Inland ship grading deploy and control system and method

Abstract

The invention discloses an inland ship grading deployment and control system and method, and relates to the technical field of ship intelligent supervision, and the system comprises a data collection layer which comprises data collection equipment used for collecting multi-source data; the decision-making layer comprises a computing device, and the computing device computes a ship risk score based on the dynamic weight; carrying out grading judgment based on the risk score; sending different execution instructions to different terminals based on the grading judgment result; the execution layer comprises execution equipment, and the execution equipment or the execution instruction; wherein the dynamic weight is determined by the ship illegal behavior attribute information and a time decay factor, and the time decay factor is used for constraining the historical duration of the illegal behavior in the attribute information. The ship long-term behavior risk is accurately reflected, guidance of high-frequency habitual prisoner key management and control and accidental law violation moderate fault tolerance is objectively achieved, the response strategy is connected with the risk level, and the high-risk target omission ratio is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent ship supervision, and in particular to a hierarchical control system and method for inland waterway ships. Background Art

[0002] Among the related technologies, existing ship supervision technologies mainly rely on manual inspections and static databases, monitoring the basic status of ships through on-site inspections by law enforcement personnel or AIS systems. Summary of the Invention

[0003] The main purpose of the present invention is to provide a hierarchical control system for inland waterway vessels to solve the deficiencies in the related art.

[0004] In order to achieve the above-mentioned purpose, according to the first aspect of the present invention, a hierarchical control system for inland vessels is provided, comprising a data acquisition layer, including a data acquisition device for collecting multi-source data; a decision layer, including a computing device, wherein the computing device calculates a ship risk score based on a dynamic weight; and performs a hierarchical judgment based on the risk score; different execution instructions are sent to different terminals based on the hierarchical judgment results; an execution layer, including an execution device, the execution device or the execution instruction; wherein the dynamic weight is determined by the attribute information of the ship's illegal behavior and a time decay factor, and the time decay factor is used to constrain the historical duration of the illegal behavior in the attribute information.

[0005] Optionally, calculating the ship risk score based on the dynamic weight includes: , wherein the is the weight of illegal behavior, The time since the illegal act, is the annual decay rate, is the number of ship violation records, is the ship risk score.

[0006] Optionally, the grading judgment based on the risk score includes: if the risk value is less than a first threshold value, the violation level is minor, triggering a third-level response; if the risk value is greater than or equal to the first threshold value and less than a second threshold value, the violation level is general, triggering a second-level response; if the risk value is greater than or equal to the second threshold value, the violation level is serious, triggering a first-level response.

[0007] Optionally, sending different execution instructions to different terminals based on the graded judgment results includes: if the graded judgment result is level one, sending the execution instruction to the terminal of the waterway control system; if the graded judgment result is level two, sending the execution instruction to the law enforcement dispatch terminal of the command center, and communicating with the crew through VHF communication equipment; if the judgment result is level three, sending the inspection instruction to the law enforcement dispatch terminal, and sending an alarm message to the crew user terminal in the form of a text message.

[0008] Optionally, after the instruction is sent to the law enforcement dispatch terminal, the trajectory prediction engine is called so that the trajectory scheduling engine can perform trajectory prediction based on the information for ship position adjustment determined by the law enforcement dispatch terminal.

[0009] Optionally, when performing trajectory prediction, the position is predicted based on the navigation data of the ship in the multi-source data, wherein the latitude and longitude of the starting point of the ship are used as the starting point of the ship. , real-time heading of the ship , and match the channel GIS data to the channel section where the current ship is located; obtain the standard heading of the channel section , and based on the standard heading Calculate the corrected course for a channel segment Based on the corrected heading Calculate latitude and longitude offset 、 ; Based on latitude and longitude offset 、 Determine whether the ship has exceeded the channel boundary; if it has not exceeded the channel boundary, it will be offset based on the latitude and longitude 、 Calculate the predicted latitude and longitude .

[0010] Optionally, the correction heading is based on Calculate latitude and longitude offset 、 , and calculate the predicted latitude and longitude based on the offset include: , in, is the latitude and longitude of the starting point of the ship, is the ship speed, is the prediction time interval, The course correction for the channel, is the radius of the Earth, is the latitude of the starting point in arc, is the longitude and latitude of the predicted location.

