Epoxy resin glue machine full life cycle management method, system and device for ship

Abstract

The application provides a kind of epoxy resin glue machine full life cycle management method, system and device for ship, method includes the following steps: install multiple data acquisition devices on epoxy resin glue machine;Synchronous acquisition of the original data of multiple data acquisition devices;Signal conditioning is carried out to original data to obtain conditioning data;Time-frequency conversion is carried out to conditioning data, time-domain signal is converted into frequency-domain signal, and characteristic data representing the state of epoxy resin glue machine is extracted;Based on the comparison of characteristic data and preset threshold, the running state of epoxy resin glue machine is judged, and early warning information is generated when abnormal. It can effectively carry out accurate early warning on failure, and avoid relying on point-by-point detection by artificial.

Description

Technical Field

[0001] This invention relates to the technical field of shipbuilding, and more specifically, to a method, system, and device for the full life-cycle management of epoxy resin adhesive machines for ships. Background Technology

[0002] In ship structure, the cargo containment system for liquid cargo tanks is a crucial component, and its construction quality directly determines the overall performance and quality of the vessel. The epoxy resin adhesive applicator is a core piece of equipment in the installation of insulation panels for the cargo containment system, responsible for the precise delivery and application of high-viscosity epoxy resin. Its operational status directly determines the bonding quality of the insulation panels, construction efficiency, and the final sealing and safety performance of the containment system. In shipbuilding, especially in the construction of high-value-added vessels such as liquefied natural gas (LNG) carriers, the construction of cargo containment systems is characterized by complex processes, stringent quality requirements, and tight schedules. Any unplanned downtime of critical equipment will lead to project delays and significant economic losses.

[0003] Currently, the operation and maintenance management of epoxy resin adhesive machines is generally based on a traditional and passive model, with the following significant shortcomings: First, at the status awareness level, there is a lack of real-time and accurate monitoring methods. Traditional management methods rely heavily on operators' periodic inspections and experience-based judgment, failing to achieve continuous, online quantitative monitoring of key operating parameters within the adhesive machine (such as drive shaft torque, gear pump current, dispensing pressure and flow rate, and adhesive temperature). The equipment operates like a "black box," making it difficult to detect abnormal conditions in a timely manner. Second, at the fault handling level, it is mainly based on reactive maintenance, lacking predictive and early warning capabilities. Existing fault identification methods are often limited in scope and accuracy, typically initiating maintenance procedures only after the equipment has experienced obvious faults (such as complete adhesive blockage or pump jamming) leading to shutdown. This model cannot anticipate potential problems such as early adhesive curing, gradual pipe wall blockage, and progressive wear of transmission components, trapping maintenance work in a reactive "firefighting" cycle. Third, at the management level, information is fragmented, failing to form a closed-loop system covering the entire lifecycle. Information about equipment from procurement, commissioning, operation, maintenance to scrapping is scattered across paper documents, records from different personnel, and even multiple independent systems, lacking a unified and continuous digital archive. Summary of the Invention

[0004] In view of the problems existing in the prior art of epoxy resin adhesive machines for ships, this application provides a method and system device for full life cycle management of epoxy resin adhesive machines for ships, which is used to detect the status of each key structure of the epoxy resin adhesive machine for ships in real time, effectively prevent the occurrence of faults, and accurately locate the fault points.

[0005] To achieve the above and other related objectives, the present invention provides a method for the full life-cycle management of epoxy resin adhesive machines for ships, which includes the following steps:

[0006] Multiple data acquisition devices are installed on the epoxy resin glue machine;

[0007] Simultaneously collect raw data from the multiple data acquisition devices;

[0008] The raw data is subjected to signal conditioning to obtain conditioned data;

[0009] The conditioning data is converted from time to frequency to extract characteristic data representing the state of the epoxy resin adhesive machine.

[0010] Based on the comparison of the feature data with the preset threshold, the operating status of the epoxy resin adhesive machine is determined, and an early warning message is generated when an abnormality occurs.

[0011] Optionally, the data acquisition device includes multiple sensors and a timer for recording the glue's outbound transfer time. The sensors include at least a rotational torque sensor, a strain gauge, a pressure sensor, a Hall current sensor, an optical reflection sensor, a flow meter, and a thermometer.

