A ship engine room monitoring alarm method and system

Abstract

The present application discloses a ship engine room monitoring alarm method and system, which relates to the field of monitoring and analysis technology, and includes collecting mechanical data corresponding to key parts of target equipment at each monitoring time point; performing data processing and analysis on the mechanical data, and analyzing the qualified mechanical parameters corresponding to the target equipment; collecting electrical data corresponding to the target equipment in a working state; performing data processing and analysis on the electrical data of the target equipment in a working state, and analyzing the qualified electrical parameters corresponding to the target equipment; confirming the noise value-time curve corresponding to the target equipment in a working state, processing and analyzing the noise value-time curve, and confirming the qualified noise parameters corresponding to the target equipment; confirming the comprehensive analysis index corresponding to the target equipment, and performing early warning processing based on the comprehensive analysis index corresponding to the target equipment. The present application has the effect of improving the safety of ships and personnel in the ships.

Description

Technical Field

[0001] The present application relates to the field of monitoring and analysis technology, and in particular to a ship engine room monitoring and alarm method and system. Background Art

[0002] Ships are man-made vehicles that mainly operate in geographical waters. In addition, civilian ships are generally called ships, military ships are called warships, and small ships are called boats or boats. The general term for them is ships or boats. The interior mainly includes accommodation space, support structure and drainage structure, and has a propulsion system that uses external or self-contained energy. Ships play a very important role in national defense, national economy and marine development.

[0003] In the related technology, some equipment in the ship's engine room is maintained and inspected by the staff, which results in a single inspection method and makes it impossible to obtain the operating status of some equipment in the ship's engine room in real time, thereby increasing the probability of damage to the equipment in the ship's engine room, thereby further reducing the safety of the ship and the personnel on board. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present application provides a ship engine room monitoring alarm method and system.

[0005] In a first aspect, the present application provides a ship engine room monitoring alarm method, comprising the following steps:

[0006] Data acquisition devices are deployed at key locations of target equipment in the ship's engine room, thereby acquiring mechanical data corresponding to key locations of the target equipment at each monitoring time point;

[0007] Perform data processing and analysis on the mechanical data collected by the target equipment at each monitoring time point, and thereby obtain the qualified status of the mechanical parameters corresponding to the target equipment;

[0008] By monitoring the working state of the target device, the electrical data corresponding to the target device in the working state is collected;

[0009] Perform data processing and analysis on the electrical data of the target equipment in working state, and thereby obtain the qualified status of the electrical parameters corresponding to the target equipment;

[0010] Confirm the noise value-time curve corresponding to the target device in the working state, and process and analyze the noise value-time curve to confirm the qualification of the noise parameters corresponding to the target device;

[0011] The comprehensive analysis index corresponding to the target device is confirmed according to the qualified conditions of the mechanical parameters, electrical parameters and noise parameters corresponding to the target device, and then early warning processing is performed based on the comprehensive analysis index corresponding to the target device.

[0012] Preferably, the mechanical data corresponding to the key parts of the target equipment at each monitoring time point include equipment rotation speed, vibration frequency and component offset.

[0013] Preferably, the data processing and analysis of the mechanical data collected from the target equipment at each monitoring time point specifically includes:

[0014] A monitoring device is arranged at a key position of the target device, and the actual device speed corresponding to the target device at different powers is obtained based on the monitoring device, and the reference device speed corresponding to the target device at different powers is extracted from the cloud database, and the actual device speed corresponding to the target device at the same power is processed with the reference device speed, and the processing result is stored in the device speed deviation set, and then the device speed deviation index α1 corresponding to the target device is confirmed based on the device speed deviation set;

[0015] The actual vibration frequency of the target device in working state is extracted from the monitoring device, and the target device is compared with each device type stored in the cloud database to obtain the reference vibration frequency of the target device in working state. The vibration frequency deviation index α2 corresponding to the target device is obtained, where P 实际 , P 参考 They represent the actual vibration frequency and reference vibration frequency of the target equipment under working condition, ΔP represents the allowable vibration frequency difference, and ω1 represents the correction coefficient corresponding to the vibration frequency deviation index;