[0011] According to a second aspect of the present invention, a method for hierarchical control of inland vessels is provided, comprising acquiring multi-source data collected from a data acquisition device; calculating a vessel risk score based on a dynamic weight; and making a hierarchical determination based on the risk score; and sending different execution instructions to different terminals based on the hierarchical determination results; wherein the dynamic weight is determined by the attribute information of the vessel's illegal behavior and a time decay factor, and the time decay factor is used to constrain the historical duration of the illegal behavior in the attribute information.

[0012] According to a third aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute any one of the methods described in the first aspect.

[0013] According to a fourth aspect of the present invention, an electronic device is provided, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor executes the method described in any one implementation of the first aspect.

[0014] The present embodiment provides a graded control system and method for inland waterway vessels, wherein the system comprises a data acquisition layer, including a data acquisition device for collecting multi-source data; a decision layer, including a computing device, wherein the computing device calculates a vessel risk score based on a dynamic weight; and performs graded determination based on the risk score; and sends different execution instructions to different terminals based on the graded determination results; an execution layer, including an execution device, the execution device or the execution instruction; wherein the dynamic weight is determined by the attribute information of the vessel's illegal behavior and a time decay factor, and the time decay factor is used to constrain the historical duration of the illegal behavior in the attribute information. By combining a dynamic weight module that takes into account the time decay factor at the algorithm layer to accurately reflect the long-term behavioral risk of the vessel, the law enforcement orientation of "focusing on controlling high-frequency habitual offenders and moderately tolerating occasional violations" is objectively achieved, connecting the response strategy with the risk level, and reducing the missed detection rate of high-risk targets. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0016] Figure 1 This is a block diagram of the inland waterway vessel hierarchical control system according to an embodiment of the present invention; Figure 2 This is a schematic diagram of a first application of the inland waterway vessel hierarchical control system according to an embodiment of the present invention; Figure 3 This is a second application diagram of the inland waterway vessel hierarchical control system according to an embodiment of the present invention; Figure 4 This is a third application diagram of the inland waterway vessel hierarchical control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0018] It should be noted that the terms "first," "second," and the like in the description of the present invention and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate for the purposes of describing the embodiments of the present invention herein. In addition, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such processes, methods, products, or apparatuses.

[0019] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments of the present invention can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0020] According to an embodiment of the present invention, a hierarchical control system for inland waterway vessels is provided. Figure 1 As shown, it includes a data acquisition layer, including a data acquisition device for collecting multi-source data; a decision layer, including a computing device, wherein the computing device calculates the ship risk score based on the dynamic weight; and performs a graded judgment based on the risk score; generates different execution instructions based on the graded judgment results; an execution layer, including an execution device, wherein the execution device executes the execution instruction; wherein the dynamic weight is determined by the attribute information of the ship's illegal behavior and the time decay factor, and the time decay factor is used to constrain the historical duration of the illegal behavior in the attribute information.

[0021] In this optional implementation, refer to Figure 2 The data collection layer can be composed of electronic checkpoints, AIS terminals, and shipboard sensors. Multi-source data perception is achieved through the data collection equipment in the data collection layer. The electronic checkpoints capture images of ships, and AI identifies their characteristics. The shipboard terminals transmit AIS signals back to analyze the ship's latitude, longitude, speed, and heading. Using shipboard sensors, AI identifies draft data and, combined with the ship's empty tonnage, calculates the overload rate. This multi-source data can be transmitted to the decision-making layer for computation.

[0022] The algorithmic decision-making layer includes a dynamic weight calculation module, a hierarchical judgment module, and a trajectory prediction engine, performing real-time risk assessment based on the dynamic weight model and hierarchical judgment rules. The execution layer encompasses VHF communication equipment, law enforcement dispatch terminals, and waterway control systems, forming a complete law enforcement closed loop from analysis and decision-making to command distribution.