[0012] Optionally, installing multiple data acquisition devices on the epoxy resin glue machine includes:

[0013] A rotational torque sensor is installed at the motor output end of the epoxy resin glue machine; a Hall current sensor is installed at the air switch of the gear pump of the epoxy resin glue machine; a pressure sensor, a flow meter, and a first thermometer are installed at the glue outlet pipe of the epoxy resin glue machine; a strain gauge and an optical reflection sensor are installed at the pressure plate of the epoxy resin glue machine; a second thermometer is installed in the glue placement chamber of the epoxy resin glue machine; and a timer is installed on the outside of the glue tank of the epoxy resin glue machine.

[0014] Optionally, the raw data includes: the torque on the drive shaft, the instantaneous axial load on the pressure plate, the cleanliness of the pressure plate, the operating current of the gear pump, the pressure of the dispensing pipe, the flow rate of the dispensing pipe, the temperature monitored by the first thermometer and the second thermometer, and the outbound operation time recorded by the timer.

[0015] Optionally, the signal conditioning of the original data to obtain conditioned data includes: amplifying the original signal, filtering noise, compensating for environmental noise, automatically zeroing the signal, and performing analog-to-digital conversion sampling.

[0016] Optionally, determining the device operating status based on a comparison of the feature data with a preset threshold includes:

[0017] If the torque on the drive shaft obtained by the rotary torque sensor is greater than the theoretical maximum torque of the drive shaft, then the drive shaft is determined to be overloaded.

[0018] And / or if the instantaneous axial load of the pressure plate monitored by the strain gauge exceeds its bearing threshold, the pressure plate is determined to be overloaded;

[0019] And / or if the cleanliness of the pressure plate monitored by the optical reflection sensor does not reach the operating threshold, the pressure plate is determined to be abnormally clean;

[0020] And / or if the operating current of the gear pump monitored by the Hall current sensor exceeds its load range, it is determined to be a current overload;

[0021] And / or if the temperature monitored by the first thermometer and / or the second thermometer is lower than the working temperature threshold of the adhesive, it is determined that the adhesive is low-temperature curing;

[0022] And / or if the outbound operation time recorded by the timer located outside the glue bucket exceeds the time safety threshold, it is determined that the glue transfer has timed out.

[0023] Optionally, it also includes: determining based on the combination of pressure and flow rate of the dispensing tube:

[0024] If the pressure exceeds the high pressure threshold, and the flow rate is within the normal flow range, it is determined that the system pressure setting is abnormal or the gear pump is overloaded; if the flow rate is below the low flow threshold, it is determined that the pipeline is severely blocked or the glue viscosity is abnormal.

[0025] If the pressure is within the normal pressure range and the flow rate is below the low flow rate threshold, it is determined that the pipeline is slightly throttled or blocked.

[0026] If the pressure is lower than the low pressure threshold and the flow rate is higher than the high flow rate threshold, it is determined that there may be a leak in the pipeline or that the pump metering is out of control.

[0027] If both pressure and flow rate are within their normal ranges, the adhesive circuit system is considered to be in normal condition.

[0028] This application also provides a lifecycle management system for marine epoxy resin adhesive machines, used to implement the lifecycle management method for marine epoxy resin adhesive machines described in claims 1-7, wherein the lifecycle management system for marine epoxy resin adhesive machines includes:

[0029] The data acquisition module is used to synchronously acquire the raw data collected by the data acquisition device installed on the epoxy resin glue machine;

[0030] The data processing and analysis module is used to condition, perform time-frequency conversion, and extract features from the raw data;

[0031] The diagnostic and early warning module is used to diagnose faults based on the extracted feature information and generate early warning information.

[0032] The equipment information management module is used to manage the comprehensive information of the full life cycle management system of the marine epoxy resin glue machine, and serves as a human-machine interaction platform.

[0033] This application also provides a lifecycle management device for a marine epoxy resin adhesive machine, used to implement the lifecycle management method for a marine epoxy resin adhesive machine as described in claims 1-7, wherein the lifecycle management device for the marine epoxy resin adhesive machine includes:

[0034] A signal acquisition device is installed on the epoxy resin glue machine to acquire the status of the epoxy resin glue machine in real time.

[0035] The signal acquisition box is communicatively connected to the signal acquisition device and is used to synchronously acquire raw data;

[0036] The processor, which is communicatively connected to the signal acquisition box, is used to process the raw data.

