Intelligent tracking method and system for marine logistics

Abstract

The invention relates to an intelligent tracking method and system for sea transportation logistics, and relates to the field of the sea transportation management technology, and the method comprises the steps: obtaining the actual position of shipping and reporting the remaining time; determining a prediction report point in the logistics shipping line according to the actual shipping position and the residual report duration; constructing a historical interval and obtaining an information reporting state of each position point on the logistics shipping line; defining an interruption time point and a smooth time point according to the information reporting state; determining an interruption proportion according to the interruption time point and the unobstructed time point, defining a position point of which the interruption proportion is greater than a permissible proportion as a shielding point, and defining a position point except the shielding point as a transmission point; and when the predicted reporting point is a shielding point, defining a transmission point which is before and closest to the predicted reporting point as an actual reporting point, and when the actual shipping position is consistent with the actual reporting point, performing data reporting. The method has the function of improving the tracking effect of the marine logistics.

Description

Technical Field

[0001] The present application relates to the field of maritime transport management technology, and in particular to an intelligent tracking method and system for maritime transport logistics. Background Art

[0002] Maritime logistics is a key pillar of global trade, carrying approximately 80% of international cargo. The continued growth of international trade has placed higher demands on the real-time and reliability of maritime logistics. Logistics tracking technology can monitor container location, temperature, humidity, vibration, and other parameters in real time, helping to optimize transportation routes, prevent cargo damage, improve customs clearance efficiency, and enhance visual supply chain management.

[0003] Currently, common maritime logistics tracking methods rely primarily on scheduled reporting mechanisms, such as regularly transmitting container location and environmental data via GPS or satellite communications. However, during shipping, ships may navigate deep oceans, polar regions, or areas with weak communication signals, resulting in data transmission delays. Furthermore, weather changes can disrupt communication links, further increasing the risk of information loss.

[0004] In the above-mentioned related technologies, when a signal interruption occurs before data is about to be uploaded, the blank period of logistics information will be extended, making it impossible to effectively track the logistics situation, resulting in poor logistics tracking effect, and there is still room for improvement. Summary of the Invention

[0005] In order to improve the tracking effect of maritime logistics, the present application provides an intelligent tracking method and system for maritime logistics.

[0006] In a first aspect, the present application provides an intelligent tracking method for maritime logistics, which adopts the following technical solutions:

[0007] An intelligent tracking method for maritime logistics, comprising:

[0008] Obtain the actual shipping location and report the remaining time;

[0009] Analyze the actual shipping location and remaining reporting time in the preset logistics shipping line to determine the predicted reporting point;

[0010] Construct a historical interval with the current time point as the end point and a width of the preset historical length on the preset time axis, and obtain the information reporting status of each location point on the logistics shipping line in the historical interval;

[0011] The time point of the information reporting state consistent with the preset interruption reporting state is defined as the interruption time point, and the time point of the information reporting state consistent with the preset smooth reporting state is defined as the smooth time point;

[0012] The interruption ratio is determined by calculating the interruption time point and the smooth time point, and the location point where the interruption ratio is greater than the preset permitted ratio is defined as a shielding point, and the location points other than the shielding point are defined as transmission points;

[0013] When the predicted reporting point is a shielding point, the transmission point that is before and closest to the predicted reporting point is defined as the actual reporting point, and data is reported when the actual shipping position is consistent with the actual reporting point.

[0014] Optionally, the steps of analyzing the actual shipping location and the remaining reporting time in the preset logistics shipping line to determine the predicted reporting point include:

[0015] Construct the remaining driving interval based on the current time point and the reported remaining time, and obtain the shipping driving task in the remaining driving interval, where the shipping driving task includes the task operation time and task operation speed;

[0016] The individual driving distance is determined by calculating the duration and speed of the task, and the overall driving distance is determined by summing up all the individual driving distances.

[0017] On the logistics shipping line, the actual shipping location is used as the starting point to simulate the overall travel distance to determine the predicted reporting point.

[0018] Optionally, after the individual driving distance is determined, the intelligent tracking method for ocean logistics may further include:

[0019] Obtain various environmental stability coefficients during shipping missions;

[0020] In the remaining driving interval, a single task interval is delineated according to each shipping driving task, and the interval duration is determined based on the single task interval and the current time point;

[0021] The interval confidence parameter corresponding to the interval time interval is determined according to the preset confidence matching relationship, and the interval validity coefficient is determined by calculation based on the interval confidence parameter and the environmental stability coefficient;

[0022] Determine whether all interval validity coefficients are greater than the preset interval reference coefficients;

[0023] If all interval validity coefficients are greater than interval reference coefficients, the overall travel distance is calculated based on all individual travel distances to determine the predicted reporting point;

[0024] If all interval effective coefficients are not greater than the interval reference coefficients, a distance deviation signal is output.

