A ship cable tension measurement safety warning method and system

Abstract

The application discloses a kind of ship cable tension measurement safety early warning method and system, it is related to ship cable tension detection technical field, first determine the influence factor of ship cable tension;Obtain ship cable tension historical change data, and the influence factor historical change data, and the correlation between the ship cable tension and the influence factor is constructed;The trend prediction is carried out to the influence factor historical change data, and the predicted data of future period influence factor is obtained, in combination with the correlation, the predicted data of future period ship cable tension is obtained;The predicted data of future period ship cable tension and current ship cable tension real-time data are compared with preset tension alarm threshold value, when reaching the preset tension alarm threshold value, then alarm is carried out.The application can more scientifically and accurately predict and alarm future period ship cable tension, improve the safety of mooring cable under different weather environment.

Description

Technical Field

[0001] This invention relates to the field of ship cable tension detection technology, and more specifically to a safety early warning method and system for measuring ship cable tension. Background Technology

[0002] Mooring safety when ships dock is a long-standing concern in the shipping industry, and whether the cable tension exceeds the standard is one of the key factors.

[0003] Under long-term and complex marine dynamic environments, exceeding the design threshold of mooring cable tension is one of the main causes of offshore platform capsizing. In special environments such as typhoons, complex wind and wave conditions at sea may concentrate mooring forces on some mooring cables, causing damage to the mooring cable structure. The resulting chain reaction may trigger serious disasters such as offshore platform capsizing.

[0004] However, simply measuring and alarming the tension of ship mooring lines in real time cannot solve the problem of preventing potential disasters in the future. Therefore, how to improve the safety of mooring lines under different weather conditions and predict and alarm the tension of ship mooring lines in the future is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides a method and system for safety early warning of ship cable tension measurement.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A safety early warning method for measuring ship cable tension includes the following steps:

[0008] Step 1: Determine the influencing factors of ship cable tension;

[0009] Step 2: Obtain historical variation data of ship cable tension and historical variation data of the influencing factors;

[0010] Step 3: Based on the historical change data of the ship cable tension and the historical change data of the influencing factors, construct the correlation between the ship cable tension and the influencing factors;

[0011] Step 4: Perform trend prediction on the historical change data of the influencing factors to obtain the predicted data of the influencing factors for future periods;

[0012] Step 5: Based on the predicted data of the influencing factors for the future period and the correlation between the ship cable tension and the influencing factors, the predicted data of the ship cable tension for the future period is obtained.

[0013] Step 6: Compare the predicted data of the ship's cable tension in the future time period and the real-time data of the ship's cable tension in the current time period with the preset tension alarm threshold. When the predicted data of the ship's cable tension in the future time period or the real-time data of the ship's cable tension in the current time period reaches the preset tension alarm threshold, an alarm is triggered.

[0014] Optionally, in step 1, the influencing factors of the ship's cable tension include at least tidal changes, wave height changes, and wind speed and direction.

[0015] Optionally, in step 2, the method for obtaining historical change data of the influencing factors is as follows:

[0016] Tide level change data is obtained using a tide level telemetry instrument; wave height change data is obtained using a wave radar; wind speed and direction data are obtained using an anemometer.

[0017] Optionally, in step 2, the method for obtaining historical change data of ship cable tension is as follows: a tension sensor is installed on the hook of the ship cable, the tension sensor is connected to a wireless signal transmitter through a signal acquisition module, the wireless signal transmitter transmits the signal to a wireless signal receiver through 4G wireless transmission, and the wireless signal receiver transmits the received signal to a terminal device.

[0018] Optionally, in step 3, the method for constructing the correlation between the ship cable tension and the influencing factor is as follows: using the Apriori association rule algorithm, based on the historical change data of the ship cable tension and the historical change data of the influencing factor, to mine the association rules between the historical change data of the ship cable tension and the historical change data of the influencing factor.

[0019] Optionally, in step 4, the method for trend prediction of the historical change data of the influencing factors is as follows:

[0020] The EEMD algorithm was used to decompose the historical change data of the influencing factors into S1, S2, ... Sn from high frequency to low frequency and the residual Sn+1.

[0021] S1, S2, ..., Sn+1 are imported into the ML-ESN model for prediction, and the prediction results are output; the prediction results are denoted as P1, P2, ..., Pn+1;

[0022] The sums of P1, P2, ..., Pn+1 are used as the predicted data for the influencing factor.

[0023] Optionally, in step 6, an audible and visual alarm is triggered on the terminal device when an alarm is triggered.

[0024] A safety early warning system for measuring the tension of ship cables includes a data acquisition unit, a data transmission unit, a data processing unit, and an alarm unit connected in sequence.

[0025] The data acquisition unit is used to collect historical change data of ship cable tension and historical change data of influencing factors;

[0026] The data transmission unit is used to transmit the data collected by the data acquisition unit to the data processing unit;

[0027] The data processing unit is used to process the received data;

[0028] The alarm unit is used to issue an alarm based on the processing result.

