An intelligent monitoring system for improving the safety of container ship cargo transportation

Abstract

The application relates to an intelligent monitoring system for improving the safety of container ship cargo carrying, belonging to the technical field of intelligent monitoring, which comprises a sensor-equipped bottom lock, a sensor-equipped twist lock, a sensor-equipped binding rod, a signal collection module and an analysis computer module; the sensor-equipped bottom lock is connected with a ship body and the bottommost layer of containers; the sensor-equipped twist lock is connected with adjacent containers; the sensor-equipped binding rod is connected with a binding bridge structure and high-layer containers; the sensor-equipped bottom lock, the sensor-equipped twist lock and the sensor-equipped binding rod also acquire corresponding position measurement data and transmit the data to the analysis computer module through the signal collection module, and the data are displayed through a server display module. The application can monitor container state information in real time, compare collected data with safety values in real time, predict the possible sailing state of a ship in the future and the response of loaded container cargo, adjust a sailing route or reduce a sailing speed, adjust a sailing direction and the like, and improve the sailing safety.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of intelligent monitoring, and relates to a system and method for improving the safety of cargo transportation of a sea container ship, in particular to an intelligent monitoring system for improving the safety of cargo transportation of a container ship. BACKGROUND

[0002] With the development of large-scale container ships, more and more ship owners increase the number of stacked containers in the cargo hold and on the deck to improve the loading capacity, thereby reducing the average container shipping cost and improving the profit level. On the one hand, the number of stacked containers is increasing, and the wind and wave load acting on the containers is increasing; on the other hand, the weight of the stacked containers is also increasing. When the ship is in a rolling state, the stacked containers will generate a large inertial force, and when the force exceeds the stress limit of the securing system, the container will be damaged. The continuous pursuit of loading capacity by ship owners has brought greater challenges to the safety of cargo transportation of container ships. Even if the cargo securing system design meets the requirements of the classification society, it is difficult to ensure safety in extreme sea conditions, and container loss occurs from time to time.

[0003] The popularity of electronic products has led to the widespread use of lithium batteries. When loading goods in a container, if the container contains lithium batteries and other flammable and explosive materials, there is a risk of self-ignition during transportation. During the loading process of the container, the shipper often fails to understand the dangerous goods, resulting in missed declaration, which will misjudge the danger of the container and treat the dangerous goods container as a regular container. Due to the characteristics of container ships, the bridge or even the deck cannot obtain a good view of all containers. If a single container ignites internally, it is usually too late when the naked eye can observe it, missing the best opportunity to extinguish the fire, thereby causing huge property losses to the ship owner and the shipper.

[0004] Under such circumstances, how to ensure the safety of cargo transportation of container ships, avoid container damage accidents, and detect fire hazards early has become a research topic in the industry. SUMMARY

[0005] The purpose of the present application is to provide an intelligent monitoring system for improving the safety of cargo transportation of a container ship to ensure the safety of cargo transportation of a container ship, avoid container damage accidents, and detect fire hazards early.

[0006] In order to achieve the above object, the technical scheme of the present application provides an intelligent monitoring system for improving the safety of container ship cargo carrying, comprising a sensor-equipped bottom lock, a sensor-equipped twist lock, a sensor-equipped binding rod, a signal collection module and an analysis computer module, the sensor-equipped bottom lock is connected with the ship body and the bottommost container, the sensor-equipped twist lock is connected with adjacent containers, the sensor-equipped binding rod is connected with the binding bridge structure and the high-level container, the sensor-equipped bottom lock, the sensor-equipped twist lock and the sensor-equipped binding rod also acquire corresponding position measurement data and transmit the data to the analysis computer module through the signal collection module, and the data is displayed through a server display module.

[0007] Preferably, the sensor-equipped bottom lock and the sensor-equipped twist lock can acquire the stress value between the corresponding position containers, the acceleration of the container and the temperature value of the position; the sensor-equipped binding rod can acquire the force of the container on the binding bridge structure in the rolling state.

[0008] Preferably, the bottom lock comprises a detachable power supply, a pressure sensor and a temperature sensor; the twist lock comprises a detachable power supply, a stress sensor, an acceleration sensor and a temperature sensor; the detachable power supply is built into the flange plate of the twist lock, and the height direction does not exceed the thickness of the flange; the stress sensor can monitor the pressure on the flange plate of the twist lock and the tension on the twist lock cone; the acceleration sensor can monitor the acceleration value of the container; and the temperature sensor can monitor the temperature of the adjacent container.

