Ship cabin water inflow monitoring and alarming method and system

Abstract

The invention discloses a ship cabin water inflow monitoring and alarming method and system, and relates to the field of cabin water inflow monitoring and alarming. The ship cabin water inflow monitoring and alarming system comprises a data preprocessing module, a layout control module, a data acquisition module, a data analysis module and a fault alarming module; according to the method, the important parts of the cabin are identified, the important parts of the cabin are subjected to sensor emphasized layout and emphasized monitoring, the accuracy and effectiveness of data monitoring are improved, the water inflow degree of the cabin is obtained through scientific comparison and evaluation of monitoring data, the maintenance speed is improved, and the navigation safety of a ship is indirectly protected.

Description

Technical Field

[0001] The present application relates to the field of ship cabin water ingress monitoring and alarm, and in particular to a ship cabin water ingress monitoring and alarm method and system. Background Art

[0002] By installing monitoring equipment such as water level sensors, changes in water levels can be detected as soon as water starts to enter the cabin. For example, a differential pressure water level sensor can sense the water level difference inside and outside the cabin in real time. Once water enters the cabin, the sensor can quickly send a signal to let the crew know in time that the cabin is flooded, so that countermeasures can be taken at the early stage of flooding to avoid the problem from worsening. Early warnings can be issued at the embryonic stage of flooding, and the crew can quickly find the cause of the flooding, such as the location of hull damage, pipeline leakage points, etc., and repair or seal them. This can effectively prevent the flooding from further worsening and reduce the various hazards caused by large amounts of water inflow, such as ship sinking and cargo loss. However, the existing technology still has the following shortcomings; Most of the existing technologies can only provide basic water level information, and lack in-depth analysis of the causes and trends of water ingress. Since ships are affected by various interference factors when sailing at sea, such as wave impact and ship shaking, the monitoring system may misjudge it as water ingress, generate erroneous signals, and issue false water ingress alarms. This false alarm will not only waste the crew's time and energy to investigate, but may also cover up the actual water ingress situation, which is not conducive to the timely repair of the ship's water ingress. Summary of the invention

[0003] The object of the present invention is to provide a method and system for monitoring and alarming water ingress in ship cabins to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a ship cabin water ingress monitoring and alarm system, comprising: Data preprocessing module: used to obtain and preprocess the historical flooding conditions corresponding to the target ship to obtain the basic control data set of each cabin corresponding to the target ship; Deployment control module: It is used to control the deployment of sensors corresponding to each cabin of the target ship based on the basic control data set corresponding to each cabin of the target ship, and obtain the sensor deployment results corresponding to each cabin; Data acquisition module: used to collect sensor data from each cabin according to the sensor deployment results corresponding to each cabin, and obtain the sensor monitoring data set corresponding to each cabin; Data analysis module: used to analyze the sensor monitoring data set corresponding to each cabin to obtain the water inflow analysis results corresponding to each cabin; Fault alarm module: used to perform data analysis based on the water ingress analysis results corresponding to each cabin, and obtain the water ingress monitoring alarm results corresponding to the target ship.

[0005] In a preferred embodiment of this scheme, the specific implementation method of the data acquisition module is as follows: Establish a data extraction relationship between the data acquisition module and the database, and extract the historical water inflow data corresponding to each cabin of the target ship stored in the database, wherein the historical water inflow data corresponding to each cabin includes each water inflow event corresponding to each cabin, the water inflow position coordinates corresponding to each water inflow event, the water inflow data set and the monitoring data set; The water inflow position coordinates corresponding to each water inflow event in each cabin are counted to obtain the number of water inflow events and each water inflow event corresponding to each water inflow position coordinate in each cabin; The water inflow data set corresponding to each water inflow event includes an average water inflow rate, a peak water inflow rate and a water inflow volume corresponding to each water inflow event; Obtain a data analysis model corresponding to a preset water inflow severity, wherein the data analysis model corresponds to filled data including an average water inflow rate, a peak water inflow rate, and a water inflow volume, perform data analysis using the average water inflow rate, the peak water inflow rate, and the water inflow volume corresponding to each water inflow event and the data analysis model corresponding to the water inflow severity, obtain the water inflow severity corresponding to each water inflow event, match the water inflow severity corresponding to each water inflow event with the water inflow data set corresponding to each water inflow event, and obtain each water inflow data set corresponding to each water inflow severity; Obtaining a data analysis model corresponding to each preset flooding probability coefficient, wherein the data analysis model corresponds to the filled-in data including the number of flooding events and the flooding severity corresponding to each flooding event, performing data analysis according to the number of flooding events corresponding to each flooding position coordinate of each cabin and the flooding severity corresponding to each flooding event, obtaining the flooding probability coefficient of each cabin corresponding to each flooding position coordinate, and recording the flooding probability coefficient of each cabin corresponding to each flooding position coordinate as the basic control data set corresponding to each cabin of the target ship; Data matching is performed on each water inflow data set corresponding to each water inflow severity level and the water inflow data set corresponding to each water inflow event and the monitoring data set to obtain each water inflow severity level corresponding to each monitoring data set.