[0037] As described above, the life-cycle management method and system for marine epoxy resin adhesive machines, as well as the manufacturing method and display device provided by the present invention, have at least the following beneficial technical effects:

[0038] The present invention relates to a method, system, and equipment for the full lifecycle management of epoxy resin adhesive machines for marine applications. By installing various types of data acquisition devices on key mechanical components and pipelines such as drive shafts, gear pumps, dispensing pipes, and pressure plates, the system enables real-time, stable, comprehensive, and blind-spot-free status monitoring of the epoxy resin adhesive machine. This effectively overcomes the limitations of traditional methods that rely on manual point-by-point inspections. Furthermore, by comparing real-time characteristic data with thresholds, the system can issue timely warnings at the early stages of fault occurrence or when potential risks emerge (such as slight throttling in pipelines or a decreasing trend in adhesive temperature), proactively preventing more serious problems from occurring. Attached Figure Description

[0039] Figure 1 The flowchart shown is a process for the full lifecycle management of epoxy resin adhesive machines for ships provided in Embodiment 1 of the present invention.

[0040] Figure 2 The diagram shown is a schematic representation of the composition of the marine epoxy resin adhesive machine provided in Example 1.

[0041] Figure 3 The flowchart shown is a comparison of the feature data provided in Example 1 with a preset threshold.

[0042] Figure 4The flowchart shown is provided in Example 1, which describes how the operating status of the equipment is determined based on the combination of pressure and flow rate of the dispensing hose.

[0043] Figure 5 The diagram shown is a schematic representation of the composition of the full lifecycle management system for marine epoxy resin adhesive machines provided in Example 2.

[0044] Reference numerals: 10. Rotary torque sensor; 11. Hall current sensor; 12. Pressure sensor; 13. Flow meter; 14. First thermometer; 15. Strain gauge; 16. Optical reflection sensor; 17. Second thermometer; 18. Timer; 20. Data acquisition module; 21. Data processing and analysis module; 22. Diagnostic and early warning module; 23. Equipment information management module. Detailed Implementation

[0045] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention.

[0046] It should be noted that the illustrations provided in this embodiment are only schematic representations of the basic concept of the present invention. Although the illustrations only show components related to the present invention and are not drawn according to the actual number, shape and size of the components, the shape, quantity, positional relationship and proportion of each component can be arbitrarily changed under the premise of realizing the technical solution of this invention, and the layout of the components may also be more complex.

[0047] Example 1

[0048] This embodiment provides a method for the full lifecycle management of epoxy resin adhesive machines for ships, such as... Figure 1 The diagram shown is a flowchart of the full lifecycle management method for marine epoxy resin adhesive machines provided in this embodiment; the full lifecycle management method for marine epoxy resin adhesive machines includes the following steps:

[0049] S1: Install multiple data acquisition devices on the epoxy resin glue machine;

[0050] S2: Simultaneously acquire raw data from multiple data acquisition devices;

[0051] S3: Perform signal conditioning on the raw data to obtain conditioned data;

[0052] S4: Perform time-frequency conversion on the conditioning data, converting the time-domain signal into a frequency-domain signal, and extract feature data that characterizes the equipment status;

[0053] S5: Based on the comparison of feature data with preset thresholds, determine the operating status of the equipment and generate early warning information when abnormalities occur.

[0054] like Figure 2 The diagram shown is a schematic representation of the composition of the epoxy resin adhesive machine for ships provided in this embodiment; specifically, step S1: multiple data acquisition devices are installed on the epoxy resin adhesive machine;

[0055] Optional example: The data acquisition device includes multiple sensors and a timer for recording the time of glue outbound transfer. The sensors include at least a rotational torque sensor 10, a strain gauge 15, a pressure sensor 12, a Hall current sensor 11, an optical reflection sensor 16, a flow meter 13, and a thermometer.

[0056] Multiple data acquisition devices are installed on the epoxy resin glue machine, including: a rotational torque sensor 10 installed at the motor output end of the epoxy resin glue machine; a Hall current sensor 11 installed at the air switch of the gear pump of the epoxy resin glue machine; a pressure sensor 12, a flow meter 13, and a first thermometer 14 installed at the glue outlet pipe of the epoxy resin glue machine; a strain gauge 15 and an optical reflection sensor 16 installed at the pressure plate of the epoxy resin glue machine; a second thermometer 17 installed in the glue placement chamber of the epoxy resin glue machine; and a timer 18 installed on the outside of the glue tank of the epoxy resin glue machine.