[0009] Preferably, the weight change of the upper container stack in a static environment can be collected by the sensor-equipped bottom lock to determine the loading and lifting of the container.

[0010] Preferably, the signal collection module is arranged below the binding bridge platform of the transverse bulkhead between the containers, does not affect the passage space and is easy to arrange cables, three to four signal collection modules are arranged on one bridge to improve the collection efficiency and accuracy.

[0011] Preferably, the analysis computer module establishes a three-dimensional visualization model of the container cargo loading of the whole ship according to the actual container loading of the ship, visualizes the sensor-equipped bottom lock, the sensor-equipped twist lock and the sensor-equipped binding rod in the three-dimensional model of the cargo loading, and displays the measurement data collected by the sensors.

[0012] Preferably, the analysis computer module can calculate the worst environmental conditions that the container can resist in the fastening state, and generate corresponding stress and acceleration values, and after considering the safety factor, the values are taken as the safety values of the current voyage.

[0013] Preferably, when the belt sensor bottom lock, the belt sensor twist lock or the belt sensor lashing rod is stressed or accelerated beyond the safety value, the analysis computer will timely remind to take necessary action to reduce the risk, and the analysis computer module also generates a temperature field model of the whole ship container according to the collected temperature information, so as to timely find the container with abnormally high temperature and take necessary measures to reduce the risk of fire.

[0014] Preferably, the navigation early warning module is further included, which presets a navigation route according to the real-time navigation state of the ship, calculates the response of the container cargo under the corresponding condition in combination with the sea state information in the next few hours, and compares with the safety value provided by the analysis computer module; when the ship will produce a large amplitude roll response under the current navigation state and along the current navigation route under the action of the future possible environmental load, resulting in stress and acceleration exceeding the safety value, the navigation early warning module will issue a warning to remind to take measures such as reducing speed, adjusting the angle of attack or even adjusting the navigation route to avoid possible container damage accidents.

[0015] Preferably, the emergency alarm unit is further included and arranged in the driver's cabin; when the analysis computer module judges that there is a risk of container damage or container fire, an alarm signal will be issued.

[0016] Compared with the prior art, the present application has the following advantages and effects:

[0017] The present application monitors the state information of the container in real time through the belt sensor container bottom lock, twist lock and lashing rod; the analysis computer obtains the safety value of stress and acceleration after considering the safety factor based on the accurate loading condition and lashing condition collected; the collected data is compared with the safety value in real time, and a warning is issued in time when the stress or acceleration of the bottom lock, twist lock or lashing bridge exceeds the safety value; the navigation early warning module predicts the possible navigation state of the ship and the response of the loaded container cargo based on the predicted environmental information by using the navigation information of the ship, and issues a warning in time if there is a risk of container damage, so as to adjust the navigation route or reduce the speed, adjust the navigation direction, etc., so as to improve the navigation safety. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 is a flow chart of an intelligent monitoring system for improving the safety of container ship cargo according to the present application;

[0019] Figure 2 is a safety prediction flow chart of the monitoring system under future sea conditions according to the present application;

[0020] Figure 3 is a principle diagram of container loading quantity confirmation according to the present application;

[0021] Figure 4 is a typical transverse bulkhead arrangement according to the present application Figure 1;

[0022] Figure 5 is a typical transverse bulkhead arrangement schematic of the present application Figure 2 ;

[0023] Figure 6 is a full ship arrangement schematic of the present application

[0024] Figure 7 is a container bottom lock and twist lock with sensor schematic of the present application

[0025] Figure 8 is a container lashing rod with sensor schematic of the present application

[0026] Fig. 11 is a bottom lock with sensor; 111 is a flange one; 112 is a power supply one; 113 is a pressure sensor; 114 is a stress sensor one; 115 is a temperature sensor one; 12 is a twist lock with sensor; 121 is a flange two; 122 is a power supply two; 123 is a stress sensor two; 124 is an acceleration sensor; 125 is a temperature sensor two; 13 is a lashing rod with sensor; 131 is a power supply three; 132 is a stress sensor three; 21 is a signal collection module; 31 is an analysis computer module; 32 is a server display module; 41 is a voyage warning module; 42 is an emergency alarm unit. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0028] The embodiments of the present application disclose an intelligent monitoring system for improving the safety of container ship cargo carrying, which comprises a bottom lock with sensor 11, a twist lock with sensor 12, a lashing rod with sensor 13, a signal collection module 21, an analysis computer module 31 and a voyage warning module 41. The bottom lock with sensor 11 and the twist lock with sensor 12 are used for fixing the bottom layer container to the ship body and fixing the containers between each other respectively; the lashing rod with sensor 13 is used for fixing the high layer container to the lashing bridge structure, as shown in the drawing. Figure 4 The bottom lock with sensor 11 and the twist lock with sensor 12 can obtain the stress value between the containers at the corresponding position, the acceleration of the container and the temperature value at the position; the lashing rod with sensor 13 can obtain the force of the container on the lashing rod structure in the rolling state.