[0025] Optionally, after the route deviation signal is output, the intelligent tracking method for maritime logistics may further include:

[0026] Calculate the compliance deviation coefficient based on the interval effectiveness coefficient and interval benchmark coefficient;

[0027] Determine the distance floating coefficient corresponding to the standard deviation coefficient based on the preset floating matching relationship, and calculate the single distance range based on the distance floating coefficient and the single driving distance;

[0028] Calculate the overall route range based on all individual route ranges, and then define the shipping location intervals on the logistics shipping line based on the overall route range;

[0029] Calculate and analyze the floating shielding ratio based on shielding points and transmission points within the shipping position interval;

[0030] Determine whether the floating shield ratio is greater than the preset baseline shield ratio;

[0031] If the floating shielding ratio is greater than the reference shielding ratio, the nearest transmission point before the shipping position interval is defined as the actual reporting point;

[0032] If the floating shielding percentage is not greater than the baseline shielding percentage, data analysis is maintained to determine the actual reporting point.

[0033] Optionally, after the transfer point is determined, the intelligent tracking method for ocean freight logistics may further include:

[0034] Obtain the environmental stability coefficient at the transmission point, and define the environmental stability coefficient at the interruption time point as the interruption stability coefficient, and define the environmental stability coefficient at the smooth time point as the smooth stability coefficient;

[0035] Under the same environmental stability coefficient, count according to the interruption stability coefficient to determine the number of interruption stability, and count according to the smooth stability coefficient to determine the number of smooth stability;

[0036] The interruption ratio is determined by calculating the interruption ratio and the smooth stability ratio, and the environmental stability coefficient where the interruption ratio is greater than the preset effective interruption ratio is defined as the failure stability coefficient of the current transmission point;

[0037] The environmental stability coefficient of each current transmission point is defined as the transmission stability coefficient, and it is determined whether the transmission stability coefficient is greater than the failure stability coefficient;

[0038] If the transmission stability coefficient is greater than the failure stability coefficient, the currently determined transmission point is maintained;

[0039] If the transmission stability coefficient is not greater than the failure stability coefficient, the current transmission point is switched to the shielding point.

[0040] Optionally, after the actual reporting point is determined, the intelligent tracking method for maritime logistics also includes:

[0041] Get the last reporting point;

[0042] Determine the reporting interval length based on the previous reporting point and the actual reporting point;

[0043] Determine whether the reporting interval is less than the preset frequent interval;

[0044] If the reporting interval is not less than the frequent interval, data will be uploaded based on the actual reporting point;

[0045] If the reporting interval is shorter than the frequent interval, data will not be uploaded at the actual reporting point to re-determine the actual reporting point.

[0046] Optionally, also include:

[0047] Obtain information reporting status at the actual reporting point;

[0048] Determine whether the information reporting status is consistent with the smooth reporting status;

[0049] If the information reporting status is consistent with the unobstructed reporting status, the unobstructed signal is output and the data is controlled to be reported;

[0050] If the information reporting status is inconsistent with the unobstructed reporting status, a congestion signal is output, and a unit interval with the current time point as the end point and a width of the preset unit time length is constructed on the time axis;

[0051] Calculation is performed in a unit section based on the congestion signal and the unobstructed signal to determine the reporting evaluation parameters for output.

[0052] In a second aspect, the present application provides an intelligent tracking system for maritime logistics, which adopts the following technical solutions:

[0053] An intelligent tracking system for maritime logistics, comprising:

[0054] The acquisition module is used to obtain the actual shipping location and report the remaining time;

[0055] A processing module, connected to the acquisition module and the judgment module, for storing and processing information;

[0056] The judgment module is connected with the acquisition module and the processing module and is used for judging the information;

[0057] The processing module analyzes the actual shipping location and the remaining reporting time in the preset logistics shipping line to determine the predicted reporting point;

[0058] The processing module constructs a historical interval with the current time point as the end point and a width of the preset historical length on the preset time axis, and obtains the information reporting status of each location point on the logistics shipping line in the historical interval;

[0059] The processing module defines the time point of the information reporting state determined by the judgment module to be consistent with the preset interruption reporting state as the interruption time point, and defines the time point of the information reporting state determined by the judgment module to be consistent with the preset smooth reporting state as the smooth time point;

[0060] The processing module calculates the interruption ratio according to the interruption time point and the smooth time point, and defines the location point where the interruption ratio determined by the judgment module is greater than the preset permitted ratio as a shielding point, and defines the location points other than the shielding point as a transmission point;

[0061] When the judgment module determines that the predicted reporting point is a shielding point, the processing module defines the transmission point that is before and closest to the predicted reporting point as the actual reporting point, and reports data when the judgment module determines that the actual shipping position is consistent with the actual reporting point.