[0016] Obtain the factory setting position of the key part of the target device, set the factory setting position as the reference position corresponding to the key part of the target device, extract the actual position corresponding to the key part of the target device from the monitoring device, and then confirm the component offset corresponding to the target device based on the reference position corresponding to the key part of the target device and the actual position corresponding to the key part of the target device, and calculate the value by the formula The component offset index α3 corresponding to the target device is obtained, where Lpy represents the component offset corresponding to the target device, L′ represents the allowable offset corresponding to the target device, and ω2 represents the correction coefficient corresponding to the component offset index.

[0017] Preferably, the analysis obtains the qualified status of the mechanical parameters corresponding to the target equipment, specifically including:

[0018] Substitute the device speed deviation index α1 corresponding to the target device, the vibration frequency deviation index α2 corresponding to the target device, and the component offset index α3 corresponding to the target device into the formula The mechanical parameter qualification coefficient corresponding to the target equipment is calculated, where ψ1, ψ2, and ψ3 represent the weight coefficients corresponding to the equipment speed deviation index, vibration frequency deviation index, and component offset index of the target equipment, respectively.

[0019] Preferably, data processing and analysis are performed on the electrical data of the target device in the working state, thereby analyzing and obtaining the qualified electrical parameters corresponding to the target device, specifically including:

[0020] Confirm that the target device is in a working state, and extract the output voltage set and the output current set corresponding to the target device based on the monitoring device, and filter out the maximum output voltage Umax and the minimum output voltage Umin from the output voltage set corresponding to the target device, and filter out the maximum output current Imax and the minimum output current Imin from the output current set corresponding to the target device;

[0021] By calculating the formula The electrical parameter qualification coefficient β corresponding to the target device is calculated, where ΔU and ΔI represent the allowable output voltage difference and the allowable output current difference, respectively, and μ1 and μ2 represent the weight coefficients corresponding to the output voltage and the output current, respectively.

[0022] Preferably, the confirming whether the noise parameters corresponding to the target device are qualified specifically includes:

[0023] Obtain the noise value corresponding to the target device at each acquisition time node, draw a noise value-time curve based on the noise value and the acquisition time node, and obtain the historical noise value-time curve of the target device in the working state, set the historical noise value-time curve of the target device in the working state as a reference curve graph, compare the noise value-time curve corresponding to the target device in the working state with the reference curve graph, and then screen out the noise difference corresponding to the target device at each acquisition time node;

[0024] By calculating the formula The noise parameter qualification coefficient γ corresponding to the target device is obtained, where i represents the number corresponding to each acquisition time node, i=1, 2, 3...j, Ki and K′i represent the noise value and reference noise value corresponding to the target device at the i-th acquisition time node, ΔK represents the allowable noise difference, and φ represents the correction coefficient corresponding to the noise parameter qualification coefficient.

[0025] Preferably, the identifying the comprehensive analysis index corresponding to the target device and then performing early warning processing based on the comprehensive analysis index corresponding to the target device specifically includes:

[0026] Substitute the mechanical parameter qualification coefficient corresponding to the target device, the electrical parameter qualification coefficient corresponding to the target device, and the noise parameter qualification coefficient corresponding to the target device into the formula ξ=α*b1+β*b2+γ*b3, and calculate the comprehensive analysis index ξ corresponding to the target device, where b1, b2, and b3 represent the weight coefficients corresponding to the mechanical parameter qualification coefficient, the electrical parameter qualification coefficient, and the noise parameter qualification coefficient, respectively;

[0027] Compare the comprehensive analysis index ξ corresponding to the target device with the preset threshold;

[0028] If the comprehensive analysis index ξ corresponding to the target device is between [ξ0,ξ1], no warning is required, where ξ0 and ξ1 represent the first preset coefficient and the second preset coefficient respectively;

[0029] If the comprehensive analysis index ξ corresponding to the target device is between [ξ1,ξ2], the warning process is performed according to the first warning method, where ξ2 represents the third preset coefficient;

[0030] When the comprehensive analysis index ξ corresponding to the target device exceeds ξ2, a warning process is performed according to the second warning method.