[0023] Furthermore, when determining vessel risk, if only a single-dimensional risk assessment is considered, counting the number of historical violations without distinguishing the timeliness and level of harm of the violations, and a single processing process is applied to different violations such as overloading and certificate expiration, this approach cannot accurately reflect the long-term behavioral risk of a vessel. By establishing a dynamic weight calculation module, which incorporates the time decay effect, it can accurately reflect the long-term behavioral risk of a vessel, and can achieve the law enforcement direction of "focusing on controlling high-frequency repeat offenders and moderately tolerating occasional violations" at the algorithmic level. In addition, the introduction of a time decay factor can prevent the permanentization of a vessel's historical records.

[0024] As an optional implementation of this embodiment, calculating the ship risk score based on the dynamic weight includes: , wherein the is the weight of illegal behavior, The time since the illegal act, is the annual decay rate, is the number of ship violation records, is the ship risk score.

[0025] In this optional implementation, the core formula for dynamic historical weight calculation is: The time decay factor reduces the impact of serious violations three years ago to 30% of the original value (e-0.3×3≈0.406e-0.3×3≈0.406), preventing historical records from becoming “permanent”.

[0026] The parameters are defined in Table 1 below: Table 1

[0027] As can be seen from the formula, in this method, the more recent and harmful the violation, the higher its impact on the risk score. Through the exponential decay function and the hierarchical weighting mechanism, the contribution of recent major violations to the risk score increases exponentially, thereby realizing the law enforcement orientation of "focusing on controlling high-frequency habitual offenders and moderately tolerating occasional violations" at the algorithm level.

[0028] As an optional implementation method of this embodiment, the grading judgment based on the risk score includes: if the risk value is less than the first threshold, the violation level is minor, triggering a third-level response; if the risk value is greater than or equal to the first threshold and less than the second threshold, the violation level is general, triggering a second-level response; if the risk value is greater than or equal to the second threshold, the violation level is serious, triggering a first-level response.

[0029] As an optional implementation method of this embodiment, sending different execution instructions to different terminals based on the graded judgment results includes: if the graded judgment result is level one, the execution instruction is sent to the terminal of the waterway control system; if the graded judgment result is level two, the execution instruction is sent to the law enforcement dispatch terminal of the command center, and communicated with the crew through VHF communication equipment; if the judgment result is level three, the inspection instruction is sent to the law enforcement dispatch terminal, and an alarm information is sent to the crew user terminal in the form of a text message.

[0030] In this optional implementation, the third level of response includes SMS warnings and local inspections; the second level of response includes calls from the command center and trajectory interception; and the first level of response is waterway control.

[0031] For example, refer to Figure 3 Schematic diagram of the graded response.

[0032] Specifically, according to the analysis of the historical law enforcement database, when the risk score reaches 5 or above, the severity of the violation is increased to another level, such as from minor to general; when it reaches 8 or above, the severity of the violation is also increased to another level, such as from general to serious. Referring to the hierarchical response triggering rules shown in Table 2, it should be understood that the threshold division can be set as needed according to the severity of the violation, and the specific value is not within the scope of protection of this application: Table 2

[0033] The three-level response mechanism shortens the interception time of high-risk targets to 30 minutes (traditional average 2 hours), and improves resource utilization by 60%.

[0034] As an optional implementation of this embodiment, an execution instruction is sent to the law enforcement dispatch terminal of the command center, and the trajectory prediction engine is called so that the trajectory scheduling engine can perform trajectory prediction based on the information for ship position adjustment determined by the law enforcement dispatch terminal.

[0035] In this optional implementation, refer to Figure 4 Schematic diagram of the trajectory prediction engine.

[0036] Trajectory prediction and resource scheduling algorithms include: ,in,

[0037] For example, in a high-frequency illegal ship interception scenario, data input: Ship A has 2 illegal records ( ), which were 20% overloaded one year ago ( Year, ), the certificate expired 0.3 years ago ( Year, ).

[0038] Dynamic risk score calculation (algorithm server): ; Response trigger (system automatically executes): because The current violation is a general violation, triggering a secondary response. The command center calls the ship via VHF and asks it to stop for inspection. The ship slows down to 10 knots ( Current ship heading ( ), the standard heading of the section ( ), starting point longitude and latitude (118.7°, 31.2°), calculated by trajectory prediction module , half an hour later, the position was (118.731°, 31.112°), and a dispatch instruction was sent to the law enforcement boat to intercept.