[0062] In summary, this application includes at least one of the following beneficial technical effects:

[0063] 1. During ocean shipping, by predicting the signal communication status of the locations that the ship will subsequently move to on the shipping route, logistics information can be reported in advance before the ship reaches a location where information cannot be reported, thereby reducing the blank period of logistics monitoring and improving the tracking effect of ocean shipping logistics;

[0064] 2. By analyzing the specific mission conditions of the ship's navigation and efficiently simulating the ship's driving conditions, the accuracy of the actual reporting point can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 It is a flow chart of an intelligent tracking method for maritime logistics.

[0066] Figure 2 It is a module flow chart of an intelligent tracking method for maritime logistics. DETAILED DESCRIPTION

[0067] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-Figure 2 It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application.

[0068] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0069] The present application discloses an intelligent tracking method for maritime logistics, referring to Figure 1 The method flow of the intelligent tracking method for maritime logistics includes the following steps:

[0070] Step S100: Obtain the actual shipping location and report the remaining time.

[0071] The actual shipping position is the current position information of the vessel, and the remaining reporting time is the time interval required for the next information data reporting process according to the set regular reporting rules.

[0072] Step S101: Analyze the actual shipping location and the remaining reporting time in the preset logistics shipping line to determine the predicted reporting point.

[0073] The logistics shipping line is the route that the current ship needs to travel during the sea transportation logistics process. The predicted reporting point is the location point that the ship will theoretically reach after reporting the remaining time. The specific determination method is referred to steps S200-S202.

[0074] Step S102: constructing a historical interval with the current time point as the end point and a width of a preset historical length on a preset time axis, and obtaining the information reporting status of each location point on the logistics shipping line in the historical interval.

[0075] The time axis is a coordinate axis formed by the combination of various time points. The coordinate axis points from the time points that have passed to the time points that have not yet arrived, where the time points that have passed are on the left side of the coordinate axis, and the left side of the coordinate axis is defined as the front side of the time axis; the historical duration is the duration set by the staff to obtain shipping data in the current sea area. By constructing a historical interval, it is convenient to obtain and analyze data within the historical duration; the information reporting status refers to whether the ship can report and process information when it moves to the position point on the current logistics shipping line in the historical interval.

[0076] Step S103: defining a time point of the information reporting state consistent with the preset interruption reporting state as an interruption time point, and defining a time point of the information reporting state consistent with the preset smooth reporting state as a smooth time point.

[0077] The interrupted reporting status is the information reporting status when the logistics information cannot be reported and communicated, and the unobstructed reporting status is the information reporting status when the logistics information can be reported and communicated. By defining the interrupted time point and the unobstructed time point, the time points of different information reporting statuses can be distinguished, which is convenient for subsequent analysis.

[0078] Step S104: Calculate the interruption ratio according to the interruption time point and the smooth time point, define the location point where the interruption ratio is greater than the preset permitted ratio as a shielding point, and define the location points other than the shielding point as a transmission point.

[0079] The interruption ratio is the ratio of the interruption time points of a single location point in the historical interval to the interruption time points and the smooth time points, which can be determined by dividing the number of interruption time points by the sum of the number of interruption time points and the smooth time points; the permitted ratio is the minimum interruption ratio set by the staff to determine that there is a high probability that information reporting and processing will not be possible in the current area. When the interruption ratio is greater than the permitted ratio, it means that the corresponding location point cannot meet the subsequent communication requirements, so it is defined as a shielding point. At this time, the transmission point is also defined to identify the location points that can perform information reporting and processing, which is convenient for subsequent analysis.

[0080] Step S105: When the predicted reporting point is a shielded point, the transmission point that is closest to and before the predicted reporting point is defined as the actual reporting point, and data is reported when the actual shipping position is consistent with the actual reporting point.