[0031] In a second aspect, the present application provides a ship engine room monitoring alarm system, comprising:

[0032] The mechanical data acquisition module is used to deploy data acquisition devices at key locations of target equipment in the ship's engine room, thereby acquiring mechanical data corresponding to key locations of the target equipment at each monitoring time point;

[0033] The mechanical parameter qualification analysis module is used to process and analyze the mechanical data collected by the target equipment at each monitoring time point, thereby analyzing and obtaining the qualification status of the mechanical parameters corresponding to the target equipment;

[0034] The electrical data collection module is used to collect the electrical data corresponding to the target device in the working state by monitoring the working state of the target device;

[0035] The electrical parameter qualification analysis module is used to process and analyze the electrical data of the target device in the working state, thereby analyzing and obtaining the electrical parameter qualification status corresponding to the target device;

[0036] A noise parameter acquisition and analysis module is used to confirm the noise value-time curve corresponding to the target device in the working state, and process and analyze the noise value-time curve to confirm the qualification of the noise parameters corresponding to the target device;

[0037] The early warning processing module is used to confirm the comprehensive analysis index corresponding to the target device according to the qualified conditions of the mechanical parameters, electrical parameters and noise parameters corresponding to the target device, and then perform early warning processing based on the comprehensive analysis index corresponding to the target device.

[0038] In a third aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute any one of the ship engine room monitoring and alarm methods described above.

[0039] In summary, the present application includes at least one of the following beneficial technical effects:

[0040] 1. The present invention provides a ship engine room monitoring and alarm method, which collects and analyzes the mechanical data, electrical data and noise values ​​of target equipment in the ship engine room, thereby confirming the comprehensive analysis index corresponding to the target equipment, and performing early warning processing based on the comprehensive analysis index corresponding to the target equipment, thereby effectively reducing the occurrence of equipment failures in the ship engine room and improving the safety of the ship and the personnel in the ship;

[0041] 2. By processing and analyzing the equipment speed deviation index, vibration frequency deviation index and component offset index corresponding to the target equipment, the mechanical parameter qualification coefficient corresponding to the target equipment is confirmed. By collecting and analyzing the output voltage and output current corresponding to the target equipment, the electrical parameter qualification coefficient corresponding to the target equipment is confirmed. By processing and analyzing the noise value of the target equipment at each collection time node, the noise parameter qualification coefficient corresponding to the target equipment is confirmed, thereby effectively providing data guarantee for the comprehensive analysis index corresponding to the target equipment, thereby effectively reducing the occurrence of equipment failures in the ship's engine room and improving the safety of the ship and personnel on board. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is a flow chart of the method for monitoring and alarming the ship engine room according to an embodiment of the present application.

[0043] Figure 2 It is a system schematic diagram of the ship engine room monitoring and alarm according to an embodiment of the present application. DETAILED DESCRIPTION

[0044] The following is combined with Figure 1-2 This application is described in further detail.

[0045] Example 1

[0046] The embodiment of the present application discloses a ship engine room monitoring and alarm method.

