A waterway traffic monitoring system

Abstract

The present invention relates to the field of waterway monitoring technology, and in particular to a waterway traffic monitoring system, the system comprising an information acquisition module for acquiring ship information, waterway information, tidal information and meteorological information in the waiting area; a level classification module for classifying ship traffic pressure levels; a meteorological monitoring module for analyzing the abnormality of the waterway meteorological environment during the monitoring period; a judgment module for judging the ship's driving mode and adjusting the judgment process of the driving mode; a scheduling module for analyzing the number of ships passing during the monitoring period, and scheduling the ship according to the judgment results of the ship length, ship type, ship driving mode and the analysis results of the number of ships passing; and an optimization module for optimizing the analysis process of the number of ships passing during the monitoring period. The present invention improves the scheduling efficiency of ships and improves the safety of ship traffic.

Description

Technical Field

[0001] The present invention relates to the technical field of waterway monitoring, and in particular to a waterway passage monitoring system. Background Art

[0002] With the continuous increase in water transportation volume, waterway management faces many challenges, including but not limited to waterway congestion, difficulties in ship safety supervision, and the impact of environmental factors, making it difficult to meet the needs of efficient and precise management.

[0003] Chinese patent publication number CN117037547A discloses a method, system and storage medium for evaluating the congestion degree of key nodes of a waterway, which belongs to the field of waterway monitoring technology, including: obtaining the waterway characteristics and historical navigation conditions of the target waterway, evaluating the waterway passing force and selecting the key points of the waterway; obtaining the ship perception information in the waterway key point area, identifying the navigation behavior of the ship, setting the ship's label information based on the navigation behavior, and judging the ship's passage time at the waterway key point; evaluating the current congestion degree of the waterway key point; using a graph convolutional neural network to represent the waterway key point, dynamically predicting the current congestion degree of the waterway key point, obtaining the predicted congestion degree of the target waterway key point, and optimizing the ship scheduling of the target key point based on the predicted congestion degree. This method judges the congestion state of the waterway through the navigation behavior of the ship, combines the waterway association, dynamically analyzes the traffic flow of the waterway network, realizes the rapid and accurate prediction of the waterway traffic state, and effectively regulates the ship; it can be seen that when scheduling the ship, the scheme only analyzes the congestion degree, and there is a problem of low scheduling efficiency of the ship. Summary of the invention

[0004] To this end, the present invention provides a waterway traffic monitoring system to overcome the problem of low scheduling efficiency of ships in the prior art.

[0005] To achieve the above object, the present invention provides a waterway traffic monitoring system, the system comprising:

[0006] Information acquisition module, used to obtain ship information, channel information, tidal information and meteorological information in the waiting area;

[0007] The level classification module is used to classify the ship traffic pressure level according to the number of ships in the waiting area during the monitoring period;

[0008] A meteorological monitoring module is used to analyze the abnormality of the wind speed and visibility of the channel during the monitoring period according to the acquired wind speed and visibility of the channel during the monitoring period, and is also used to analyze the abnormality of the meteorological environment of the channel during the monitoring period according to the analysis results of the abnormality of the wind speed and visibility of the channel during the monitoring period;

[0009] A judgment module, used to judge the ship's driving mode according to the channel water level and the ship's draft depth obtained during the monitoring period, and to adjust the judgment process of the driving mode according to the channel water flow rate obtained during the monitoring period;

[0010] The scheduling module is used to analyze the number of ships passing during the monitoring period according to the classification results of the ship traffic pressure levels during the monitoring period and the analysis results of the channel meteorological anomalies, and to schedule ships based on the judgment results of ship length, ship type, ship driving mode and the analysis results of the number of ship passages.

[0011] Furthermore, the level classification module compares the number of ships a0 in the waiting area during the monitoring period with each preset number, and classifies the ship traffic pressure level according to the comparison result, wherein:

[0012] When a0<a1, the level classification module determines that the ship traffic pressure level is a low level;

[0013] When a1≤a0≤a2, the level classification module determines that the ship traffic pressure level is medium;

[0014] When a0>a2, the level classification module determines that the ship traffic pressure level is a high level;

[0015] Wherein, a1 is the first preset number, and a2 is the second preset number.

[0016] Furthermore, the meteorological monitoring module is provided with a meteorological analysis unit and an abnormality analysis unit, and the meteorological analysis unit is used to compare the channel wind speed v0 obtained within the monitoring period with the preset wind speed v1, and analyze the abnormality of the channel wind speed according to the comparison result, wherein:

[0017] When v0≤v1, the meteorological analysis unit determines that the wind speed of the channel within the monitoring period is normal;

[0018] When v0>v1, the meteorological analysis unit determines that the wind speed of the channel within the monitoring period is abnormal, and sets the abnormal index of the wind speed of the channel to Fv, setting Fv=(v0-v1) / (v1+v0);

[0019] The meteorological analysis unit compares the channel visibility n0 obtained during the monitoring period with the preset visibility n1, and analyzes the abnormality of the channel visibility according to the comparison result, wherein:

[0020] When n0≤n1, the meteorological analysis unit determines that the waterway visibility is abnormal during the monitoring period, and sets the abnormal index of the waterway visibility to Dn, setting Dn=(n1-n0) / n1;

[0021] When n0>n1, the meteorological analysis unit determines that the channel visibility within the monitoring period is normal.