[0029] Optionally, the data acquisition unit includes a tide level telemetry instrument, a wave radar, a wind speed and direction instrument, a tension sensor, and a signal acquisition module;

[0030] The data transmission unit includes a wireless signal transmitter, a 4G wireless transmitter, and a wireless signal receiver.

[0031] The data processing unit is a processor installed in the terminal device;

[0032] The alarm unit includes a sound alarm or a light alarm.

[0033] As can be seen from the above technical solution, the present invention provides a method and system for safety early warning of ship cable tension measurement, which has the following advantages compared with the prior art:

[0034] This invention first acquires historical variation data of influencing factors and historical variation data of ship mooring line tension using devices such as tide level telemetry instruments and anemometers. A correlation is established between these two data points. Based on this correlation and the predicted trend changes of the influencing factors, the predicted data for ship mooring line tension in the future is then determined. This invention does not directly predict the trend of ship mooring line tension; instead, it uses the trend changes of influencing factors to determine the future trend of ship mooring line tension. This method enables more scientific and accurate prediction and warning of future ship mooring line tension, improving the safety of mooring lines under different weather conditions. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of the method steps of the present invention;

[0037] Figure 2 This is a schematic diagram of the system structure of the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] This invention discloses a safety early warning method for measuring the tension of ship cables, see [link to relevant documentation]. Figure 1 This includes the following steps:

[0040] Step 1: Determine the influencing factors of ship cable tension.

[0041] In specific application scenarios, the influencing factors of ship cable tension include at least tidal changes, wave height changes, and wind speed and direction. Tidal changes, wave height changes, and wind speed and direction are all key factors affecting ship cable tension and are also the objective causes of cable breakage.

[0042] Step 2: Obtain historical change data of ship cable tension and historical change data of the influencing factors.

[0043] The methods for obtaining historical change data of influencing factors are as follows: using a tide level telegraph to acquire tide level change data; using wave radar to acquire wave height change data; and using an anemometer to acquire wind speed and direction data. The tide level telegraph digitizes the real-time collected tide level data through surge suppression and intelligent filtering, converting it into tide level information, which is then broadcast. This overcomes the human error inherent in manual tide reporting. It is widely used in port terminals and port dredging projects, and can also be used in hydrological observation. In other application scenarios, wave radar can be used to detect tide level change data, wave height change data, etc.

[0044] The method for obtaining historical change data of ship cable tension is as follows: a tension sensor is installed on the hook of the ship cable, the tension sensor is connected to a wireless signal transmitter through a signal acquisition module, the wireless signal transmitter transmits the signal to a wireless signal receiver through 4G wireless transmission, and the wireless signal receiver transmits the received signal to a terminal device.

[0045] Step 3: Using the Apriori association rule algorithm, based on the historical change data of ship cable tension and the historical change data of influencing factors, mine the association rules between the historical change data of ship cable tension and the historical change data of influencing factors.

[0046] Step 4: Perform trend prediction on the historical change data of the influencing factors to obtain the predicted data of the influencing factors for future periods.

[0047] The method for trend prediction of the historical change data of the aforementioned influencing factors is as follows:

[0048] The EEMD algorithm is used to decompose the historical change data of the impact factor into S1, S2, ..., Sn from high frequency to low frequency, and the residual Sn+1. S1, S2, ..., Sn+1 are then imported into the ML-ESN model for prediction, and the prediction results are output as P1, P2, ..., Pn+1. The sums of P1, P2, ..., Pn+1 are used as the predicted data for the impact factor. This method can only predict the data for the next time point; therefore, it is necessary to continuously repeat the above prediction method to obtain the predicted impact factor data for future time periods.

[0049] In other embodiments, the trend prediction process of the historical change data of the influencing factors can also be combined with information such as weather forecasts to obtain forecast data of the influencing factors in the future time period, providing more reference data for the prediction of the influencing factors and improving the accuracy of the prediction results.

[0050] Step 5: Based on the predicted data of the influencing factors for the future period and the correlation between the ship cable tension and the influencing factors, the predicted data of the ship cable tension for the future period is obtained.

[0051] Step 6: Compare the predicted data of the ship's cable tension in the future time period and the real-time data of the ship's cable tension in the current time period with the preset tension alarm threshold. When the predicted data of the ship's cable tension in the future time period or the real-time data of the ship's cable tension in the current time period reaches the preset tension alarm threshold, an alarm is triggered. When an alarm is triggered, an audible and visual alarm can be triggered on the terminal device.

[0052] In another embodiment, a ship cable tension measurement safety early warning system is also provided, see [link to relevant documentation]. Figure 2 It includes interconnected data acquisition units, data transmission units, data processing units, and alarm units;

[0053] The data acquisition unit is used to collect historical change data of ship cable tension and historical change data of influencing factors. The data acquisition unit includes a tide level telemetry instrument, wave radar, wind speed and direction instrument, tension sensor, signal acquisition module, etc.