[0047] Reference Figure 1 , a ship engine room monitoring alarm method, comprising the following steps:

[0048] S1. Arrange data acquisition devices at key parts of target equipment in the ship's engine room, and then collect mechanical data corresponding to key parts of the target equipment at each monitoring time point;

[0049] S2. Process and analyze the mechanical data collected by the target equipment at each monitoring time point, thereby analyzing and determining the qualified status of the mechanical parameters corresponding to the target equipment;

[0050] S3. By monitoring the working state of the target device, the electrical data corresponding to the target device in the working state is collected;

[0051] S4. Perform data processing and analysis on the electrical data of the target device in the working state, thereby analyzing and determining the qualified electrical parameters corresponding to the target device;

[0052] S5. Confirm the noise value-time curve corresponding to the target device in the working state, and process and analyze the noise value-time curve to confirm the qualified condition of the noise parameters corresponding to the target device;

[0053] S6. Confirm the comprehensive analysis index corresponding to the target device according to the qualified status of the mechanical parameters, electrical parameters and noise parameters of the target device, and then perform early warning processing based on the comprehensive analysis index corresponding to the target device.

[0054] Furthermore, the mechanical data corresponding to the key parts of the target equipment at each monitoring time point include equipment rotation speed, vibration frequency and component offset.

[0055] Specifically, the target device can be set to the corresponding switch, industrial computer, display, printer and other devices in the ship's engine room.

[0056] It should be noted that in step S2, the mechanical data collected by the target equipment at each monitoring time point is processed and analyzed, specifically including:

[0057] A monitoring device is arranged at a key position of the target device, and the actual device speed corresponding to the target device at different powers is obtained based on the monitoring device, and the reference device speed corresponding to the target device at different powers is extracted from the cloud database, and the actual device speed corresponding to the target device at the same power is processed with the reference device speed, and the processing result is stored in the device speed deviation set, and then the device speed deviation index α1 corresponding to the target device is confirmed based on the device speed deviation set;

[0058] Specifically, the actual device speed corresponding to the target device at different powers is confirmed through a speed sensor.

[0059] The actual vibration frequency of the target device in working state is extracted from the monitoring device, and the target device is compared with each device type stored in the cloud database to obtain the reference vibration frequency of the target device in working state. The vibration frequency deviation index α2 corresponding to the target device is obtained, where P 实际 , P 参考 They represent the actual vibration frequency and reference vibration frequency of the target equipment under working condition, ΔP represents the allowable vibration frequency difference, and ω1 represents the correction coefficient corresponding to the vibration frequency deviation index;

[0060] Obtain the factory setting position of the key part of the target device, set the factory setting position as the reference position corresponding to the key part of the target device, extract the actual position corresponding to the key part of the target device from the monitoring device, and then confirm the component offset corresponding to the target device based on the reference position corresponding to the key part of the target device and the actual position corresponding to the key part of the target device, and calculate the value by the formula The component offset index α3 corresponding to the target device is obtained, where Lpy represents the component offset corresponding to the target device, L′ represents the allowable offset corresponding to the target device, and ω2 represents the correction coefficient corresponding to the component offset index.

[0061] Specifically, the actual position corresponding to the key parts of the target equipment is detected and obtained through a video monitoring device.

[0062] Furthermore, the analysis shows that the mechanical parameters of the target equipment are qualified, including:

[0063] Substitute the device speed deviation index α1 corresponding to the target device, the vibration frequency deviation index α2 corresponding to the target device, and the component offset index α3 corresponding to the target device into the formula The mechanical parameter qualification coefficient corresponding to the target equipment is calculated, where ψ1, ψ2, and ψ3 represent the weight coefficients corresponding to the equipment speed deviation index, vibration frequency deviation index, and component offset index of the target equipment, respectively.

[0064] It should be further explained that in step S4, the electrical data of the target device in the working state is processed and analyzed, and the qualified electrical parameters corresponding to the target device are obtained by analysis, specifically including:

[0065] Confirm that the target device is in a working state, and extract the output voltage set and the output current set corresponding to the target device based on the monitoring device, and filter out the maximum output voltage Umax and the minimum output voltage Umin from the output voltage set corresponding to the target device, and filter out the maximum output current Imax and the minimum output current Imin from the output current set corresponding to the target device;

[0066] By calculating the formula The electrical parameter qualification coefficient β corresponding to the target device is calculated, where ΔU and ΔI represent the allowable output voltage difference and the allowable output current difference, respectively, and μ1 and μ2 represent the weight coefficients corresponding to the output voltage and the output current, respectively.