[0022] Further, the abnormality analysis unit is used to analyze the abnormality of the channel meteorological environment during the monitoring period according to the analysis results of the channel wind speed abnormality and the channel visibility abnormality during the monitoring period, wherein:

[0023] When sin[Fv×(π / 2)]+α×Dn≤Y, the abnormality analysis unit determines that the waterway meteorological environment is normal within the monitoring period;

[0024] When sin[Fv×(π / 2)]+α×Dn>Y, the abnormality analysis unit determines that the waterway meteorological environment is abnormal during the monitoring period;

[0025] Among them, α is the preset adjustment coefficient and Y is the preset meteorological anomaly coefficient.

[0026] Furthermore, the judgment module is provided with a judgment unit and an adjustment unit, and the judgment unit is used to compare the draft of each ship obtained during the monitoring period with the waterway water level sw0 during the monitoring period, and judge the driving mode of the ship during the monitoring period according to the comparison result, wherein:

[0027] When S(i)≤sw0, if sw0-S(i)≤fy, the judgment unit determines that the travel mode of the i-th ship in the waiting area during the monitoring period is the waiting mode; if sw0-S(i)>fy, the judgment unit determines that the travel mode of the i-th ship in the waiting area during the monitoring period is the passing mode;

[0028] When S(i)>sw0, the judgment unit determines that the travel mode of the i-th ship in the waiting area within the monitoring period is the waiting mode.

[0029] Furthermore, the adjustment unit is used to compare the water flow velocity p0 of the channel obtained during the monitoring period with the preset flow velocity p1, and adjust the judgment process of the ship's driving mode according to the comparison result, wherein:

[0030] When p0≤p1, the adjustment unit determines that the water velocity of the waterway is normal during the monitoring period and does not make any adjustment;

[0031] When p0>p1, the adjustment unit determines that the water velocity of the channel is abnormal during the monitoring period, and adjusts the judgment process of the ship's driving mode, and sets the adjusted preset surplus depth to fy', setting:

[0032] fy'=fy×{1-[(p0-p1) / (p0+p1)+1] (p0-p1) / p0+1 -1} / 3}.

[0033] Furthermore, the scheduling module is provided with a traffic analysis unit and a scheduling unit, and the traffic analysis unit is used to analyze the number of ships passing during the monitoring period according to the division results of the ship traffic pressure level during the monitoring period and the analysis results of the abnormality of the waterway meteorological environment, wherein:

[0034] When the ship traffic pressure level is low, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R1, and sets R1=m0; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R2, and sets R2=m0×[1-γ×ln(△Y+1)];

[0035] When the ship traffic pressure level is medium, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R3, and sets R3=m1; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R4, and sets R4=m1×[1-γ×ln(△Y+1)];

[0036] When the ship traffic pressure level is high, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R5, and sets R5=m2; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R6, and sets R6=m2×[1-γ×ln(△Y+1)];

[0037] Among them, m0 is the first preset pass threshold, m1 is the second preset pass threshold, m2 is the third preset pass threshold, and γ is the preset adjustment coefficient.

[0038] Furthermore, the scheduling unit is used to calculate the priority coefficient of each ship according to the obtained judgment results of the ship type, ship length, ship waiting time and ship driving mode, wherein:

[0039] U(j)=w1×β(j)+w2×t(j) / t0+w3×L(j) / L0;

[0040] The dispatch unit sorts the calculation results of the priority coefficients of each ship in descending order. When J≤Rr, the dispatch unit uses the sorting results of the priority coefficients of each ship as the passage sequence of the ship. When J>Rr, the dispatch unit selects the ships with the priority coefficients before Rr, and uses the sorting results of the priority coefficients of the ships with the priority coefficients before Rr as the passage sequence of the ship.

[0041] Wherein, Rr is the threshold value of the number of ships passing during the monitoring period, U(j) is the priority coefficient of the j-th ship whose driving mode is the passing mode, β(j) is the preset type coefficient of the j-th ship whose driving mode is the passing mode, t(j) is the waiting time of the j-th ship whose driving mode is the passing mode, t0 is the preset waiting time, L(j) is the length of the j-th ship whose driving mode is the passing mode, L0 is the preset length, w1 is the type weight, w2 is the waiting weight, and w3 is the length weight.

[0042] Further, an optimization module is used to optimize the analysis process of the number of ships passing during the monitoring period according to the obtained average channel width and channel curvature coefficient; the optimization module is provided with a first optimization unit and a second optimization unit, the first optimization unit is used to compare the obtained average channel width k0 with the preset width k1, and optimize the analysis process of the number of ships passing during the monitoring period according to the comparison result, wherein:

[0043] When k0<k1, the first optimization unit determines that the channel width is abnormal, and optimizes the analysis process of the number of ships passing during the monitoring period, and sets the optimized preset adjustment coefficient as γ', setting γ'=γ+γ0×{1+exp[3×(k1-k0) / k1-3]};

[0044] When k0≥k1, the first optimization unit determines that the channel width is normal and does not perform optimization;

[0045] Among them, γ0 is a preset adjustment value.