[0029] The analysis computer module 31 establishes a three-dimensional visual model of the entire ship container cargo loading according to the actual container loading of the ship, visualizes the bottom lock 11 with sensor, the twist lock 12 with sensor and the lashing rod 13 with sensor in the cargo loading three-dimensional model, and displays the measurement data collected by the sensor in real time. The analysis computer module 31 can obtain accurate loading conditions and lashing conditions through the bottom lock 11 with sensor, the twist lock 12 with sensor and the lashing rod 13 with sensor, calculate the worst environmental conditions that the container can resist in the lashing state, and generate corresponding stress and acceleration values, which are considered as safety values of this voyage after considering the safety factor. When the stress or acceleration of the bottom lock 11 with sensor, the twist lock 12 with sensor or the lashing rod 13 with sensor exceeds the safety value, the analysis computer module 31 will timely remind the captain to take necessary actions to reduce the risk. The analysis computer module 31 can also generate a temperature field model of the entire ship container according to the collected temperature information, so as to help the captain find abnormally high temperature containers in time and take necessary measures to reduce the risk of fire. The above information is visualized and displayed on the server display module 32, and the state information of each container and the safety margin information of stress and acceleration are clearly displayed, which is convenient for the captain to analyze and judge.

[0030] The navigation warning module 41 predicts the future container ship cargo response according to the preset route of this voyage, environmental information and ship navigation information, calculates the container cargo response under the corresponding conditions, and compares with the safety value provided by the analysis computer module 31. When the ship will produce a large amplitude roll response under the current navigation state and along the current route under the action of the future possible environmental load, resulting in stress and acceleration exceeding the safety value, the navigation warning module 41 will issue a warning to remind the captain to take measures such as reducing speed, adjusting the angle of attack or even adjusting the route to avoid possible container damage accidents. When the data collected by the bottom lock 11 with sensor, the twist lock 12 with sensor and the lashing rod 13 with sensor exceeds the safety value, the analysis computer module 31 will issue sound and light alarm signals through the emergency alarm unit 42. If there is a lashing failure leading to container damage risk, the navigation warning module 41 will issue a warning to the crew through the server display module 32 to remind the captain to adjust the route, reduce the speed or adjust the angle of attack to improve the safety of container ship cargo transportation.

[0031] The bottom lock 11 with sensors and the twist lock 12 with sensors, the bottom lock 11 with sensors is used for the fixation of the bottommost container to the ship body, and the twist lock 12 with sensors is used for the connection between containers. The bottom lock 11 with sensors includes a detachable power supply 112, a pressure sensor 113, a stress sensor 114 and a temperature sensor 115; the twist lock 12 with sensors includes a detachable power supply 122, a stress sensor 114, an acceleration sensor 124 and a temperature sensor 125. The bottom lock 11 with sensors can obtain the pressure of the container stack on the hatch cover, the stress when the container relative to the hatch cover generates a separation displacement, and the temperature of the contacted container corner; the twist lock 12 with sensors can obtain the stress, acceleration when the containers generate a separation displacement, and the temperature of the contacted container corner.

[0032] The flange 111 of the bottom lock 11 with sensors is expanded to one side of the container, the detachable power supply 112 is built in the flange 111, and the height does not exceed the surface of the flange, so as to avoid damage due to the up and down extrusion of the container; the pressure sensor 113 is arranged on the upper surface of the inner side of the flange 111, which is attached to the container corner, so as to obtain the weight information of the entire container stack; the stress sensor 114 is arranged in the middle of the cone of the flange 111, so as to obtain the stress of the twist lock during the voyage; the temperature sensor 115 is further arranged in the inner side of the flange 111, so as to obtain the temperature information of the contacted container. The bottom lock 11 with sensors collects the change of the weight of the container stack under the static environment by the pressure sensor 113, so as to judge the loading or lifting state of the container, and the principle is as shown in Figure 3

[0033] The flange 121 of the twist lock 12 with sensors is expanded to one side of the container, the detachable power supply 122 is built in the flange 121, and the height does not exceed the surface of the flange, so as to avoid damage due to the up and down extrusion of the container; the stress sensor 123 is arranged in the middle of the cone of the flange 121; the acceleration sensor 124 and the temperature sensor 125 are sequentially arranged in the inner part of the flange 121.