[0057] like Figure 2 As shown: A rotary torque sensor 10 is installed at the motor output end of the epoxy resin adhesive machine. The epoxy resin adhesive machine includes a main agent system and a curing agent system. The main agent system includes a main agent motor; the curing agent system includes a curing agent motor. A rotary torque sensor 10 is installed on the drive shaft between the motor output end of the epoxy resin adhesive machine and the gear pump. The range of the rotary torque sensor 10 is selected according to the torque range of the actual rotating system. An example option is a dynamic torque sensor with a range of 0-200 N·m. During installation, it must be ensured that the sensor and the drive shaft are coaxial; a coupling can be used for connection to accurately monitor the actual torque transmitted by the drive system.

[0058] like Figure 2 As shown: A Hall current sensor 11 is installed at the air switch of the gear pump in the epoxy resin adhesive machine. The Hall current sensor 11 is installed at the power input terminal of the gear pump, and a Hall current sensor 11 is fitted at the air switch (or motor power line) driving the gear pump. The model of the Hall current sensor 11 matches the rated operating current of the gear pump. The Hall current sensor 11 is used to non-contactly monitor the operating current of the gear pump motor in real time to determine the pump load and electrical health status.

[0059] like Figure 2As shown: A pressure sensor 12, a flow meter 13, and a first thermometer 14 are installed at the dispensing pipe of the epoxy resin adhesive machine. Specifically, on the main dispensing pipe after the main agent pipeline and the curing agent pipeline of the epoxy resin adhesive machine are combined, the pressure sensor 12, the flow meter 13, and the first thermometer 14 are installed in sequence to detect the output status of the mixed adhesive. The pressure sensor 12 is used to monitor the real-time pressure of the dispensing adhesive; the flow meter 13 can be a volumetric flow meter suitable for high-viscosity fluids with low resistance to adhesive flow, including an oval gear flow meter, installed downstream of the pressure sensor 12 to measure the amount of adhesive dispensed per unit time; the first thermometer 14 can be an armored platinum resistance thermometer, with its temperature probe inserted into the adhesive flow or closely attached to the pipe wall, to monitor the temperature of the adhesive during the conveying process.

[0060] Strain gauges 15 and optical reflection sensors 16 are installed on the pressure plate of the epoxy resin adhesive applicator. The strain gauges 15 consist of a group of miniature strain gauges, typically forming a Wheatstone bridge. The strain gauges 15 can be attached to stress-sensitive areas of the pressure plate to detect instantaneous axial loads generated when adhesive comes into contact with the pressure plate or when air is expelled. The transmitting or receiving head of the optical reflection sensor 16 is aligned with the working surface of the pressure plate, and the degree of adhesive contamination on the pressure plate surface is quantitatively assessed by detecting changes in the intensity of reflected light.

[0061] A second thermometer 17 is installed in the glue storage compartment of the epoxy resin glue machine; a timer 18 is installed on the outside of the glue drums of the epoxy resin glue machine. The glue storage compartment includes a temperature-controlled storage chamber that can accommodate one or more glue drums containing epoxy resin glue. The second thermometer 17 includes a PT100 platinum resistance temperature sensor, which can be installed at a representative location inside the storage compartment, such as the center of the glue storage compartment or at the return air vent, to accurately monitor the air temperature of the storage environment inside the compartment. A timer 18 is installed on the outside of each glue drum. The timer 18 includes an electronic timer or an RFID time recording tag with a trigger button. It is used to record the cumulative transfer time since the current glue drum left the glue storage compartment. Optionally, when the glue drum is removed from the storage compartment and is ready to be transferred to the glue machine for use, this timer 18 can be manually started or automatically triggered.

[0062] Optional examples: Rotary torque sensor 10, Hall current sensor 11, pressure sensor 12, flow meter 13, first thermometer 14, strain gauge 15, optical reflection sensor 16, second thermometer 17, and timer 18 are all connected to the signal acquisition box for communication. The signal acquisition box is equipped with a multi-channel synchronous acquisition circuit and a hardware timer to ensure the synchronous acquisition of data from all sensors and to transmit the acquired raw data to the data processing unit for subsequent processing.

