shutdown strategy based on the ship's operating status and equipment characteristics to optimize the equipment operation mode, reduce energy consumption, and improve equipment service life and reliability;

[0069] The equipment failure alarm is to send out an alarm signal in time when a fault is detected in the equipment to remind the user to take corresponding measures to improve the timeliness of fault handling and reduce the impact of the fault on the operation of the ship;

[0070] The base vibration isolation characteristic analysis provides a reference for the vibration control of the ship by analyzing the vibration isolation characteristics of the ship foundation, thereby reducing the vibration level of the ship and improving the crew comfort and ship safety.

[0071] Specifically, the base vibration isolation characteristic analysis is to quickly evaluate the vibration isolation capacity of the vibration isolation system by comparing the vibration response of the equipment feet and the base. The vibration isolation capacity of the vibration isolation system can be obtained by the following formula:

[0072] Δ=L a机脚 -L a基座

[0073] Where Δ represents the vibration isolation amount, L a机脚 Indicates the vibration acceleration level at the equipment foot; L a基座 Indicates the vibration acceleration level at the equipment base.

[0074] The vibration acceleration level is L a =20log 10 (a / a0), where a is the effective value of the measured vibration acceleration and the unit of a is m / s 2 , a0 is the acceleration reference value, a0=10-6 m / s 2 .

[0075] The sound pressure level is L p =20log 10 (p / p0), where p is the measured effective value of sound pressure, and the unit of p is m / s 2 , p0 is the reference value of sound pressure, underwater p0=10 -6 m / s 2 , p0 in air = 2×10 -5 m / s 2 .

[0076] The 1 / 3 octave analysis is based on the center frequency band and bandwidth, dividing the full frequency band into several one-third octave sub-bands. The center frequency f0 refers to the ISO specification, and the bandwidth range consists of upper and lower limits: the lower limit frequency is:

[0077]

[0078] Upper frequency limit:

[0079]

[0080] The frequency domain data is filtered using a bandpass filter, and the acceleration data within the frequency band is converted into acceleration levels according to the following formula (3). The frequency and vibration acceleration level data of one-third octave band are obtained.

[0081]

[0082] The total vibration level Total sound pressure level Among them, La i and Lp i are the vibration acceleration level and sound pressure level of the i-th frequency component or frequency band, respectively, and M is the number of frequency components or frequency bands.

[0083] In this embodiment, the database module is mainly responsible for interacting with the database, adopting a centralized design to ensure effective storage and efficient access to data, uniformly managing the reading, writing and operation of various types of test data, and storing parameters required for evaluation such as ship equipment vibration standards, radiated noise standards, and omnidirectional acoustic vibration transfer function data.

[0084] The ship equipment degradation trend analysis module, relying on measured data in the database and using a time series analysis algorithm, analyzes the historical vibration data of individual ship equipment one by one (including key indicators such as the total level, peak value, and frequency band level), comprehensively assesses the changing trend of the equipment vibration level, and effectively reveals potential failures or performance degradation signs of ship equipment, providing accurate data support and decision-making guidance for the maintenance and management of ship equipment.

[0085] Specifically, the autoregressive integrated moving average (ARIMA) model is used. The ARIMA model combines autoregressive (AR) and moving average (MA) components and uses differencing to make the time series stationary. Combining machine learning techniques (such as support vector machines and random forests) with statistical methods can further improve the accuracy of fault detection and prediction. Based on the extracted vibration characteristics, the model can be trained to identify potential failure modes.

[0086] In this embodiment, the ship equipment start-up and shutdown strategy recommendation module relies on the measured data in the database to compare the historical vibration data of the same type of equipment (including key indicators such as total level, peak level, frequency band level, etc.), effectively identify the status differences between the same type of equipment, and accurately recommend equipment start-up and shutdown strategies, thereby improving ship operation efficiency and optimizing equipment maintenance plans.

[0087] Specifically, the method includes the following steps:

[0088] (1) Data collection: Obtain historical vibration data of similar equipment from the database;

[0089] (2) Data preprocessing: remove noise and outliers, and standardize data;

[0090] (3) Status comparison: using similarity measurement methods and cluster analysis to identify differences in device status;

[0091] (4) Strategy recommendation: Based on the recognition results, use decision trees or rule engines to recommend opening and closing strategies;

[0092] (5) Feedback and optimization: Optimize the recommended strategy based on feedback from implementation results.