[0034] The signal collection module 21 is arranged on the hatch coaming below the first layer platform of each transverse bulkhead lashing bridge, which is used to receive the stress value, acceleration and temperature value measured by all twist locks at the corresponding position, does not affect the passage space and is easy to arrange the cable. The data generated by the bottom lock 11 with sensors, the twist lock 12 with sensors and the lashing rod 13 with sensors will be collected by the signal collection module 21 and transmitted to the analysis computer module 31.

[0035] ​Further, the detachable power supply 122 is built into the flange of the twist lock 12 with sensors, and the height direction will not exceed the thickness of the flange, so as to protect the battery from being damaged due to the up-and-down extrusion of the container; the stress sensor 123 is used for monitoring the pressure on the flange of the twist lock and the tension on the cone of the twist lock; the acceleration sensor 124 is used for monitoring the acceleration value of the container; and the temperature sensor 125 is used for monitoring the temperature of the adjacent container. The weight change of the upper container stack in the static state is collected by the bottom lock 11 with sensors to determine the loading and lifting of the container.

[0036] The binding rod 13 with sensors comprises a detachable power supply 131 and a stress sensor 132 located below the head.

[0037] The signal collection module 21 is arranged below the first layer platform of the binding bridge between containers, and is used for collecting the monitoring information of all the bottom locks 11 with sensors, twist locks 12 with sensors and binding rods 13 with sensors on the front and rear sides of the binding rod 13 with sensors, as shown in the figure. Usually, three to four signal collection modules 21 are arranged on a bridge to improve the collection efficiency and accuracy. Figure 4

[0038] The server display module 32 is further included, which is arranged in the bridge room of the ship and is used for displaying the real-time measurement data transmitted by the signal collection module 21, the historical data of the current voyage, and the calculation results, early warning information of the analysis computer.

[0039] The emergency alarm unit 42 is further included and is arranged in the bridge room. When the analysis computer judges that there is a risk of damaging the container or a risk of fire of the container at present or in the future, an alarm signal will be sent.

[0040] The present application provides an intelligent monitoring method for improving the safety of container ship cargo carrying, which comprises the following use steps:

[0041] Step one: during the loading and unloading process of the container, the number of stacked layers of the container is determined by collecting the pressure change of the bottom lock 11 with sensors; at the same time, the actual weight of each container and the accurate stacking weight distribution are obtained by collecting the total weight change;

[0042] Step two: the signal collection module 21 scans all the bottom locks 11 with sensors, twist locks 12 with sensors and binding rods 13 with sensors on the front and rear of the transverse bulkhead, and presents the cargo loading three-dimensional model on the server display module 32, and the stress, acceleration and temperature information will be displayed according to the actual stacking state;

[0043] ​Step three: During the voyage, the analysis computer module 31 obtains accurate loading conditions and lashing conditions according to the feedback information of the bottom lock 11, the twist lock 12 and the lashing bar 13 with sensors, and calculates the worst environmental conditions that the container can withstand in the lashing state, generates corresponding stress and acceleration values, and obtains the safety value of this voyage after considering the safety factor.

[0044] Step four: The analysis computer module 31 compares the collected data with the safety value in real time, and issues a warning in time when the real-time data exceeds the safety value; and issues a warning in time when the temperature of the container is abnormal.

[0045] Step five: The voyage warning module 41 judges the stress and acceleration values that the container ship cargo may generate according to the ship's voyage dynamics and the preset route, based on the forecasted environmental conditions in the future, and issues a warning in time and gives the captain a sailing suggestion when there is a risk of exceeding the safety value, so as to improve the safety of cargo transportation.

[0046] Further, the ship voyage state information in step four can be obtained by connecting the navigation information system to the intelligent monitoring system for improving the safety of container ship cargo transportation.

[0047] Further, the wind, wave and current real-time and forecast information of the target route in step five can be obtained through satellite communication system.

