CN116189478A - Ship safety monitoring method, equipment and medium for inland waterway - Google Patents
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Abstract
The embodiment of the specification discloses a ship safety monitoring method, equipment and medium for a inland waterway, and relates to the technical field of computers, wherein the method comprises the following steps: acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in a inland waterway; determining a specified risk probability of at least one specified navigation risk corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, wherein the navigation risk comprises a collision risk, a yaw risk and a ship sinking risk; acquiring a preset result quantification weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantification weight; and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, and a medium for monitoring ship safety in a inland waterway.
Background
In recent years, with the rapid development of technologies such as artificial intelligence, big data, internet of things, cloud computing and the like, intelligent systems have been widely applied to the fields of transportation, aviation, production and transportation and the like. The intelligent ship with autonomous navigation capability has become the focus of attention by virtue of development advantages such as economy, high efficiency, energy conservation, environmental protection, safety, reliability and the like.
The safety problem of ship navigation is an important problem to be solved in the field of water traffic. With the continuous development of the water transportation industry, the density of the marine vessels is increased, and the navigation danger of water transportation is improved. The navigation state of the ship is greatly influenced by navigation environment and ship types, the navigation state of the ship is influenced by the navigation speed of the ship, and the navigation risks of different types of ships are different. Due to the particularity of the navigation position of the ship, the ship can travel in the inland waterway, and the safety hidden trouble exists. In the prior art, the speed and the like of the ship are monitored mainly through the automatic ship identification system, but various risks of the ship in the navigation process cannot be acquired, so that the monitoring effect cannot meet the navigation monitoring requirement.
Disclosure of Invention
One or more embodiments of the present disclosure provide a method, an apparatus, and a medium for monitoring ship safety in a inland waterway, for solving the following technical problems: in the prior art, the speed and the like of the ship are monitored mainly through the automatic ship identification system, but various risks of the ship in the navigation process cannot be acquired, so that the monitoring effect cannot meet the navigation monitoring requirement.
One or more embodiments of the present disclosure adopt the following technical solutions:
one or more embodiments of the present specification provide a ship safety monitoring method of a inland waterway, the method including: acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in a inland waterway; determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk; acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight; and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
Further, determining a specified risk probability of at least one specified navigation risk corresponding to the ship to be monitored based on the ship parameter of the ship to be monitored, the ship running parameter to be monitored and the adjacent ship running parameter, specifically includes: acquiring real-time meteorological data at the current moment in the inland waterway, and determining a sinking risk probability corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored and the real-time meteorological data; determining yaw risk probability corresponding to the ship to be monitored according to the ship parameters of the ship to be monitored and the real-time meteorological data; determining collision risk probability corresponding to the ship to be monitored according to the ship running parameters to be monitored and the adjacent ship running parameters; and generating a specified risk probability corresponding to the ship to be monitored through the sunken ship risk probability, the yaw risk probability and the collision risk probability.
Further, determining the collision risk probability corresponding to the ship to be monitored according to the ship running parameter to be monitored and the adjacent ship running parameter, specifically includes: determining the meeting distance between the adjacent ship and the ship to be monitored according to the current adjacent ship position in the adjacent ship running parameters and the current position in the ship running parameters to be monitored; determining the meeting time of the adjacent ship and the ship to be monitored according to the adjacent ship running speed and the meeting distance in the adjacent ship running parameters; acquiring a preset ship safety distance and ship steering time in the ship running parameters to be monitored; determining a distance risk factor based on the vessel safe distance and the encounter distance; determining an operation risk factor according to the ship steering time and the meeting time of the ship to be monitored; determining a single collision risk probability between the adjacent ship and the ship to be monitored through the distance risk factor and the operation risk factor; and generating collision risk probabilities corresponding to the vessels to be monitored according to the single collision risk probabilities between each adjacent vessel and the vessels to be monitored.
Further, determining the risk probability of sinking the ship corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored and the real-time meteorological data specifically includes: determining ship size, ship age and ship cargo data in the ship parameters, wherein the ship cargo data comprises cargo full rate; determining the empty tonnage of the ship to be monitored based on the ship size and the ship age; generating the actual cargo tonnage of the ship to be monitored according to the empty ship tonnage and the cargo full rate, so as to determine the corresponding cargo ship draft through the actual cargo tonnage; determining wind power data in the real-time meteorological data, and correcting the draft of the cargo ship through the wind power data to obtain the actual draft of the ship; and acquiring a preset safe sailing draft range, and determining the risk probability of sinking the ship corresponding to the ship to be monitored according to the safe sailing draft range and the actual ship draft.