[0081] When the predicted reporting point is a shielded point, it means that the ship cannot report the information data as scheduled. Therefore, the nearest transmission point before the predicted reporting point is defined as the actual reporting point for data reporting, which reduces the length of the data blank period to a certain extent and improves the tracking effect of the logistics status.

[0082] The steps for analyzing the actual shipping location and the remaining reporting time in the pre-set logistics shipping line to determine the predicted reporting point include:

[0083] Step S200: constructing a remaining driving interval according to the current time point and the reported remaining time, and obtaining a shipping driving task in the remaining driving interval, wherein the shipping driving task includes a task operation time and a task operation speed.

[0084] The remaining driving interval is the specific time interval required for subsequent driving to the time point where reporting is required. The shipping driving task is the task that the ship needs to perform in the remaining driving interval, which includes the task operation time and the task operation speed. The task operation speed is the speed at which the ship needs to travel, and the task operation time is the length of time the ship needs to continue operating at the task operation speed. This task is generally analyzed in advance by shipping personnel based on the external environment conditions to enter the driving plan in advance.

[0085] Step S201: Calculate the individual driving distance based on the task operation duration and the task operation speed, and sum up all the individual driving distances to determine the overall driving distance.

[0086] The individual driving distance is the distance the ship needs to travel during the mission operation duration, and the overall driving distance is the distance the current ship needs to travel within the remaining driving range under theoretical circumstances. It is determined by summing up all the individual driving distances.

[0087] Step S202: Simulate the entire travel distance on the logistics shipping line with the actual shipping location as the starting point to determine the predicted reporting point.

[0088] By simulating the overall moving distance on the logistics shipping line with the actual shipping position as the starting point, the position point of the ship after reporting the remaining time can be determined. At this time, the position point is the predicted reporting point.

[0089] After the individual travel distance is determined, the intelligent tracking method used for maritime logistics also includes:

[0090] Step S300: Obtaining various environmental stability coefficients during the shipping mission.

[0091] The environmental stability coefficient is a parameter value that reflects the corresponding environmental stability when shipping personnel formulate shipping mission plans based on the possible external environment. The less likely the external environment is to change, the higher the corresponding environmental stability coefficient, which means the more resolute the corresponding shipping mission is when executing it. For example, if there is typhoon weather in the corresponding sea area, the environmental changes are more obvious at this time, and the corresponding environmental stability coefficient is lower.

[0092] Step S301: Delimiting individual mission intervals in the remaining travel intervals according to each shipping travel mission, and determining interval durations according to the individual mission intervals and the current time point.

[0093] The single task interval is the time interval for executing a single shipping mission, and the interval interval duration is the interval duration between the single task interval and the current time point, that is, the interval duration between the time point closest to the current time point in the single task interval and the current time point.

[0094] Step S302: determining interval confidence parameters corresponding to interval time intervals according to a preset confidence matching relationship, and performing calculations based on the interval confidence parameters and the environmental stability coefficient to determine the interval validity coefficient.

[0095] The interval confidence parameter is a parameter value that reflects the stability of the task under the current shipping mission. The smaller the interval time interval, the smaller the possibility of sudden changes in the external environment. At this time, the shipping mission input by the shipping personnel is more stable, and the corresponding interval confidence parameter is higher; the interval effectiveness coefficient is a parameter value that reflects the stability of the interval task under the current environment. The calculation formula is τ=α*Q+β*H, where τ is the interval effectiveness coefficient, Q is the interval confidence parameter, H is the environmental stability coefficient, α is the calculation weight value preset by the staff to reflect the importance of the interval confidence parameter, and β is the calculation weight value preset by the staff to reflect the importance of the environmental stability coefficient, where α+β=1.

[0096] Step S303: Determine whether all interval effective coefficients are greater than the preset interval reference coefficients.

[0097] The interval benchmark coefficient is the minimum interval effectiveness coefficient set by the staff to determine that the tasks in the interval can be well executed without large deviations. The purpose of the judgment is to know whether the reliability of the individual driving distances determined in each current interval is high, so as to determine the predicted reporting point.

[0098] Step S3031: If all interval validity coefficients are greater than interval reference coefficients, the overall driving distance is calculated based on all individual driving distances to determine the predicted reporting point.

[0099] When all interval validity coefficients are greater than interval reference coefficients, it indicates that the individual driving distances determined under each task are relatively accurate and stable. Therefore, the overall driving distance can be calculated based on them to determine the predicted reporting point.

[0100] Step S3032: If all interval effective coefficients are not greater than the interval reference coefficients, a distance deviation signal is output.

