A stable system for an industrial control host of a ship system integration

Abstract

The present invention discloses a stabilization system for an integrated industrial control host of a ship system, belonging to the field of ship automation technology. The stabilization system can ensure the stable real-time transmission of abnormal data, high-risk data and important parameters, which is beneficial for shore-based staff to understand the ship's operating status in a timely manner, avoid data transmission delays that cause the shore-based base to be unable to establish a stable and effective communication connection with the staff corresponding to the ship management module in a timely manner, thereby facilitating the stable and healthy operation of the ship's industrial control host; and can discover abnormal values during ship operation, even when the corresponding ship operating data does not exceed a preset threshold range, it can also discover abnormal fluctuations within the range, and can provide timely feedback in the early stages of abnormalities in the ship's operating components corresponding to the data, which is beneficial to reducing the expansion of losses.

Description

Technical Field

[0001] The present invention belongs to the technical field of ship automation, and in particular relates to a stabilization system for an integrated industrial control host of a ship system. Background Art

[0002] Ship industrial control host is an important part of realizing smart ships. The so-called smart ships refer to the use of sensors, automatic control systems, Internet of Things and other means to automatically perceive information about the ship itself, the marine environment, ports, etc., and based on computer technology and big data analysis technology, realize intelligentization in ship navigation, maintenance, cargo handling, etc., making ships safer, more environmentally friendly and reliable.

[0003] In order to ensure the normal operation of the ship, it is necessary to monitor the various data generated by the ship's industrial control host during operation. In the existing technology, the monitoring of abnormal data on the ship is carried out by setting thresholds for each monitored parameter. When the corresponding parameter exceeds the corresponding threshold range, an alarm prompt is issued. However, this method can only obtain an automatic alarm response when there is an obvious abnormality in the ship structure corresponding to the parameter, which is not conducive to the timely diagnosis and discovery of abnormalities. In addition, there is a means in the existing technology to synchronously receive the ship's operating data through a ground base for analysis to achieve remote monitoring of the ship's safety. However, due to the distribution problem of the base station, the information transmission delay between the ship and the ground is large. When an abnormality occurs, the shore base and the ship staff cannot synchronize information in time, and the shore base personnel cannot obtain real-time important information. In order to solve the above problems, the present invention provides the following technical solutions. Summary of the Invention

[0004] The purpose of the present invention is to provide a stable system for integrating industrial control hosts of ship systems, so as to solve the problems in the prior art that it is difficult to detect data anomalies in the early stage and the shore base may not be able to receive real-time information, which affects the timely discovery and resolution of problems.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A stabilization system for an integrated industrial control host of a ship system, comprising:

[0007] The working condition data acquisition module is used to collect the ship working condition data and transmit it to the ship management module and the shore base management module through the data transmission module;

[0008] The shore base management module is set up on the shore base and is used to establish a remote communication connection with the working condition data acquisition module through the data transmission module, and to display and store the ship working condition data uploaded by the data transmission module;

[0009] The ship management module is installed on the corresponding ship and is used to establish a communication connection with the working condition data acquisition module through the data transmission module, display, store and analyze the ship working condition data uploaded by the data transmission module, obtain high-risk data and abnormal data in the ship working condition data, and determine the data transmission strategy based on the real-time transmission value of each ship working condition data;

[0010] The method by which the ship management module determines the data transmission strategy according to the real-time transmission value of each ship operating condition data is:

[0011] According to the importance of each ship operating condition data, a preset transmission value R is set for it, and the real-time transmission value when the corresponding ship operating condition data is marked as abnormal data is calculated according to μ1*R, and the real-time transmission value when the corresponding ship operating condition data is marked as high-risk data is calculated according to μ2*R; where 1<μ1<μ2;

[0012] The transmission capacity of the data transmission module is monitored in real time. When the data transmission capacity of the data transmission module cannot meet the real-time transmission between all ship operating condition data and the shore base management module, the transmission of some ship operating condition data to the shore base management module is suspended in the order of the real-time transmission value of each ship operating condition data from small to large. When the transmission capacity is sufficient, the corresponding ship operating condition data history records stored in the ship management module are transmitted.