[0067] It should be noted that the confirmation of the noise parameter qualification of the target device in step S5 specifically includes:

[0068] Obtain the noise value corresponding to the target device at each acquisition time node, draw a noise value-time curve based on the noise value and the acquisition time node, and obtain the historical noise value-time curve of the target device in the working state, set the historical noise value-time curve of the target device in the working state as a reference curve graph, compare the noise value-time curve corresponding to the target device in the working state with the reference curve graph, and then screen out the noise difference corresponding to the target device at each acquisition time node;

[0069] By calculating the formula The noise parameter qualification coefficient γ corresponding to the target device is obtained, where i represents the number corresponding to each acquisition time node, i=1, 2, 3...j, Ki and K′i represent the noise value and reference noise value corresponding to the target device at the i-th acquisition time node, ΔK represents the allowable noise difference, and φ represents the correction coefficient corresponding to the noise parameter qualification coefficient.

[0070] Furthermore, the step of confirming the comprehensive analysis index corresponding to the target device and then performing early warning processing based on the comprehensive analysis index corresponding to the target device specifically includes:

[0071] Substitute the mechanical parameter qualification coefficient corresponding to the target device, the electrical parameter qualification coefficient corresponding to the target device, and the noise parameter qualification coefficient corresponding to the target device into the formula ξ=α*b1+β*b2+γ*b3, and calculate the comprehensive analysis index ξ corresponding to the target device, where b1, b2, and b3 represent the weight coefficients corresponding to the mechanical parameter qualification coefficient, the electrical parameter qualification coefficient, and the noise parameter qualification coefficient, respectively;

[0072] Compare the comprehensive analysis index ξ corresponding to the target device with the preset threshold;

[0073] If the comprehensive analysis index ξ corresponding to the target device is between [ξ0,ξ1], no warning is required, where ξ0 and ξ1 represent the first preset coefficient and the second preset coefficient respectively;

[0074] If the comprehensive analysis index ξ corresponding to the target device is between [ξ1,ξ2], the warning process is performed according to the first warning method, where ξ2 represents the third preset coefficient;

[0075] When the comprehensive analysis index ξ corresponding to the target device exceeds ξ2, a warning process is performed according to the second warning method.

[0076] Specifically, in the embodiment of the present application, the first warning mode is set to repair the target device, and the second warning mode is set to replace the target device.

[0077] Specifically, the system also includes an equipment historical alarm data query module, which is used to facilitate the query of information within a specified time period and trace back the operation and alarm status of each device.

[0078] It also includes a user authority login module, which is used to divide and manage the authority of different users and to perform unified user management for all systems on the ship.

[0079] It also includes a data export module, which is used to export the queried historical alarms and historical data through the data export function. The export path and export format can be freely selected.

[0080] Example 2

[0081] The embodiment of the present application also discloses a ship engine room monitoring and alarm system.

[0082] Reference Figure 2 , a ship engine room monitoring alarm system, comprising:

[0083] The mechanical data acquisition module is used to deploy data acquisition devices at key locations of target equipment in the ship's engine room, thereby acquiring mechanical data corresponding to key locations of the target equipment at each monitoring time point;

[0084] The mechanical parameter qualification analysis module is used to process and analyze the mechanical data collected by the target equipment at each monitoring time point, thereby analyzing and obtaining the qualification status of the mechanical parameters corresponding to the target equipment;

[0085] The electrical data collection module is used to collect the electrical data corresponding to the target device in the working state by monitoring the working state of the target device;

[0086] The electrical parameter qualification analysis module is used to process and analyze the electrical data of the target device in the working state, thereby analyzing and obtaining the electrical parameter qualification status corresponding to the target device;

[0087] A noise parameter acquisition and analysis module is used to confirm the noise value-time curve corresponding to the target device in the working state, and process and analyze the noise value-time curve to confirm the qualification of the noise parameters corresponding to the target device;

[0088] The early warning processing module is used to confirm the comprehensive analysis index corresponding to the target device according to the qualified conditions of the mechanical parameters, electrical parameters and noise parameters corresponding to the target device, and then perform early warning processing based on the comprehensive analysis index corresponding to the target device.