Further, determining the yaw risk probability corresponding to the ship to be monitored according to the ship parameters of the ship to be monitored and the real-time meteorological data specifically includes: determining the ship size and the ship type in the ship parameters, and determining a first yaw probability corresponding to the ship to be monitored in a pre-constructed reference yaw probability table based on the ship size and the ship type, wherein the reference yaw probability table comprises a plurality of ships and reference yaw probabilities corresponding to each ship; determining wind data and visibility data in the real-time meteorological data; respectively determining a corresponding wind power correction factor and a visibility correction factor according to the wind power data and the visibility data; and determining yaw risk probability corresponding to the ship to be monitored through the first yaw probability, the wind power correction factor and the visibility correction factor.
Further, determining the risk level of the ship to be monitored based on the specified risk probability and the result quantification weight specifically includes: acquiring a sunken ship result quantization weight corresponding to the sunken ship risk, and acquiring a yawing result quantization weight corresponding to the yawing risk and a collision result quantization weight corresponding to the collision risk; generating a sunken ship grade index through the sunken ship result quantization weight and the sunken ship risk probability; generating a yaw grade index through the yaw outcome quantization weight and the yaw risk probability; generating a collision grade index through the collision result quantization weight and the collision risk probability; determining a risk level summarizing index of the ship to be monitored according to the sunken ship level index, the yaw level index and the collision level index; and determining the risk level of the ship to be monitored based on the risk level summarizing index.
Further, before obtaining the preset result quantization weight corresponding to the specified navigation risk, the method further includes: acquiring historical sailing data of the ship to be monitored, wherein the historical sailing data comprise a plurality of historical sailing risks and influence results corresponding to each historical sailing risk; quantifying the influence results corresponding to each historical navigation risk to obtain a historical result quantification weight corresponding to each historical navigation risk; acquiring a plurality of identical navigation risks in a plurality of historical navigation risks and historical result quantification weights corresponding to each identical navigation risk; and generating the result quantized weights corresponding to the same navigation risk based on the plurality of historical result quantized weights, and establishing a weight parameter lookup table according to the result quantized weights corresponding to the same navigation risk and the risk types corresponding to the same navigation risk.
Further, according to the risk level of the ship to be monitored, determining a standard navigation parameter corresponding to the risk level specifically includes: determining a current sailing strategy of the ship to be monitored according to the risk level of the ship to be monitored, wherein the current sailing strategy comprises any one of a continuous sailing strategy, an avoidance strategy, a berthing strategy and an emergency treatment strategy; determining standard sailing parameters of the ship to be monitored based on the current sailing strategy, wherein the standard sailing parameters comprise: speed of travel, direction of travel, and rudder operation.
One or more embodiments of the present specification provide a ship safety monitoring apparatus of a inland waterway, including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in a inland waterway; determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk; acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight; and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
One or more embodiments of the present specification provide a non-volatile computer storage medium storing computer-executable instructions configured to:
acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in a inland waterway; determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk; acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight; and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
The above-mentioned at least one technical scheme that this description embodiment adopted can reach following beneficial effect: through the technical scheme, the specified risk probability of at least one specified navigation risk corresponding to the ship to be monitored is determined through the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, the collision risk, the yaw risk and the ship sinking risk are considered, the effect of comprehensively monitoring various risks is achieved, in addition, the risk probability and the influence result are combined to generate a risk grade, the navigation parameters are determined according to the risk grade, the effect of quantifying the risk is achieved, the accuracy and pertinence of risk judgment are better achieved, the navigation monitoring requirement is met, and the safety monitoring in the ship navigation process is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some of the embodiments described in the present description, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:
fig. 1 is a schematic flow chart of a ship safety monitoring method for a inland waterway according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a ship safety monitoring device for a inland waterway according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present disclosure.
In recent years, with the rapid development of technologies such as artificial intelligence, big data, internet of things, cloud computing and the like, intelligent systems have been widely applied to the fields of transportation, aviation, production and transportation and the like. The intelligent ship with autonomous navigation capability has become the focus of attention by virtue of development advantages such as economy, high efficiency, energy conservation, environmental protection, safety, reliability and the like.
The safety problem of ship navigation is an important problem to be solved in the field of water traffic. With the continuous development of the water transportation industry, the density of the marine vessels is increased, and the navigation danger of water transportation is improved. The navigation state of the ship is greatly influenced by navigation environment and ship types, the navigation state of the ship is influenced by the navigation speed of the ship, and the navigation risks of different types of ships are different. Due to the particularity of the navigation position of the ship, the ship can travel in the inland waterway, and the safety hidden trouble exists. In the prior art, the speed and the like of the ship are monitored mainly through the automatic ship identification system, but various risks of the ship in the navigation process cannot be acquired, so that the monitoring effect cannot meet the navigation monitoring requirement.