[0006] In a preferred embodiment of this scheme, the specific implementation method of arranging the control module is as follows: The specific implementation method of deploying the control module is as follows: The monitoring data set corresponding to each water inflow event includes conductivity monitoring data, ultrasonic liquid level measurement data and acoustic emission detection monitoring data corresponding to each water inflow event, wherein the conductivity monitoring data includes a resistance value change curve and a conductivity change curve, the ultrasonic liquid level measurement data refers to the water level change curve, and the acoustic emission detection monitoring data refers to the sound wave frequency change curve. Data extraction is performed on the monitoring data set corresponding to each water inflow event to obtain the average resistance value change rate, the average conductivity change rate, the average water level change rate and the average sound wave frequency change rate corresponding to each water inflow event. The average resistance value change rate, the average conductivity change rate and the average water level change rate corresponding to each water inflow event are converted into the average resistance value change rate, the average conductivity change rate and the average water level change rate. The average rate of change of the water level and the average rate of change of the sound wave frequency are calculated by ratio with the corresponding preset average rate of change threshold of the resistance value, the average rate of change threshold of the conductivity, the average rate of change threshold of the water level and the average rate of change threshold of the sound wave frequency, so as to obtain the ratios of the average rate of change of the resistance value, the average rate of change of the conductivity, the average rate of change of the water level and the average rate of change of the sound wave frequency corresponding to each water inflow event and the corresponding preset average rate of change threshold of the resistance value, the average rate of change threshold of the conductivity, the average rate of change threshold of the water level and the average rate of change threshold of the sound wave frequency, which are recorded as the abnormal degree of the resistance value, the abnormal degree of the conductivity, the abnormal degree of the water level and the abnormal degree of the sound wave frequency corresponding to each water inflow event; Establish a data extraction relationship between the layout control module and the database, and extract the weight coefficients of the comprehensive abnormality corresponding to the abnormality of the resistance value, the abnormality of the conductivity, the abnormality of the water level and the abnormality of the sound wave frequency stored in the database; According to the weight coefficients of the resistance value abnormality, conductivity abnormality, water level abnormality and sound wave frequency abnormality corresponding to each water inflow event, data analysis is performed to obtain the comprehensive abnormality corresponding to each water inflow event, and the comprehensive abnormality corresponding to each water inflow position coordinate is statistically obtained, and the maximum comprehensive abnormality is selected and recorded as the target comprehensive abnormality corresponding to each water inflow position coordinate; Establish a data extraction relationship between the layout control module and the database, extract the sensor layout set corresponding to each water inflow probability coefficient and the comprehensive abnormality degree stored in the database, wherein the sensor layout set includes the sensor layout distribution mode, the layout ratio of various sensors, the sensor layout density, and the sensor layout radius, wherein the sensor types include conductivity detection sensors, ultrasonic liquid level measurement sensors, and acoustic emission detection sensors; Data matching is performed through the water inflow probability coefficient of each cabin corresponding to each water inflow position coordinate and the target comprehensive abnormality degree to obtain the sensor layout set of each cabin corresponding to each water inflow position coordinate. Various types of sensor layouts are controlled through the sensor layout set of each cabin corresponding to each water inflow position coordinate to obtain the layout results of each cabin corresponding to each water inflow position coordinate. Information is extracted from the layout results of each cabin corresponding to each water inflow position coordinate to obtain the sensor layout type of each sensor layout position corresponding to each water inflow position coordinate and the straight-line distance to the corresponding water inflow position coordinate.

[0007] In the preferred embodiment of this scheme, the specific implementation mode of the data acquisition module is as follows: Establish a data extraction relationship between the data acquisition module and the database, extract the sensor data acquisition frequency of various sensors corresponding to each water inflow probability coefficient and the comprehensive abnormality degree stored in the data, screen through the water inflow probability coefficient of each water inflow position coordinate, the comprehensive abnormality degree and the sensor type of each sensor layout position, obtain the sensor data acquisition frequency of each sensor layout position corresponding to each water inflow position coordinate, perform data acquisition and processing through the sensor data acquisition frequency of each sensor layout position corresponding to each water inflow position coordinate, obtain the sensor data acquisition times and each sensor data of each sensor layout position corresponding to each water inflow position coordinate within a unit time period, record the sensor data acquisition times and each sensor data of each sensor layout position corresponding to each water inflow position coordinate as the sensor monitoring data set corresponding to each cabin; The sensor data corresponding to the conductivity detection sensor includes resistance value and conductivity value, the sensor data corresponding to the ultrasonic liquid level measurement sensor includes water level value, and the sensor data corresponding to the acoustic emission detection sensor includes sound wave frequency value.