[0039] Execution feedback (law enforcement terminal): The law enforcement boat arrives at the interception point and inspects the ship. The ship completes the rectification of the certificate expiration and passes the review. The system automatically records the penalty results and updates the risk score.

[0040] Further, refer to Table 3: Table 3

[0041] By revising the certificate lapse record, Ship A's cumulative risk score dropped from 6.79 to 2.22, and its response level was downgraded from Level 2 to Level 3. This demonstrates the dynamic weighting model's immediate feedback on corrective actions, consistent with the regulatory principle of "proportionate penalties and encouraging compliance." This objectively achieves ship supervision. The weighting model matches the penalty standards of the Inland Waterway Traffic Safety Management Regulations (e.g., 30% overload), resulting in the maximum penalty, thus enabling dynamic ship supervision.

[0042] This embodiment dynamically quantifies a vessel's historical risk: using a time decay factor and weighting model to accurately reflect the long-term behavioral risk of a vessel. It also implements intelligent, tiered response decision-making: triggering differentiated, three-tiered control strategies based on risk thresholds (5 and 8). It also improves law enforcement resource utilization: incorporating a trajectory prediction algorithm, it achieves "precise interception of high-risk targets." Historical risk assessments factor in time decay, enabling the distinction between occasional violations and frequent, repeat offenders. Response strategies are linked to risk levels, minimizing missed detection rates for high-risk targets. Dynamic trajectory prediction and resource matching mechanisms improve interception success rates.

[0043] According to an embodiment of the present invention, a method for graded control of inland vessels is also provided, comprising acquiring multi-source data collected from a data acquisition device; calculating a ship risk score based on a dynamic weight; and making a graded judgment based on the risk score; and sending different execution instructions to different terminals based on the graded judgment result; wherein the dynamic weight is determined by the attribute information of the ship's illegal behavior and a time decay factor, and the time decay factor is used to constrain the historical duration of the illegal behavior in the attribute information.

[0044] As an optional implementation of this embodiment, calculating the ship risk score based on the dynamic weight includes: , wherein the is the weight of illegal behavior, The time since the illegal act, is the annual decay rate, is the number of ship violation records, is the ship risk score.

[0045] As an optional implementation method of this embodiment, the grading judgment based on the risk score includes: if the risk value is less than the first threshold, the violation level is minor, triggering a third-level response; if the risk value is greater than or equal to the first threshold and less than the second threshold, the violation level is general, triggering a second-level response; if the risk value is greater than or equal to the second threshold, the violation level is serious, triggering a first-level response.

[0046] Optionally, sending different execution instructions to different terminals based on the graded judgment results includes: if the graded judgment result is level one, sending the execution instruction to the terminal of the waterway control system; if the graded judgment result is level two, sending the execution instruction to the law enforcement dispatch terminal of the command center, and communicating with the crew through VHF communication equipment; if the judgment result is level three, sending the inspection instruction to the law enforcement dispatch terminal, and sending an alarm message to the crew user terminal in the form of a text message.

[0047] Optionally, after the instruction is sent to the law enforcement dispatch terminal, the trajectory prediction engine is called so that the trajectory scheduling engine can perform trajectory prediction based on the information for ship position adjustment determined by the law enforcement dispatch terminal.

[0048] Optionally, when performing trajectory prediction, the position is predicted based on the navigation data of the ship in the multi-source data, wherein the latitude and longitude of the starting point of the ship are used as the starting point of the ship. , real-time heading of the ship , and match the channel GIS data to the channel section where the current ship is located; obtain the standard heading of the channel section , and based on the standard heading Calculate the corrected course for a channel segment Based on the corrected heading Calculate latitude and longitude offset 、 ; Based on latitude and longitude offset 、 Determine whether the ship has exceeded the channel boundary; if it has not exceeded the channel boundary, it will be offset based on the latitude and longitude 、 Calculate the predicted latitude and longitude .

[0049] Optionally, the correction heading is based on Calculate latitude and longitude offset 、 , and calculate the predicted latitude and longitude based on the offset include: , in, is the latitude and longitude of the starting point of the ship, is the ship speed, The real-time heading of the ship, is the standard heading of the flight segment, is the prediction time interval, The course correction for the channel, is the radius of the Earth, is the latitude of the starting point in arc, is the longitude and latitude of the predicted location.