The embodiment of the present disclosure provides a method for monitoring ship safety in a inland waterway, and it should be noted that an execution subject in the embodiment of the present disclosure may be a server, or may be any device having data processing capability. Fig. 1 is a schematic flow chart of a ship safety monitoring method for a inland waterway according to an embodiment of the present disclosure, as shown in fig. 1, mainly including the following steps:
Step S101, obtaining a ship parameter of a ship to be monitored traveling on a inland waterway, a ship traveling parameter to be monitored, and adjacent ship traveling parameters of a plurality of adjacent ships in the inland waterway.
In one embodiment of the present description, a vessel parameter of a vessel to be monitored traveling on a inland waterway, a vessel traveling parameter to be monitored, and adjacent vessel traveling parameters of a plurality of adjacent vessels within the inland waterway are obtained by a vessel automatic identification system (Automatic Identification System, AIS system). It should be noted that, the ship parameters herein include a ship size, a ship type, a ship age, and ship cargo data, and the ship cargo data may be a current cargo loading rate of the current ship; the ship running parameters to be monitored comprise the current position of the ship to be monitored at the current moment and the ship steering time of the ship to be monitored, and can also comprise the ship running speed; in addition, in addition to the vessels to be monitored, a plurality of adjacent vessels exist in the inland waterway, and the adjacent vessel running parameters are acquired through the AIS system, wherein the adjacent vessel running parameters comprise the adjacent vessel running speed and the current adjacent vessel position.
Step S102, determining a specified risk probability of at least one specified navigation risk corresponding to the ship to be monitored based on the ship parameter of the ship to be monitored, the ship running parameter to be monitored and the adjacent ship running parameter.
Wherein the navigation risk includes collision risk, yaw risk and sunken ship risk.
Based on the ship parameter of the ship to be monitored, the ship running parameter to be monitored and the adjacent ship running parameter, determining a specified risk probability of at least one specified navigation risk corresponding to the ship to be monitored, specifically including: acquiring real-time meteorological data at the current moment in the inland waterway; determining a ship sinking risk probability corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored and the real-time meteorological data; determining yaw risk probability corresponding to the ship to be monitored according to the ship parameters of the ship to be monitored and the real-time meteorological data; determining collision risk probability corresponding to the ship to be monitored according to the ship running parameters to be monitored and the adjacent ship running parameters; and generating a specified risk probability corresponding to the ship to be monitored through the sunken ship risk probability, the yaw risk probability and the collision risk probability.
In one embodiment of the present description, the sailing state of the vessel is different under different meteorological conditions. In order to obtain a more accurate risk of the ship, real-time weather conditions need to be considered, and thus, real-time weather data, such as wind data, visibility data, etc., at the current moment in the inland waterway are obtained. And determining the risk probability of sinking and the risk probability of yawing corresponding to the ship to be monitored through the ship parameters and the real-time meteorological data of the ship to be monitored. And determining the collision risk probability corresponding to the ship to be monitored through the ship running parameters to be monitored and the adjacent ship running parameters. And taking the sunken ship risk probability, the yaw risk probability and the collision risk probability as the designated risk probabilities corresponding to the ship to be monitored.
Determining the collision risk probability corresponding to the ship to be monitored according to the ship running parameter to be monitored and the adjacent ship running parameter, wherein the method specifically comprises the following steps: determining the meeting distance between the adjacent ship and the ship to be monitored according to the current adjacent ship position in the adjacent ship running parameters and the current position in the ship running parameters to be monitored; determining the meeting time of the adjacent ship and the ship to be monitored according to the running speed of the adjacent ship and the meeting distance in the running parameters of the adjacent ship; acquiring a preset ship safety distance and ship steering time in the ship running parameters to be monitored; determining a distance risk factor based on the vessel safe distance and the encounter distance; determining an operation risk factor according to the ship steering time and the meeting time of the ship to be monitored; determining a single collision risk probability between the adjacent ship and the ship to be monitored through the distance risk factor and the operation risk factor; and generating collision risk probabilities corresponding to the vessels to be monitored according to the single collision risk probability between each adjacent vessel and the vessels to be monitored.