[0008] In the preferred embodiment of this scheme, the specific implementation method of the data analysis module is as follows: Performing data statistics on each sensor data corresponding to each sensor layout position corresponding to each water inlet position coordinate, obtaining a sensor data change curve corresponding to each sensor layout position corresponding to each water inlet position coordinate, performing data analysis and extraction on the sensor data, obtaining a real-time slope of the sensor data change curve, recording the real-time slope of the sensor data change curve as the sensor data distortion rate, and obtaining the sensor data distortion rate corresponding to each sensor layout position corresponding to each water inlet position coordinate by statistics; Establish a data extraction relationship between the data analysis module and the database, extract the sensor data distortion rate thresholds corresponding to various types of sensors, screen according to the sensor type and sensor data distortion rate corresponding to each sensor layout position, obtain the sensor data distortion rate threshold corresponding to each sensor layout position, compare the sensor data distortion rate corresponding to each sensor layout position corresponding to each water inlet position coordinate with the sensor data distortion rate threshold corresponding to each sensor layout position, screen each sensor layout position greater than the sensor data distortion rate threshold, record the sensor data corresponding to each sensor layout position greater than the sensor data distortion rate threshold as abnormal sensor data, record each sensor layout position greater than the sensor data distortion rate threshold as each abnormal sensor layout position, statistically obtain each abnormal sensor layout position corresponding to each water inlet position coordinate, and calculate the sensor data abnormality rate corresponding to each water inlet position coordinate; Extract the fault water inflow weight coefficient corresponding to each straight-line distance stored in the database, and filter according to the straight-line distance between each abnormal sensor layout position and the corresponding water inflow position coordinate, to obtain the fault water inflow weight coefficient corresponding to each abnormal sensor layout position; A preset fault water inflow evaluation coefficient model is obtained, wherein the fault water inflow evaluation coefficient model includes the sensor data abnormality rate, the fault water inflow weight coefficient and the sensor data abnormality rate; the data model is analyzed through the sensor data abnormality rate corresponding to each water inflow position coordinate, the fault water inflow weight coefficient corresponding to each abnormal sensor layout position and the sensor data distortion rate to obtain the fault water inflow evaluation coefficient corresponding to each water inflow position coordinate; the fault water inflow evaluation coefficient corresponding to each water inflow position coordinate of each cabin is recorded as the water inflow analysis result corresponding to each cabin.

[0009] In the preferred embodiment of this scheme, the specific implementation method of the fault alarm module is as follows: The fault water inflow evaluation coefficient corresponding to each water inflow position coordinate is compared with the preset fault water inflow evaluation coefficient threshold value. If the fault water inflow evaluation coefficient is less than or equal to the preset fault water inflow evaluation coefficient threshold value, it indicates that no water inflow event has occurred at the water inflow position coordinate. If the fault water inflow evaluation coefficient is greater than the preset fault water inflow evaluation coefficient threshold value, it indicates that a water inflow event has occurred at the water inflow position coordinate. The water inflow position coordinate where the water inflow event has occurred is marked as the warning position coordinate, and the warning position coordinates corresponding to each cabin are obtained by statistics. The sensor data change curves corresponding to the sensor deployment positions corresponding to the coordinates of each warning position are statistically analyzed to obtain the resistance value change curves, conductivity change curves, water level change curves and sound wave frequency average curves corresponding to the coordinates of each warning position. The weighted average change rate of resistance value, the weighted average change rate of conductivity, the weighted average change rate of water level and the weighted average change rate of sound wave frequency corresponding to each warning position are obtained. The weighted average change rate of resistance value, the weighted average change rate of conductivity, the weighted average change rate of water level and the weighted average change rate of sound wave frequency corresponding to each warning position are matched with each water ingress severity corresponding to each monitoring data set to obtain the water ingress severity corresponding to each warning position coordinate. The water ingress severity corresponding to each cabin corresponding to each warning position coordinate is statistically obtained, and the highest value of the water ingress severity corresponding to each cabin is recorded as the water ingress monitoring alarm result corresponding to the target ship.

[0010] To achieve the above object, the present invention also provides the following technical solution: a method for monitoring and alarming water ingress in a ship cabin, comprising the following steps: The historical flooding conditions corresponding to the target ship are acquired and preprocessed to obtain the basic control data set of each cabin corresponding to the target ship; The basic control data set corresponding to each cabin of the target ship controls the deployment of sensors corresponding to each cabin of the target ship, and obtains the sensor deployment results corresponding to each cabin; According to the sensor deployment results corresponding to each cabin, sensor data of each cabin is collected to obtain the sensor monitoring data set corresponding to each cabin; Analyze the sensor monitoring data sets corresponding to each cabin to obtain the water ingress analysis results corresponding to each cabin; Data analysis is performed based on the water ingress analysis results corresponding to each cabin to obtain the water ingress monitoring alarm results corresponding to the target ship.

[0011] Compared with the prior art, the present invention has the following beneficial effects: The present invention collects cabin water ingress monitoring data over a long period of time, analyzes the data, identifies key parts of the cabin, and focuses on deploying sensors and monitoring key parts of the cabin, thereby improving the accuracy and effectiveness of data monitoring. By scientifically comparing and evaluating the monitoring data, the degree of cabin water ingress is obtained, which is beneficial to improving the maintenance rate and indirectly protecting the navigation safety of the ship. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0013] Figure 1 This is a schematic diagram of module connection according to an embodiment of the present invention.