[0046] Furthermore, the second optimization unit is used to compare the obtained channel curvature coefficient q0 with the preset curvature coefficient q1, and perform secondary optimization on the analysis process of the number of ships passing during the monitoring period according to the comparison result, wherein:

[0047] When q0≤q1, the second optimization unit determines that the curvature of the channel is normal and does not perform optimization;

[0048] When q0>q1, the second optimization unit determines that the curvature of the channel is abnormal, and performs secondary optimization on the analysis process of the number of ships passing during the monitoring period, and sets the optimized preset width to k1', setting k1'=k1×exp[-(q0-q1) / (q0+q1)].

[0049] Compared with the prior art, the beneficial effects of the present invention are that the level classification module improves the accuracy of the analysis of the number of ships passing and the ship scheduling plan by dividing the ship passage pressure levels, the meteorological monitoring module improves the accuracy of the analysis of the abnormality of the waterway meteorological environment by setting preset wind speed and preset visibility, and improves the accuracy of the analysis of the abnormality of the waterway meteorological environment by setting preset adjustment coefficients and preset meteorological anomaly coefficients, thereby improving the scheduling efficiency of ships, the judgment module improves the accuracy of the judgment of the ship's driving mode during the monitoring period by setting a preset surplus depth, thereby improving the accuracy of the analysis of the number of ships passing and the ship scheduling plan, and improves the accuracy of the setting of the preset surplus depth by setting a preset flow rate, thereby improving the accuracy of the judgment of the ship's driving mode during the monitoring period, and the scheduling module The preset passage threshold and the preset adjustment coefficient are set to improve the accuracy of the analysis of the number of ship passages and the ship scheduling plan, thereby improving the scheduling efficiency of ships. The preset type coefficient, the preset waiting time, the preset length and each weight are set to improve the accuracy of the analysis of the number of ship passages and the ship scheduling plan, thereby improving the scheduling efficiency of ships and improving the safety of ship passage. The optimization module sets a preset width to reduce the impact of the narrow channel width on the analysis process of the number of ship passages, thereby improving the accuracy of the analysis of the number of ship passages and the ship scheduling plan. The preset curvature coefficient is set to reduce the impact of the excessive curvature of the channel on the analysis process of the number of ship passages, thereby improving the accuracy of the analysis of the number of ship passages and the ship scheduling plan, and ultimately improving the scheduling efficiency of ships and improving the safety of ship passage. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 Schematic diagram of the structure of the waterway traffic monitoring system of this embodiment.

[0051] Figure 2 Schematic diagram of the structure of the meteorological monitoring module of this embodiment.

[0052] Figure 3 It is a structural diagram of the judgment module in this embodiment.

[0053] Figure 4 Schematic diagram of the structure of the scheduling module in this embodiment.

[0054] Figure 5 This is a schematic diagram of the structure of the optimization module in this embodiment. DETAILED DESCRIPTION

[0055] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0056] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0057] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0058] See also Figure 1 As shown, it is a schematic diagram of the structure of the waterway traffic monitoring system of this embodiment, and the system includes:

[0059] An information acquisition module is used to obtain ship information, channel information, tidal information and meteorological information in the waiting area; the ship information in the waiting area includes the number of ships, ship types, ship waiting time, ship length and ship draft, and the ship types include container ships, bulk carriers and tankers, etc.; the channel information includes the average channel width and the channel curvature coefficient, and the channel curvature coefficient is the ratio of the actual length of the channel to the straight-line distance between the two end points, the meteorological information includes the channel wind speed and the channel visibility, and the tidal information includes the channel water flow rate and the channel water level; this embodiment does not specifically limit the acquisition method of the ship information, channel information, tidal information and meteorological information in the waiting area, and those skilled in the art can freely set it, as long as the acquisition requirements of the ship information, channel information, tidal information and meteorological information in the waiting area are met, among which the ship information and channel information in the waiting area can be obtained through interaction, and the tidal information and meteorological information can be obtained through the official website of China Maritime Affairs, or through professional navigation websites;

[0060] A level classification module is used to classify the ship traffic pressure level according to the number of ships in the waiting area during the monitoring period, and the level classification module is connected to the information acquisition module; the number of ships in the waiting area during the monitoring period in this embodiment is the number of ships at the beginning of the monitoring period; the monitoring period in this embodiment is a time range set by the ship dispatch management to formulate the optimal dispatch plan. This embodiment does not specifically limit the setting of the monitoring period, and those skilled in the art can freely set it as long as the setting requirements of the monitoring period are met, wherein the monitoring period can be set to 3h, 4h, etc.;

[0061] A meteorological monitoring module, used for analyzing the abnormality of the meteorological environment of the channel according to the channel wind speed and channel visibility acquired during the monitoring period, the meteorological monitoring module is connected to the information acquisition module;

[0062] A judgment module, used to judge the driving mode of the ship according to the water level of the channel and the draft of the ship obtained during the monitoring period, and to adjust the judgment process of the driving mode according to the water velocity of the water channel obtained during the monitoring period, and the judgment module is connected to the information acquisition module; the water level of the channel during the monitoring period in this embodiment is the lowest water level of the channel during the monitoring period;

[0063] A dispatching module is used to analyze the number of ships passing during the monitoring period according to the classification results of the ship traffic pressure level during the monitoring period and the analysis results of the waterway meteorological anomalies, and to dispatch the ships according to the judgment results of the ship length, ship type, ship driving mode and the analysis results of the number of ships passing. The dispatching module is connected with the classification module, the meteorological monitoring module and the judgment module;

[0064] The optimization module is used to optimize the analysis process of the number of ships passing during the monitoring period according to the obtained average channel width and channel curvature coefficient, and the optimization module is connected to the scheduling module.