[0050] The program code for implementing the method of the present invention can be written in any combination of one or more programming languages. Such program code can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0051] In the context of the present invention, machine-readable medium can be a tangible medium that can contain or store a program for use with an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. Machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. More specific examples of machine-readable storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

Claims

1. A hierarchical control system for inland waterway vessels, characterized in that: include: Data acquisition layer, including data acquisition equipment for collecting multi-source data; The decision layer includes a computing device, wherein the computing device calculates a ship risk score based on a dynamic weight; performs a grading determination based on the risk score; and sends different execution instructions to different terminals based on the grading determination results; An execution layer, including an execution device, the execution device or the execution instruction; The dynamic weight is determined by the attribute information of the ship's illegal behavior and a time decay factor, and the time decay factor is used to constrain the historical duration of the illegal behavior in the attribute information.

2. The inland waterway vessel hierarchical control system according to claim 1, characterized in that: Calculation of ship risk scores based on dynamic weights includes: , wherein the is the weight of illegal behavior, The time since the illegal act, is the annual decay rate, is the number of ship violation records, is the ship risk score.

3. The inland waterway vessel hierarchical control system according to claim 2, characterized in that: The risk score-based graded determination includes: if the risk value is less than a first threshold, the illegal behavior level is minor, triggering a level three response; If the risk value is greater than or equal to the first threshold and less than the second threshold, the violation level is considered general, triggering a secondary response; If the risk value is greater than or equal to the second threshold, the violation level is severe, triggering a level one response.

4. The inland waterway vessel hierarchical control system according to claim 3, characterized in that: Sending different execution instructions to different terminals based on the hierarchical determination results includes: If the graded judgment result is level one, the execution instruction will be sent to the terminal of the waterway control system; if the graded judgment result is level two, the execution instruction will be sent to the law enforcement dispatch terminal of the command center, and communication with the crew will be carried out through VHF communication equipment; if the judgment result is level three, the inspection instruction will be sent to the law enforcement dispatch terminal, and an alarm information will be sent to the crew user terminal via SMS.

5. The inland waterway vessel hierarchical control system according to claim 4, characterized in that: After the execution instruction is sent to the law enforcement dispatch terminal of the command center, the trajectory prediction engine is called so that the trajectory dispatch engine can perform trajectory prediction based on the information for ship position adjustment determined by the law enforcement dispatch terminal.

6. The inland waterway vessel hierarchical control system according to claim 5, characterized in that: When performing trajectory prediction, the position is predicted based on the navigation data of the ship in the multi-source data, where the latitude and longitude of the starting point of the ship are used as the basis. , real-time heading of the ship And the channel GIS data matches the channel section where the current ship is located; Get the standard heading of the channel segment , and based on the standard heading Calculate the corrected course for a channel segment ; Based on the corrected heading Calculate latitude and longitude offset 、 ; Based on latitude and longitude offset 、 Determine whether the ship has exceeded the channel boundary; If it does not exceed the channel boundary, then it is offset based on the latitude and longitude. 、 Calculate the predicted latitude and longitude .

7. The inland waterway vessel hierarchical control system according to claim 6, characterized in that: Based on the corrected heading Calculate latitude and longitude offset 、 , and calculate the predicted latitude and longitude based on the offset include: ， in, is the latitude and longitude of the starting point of the ship, is the ship speed, is the prediction time interval, The course correction for the channel, is the radius of the Earth, is the latitude of the starting point in arc, is the longitude and latitude of the predicted location.

8. A hierarchical control method for inland waterway vessels, characterized in that: include: Acquire collected multi-source data from data acquisition devices; Calculate the ship risk score based on dynamic weights; And make grading decisions based on risk scores; Sending different execution instructions to different terminals based on the hierarchical determination results; The dynamic weight is determined by the attribute information of the ship's illegal behavior and a time decay factor, and the time decay factor is used to constrain the historical duration of the illegal behavior in the attribute information.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the method of claim 8.

10. An electronic device, characterized in that: include: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the method of claim 8.

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