[0013] As a further solution of the present invention, the method for obtaining abnormal data is:

[0014] S1. Obtain each group of ship operating condition data through the operating condition data acquisition module, determine whether each ship operating condition data is related data or independent data, and obtain the linkage data corresponding to each related data;

[0015] S2. For a piece of correlation data, mark the corresponding m numerical segments as k1, k2, ..., km, and mark the m numerical segments of a linkage data of the correlation data as k11, k12, ..., k1m;

[0016] The numerical segments corresponding to the correlation data in a fluctuation sub-segment are marked as kg to kg1, where 1≤g<g1≤m, and the numerical segments corresponding to the linkage data in the corresponding fluctuation sub-segment are marked as k1g2 to k1g3, where 1≤g2<g3≤m;

[0017] Mark (g, g2) and (g1, g3) as two comparison coordinates between the association data and the corresponding linkage data;

[0018] S3. Collecting a number of comparison coordinates between the association data and the corresponding linkage data according to the above rules;

[0019] S4. Obtain v control coordinates with g as the horizontal coordinate, and mark the corresponding v vertical coordinates as gz1, gz2, ..., gzv in sequence;

[0020] According to the distribution of gz1 to gzv, an average vertical coordinate that can represent its characteristics is obtained;

[0021] S5. Obtain the average vertical coordinate corresponding to each horizontal coordinate;

[0022] S6. Monitor a piece of correlation data to obtain its corresponding numerical segment a1 to a2 in a fluctuation sub-segment. Simultaneously monitor a linkage data of the correlation data to obtain its numerical segment c1 to c2 in the corresponding fluctuation sub-segment; thereby obtaining two comparison coordinates (a1, c1) and (a2, c2);

[0023] The average vertical coordinate corresponding to a1 is labeled a1p, and the average vertical coordinate corresponding to a2 is labeled a2p;

[0024] β1 and β2 are calculated according to the formula β1=|c1-a1p| / a1p, β2=|c2-a2p| / a2p;

[0025] When either β1 or β2 is greater than βy, the correlation data and the corresponding linkage data are marked as abnormal, and βy is a preset value;

[0026] When the number of abnormal markings of the correlation data and the corresponding linkage data reaches a preset value r1 in the preset continuous r calculations, the correlation data and the corresponding linkage data are both marked as abnormal data.

[0027] As a further solution of the present invention, the method for determining whether the ship operating condition data is related data or independent data in step S1 is:

[0028] S11. Select a set of ship operating condition data as target data, select a time point as the recording start point, and select a time point as the recording end point;

[0029] S12, evenly divide the time range from the recording start point to the recording end point into n sub-segments, and assign values of 1, 2, ..., n to these n sub-segments in sequence;

[0030] The parameter range from the lower threshold to the upper threshold of each ship operating condition data is divided into m value segments in equal steps;

[0031] When the number of value segments corresponding to a group of ship operating condition data in a sub-segment is m1, the sub-segment is marked as a fluctuation sub-segment corresponding to the ship operating condition data, where 2≤m1<m. In one embodiment of the present invention, the value of m1 is 2.

[0032] Record the fluctuation sub-segments corresponding to each set of ship operating data, mark the values of the n1 fluctuation sub-segments corresponding to the target data as f1, f2, ..., fn1 in sequence, and mark the values of the fluctuation sub-segments corresponding to a set of ship operating data other than the target data as b1, b2, ..., bn2 in sequence;

[0033] Where n1≤n; n2 is the number of fluctuation sub-segments corresponding to a set of ship operating data excluding the target data, and n2 can be less than n1, equal to n1, or greater than n1;

[0034] S13. First, match f1 with bn3 in turn and calculate the value of f(1+i)-b(n3+i), 0≤i≤(n2-n3), where 1≤n3≤n2 / 2;

[0035] Then calculate the variance F of these n2-n3+1 f(1+i)-b(n3+i) values. When F≤Fy holds true, the corresponding set of ship operating condition data is considered to be the linkage data of the target data, where Fy is the preset value.