[0089] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

[0090] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0091] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A ship engine room monitoring and alarm method, characterized in that: The following steps are involved: Data acquisition devices are deployed at key locations of target equipment in the ship's engine room, thereby acquiring mechanical data corresponding to key locations of the target equipment at each monitoring time point; Perform data processing and analysis on the mechanical data collected by the target equipment at each monitoring time point, and thereby obtain the qualified status of the mechanical parameters corresponding to the target equipment; By monitoring the working state of the target device, the electrical data corresponding to the target device in the working state is collected; Perform data processing and analysis on the electrical data of the target equipment in working state, and thereby obtain the qualified status of the electrical parameters corresponding to the target equipment; Confirm the noise value-time curve corresponding to the target device in the working state, and process and analyze the noise value-time curve to confirm the qualification of the noise parameters corresponding to the target device; According to the qualified conditions of mechanical parameters, electrical parameters and noise parameters of the target equipment, a comprehensive analysis index corresponding to the target equipment is determined, and then an early warning process is performed based on the comprehensive analysis index corresponding to the target equipment; The mechanical data corresponding to the key parts of the target equipment at each monitoring time point include equipment rotation speed, vibration frequency and component offset; the data processing and analysis of the mechanical data collected from the target equipment at each monitoring time point specifically includes: A monitoring device is arranged at a key position of the target device, and the actual device speed corresponding to the target device at different powers is obtained based on the monitoring device, and the reference device speed corresponding to the target device at different powers is extracted from the cloud database, and the actual device speed corresponding to the target device at the same power is processed with the reference device speed, and the processing result is stored in the device speed deviation set, and then the device speed deviation index α1 corresponding to the target device is confirmed based on the device speed deviation set; The actual vibration frequency of the target device in working state is extracted from the monitoring device, and the target device is compared with each device type stored in the cloud database to obtain the reference vibration frequency of the target device in working state. The vibration frequency deviation index α2 corresponding to the target device is obtained, where P 实际 , P 参考 They represent the actual vibration frequency and reference vibration frequency of the target equipment under working condition, ΔP represents the allowable vibration frequency difference, and ω1 represents the correction coefficient corresponding to the vibration frequency deviation index; Obtain the factory setting position of the key part of the target device, set the factory setting position as the reference position corresponding to the key part of the target device, extract the actual position corresponding to the key part of the target device from the monitoring device, and then confirm the component offset corresponding to the target device based on the reference position corresponding to the key part of the target device and the actual position corresponding to the key part of the target device, and calculate the value by the formula The component offset index α3 corresponding to the target device is obtained, where Lpy represents the component offset corresponding to the target device, L′ represents the allowable offset corresponding to the target device, and ω2 represents the correction coefficient corresponding to the component offset index; The analysis results in the qualified status of the mechanical parameters corresponding to the target equipment, including: Substitute the device speed deviation index α1 corresponding to the target device, the vibration frequency deviation index α2 corresponding to the target device, and the component offset index α3 corresponding to the target device into the formula The mechanical parameter qualification coefficient corresponding to the target equipment is calculated, wherein ψ1, ψ2, and ψ3 represent the weight coefficients corresponding to the equipment speed deviation index, the vibration frequency deviation index, and the component offset index of the target equipment, respectively; Perform data processing and analysis on the electrical data of the target equipment in working state, and obtain the qualified status of the electrical parameters corresponding to the target equipment, including: Confirm that the target device is in a working state, and extract the output voltage set and the output current set corresponding to the target device based on the monitoring device, and filter out the maximum output voltage Umax and the minimum output voltage Umin from the output voltage set corresponding to the target device, and filter out the maximum output current Imax and the minimum output current Imin from the output current set corresponding to the target device; By calculating the formula The electrical parameter qualification coefficient β corresponding to the target device is calculated, where ΔU and ΔI represent the allowable output voltage difference and the allowable output current difference, respectively, and μ1 and μ2 represent the weight coefficients corresponding to the output voltage and the output current, respectively; The confirmation of the noise parameter qualification of the target device specifically includes: Obtain the noise value corresponding to the target device at each acquisition time node, draw a noise value-time curve based on the noise value and the acquisition time node, and obtain the historical noise value-time curve of the target device in the working state, set the historical noise value-time curve of the target device in the working state as a reference curve graph, compare the noise value-time curve corresponding to the target device in the working state with the reference curve graph, and then screen out the noise difference corresponding to the target device at each acquisition time node; By calculating the formula The noise parameter qualification coefficient γ corresponding to the target device is obtained, where i represents the number corresponding to each acquisition time node, i=1, 2, 3...j, Ki and Ki′ represent the noise value and reference noise value corresponding to the target device at the i-th acquisition time node, ΔK represents the allowable noise difference, and φ represents the correction coefficient corresponding to the noise parameter qualification coefficient; The step of confirming the comprehensive analysis index corresponding to the target device and then performing early warning processing based on the comprehensive analysis index corresponding to the target device specifically includes: Substitute the mechanical parameter qualification coefficient corresponding to the target device, the electrical parameter qualification coefficient corresponding to the target device, and the noise parameter qualification coefficient corresponding to the target device into the formula ξ=α*b1+β*b2+γ*b3, and calculate the comprehensive analysis index ξ corresponding to the target device, where b1, b2, and b3 represent the weight coefficients corresponding to the mechanical parameter qualification coefficient, the electrical parameter qualification coefficient, and the noise parameter qualification coefficient, respectively; Compare the comprehensive analysis index ξ corresponding to the target device with the preset threshold; If the comprehensive analysis index ξ corresponding to the target device is between [ξ0,ξ1], no warning is required, where ξ0 and ξ1 represent the first preset coefficient and the second preset coefficient respectively; If the comprehensive analysis index ξ corresponding to the target device is between [ξ1,ξ2], the warning process is performed according to the first warning method, where ξ2 represents the third preset coefficient; When the comprehensive analysis index ξ corresponding to the target device exceeds ξ2, a warning process is performed according to the second warning method.