In one embodiment of the present specification, the meeting distance between the adjacent vessel and the vessel to be monitored is calculated from the current adjacent vessel position in the adjacent vessel travel parameter and the current position in the vessel to be monitored travel parameter, where the meeting distance is the nearest straight line distance between vessels. And determining the meeting time of the adjacent ship and the ship to be monitored according to the ratio of the meeting distance to the running speed of the adjacent ship in the running parameters of the adjacent ship. In the actual ship navigation process, the ship safety distance exists between adjacent ships, the ship safety distance is the minimum value of the safety distance, the minimum value can be obtained through historical actual data analysis, and the distance risk factor is obtained according to the ratio of the meeting distance to the ship safety distance. In addition, when the ship steering of the ship is operated, the operation time is needed, the ship steering time of the ship to be monitored can be obtained through the history data of the ship, and the operation risk factor is determined through the ratio of the meeting time to the ship steering time of the ship to be monitored. And taking the sum of the distance risk factor and the operation risk factor as a single collision risk probability between the adjacent ship and the ship to be monitored. According to the method, single collision risk probabilities between each adjacent ship and the ship to be monitored are calculated, and the collision risk probabilities corresponding to the ship to be monitored are obtained by summing the single collision risk probabilities.
Based on the ship parameters of the ship to be monitored and the real-time meteorological data, determining the risk probability of sinking the ship corresponding to the ship to be monitored specifically comprises the following steps: determining ship size, ship age and ship cargo data in the ship parameters, wherein the ship cargo data comprises cargo full rate; determining the empty tonnage of the ship to be monitored based on the ship size and the ship age; generating the actual cargo tonnage of the ship to be monitored according to the empty ship tonnage and the cargo full rate, so as to determine the corresponding cargo ship draft through the actual cargo tonnage; determining wind power data in the real-time meteorological data, and correcting the draft of the cargo ship through the wind power data to obtain the actual draft of the ship; and acquiring a preset safe sailing draft range, and determining the risk probability of sinking the ship corresponding to the ship to be monitored according to the safe sailing draft range and the actual ship draft.
In one embodiment of the present disclosure, different types of vessels and vessels carrying different cargo may have different risk of sinking while sailing, and thus, the vessel size, the vessel age, and the cargo loading rate in the vessel cargo data in the vessel parameters are obtained, and the risk probability of sinking is determined according to the vessel parameters and the real-time weather data. The corresponding draft of the ships of different sizes is different, and as the service life increases, the longer the ship age, the greater the risk of sinking the ship. Thus, first, the empty tonnage of the ship to be monitored is determined based on the ship size and the ship age, where the ship age and the empty tonnage are positively correlated. And generating the actual cargo tonnage of the ship to be monitored according to the empty ship tonnage and the cargo full rate so as to determine the draft of the corresponding cargo ship according to the actual cargo tonnage. Secondly, determining wind power data in real-time meteorological data in consideration of influence of meteorological conditions on ship navigation, and correcting draft of the cargo ship through the wind power data to obtain actual draft of the ship, for example, if wind power is larger and corresponding draft is deeper, draft correction value is required to be added on the basis of draft of the cargo ship; and acquiring a preset safe sailing draft range, and determining the risk probability of sinking the ship corresponding to the ship to be monitored according to the safe sailing draft range and the actual ship draft. For example, the safe voyage draft range may be equally divided into two interval ranges, a first interval range and a second interval range, wherein the values in the first interval range are larger than the values in the second interval range, the risk of sinking is not smaller than 0.75 when the actual voyage draft is higher than any one of the depth values in the first interval range, the risk of sinking is larger than 0.5 and smaller than 0.75 when the actual voyage draft belongs to the first interval range, the risk of sinking is larger than 0.25 and not smaller than 0.5 when the actual voyage draft belongs to the second interval range, and the risk of sinking is not smaller than 0.25 when the actual voyage draft is smaller than any one of the depth values in the second interval range.
According to the ship parameters of the ship to be monitored and the real-time meteorological data, determining the yaw risk probability corresponding to the ship to be monitored specifically comprises the following steps: determining the ship size and the ship type in the ship parameters, and determining a first yaw probability corresponding to the ship to be monitored in a pre-constructed reference yaw probability table based on the ship size and the ship type, wherein the reference yaw probability table comprises a plurality of ships and reference yaw probabilities corresponding to each ship; determining wind data and visibility data in the real-time weather data; respectively determining a corresponding wind power correction factor and a visibility correction factor according to the wind power data and the visibility data; and determining the yaw risk probability corresponding to the ship to be monitored through the first yaw probability, the wind power correction factor and the visibility correction factor.