[0036] If F>Fy, continue to match b1 with fn4 in turn and calculate the value of f(n4+j)-b(1+j), 0≤j≤(n1-n4), where 1≤n4≤n1 / 2;

[0037] Then calculate the variance F of these n1-n4+1 f(n4+j)-b(1+j) values. When F≤Fy holds true, the corresponding set of ship operating condition data is considered to be the linkage data of the target data. If F>Fy still holds true, the corresponding set of ship operating condition data is considered not to be the linkage data of the target data.

[0038] S14. When the target data has linkage data, the corresponding target data is marked as associated data; when the target data does not have linkage data, the corresponding target data is marked as independent data.

[0039] As a further solution of the present invention, the calculation method of the average ordinate in step S4 is:

[0040] According to the formula Calculate the dispersion value F1 of the data from gz1 to gzv. When F1≤F1y holds, use gzp as the average ordinate corresponding to the abscissa g.

[0041] If F1>F1y, delete the gzc values in descending order according to |gzc-gzp| until F1≤F1y holds. Calculate the deviation coefficient γ according to the formula γ=v1 / v, where v1 is the number of gzc deleted. Take (1+γ*ω)*gzpp as the average ordinate corresponding to the abscissa g, where gzpp is the average value of the gzc values that have not been deleted, and ω is a preset coefficient value less than 1.

[0042] Where 1≤c≤v, gzp=(gz1+gz2+,…,+gzv) / v, and F1y is a preset value.

[0043] As a further solution of the present invention, the method for obtaining high-risk data is: real-time monitoring of each ship operating condition data, when the corresponding parameter exceeds its preset threshold range, the corresponding ship operating condition data is marked as high-risk data.

[0044] As a further solution of the present invention, the above-mentioned stabilization system of the integrated industrial control host of a ship system further includes:

[0045] The alarm module is used to issue alarm prompts to remind the corresponding staff of abnormal data;

[0046] User terminal, the user establishes a communication connection with the shore-based management module or the ship management module through the user terminal.

[0047] Beneficial effects of the present invention:

[0048] (1) The present invention can ensure the stable real-time transmission of abnormal data, high-risk data and important parameters, which is beneficial for shore-based staff to understand the ship's operating status in a timely manner, and avoids the delay of data transmission that causes the shore-based staff to be unable to establish a stable and effective communication link with the corresponding staff of the ship management module in a timely manner, thereby facilitating the stable and healthy operation of the ship's industrial control host;

[0049] (2) When there is a close connection between two sets of ship operating condition data, when one set fluctuates violently, the other set of ship operating condition data will also fluctuate accordingly. The present invention utilizes this feature. By analyzing each set of ship operating condition data when the ship is operating normally, the correlation between the two ship operating condition data is determined, and the correlation is used to discover abnormal values. Even when the corresponding ship operating condition data does not exceed the preset threshold range, abnormal fluctuations within the range can be discovered. In the early stage of abnormality in the ship operating components corresponding to the data, timely feedback can be provided, which is conducive to reducing the expansion of losses. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below with reference to the accompanying drawings.

[0051] Figure 1 The present invention is a schematic diagram of the framework structure of a stabilization system of an integrated industrial control host of a ship system. DETAILED DESCRIPTION

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making any creative efforts shall fall within the scope of protection of the present invention.