[0063] Step S2: Simultaneously acquire raw data from multiple data acquisition devices;

[0064] All data acquisition devices, including the rotary torque sensor 10, Hall current sensor 11, pressure sensor 12, flow meter 13, first thermometer 14, strain gauge 15, optical reflection sensor 16, second thermometer 17, and timer 18, are connected to a synchronous signal acquisition box. Optional example: The signal acquisition box contains a timer. When the timer reaches a set sampling period (e.g., 1 ms or 10 ms), a global trigger signal is sent to all analog-to-digital converter (ADC) channels, commanding all channels to latch and begin converting the current analog signal value simultaneously. This eliminates time deviations caused by channel delays.

[0065] The raw data includes: the drive shaft torque of the rotary torque sensor 10, including voltage or frequency signals, corresponding to the stress torque value; the instantaneous axial load of the pressure plate of the strain gauge 15, including micro-strain signals, calibrated to the corresponding load value; the pressure plate cleanliness of the optical reflection sensor 16, including voltage or digital signals, reflecting the reflectivity; the gear pump operating current of the Hall current sensor 11; the pressure of the dispensing tube of the pressure sensor 12; the flow rate of the dispensing tube of the flow meter 13; the glue temperature in the dispensing tube of the first thermometer 14 and the ambient temperature of the glue storage chamber from the second thermometer 17; and the glue bucket outgoing operation time of the timer 18.

[0066] Step S3: Perform signal conditioning on the raw data to obtain conditioned data; including amplifying small signals, filtering noise, compensating for environmental noise, automatically zeroing, and analog-to-digital conversion sampling on the raw signal.

[0067] Raw data acquired directly from signal acquisition devices typically contains interference, drift, and inconsistent dimensions, making it unsuitable for direct analysis. Therefore, it is necessary to format and process the raw data to a standardized format.

[0068] As an example, the specific process of signal conditioning includes, in sequence: amplification of small signals, noise filtering, environmental compensation, automatic zeroing and analog-to-digital conversion, which transforms the original sensor signal into a standardized high-quality signal suitable for acquisition, processing and identification, thereby realizing sensor signal conditioning.

[0069] Minimal Signal Amplification: For sensors with weak output signals, the signal is first amplified by a high-precision, low-noise instrumentation amplifier circuit. The amplification factor (gain) is precisely calculated and set based on the sensor's sensitivity and the range of the subsequent ADC to ensure that the minute signal is amplified to the optimal voltage range suitable for sampling, while preserving the most effective information. Taking the millivolt-level micro-strain signal generated by strain gauge 15 as an example, this can be achieved through core circuit design or a 6-wire compensation principle. The focus of core circuit design is on calculating the gain formula; the 6-wire compensation principle effectively eliminates the voltage drop due to wire resistance by directly detecting the sensor voltage.

[0070] Noise Filtering: To suppress noise such as electromagnetic interference and power frequency interference on site, a multi-stage filtering strategy is adopted, which can be implemented through hardware filtering circuit design or software filtering algorithm. Environmental Compensation: This mainly corrects the characteristic drift of the sensor itself, including temperature drift compensation and automatic zeroing. For example, using the reference data of the first thermometer 14 and the second thermometer 17, the temperature-drift calibration curves of each pressure sensor 12 and strain gauge 15 are found, and the drift is subtracted from the current reading in real time to ensure the accuracy of the data under different ambient temperatures. Automatic Zeroing: During equipment startup or idle phases, the system automatically executes the zeroing routine. For example, when it is confirmed that there is no pressure on the hose and no load on the pressure plate, the current output values ​​of the pressure sensor 12 and strain gauge 15 are recorded as the zero-point reference to eliminate the initial offset error of the sensor.

[0071] Analog-to-digital converter (ADC) sampling is a core step in converting conditioned analog signals into signals that can be processed by digital systems. Its purpose is to convert, with high fidelity, the amplified, filtered, and compensated continuous-time analog voltage signal into discrete digital codes, forming conditioned data that can be used for algorithm analysis. Specifically, ADC sampling converts the sensor's continuous analog signal into a discrete digital signal through steps such as discretization sampling, quantization, and encoding, facilitating subsequent processing of the sensor signal.