[0065] See also Figure 2 As shown, it is a schematic diagram of the structure of the meteorological monitoring module of this embodiment, and the meteorological monitoring module includes:

[0066] A meteorological analysis unit is used to analyze the abnormality of the wind speed and visibility of the channel during the monitoring period according to the acquired wind speed and visibility of the channel during the monitoring period;

[0067] The abnormality analysis unit is used to analyze the abnormality of the meteorological environment of the channel within the monitoring period according to the analysis results of the abnormality of the wind speed and the abnormality of the visibility of the channel within the monitoring period. The abnormality analysis unit is connected to the meteorological analysis unit.

[0068] See also Figure 3 As shown, it is a schematic diagram of the structure of the judgment module of this embodiment, and the judgment module includes:

[0069] A judgment unit, used to judge the travel mode of the ship during the monitoring period according to the obtained draft of the ship during the monitoring period and the water level of the channel during the monitoring period;

[0070] The adjustment unit is used to adjust the judgment process of the ship's driving mode according to the water flow velocity of the channel obtained during the monitoring period, and the adjustment unit is connected to the judgment unit.

[0071] See also Figure 4 As shown, it is a schematic diagram of the structure of the scheduling module of this embodiment, and the scheduling module includes:

[0072] The traffic analysis unit is used to analyze the number of ships passing during the monitoring period according to the classification results of the ship traffic pressure level during the monitoring period and the analysis results of the abnormality of the waterway meteorological environment;

[0073] The dispatching unit is used to dispatch the ship according to the obtained judgment results of the ship type, ship length, ship waiting time and ship driving mode, and the dispatching unit is connected to the traffic analysis unit.

[0074] See also Figure 5 As shown, it is a schematic diagram of the structure of the optimization module of this embodiment, and the optimization module includes:

[0075] The first optimization unit is used to optimize the analysis process of the number of ships passing within the monitoring period according to the obtained average width of the channel;

[0076] The second optimization unit is used to perform secondary optimization on the analysis process of the number of ships passing within the monitoring period according to the obtained channel curvature coefficient, and the second optimization unit is connected to the first optimization unit.

[0077] Specifically, the waterway traffic monitoring system described in this embodiment is applied to the scheduling of ship traffic in narrow channels. It divides the waterway traffic pressure levels and analyzes the abnormality of the waterway meteorological environment. The ship is scheduled based on the judgment results of the ship's driving mode, and the scheduling process is optimized according to the channel width and channel curvature coefficient, thereby improving the scheduling efficiency of the ship and the safety of the ship's passage.

[0078] Specifically, the level classification module compares the number of ships in the waiting area a0 obtained during the monitoring period with each preset number, and classifies the ship traffic pressure level according to the comparison result, wherein:

[0079] When a0<a1, the level classification module determines that the ship traffic pressure level is a low level;

[0080] When a1≤a0≤a2, the level classification module determines that the ship traffic pressure level is medium;

[0081] When a0>a2, the level classification module determines that the ship traffic pressure level is a high level;

[0082] Wherein, a1 is a first preset number, a2 is a second preset number, and a1<a2.

[0083] Specifically, the level classification module improves the accuracy of the analysis of the number of ships passing and the ship scheduling plan by classifying the ship passage pressure levels, thereby improving the scheduling efficiency of ships and improving the safety of ship passage; this embodiment does not specifically limit the setting of the preset number, and technical personnel in this field can set it freely, as long as the setting requirements of the preset number are met, among which the optimal value of a1 is 60 ships, and the optimal value of a2 is 80 ships.

[0084] Specifically, the meteorological analysis unit compares the channel wind speed v0 obtained during the monitoring period with the preset wind speed v1, and analyzes the abnormality of the channel wind speed according to the comparison result, wherein:

[0085] When v0≤v1, the meteorological analysis unit determines that the wind speed of the channel within the monitoring period is normal;

[0086] When v0>v1, the meteorological analysis unit determines that the wind speed of the channel within the monitoring period is abnormal, and sets the abnormal index of the wind speed of the channel to Fv, setting Fv=(v0-v1) / (v1+v0);

[0087] The meteorological analysis unit compares the channel visibility n0 obtained during the monitoring period with the preset visibility n1, and analyzes the abnormality of the channel visibility according to the comparison result, wherein:

[0088] When n0≤n1, the meteorological analysis unit determines that the waterway visibility is abnormal during the monitoring period, and sets the abnormal index of the waterway visibility to Dn, setting Dn=(n1-n0) / n1;

[0089] When n0>n1, the meteorological analysis unit determines that the channel visibility within the monitoring period is normal.