[0101] When all interval validity coefficients are not greater than the interval reference coefficients, it indicates that the distance under the interval of at least one task may change due to task changes. Therefore, a distance deviation signal is output to identify the situation for subsequent analysis.

[0102] After the route deviation signal is output, the intelligent tracking method for maritime logistics also includes:

[0103] Step S400: Calculate the standard deviation coefficient based on the interval effective coefficient and the interval reference coefficient.

[0104] The compliance deviation coefficient is the difference between the interval effective coefficient and the interval benchmark coefficient in the current task interval. This value also reflects the stability of the task.

[0105] Step S401: Determine the distance floating coefficient corresponding to the standard deviation coefficient according to a preset floating matching relationship, and calculate the single distance range according to the distance floating coefficient and the single driving distance.

[0106] The distance floating coefficient is a parameter value that reflects the need for floating changes in the currently determined single driving distance. When the standard deviation coefficient is larger, the corresponding distance floating coefficient is also larger. The single distance range is the range of distances that may occur when executing the current task. The floating distance value is determined by multiplying the single driving distance by the distance floating coefficient, and then the floating distance value is added and subtracted according to the single driving distance to determine the single distance range.

[0107] Step S402: Calculate the overall distance range based on all individual distance ranges, and define shipping location intervals on the logistics shipping line based on the overall distance range.

[0108] The lower limit of the overall distance range can be determined by adding the lower limit values ​​of all individual distance ranges, and the upper limit of the overall distance range can be determined by adding the upper limit values ​​of all individual distance ranges. The shipping position interval is the path interval of the ship on the logistics shipping line within the overall distance range.

[0109] Step S403: performing calculation and analysis based on shielding points and transmission points in the shipping position interval to determine the floating shielding ratio.

[0110] The floating shielding ratio is the ratio of shielding points to all position points in the shipping position interval, which is determined by dividing the number of shielding points by the number of all position points.

[0111] Step S404: determining whether the floating shielding ratio is greater than a preset reference shielding ratio.

[0112] The benchmark shielding ratio is the minimum floating shielding ratio set by the staff to determine that there is a high probability that information data cannot be reported within the current range. The purpose of the judgment is to effectively analyze the situation within the shipping position range.

[0113] Step S4041: If the floating shielding ratio is greater than the reference shielding ratio, the nearest transmission point before the shipping position interval is defined as the actual reporting point.

[0114] When the floating shielding ratio is greater than the baseline shielding ratio, it means that there is a high possibility that information data cannot be reported within the currently determined shipping position range. Therefore, the previous closest transmission point can be defined as the actual reporting point.

[0115] Step S4042: If the floating shielding ratio is not greater than the reference shielding ratio, then continue data analysis to determine the actual reporting point.

[0116] When the floating shielding ratio is not greater than the baseline shielding ratio, it means that the data information may be able to be reported and processed. At this time, the ship position analysis can be continued to determine the predicted reporting point to determine the actual reporting point.

[0117] After the transfer point is determined, the intelligent tracking methods used for ocean logistics also include:

[0118] Step S500: Obtain an environmental stability coefficient at a transmission point, and define the environmental stability coefficient at an interruption time point as an interruption stability coefficient, and define the environmental stability coefficient at a smooth time point as a smooth stability coefficient.

[0119] The interruption stability coefficient and the smooth stability coefficient are defined to distinguish the environmental stability coefficients of each transmission point under different conditions, which is convenient for subsequent analysis.

[0120] Step S501 : Under the same value of the environmental stability coefficient, counting is performed according to the interruption stability coefficient to determine the interruption stability number, and counting is performed according to the smooth stability coefficient to determine the smooth stability number.

[0121] The interruption stability number is the number of a single transmission point at the interruption time point under the same environmental stability coefficient value, and the smooth stability number is the number of a single transmission point at the smooth time point under the same environmental stability coefficient value.

[0122] Step S502: Calculate the interruption ratio according to the interruption stability number and the smooth stability number, and define the environmental stability coefficient where the interruption ratio is greater than the preset interruption effective ratio as the failure stability coefficient of the current transmission point.

[0123] The interruption ratio is the proportion of time points at which the transmission point is unable to report information under the current environmental stability coefficient, and is determined by dividing the interruption stability number by the sum of the interruption stability number and the smooth stability number. The effective interruption ratio is the minimum interruption ratio set by the staff when the transmission point has a high probability of being a location point where information cannot be reported under the current environmental stability coefficient. The failure stability coefficient is defined to identify the environmental stability coefficient at the current location point where information cannot be reported, which facilitates subsequent analysis.