In one embodiment of the present specification, the reference yaw probability exists during the actual sailing of the ship, that is, the average yaw probability when the ship sails without the influence of external factors, and the reference yaw probability is related to the ship size and the ship type, so that the reference yaw probability table may be constructed in advance for storing the different types of different sizes of the ship and the reference yaw probabilities corresponding to each of the ships. The method comprises the steps of determining the ship size and the ship type in ship parameters of the ship to be monitored, and determining a first yaw probability corresponding to the ship to be monitored in a reference yaw probability table based on the ship size and the ship type. Determining wind data and visibility data in the real-time meteorological data; according to wind data, determining a corresponding wind power correction factor, wherein the wind power correction factor can be obtained through sum operation of wind speed and specified values, the specified data can be 1, the wind speed is the typhus wind level, the ratio of the typhus wind level to ten is calculated before the sum operation, and the ratio is converted into a specified format and then is added with the 1 to obtain the wind power correction factor. And determining a corresponding visibility correction factor according to the visibility data. For example, the reciprocal of the visibility is calculated, and the reciprocal is added to 1 to obtain the visibility correction factor. And determining the yaw risk probability corresponding to the ship to be monitored through the product of the first yaw probability, the wind power correction factor and the visibility correction factor.
Step S103, obtaining a preset result quantification weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantification weight.
Before obtaining the preset result quantization weight corresponding to the specified navigation risk, the method further comprises the following steps: acquiring historical sailing data of the ship to be monitored, wherein the historical sailing data comprise a plurality of historical sailing risks and influence consequences corresponding to each historical sailing risk; carrying out quantization processing on the influence results corresponding to each historical navigation risk to obtain a historical result quantization weight corresponding to each historical navigation risk; acquiring a plurality of identical navigation risks in a plurality of historical navigation risks and historical result quantification weights corresponding to each identical navigation risk; and generating result quantized weights corresponding to the same navigation risk based on the plurality of historical result quantized weights, and establishing a weight parameter lookup table according to the result quantized weights corresponding to the same navigation risk and the risk types corresponding to the same navigation risk.
In one embodiment of the present disclosure, there is a difference in the impact results corresponding to each navigation risk, and in order to quantify the impact results of each navigation risk, the effect quantification weight may be implemented. And acquiring historical sailing data of the ship to be monitored, wherein the historical sailing data comprise a plurality of historical sailing risks and influence results corresponding to each historical sailing risk. And carrying out quantization processing on the influence results corresponding to each historical navigation risk to obtain the historical result quantization weight corresponding to each historical navigation risk. For example, the severity of the impact outcome may be categorized into three levels, low, medium and high, with weights set to 0, 0.5 and 1, respectively. Classifying the historical navigation risks belonging to the same navigation risk type except to obtain a plurality of same navigation risks, and acquiring historical result quantification weights corresponding to the same navigation risks. And generating a result quantization weight corresponding to the same navigation risk according to the average value of the historical result quantization weights, and establishing a weight parameter lookup table according to the result quantization weight corresponding to the same navigation risk and the risk type corresponding to the same navigation risk so as to acquire the result quantization weight corresponding to the specified navigation risk.
Based on the specified risk probability and the result quantification weight, determining the risk level of the ship to be monitored specifically comprises: acquiring a sunken ship result quantization weight corresponding to the sunken ship risk, and acquiring a yawing result quantization weight corresponding to the yawing risk and a collision result quantization weight corresponding to the collision risk; generating a sunken ship grade index through the sunken ship result quantitative weight and the sunken ship risk probability; generating a yaw grade index through the yaw consequence quantization weight and the yaw risk probability; generating a collision grade index through the collision result quantization weight and the collision risk probability; determining a risk level summarizing index of the ship to be monitored according to the sunken ship level index, the yaw level index and the collision level index; and determining the risk level of the ship to be monitored based on the risk level summarizing index.
In one embodiment of the present specification, combining the impact of risk with the likelihood of occurrence is the severity of the risk, from which the risk level is determined. Obtaining a sunken ship result quantification weight corresponding to the sunken ship risk, a yawing result quantification weight corresponding to the yawing risk and a collision result quantification weight corresponding to the collision risk. Taking the product of the sunken ship result quantization weight and the sunken ship risk probability as a sunken ship grade index; taking the product of the yaw result quantization weight and the yaw risk probability as a yaw grade index; and taking the product of the collision result quantization weight and the collision risk probability as a collision grade index. And determining a risk level summarizing index of the ship to be monitored according to the sum operation of the sunken ship level index, the yaw level index and the collision level index. The risk level of the ship to be monitored is determined through the risk level summarizing index, the risk level can be set according to requirements, the risk level summarizing index and the risk level are positively correlated, and the greater the risk level is, the higher the navigation risk of the ship is.