[0072] Step S4: Perform time-frequency conversion on the conditioning data, converting the time-domain signal into a frequency-domain signal, and extract feature data representing the equipment status;

[0073] As an example: the time-frequency conversion uses Fast Fourier Transform (FFT). For conditioned data sequences with periodic or quasi-periodic characteristics, such as the drive shaft torque signal obtained by the rotary torque sensor 10 and the strain signal obtained by the strain gauge 12, the FFT algorithm is called to obtain the complex spectrum of the signal at multiple discrete frequency points. Its amplitude (or power) spectrum intuitively reveals the intensity distribution of each frequency component in the signal. For example, an abnormal increase in the energy of a specific harmonic frequency (such as the second harmonic of the rotational frequency) in the drive shaft torque signal obtained by the rotary torque sensor 10 may indicate misalignment of the coupling or premature wear of the bearing.

[0074] After obtaining the spectral data, the system automatically calculates and extracts a set of key feature data that can quantitatively characterize the current operating status. The feature data includes time-domain feature data and frequency-domain feature data. Specifically, the time-domain feature data includes data calculated directly from the time-domain waveform of the conditioning data, including peak value (reflecting instantaneous impact intensity), root mean square value (reflecting the average energy of the signal), kurtosis (sensitive to impact signals and a sensitive indicator of early faults), and waveform factors. The frequency-domain feature data includes data extracted from the amplitude spectrum after FFT transformation, including the amplitude or energy of specific frequency bands (such as the bearing fault characteristic frequency band or gear meshing frequency band), the spectral centroid (reflecting changes in the frequency distribution position), and the spectral peaks and their corresponding frequencies.

[0075] Step S5: Based on the comparison of feature data with preset thresholds, determine the operating status of the equipment and generate early warning information when abnormalities occur.

[0076] like Figure 3 The flowchart shown illustrates the comparison between the feature data provided in this embodiment and preset thresholds. Determining the equipment's operating status includes: if the torque on the drive shaft acquired by the rotary torque sensor is greater than the theoretical maximum torque of the drive shaft, it is determined that the drive shaft is overloaded; and / or if the instantaneous axial load on the pressure plate monitored by the strain gauge exceeds its bearing threshold, it is determined that the pressure plate is overloaded; and / or if the cleanliness of the pressure plate monitored by the optical reflection sensor does not reach the operating threshold, it is determined that the pressure plate is abnormally clean; and / or if the operating current of the gear pump monitored by the Hall current sensor exceeds its rated current, it is determined that the current is overloaded; and / or if the temperature monitored by the first thermometer and / or the second thermometer is lower than the adhesive's operating temperature threshold, it is determined that the adhesive is undergoing low-temperature curing; and / or if the outbound operation time recorded by the timer located outside the adhesive bucket exceeds the time safety threshold, it is determined that the adhesive transfer has timed out. Note: Figure 3 Abnormal situations are only shown; phenomena without abnormalities are not shown in the diagram. For example, when the torque of the rotating shaft is less than the torque threshold, it indicates that the rotating shaft is not overloaded and is within the normal working range.

[0077] like Figure 4The diagram shows a flowchart illustrating the process of determining the equipment's operating status based on the combination of pressure and flow rate from the dispensing hose. The system first checks if the dispensing hose pressure exceeds a high pressure threshold. If it does, it further checks the flow rate: if the flow rate is normal, it indicates an abnormal system pressure setting or gear pump overload; if the flow rate is below a low threshold, it indicates severe pipe blockage or abnormal glue viscosity; if the flow rate is above a high threshold, it indicates a malfunction in the flow meter or control system. If the pressure does not exceed the high threshold, it checks if the pressure is normal. If the pressure is below a low threshold, it further checks the flow rate: if the flow rate is below a low threshold, it indicates the system is not working or the pipe is completely blocked; if the flow rate is above a high threshold, it indicates a serious leak in the pipe or a malfunction in the pump's metering function. When the process status is normal, it indicates insufficient system pressure, decreased pump efficiency, or a minor leak. If the pressure is normal, then the flow rate of the pipeline is further assessed: if the flow rate is normal, the rubber system is considered to be normal; if the flow rate is below the low threshold, the pipeline is considered to be slightly throttled or blocked; if the flow rate is above the high threshold, the flow meter may be inaccurate or the pump may be over-pumped.