[0014] Figure 2 It is a schematic diagram of the connection steps of an embodiment of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] See also Figure 1 , the present invention provides a ship cabin water ingress monitoring and alarm system, the system includes a data preprocessing module, a layout control module, a data acquisition module, a data analysis module and a fault alarm module; The data preprocessing module is connected to the layout control module, the layout control module is connected to the data acquisition module, the data acquisition module is connected to the data analysis module, and the data analysis module is connected to the fault alarm module; The data preprocessing module is used to obtain and preprocess the historical flooding conditions corresponding to the target ship to obtain the basic control data set of each cabin corresponding to the target ship; Furthermore, the specific execution mode of the data acquisition module is as follows: Establish a data extraction relationship between the data acquisition module and the database, and extract the historical water inflow data corresponding to each cabin of the target ship stored in the database, wherein the historical water inflow data corresponding to each cabin includes each water inflow event corresponding to each cabin, the water inflow position coordinates corresponding to each water inflow event, the water inflow data set and the monitoring data set; The water inflow position coordinates corresponding to each water inflow event in each cabin are counted to obtain the number of water inflow events and each water inflow event corresponding to each water inflow position coordinate in each cabin; The water inflow data set corresponding to each water inflow event includes an average water inflow rate, a peak water inflow rate and a water inflow volume corresponding to each water inflow event; Obtain a data analysis model corresponding to a preset water inflow severity, wherein the data analysis model corresponds to filled data including an average water inflow rate, a peak water inflow rate, and a water inflow volume, perform data analysis using the average water inflow rate, the peak water inflow rate, and the water inflow volume corresponding to each water inflow event and the data analysis model corresponding to the water inflow severity, obtain the water inflow severity corresponding to each water inflow event, match the water inflow severity corresponding to each water inflow event with the water inflow data set corresponding to each water inflow event, and obtain each water inflow data set corresponding to each water inflow severity; Obtaining a data analysis model corresponding to each preset flooding probability coefficient, wherein the data analysis model corresponds to the filled-in data including the number of flooding events and the flooding severity corresponding to each flooding event, performing data analysis according to the number of flooding events corresponding to each flooding position coordinate of each cabin and the flooding severity corresponding to each flooding event, obtaining the flooding probability coefficient of each cabin corresponding to each flooding position coordinate, and recording the flooding probability coefficient of each cabin corresponding to each flooding position coordinate as the basic control data set corresponding to each cabin of the target ship; Data matching is performed on each water inflow data set corresponding to each water inflow severity level and the water inflow data set corresponding to each water inflow event and the monitoring data set to obtain each water inflow severity level corresponding to each monitoring data set.

[0017] The deployment control module is used to deploy sensors corresponding to each cabin of the target ship according to the basic control data set of each cabin of the target ship, and obtain the sensor deployment results corresponding to each cabin; Furthermore, the specific implementation method of deploying the control module is as follows: The monitoring data set corresponding to each water inflow event includes conductivity monitoring data, ultrasonic liquid level measurement data and acoustic emission detection monitoring data corresponding to each water inflow event, wherein the conductivity monitoring data includes a resistance value change curve and a conductivity change curve, the ultrasonic liquid level measurement data refers to the water level change curve, and the acoustic emission detection monitoring data refers to the sound wave frequency change curve. Data extraction is performed on the monitoring data set corresponding to each water inflow event to obtain the average resistance value change rate, the average conductivity change rate, the average water level change rate and the average sound wave frequency change rate corresponding to each water inflow event. The average resistance value change rate, the average conductivity change rate and the average water level change rate corresponding to each water inflow event are converted into the average resistance value change rate, the average conductivity change rate and the average water level change rate. The average rate of change of the water level and the average rate of change of the sound wave frequency are calculated by ratio with the corresponding preset average rate of change threshold of the resistance value, the average rate of change threshold of the conductivity, the average rate of change threshold of the water level and the average rate of change threshold of the sound wave frequency, so as to obtain the ratios of the average rate of change of the resistance value, the average rate of change of the conductivity, the average rate of change of the water level and the average rate of change of the sound wave frequency corresponding to each water inflow event and the corresponding preset average rate of change threshold of the resistance value, the average rate of change threshold of the conductivity, the average rate of change threshold of the water level and the average rate of change threshold of the sound wave frequency, which are recorded as the abnormal degree of the resistance value, the abnormal degree of the conductivity, the abnormal degree of the water level and the abnormal degree of the sound wave frequency corresponding to each water inflow event; Establish a data extraction relationship between the layout control module and the database, and extract the weight coefficients of the comprehensive abnormality corresponding to the abnormality of the resistance value, the abnormality of the conductivity, the abnormality of the water level and the abnormality of the sound wave frequency stored in the database; According to the weight coefficients of the resistance value abnormality, conductivity abnormality, water level abnormality and sound wave frequency abnormality corresponding to each water inflow event, data analysis is performed to obtain the comprehensive abnormality corresponding to each water inflow event, and the comprehensive abnormality corresponding to each water inflow position coordinate is statistically obtained, and the maximum comprehensive abnormality is selected and recorded as the target comprehensive abnormality corresponding to each water inflow position coordinate; Establish a data extraction relationship between the layout control module and the database, extract the sensor layout set corresponding to each water inflow probability coefficient and the comprehensive abnormality degree stored in the database, wherein the sensor layout set includes the sensor layout distribution mode, the layout ratio of various sensors, the sensor layout density, and the sensor layout radius, wherein the sensor types include conductivity detection sensors, ultrasonic liquid level measurement sensors, and acoustic emission detection sensors; Data matching is performed through the water inflow probability coefficient of each cabin corresponding to each water inflow position coordinate and the target comprehensive abnormality degree to obtain the sensor layout set of each cabin corresponding to each water inflow position coordinate. Various types of sensor layouts are controlled through the sensor layout set of each cabin corresponding to each water inflow position coordinate to obtain the layout results of each cabin corresponding to each water inflow position coordinate. Information is extracted from the layout results of each cabin corresponding to each water inflow position coordinate to obtain the sensor layout type of each sensor layout position corresponding to each water inflow position coordinate and the straight-line distance to the corresponding water inflow position coordinate.