And step S104, determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and realizing the safety monitoring of the ship to be monitored.
According to the risk level of the ship to be monitored, determining standard navigation parameters corresponding to the risk level specifically comprises: determining a current sailing strategy of the ship to be monitored according to the risk level of the ship to be monitored, wherein the current sailing strategy comprises any one of a continuous sailing strategy, an avoidance strategy, a berthing strategy and an emergency treatment strategy; determining standard sailing parameters of the ship to be monitored based on the current sailing strategy, wherein the standard sailing parameters comprise: speed of travel, direction of travel, and rudder operation.
In one embodiment of the present specification, a current voyage strategy of the ship to be monitored is determined according to a risk level of the ship to be monitored, and the current voyage strategy includes any one of a continued voyage strategy, an avoidance strategy, a berthing strategy, and an emergency treatment strategy. Based on the current sailing strategy, the sailing speed, the sailing direction and the rudder operation of the ship to be monitored are determined, so that the ship to be monitored runs according to the standard sailing parameters, and the safety monitoring of the ship to be monitored is realized.
Through the technical scheme, the specified risk probability of at least one specified navigation risk corresponding to the ship to be monitored is determined through the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, the collision risk, the yaw risk and the ship sinking risk are considered, the effect of comprehensively monitoring various risks is achieved, in addition, the risk probability and the influence result are combined to generate a risk grade, the navigation parameters are determined according to the risk grade, the effect of quantifying the risk is achieved, the accuracy and pertinence of risk judgment are better achieved, the navigation monitoring requirement is met, and the safety monitoring in the ship navigation process is achieved.
The embodiment of the specification also provides a inland waterway monitoring system, and the inland waterway monitoring system is relied on to realize real-time monitoring of the construction, maintenance and operation safety conditions of the inland waterway in the whole province. The channel operation safety monitoring is a visualization of the channel's perception system, the data support of business decisions, and maintenance execution. The channel monitoring comprises static data such as the specification and the scale of the channel, coordinates and the like, and dynamic data such as construction progress, maintenance state, current water transportation state and the like. The inland waterway monitoring system realizes the visualization of monitoring through a waterway 'one-map' mode. The channel 'one map' gathers static and dynamic data of the channel and provides corresponding visualization of the data and geographic coordinates; summarizing the topics of the large screen of the channel to display the data and the trend of the aspects of the digital channel; the channel focuses on displaying key data of key projects, water areas and facilities provided by the sensing end; channel early warning is carried out, and after the channel early warning is calculated through a mechanism model and an intelligent model, early warning information is intelligently pushed based on data provided by a sensing end and aided with expert knowledge and industry experience. The berthing anchor places are marked on the electronic map, the system monitors the real-time ship quantity of the berthing anchor places, and the system intelligently reminds or early warns and prompts related personnel to pay attention to according to the design capacity of the ship anchor places and expert experience.
The system monitors the current number of the ships in the channel, the distance between the ships and other data, and calculates the running and congestion index of the water transportation of the channel in real time according to the historical data. When the index reaches a certain value, the important attention or early warning is put into. In addition, the ship passing speed of the ship lock is monitored, and the ship passing time and the ship number at the anchoring site are calculated in a combined mode, so that the ship lock is predicted, and the ship lock is blocked. Prompting the manager to pay attention to or early warn.
The key engineering monitoring mainly monitors the progress of engineering through two approaches: video access; and (6) project progress entry. And early warning is carried out on the project with delayed engineering progress. AIS ship monitoring, namely monitoring the whole course of a ship entering a inland river, wherein the monitoring comprises sailing distance, whether the ship deviates from a channel (a channel of a Beijing Hangzhou canal), sailing speed, AIS closing duration and the like. And collecting weather forecast and hydrological data in real time, and paying attention to or early warning on related channels and ship locks in time. And collecting all online intelligent navigation mark coordinate points in real time, and comparing the initial geographic coordinate points, and carrying out early warning or alarming when the deviation is larger than a critical value set by an administrator. May be presented on a "map" or a list of tracks. And if the position deviation occurs at the same time for the navigation mark with a relatively close distance, the navigation mark directly alarms, and abnormal weather or scratch of a large ship is predicted.
Accessing ship lock monitoring data, including real-time data of an automatic control system, a power system, a hoist and the like; in addition, the method comprises periodic check records, 7-8 years fixed overhaul records and the like. Video monitoring, collision monitoring, ship boundary crossing monitoring and the like can be accessed in the future. And carrying out logic monitoring on the real-time data and the maintenance record, and timely reminding and alarming when abnormality is found.