[0053] A stable system for integrating industrial control host with ship system, such as Figure 1 As shown, including:

[0054] The working condition data acquisition module is used to collect the working condition data of the ship and transmit it to the ship management module and the shore base management module through the data transmission module;

[0055] The shore base management module is set up on the shore base and is used to establish a remote communication connection with the working condition data acquisition module through the data transmission module, and to display and store the ship working condition data uploaded by the data transmission module;

[0056] The ship management module is provided on the corresponding ship and is used to establish a communication connection with the working condition data acquisition module through the data transmission module, and to display and store the ship working condition data uploaded by the data transmission module;

[0057] The alarm module is used to issue alarm prompts to remind the corresponding staff of abnormal data;

[0058] Specifically, when high-risk data or abnormal data appears, the alarm module sends an alarm prompt message to the corresponding user terminal;

[0059] User terminal, through which the user establishes a communication connection with the shore-based management module or the ship management module and reads the industrial control data on the shore-based management module or the ship management module;

[0060] The above-mentioned working method of a stabilization system of a ship system integrated industrial control host comprises the following steps:

[0061] S1. Obtain each group of ship operating condition data through the operating condition data acquisition module, determine whether each ship operating condition data is related data or independent data, and obtain the linkage data corresponding to each related data;

[0062] Specifically, the following steps are included:

[0063] S11. During a period without abnormal data, a set of ship operating condition data is selected as target data, a time point is selected as the recording start point, and a time point is selected as the recording end point, and the time difference between the recording start point and the recording end point is greater than or equal to a preset value t;

[0064] S12, evenly divide the time range from the recording start point to the recording end point into n sub-segments, and assign values of 1, 2, ..., n to these n sub-segments in sequence;

[0065] The parameter range from the lower threshold to the upper threshold of each ship operating condition data is divided into m value segments in equal steps;

[0066] When the number of value segments corresponding to a group of ship operating condition data in a sub-segment is m1, the sub-segment is marked as a fluctuation sub-segment corresponding to the ship operating condition data, where 2≤m1<m. In one embodiment of the present invention, the value of m1 is 2.

[0067] Record the fluctuation sub-segments corresponding to each set of ship operating data, mark the values of the n1 fluctuation sub-segments corresponding to the target data as f1, f2, ..., fn1 in sequence, and mark the values of the fluctuation sub-segments corresponding to a set of ship operating data other than the target data as b1, b2, ..., bn2 in sequence;

[0068] Where n1≤n; n2 is the number of fluctuation sub-segments corresponding to a set of ship operating data excluding the target data, and n2 can be less than n1, equal to n1, or greater than n1;

[0069] S13. First, match f1 with bn3 in turn and calculate the value of f(1+i)-b(n3+i), 0≤i≤(n2-n3), where 1≤n3≤n2 / 2;

[0070] Then calculate the variance F of these n2-n3+1 f(1+i)-b(n3+i) values. When F≤Fy holds true, the corresponding set of ship operating condition data is considered to be the linkage data of the target data, where Fy is the preset value.

[0071] If F>Fy, continue to match b1 with fn4 in turn and calculate the value of f(n4+j)-b(1+j), 0≤j≤(n1-n4), where 1≤n4≤n1 / 2;

[0072] Then calculate the variance F of these n1-n4+1 f(n4+j)-b(1+j) values. When F≤Fy holds true, the corresponding set of ship operating condition data is considered to be the linkage data of the target data. If F>Fy still holds true, the corresponding set of ship operating condition data is considered not to be the linkage data of the target data.

[0073] S14. When the target data has linkage data, the corresponding target data is marked as associated data; when the target data does not have linkage data, the corresponding target data is marked as independent data;

[0074] When there is a close correlation between two sets of ship operating condition data, when one set experiences a sharp fluctuation, the other set of ship operating condition data will also fluctuate accordingly. The present invention utilizes this feature to determine the correlation between the two sets of ship operating condition data by analyzing each set of ship operating condition data during normal operation.