[0078] Specifically, the system generates early warning information for the various abnormal situations mentioned above, and outputs the early warning information to the operator in real time through at least one of the following methods: human-machine interface, sound and light alarm device or mobile terminal.

[0079] Example 2

[0080] This embodiment provides a lifecycle management system for marine epoxy resin adhesive machines, used to implement the lifecycle management method for marine epoxy resin adhesive machines described in Embodiment 1. Figure 5 As shown, the full lifecycle management system for marine epoxy resin adhesive machines includes: a data acquisition module 20, a data processing and analysis module 21, a diagnostic and early warning module 22, and an equipment information management module 23. The data acquisition module 20 is used to synchronously acquire data from multiple sensors installed on the epoxy resin adhesive machine. The data processing and analysis module 21 is used to process, convert, and extract features from the collected data. The diagnostic and early warning module 22 is used to diagnose faults based on the extracted features and generate early warning information. The equipment information management module 23 is used to manage the comprehensive information of the full lifecycle management system for marine epoxy resin adhesive machines and serves as a human-machine interaction platform.

[0081] Specifically, the data acquisition module 20 is installed on the signal acquisition device on the epoxy resin adhesive machine, including a rotational torque sensor, strain gauge, pressure sensor, Hall current sensor, optical reflection sensor, flow meter, thermometer, and timer, which are connected for communication. The data acquisition module 20 has a built-in timer to ensure that data acquired by all sensors is sampled at the same time to obtain raw data. The data processing and analysis module 21 is used for in-depth processing of the raw data. Specific processing steps are described in Example 1. Feature data characterizing the health status of the equipment is extracted from both the raw and processed data. The diagnostic early warning module 22 compares and judges the feature data with preset thresholds. For cases deemed abnormal, an early warning message is generated. Specifically, the early warning message includes at least a fault code, location of occurrence, severity level, real-time data, exceeding threshold, and preliminary handling suggestions.

[0082] The equipment information management module 23 includes a file management submodule, a data service submodule, and a diagnostic interaction submodule. The file management submodule is used to maintain basic equipment information, maintenance logs, repair logs, inspection records, and spare parts information; the data service submodule is used to store and provide access to equipment manuals, operation and maintenance manuals, and training videos; the diagnostic interaction submodule is used to display alarm information generated by the diagnostic warning module to the user, provide operation and maintenance prompts, and support post-repair status confirmation and alarm cancellation.

[0083] Optionally, the lifecycle management system for marine epoxy resin adhesive machines also includes: a data statistics and analysis module and a system management module; the data statistics and analysis module is used to classify and statistically analyze historical equipment fault data over time and display it in chart form; the system management module is used to manage system user permissions and operation logs.

[0084] Example 3

[0085] This embodiment provides a lifecycle management device for a marine epoxy resin adhesive machine, used to implement the lifecycle management method for a marine epoxy resin adhesive machine described in Embodiment 1. The lifecycle management device for a marine epoxy resin adhesive machine includes: a signal acquisition device, installed on the epoxy resin adhesive machine, for real-time acquisition of the status of the epoxy resin adhesive machine; a signal acquisition box, communicatively connected to the signal acquisition device, for synchronously acquiring raw data; and a processor, communicatively connected to the signal acquisition box, for processing the raw data.

[0086] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. A method for full life-cycle management of epoxy resin adhesive machines for ships, characterized in that, Includes the following steps: Multiple data acquisition devices are installed on the epoxy resin glue machine; Simultaneously collect raw data from the multiple data acquisition devices; The raw data is subjected to signal conditioning to obtain conditioned data; The conditioning data is converted from time to frequency to extract characteristic data representing the state of the epoxy resin adhesive machine. Based on the comparison of the feature data with the preset threshold, the operating status of the epoxy resin adhesive machine is determined, and an early warning message is generated when an abnormality occurs.

2. The method for full life-cycle management of marine epoxy resin adhesive machines according to claim 1, characterized in that, The data acquisition device includes multiple sensors and a timer for recording the time of glue outbound transfer. The sensors include at least a rotational torque sensor, a strain gauge, a pressure sensor, a Hall current sensor, an optical reflection sensor, a flow meter, and a thermometer.