The digitization and the intelligent management of the channel space region, the management object and the management activity are realized by comprehensively utilizing the modern information technology, collecting, integrating and applying the channel related information resources, and the digitization and the intelligent of the channel business process, the channel dynamic monitoring and the auxiliary decision making are realized. The intelligent navigation system provides rich and timely channel information service and coordinated linkage support for water transportation places, inland centers and crews, and realizes channel planning scientization, construction and maintenance intellectualization and management modernization through fusion processing and deep excavation of channel information, thereby providing convenient intelligent navigation service for water transportation.
The embodiment of the present disclosure further provides a ship safety monitoring device for a inland waterway, as shown in fig. 2, the device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to:
Acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in the inland waterway; determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameter of the ship to be monitored, the ship running parameter to be monitored and the adjacent ship running parameter, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk; acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight; and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
The present specification embodiments also provide a non-volatile computer storage medium storing computer-executable instructions configured to:
acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in the inland waterway; determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameter of the ship to be monitored, the ship running parameter to be monitored and the adjacent ship running parameter, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk; acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight; and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for apparatus, devices, non-volatile computer storage medium embodiments, the description is relatively simple, as it is substantially similar to method embodiments, with reference to the section of the method embodiments being relevant.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
The devices and media provided in the embodiments of the present disclosure are in one-to-one correspondence with the methods, so that the devices and media also have similar beneficial technical effects as the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media are not repeated here.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The present description is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the specification. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing is merely one or more embodiments of the present description and is not intended to limit the present description. Various modifications and alterations to one or more embodiments of this description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, or the like, which is within the spirit and principles of one or more embodiments of the present description, is intended to be included within the scope of the claims of the present description.
Claims (10)
1. A method of monitoring the safety of a ship in a inland waterway, the method comprising:
acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in a inland waterway;
determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk;
acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight;
And determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
2. The method for monitoring the ship safety of the inland waterway according to claim 1, wherein determining the specified risk probability of at least one specified navigation risk corresponding to the ship to be monitored based on the ship parameter of the ship to be monitored, the ship running parameter to be monitored and the adjacent ship running parameter specifically comprises:
acquiring real-time meteorological data at the current moment in the inland waterway;
determining the risk probability of sinking the ship corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored and the real-time meteorological data;
determining yaw risk probability corresponding to the ship to be monitored according to the ship parameters of the ship to be monitored and the real-time meteorological data;
determining collision risk probability corresponding to the ship to be monitored according to the ship running parameters to be monitored and the adjacent ship running parameters;
and generating a specified risk probability corresponding to the ship to be monitored through the sunken ship risk probability, the yaw risk probability and the collision risk probability.
3. The method for monitoring the ship safety of the inland waterway according to claim 2, wherein determining the collision risk probability corresponding to the ship to be monitored according to the ship running parameter to be monitored and the adjacent ship running parameter comprises the following steps:
determining the meeting distance between the adjacent ship and the ship to be monitored according to the current adjacent ship position in the adjacent ship running parameters and the current position in the ship running parameters to be monitored;
determining the meeting time of the adjacent ship and the ship to be monitored according to the adjacent ship running speed and the meeting distance in the adjacent ship running parameters;
acquiring a preset ship safety distance and ship steering time in the ship running parameters to be monitored;
determining a distance risk factor based on the vessel safe distance and the encounter distance;
determining an operation risk factor according to the ship steering time and the meeting time of the ship to be monitored;
determining a single collision risk probability between the adjacent ship and the ship to be monitored through the distance risk factor and the operation risk factor;
And generating collision risk probabilities corresponding to the vessels to be monitored according to the single collision risk probabilities between each adjacent vessel and the vessels to be monitored.
4. The method for monitoring the ship safety of the inland waterway according to claim 2, wherein the determining the ship sinking risk probability corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored and the real-time meteorological data comprises the following steps:
determining ship size, ship age and ship cargo data in the ship parameters, wherein the ship cargo data comprises cargo full rate;
determining the empty tonnage of the ship to be monitored based on the ship size and the ship age;
generating the actual cargo tonnage of the ship to be monitored according to the empty ship tonnage and the cargo full rate, so as to determine the corresponding cargo ship draft through the actual cargo tonnage;
determining wind power data in the real-time meteorological data, and correcting the draft of the cargo ship through the wind power data to obtain the actual draft of the ship;
and acquiring a preset safe sailing draft range, and determining the risk probability of sinking the ship corresponding to the ship to be monitored according to the safe sailing draft range and the actual ship draft.