2. A ship engine room monitoring alarm system, characterized in that: Used to execute a ship engine room monitoring and alarm method as claimed in claim 1, comprising: The mechanical data acquisition module is used to deploy data acquisition devices at key locations of target equipment in the ship's engine room, thereby acquiring mechanical data corresponding to key locations of the target equipment at each monitoring time point; The mechanical parameter qualification analysis module is used to process and analyze the mechanical data collected by the target equipment at each monitoring time point, thereby analyzing and obtaining the qualification status of the mechanical parameters corresponding to the target equipment; The electrical data collection module is used to collect the electrical data corresponding to the target device in the working state by monitoring the working state of the target device; The electrical parameter qualification analysis module is used to process and analyze the electrical data of the target device in the working state, thereby analyzing and obtaining the electrical parameter qualification status corresponding to the target device; A noise parameter acquisition and analysis module is used to confirm the noise value-time curve corresponding to the target device in the working state, and process and analyze the noise value-time curve to confirm the qualification of the noise parameters corresponding to the target device; The early warning processing module is used to confirm the comprehensive analysis index corresponding to the target device according to the qualified conditions of the mechanical parameters, electrical parameters and noise parameters corresponding to the target device, and then perform early warning processing based on the comprehensive analysis index corresponding to the target device.

3. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute a ship engine room monitoring and alarm method as claimed in claim 1.

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