[0075] S2. Determine the difference coefficient between the correlation data and its linkage data to determine whether there is a problem with one of them;

[0076] S21. For a piece of correlation data, mark the corresponding m numerical segments as k1, k2, ..., km, and mark the m numerical segments of a linkage data of the correlation data as k11, k12, ..., k1m;

[0077] The numerical segments corresponding to the correlation data in a fluctuation sub-segment are marked as kg to kg1, where 1≤g<g1≤m, and the numerical segments corresponding to the linkage data in the corresponding fluctuation sub-segment are marked as k1g2 to k1g3, where 1≤g2<g3≤m;

[0078] Mark (g, g2) and (g1, g3) as two comparison coordinates between the association data and the corresponding linkage data;

[0079] S22. Collecting a plurality of comparison coordinates between the association data and the corresponding linkage data according to the above rules;

[0080] S23, obtaining v control coordinates with g as the horizontal coordinate, and marking the corresponding v vertical coordinates as gz1, gz2, ..., gzv in sequence;

[0081] According to the formula Calculate the dispersion value F1 of the data from gz1 to gzv. When F1≤F1y holds, use gzp as the average ordinate corresponding to the abscissa g.

[0082] If F1>F1y, delete the gzc values in descending order according to |gzc-gzp| until F1≤F1y holds. Calculate the deviation coefficient γ according to the formula γ=v1 / v, where v1 is the number of gzc deleted. Take (1+γ*ω)*gzpp as the average ordinate corresponding to the abscissa g, where gzpp is the average value of the gzc values that have not been deleted, and ω is a preset coefficient value less than 1.

[0083] Where 1≤c≤v, gzp=(gz1+gz2+,…,+gzv) / v, and F1y is the preset value;

[0084] S24, obtaining the average vertical coordinate corresponding to each horizontal coordinate;

[0085] S25. Monitor a piece of correlation data to obtain its corresponding numerical segment a1 to a2 in a fluctuation sub-segment. Simultaneously monitor a linkage data of the correlation data to obtain its numerical segment c1 to c2 in the corresponding fluctuation sub-segment; thereby obtaining two comparison coordinates (a1, c1) and (a2, c2).

[0086] The average vertical coordinate corresponding to a1 is marked as a1p, and the average vertical coordinate corresponding to a2 is marked as a2p;

[0087] β1 and β2 are calculated according to the formula β1=|c1-a1p| / a1p, β2=|c2-a2p| / a2p;

[0088] When either β1 or β2 is greater than βy, the correlation data and the corresponding linkage data are marked as abnormal, and βy is a preset value;

[0089] When the number of abnormal markings of the correlation data and the corresponding linkage data reaches a preset value r1 in the preset continuous r calculations, both the correlation data and the corresponding linkage data are marked as abnormal data;

[0090] This step discovers abnormal values by utilizing the correlation between the two sets of ship operating data. Even when the corresponding ship operating data does not exceed the preset threshold range, abnormal fluctuations within the range can be discovered. In the early stage of abnormalities in the ship operating components corresponding to the data, timely feedback can be provided, which is conducive to reducing the expansion of losses.

[0091] S3. Real-time monitoring of each ship's operating condition data. When the corresponding parameter exceeds its preset threshold range, the corresponding ship's operating condition data is marked as high-risk data;

[0092] S4. Preset a transmission value R for each ship operating condition data according to its importance, and calculate the real-time transmission value when the corresponding ship operating condition data is marked as abnormal data according to μ1*R, and calculate the real-time transmission value when the corresponding ship operating condition data is marked as high-risk data according to μ2*R; where 1<μ1<μ2;

[0093] S5. Real-time monitoring of the transmission capacity of the data transmission module. When the data transmission capacity of the data transmission module cannot meet the real-time transmission requirements of all ship operating condition data between the shore-based management module and the shore-based management module, the transmission of some ship operating condition data to the shore-based management module is suspended in ascending order of the real-time transmission value of each ship operating condition data. When the transmission capacity is sufficient, the corresponding ship operating condition data history stored in the ship management module is transmitted.