[0090] Specifically, the meteorological analysis unit improves the accuracy of the abnormality analysis of the waterway meteorological environment by setting the preset wind speed and the preset visibility, thereby improving the accuracy of the analysis of the number of ships passing and the ship scheduling plan, thereby improving the scheduling efficiency of ships and improving the safety of ship passage; this embodiment does not make specific limitations on the setting of the preset wind speed and the preset visibility, and technical personnel in this field can set them freely, as long as the setting requirements of the preset wind speed and the preset visibility are met, among which the optimal value of v1 is 17.1 m / s, and the optimal value of n1 is 1 nautical mile.

[0091] Specifically, the abnormality analysis unit analyzes the abnormality of the channel meteorological environment during the monitoring period according to the analysis results of the abnormality of the channel wind speed and the abnormality of the channel visibility during the monitoring period, wherein:

[0092] When sin[Fv×(π / 2)]+α×Dn≤Y, the abnormality analysis unit determines that the waterway meteorological environment is normal within the monitoring period;

[0093] When sin[Fv×(π / 2)]+α×Dn>Y, the abnormality analysis unit determines that the waterway meteorological environment is abnormal during the monitoring period;

[0094] Among them, α is the preset adjustment coefficient, Y is the preset meteorological anomaly coefficient, 0<Y<0.4, 0.5<α<1, when the wind speed of the channel is normal during the monitoring period, the value of Fv is 0, when the visibility of the channel is normal during the monitoring period, the value of Dn is 0.

[0095] Specifically, the anomaly analysis unit improves the accuracy of the abnormality analysis of the waterway meteorological environment by setting a preset adjustment coefficient and a preset meteorological anomaly coefficient, thereby improving the scheduling efficiency of ships and improving the safety of ship passage; this embodiment does not specifically limit the setting of the preset adjustment coefficient and the preset meteorological anomaly coefficient, and technical personnel in this field can set them freely, as long as the setting requirements of the preset adjustment coefficient and the preset meteorological anomaly coefficient are met, where the optimal value of Y is 0.2, and the optimal value of α is 0.86.

[0096] Specifically, the judgment unit compares the draft of each ship obtained during the monitoring period with the waterway water level sw0 during the monitoring period, and judges the travel mode of the ship during the monitoring period according to the comparison result, wherein:

[0097] When S(i)≤sw0, if sw0-S(i)≤fy, the judgment unit determines that the travel mode of the i-th ship in the waiting area during the monitoring period is the waiting mode; if sw0-S(i)>fy, the judgment unit determines that the travel mode of the i-th ship in the waiting area during the monitoring period is the passing mode;

[0098] When S(i)>sw0, the judgment unit determines that the travel mode of the i-th ship in the waiting area within the monitoring period is the waiting mode;

[0099] Among them, S(i) is the draft of the i-th ship in the waiting area during the monitoring period, and fy is the preset surplus depth.

[0100] Specifically, the judgment unit sets a preset surplus depth to improve the accuracy of ship driving mode judgment during the monitoring period, thereby improving the accuracy of ship passage number and ship scheduling plan analysis, thereby improving ship scheduling efficiency and improving the safety of ship passage; this embodiment does not make specific limitations on the setting of the preset surplus depth, and technical personnel in this field can set it freely, as long as the setting requirements of the preset surplus depth are met, where the optimal value of fy is 1.2m.

[0101] Specifically, the adjustment unit compares the water flow velocity p0 of the channel obtained during the monitoring period with the preset flow velocity p1, and adjusts the judgment process of the ship's driving mode according to the comparison result, wherein:

[0102] When p0≤p1, the adjustment unit determines that the water velocity of the waterway is normal during the monitoring period and does not make any adjustment;

[0103] When p0>p1, the adjustment unit determines that the water velocity of the channel is abnormal during the monitoring period, and adjusts the judgment process of the ship's driving mode, and sets the adjusted preset surplus depth to fy', setting:

[0104] fy'=fy×{1-[(p0-p1) / (p0+p1)+1] (p0-p1) / p0+1 -1} / 3}.

[0105] Specifically, the adjustment unit improves the accuracy of the preset surplus depth setting by setting a preset flow rate, thereby improving the accuracy of the ship driving mode judgment during the monitoring period, thereby improving the accuracy of the analysis of the number of ships passing and the ship scheduling plan, and ultimately improving the ship scheduling efficiency and the safety of ship passage; this embodiment does not make specific limitations on the setting of the preset flow rate, and technical personnel in this field can set it freely, as long as the setting requirements of the preset flow rate are met, where the optimal value of p1 is 2m / s.