[0018] It should be noted that: with capacitive sensing technology, as long as the sensing amount is reasonably designed, it can work normally even if some dirt is accumulated, as long as it is not a metal object, so it has the advantages of high performance stability, strong resistance to external interference and corrosion, low cost and high cost performance. The controller adopts the current input acquisition mode, which can effectively resist various interferences, and can also perform self-fault self-detection, disconnection and short circuit detection. If explosion-proof is required, it can be equipped with explosion-proof devices, so it is very suitable for cabin water ingress alarm in various ships.

[0019] It should be noted that: the degree of resistance value abnormality = average change rate of resistance value / average change rate threshold of resistance value, the degree of conductivity abnormality = average change rate of conductivity / average change rate threshold of conductivity, the degree of water level abnormality = average change rate of water level / average change rate threshold of water level, the degree of sound wave frequency abnormality = average change rate of sound wave frequency / average change rate threshold of sound wave frequency.

[0020] Comprehensive abnormality degree = resistance value abnormality degree × resistance value weight coefficient + conductivity abnormality degree × conductivity weight coefficient + water level abnormality degree × water level weight coefficient + sound wave frequency abnormality degree × sound wave frequency weight coefficient.

[0021] The data acquisition module is used to collect sensor data from each cabin according to the sensor deployment results corresponding to each cabin, and obtain the sensor monitoring data set corresponding to each cabin; Establish a data extraction relationship between the data acquisition module and the database, extract the sensor data acquisition frequency of various sensors corresponding to each water inflow probability coefficient and the comprehensive abnormality degree stored in the data, screen through the water inflow probability coefficient of each water inflow position coordinate, the comprehensive abnormality degree and the sensor type of each sensor layout position, obtain the sensor data acquisition frequency of each sensor layout position corresponding to each water inflow position coordinate, perform data acquisition and processing through the sensor data acquisition frequency of each sensor layout position corresponding to each water inflow position coordinate, obtain the sensor data acquisition times and each sensor data of each sensor layout position corresponding to each water inflow position coordinate within a unit time period, record the sensor data acquisition times and each sensor data of each sensor layout position corresponding to each water inflow position coordinate as the sensor monitoring data set corresponding to each cabin; The sensor data corresponding to the conductivity detection sensor includes resistance value and conductivity value, the sensor data corresponding to the ultrasonic liquid level measurement sensor includes water level value, and the sensor data corresponding to the acoustic emission detection sensor includes sound wave frequency value.

[0022] The data analysis module is used to analyze the sensor monitoring data set corresponding to each cabin to obtain the water inflow analysis result corresponding to each cabin; Furthermore, the specific execution mode of the data analysis module is as follows: Performing data statistics on each sensor data corresponding to each sensor layout position corresponding to each water inlet position coordinate, obtaining a sensor data change curve corresponding to each sensor layout position corresponding to each water inlet position coordinate, performing data analysis and extraction on the sensor data, obtaining a real-time slope of the sensor data change curve, recording the real-time slope of the sensor data change curve as the sensor data distortion rate, and obtaining the sensor data distortion rate corresponding to each sensor layout position corresponding to each water inlet position coordinate by statistics; Establish a data extraction relationship between the data analysis module and the database, extract the sensor data distortion rate thresholds corresponding to various types of sensors, screen according to the sensor type and sensor data distortion rate corresponding to each sensor layout position, obtain the sensor data distortion rate threshold corresponding to each sensor layout position, compare the sensor data distortion rate corresponding to each sensor layout position corresponding to each water inlet position coordinate with the sensor data distortion rate threshold corresponding to each sensor layout position, screen each sensor layout position greater than the sensor data distortion rate threshold, record the sensor data corresponding to each sensor layout position greater than the sensor data distortion rate threshold as abnormal sensor data, record each sensor layout position greater than the sensor data distortion rate threshold as each abnormal sensor layout position, statistically obtain each abnormal sensor layout position corresponding to each water inlet position coordinate, and calculate the sensor data abnormality rate corresponding to each water inlet position coordinate; Extract the fault water inflow weight coefficient corresponding to each straight-line distance stored in the database, and filter according to the straight-line distance between each abnormal sensor layout position and the corresponding water inflow position coordinate, to obtain the fault water inflow weight coefficient corresponding to each abnormal sensor layout position; A preset fault water inflow evaluation coefficient model is obtained, wherein the fault water inflow evaluation coefficient model includes the sensor data abnormality rate, the fault water inflow weight coefficient and the sensor data abnormality rate; the data model is analyzed through the sensor data abnormality rate corresponding to each water inflow position coordinate, the fault water inflow weight coefficient corresponding to each abnormal sensor layout position and the sensor data distortion rate to obtain the fault water inflow evaluation coefficient corresponding to each water inflow position coordinate; the fault water inflow evaluation coefficient corresponding to each water inflow position coordinate of each cabin is recorded as the water inflow analysis result corresponding to each cabin.