[0093] Furthermore, Euclidean distance is used to measure the similarity between historical vibration data of similar equipment. The smaller the distance, the more similar the status. Statistical calculations such as mean and standard deviation are performed on key indicators of each device (such as total level and peak value) to quantify differences in device status. Control charts are used to monitor changes in key equipment indicators and identify abnormalities in device status. By constructing a decision tree model, appropriate start-up and shutdown strategies are recommended based on the characteristics of the equipment status. This model combines historical data and corresponding strategies to automatically select the optimal strategy.

[0094] In this embodiment, the ship equipment fault alarm module relies on measured data in a database, combined with the time-frequency analysis algorithm in the data analysis and processing module, and in accordance with relevant international standards or industry specifications to set vibration thresholds for various types of ship equipment. Based on the equipment's historical vibration data, an adaptive threshold adjustment algorithm is used to dynamically optimize the vibration alarm threshold. Machine learning algorithms such as support vector machines (SVMs) are used to construct a fault classification model, identifying equipment failure modes based on vibration characteristics, improving the accuracy and generalization of fault identification. This provides early warnings before equipment failures occur, reducing downtime and repair costs caused by sudden failures and ensuring safe ship operations.

[0095] Specifically, the method includes the following steps:

[0096] (1) Data acquisition: extract historical vibration data from the database;

[0097] (2) Time-frequency analysis: Apply time-frequency analysis algorithms to process signals and extract effective features;

[0098] (3) Threshold setting and adjustment: set the initial threshold according to the standard; implement adaptive threshold adjustment and dynamically update the alarm threshold;

[0099] (4) Feature extraction and model construction: extract vibration features and build a support vector machine model;

[0100] (5) Fault identification and alarm: Real-time monitoring of equipment vibration signals, fault pattern identification through SVM model, and early warning.

[0101] In this embodiment, the automatic report generation module is a system function that automatically generates reports based on output data and template design. Relying on a series of complex algorithms and data processing techniques, this module integrates the data obtained by the report data management module with the template files created by the template management module, replaces the code placeholders in the templates with the data, and ultimately generates the report file. The module then stores the relevant information of the report file in a database, ensuring that the generated report not only meets the preset format requirements but also accurately reflects the information represented by the data.

[0102] Specifically, the method includes the following steps:

[0103] (1) Data extraction: Obtain the required data from the database and perform data cleaning and formatting;

[0104] (2) Template design: Create report templates using template language and design appropriate formats;

[0105] (3) Placeholder replacement: parse the template and replace the placeholder according to the data;

[0106] (4) Generate report: Generate final report document using appropriate file format;

[0107] (5) Storing report information: Persisting report information in the database to ensure traceability.

[0108] Furthermore, data extraction can be achieved through SQL query language or data access API (such as ORM tools), and data cleaning can ensure that the extracted data conforms to the required format, including processing null values, filtering outliers, or standardizing data types.

[0109] Going a step further, report templates are designed using a templating language (such as Mustache, Jinja2, or Handlebars). These templates typically contain placeholders, which represent parts that will be replaced by data. Ensure that the template can directly generate the required report file type according to the preset format specifications (such as PDF, Word, Excel, etc.). Use a placeholder replacement algorithm to parse the template file, find the placeholders in the text and replace them with the actual data. String processing techniques such as regular expression matching can be used. The report is written to the file based on the replaced content and the specified format. The following technologies can be used: document processing libraries such as pdfkit, weasyprint for generating PDF reports, or python-docx for generating Word documents; reporting libraries such as ReportLab for advanced PDF operations, supporting chart generation and more complex layouts.

[0110] Furthermore, relevant information of the generated report (such as report ID, generation time, author, type, etc.) is stored in a database for subsequent access and management.

[0111] The handheld ship vibration and acoustic intelligent measurement and analysis system of the present invention has significant advantages in portability, functional integration, intelligent analysis function and data acquisition efficiency, providing strong support for the safe operation, performance optimization and intelligent management of ships.

[0112] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A handheld ship vibration and acoustic intelligent measurement and analysis system, characterized in that: include: A handheld chassis (1) is provided with a data acquisition interface (4) installed therein, the data acquisition interface (4) is connected to a data acquisition card, the data acquisition card is connected to a data analysis computer, the data analysis computer is connected to a power module, a human-computer interaction touch screen (2), and an external interface, the eight-channel data acquisition interface is connected to a high-precision sensor, and a ship vibration noise intelligent analysis module is installed in the data analysis computer; The ship vibration noise intelligent analysis module includes a data analysis and processing module, a database module, an equipment degradation trend analysis module, an equipment start-up and shutdown strategy recommendation module, an equipment fault alarm module, a base vibration isolation characteristic analysis module, and an automatic report generation and monitoring module.