[0106] Specifically, the traffic analysis unit analyzes the number of ships passing during the monitoring period according to the classification results of the ship traffic pressure levels during the monitoring period and the analysis results of the abnormality of the waterway meteorological environment, wherein:

[0107] When the ship traffic pressure level is low, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold value of the number of ships passing during the monitoring period to R1, and sets R1=m0; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold value of the number of ships passing during the monitoring period to R2, and sets R2=m0×[1-γ×ln(△Y+1)], where R2 is the result of rounding down m0×[1-γ×ln(△Y+1)];

[0108] When the ship traffic pressure level is medium, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold value of the number of ships passing during the monitoring period to R3, and sets R3=m1; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold value of the number of ships passing during the monitoring period to R4, and sets R4=m1×[1-γ×ln(△Y+1)], where R4 is the result of rounding down m1×[1-γ×ln(△Y+1)];

[0109] When the ship traffic pressure level is high, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold value of the number of ships passing during the monitoring period to R5, and sets R5=m2; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold value of the number of ships passing during the monitoring period to R6, and sets R6=m2×[1-γ×ln(△Y+1)], where R6 is the result of rounding down m2×[1-γ×ln(△Y+1)];

[0110] Among them, m0 is the first preset pass threshold, m1 is the second preset pass threshold, m2 is the third preset pass threshold, γ is the preset adjustment coefficient, 0<γ<0.6, m0<m1<m2, △Y=sin[Fv×(π / 2)]+α×Dn-Y.

[0111] Specifically, the traffic analysis unit sets a preset traffic threshold and a preset adjustment coefficient to improve the accuracy of the analysis of the number of ships passing and the ship scheduling plan, thereby improving the scheduling efficiency of ships and improving the safety of ship passage; this embodiment does not specifically limit the setting of the preset traffic threshold and the preset adjustment coefficient, and technical personnel in this field can set them freely, as long as the setting requirements of the preset traffic threshold and the preset adjustment coefficient are met, among which the optimal value of m0 is 35 ships, the optimal value of m1 is 40 ships, the optimal value of m3 is 50 ships, and the optimal value of γ is 0.54.

[0112] Specifically, the dispatching unit calculates the priority coefficient of each ship according to the obtained judgment results of the ship type, ship length, ship waiting time and ship driving mode, where:

[0113] U(j)=w1×β(j)+w2×t(j) / t0+w3×L(j) / L0;

[0114] The dispatch unit sorts the calculation results of the priority coefficients of each ship in descending order. When J≤Rr, the dispatch unit uses the sorting results of the priority coefficients of each ship as the passage sequence of the ship. When J>Rr, the dispatch unit selects the ships with the priority coefficients before Rr, and uses the sorting results of the priority coefficients of the ships with the priority coefficients before Rr as the passage sequence of the ship.

[0115] The scheduling unit outputs the ship passage sequence plan to the user;

[0116] Wherein, Rr is the threshold value of the number of ships passing during the monitoring period, U(j) is the priority coefficient of the j-th ship whose driving mode is the passing mode, β(j) is the preset type coefficient of the j-th ship whose driving mode is the passing mode, t(j) is the waiting time of the j-th ship whose driving mode is the passing mode, t0 is the preset waiting time, L(j) is the length of the j-th ship whose driving mode is the passing mode, L0 is the preset length, w1 is the type weight, w2 is the waiting weight, w3 is the length weight, and w3<w1<w2.

[0117] Specifically, the scheduling unit improves the accuracy of the analysis of the number of ships passing and the ship scheduling plan by setting preset type coefficients, preset waiting times, preset lengths and various weights, thereby improving the scheduling efficiency of ships and improving the safety of ship passage; the present embodiment does not specifically limit the setting of preset type coefficients, preset waiting times, preset lengths and various weights, and those skilled in the art can set them freely, as long as the setting requirements of the preset type coefficients, preset waiting times, preset lengths and various weights are met, wherein the optimal value of the preset type coefficient of a container ship is 1, the optimal value of the preset type coefficient of a bulk carrier is 0.8, the optimal value of the preset type coefficient of an oil tanker is 0.6, the optimal value of t0 is 1h, the optimal value of L0 is 400m, the optimal value of w1 is 0.8, the optimal value of w2 is 1.2, and the optimal value of w3 is 0.5; the present embodiment does not specifically limit the sorting method, and those skilled in the art can set it freely, as long as the sorting requirements are met, wherein the sorting can be performed by the bubble sort method.

[0118] Specifically, the first optimization unit compares the obtained average channel width k0 with the preset width k1, and optimizes the analysis process of the number of ships passing during the monitoring period according to the comparison result, wherein:

[0119] When k0<k1, the first optimization unit determines that the channel width is abnormal, and optimizes the analysis process of the number of ships passing during the monitoring period, and sets the optimized preset adjustment coefficient as γ', setting γ'=γ+γ0×{1+exp[3×(k1-k0) / k1-3]};

[0120] When k0≥k1, the first optimization unit determines that the channel width is normal and does not perform optimization;

[0121] Wherein, γ0 is a preset adjustment value, 0<γ0<0.4.

[0122] Specifically, the first optimization unit reduces the impact of the narrow channel width on the analysis process of the number of ships passing through by setting a preset width, thereby improving the accuracy of the analysis of the number of ships passing through and the ship scheduling plan, and ultimately improving the scheduling efficiency of ships and the safety of ship passage; this embodiment does not specifically limit the setting of the preset width and the preset adjustment value, and technical personnel in this field can set them freely, as long as the setting requirements of the preset width and the preset adjustment value are met, among which the optimal value of k1 is 30m, and the optimal value of γ0 is 0.35.