[0023] The fault alarm module is used to perform data analysis based on the water ingress analysis results corresponding to each cabin to obtain the water ingress monitoring alarm results corresponding to the target ship.

[0024] Furthermore, the specific implementation of the fault alarm module is as follows: The fault water inflow evaluation coefficient corresponding to each water inflow position coordinate is compared with the preset fault water inflow evaluation coefficient threshold value. If the fault water inflow evaluation coefficient is less than or equal to the preset fault water inflow evaluation coefficient threshold value, it indicates that no water inflow event has occurred at the water inflow position coordinate. If the fault water inflow evaluation coefficient is greater than the preset fault water inflow evaluation coefficient threshold value, it indicates that a water inflow event has occurred at the water inflow position coordinate. The water inflow position coordinate where the water inflow event has occurred is marked as the warning position coordinate, and the warning position coordinates corresponding to each cabin are obtained by statistics. The sensor data change curves corresponding to the sensor deployment positions corresponding to the coordinates of each warning position are statistically analyzed to obtain the resistance value change curves, conductivity change curves, water level change curves and sound wave frequency average curves corresponding to the coordinates of each warning position. The weighted average change rate of resistance value, the weighted average change rate of conductivity, the weighted average change rate of water level and the weighted average change rate of sound wave frequency corresponding to each warning position are obtained. The weighted average change rate of resistance value, the weighted average change rate of conductivity, the weighted average change rate of water level and the weighted average change rate of sound wave frequency corresponding to each warning position are matched with each water ingress severity corresponding to each monitoring data set to obtain the water ingress severity corresponding to each warning position coordinate. The water ingress severity corresponding to each cabin corresponding to each warning position coordinate is statistically obtained, and the highest value of the water ingress severity corresponding to each cabin is recorded as the water ingress monitoring alarm result corresponding to the target ship.

[0025] To achieve the above object, the present invention also provides the following technical solution: a method for monitoring and alarming water ingress in a ship cabin, comprising the following steps: The historical flooding conditions corresponding to the target ship are acquired and preprocessed to obtain the basic control data set of each cabin corresponding to the target ship; The basic control data set corresponding to each cabin of the target ship controls the deployment of sensors corresponding to each cabin of the target ship, and obtains the sensor deployment results corresponding to each cabin; According to the sensor deployment results corresponding to each cabin, sensor data of each cabin is collected to obtain the sensor monitoring data set corresponding to each cabin; Analyze the sensor monitoring data sets corresponding to each cabin to obtain the water ingress analysis results corresponding to each cabin; Data analysis is performed based on the water ingress analysis results corresponding to each cabin to obtain the water ingress monitoring alarm results corresponding to the target ship.

[0026] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A ship cabin water ingress monitoring and alarm system, characterized in that: include: Data preprocessing module: used to obtain and preprocess the historical flooding conditions corresponding to the target ship to obtain the basic control data set of each cabin corresponding to the target ship; Deployment control module: used to control the deployment of sensors in each cabin of the target ship based on the basic control data set of each cabin of the target ship, and obtain the sensor deployment results corresponding to each cabin; Data acquisition module: used to collect sensor data from each cabin according to the sensor deployment results corresponding to each cabin, and obtain the sensor monitoring data set corresponding to each cabin; Data analysis module: used to analyze the sensor monitoring data set corresponding to each cabin to obtain the water inflow analysis results corresponding to each cabin; Fault alarm module: used to perform data analysis based on the water ingress analysis results corresponding to each cabin, and obtain the water ingress monitoring alarm results corresponding to the target ship.

2. A ship cabin water ingress monitoring and alarm system according to claim 1, characterized in that: The specific implementation method of the data acquisition module is as follows: Establish a data extraction relationship between the data acquisition module and the database, and extract the historical water inflow data corresponding to each cabin of the target ship stored in the database, wherein the historical water inflow data corresponding to each cabin includes each water inflow event corresponding to each cabin, the water inflow position coordinates corresponding to each water inflow event, the water inflow data set and the monitoring data set; The water inflow position coordinates corresponding to each water inflow event in each cabin are counted to obtain the number of water inflow events and each water inflow event corresponding to each water inflow position coordinate in each cabin; The water inflow data set corresponding to each water inflow event includes an average water inflow rate, a peak water inflow rate and a water inflow volume corresponding to each water inflow event; Obtain a data analysis model corresponding to a preset water inflow severity, wherein the data analysis model corresponds to filled data including an average water inflow rate, a peak water inflow rate, and a water inflow volume, perform data analysis using the average water inflow rate, the peak water inflow rate, and the water inflow volume corresponding to each water inflow event and the data analysis model corresponding to the water inflow severity, obtain the water inflow severity corresponding to each water inflow event, match the water inflow severity corresponding to each water inflow event with the water inflow data set corresponding to each water inflow event, and obtain each water inflow data set corresponding to each water inflow severity; Obtaining a data analysis model corresponding to each preset flooding probability coefficient, wherein the data analysis model corresponds to the filled-in data including the number of flooding events and the flooding severity corresponding to each flooding event, performing data analysis according to the number of flooding events corresponding to each flooding position coordinate of each cabin and the flooding severity corresponding to each flooding event, obtaining the flooding probability coefficient of each cabin corresponding to each flooding position coordinate, and recording the flooding probability coefficient of each cabin corresponding to each flooding position coordinate as the basic control data set corresponding to each cabin of the target ship; Data matching is performed on each water inflow data set corresponding to each water inflow severity level and the water inflow data set corresponding to each water inflow event and the monitoring data set to obtain each water inflow severity level corresponding to each monitoring data set.