[0124] Step S503: defining the current environmental stability coefficient of each transmission point as a transmission stability coefficient, and determining whether the transmission stability coefficient is greater than the failure stability coefficient.

[0125] The transmission stability coefficient is defined to identify the environmental stability coefficient of the current transmission point, thereby facilitating analysis of the external environment of the current transmission point. The purpose of the judgment is to determine whether the current transmission point may be unable to report and transmit information due to the external environment.

[0126] Step S5031: If the transmission stability coefficient is greater than the failure stability coefficient, the currently determined transmission point is maintained.

[0127] When the transmission stability coefficient is greater than the failure stability coefficient, it means that the current external environment is relatively stable and it is unlikely that information will be unable to be reported and transmitted due to the external environment. In this case, the currently determined transmission point can be maintained.

[0128] Step S5032: If the transmission stability coefficient is not greater than the failure stability coefficient, the current transmission point is switched to the shielding point.

[0129] When the transmission stability coefficient is not greater than the failure stability coefficient, it means that the current external environment is relatively bad, which may cause the information to be unable to be reported and transmitted. Therefore, it is defined as a shielding point to ensure that subsequent information data can be reported and processed more stably.

[0130] After the actual reporting point is determined, the intelligent tracking methods used for maritime logistics also include:

[0131] Step S600: Obtain the last reporting point.

[0132] The last reporting point is the time point when the information data was last reported.

[0133] Step S601: Determine the reporting interval duration based on the last reporting point and the actual reporting point.

[0134] The reporting interval is the interval between the last reporting point and the actual reporting point.

[0135] Step S602: Determine whether the reporting interval is less than a preset frequent interval.

[0136] The frequent interval duration is the maximum reporting interval duration allowed when the staff determines that the data reporting is too frequent. The purpose of the judgment is to know whether the current data reporting is too frequent, that is, whether it is necessary to report the data at the actual reporting point.

[0137] Step S6021: If the reporting interval is not less than the frequent interval, data is uploaded according to the actual reporting point.

[0138] When the reporting interval is not less than the frequent interval, it means that frequent data reporting will not occur, and data reporting can be carried out normally.

[0139] Step S6022: If the reporting interval is shorter than the frequent interval, data uploading is not performed at the actual reporting point to re-determine the actual reporting point.

[0140] When the reporting interval is shorter than the frequent interval, it indicates that the actual reporting point currently determined is relatively close to the last reporting time, and there is no need to report the information, so no data upload is performed.

[0141] Smart tracking methods for ocean freight logistics also include:

[0142] Step S700: Obtain information reporting status at the actual reporting point.

[0143] Obtaining the information reporting status at the actual reporting point can facilitate subsequent analysis.

[0144] Step S701: Determine whether the information reporting status is consistent with the smooth reporting status.

[0145] The purpose of the judgment is to find out whether the information reporting work can be completed at the actual reporting point.

[0146] Step S7011: If the information reporting status is consistent with the unobstructed reporting status, a unobstructed signal is output and the data is controlled to be reported.

[0147] When the information reporting status is consistent with the unobstructed reporting status, it means that the information reporting work can be achieved as planned. At this time, a unobstructed signal is output to identify the situation for subsequent analysis.

[0148] Step S7012: If the information reporting status is inconsistent with the unobstructed reporting status, a congestion signal is output, and a unit interval with the current time point as the rear end point and a width of a preset unit time length is constructed on the time axis.

[0149] When the information reporting status is inconsistent with the unobstructed reporting status, it means that the information reporting work cannot be implemented as planned, that is, the actual reporting point currently determined is inappropriate, so a congestion signal is output to identify the situation for subsequent analysis; the unit duration is a fixed duration set by the staff, and the unit duration must include at least 10 information reporting operation cycles. By constructing a unit interval, it is convenient to obtain and analyze the data within the unit duration.

[0150] Step S702: Calculate and output reporting evaluation parameters based on the congestion signal and the unobstructed signal in the unit section.

[0151] By dividing the number of blocked signals by the number of unobstructed signals, we can obtain a reporting evaluation parameter that reflects the appropriateness of determining the data reporting time point. The smaller the value, the more reasonable the actual reporting point determined by the current system is, and vice versa.