[0123] Specifically, the second optimization unit compares the obtained channel curvature coefficient q0 with the preset curvature coefficient q1, and performs secondary optimization on the analysis process of the number of ships passing during the monitoring period according to the comparison result, wherein:

[0124] When q0≤q1, the second optimization unit determines that the curvature of the channel is normal and does not perform optimization;

[0125] When q0>q1, the second optimization unit determines that the curvature of the channel is abnormal, and performs secondary optimization on the analysis process of the number of ships passing during the monitoring period, and sets the optimized preset width to k1', setting k1'=k1×exp[-(q0-q1) / (q0+q1)].

[0126] Specifically, the second optimization unit sets a preset curvature coefficient to reduce the impact of excessive channel curvature on the analysis process of the number of ships passing, thereby improving the accuracy of the analysis of the number of ships passing and the ship scheduling plan, and ultimately improving the scheduling efficiency of ships and the safety of ship passage; this embodiment does not make specific limitations on the setting of the preset curvature coefficient, and technical personnel in this field can set it freely, as long as the setting requirements of the preset curvature coefficient are met, among which the optimal value of q1 is 1.33. It is worth noting that this embodiment does not make specific limitations on the secondary optimization process of the analysis process of the number of ships passing, and technical personnel in this field can also add influencing factors such as the curvature radius to jointly perform secondary optimization on the analysis process of the number of ships passing.

[0127] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A waterway traffic monitoring system, characterized in that: include, Information acquisition module, used to obtain ship information, channel information, tidal information and meteorological information in the waiting area; The level classification module is used to classify the ship traffic pressure level according to the number of ships in the waiting area during the monitoring period; A meteorological monitoring module is used to analyze the abnormality of the wind speed and visibility of the channel during the monitoring period according to the acquired wind speed and visibility of the channel during the monitoring period, and is also used to analyze the abnormality of the meteorological environment of the channel during the monitoring period according to the analysis results of the abnormality of the wind speed and visibility of the channel during the monitoring period; A judgment module, used to judge the ship's driving mode according to the channel water level and the ship's draft depth obtained during the monitoring period, and to adjust the judgment process of the driving mode according to the channel water flow rate obtained during the monitoring period; The scheduling module is used to analyze the number of ships passing during the monitoring period according to the classification results of the ship traffic pressure levels during the monitoring period and the analysis results of the channel meteorological anomalies, and to schedule ships based on the judgment results of ship length, ship type, ship driving mode and the analysis results of the number of ship passages.

2. The waterway traffic monitoring system according to claim 1, characterized in that: The level classification module compares the number of ships in the waiting area a0 obtained during the monitoring period with each preset number, and classifies the ship traffic pressure level according to the comparison result, where: When a0<a1, the level classification module determines that the ship traffic pressure level is a low level; When a1≤a0≤a2, the level classification module determines that the ship traffic pressure level is medium; When a0>a2, the level classification module determines that the ship traffic pressure level is a high level; Wherein, a1 is the first preset number, and a2 is the second preset number.

3. The waterway traffic monitoring system according to claim 2, characterized in that: The meteorological monitoring module is provided with a meteorological analysis unit and an abnormality analysis unit, and the meteorological analysis unit is used to compare the channel wind speed v0 obtained within the monitoring period with the preset wind speed v1, and analyze the abnormality of the channel wind speed according to the comparison result, wherein: When v0≤v1, the meteorological analysis unit determines that the wind speed of the channel within the monitoring period is normal; When v0>v1, the meteorological analysis unit determines that the channel wind speed within the monitoring period is abnormal, and sets the abnormal index of the channel wind speed to Fv, setting Fv=(v0-v1) / (v1+v0); The meteorological analysis unit compares the channel visibility n0 obtained during the monitoring period with the preset visibility n1, and analyzes the abnormality of the channel visibility according to the comparison result, wherein: When n0≤n1, the meteorological analysis unit determines that the channel visibility is abnormal during the monitoring period, and sets the abnormal index of the channel visibility to Dn, setting Dn=(n1-n0) / n1; When n0>n1, the meteorological analysis unit determines that the channel visibility within the monitoring period is normal.

4. The waterway traffic monitoring system according to claim 3, characterized in that: The abnormality analysis unit is used to analyze the abnormality of the channel meteorological environment during the monitoring period according to the analysis results of the channel wind speed abnormality and the channel visibility abnormality during the monitoring period, wherein: When sin[Fv×(π / 2)]+α×Dn≤Y, the abnormality analysis unit determines that the waterway meteorological environment is normal within the monitoring period; When sin[Fv×(π / 2)]+α×Dn>Y, the abnormality analysis unit determines that the waterway meteorological environment is abnormal during the monitoring period; Among them, α is the preset adjustment coefficient and Y is the preset meteorological anomaly coefficient.