5. The method for monitoring the ship safety of the inland waterway according to claim 2, wherein determining the yaw risk probability corresponding to the ship to be monitored according to the ship parameters of the ship to be monitored and the real-time meteorological data comprises the following steps:
determining the ship size and the ship type in the ship parameters, and determining a first yaw probability corresponding to the ship to be monitored in a pre-constructed reference yaw probability table based on the ship size and the ship type, wherein the reference yaw probability table comprises a plurality of ships and reference yaw probabilities corresponding to each ship;
determining wind data and visibility data in the real-time meteorological data;
respectively determining a corresponding wind power correction factor and a visibility correction factor according to the wind power data and the visibility data;
and determining yaw risk probability corresponding to the ship to be monitored through the first yaw probability, the wind power correction factor and the visibility correction factor.
6. The method for monitoring the ship safety of the inland waterway according to claim 2, wherein the determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight comprises the following steps:
Acquiring a sunken ship result quantization weight corresponding to the sunken ship risk, and acquiring a yawing result quantization weight corresponding to the yawing risk and a collision result quantization weight corresponding to the collision risk;
generating a sunken ship grade index through the sunken ship result quantization weight and the sunken ship risk probability;
generating a yaw grade index through the yaw outcome quantization weight and the yaw risk probability;
generating a collision grade index through the collision result quantization weight and the collision risk probability;
determining a risk level summarizing index of the ship to be monitored according to the sunken ship level index, the yaw level index and the collision level index;
and determining the risk level of the ship to be monitored based on the risk level summarizing index.
7. The method for monitoring the safety of a ship in a inland waterway according to claim 1, wherein before obtaining the preset result quantization weight corresponding to the specified navigation risk, the method further comprises:
acquiring historical sailing data of the ship to be monitored, wherein the historical sailing data comprise a plurality of historical sailing risks and influence results corresponding to each historical sailing risk;
Quantifying the influence results corresponding to each historical navigation risk to obtain a historical result quantification weight corresponding to each historical navigation risk;
acquiring a plurality of identical navigation risks in a plurality of historical navigation risks and historical result quantification weights corresponding to each identical navigation risk;
and generating the result quantized weights corresponding to the same navigation risk based on the plurality of historical result quantized weights, and establishing a weight parameter lookup table according to the result quantized weights corresponding to the same navigation risk and the risk types corresponding to the same navigation risk.
8. The ship safety monitoring method of a inland waterway according to claim 1, wherein determining standard navigation parameters corresponding to risk levels according to the risk levels of the ship to be monitored comprises:
determining a current sailing strategy of the ship to be monitored according to the risk level of the ship to be monitored, wherein the current sailing strategy comprises any one of a continuous sailing strategy, an avoidance strategy, a berthing strategy and an emergency treatment strategy;
determining standard sailing parameters of the ship to be monitored based on the current sailing strategy, wherein the standard sailing parameters comprise: speed of travel, direction of travel, and rudder operation.
9. A ship safety monitoring device for a inland waterway, the device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in a inland waterway;
determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk;
acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight;
and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
10. A non-transitory computer storage medium storing computer-executable instructions, the computer-executable instructions configured to:
acquiring ship parameters of a ship to be monitored, ship running parameters to be monitored and adjacent ship running parameters of a plurality of adjacent ships in a inland waterway;
determining a specified risk probability of at least one specified sailing risk corresponding to the ship to be monitored based on the ship parameters of the ship to be monitored, the ship running parameters to be monitored and the adjacent ship running parameters, wherein the sailing risk comprises a collision risk, a yaw risk and a ship sinking risk;
acquiring a preset result quantization weight corresponding to the specified navigation risk, and determining the risk level of the ship to be monitored based on the specified risk probability and the result quantization weight;
and determining a standard navigation parameter corresponding to the risk level according to the risk level of the ship to be monitored, so that the ship to be monitored runs according to the standard navigation parameter, and safety monitoring of the ship to be monitored is realized.
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| CN117570997A (en) * | 2024-01-15 | 2024-02-20 | 亿海蓝（北京）数据技术股份公司 | Ship abnormal behavior detection method and device, electronic equipment and storage medium |
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| CN117570997A (en) * | 2024-01-15 | 2024-02-20 | 亿海蓝（北京）数据技术股份公司 | Ship abnormal behavior detection method and device, electronic equipment and storage medium |
| CN117570997B (en) * | 2024-01-15 | 2024-03-29 | 亿海蓝（北京）数据技术股份公司 | Ship abnormal behavior detection method and device, electronic equipment and storage medium |
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