2. The handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 1 is characterized in that: The high-precision sensors include vibration accelerometers, microphones, and force sensors, which are used to accurately collect vibration and acoustic signals of the ship; The vibration acceleration sensors are installed on the equipment feet, base areas, and structural connection nodes of the ship; The microphone is installed in the cabin and is used to measure air noise.

3. The handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 1 or 2, characterized in that: The front of the handheld case is provided with a human-computer interaction touch screen (2), vibration damping pads (3) are installed on both sides of the handheld case (1), a shoulder strap buckle (5) is provided on the side wall of the handheld case (1), and eight data acquisition channel interfaces (4) are provided on the upper surface of the handheld case (1); The side surface of the handheld case (1) is provided with a device switch (8), an external interface, a restart switch A (9), a restart switch B (10), and a vent (11) for case heat dissipation. The external interface includes a charging interface (6) and a USB interface (7).

4. The handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 3 is characterized in that: The chassis is a high-strength aluminum alloy box, which improves the ability to resist electrical interference, protects internal electrical components from interference from the complex electromagnetic environment of the ocean, and ensures the accuracy of data collection and evaluation.

5. The handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 1 is characterized in that: The vibration acceleration sensor adopts an IEPE vibration acceleration sensor.

6. An analysis method for the handheld ship vibration and acoustic intelligent measurement and analysis system according to any one of claims 1 to 5, characterized in that: The following steps are involved: Step 1: Collect vibration and acoustic data from key areas of the ship using high-precision sensors; Step 2: The data acquisition board in the handheld chassis (1) converts the analog signal collected by the high-precision sensor into a digital signal and transmits it to the data analysis computer; Step 3: The data analysis computer is connected to the data acquisition board to receive and process data; the computer evaluates the ship status through the ship vibration and acoustic monitoring and evaluation software, performs data analysis and processing, equipment degradation trend analysis, equipment start-up and shutdown strategy recommendations, equipment fault alarm, base vibration isolation characteristics analysis, underwater radiation noise evaluation, and automatically generates a ship vibration and noise monitoring and evaluation report.

7. The analysis method of the handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 6 is characterized in that: The data analysis and processing function of the ship vibration and noise intelligent analysis module conducts in-depth analysis of the collected vibration and acoustic data to extract useful information; The data analysis and processing performs multi-dimensional analysis on the measured vibration data and noise data, including spectrum analysis, vibration acceleration level, sound pressure level, vibration peak, 1 / 3 octave analysis, total vibration level and total sound pressure level functions; The equipment degradation trend analysis is to predict the equipment degradation trend through analysis of long-term monitoring data to provide guidance for equipment maintenance and repair; The equipment start-up and shutdown strategy recommendation is to recommend a reasonable equipment start-up and shutdown strategy based on the ship's operating status and equipment characteristics to optimize the equipment operation mode, reduce energy consumption, and improve equipment service life and reliability; The equipment failure alarm is to send out an alarm signal in time when a fault is detected in the equipment to remind the user to take corresponding measures to improve the timeliness of fault handling and reduce the impact of the fault on the operation of the ship; The base vibration isolation characteristic analysis provides a reference for the vibration control of the ship by analyzing the vibration isolation characteristics of the ship foundation, thereby reducing the vibration level of the ship and improving the crew comfort and ship safety.

8. The analysis method of the handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 7 is characterized in that: The base vibration isolation characteristic analysis is to quickly evaluate the vibration isolation capacity of the vibration isolation system by comparing the vibration response of the equipment feet and the base. The vibration isolation capacity of the vibration isolation system can be obtained by the following formula: Δ=L a机脚 -L a基座 Where Δ represents the vibration isolation amount, L a机脚 Indicates the vibration acceleration level at the equipment foot; L a基座 Indicates the vibration acceleration level at the equipment base.

9. The analysis method of the handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 7, characterized in that: The vibration acceleration level is L a =20log 10 (a / a0), where a is the effective value of the measured vibration acceleration and the unit of a is m / s 2 , a0 is the acceleration reference value, a0=10 -6 m / s 2 .

10. The analysis method of the handheld ship vibration and acoustic intelligent measurement and analysis system according to claim 7, characterized in that: The sound pressure level is L p =20log 10 (p / p0), where p is the measured effective value of sound pressure, and the unit of p is m / s 2 , p0 is the reference value of sound pressure, underwater p0=10 -6 m / s 2 , p0 in air = 2×10 -5 m / s 2 .

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