3. A ship cabin water ingress monitoring and alarm system according to claim 2, characterized in that: The specific implementation method of the deployment control module is as follows: The monitoring data set corresponding to each water inflow event includes conductivity monitoring data, ultrasonic liquid level measurement data and acoustic emission detection monitoring data corresponding to each water inflow event, wherein the conductivity monitoring data includes a resistance value change curve and a conductivity change curve, the ultrasonic liquid level measurement data refers to the water level change curve, and the acoustic emission detection monitoring data refers to the sound wave frequency change curve. Data extraction is performed on the monitoring data set corresponding to each water inflow event to obtain the average resistance value change rate, the average conductivity change rate, the average water level change rate and the average sound wave frequency change rate corresponding to each water inflow event. The average resistance value change rate, the average conductivity change rate and the average water level change rate corresponding to each water inflow event are converted into the average resistance value change rate, the average conductivity change rate and the average water level change rate. The average rate of change of the water level and the average rate of change of the sound wave frequency are calculated by ratio with the corresponding preset average rate of change threshold of the resistance value, the average rate of change threshold of the conductivity, the average rate of change threshold of the water level and the average rate of change threshold of the sound wave frequency, so as to obtain the ratios of the average rate of change of the resistance value, the average rate of change of the conductivity, the average rate of change of the water level and the average rate of change of the sound wave frequency corresponding to each water inflow event and the corresponding preset average rate of change threshold of the resistance value, the average rate of change threshold of the conductivity, the average rate of change threshold of the water level and the average rate of change threshold of the sound wave frequency, which are recorded as the abnormal degree of the resistance value, the abnormal degree of the conductivity, the abnormal degree of the water level and the abnormal degree of the sound wave frequency corresponding to each water inflow event; Establish a data extraction relationship between the layout control module and the database, and extract the weight coefficients of the comprehensive abnormality corresponding to the abnormality of the resistance value, the abnormality of the conductivity, the abnormality of the water level and the abnormality of the sound wave frequency stored in the database; According to the weight coefficients of the resistance value abnormality, conductivity abnormality, water level abnormality and sound wave frequency abnormality corresponding to each water inflow event, data analysis is performed to obtain the comprehensive abnormality corresponding to each water inflow event, and the comprehensive abnormality corresponding to each water inflow position coordinate is statistically obtained, and the maximum comprehensive abnormality is selected and recorded as the target comprehensive abnormality corresponding to each water inflow position coordinate; Establish a data extraction relationship between the layout control module and the database, extract the sensor layout set corresponding to each water inflow probability coefficient and the comprehensive abnormality degree stored in the database, wherein the sensor layout set includes the sensor layout distribution mode, the layout ratio of various sensors, the sensor layout density, and the sensor layout radius, wherein the sensor types include conductivity detection sensors, ultrasonic liquid level measurement sensors, and acoustic emission detection sensors; Data matching is performed through the water inflow probability coefficient of each cabin corresponding to each water inflow position coordinate and the target comprehensive abnormality degree to obtain the sensor layout set of each cabin corresponding to each water inflow position coordinate. Various types of sensor layouts are controlled through the sensor layout set of each cabin corresponding to each water inflow position coordinate to obtain the layout results of each cabin corresponding to each water inflow position coordinate. Information is extracted from the layout results of each cabin corresponding to each water inflow position coordinate to obtain the sensor layout type of each sensor layout position corresponding to each water inflow position coordinate and the straight-line distance to the corresponding water inflow position coordinate.

4. A ship cabin water ingress monitoring and alarm system according to claim 3, characterized in that: The specific implementation method of the data acquisition module is as follows: Establish a data extraction relationship between the data acquisition module and the database, extract the sensor data acquisition frequency of various sensors corresponding to each water inflow probability coefficient and the comprehensive abnormality degree stored in the data, screen through the water inflow probability coefficient of each water inflow position coordinate, the comprehensive abnormality degree and the sensor type of each sensor layout position, obtain the sensor data acquisition frequency of each sensor layout position corresponding to each water inflow position coordinate, perform data acquisition and processing through the sensor data acquisition frequency of each sensor layout position corresponding to each water inflow position coordinate, obtain the sensor data acquisition times and each sensor data of each sensor layout position corresponding to each water inflow position coordinate within a unit time period, record the sensor data acquisition times and each sensor data of each sensor layout position corresponding to each water inflow position coordinate as the sensor monitoring data set corresponding to each cabin; The sensor data corresponding to the conductivity detection sensor includes resistance value and conductivity value, the sensor data corresponding to the ultrasonic liquid level measurement sensor includes water level value, and the sensor data corresponding to the acoustic emission detection sensor includes sound wave frequency value.