[0054] The data transmission unit is used to transmit the data collected by the data acquisition unit to the data processing unit, and includes a wireless signal transmitter, a 4G wireless transmission, and a wireless signal receiver; the transmission distance of the data transmission unit is 15KM for unobstructed wireless transmission over the sea surface; the transmission interval can be set arbitrarily from 30 to 900 seconds.

[0055] The data processing unit is a processor installed in the terminal device, used to process the received data;

[0056] The alarm unit is used to issue an alarm based on the processing result, and can typically be an audible alarm or a light alarm.

[0057] The terminal device not only has an alarm unit, but can also display historical data, real-time data, and future time period prediction data of ship cable tension measurement on the display screen for staff reference.

[0058] The system also includes a power supply unit for supplying power to the aforementioned tension sensor, signal acquisition module, and other devices. The power supply is either AC220V or DC12V, and can supply power simultaneously or select a single power supply, with AC220V being the preferred choice.

[0059] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. Regarding the system structure disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0060] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A safety early warning method for measuring ship cable tension, characterized in that, Includes the following steps: Step 1: Determine the influencing factors of ship cable tension; Step 2: Obtain historical variation data of ship cable tension and historical variation data of the influencing factors; Step 3: Based on the historical change data of the ship cable tension and the historical change data of the influencing factors, construct the correlation between the ship cable tension and the influencing factors; Step 4: Perform trend prediction on the historical change data of the influencing factors to obtain the predicted data of the influencing factors for future periods; Step 5: Based on the predicted data of the influencing factors for the future period and the correlation between the ship cable tension and the influencing factors, the predicted data of the ship cable tension for the future period is obtained. Step 6: Compare the predicted data of the ship's cable tension in the future time period and the real-time data of the ship's cable tension in the current time period with the preset tension alarm threshold. When the predicted data of the ship's cable tension in the future time period or the real-time data of the ship's cable tension in the current time period reaches the preset tension alarm threshold, an alarm is triggered. In step 3, the method for constructing the correlation between the ship cable tension and the influencing factor is as follows: using the Apriori association rule algorithm, based on the historical change data of the ship cable tension and the historical change data of the influencing factor, the association rules between the historical change data of the ship cable tension and the historical change data of the influencing factor are mined. In step 4, the method for trend prediction of the historical change data of the influencing factors is as follows: The EEMD algorithm was used to decompose the historical change data of the influencing factors into S1, S2, ... Sn from high frequency to low frequency and the residual Sn+1. S1, S2, ..., Sn+1 are imported into the ML-ESN model for prediction, and the prediction results are output; the prediction results are denoted as P1, P2, ..., Pn+1; The sums of P1, P2, ..., Pn+1 are used as the predicted data for the influencing factor.

2. The method for safety early warning of ship cable tension measurement according to claim 1, characterized in that, In step 1, the influencing factors of the ship's cable tension include at least tidal changes, wave height changes, and wind speed and direction.

3. The safety early warning method for measuring ship cable tension according to claim 2, characterized in that, In step 2, the method for obtaining historical change data of the impact factor is as follows: Tide level change data is obtained using a tide level telemetry instrument; wave height change data is obtained using a wave radar; wind speed and direction data are obtained using an anemometer.

4. The safety early warning method for measuring ship cable tension according to claim 1, characterized in that, In step 2, the method for obtaining historical change data of ship cable tension is as follows: a tension sensor is installed on the hook of the ship cable, the tension sensor is connected to a wireless signal transmitter through a signal acquisition module, the wireless signal transmitter transmits the signal to a wireless signal receiver through 4G wireless transmission, and the wireless signal receiver transmits the received signal to a terminal device.

5. A safety early warning method for measuring ship cable tension according to claim 1, characterized in that, In step 6, when an alarm is triggered, an audible and visual alarm is activated on the terminal device.

6. A safety early warning system for measuring ship cable tension, characterized in that, It includes a data acquisition unit, a data transmission unit, a data processing unit, and an alarm unit connected in sequence; The data acquisition unit is used to collect historical change data of ship cable tension and historical change data of influencing factors; The data transmission unit is used to transmit the data collected by the data acquisition unit to the data processing unit; The data processing unit is used to process the received data; The alarm unit is used to issue an alarm based on the processing result.

7. A ship cable tension measurement safety early warning system according to claim 6, characterized in that, The data acquisition unit includes a tide level telemetry instrument, a wave radar, a wind speed and direction instrument, a tension sensor, and a signal acquisition module; The data transmission unit includes a wireless signal transmitter, a 4G wireless transmitter, and a wireless signal receiver. The data processing unit is a processor installed in the terminal device; The alarm unit includes a sound alarm or a light alarm.

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