[0152] Reference Figure 2 Based on the same inventive concept, an embodiment of the present invention provides an intelligent tracking system for maritime logistics, comprising:

[0153] The acquisition module is used to obtain the actual shipping location and report the remaining time;

[0154] A processing module, connected to the acquisition module and the judgment module, for storing and processing information;

[0155] The judgment module is connected with the acquisition module and the processing module and is used for judging the information;

[0156] The processing module analyzes the actual shipping location and the remaining reporting time in the preset logistics shipping line to determine the predicted reporting point;

[0157] The processing module constructs a historical interval with the current time point as the end point and a width of the preset historical length on the preset time axis, and obtains the information reporting status of each location point on the logistics shipping line in the historical interval;

[0158] The processing module defines the time point of the information reporting state determined by the judgment module to be consistent with the preset interruption reporting state as the interruption time point, and defines the time point of the information reporting state determined by the judgment module to be consistent with the preset smooth reporting state as the smooth time point;

[0159] The processing module calculates the interruption ratio according to the interruption time point and the smooth time point, and defines the location point where the interruption ratio determined by the judgment module is greater than the preset permitted ratio as a shielding point, and defines the location points other than the shielding point as a transmission point;

[0160] When the judgment module determines that the predicted reporting point is a shielded point, the processing module defines the transmission point that is before and closest to the predicted reporting point as the actual reporting point, and reports data when the judgment module determines that the actual shipping position is consistent with the actual reporting point;

[0161] A predicted reporting point determination module is used to determine the predicted reporting point of the vessel;

[0162] A distance deviation determination module is used to determine whether the determined single-unit driving distance may have a deviation;

[0163] The route deviation analysis module is used to effectively handle and analyze the situation of route deviation;

[0164] The transmission point precision module is used to accurately determine the transmission point to improve the stability of information reporting;

[0165] Reporting interval analysis module, used to analyze the interval length of information reporting;

[0166] The information reporting evaluation module is used to evaluate the use of the current system's prediction and advance reporting function.

[0167] Those skilled in the art will clearly understand that for the sake of convenience and brevity, the division of the above-mentioned functional modules is only used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-mentioned systems, devices, and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

Claims

1. An intelligent tracking method for maritime logistics, characterized in that: include: Obtain the actual shipping location and report the remaining time; Analyze the actual shipping location and remaining reporting time in the preset logistics shipping line to determine the predicted reporting point; Construct a historical interval with the current time point as the end point and a width of the preset historical length on the preset time axis, and obtain the information reporting status of each location point on the logistics shipping line in the historical interval; The time point of the information reporting state consistent with the preset interruption reporting state is defined as the interruption time point, and the time point of the information reporting state consistent with the preset smooth reporting state is defined as the smooth time point; The interruption ratio is determined by calculating the interruption time point and the smooth time point, and the location point where the interruption ratio is greater than the preset permitted ratio is defined as a shielding point, and the location points other than the shielding point are defined as transmission points; When the predicted reporting point is a shielding point, the transmission point that is before and closest to the predicted reporting point is defined as the actual reporting point, and data is reported when the actual shipping position is consistent with the actual reporting point.

2. The intelligent tracking method for maritime logistics according to claim 1, characterized in that: The steps for analyzing the actual shipping location and the remaining reporting time in the pre-set logistics shipping line to determine the predicted reporting point include: Construct the remaining driving interval based on the current time point and the reported remaining time, and obtain the shipping driving task in the remaining driving interval, where the shipping driving task includes the task operation time and task operation speed; The individual driving distance is determined by calculating the duration and speed of the task, and the overall driving distance is determined by summing up all the individual driving distances. On the logistics shipping line, the actual shipping location is used as the starting point to simulate the overall travel distance to determine the predicted reporting point.

3. The intelligent tracking method for maritime logistics according to claim 2, characterized in that: After the individual travel distance is determined, the intelligent tracking method used for maritime logistics also includes: Obtain various environmental stability coefficients during shipping missions; In the remaining driving interval, a single task interval is delineated according to each shipping driving task, and the interval duration is determined based on the single task interval and the current time point; The interval confidence parameter corresponding to the interval time interval is determined according to the preset confidence matching relationship, and the interval validity coefficient is determined by calculation based on the interval confidence parameter and the environmental stability coefficient; Determine whether all interval validity coefficients are greater than the preset interval reference coefficients; If all interval validity coefficients are greater than interval reference coefficients, the overall travel distance is calculated based on all individual travel distances to determine the predicted reporting point; If all interval effective coefficients are not greater than the interval reference coefficients, a distance deviation signal is output.