[0094] The present invention can ensure the stable real-time transmission of abnormal data, high-risk data and important parameters, which is beneficial for shore-based staff to understand the ship's operating status in a timely manner, and avoid the delay in data transmission that causes the shore-based base to be unable to establish a stable and effective communication link with the staff corresponding to the ship management module in a timely manner, thereby facilitating the stable and healthy operation of the ship's industrial control host.

[0095] Throughout the specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0096] The above contents are merely examples and explanations of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in similar ways. As long as they do not deviate from the invention or exceed the scope defined by the claims, they should all fall within the scope of protection of the present invention.

Claims

1. A stabilization system for an integrated industrial control host of a ship system, characterized in that: include: The working condition data acquisition module is used to collect the ship working condition data and transmit it to the ship management module and the shore base management module through the data transmission module; The shore base management module is set up on the shore base and is used to establish a remote communication connection with the working condition data acquisition module through the data transmission module, and to display and store the ship working condition data uploaded by the data transmission module; The ship management module is installed on the corresponding ship and is used to establish a communication connection with the working condition data acquisition module through the data transmission module, display, store and analyze the ship working condition data uploaded by the data transmission module, obtain high-risk data and abnormal data in the ship working condition data, and determine the data transmission strategy based on the real-time transmission value of each ship working condition data; The method by which the ship management module determines the data transmission strategy according to the real-time transmission value of each ship operating condition data is: According to the importance of each ship operating condition data, a preset transmission value R is set for it, and the real-time transmission value when the corresponding ship operating condition data is marked as abnormal data is calculated based on μ1*R, and the real-time transmission value when the corresponding ship operating condition data is marked as high-risk data is calculated based on μ2*R; Where 1<μ1<μ2; The transmission capacity of the data transmission module is monitored in real time. When the data transmission capacity of the data transmission module cannot meet the real-time transmission between all ship working condition data and the shore-based management module, the real-time transmission value of each ship working condition data is suspended in ascending order, and the transmission of some ship working condition data to the shore-based management module is stopped. When the transmission capacity is sufficient, the corresponding ship working condition data history stored in the ship management module is transmitted; The method for obtaining the abnormal data is: S1. Obtain each group of ship operating condition data through the operating condition data acquisition module, determine whether each ship operating condition data is related data or independent data, and obtain the linkage data corresponding to each related data; S2. For a piece of correlation data, mark the corresponding m numerical segments as k1, k2, ..., km, and mark the m numerical segments of a linkage data of the correlation data as k11, k12, ..., k1m; The numerical segments corresponding to the correlation data in a fluctuation sub-segment are marked as kg to kg1, where 1≤g<g1≤m, and the numerical segments corresponding to the linkage data in the corresponding fluctuation sub-segment are marked as k1g2 to k1g3, where 1≤g2<g3≤m; Mark (g, g2) and (g1, g3) as two comparison coordinates between the association data and the corresponding linkage data; S3. Collecting a plurality of comparison coordinates between the association data and the corresponding linkage data according to the method in S2; S4. Obtain v control coordinates with g as the horizontal coordinate, and mark the corresponding v vertical coordinates as gz1, gz2, ..., gzv in sequence; According to the distribution of gz1 to gzv, an average vertical coordinate that can represent its characteristics is obtained; S5. Obtain the average vertical coordinate corresponding to each horizontal coordinate; S6. Monitor a piece of correlation data to obtain its corresponding numerical segment a1 to a2 in a fluctuation sub-segment. Simultaneously monitor a linkage data of the correlation data to obtain its numerical segment c1 to c2 in the corresponding fluctuation sub-segment; thereby obtaining two comparison coordinates (a1, c1) and (a2, c2); The average vertical coordinate corresponding to a1 is labeled a1p, and the average vertical coordinate corresponding to a2 is labeled a2p; β1 and β2 are calculated according to the formula β1=|c1-a1p| / a1p, β2=|c2-a2p| / a2p; When either β1 or β2 is greater than βy, the correlation data and the corresponding linkage data are marked as abnormal, and βy is a preset value; When the number of abnormal markings of the correlation data and the corresponding linkage data reaches a preset value r1 in the preset continuous r calculations, the correlation data and the corresponding linkage data are both marked as abnormal data.