3. The method for full life-cycle management of marine epoxy resin adhesive machines according to claim 1, characterized in that, Multiple data acquisition devices are installed on the epoxy resin glue machine, including: A rotational torque sensor is installed at the motor output end of the epoxy resin glue machine; a Hall current sensor is installed at the air switch of the gear pump of the epoxy resin glue machine; a pressure sensor, a flow meter, and a first thermometer are installed at the glue outlet pipe of the epoxy resin glue machine; a strain gauge and an optical reflection sensor are installed at the pressure plate of the epoxy resin glue machine; a second thermometer is installed in the glue placement chamber of the epoxy resin glue machine; and a timer is installed on the outside of the glue tank of the epoxy resin glue machine.

4. The method for full life-cycle management of marine epoxy resin adhesive machines according to claim 3, characterized in that, The raw data includes: the torque on the drive shaft, the instantaneous axial load on the pressure plate, the cleanliness of the pressure plate, the operating current of the gear pump, the pressure of the dispensing pipe, the flow rate of the dispensing pipe, the temperature monitored by the first thermometer and the second thermometer, and the outbound operation time recorded by the timer.

5. The method for full life-cycle management of marine epoxy resin adhesive machines according to claim 1, characterized in that, The process of obtaining conditioned data by signal conditioning the raw data includes: amplifying the raw signal, filtering noise, compensating for environmental noise, automatically zeroing the signal, and performing analog-to-digital conversion sampling.

6. The method for full life-cycle management of marine epoxy resin adhesive machines according to claim 4, characterized in that, Determining the device operating status based on the comparison between the feature data and a preset threshold includes: If the torque on the drive shaft obtained by the rotary torque sensor is greater than the theoretical maximum torque of the drive shaft, then the drive shaft is determined to be overloaded. And / or if the instantaneous axial load of the pressure plate monitored by the strain gauge exceeds its bearing threshold, the pressure plate is determined to be overloaded; And / or if the cleanliness of the pressure plate monitored by the optical reflection sensor does not reach the operating threshold, the pressure plate is determined to be abnormally clean; And / or if the operating current of the gear pump monitored by the Hall current sensor exceeds its load range, it is determined to be a current overload; And / or if the temperature monitored by the first thermometer and / or the second thermometer is lower than the working temperature threshold of the adhesive, it is determined that the adhesive is curing at low temperature; And / or if the outbound operation time recorded by the timer located outside the glue bucket exceeds the time safety threshold, it is determined that the glue transfer has timed out.

7. The method for full life-cycle management of marine epoxy resin adhesive machines according to claim 6, characterized in that, Also includes: The judgment is made based on the combination of pressure and flow rate of the dispensing tube: If the pressure exceeds the high pressure threshold while the flow rate is within the normal flow range, it is determined that the system pressure setting is abnormal or the gear pump is overloaded. If the flow rate is lower than the low flow rate threshold, it is determined that the pipeline is severely blocked or the adhesive viscosity is abnormal. If the pressure is within the normal pressure range and the flow rate is below the low flow rate threshold, it is determined that the pipeline is slightly throttled or blocked. If the pressure is lower than the low pressure threshold and the flow rate is higher than the high flow rate threshold, it is determined that there may be a leak in the pipeline or that the pump metering is out of control. If both pressure and flow rate are within their normal ranges, the adhesive circuit system is considered to be in normal condition.

8. A life-cycle management system for marine epoxy resin adhesive machines, characterized in that, The method for full lifecycle management of marine epoxy resin adhesive machines as described in claims 1-7, wherein the full lifecycle management system for marine epoxy resin adhesive machines includes: The data acquisition module is used to synchronously acquire the raw data collected by the data acquisition device installed on the epoxy resin glue machine; The data processing and analysis module is used to condition, perform time-frequency conversion, and extract features from the raw data; The diagnostic and early warning module is used to diagnose faults based on the extracted feature information and generate early warning information. The equipment information management module is used to manage the comprehensive information of the full life cycle management system of the marine epoxy resin glue machine, and serves as a human-machine interaction platform.

9. A life-cycle management device for marine epoxy resin adhesive machines, characterized in that, The device for managing the entire lifecycle of a marine epoxy resin adhesive machine, as described in claims 1-7, comprises: A signal acquisition device is installed on the epoxy resin glue machine to acquire the status of the epoxy resin glue machine in real time. The signal acquisition box is communicatively connected to the signal acquisition device and is used to synchronously acquire raw data; The processor, which is communicatively connected to the signal acquisition box, is used to process the raw data.

Images