5. The waterway traffic monitoring system according to claim 4, characterized in that: The judgment module is provided with a judgment unit and an adjustment unit, and the judgment unit is used to compare the draft of each ship obtained during the monitoring period with the waterway water level sw0 during the monitoring period, and judge the driving mode of the ship during the monitoring period according to the comparison result, wherein: When S(i)≤sw0, if sw0-S(i)≤fy, the judgment unit determines that the travel mode of the i-th ship in the waiting area during the monitoring period is the waiting mode; if sw0-S(i)>fy, the judgment unit determines that the travel mode of the i-th ship in the waiting area during the monitoring period is the passing mode; When S(i)>sw0, the judgment unit determines that the travel mode of the i-th ship in the waiting area within the monitoring period is the waiting mode.

6. The waterway traffic monitoring system according to claim 5, characterized in that: The adjustment unit is used to compare the water flow velocity p0 of the channel obtained during the monitoring period with the preset flow velocity p1, and adjust the judgment process of the ship's driving mode according to the comparison result, wherein: When p0≤p1, the adjustment unit determines that the water velocity in the waterway is normal during the monitoring period and does not make any adjustment; When p0>p1, the adjustment unit determines that the water velocity of the channel is abnormal during the monitoring period, and adjusts the judgment process of the ship's driving mode, and sets the adjusted preset surplus depth to fy', setting: fy'=fy×{1-[(p0-p1) / (p0+p1)+1] (p0-p1) / p0+1 -1} / 3}。 7. The waterway traffic monitoring system according to claim 6, characterized in that: The scheduling module is provided with a traffic analysis unit and a scheduling unit. The traffic analysis unit is used to analyze the number of ships passing during the monitoring period according to the classification results of the ship traffic pressure level during the monitoring period and the analysis results of the abnormality of the waterway meteorological environment, wherein: When the ship traffic pressure level is low, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R1, and sets R1=m0; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R2, and sets R2=m0×[1-γ×ln(△Y+1)]; When the ship traffic pressure level is medium, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R3, and sets R3=m1; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R4, and sets R4=m1×[1-γ×ln(△Y+1)]; When the ship traffic pressure level is high, if the channel meteorological environment is normal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R5, and sets R5=m2; if the channel meteorological environment is abnormal, the traffic analysis unit sets the threshold of the number of ships passing during the monitoring period to R6, and sets R6=m2×[1-γ×ln(△Y+1)]; Among them, m0 is the first preset pass threshold, m1 is the second preset pass threshold, m2 is the third preset pass threshold, and γ is the preset adjustment coefficient.

8. The waterway traffic monitoring system according to claim 7, characterized in that: The dispatching unit is used to calculate the priority coefficient of each ship according to the obtained judgment results of the ship type, ship length, ship waiting time and ship driving mode, wherein: U(j)=w1×β(j)+w2×t(j) / t0+w3×L(j) / L0; The dispatch unit sorts the calculation results of the priority coefficients of each ship in descending order. When J≤Rr, the dispatch unit uses the sorting results of the priority coefficients of each ship as the passage sequence of the ship. When J>Rr, the dispatch unit selects the ships with the priority coefficients before Rr, and uses the sorting results of the priority coefficients of the ships with the priority coefficients before Rr as the passage sequence of the ship. Wherein, Rr is the threshold value of the number of ships passing during the monitoring period, U(j) is the priority coefficient of the j-th ship whose driving mode is the passing mode, β(j) is the preset type coefficient of the j-th ship whose driving mode is the passing mode, t(j) is the waiting time of the j-th ship whose driving mode is the passing mode, t0 is the preset waiting time, L(j) is the length of the j-th ship whose driving mode is the passing mode, L0 is the preset length, w1 is the type weight, w2 is the waiting weight, and w3 is the length weight.

9. The waterway traffic monitoring system according to claim 8, characterized in that: It also includes an optimization module, which is used to optimize the analysis process of the number of ships passing during the monitoring period according to the obtained average channel width and channel curvature coefficient; the optimization module is provided with a first optimization unit and a second optimization unit, the first optimization unit is used to compare the obtained average channel width k0 with the preset width k1, and optimize the analysis process of the number of ships passing during the monitoring period according to the comparison result, wherein: When k0<k1, the first optimization unit determines that the channel width is abnormal, and optimizes the analysis process of the number of ships passing during the monitoring period, and sets the optimized preset adjustment coefficient as γ', setting γ'=γ+γ0×{1+exp[3×(k1-k0) / k1-3]}; When k0≥k1, the first optimization unit determines that the channel width is normal and does not perform optimization; Among them, γ0 is a preset adjustment value.

10. The waterway traffic monitoring system according to claim 9, characterized in that: The second optimization unit is used to compare the obtained channel curvature coefficient q0 with the preset curvature coefficient q1, and perform secondary optimization on the analysis process of the number of ships passing during the monitoring period according to the comparison result, wherein: When q0≤q1, the second optimization unit determines that the curvature of the channel is normal and does not perform optimization; When q0>q1, the second optimization unit determines that the curvature of the channel is abnormal, and performs secondary optimization on the analysis process of the number of ships passing during the monitoring period, and sets the optimized preset width to k1', setting k1'=k1×exp[-(q0-q1) / (q0+q1)].

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