2. A stabilization system for an integrated industrial control host of a ship system according to claim 1, characterized in that: The method for determining whether the ship operating condition data is related data or independent data in step S1 is: S11. Select a set of ship operating condition data as target data, select a time point as the recording start point, and select a time point as the recording end point; S12, evenly divide the time range from the recording start point to the recording end point into n sub-segments, and assign values of 1, 2, ..., n to these n sub-segments in sequence; The parameter range from the lower threshold to the upper threshold of each ship operating condition data is divided into m value segments in equal steps; When the number of value segments corresponding to a group of ship operating condition data in a sub-segment is m1, the sub-segment is marked as a fluctuation sub-segment corresponding to the ship operating condition data, where 2≤m1<m; Record the fluctuation sub-segments corresponding to each set of ship operating data, mark the values of the n1 fluctuation sub-segments corresponding to the target data as f1, f2, ..., fn1 in sequence, and mark the values of the fluctuation sub-segments corresponding to a set of ship operating data other than the target data as b1, b2, ..., bn2 in sequence; Where n1≤n; n2 is the number of fluctuation sub-segments corresponding to a set of ship operating data excluding the target data; S13. First, match f1 with bn3 in turn and calculate the value of f(1+i)-b(n3+i), 0≤i≤(n2-n3), where 1≤n3≤n2 / 2; Then calculate the variance F of these n2-n3+1 f(1+i)-b(n3+i) values. When F≤Fy holds true, the corresponding set of ship operating condition data is considered to be the linkage data of the target data, where Fy is the preset value. If F>Fy, then continue to match b1 with fn4 in turn and calculate the value of f(n4+j)-b(1+j), 0≤j≤(n1-n4), where 1≤n4≤n1 / 2; Then calculate the variance F of these n1-n4+1 f(n4+j)-b(1+j) values. When F≤Fy holds true, the corresponding set of ship operating condition data is considered to be the linkage data of the target data. If F>Fy still holds true, the corresponding set of ship operating condition data is considered not to be the linkage data of the target data. S14. When the target data has linkage data, the corresponding target data is marked as associated data; when the target data does not have linkage data, the corresponding target data is marked as independent data.

3. The stabilization system of the ship system integrated industrial control host according to claim 1 is characterized in that: The calculation method of the average ordinate in step S4 is: According to the formula Calculate the dispersion value F1 of the data from gz1 to gzv. When F1≤F1y holds, use gzp as the average ordinate corresponding to the abscissa g. If F1>F1y, delete the gzc values in descending order according to |gzc-gzp| until F1≤F1y holds. Calculate the deviation coefficient γ according to the formula γ=v1 / v, where v1 is the number of gzc deleted. Take (1+γ*ω)*gzpp as the average ordinate corresponding to the abscissa g, where gzpp is the average value of the gzc values that have not been deleted, and ω is a preset coefficient value less than 1. Where 1≤c≤v, gzp=(gz1+gz2+,…,+gzv) / v, and F1y is a preset value.

4. The stabilization system of a ship system integrated industrial control host according to claim 1, characterized in that: The method for acquiring the high-risk data is: real-time monitoring of each ship's operating condition data is performed, and when the corresponding parameter exceeds its preset threshold range, the corresponding ship's operating condition data is marked as high-risk data.

5. The stabilization system of the ship system integrated industrial control host according to claim 1 is characterized in that: The system also includes: The alarm module is used to issue alarm prompts to remind the corresponding staff of abnormal data; User terminal, the user establishes a communication connection with the shore-based management module or the ship management module through the user terminal.

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