5. A ship cabin water ingress monitoring and alarm system according to claim 4, characterized in that: The specific implementation method of the data analysis module is as follows: Performing data statistics on each sensor data corresponding to each sensor layout position corresponding to each water inlet position coordinate, obtaining a sensor data change curve corresponding to each sensor layout position corresponding to each water inlet position coordinate, performing data analysis and extraction on the sensor data, obtaining a real-time slope of the sensor data change curve, recording the real-time slope of the sensor data change curve as the sensor data distortion rate, and obtaining the sensor data distortion rate corresponding to each sensor layout position corresponding to each water inlet position coordinate by statistics; Establish a data extraction relationship between the data analysis module and the database, extract the sensor data distortion rate thresholds corresponding to various types of sensors, screen according to the sensor type and sensor data distortion rate corresponding to each sensor layout position, obtain the sensor data distortion rate threshold corresponding to each sensor layout position, compare the sensor data distortion rate corresponding to each sensor layout position corresponding to each water inlet position coordinate with the sensor data distortion rate threshold corresponding to each sensor layout position, screen each sensor layout position greater than the sensor data distortion rate threshold, record the sensor data corresponding to each sensor layout position greater than the sensor data distortion rate threshold as abnormal sensor data, record each sensor layout position greater than the sensor data distortion rate threshold as each abnormal sensor layout position, statistically obtain each abnormal sensor layout position corresponding to each water inlet position coordinate, and calculate the sensor data abnormality rate corresponding to each water inlet position coordinate; Extract the fault water inflow weight coefficient corresponding to each straight-line distance stored in the database, and filter according to the straight-line distance between each abnormal sensor layout position and the corresponding water inflow position coordinate, to obtain the fault water inflow weight coefficient corresponding to each abnormal sensor layout position; A preset fault water inflow evaluation coefficient model is obtained, wherein the fault water inflow evaluation coefficient model includes the sensor data abnormality rate, the fault water inflow weight coefficient and the sensor data abnormality rate; the data model is analyzed through the sensor data abnormality rate corresponding to each water inflow position coordinate, the fault water inflow weight coefficient corresponding to each abnormal sensor layout position and the sensor data distortion rate to obtain the fault water inflow evaluation coefficient corresponding to each water inflow position coordinate; the fault water inflow evaluation coefficient corresponding to each water inflow position coordinate of each cabin is recorded as the water inflow analysis result corresponding to each cabin.

6. A ship cabin water ingress monitoring and alarm system according to claim 5, characterized in that: The specific implementation method of the fault alarm module is as follows: The fault water inflow evaluation coefficient corresponding to each water inflow position coordinate is compared with the preset fault water inflow evaluation coefficient threshold value. If the fault water inflow evaluation coefficient is less than or equal to the preset fault water inflow evaluation coefficient threshold value, it indicates that no water inflow event has occurred at the water inflow position coordinate. If the fault water inflow evaluation coefficient is greater than the preset fault water inflow evaluation coefficient threshold value, it indicates that a water inflow event has occurred at the water inflow position coordinate. The water inflow position coordinate where the water inflow event has occurred is marked as the warning position coordinate, and the warning position coordinates corresponding to each cabin are obtained by statistics. The sensor data change curves corresponding to the sensor deployment positions corresponding to the coordinates of each warning position are statistically analyzed to obtain the resistance value change curves, conductivity change curves, water level change curves and sound wave frequency average curves corresponding to the coordinates of each warning position. The weighted average change rate of resistance value, the weighted average change rate of conductivity, the weighted average change rate of water level and the weighted average change rate of sound wave frequency corresponding to each warning position are obtained. The weighted average change rate of resistance value, the weighted average change rate of conductivity, the weighted average change rate of water level and the weighted average change rate of sound wave frequency corresponding to each warning position are matched with each water ingress severity corresponding to each monitoring data set to obtain the water ingress severity corresponding to each warning position coordinate. The water ingress severity corresponding to each cabin corresponding to each warning position coordinate is statistically obtained, and the highest value of the water ingress severity corresponding to each cabin is recorded as the water ingress monitoring alarm result corresponding to the target ship.

7. A method for monitoring and alarming water ingress in a ship cabin, applied to a system for monitoring and alarming water ingress in a ship cabin as claimed in any one of claims 1 to 6, characterized in that: include: The historical flooding conditions corresponding to the target ship are acquired and preprocessed to obtain the basic control data set of each cabin corresponding to the target ship; The basic control data set corresponding to each cabin of the target ship controls the deployment of sensors corresponding to each cabin of the target ship, and obtains the sensor deployment results corresponding to each cabin; According to the sensor deployment results corresponding to each cabin, sensor data of each cabin is collected to obtain the sensor monitoring data set corresponding to each cabin; Analyze the sensor monitoring data sets corresponding to each cabin to obtain the water ingress analysis results corresponding to each cabin; Data analysis is performed based on the water ingress analysis results corresponding to each cabin to obtain the water ingress monitoring alarm results corresponding to the target ship.

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