4. The intelligent tracking method for maritime logistics according to claim 3, characterized in that: After the route deviation signal is output, the intelligent tracking method for maritime logistics also includes: Calculate the compliance deviation coefficient based on the interval effectiveness coefficient and interval benchmark coefficient; Determine the distance floating coefficient corresponding to the standard deviation coefficient based on the preset floating matching relationship, and calculate the single distance range based on the distance floating coefficient and the single driving distance; Calculate the overall route range based on all individual route ranges, and then define the shipping location intervals on the logistics shipping line based on the overall route range; Performing calculations and analyses based on shielding points and transmission points within the shipping position interval to determine a floating shielding ratio; determining whether the floating shielding ratio is greater than a preset baseline shielding ratio; If the floating shielding ratio is greater than the reference shielding ratio, the nearest transmission point before the shipping position interval is defined as the actual reporting point; If the floating shielding percentage is not greater than the baseline shielding percentage, data analysis is maintained to determine the actual reporting point.

5. The intelligent tracking method for maritime logistics according to claim 3, characterized in that: After the transfer point is determined, the intelligent tracking methods used for ocean logistics also include: Obtain the environmental stability coefficient at the transmission point, and define the environmental stability coefficient at the interruption time point as the interruption stability coefficient, and define the environmental stability coefficient at the smooth time point as the smooth stability coefficient; Under the same environmental stability coefficient, count according to the interruption stability coefficient to determine the number of interruption stability, and count according to the smooth stability coefficient to determine the number of smooth stability; The interruption ratio is determined by calculating the interruption ratio and the smooth stability ratio, and the environmental stability coefficient where the interruption ratio is greater than the preset effective interruption ratio is defined as the failure stability coefficient of the current transmission point; The environmental stability coefficient of each current transmission point is defined as the transmission stability coefficient, and it is determined whether the transmission stability coefficient is greater than the failure stability coefficient; If the transmission stability coefficient is greater than the failure stability coefficient, the currently determined transmission point is maintained; If the transmission stability coefficient is not greater than the failure stability coefficient, the current transmission point is switched to the shielding point.

6. The intelligent tracking method for maritime logistics according to claim 1, characterized in that: After the actual reporting point is determined, the intelligent tracking methods used for maritime logistics also include: Get the last reporting point; Determine the reporting interval length based on the previous reporting point and the actual reporting point; Determine whether the reporting interval is less than the preset frequent interval; If the reporting interval is not less than the frequent interval, data will be uploaded based on the actual reporting point; If the reporting interval is shorter than the frequent interval, data will not be uploaded at the actual reporting point to re-determine the actual reporting point.

7. The intelligent tracking method for maritime logistics according to claim 1, characterized in that: Also includes: Obtain information reporting status at the actual reporting point; Determine whether the information reporting status is consistent with the smooth reporting status; If the information reporting status is consistent with the unobstructed reporting status, the unobstructed signal is output and the data is controlled to be reported; If the information reporting status is inconsistent with the unobstructed reporting status, a congestion signal is output, and a unit interval with the current time point as the end point and a width of the preset unit time length is constructed on the time axis; Calculation is performed in a unit section based on the congestion signal and the unobstructed signal to determine the reporting evaluation parameters for output.

8. An intelligent tracking system for maritime logistics, characterized in that: include: The acquisition module is used to obtain the actual shipping location and report the remaining time; A processing module, connected to the acquisition module and the judgment module, for storing and processing information; The judgment module is connected with the acquisition module and the processing module and is used for judging the information; The processing module analyzes the actual shipping location and the remaining reporting time in the preset logistics shipping line to determine the predicted reporting point; The processing module constructs a historical interval on a preset time axis with the current time point as the end point and a width of a preset historical length, and obtains the information reporting status of each location point on the logistics shipping line in the historical interval; the processing module defines the time point of the information reporting status determined by the judgment module to be consistent with the preset interruption reporting status as the interruption time point, and defines the time point of the information reporting status determined by the judgment module to be consistent with the preset smooth reporting status as the smooth time point; The processing module calculates the interruption ratio according to the interruption time point and the smooth time point, and defines the location point where the interruption ratio determined by the judgment module is greater than the preset permitted ratio as a shielding point, and defines the location points other than the shielding point as a transmission point; When the judgment module determines that the predicted reporting point is a shielding point, the processing module defines the transmission point that is before and closest to the predicted reporting point as the actual reporting point, and reports data when the judgment module determines that the actual shipping position is consistent with the actual reporting point.

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