[0048] Finally, it should be pointed out that the above description is only the preferred embodiment of the present application and is not used to limit the present application, although the present application has been described in detail with reference to the foregoing embodiments, for those skilled in the art, the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced, any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent monitoring system for improving the safety of cargo carriage in a container ship, characterized by, The application relates to a container monitoring system, which comprises a bottom lock (11) with a sensor, a twist lock (12) with a sensor, a binding rod (13) with a sensor, a signal collection module (21), and an analysis computer module (31). The bottom lock (11) with a sensor is connected with a ship body and the lowest layer container, the twist lock (12) with a sensor is connected with adjacent containers, and the binding rod (13) with a sensor is connected with a binding bridge structure and a high layer container. The bottom lock (11) with a sensor, the twist lock (12) with a sensor and the binding rod (13) with a sensor further acquire corresponding position measurement data and transmit the data to the analysis computer module (31) through the signal collection module (21), and the data is displayed through a server display module (32). The bottom lock (11) with a sensor and the twist lock (12) with a sensor can acquire stress values between corresponding position containers, acceleration of the containers and temperature values of the position. The binding rod (13) with a sensor can acquire the force of the containers on the binding bridge structure in a rolling state. The bottom lock comprises a detachable power supply, a pressure sensor and a temperature sensor. The twist lock comprises a detachable power supply, a stress sensor, an acceleration sensor and a temperature sensor. The detachable power supply is arranged in a flange plate of the twist lock, and the height direction does not exceed the thickness of the flange. The stress sensor can monitor the pressure on the flange plate of the twist lock and the tension on the cone of the twist lock. The acceleration sensor can monitor the acceleration value of the container. The temperature sensor can monitor the temperature of the adjacent container.

2. The intelligent monitoring system for improving the safety of cargo carrying of a container ship according to claim 1, wherein The change of the weight of the upper container stack in a static environment can be collected by the bottom lock (11) with a sensor to judge the loading and lifting of the container.

3. The intelligent monitoring system for improving the safety of cargo carrying of a container ship according to claim 1, wherein The signal collection module (21) is arranged below a platform of a binding bridge of a transverse bulkhead between containers, does not affect the passage space and is easy to arrange cables. Three to four signal collection modules (21) are arranged on a bridge to improve the collection efficiency and accuracy.

4. The intelligent monitoring system for improving the safety of cargo carrying of a container ship according to claim 1, wherein The analysis computer module (31) establishes a three-dimensional visual model of container loading of the whole ship according to the actual container loading of the ship, and the bottom lock (11) with a sensor, the twist lock (12) with a sensor and the binding rod (13) with a sensor are visually embodied in the three-dimensional model of the container loading and the measurement data collected by the sensors are displayed.

5. The intelligent monitoring system for improving the safety of cargo carrying in a container ship according to claim 1, wherein, The analysis computer module (31) can calculate the most adverse environmental conditions that can be resisted by the container in a fixed state, and generate corresponding stress and acceleration values. After considering the safety factor, the values are taken as the safety values of the voyage.

6. The intelligent monitoring system for improving the safety of cargo carrying of a container ship according to claim 1, wherein When the stress and acceleration of the bottom lock (11) with a sensor, the twist lock (12) with a sensor or the binding rod (13) with a sensor exceed the safety values, the analysis computer will timely remind to take necessary actions to reduce the risk. According to the collected temperature information, the analysis computer module (31) generates a temperature field model of the containers of the whole ship, so that the containers with abnormally high temperature can be found in time, and necessary measures can be taken to reduce the risk of fire.

7. The intelligent monitoring system for improving the safety of cargo carrying of a container ship according to claim 1, wherein Also included is a voyage warning module (41) that, according to the real-time sailing dynamics of the ship, presets a route, combines the sea state information in the next few hours, calculates the corresponding container cargo response in the situation, and compares it with the safety value provided by the analysis computer module (31); when the ship, under the current sailing state, will produce a large roll response along the current route under the action of the future possible environmental load, leading to stress and acceleration exceeding the safety value, the voyage warning module (41) will issue a warning to remind the measures of reducing speed, adjusting the angle of attack, or even adjusting the route locally to avoid possible damage to the container.

8. The intelligent monitoring system for improving the safety of cargo carrying of a container ship according to claim 1, wherein, Also included is an emergency alarm unit (42) arranged in the bridge, which will issue an alarm signal when the analysis computer module (31) determines that there is a risk of damage to the container or a risk of fire in the container.

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